microsoft
/
build20AcceleratedSpark
зеркало из https://github.com/microsoft/build20AcceleratedSpark.git
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность

dropping the demo

This commit is contained in:
fierval 2020-05-21 18:38:19 -07:00
Родитель 5c23e92fe9
Коммит 12e0b28e13
159 изменённых файлов: 150193 добавлений и 44 удалений
Показать статистику Скачать Patch файл Скачать Diff файл Показать все файлы Свернуть все файлы

345
.gitignore поставляемый Normal file
Просмотреть файл

@ -0,0 +1,345 @@
## Ignore Visual Studio temporary files, build results, and
## files generated by popular Visual Studio add-ons.
##
## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore
# User-specific files
*.suo
*.user
*.userosscache
*.sln.docstates
.idea/
target/
.image/
build/
# User-specific files (MonoDevelop/Xamarin Studio)
*.userprefs
# Build results
[Dd]ebug/
[Dd]ebugPublic/
[Rr]elease/
[Rr]eleases/
x64/
x86/
bld/
[Bb]in/
[Oo]bj/
[Ll]og/
# Visual Studio 2015/2017 cache/options directory
.vs/
.vscode/
# Uncomment if you have tasks that create the project's static files in wwwroot
#wwwroot/
# Visual Studio 2017 auto generated files
Generated\ Files/
# MSTest test Results
[Tt]est[Rr]esult*/
[Bb]uild[Ll]og.*
# NUNIT
*.VisualState.xml
TestResult.xml
# Build Results of an ATL Project
[Dd]ebugPS/
[Rr]eleasePS/
dlldata.c
# Benchmark Results
BenchmarkDotNet.Artifacts/
# .NET Core
project.lock.json
project.fragment.lock.json
artifacts/
**/Properties/launchSettings.json
# StyleCop
StyleCopReport.xml
# Files built by Visual Studio
*_i.c
*_p.c
*_i.h
*.ilk
*.meta
*.obj
*.iobj
*.pch
*.pdb
*.ipdb
*.pgc
*.pgd
*.rsp
*.sbr
*.tlb
*.tli
*.tlh
*.tmp
*.tmp_proj
*.log
*.vspscc
*.vssscc
.builds
*.pidb
*.svclog
*.scc
# Chutzpah Test files
_Chutzpah*
# Visual C++ cache files
ipch/
*.aps
*.ncb
*.opendb
*.opensdf
*.sdf
*.cachefile
*.VC.db
*.VC.VC.opendb
out/
# Visual Studio profiler
*.psess
*.vsp
*.vspx
*.sap
# Visual Studio Trace Files
*.e2e
# TFS 2012 Local Workspace
$tf/
# Guidance Automation Toolkit
*.gpState
# ReSharper is a .NET coding add-in
_ReSharper*/
*.[Rr]e[Ss]harper
*.DotSettings.user
# JustCode is a .NET coding add-in
.JustCode
# TeamCity is a build add-in
_TeamCity*
# DotCover is a Code Coverage Tool
*.dotCover
# AxoCover is a Code Coverage Tool
.axoCover/*
!.axoCover/settings.json
# Visual Studio code coverage results
*.coverage
*.coveragexml
# NCrunch
_NCrunch_*
.*crunch*.local.xml
nCrunchTemp_*
# MightyMoose
*.mm.*
AutoTest.Net/
# Web workbench (sass)
.sass-cache/
# Installshield output folder
[Ee]xpress/
# DocProject is a documentation generator add-in
DocProject/buildhelp/
DocProject/Help/*.HxT
DocProject/Help/*.HxC
DocProject/Help/*.hhc
DocProject/Help/*.hhk
DocProject/Help/*.hhp
DocProject/Help/Html2
DocProject/Help/html
# Click-Once directory
publish/
# Publish Web Output
*.[Pp]ublish.xml
*.azurePubxml
# Note: Comment the next line if you want to checkin your web deploy settings,
# but database connection strings (with potential passwords) will be unencrypted
*.pubxml
*.publishproj
# Microsoft Azure Web App publish settings. Comment the next line if you want to
# checkin your Azure Web App publish settings, but sensitive information contained
# in these scripts will be unencrypted
PublishScripts/
# NuGet Packages
*.nupkg
# The packages folder can be ignored because of Package Restore
**/[Pp]ackages/*
# except build/, which is used as an MSBuild target.
!**/[Pp]ackages/build/
# Uncomment if necessary however generally it will be regenerated when needed
#!**/[Pp]ackages/repositories.config
# NuGet v3's project.json files produces more ignorable files
*.nuget.props
*.nuget.targets
# Microsoft Azure Build Output
csx/
*.build.csdef
# Microsoft Azure Emulator
ecf/
rcf/
# Windows Store app package directories and files
AppPackages/
BundleArtifacts/
Package.StoreAssociation.xml
_pkginfo.txt
*.appx
# Visual Studio cache files
# files ending in .cache can be ignored
*.[Cc]ache
# but keep track of directories ending in .cache
!*.[Cc]ache/
# Others
ClientBin/
~$*
*~
*.dbmdl
*.dbproj.schemaview
*.jfm
*.pfx
*.publishsettings
orleans.codegen.cs
# Including strong name files can present a security risk
# (https://github.com/github/gitignore/pull/2483#issue-259490424)
#*.snk
# Since there are multiple workflows, uncomment next line to ignore bower_components
# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
#bower_components/
# RIA/Silverlight projects
Generated_Code/
# Backup & report files from converting an old project file
# to a newer Visual Studio version. Backup files are not needed,
# because we have git ;-)
_UpgradeReport_Files/
Backup*/
UpgradeLog*.XML
UpgradeLog*.htm
ServiceFabricBackup/
*.rptproj.bak
# SQL Server files
*.mdf
*.ldf
*.ndf
# Business Intelligence projects
*.rdl.data
*.bim.layout
*.bim_*.settings
*.rptproj.rsuser
# Microsoft Fakes
FakesAssemblies/
# GhostDoc plugin setting file
*.GhostDoc.xml
# Node.js Tools for Visual Studio
.ntvs_analysis.dat
node_modules/
# Visual Studio 6 build log
*.plg
# Visual Studio 6 workspace options file
*.opt
# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
*.vbw
# Visual Studio LightSwitch build output
**/*.HTMLClient/GeneratedArtifacts
**/*.DesktopClient/GeneratedArtifacts
**/*.DesktopClient/ModelManifest.xml
**/*.Server/GeneratedArtifacts
**/*.Server/ModelManifest.xml
_Pvt_Extensions
# Paket dependency manager
.paket/paket.exe
paket-files/
# FAKE - F# Make
.fake/
# JetBrains Rider
.idea/
*.sln.iml
# CodeRush
.cr/
# Python Tools for Visual Studio (PTVS)
__pycache__/
*.pyc
.ipynb_checkpoints/
# Cake - Uncomment if you are using it
# tools/**
# !tools/packages.config
# Tabs Studio
*.tss
# Telerik's JustMock configuration file
*.jmconfig
# BizTalk build output
*.btp.cs
*.btm.cs
*.odx.cs
*.xsd.cs
# OpenCover UI analysis results
OpenCover/
# Azure Stream Analytics local run output
ASALocalRun/
# MSBuild Binary and Structured Log
*.binlog
# NVidia Nsight GPU debugger configuration file
*.nvuser
# MFractors (Xamarin productivity tool) working folder
.mfractor/
#Spark
metastore_db/
.metals/
.scalafmt.conf
*.zip

562
Notebooks/FPGA Data Merge.ipynb Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны

316
Notebooks/NYTaxiBenchmarks.scala Normal file
Просмотреть файл

@ -0,0 +1,316 @@
import org.apache.spark.sql.Row
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.types._
import java.sql.Timestamp
// Data from https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page
/*
Yellow Taxi Schema
==================
Header
VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge
VendorID
A code indicating the TPEP provider that provided the record.
1= Creative Mobile Technologies, LLC; 2= VeriFone Inc.
tpep_pickup_datetime
The date and time when the meter was engaged.
tpep_dropoff_datetime
The date and time when the meter was disengaged.
Passenger_count
The number of passengers in the vehicle.
This is a driver-entered value.
Trip_distance
The elapsed trip distance in miles reported by the taximeter.
PULocationID
TLC Taxi Zone in which the taximeter was engaged
DOLocationID
TLC Taxi Zone in which the taximeter was disengaged
RateCodeID
The final rate code in effect at the end of the trip.
1= Standard rate 2=JFK 3=Newark 4=Nassau or Westchester 5=Negotiated fare 6=Group ride
Store_and_fwd_flag
This flag indicates whether the trip record was held in vehicle memory before sending to the vendor, aka “store and forward,” because the vehicle did not have a connection to the server.
Y= store and forward trip N= not a store and forward trip
Payment_type
A numeric code signifying how the passenger paid for the trip. 1= Credit card 2= Cash 3= No charge 4= Dispute 5= Unknown 6= Voided trip
Fare_amount
The time-and-distance fare calculated by the meter.
Extra
Miscellaneous extras and surcharges. Currently, this only includes the $0.50 and $1 rush hour and overnight charges.
MTA_tax
$0.50 MTA tax that is automatically triggered based on the metered rate in use.
Improvement_surcharge
$0.30 improvement surcharge assessed trips at the flag drop. The improvement surcharge began being levied in 2015.
Tip_amount
Tip amount – This field is automatically populated for credit card tips. Cash tips are not included.
Tolls_amount
Total amount of all tolls paid in trip. Total_amount The total amount charged to passengers. Does not include cash tips.
*/
/*
Green Taxi Data Schema
======================
Header
VendorID,lpep_pickup_datetime,Lpep_dropoff_datetime,Store_and_fwd_flag,RateCodeID,Pickup_longitude,Pickup_latitude,Dropoff_longitude,Dropoff_latitude,Passenger_count,Trip_distance,Fare_amount,Extra,MTA_tax,Tip_amount,Tolls_amount,Ehail_fee,Total_amount,Payment_type,Trip_type
VendorID
A code indicating the LPEP provider that provided the record.
1= Creative Mobile Technologies, LLC; 2= VeriFone Inc. lpep_pickup_datetime The date and time when the meter was engaged. lpep_dropoff_datetime The date and time when the meter was disengaged.
Passenger_count
The number of passengers in the vehicle.
This is a driver-entered value. Trip_distance The elapsed trip distance in miles reported by the taximeter. PULocationID TLC Taxi Zone in which the taximeter was engaged DOLocationID TLC Taxi Zone in which the taximeter was disengaged
RateCodeID
The final rate code in effect at the end of the trip.
1= Standard rate 2=JFK 3=Newark 4=Nassau or Westchester 5=Negotiated fare 6=Group ride
Store_and_fwd_flag
This flag indicates whether the trip record was held in vehicle memory before sending to the vendor, aka “store and forward,” because the vehicle did not have a connection to the server.
Y= store and forward trip N= not a store and forward trip
Payment_type
A numeric code signifying how the passenger paid for the trip. 1= Credit card 2= Cash 3= No charge 4= Dispute 5= Unknown 6= Voided trip
Fare_amount
The time-and-distance fare calculated by the meter.
Extra
Miscellaneous extras and surcharges. Currently, this only includes the $0.50 and $1 rush hour and overnight charges.
MTA_tax
$0.50 MTA tax that is automatically triggered based on the metered rate in use.
Improvement_surcharge
$0.30 improvement surcharge assessed on hailed trips at the flag drop. The improvement surcharge began being levied in 2015.
Tip_amount
Trip amount – This field is automatically populated for credit card tips. Cash tips are not included.
Tolls_amount
Total amount of all tolls paid in trip.
Total_amount
The total amount charged to passengers. Does not include cash tips.
Trip_type
A code indicating whether the trip was a street-hail or a dispatch that is automatically assigned based on the metered rate in use but can be altered by the driver.
1= Street-hail 2= Dispatch
*/
/*
Example Queries
Query 1
SELECT cab_type, count(*) FROM trips_csv GROUP BY cab_type;
Query 2
SELECT passenger_count, avg(total_amount) FROM trips_orc GROUP BY passenger_count
Query 3
SELECT passenger_count, year(pickup_datetime), count(*) FROM trips_orc GROUP BY passenger_count, year(pickup_datetime)
Query 4
SELECT passenger_count, year(pickup_datetime) trip_year, round(trip_distance), count(*) trips FROM trips_orc GROUP BY passenger_count, year(pickup_datetime), round(trip_distance) ORDER BY trip_year, trips desc;
*/
/*
Schema for Green Taxi
case class GreenTaxiRide(VendorID: Byte,
lpep_pickup_datetime: TimestampType,
lpep_dropoff_datetime: TimestampType,
Store_and_fwd_flag: Boolean,
RateCodeID: Byte,
Pickup_longitude: Float,
Pickup_latitude: Float,
Dropoff_longitude: Float,
Dropoff_latitude: Float,
Passenger_count: Int,
Trip_distance: Float,
Fare_amount: Float,
Extra: Float,
MTA_tax: Float,
Tip_amount: FLoat,
Tolls_amount: Float,
Ehail_fee: Float,
Total_amount: Float,
Payment_type: Byte,
Trip_type: Byte)
case class YellowTaxiRide (
VendorID: Byte,
lpep_pickup_datetime: TimestampType,
lpep_dropoff_datetime: TimestampType,
passenger_count: Int,
trip_distance: Float,
RateCodeID: Byte,
store_and_fwd_flag: Boolean,
PULocationID: Int,
DOLocationID: Int,
payment_type: Byte,
fare_amount: Float,
extra: Float,
mta_tax: Float,
tip_amount: FLoat,
tolls_amount: Float,
improvement_surcharge:Float,
total_amount:Float
congestion_surcharge: Float
*/
object NyTaxiBenchmarks {
// Converged schema with column projections
case class YellowTaxiRide (
//VendorID: Byte,
pickup_datetime: TimestampType,
//dropoff_datetime: TimestampType,
passenger_count: Int,
trip_distance: Float,
//RateCodeID: Byte,
//store_and_fwd_flag: Boolean,
//PULocationID: Int,
//DOLocationID: Int,
//payment_type: Byte,
//fare_amount: Float,
//extra: Float,
//mta_tax: Float,
//tip_amount: FLoat,
//tolls_amount: Float,
//improvement_surcharge:Float,
total_amount:Float
//congestion_surcharge: Float
)
def main(args: Array[String]) {
val spark = SparkSession.builder().appName("Spark SQL basic example").config("spark.some.config.option", "some-value").getOrCreate()
// For implicit conversions like converting RDDs to DataFrames
import spark.implicits._
// Print working direcotory
System.getProperty("user.dir")
// Define Programmatic Schema
val schema = StructType(
List(
StructField("pickup_datetime", TimestampType, nullable=true),
StructField("passenger_count", IntegerType, nullable=true),
StructField("trip_distance", FloatType, nullable=true),
StructField("total_amount", FloatType, nullable=true)
)
)
println(schema.toDDL)
//runBasicCountQuery(spark)
// Load yellow taxidata
val nyYellowTaxiDF = loadYellowTaxiData(spark, schema)
// Query 1
val totRides = spark.sql("select count(*) from nyyellowtaxi")
totRides.show()
// Query 2
val avgRides = spark.sql("SELECT passenger_count, avg(total_amount) FROM nyyellowtaxi GROUP BY passenger_count")
avgRides.show()
// Query 3
val psgCount = spark.sql("SELECT passenger_count, year(pickup_datetime), count(*) FROM nyyellowtaxi GROUP BY passenger_count, year(pickup_datetime)")
psgCount.show()
// Query 4
val psgYearCount = spark.sql("SELECT passenger_count, year(pickup_datetime) trip_year, round(trip_distance), count(*) trips FROM nyyellowtaxi GROUP BY passenger_count, year(pickup_datetime), round(trip_distance) ORDER BY trip_year, trips desc")
psgYearCount.show()
spark.stop()
}
def loadYellowTaxiData(spark: SparkSession, schema: StructType): org.apache.spark.sql.DataFrame = {
// NyTaxi RDD
val nyYellowTaxiRDD = spark.sparkContext.textFile("yellow_tripdata_2019-12.csv")
nyYellowTaxiRDD.take(5).foreach(println)
// Convert records of ride to Rows
// Ensure there are no empty rows and fields are proper else filter appropriately
// e.g. rowRDD.filter(row => row != null && row.length>0)
val rowRDD = nyYellowTaxiRDD.map(_.split(",")).map(attr => Row(
Timestamp.valueOf(attr(1)),
attr(3).toInt,
attr(4).toFloat,
attr(16).toFloat
)
)
rowRDD.take(5).foreach(println)
//rowRDD.collect().foreach(f=>{println(f)})
// Apply the schema to the RDD
val nyYellowTaxiDF = spark.createDataFrame(rowRDD, schema)
//nyYellowTaxiDF.show()
// Creates a temporary view using the DataFrame
nyYellowTaxiDF.createOrReplaceTempView("nyyellowtaxi")
// nytaxiDF.createGlobalTempView("nytaxi")
//val totRides = spark.sql("select count(*) from nyyellowtaxi")
//totRides.show()
return nyYellowTaxiDF;
}
def runBasicCountQuery(spark: SparkSession): Unit = {
// NyTaxi RDD
val nyGreenTaxiRDD = spark.sparkContext.textFile("green_tripdata_2013-08.csv")
// Programmatic Schema with string values
val schemaString = "VendorID Store_and_fwd_flag"
val fields = schemaString.split(" ").map(fieldName => StructField(fieldName, StringType, nullable = true))
val schema = StructType(fields)
// Convert records of the RDD (people) to Rows
val rowRDD = nyGreenTaxiRDD.map(_.split(",")).map(attributes => Row(attributes(0), attributes(3).trim))
// Apply the schema to the RDD
val nyGreenTaxiDF = spark.createDataFrame(rowRDD, schema)
// Creates a temporary view using the DataFrame
nyGreenTaxiDF.createOrReplaceTempView("nygreentaxi")
// nyGreenTaxiDF.createGlobalTempView("nygreentaxi")
// Run the query
val totRides = spark.sql("select count(*) from nygreentaxi")
// Show results
totRides.show()
}
}

474
Notebooks/Scratchpad.ipynb Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны

1190
Notebooks/Standardize Schema.ipynb Normal file
Просмотреть файл

Разница между файлами не показана из-за своего большого размера Загрузить разницу

676
Notebooks/Yellow Taxi Initial.ipynb Normal file
Просмотреть файл

@ -0,0 +1,676 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Taxi Queries on a Single DF from CSV"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting Spark application\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
"<tr><th>ID</th><th>YARN Application ID</th><th>Kind</th><th>State</th><th>Spark UI</th><th>Driver log</th><th>Current session?</th></tr><tr><td>1</td><td>application_1586146063972_0005</td><td>pyspark</td><td>idle</td><td><a target=\"_blank\" href=\"https://pipedreamhd.azurehdinsight.net/yarnui/hn/proxy/application_1586146063972_0005/\">Link</a></td><td><a target=\"_blank\" href=\"http://wn4-pipedr.bh4dzsewnzne3doz2hewdd4akd.dx.internal.cloudapp.net:30060/node/containerlogs/container_1586146063972_0005_01_000001/livy\">Link</a></td><td>✔</td></tr></table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"SparkSession available as 'spark'.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pyspark.sql import SparkSession\n",
"import pyspark.sql.functions as F"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pyspark.sql.types import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_file_loc=\"wasb://yellow@pipedreamdemo/taxi_data/yellow_tripdata_2019-12.csv\"\n",
"schema_cols = \"VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge\".split(',')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_orig_schema = (\n",
" StructType()\n",
" .add(\"VendorID\", IntegerType())\n",
" .add(\"tpep_pickup_datetime\", TimestampType())\n",
" .add(\"tpep_dropoff_datetime\", TimestampType())\n",
" .add(\"passenger_count\", IntegerType())\n",
" .add(\"trip_distance\", DoubleType())\n",
" .add(\"RatecodeID\", IntegerType())\n",
" .add(\"store_and_fwd_flag\", StringType())\n",
" .add(\"PULocationID\", IntegerType())\n",
" .add(\"DOLocationID\", IntegerType())\n",
" .add(\"payment_type\", IntegerType())\n",
" .add(\"fare_amount\", DoubleType())\n",
" .add(\"extra\", DoubleType())\n",
" .add(\"mta_tax\", DoubleType())\n",
" .add(\"tip_amount\", DoubleType())\n",
" .add(\"tolls_amount\", DoubleType())\n",
" .add(\"improvement_surcharge\", DoubleType())\n",
" .add(\"total_amount\", DoubleType())\n",
" .add(\"congestion_surcharge\", DoubleType())\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read it"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"An error was encountered:\n",
"Interpreter died:\n",
"\n",
"/usr/hdp/current/spark2-client/python/pyspark/context.py:261: RuntimeWarning: Failed to add file [file:/usr/hdp/current/spark2-client/python/lib/pyspark.zip] speficied in 'spark.submit.pyFiles' to Python path:\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/tmp\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/spark-b02c8e03-a6a6-40a4-a364-0e86f485fb21/userFiles-6c84950d-1e7c-4433-af02-3d504a2657da\n",
" /usr/hdp/current/spark2-client/python\n",
" /usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/pyspark.zip\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/py4j-0.10.7-src.zip\n",
" /usr/bin/anaconda/lib/python27.zip\n",
" /usr/bin/anaconda/lib/python2.7\n",
" /usr/bin/anaconda/lib/python2.7/plat-linux2\n",
" /usr/bin/anaconda/lib/python2.7/lib-tk\n",
" /usr/bin/anaconda/lib/python2.7/lib-old\n",
" /usr/bin/anaconda/lib/python2.7/lib-dynload\n",
" /usr/bin/anaconda/lib/python2.7/site-packages\n",
" /usr/bin/anaconda/lib/python2.7/site-packages/Sphinx-1.4.6-py2.7.egg\n",
" /var/lib/.jupyter/jupyterazure\n",
" /usr/bin/anaconda/lib/python2.7/site-packages/setuptools-27.2.0-py2.7.egg\n",
" RuntimeWarning)\n",
"/usr/hdp/current/spark2-client/python/pyspark/context.py:261: RuntimeWarning: Failed to add file [file:/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip] speficied in 'spark.submit.pyFiles' to Python path:\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/tmp\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/spark-b02c8e03-a6a6-40a4-a364-0e86f485fb21/userFiles-6c84950d-1e7c-4433-af02-3d504a2657da\n",
" /usr/hdp/current/spark2-client/python\n",
" /usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/pyspark.zip\n",
" /mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/py4j-0.10.7-src.zip\n",
" /usr/bin/anaconda/lib/python27.zip\n",
" /usr/bin/anaconda/lib/python2.7\n",
" /usr/bin/anaconda/lib/python2.7/plat-linux2\n",
" /usr/bin/anaconda/lib/python2.7/lib-tk\n",
" /usr/bin/anaconda/lib/python2.7/lib-old\n",
" /usr/bin/anaconda/lib/python2.7/lib-dynload\n",
" /usr/bin/anaconda/lib/python2.7/site-packages\n",
" /usr/bin/anaconda/lib/python2.7/site-packages/Sphinx-1.4.6-py2.7.egg\n",
" /var/lib/.jupyter/jupyterazure\n",
" /usr/bin/anaconda/lib/python2.7/site-packages/setuptools-27.2.0-py2.7.egg\n",
" RuntimeWarning)\n",
"\n",
"ERROR:fake_shell:execute_reply\n",
"Traceback (most recent call last):\n",
" File \"/mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/tmp/1656805614047440300\", line 318, in execute_request\n",
" result = node.execute()\n",
" File \"/mnt/resource/hadoop/yarn/local/usercache/livy/appcache/application_1586146063972_0005/container_1586146063972_0005_01_000001/tmp/1656805614047440300\", line 233, in execute\n",
" raise ExecutionError(sys.exc_info())\n",
"ExecutionError\n",
"\n"
]
}
],
"source": [
"taxi_train_df = spark.read.schema(taxi_orig_schema).csv(taxi_file_loc, header=False)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"root\n",
" |-- VendorID: integer (nullable = true)\n",
" |-- tpep_pickup_datetime: timestamp (nullable = true)\n",
" |-- tpep_dropoff_datetime: timestamp (nullable = true)\n",
" |-- passenger_count: integer (nullable = true)\n",
" |-- trip_distance: double (nullable = true)\n",
" |-- RatecodeID: integer (nullable = true)\n",
" |-- store_and_fwd_flag: string (nullable = true)\n",
" |-- PULocationID: integer (nullable = true)\n",
" |-- DOLocationID: integer (nullable = true)\n",
" |-- payment_type: integer (nullable = true)\n",
" |-- fare_amount: double (nullable = true)\n",
" |-- extra: double (nullable = true)\n",
" |-- mta_tax: double (nullable = true)\n",
" |-- tip_amount: double (nullable = true)\n",
" |-- tolls_amount: double (nullable = true)\n",
" |-- improvement_surcharge: double (nullable = true)\n",
" |-- total_amount: double (nullable = true)\n",
" |-- congestion_surcharge: double (nullable = true)"
]
}
],
"source": [
"taxi_train_df.printSchema()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+--------------------+\n",
"|VendorID|tpep_pickup_datetime|tpep_dropoff_datetime|passenger_count|trip_distance|RatecodeID|store_and_fwd_flag|PULocationID|DOLocationID|payment_type|fare_amount|extra|mta_tax|tip_amount|tolls_amount|improvement_surcharge|total_amount|congestion_surcharge|\n",
"+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+--------------------+\n",
"+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+--------------------+"
]
}
],
"source": [
"taxi_train_df.show(100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Update the schema"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run Queries"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_train_df.createOrReplaceTempView('nyyellowtaxi')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+-------+\n",
"| total|\n",
"+-------+\n",
"|6896317|\n",
"+-------+"
]
}
],
"source": [
"\n",
"count_df = spark.sql(\"select count(*) as total from nyyellowtaxi\").show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+---------------+----+-------+\n",
"|passenger_count|year| total|\n",
"+---------------+----+-------+\n",
"| 5|2009| 6|\n",
"| 6|2019| 147923|\n",
"| 9|2019| 16|\n",
"| 4|2019| 164921|\n",
"| 8|2019| 18|\n",
"| 5|2020| 1|\n",
"| 4|2009| 2|\n",
"| 6|2008| 1|\n",
"| 4|2008| 4|\n",
"| 1|2058| 3|\n",
"| 5|2019| 244875|\n",
"| 1|2009| 16|\n",
"| null|2019| 51018|\n",
"| 3|2019| 302987|\n",
"| 2|2008| 6|\n",
"| 1|2019|4783228|\n",
"| 1|2008| 8|\n",
"| 3|2020| 12|\n",
"| 4|2020| 4|\n",
"| 1|2026| 1|\n",
"+---------------+----+-------+\n",
"only showing top 20 rows"
]
}
],
"source": [
"psg_count_dist = spark.sql(\"SELECT passenger_count, \\\n",
" year(tpep_pickup_datetime) year, count(*) total FROM nyyellowtaxi GROUP BY passenger_count, year(tpep_pickup_datetime)\").show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"avg_fare_psg_count = spark.sql(\"SELECT passenger_count, \\\n",
" avg(total_amount) avg_fare FROM nyyellowtaxi GROUP BY passenger_count\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+---------------+------------------+\n",
"|passenger_count| avg_fare|\n",
"+---------------+------------------+\n",
"| null| 38.10385452193327|\n",
"| 1| 19.2689940821399|\n",
"| 6|19.365102653367924|\n",
"| 3|20.025870953485427|\n",
"| 5| 19.35781789152236|\n",
"| 9| 72.15124999999999|\n",
"| 4|20.576281717809266|\n",
"| 8| 94.81166666666665|\n",
"| 7| 61.69222222222221|\n",
"| 2| 20.35205234127457|\n",
"| 0| 18.94103797144808|\n",
"+---------------+------------------+"
]
}
],
"source": [
"avg_fare_psg_count.show()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"psg_year_count = spark.sql(\"SELECT passenger_count, \\\n",
" year(tpep_pickup_datetime) trip_year, \\\n",
" round(trip_distance) distance, \\\n",
" count(*) trips \\\n",
" FROM nyyellowtaxi \\\n",
" GROUP BY passenger_count, \\\n",
" year(tpep_pickup_datetime), round(trip_distance) ORDER BY trip_year, trips desc\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+---------------+---------+--------+-----+\n",
"|passenger_count|trip_year|distance|trips|\n",
"+---------------+---------+--------+-----+\n",
"| 1| 2008| 1.0| 3|\n",
"| 4| 2008| 1.0| 2|\n",
"| 3| 2008| 1.0| 2|\n",
"| 3| 2008| 3.0| 2|\n",
"| 1| 2008| 0.0| 2|\n",
"| 2| 2008| 1.0| 2|\n",
"| 3| 2008| 0.0| 1|\n",
"| 1| 2008| 10.0| 1|\n",
"| 3| 2008| 4.0| 1|\n",
"| 2| 2008| 8.0| 1|\n",
"| 1| 2008| 12.0| 1|\n",
"| 6| 2008| 18.0| 1|\n",
"| 5| 2008| 0.0| 1|\n",
"| 2| 2008| 3.0| 1|\n",
"| 2| 2008| 0.0| 1|\n",
"| 2| 2008| 17.0| 1|\n",
"| 5| 2008| 1.0| 1|\n",
"| 4| 2008| 2.0| 1|\n",
"| 5| 2008| 2.0| 1|\n",
"| 1| 2008| 8.0| 1|\n",
"+---------------+---------+--------+-----+\n",
"only showing top 20 rows"
]
}
],
"source": [
"psg_year_count.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "PySpark",
"language": "",
"name": "pysparkkernel"
},
"language_info": {
"codemirror_mode": {
"name": "python",
"version": 3
},
"mimetype": "text/x-python",
"name": "pyspark",
"pygments_lexer": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

280
Notebooks/Yellow Taxi Stream-Local.ipynb Normal file
Просмотреть файл

@ -0,0 +1,280 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Taxi Queries on a Structured Stream\n",
"\n",
"We have 106GB of NYC Yellow Taxi data that has been cleaned and normalized based on the [published schema](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf)\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pyspark.sql import SparkSession\n",
"import pyspark.sql.functions as F\n",
"from pyspark.sql.types import *\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <div>\n",
" <p><b>SparkSession - hive</b></p>\n",
" \n",
" <div>\n",
" <p><b>SparkContext</b></p>\n",
"\n",
" <p><a href=\"http://localsparkeast.internal.cloudapp.net:4041\">Spark UI</a></p>\n",
"\n",
" <dl>\n",
" <dt>Version</dt>\n",
" <dd><code>v2.4.4</code></dd>\n",
" <dt>Master</dt>\n",
" <dd><code>local[*]</code></dd>\n",
" <dt>AppName</dt>\n",
" <dd><code>pyspark-shell</code></dd>\n",
" </dl>\n",
" </div>\n",
" \n",
" </div>\n",
" "
],
"text/plain": [
"<pyspark.sql.session.SparkSession at 0x7fead4b4e2d0>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"spark = SparkSession.builder.appName(\"readTaxi\").getOrCreate()\n",
"spark"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"taxi_file_dir=os.path.expanduser(\"~/data/taxi_data_cleaned_18_standard/\")\n",
"bad_records_path=os.path.expanduser(\"~/data/badrecords\")\n",
"taxi_output_dir=os.path.expanduser(\"~/data/query_output\")\n",
"checkpoint_loc=os.path.expanduser(\"~/data/checkpoints\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define schema ahead of time for structured streaming"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"taxi_orig_schema = (\n",
" StructType()\n",
" .add(\"VendorID\", IntegerType())\n",
" .add(\"tpep_pickup_datetime\", TimestampType())\n",
" .add(\"tpep_dropoff_datetime\", TimestampType())\n",
" .add(\"passenger_count\", IntegerType())\n",
" .add(\"trip_distance\", DoubleType())\n",
" .add(\"RatecodeID\", IntegerType())\n",
" .add(\"store_and_fwd_flag\", StringType())\n",
" .add(\"PULocationID\", IntegerType())\n",
" .add(\"DOLocationID\", IntegerType())\n",
" .add(\"payment_type\", IntegerType())\n",
" .add(\"fare_amount\", DoubleType())\n",
" .add(\"extra\", DoubleType())\n",
" .add(\"mta_tax\", DoubleType())\n",
" .add(\"tip_amount\", DoubleType())\n",
" .add(\"tolls_amount\", DoubleType())\n",
" .add(\"improvement_surcharge\", DoubleType())\n",
" .add(\"total_amount\", DoubleType())\n",
" .add(\"congestion_surcharge\", DoubleType())\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define Stream Source\n",
"\n",
"Also get the SQL table reference for the dataframe"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"taxi_input_df = (\n",
" spark\n",
" .readStream\n",
" .schema(taxi_orig_schema)\n",
" .option(\"header\", \"false\")\n",
" .option(\"maxFilesPerTrigger\", 1)\n",
" .option(\"badRecordsPath\", bad_records_path)\n",
" .csv(taxi_file_dir) #the source\n",
")\n",
"\n",
"#Create SQL table out of it\n",
"taxi_input_df.createOrReplaceTempView('nyyellowtaxi')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Queries\n",
"\n",
"```sql\n",
"1. select passenger_count, year(tpep_pickup_datetime) year from nyyellowtaxi\n",
"2. select passenger_count, avg(total_amount) as avg_amount from nyyellowtaxi group by passenger_count\n",
"3. select passenger_count, year(tpep_pickup_datetime) year, count(*) total \n",
" from nyyellowtaxi group by passenger_count, year\n",
"4. select passenger_count, year(tpep_pickup_datetime) as year, \n",
" cast(trip_distance as int) as distance, \n",
" count(*) as total \n",
" from nyyellowtaxi\n",
" group by passenger_count, year, distance\n",
" order by year, total desc\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"queries = [\"select passenger_count, year(tpep_pickup_datetime) year from nyyellowtaxi\",\n",
" \"select passenger_count, avg(total_amount) as avg_amount from nyyellowtaxi group by passenger_count\",\n",
" \"select passenger_count, year(tpep_pickup_datetime) year, count(*) total FROM $tableName group by passenger_count, year\",\n",
" \"\"\"select passenger_count, year(tpep_pickup_datetime) as year, \n",
" cast(trip_distance as int) as distance, \n",
" count(*) as total \n",
" from $tableName\n",
" group by passenger_count, year, distance\n",
" order by year, total desMc\"\"\"\n",
" ]\n",
"\n",
"query_names = [\"q{}\".format(i) for i in range(1, len(queries))]\n",
"out_dirs = [os.path.join(taxi_output_dir, n) for n in query_names]\n",
"checkpoint_locs = [os.path.join(checkpoint_loc, n) for n in query_names]\n",
"name_query_outdir = list(zip(query_names, queries, out_dirs, checkpoint_locs))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def start_query(query_desc):\n",
" query_name, query_str, output_dir, checkpoint_loc = query_desc\n",
" q = (\n",
" spark.sql(query_str)\n",
" .writeStream\n",
" .outputMode(\"append\")\n",
" .format(\"csv\")\n",
" .option(\"path\", output_dir)\n",
" .option(\"startingOffsets\", \"earliest\")\n",
" .option(\"checkpointLocation\", checkpoint_loc)\n",
" .queryName(query_name)\n",
" .trigger(processingTime='1 seconds') \n",
" .start()\n",
" )\n",
" return q"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"q1 = start_query(name_query_outdir[0])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'message': 'Processing new data',\n",
" 'isDataAvailable': True,\n",
" 'isTriggerActive': True}"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q1.status"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"q1.stop()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.7 - Spark (local)",
"language": "python",
"name": "spark-3-python"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

591
Notebooks/Yellow Taxi Stream.ipynb Normal file
Просмотреть файл

@ -0,0 +1,591 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Taxi Queries on a Single DF from CSV"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pyspark.sql import SparkSession\n",
"import pyspark.sql.functions as F"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from pyspark.sql.types import *"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_file_loc=\"abfs:///taxi_data/yellow_tripdata_2019-12.csv\"\n",
"taxi_file_dir=\"/taxi_data/\"\n",
"taxi_output_dir=\"/taxi_data_year_count\"\n",
"schema_cols = \"VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge\".split(',')\n",
"bad_recordset_path=\"/taxi_error\"\n",
"checkpoint_loc=\"/checkpoints\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define schema ahead of time for perf"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_orig_schema = (\n",
" StructType()\n",
" .add(\"VendorID\", IntegerType())\n",
" .add(\"tpep_pickup_datetime\", TimestampType())\n",
" .add(\"tpep_dropoff_datetime\", TimestampType())\n",
" .add(\"passenger_count\", IntegerType())\n",
" .add(\"trip_distance\", DoubleType())\n",
" .add(\"RatecodeID\", IntegerType())\n",
" .add(\"store_and_fwd_flag\", StringType())\n",
" .add(\"PULocationID\", IntegerType())\n",
" .add(\"DOLocationID\", IntegerType())\n",
" .add(\"payment_type\", IntegerType())\n",
" .add(\"fare_amount\", DoubleType())\n",
" .add(\"extra\", DoubleType())\n",
" .add(\"mta_tax\", DoubleType())\n",
" .add(\"tip_amount\", DoubleType())\n",
" .add(\"tolls_amount\", DoubleType())\n",
" .add(\"improvement_surcharge\", DoubleType())\n",
" .add(\"total_amount\", DoubleType())\n",
" .add(\"congestion_surcharge\", DoubleType())\n",
")\n",
"\n",
"taxi_clean_chema = (\n",
" StructType()\n",
" .add(\"tpep_pickup_datetime\", TimestampType())\n",
" .add(\"tpep_dropoff_datetime\", TimestampType())\n",
" .add(\"passenger_count\", IntegerType())\n",
" .add(\"trip_distance\", DoubleType())\n",
" .add(\"payment_type\", IntegerType())\n",
" .add(\"fare_amount\", DoubleType())\n",
" .add(\"extra\", DoubleType())\n",
" .add(\"mta_tax\", DoubleType())\n",
" .add(\"tip_amount\", DoubleType())\n",
" .add(\"tolls_amount\", DoubleType())\n",
" .add(\"improvement_surcharge\", DoubleType())\n",
" .add(\"total_amount\", DoubleType())\n",
" .add(\"congestion_surcharge\", DoubleType())\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define Input DF"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_input_df = (\n",
" spark\n",
" .readStream\n",
" .option(\"maxFilesPerTrigger\", 1)\n",
" .schema(taxi_orig_schema)\n",
" .option(\"badRecordsPath\", bad_recordset_path) #any bad records will go here\n",
" .option(\"header\", \"false\")\n",
" .csv(taxi_file_dir) #the source\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"query= (\n",
" taxi_input_df\n",
" .writeStream\n",
" .format(\"parquet\")\n",
" .option(\"path\", taxi_output_dir)\n",
" .option(\"checkpointLocation\", checkpoint_loc)\n",
" .outputMode(\"append\")\n",
" .option(\"startingOffsets\", \"earliest\")\n",
" .queryName(\"taxi\")\n",
"# .trigger(processingTime='5 seconds')\n",
" .start()\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"query.stop()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define Output DF (query)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Read it"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run Queries"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"taxi_input_df.createOrReplaceTempView('nyyellowtaxi')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import uuid\n",
"\n",
"def write_batch_df(batch_df, epoch_id):\n",
" try:\n",
" batch_df.write.csv('{}/taxi_{}'.format(taxi_output_dir, epoch_id), mode='ignore')\n",
" except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q0 = (\n",
" spark.sql(\"SELECT passenger_count, \\\n",
" year(tpep_pickup_datetime) year, count(*) total FROM nyyellowtaxi GROUP BY passenger_count, year(tpep_pickup_datetime)\")\n",
" .writeStream\n",
" .outputMode(\"complete\")\n",
" .foreachBatch(write_batch_df)\n",
" .option(\"startingOffsets\", \"earliest\")\n",
" .queryName(\"year_count\")\n",
" .trigger(processingTime='20 seconds') \n",
" .start()\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{u'message': u'Processing new data', u'isTriggerActive': True, u'isDataAvailable': True}"
]
}
],
"source": [
"q0.status"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"amount = (\n",
"taxi_input_df\n",
".filter(F.col(\"fare_amount\") > 11.0)\n",
".writeStream\n",
".format(\"memory\")\n",
".queryName(\"query4\")\n",
".outputMode(\"append\")\n",
".start() \n",
")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{u'message': u'Processing new data', u'isTriggerActive': True, u'isDataAvailable': True}"
]
}
],
"source": [
"amount.status"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "de48abab00f64efbbdde22e22121809b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%sql\n",
"select * from query4"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"avg_fare_psg_count = spark.sql(\"SELECT passenger_count, \\\n",
" avg(total_amount) avg_fare FROM nyyellowtaxi GROUP BY passenger_count\")"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FloatProgress(value=0.0, bar_style='info', description='Progress:', layout=Layout(height='25px', width='50%'),…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"DataFrame[passenger_count: int, avg_fare: double]"
]
}
],
"source": [
"avg_fare_psg_count"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"psg_year_count = spark.sql(\"SELECT passenger_count, \\\n",
" year(tpep_pickup_datetime) trip_year, \\\n",
" round(trip_distance) distance, \\\n",
" count(*) trips \\\n",
" FROM nyyellowtaxi \\\n",
" GROUP BY passenger_count, \\\n",
" year(tpep_pickup_datetime), round(trip_distance) ORDER BY trip_year, trips desc\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"psg_year_count.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.7 - Spark (local)",
"language": "python",
"name": "spark-3-python"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

246
Notebooks/fake tests.ipynb Normal file
Просмотреть файл

@ -0,0 +1,246 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"from faker import Faker\n",
"import random as rnd\n",
"import os, argparse, logging\n",
"import pandas as pd\n",
"\n",
"logging.basicConfig(format='%(asctime)s %(levelname)-10s %(message)s', datefmt=\"%Y-%m-%d-%H-%M-%S\",\n",
" level=logging.INFO)\n",
"\n",
"def parse_args():\n",
" ap = argparse.ArgumentParser()\n",
" ap.add_argument(\"-o\", \"--outpath\", default=\".\", help=\"Output for csv files\")\n",
" ap.add_argument(\"-n\", \"--n-files\", default=5, type=int, help=\"number of files to generate\")\n",
" ap.add_argument(\"-s\", \"--file-size\", default=10 * 1024 * 1024, type=int, help=\"file size\")\n",
" return ap.parse_args()\n",
"\n",
"columns = (\n",
" [\"Text01\", \"Text02\", \"Text03\", \"Text04\", \"Text05\", \"Text06\", \"IntWritable01\", \"Text07\", \"Text08\"] +\n",
" [\"Text09\", \"Text10\", \"Text11\", \"Text12\", \"Text13\", \"LongWritable01\", \"LongWritable02\", \"LongWritable03\"] +\n",
" [\"LongWritable04\", \"LongWritable05\", \"LongWritable06\", \"Text14\", \"Text15\", \"IntWritable02\", \"Text16\", \"Text17\", \"Text18\", \"Text19\", \"Text20\",] +\n",
" [\"IntWritable03\", \"IntWritable04\", \"Text21\", \"IntWritable05\", \"Text22\", \"Text23\", \"Text24\", \"Text25\", \"Text26\", \"IntWritable06\"] +\n",
" [\"IntWritable07\", \"Text27\", \"IntWritable08\", \"Text28\", \"IntWritable09\", \"IntWritable10\", \"IntWritable11\", \"Text29\", \"Text30\", \"Text31\"]\n",
")\n",
"\n",
"fake = Faker()"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"def get_date():\n",
" return fake.date(pattern='%m:%d:%y %H:%M:%S:%f')[:-3]\n",
"\n",
"def get_dec(a, b):\n",
" return str(fake.pydecimal(left_digits=rnd.randint(a, b), right_digits=0))[:-2].replace('-', '')\n",
"\n",
"def str_exact_chars(n):\n",
" return fake.pystr(min_chars=n, max_chars=n)\n",
"\n",
"def generate_record():\n",
" Text01 = get_date()\n",
" Text02 = get_date()\n",
" Text03 = get_dec(1, 15)\n",
" Text04 = str_exact_chars(3)\n",
" Text05 = get_dec(1, 15)\n",
" Text06 = fake.pystr_format(string_format='###-###-###-###-##{{random_int}}')[:-4]\n",
" IntWriteable01 = get_dec(1, 1)\n",
" Text07 = fake.pystr_format(string_format='###-###-###-###-####{{random_int}}')[:-2]\n",
" Text08 = fake.ipv6()\n",
" Text09 = fake.ipv6()\n",
" Text10 = ''\n",
" Text11 = get_dec(5, 5)\n",
" Text12 = get_dec(5, 5)\n",
" Text13 = get_dec(2, 2)\n",
" LongWritable01 = get_dec(8, 12)\n",
" LongWritable02 = get_dec(8, 12)\n",
" LongWritable03 = get_dec(8, 12)\n",
" LongWritable04 = get_dec(8, 12)\n",
" LongWritable05 = get_dec(8, 12)\n",
" LongWritable06 = get_dec(8, 12)\n",
" Text14 = str_exact_chars(10)\n",
" Text15 = str_exact_chars(10)\n",
" IntWriteable02 = fake.pyint()\n",
" Text16 = str_exact_chars(12)\n",
" Text17= fake.pystr_format(string_format='##{{random_int}}')\n",
" Text18 = fake.ipv4()\n",
" Text19 = str_exact_chars(3)\n",
" Text20 = fake.pystr_format(string_format=\"???_?_??_???_????_?\")\n",
" IntWriteable03 = fake.pyint() \n",
" IntWriteable04 = fake.pyint() \n",
" Text21 = fake.pystr_format(string_format=\"#???###????###??\")\n",
" IntWriteable05 = fake.pyint() \n",
" Text22 = get_dec(1, 2)\n",
" Text23 = \"\"\n",
" Text24 = \"\"\n",
" Text25 = fake.pystr_format(string_format=\"##|###|#####|###|##|####\")\n",
" Text26 = fake.pystr_format(string_format=\"##:#######:###:####\")\n",
" IntWriteable06 = fake.pyint()\n",
" IntWriteable07 = fake.pyint()\n",
" Text27 = fake.ipv6()\n",
" IntWriteable08 = fake.pyint()\n",
" Text28 = fake.ipv6()\n",
" IntWriteable09 = fake.pyint()\n",
" IntWriteable10 = fake.pyint()\n",
" IntWriteable11 = fake.pyint()\n",
" Text29 = \"\"\n",
" Text30 = str_exact_chars(24)\n",
" Text31 = \"\"\n",
"\n",
" data = ([Text01, Text02, Text03, Text04, Text05, Text06, IntWriteable01, Text07, Text08, Text09, Text10] + \n",
" [Text11, Text12, Text13, LongWritable01, LongWritable02, LongWritable03, LongWritable04, LongWritable05, LongWritable06] +\n",
" [Text14, Text15, IntWriteable02, Text16, Text17, Text18, Text19, Text20, IntWriteable03, IntWriteable04, Text21] +\n",
" [IntWriteable05, Text22, Text23, Text24, Text25, Text26, IntWriteable06, IntWriteable07, Text27, IntWriteable08] +\n",
" [Text28, IntWriteable09, IntWriteable10, IntWriteable11, Text29, Text30, Text31]\n",
" )\n",
"\n",
" return data\n",
"\n",
"def generate_fake_data(out_path, file_size=1024 * 1024 * 10):\n",
" size = 0\n",
" data_dicts = []\n",
"\n",
" while size < file_size:\n",
"\n",
" data = generate_record()\n",
" size = sum([len(str(x)) for x in data])\n",
" data_dicts.append(dict(zip(columns, data)))\n",
"\n",
" df = pd.DataFrame(data_dicts)\n",
" df.to_csv(out_path)\n",
" logging.info(f\"Generated: {out_path}\")\n",
"\n",
"def generate_files(out_path, n_files = 5, file_size=1024 * 1024 * 10):\n",
"\n",
" file_path = os.path.join(out_path, fake.pystr_format(string_format=\"??????????.csv\"))\n",
"\n",
" for _ in range(n_files):\n",
" generate_fake_data(file_path, file_size)\n"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [],
"source": [
"def gzip_file(file_path):\n",
"\n",
" base = os.path.splitext(file_path)[0]\n",
" dst_path = f\"{base}.gz\"\n",
"\n",
" with open(file_path, \"r\") as fd:\n",
" with gzip.open(dst_path, \"wb\") as gzfd:\n",
" shutil.copyfileobj(fd, gzfd)\n",
"\n",
" os.remove(file_path)\n",
" logging.info(f\"Compressed: {dst_path}\")"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['04:04:06 06:17:23:000',\n",
" '09:09:07 04:47:56:000',\n",
" '237503428635467',\n",
" 'VZS',\n",
" '93163749932',\n",
" '069-678-346-387-77',\n",
" '2',\n",
" '388-630-450-251-613450',\n",
" '68af:b5ce:3e7f:1565:3c6:dc2a:5417:2447',\n",
" 'ca82:f7ed:b38d:d4f2:cf1f:f172:a761:e223',\n",
" '',\n",
" '63446',\n",
" '44989',\n",
" '23',\n",
" '97680902',\n",
" '170586192',\n",
" '78100466769',\n",
" '4131020837',\n",
" '622047749685',\n",
" '229398760573',\n",
" 'hXPMiqVClQ',\n",
" 'vdFhRsuEnf',\n",
" 5676,\n",
" 'dmmGfDPnQTbW',\n",
" '986369',\n",
" '198.4.249.177',\n",
" 'cts',\n",
" 'Bpb_A_HH_mGq_YaYU_u',\n",
" 9605,\n",
" 3593,\n",
" '7gvq572Bwqv923pS',\n",
" 7436,\n",
" '11',\n",
" '',\n",
" '',\n",
" '29|862|65115|481|49|5723',\n",
" '80:9163731:799:7541',\n",
" 7914,\n",
" 4187,\n",
" '175c:6e04:cb52:875e:8ace:d0f4:69de:105a',\n",
" 5298,\n",
" 'ac79:96f:415d:a84:7b01:eb18:8541:fe01',\n",
" 4469,\n",
" 7440,\n",
" 3138,\n",
" '',\n",
" 'URWJjesgxDqJTeQweycMgcyq',\n",
" '']"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

100
README.md
Просмотреть файл

@ -1,64 +1,76 @@
---
page_type: sample
languages:
- csharp
products:
- dotnet
description: "Add 150 character max description"
urlFragment: "update-this-to-unique-url-stub"
---
# Asessing CPU vs FPGA Performance Using Spark
# Official Microsoft Sample
We benchmark performance of a simple query using [NYC Taxi Dataset](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page).
<!--
Guidelines on README format: https://review.docs.microsoft.com/help/onboard/admin/samples/concepts/readme-template?branch=master
![perf web app](docs/images/demo.png)
Guidance on onboarding samples to docs.microsoft.com/samples: https://review.docs.microsoft.com/help/onboard/admin/samples/process/onboarding?branch=master
## Downloading and Normalizing Data
Taxonomies for products and languages: https://review.docs.microsoft.com/new-hope/information-architecture/metadata/taxonomies?branch=master
-->
We use a subset of the Yellow Trip Data consisting of files with 18 columns. We further normalize the data in these files to conform to the schema published on the NYC Taxi Dataset site for [Yellow Taxi trips](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf).
Give a short description for your sample here. What does it do and why is it important?
To download the data locally:
## Contents
1. Clone this repo
1. Clone [nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) git repo
1. Edit `download_raw_data.sh` in the root of `nyc-taxi-data` repo replacing the default `setup_files/raw_data_urls.txt` with `<this_repo>/dataset/yellow_taxi_files.csv`
1. Run `./download_raw_data.sh` to download the dataset.
1. Normalize the downloaded dataset by going through the `Notebooks/Standardize Schema.ipynb` in this repo. The `clean_schema` function is what does normalization.
Outline the file contents of the repository. It helps users navigate the codebase, build configuration and any related assets.
Our dataset is 100 GB in size split into 82 files.
| File/folder | Description |
|-------------------|--------------------------------------------|
| `src` | Sample source code. |
| `.gitignore` | Define what to ignore at commit time. |
| `CHANGELOG.md` | List of changes to the sample. |
| `CONTRIBUTING.md` | Guidelines for contributing to the sample. |
| `README.md` | This README file. |
| `LICENSE` | The license for the sample. |
## Collecting Performance Data
## Prerequisites
We use local Spark configured with `local[*]` (default) and structured streaming to measure and aggregate performance on our dataset. Each streaming batch consists of a single CSV file. The profiled query is:
Outline the required components and tools that a user might need to have on their machine in order to run the sample. This can be anything from frameworks, SDKs, OS versions or IDE releases.
```sql
select payment_type, count(*) as total from nyctaxidata group by payment_type
```
## Setup
As configured above, all local CPU cores are utilized for the query.
Explain how to prepare the sample once the user clones or downloads the repository. The section should outline every step necessary to install dependencies and set up any settings (for example, API keys and output folders).
### CPU
## Running the sample
1. [Install Apache Spark](https://www.apache.org/dyn/closer.lua/spark/spark-2.4.5/spark-2.4.5-bin-hadoop2.7.tgz).
1. In `<repo_root>/benchmarking/queries/benchmark_taxi.scala`, modify the following values as appropriate:
Outline step-by-step instructions to execute the sample and see its output. Include steps for executing the sample from the IDE, starting specific services in the Azure portal or anything related to the overall launch of the code.
```scala
val rootPath = s"~/data/taxi_data_cleaned_18_standard" //root of the dataset
val magentaOutDir = s"~/data/queries_e8/$queryName/processed/results" // query results
val checkpointLoc = s"~/data/queries_e8/$queryName/checkpoint" // checkpoint files
val logDir = s"~/data/queries_e8/$queryName/monitor/results" // profiling results
```
3. Launch spark-shell with enough memory to stream the data:
## Key concepts
From the root of this repo:
Provide users with more context on the tools and services used in the sample. Explain some of the code that is being used and how services interact with each other.
```sh
$ cd benchmarking/queries
$ spark-shell --driver-memory 50G
```
## Contributing
4. Load the relevant file and launch Spark processing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
```scala
scala> :load benchmark_taxi.scala
scala> Benchmark.main(1)
```
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
Benchmarking results will be placed in the directories prefixed with `logDir`, so in the example above these will be:
```
~/data/queries_e8/q1/monitor/results_0
~/data/queries_e8/q1/monitor/results_1
~/data/queries_e8/q1/monitor/results_2
etc
```
5. Collect the results:
```sh
$ cat ~/data/queries_e8/q1/monitor/results_*/*.csv > taxi_q1_profile.csv
```
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
### FPGA
Provisioning an NP-10 machine in Azure and going through the above steps should yield the benchmarks for FPGA. For the demo we used a custom "one-off" implementation of this query to assess FPGA performance.
## Web UI
See this [README](demo/README.md) for instruction on how to visualize performance data in Web UI. Here is the [finished app](https://speeddemo.z5.web.core.windows.net/)

160
benchmarking/Mison/BenchmarkTaxi.cpp Normal file
Просмотреть файл

@ -0,0 +1,160 @@
// *********************************************************************
// Copyright (C) Microsoft. All rights reserved.
// *********************************************************************
#include <Windows.h>
#include <chrono>
#include <fstream>
#include <iostream>
#include <memory>
#include <string>
#include <vector>
#include <sstream>
#include "Mison/Config.h"
#include "Mison/CsvParser.h"
#include "Mison/CsvReader.h"
#include "Mison/CsvValue.h"
#include "Mison/Field.h"
#include "Mison/JsonParser.h"
#include "Mison/JsonReader.h"
#include "Mison/JsonValue.h"
#include "Mison/Nullable.h"
#include "Mison/Record.h"
#include "Mison/Records.h"
using namespace Mison;
/// <summary>
/// Extract three integer fields from TPC-H lineitem CSV file.
/// Expected parsing throughput: ~835MB/s (Intel Haswell 3.5GHz CPU).
/// </summary>
void CsvParserTpchBenchmark(std::string& path) {
std::cout << std::endl;
std::cout << "##### Csv Parser TPC-H lineitem parsing benchmark #####" << std::endl;
// Extract the first, second, and fifth (integer) fields.
Config config;
config.csv.field_delimiter = ',';
for (size_t i = 0; i < 18; i++) {
std::vector<std::string> fields;
for (size_t j = 0; j <= i; j++) {
std::stringstream ss;
ss << "$" << j;
fields.push_back(ss.str());
}
Mison::CsvParser parser(fields, config);
// Preload data into memory, to exclude I/O time.
std::unique_ptr<std::ifstream> file(new std::ifstream(path, std::ifstream::binary));
file->seekg(0, file->end);
size_t length = file->tellg();
char* buffer = new char[length];
file->seekg(0, file->beg);
// Start timer.
auto start = std::chrono::high_resolution_clock::now();
file->read(buffer, length);
CsvRecords records = parser.Parse(buffer, length, false);
size_t count = 0;
int v;
double d;
NullableString s;
for (const CsvRecord& record : records) {
for (const CsvValue& field_value : record) {
StringRef string;
switch (field_value.FieldId()) {
case 0:
field_value.GetAsString();
break;
case 1:
field_value.GetAsDateTime().Value();
break;
case 2:
field_value.GetAsDateTime().Value();
break;
case 3:
field_value.GetAsInt().Value();
break;
case 4:
field_value.GetAsDouble().Value();
break;
case 5:
field_value.GetAsDouble().Value();
break;
case 6:
field_value.GetAsString().Value();
break;
case 7:
field_value.GetAsString().Value();
break;
case 8:
field_value.GetAsString().Value();
break;
case 9:
field_value.GetAsString().Value();
break;
case 10:
field_value.GetAsDouble().Value();
break;
case 11:
field_value.GetAsRawText();
break;
case 12:
field_value.GetAsDouble().Value();
break;
case 13:
field_value.GetAsDouble().Value();
break;
case 14:
field_value.GetAsDouble().Value();
break;
case 15:
field_value.GetAsDouble().Value();
break;
case 16:
field_value.GetAsDouble().Value();
break;
case 17:
field_value.GetAsDouble().Value();
break;
}
}
count++;
}
// Stop timer.
auto end = std::chrono::high_resolution_clock::now();
size_t time = std::chrono::duration_cast<std::chrono::microseconds>(end - start).count();
std::cout << "========================== Cols: " << fields.size() << std::endl;
std::cout << "Parsed " << count << " records." << std::endl;
std::cout << "Parsing time: " << time / 1000.0 << " ms" << std::endl;
std::cout << "Pasrsing throughput: " << static_cast<double>(length) / time << " MB/s"
<< std::endl;
delete[] buffer;
}
}
int main(int argc, char** argv) {
SetThreadAffinityMask(GetCurrentThread(), 1);
std::vector<std::string> paths = {// R"(G:\taxi_data\yellow_tripdata_2019-12.csv)",
R"(G:\taxi_data\yellow_tripdata_2012-03.csv)"};
for (auto s : paths) {
CsvParserTpchBenchmark(s);
// CsvReaderTpchBenchmark();
}
return 0;
}

86
benchmarking/listener/querylistener.scala Normal file
Просмотреть файл

@ -0,0 +1,86 @@
import org.apache.spark.sql.Row
import org.apache.spark.sql.streaming.StreamingQueryListener
import org.apache.spark.sql.streaming.StreamingQueryListener._
import org.apache.spark.internal.Logging
import java.util.concurrent.locks.{Lock, ReentrantLock}
import spark.implicits._
case class Record(timestamp : String, numRows : Long, avgRowSize : Int,
inputRowsPerSec : Double, processedRowsPerSec : Double, inputDurationSec : Double, processedDurationSec : Double)
// this is how you use toDF
// 1. import spark.implicits._ from an existing spark session
// 2. define the Record case class containing the schema
// 3. Use in a separate object outside of the class definition
object ConvToDf {
def createDF(seqDF : List[Record]) = {
seqDF.toDF.na.fill(0)
}
}
class StreamMonitor(val fileName : String, val rowSize: Int, val capacity: Int = 1) extends StreamingQueryListener() with Logging {
private[this] val lock : Lock = new ReentrantLock()
private[this] var collectedRecs = List[Record]()
private[this] var queryDone = false
private[this] var batch = 0
override def onQueryProgress(queryProgress: QueryProgressEvent): Unit = {
val progress = queryProgress.progress
val nr = progress.numInputRows
// since we are streaming the query it's never done
// check what the next batch brings and terminate processing accordingly
if (nr == 0 || collectedRecs.length >= capacity) {
if (queryDone) return
try {
lock.lock()
if(!queryDone) {
queryDone = nr == 0
if (collectedRecs.length != 0) {
ConvToDf.createDF(collectedRecs.reverse)
.write
.option("header", "false")
.csv(s"${fileName}_$batch")
batch += 1
}
collectedRecs = List[Record]()
}
}
catch {
case e: Throwable => {
logError(s"$e")
if (!queryDone) return
}
}
finally {
lock.unlock()
if (queryDone) return
}
}
val ts = progress.timestamp
val inpRowsSec = progress.inputRowsPerSecond
val procRowsSec = progress.processedRowsPerSecond
val inpDurationSec = nr / inpRowsSec
val procDurationSec = nr / procRowsSec
try {
lock.lock()
collectedRecs = Record(ts, nr, rowSize, inpRowsSec, procRowsSec, inpDurationSec, procDurationSec) :: collectedRecs
}
catch {
case e: Throwable => logError(s"$e")
}
finally {
lock.unlock()
}
}
def onQueryStarted(event: QueryStartedEvent): Unit = ()
def onQueryTerminated(event: QueryTerminatedEvent): Unit = ()
}

44
benchmarking/queries/README.md Normal file
Просмотреть файл

@ -0,0 +1,44 @@
To run, do following
*Install AzureXRT stuff
cd AzureXRTPackages
sudo apt install ./*.deb
Reboot the machine.
run
source /opt/xilinx/xrt/setup.sh
xbutil validate
this should pass
* Install required tools using following commands
sudo apt-get install uuid-dev
sudo apt-get install libssl-dev
sudo apt-get install build-essential
sudo apt-get install gcc-8
sudo apt-get install g++-8
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 60 --slave /usr/bin/g++ g++ /usr/bin/g++-8
sudo apt install python
* Install cmake. Follow instructions from https://linux4one.com/how-to-install-cmake-on-ubuntu-18-04-linux/
* Setup environment variables (Add it in .bashrc file for convenience)
export WFDS_BUILD_ROOT=/home/boris/fpga_demo
export LD_LIBRARY_PATH=/home/boris/fpga_demo/cpp/external_libs/poco.1.9.2/lib
* Build boost and Poco
Go to cpp/external_libs/poco.1.9.2 and run the buildall.sh script.
Go to cpp/external_libs/boost and run the buildall.sh script.
* Go to build_output/global
cmake ../../
cd accel
make acceltesthw
* Run executable like
go to fpga_demo
cpp/build_output/bin/acceltesthw hw -file yellow_tripdata_2019-12.csv
Generates vstream_<csv-file> directory with VStream output
Use smaller csv file for now. Big ones have issues

68
benchmarking/queries/benchmark_magenta.scala Normal file
Просмотреть файл

@ -0,0 +1,68 @@
import org.apache.spark.sql.functions.{_ => F}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.streaming.Trigger
import org.apache.spark.sql.streaming.StreamingQuery
import org.apache.spark.sql.DataFrame
import org.apache.log4j._
import java.nio.file.Paths
import org.apache.spark.SparkConf
:load ../listener/querylistener.scala
:load schemas.scala
object BenchMagenta {
var cols = Array("")
def getSchema() = Schemas.getMagentaSchema
def loadData(filePath: String, queryName: String) = {
val taxi_orig_schema = getSchema()
val df = spark
.readStream
.schema(taxi_orig_schema)
.option("header", "false")
.option("maxFilesPerTrigger", 1)
.csv(filePath)
df.createOrReplaceTempView(queryName)
cols = df.columns
println(s"Created sql table from dataframe")
}
/** Our main function where the action happens */
def runFile(magentaOutDir : String, checkpointLoc: String, tableName: String) = {
spark.sql(s"select * from $tableName")
.writeStream
.format("parquet")
.outputMode("append")
.option("path", magentaOutDir)
.option("startingOffsets", "earliest")
.option("checkpointLocation", checkpointLoc)
.queryName("magenta_out")
.start()
}
def main() = {
val rootPath = "~/yellow/magenta/raw"
val magentaOutDir = "~/yellow/magenta/processed"
val checkpointLoc = "~/yellow/magenta/checkpoint"
val logDir = "~/yellow/magenta/monitor/stats"
println(s"spark.driver.memory: ${spark.conf.get("spark.driver.memory")}")
println(s"Running query")
spark.streams.addListener(new StreamMonitor(logDir, 520, 5))
// start stream-reading
loadData(rootPath, "magenta")
// start stsream-writing
runFile(magentaOutDir, checkpointLoc, "magenta")
}
}

83
benchmarking/queries/benchmark_taxi.scala Normal file
Просмотреть файл

@ -0,0 +1,83 @@
import org.apache.spark.sql.functions.{_ => F}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.DataFrame
import org.apache.log4j._
import java.nio.file.Paths
import org.apache.spark.SparkConf
import org.apache.spark.sql.streaming.Trigger
:load schemas.scala
:load ../listener/querylistener.scala
object Benchmark {
def getSchema() = Schemas.getTaxiSchema
def loadData(filePath: String, queryName: String) = {
val taxi_orig_schema = getSchema()
val df = spark
.readStream
.schema(taxi_orig_schema)
.option("header", "false")
.option("maxFilesPerTrigger", 1)
.csv(filePath)
df.createOrReplaceTempView(queryName)
println(s"Created sql table from dataframe")
}
/** Our main function where the action happens */
def runFile(outDir: String, checkpointLoc: String, queryStr: String, tableName: String) = {
spark.sql(queryStr)
.writeStream
.foreachBatch((df : DataFrame, epoch : Long) => {
df.write
.csv(s"${outDir}_$epoch")
})
.outputMode("complete")
.option("startingOffsets", "earliest")
.option("checkpointLocation", checkpointLoc)
.trigger(Trigger.ProcessingTime("1 second"))
.queryName("magenta_out")
.start()
}
def main(queryIdx: Int) = {
val tableName = "nyyellowtaxi"
val queryList = List(s"select count(*) as total from $tableName",
s"select payment_type, count(*) as total from $tableName group by payment_type",
s"select passenger_count, avg(total_amount) as avg_amount from $tableName group by passenger_count",
s"select passenger_count, year(tpep_pickup_datetime) year, count(*) total FROM $tableName group by passenger_count, year",
s"""select passenger_count, year(tpep_pickup_datetime) as year,
cast(trip_distance as int) as distance,
count(*) as total
from $tableName
group by passenger_count, year, distance
order by year, total desc
"""
)
val queryName = s"q$queryIdx"
val rootPath = s"~/data/taxi_data_cleaned_18_standard" //root of the dataset
val magentaOutDir = s"~/data/queries_e8/$queryName/processed/results" // query results
val checkpointLoc = s"~/data/queries_e8/$queryName/checkpoint" // checkpoint files
val logDir = s"~/data/queries_e8/$queryName/monitor/results" // profiling results
println(s"spark.driver.memory: ${spark.conf.get("spark.driver.memory")}")
println(s"Running query")
spark.streams.addListener(new StreamMonitor(logDir, 98, 5))
// start stream-reading
loadData(rootPath, tableName)
// start stsream-writing
runFile(magentaOutDir, checkpointLoc, queryList(queryIdx), tableName)
}
}

94
benchmarking/queries/benchmark_taxi_fpga.scala Normal file
Просмотреть файл

@ -0,0 +1,94 @@
import org.apache.spark.sql.functions.{_ => F}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.DataFrame
import org.apache.log4j._
import org.apache.spark.SparkConf
import org.apache.spark.sql.streaming.Trigger
import sys.process._
import java.io.File
import java.nio.file.{Files, Paths, StandardCopyOption}
import scala.io.Source
import org.apache.commons.io.FilenameUtils
object Benchmark {
def main(queryIdx: Int = 1, data_path: String = "~/data/taxi_data_cleaned_18_standard",
home_dir: String = "~/git/PipeDream/.image", out_path: String="~/data/fpga_queries",
start: Int=0, count: Int = 0, verbose: Boolean = false) = {
val taxi_files = new File(data_path).listFiles.drop(start)
val total = if (count > 0) count else taxi_files.length
println(s"total files: $total")
val taxi_idxs = start to (total - 1 + start)
val taxi_data_copy = s"${data_path}_copy"
println(s"total idxs: ${taxi_idxs.size}")
val out_dir_res = new File(s"${out_path}/q_${queryIdx}/results")
val times_dir = new File(s"${out_path}/q_${queryIdx}/monitor")
if(! out_dir_res.exists()) {
out_dir_res.mkdirs()
}
if(! times_dir.exists()) {
times_dir.mkdirs()
}
for(file_id <- taxi_idxs zip taxi_files) {
file_id match {
case (idx, taxi_file) => {
// fix the file
val lineSize = Source.fromFile(taxi_file).getLines.take(1).toList.head.split(',').size
val proc =
Process(s"${home_dir}/acceltesthw --file_name ${taxi_file} --query_mode=${queryIdx + 1} --accel_type=0 --num_cols=$lineSize",
new File(home_dir))
println(s"Starting. Cols $lineSize, name: $taxi_file")
if (verbose) proc.! else proc.!!
println(s"Completed")
val suffix = FilenameUtils.getBaseName(taxi_file.toString)
Files.move(
Paths.get(s"${home_dir}/fpga_time.csv"),
Paths.get(s"${times_dir.toString}/fpga_time_${suffix}.csv"),
StandardCopyOption.REPLACE_EXISTING
)
for {
files <- Option(new File(home_dir).listFiles())
file <- files if file.getName.endsWith(".log")
} file.delete()
// Files.move(
// Paths.get(s"${home_dir}/q1out.csv"),
// Paths.get(s"${out_dir_res.toString}/q0out_${suffix}.csv"),
// StandardCopyOption.REPLACE_EXISTING
// )
Files.move(
Paths.get(s"${home_dir}/q${queryIdx + 1}out.csv"),
Paths.get(s"${out_dir_res.toString}/q${queryIdx}out_${suffix}.csv"),
StandardCopyOption.REPLACE_EXISTING
)
// val file_name = new File(taxi_file.toString).getName
// Files.move(
// Paths.get(taxi_file.toString),
// Paths.get(s"${taxi_data_copy}/${file_name}"),
// StandardCopyOption.REPLACE_EXISTING
// )
}
}
}
}
}

66
benchmarking/queries/benchmark_taxi_select.scala Normal file
Просмотреть файл

@ -0,0 +1,66 @@
import org.apache.spark.sql.functions.{_ => F}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.DataFrame
import org.apache.log4j._
import java.nio.file.Paths
import org.apache.spark.SparkConf
:load schemas.scala
object Benchmark {
var cols = Array("")
def getSchema() = Schemas.getTaxiSchema
def time[R](block: => R): R = {
val t0 = System.nanoTime()
val result = block // call-by-name
val t1 = System.nanoTime()
println(f"Elapsed time: ${(t1 - t0) / 1e9}%1.3fs")
result
}
def loadTaxiData(fileName: String) = {
val taxi_orig_schema = getSchema()
val df = spark
.read
.schema(taxi_orig_schema)
.option("header", "false")
.csv(fileName)
df.createOrReplaceTempView("nyyellowtaxi")
cols = df.columns
println(s"Created sql table from dataframe")
}
/** Our main function where the action happens */
def runFile(file_name: String) = {
val schema_fields = cols
val total_cols = schema_fields.length
var i = 0
for(i <- 1 to total_cols) {
val names = schema_fields.slice(0, i).mkString(", ")
val query_txt = spark.sql(s"select $names from nyyellowtaxi")
println(s"cols ${i}:")
time {query_txt.collect()}
}
}
def main(rootPath: String = "~/yellow/taxi/taxi_data") = {
val files = List("yellow_tripdata_2012-03.csv", "yellow_tripdata_2019-12.csv")
println(s"spark.driver.memory: ${spark.conf.get("spark.driver.memory")}")
var f : String = ""
for (f <- files.map(Paths.get(rootPath, _).toString)) {
println(s"Running with $f")
loadTaxiData(f)
runFile(f)
}
}
}

20
benchmarking/queries/fix_data.py Normal file
Просмотреть файл

@ -0,0 +1,20 @@
import os
import glob
from multiprocessing import Pool, cpu_count
path_root = os.path.expanduser(r"~/data/taxi_data")
files = glob.glob(os.path.join(path_root, "*.csv"))
def fixFile(f):
print(f"Reading: {os.path.split(f)[1]}")
with open(f, "r") as fd:
lines = fd.readlines()
if len(lines[0].split(',')) < 18:
print(f"Will write: {os.path.split(f)[1]}")
with open(f, "w") as fd:
fd.writelines(lines[1:])
Pool(cpu_count()).map(fixFile, files)

82
benchmarking/queries/fpga_input_times.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
13.97956
13.093169
14.097414
15.846028
14.911613
14.005469
13.39619
13.455239
13.741334
15.320745
14.549938
14.609953
14.595407
14.979908
15.349394
14.608228
14.411513
12.299834
15.770246
13.928713
13.639649
13.964589
13.515153
0.984463
15.802848
1.002862
19.031792
1.021823
14.604164
13.236647
15.921361
15.627326
14.276602
14.624606
14.722508
14.773239
15.843256
15.191065
15.420166
15.035725
14.145152
14.213941
15.519243
14.478537
13.46988
14.247559
14.295364
13.556319
15.724502
14.577173
14.808015
14.066502
13.398903
12.168592
13.732333
1.024708
13.890993
13.546112
13.30142
12.761658
14.967752
14.205653
15.752544
13.605788
12.791365
12.320598
13.025826
13.799213
12.897513
12.576882
7.382327
6.735299
7.496559
7.114357
7.276366
6.652565
6.770595
5.955355
0.444866
7.558073
0.468676
7.305288
1 13.97956
2 13.093169
3 14.097414
4 15.846028
5 14.911613
6 14.005469
7 13.39619
8 13.455239
9 13.741334
10 15.320745
11 14.549938
12 14.609953
13 14.595407
14 14.979908
15 15.349394
16 14.608228
17 14.411513
18 12.299834
19 15.770246
20 13.928713
21 13.639649
22 13.964589
23 13.515153
24 0.984463
25 15.802848
26 1.002862
27 19.031792
28 1.021823
29 14.604164
30 13.236647
31 15.921361
32 15.627326
33 14.276602
34 14.624606
35 14.722508
36 14.773239
37 15.843256
38 15.191065
39 15.420166
40 15.035725
41 14.145152
42 14.213941
43 15.519243
44 14.478537
45 13.46988
46 14.247559
47 14.295364
48 13.556319
49 15.724502
50 14.577173
51 14.808015
52 14.066502
53 13.398903
54 12.168592
55 13.732333
56 1.024708
57 13.890993
58 13.546112
59 13.30142
60 12.761658
61 14.967752
62 14.205653
63 15.752544
64 13.605788
65 12.791365
66 12.320598
67 13.025826
68 13.799213
69 12.897513
70 12.576882
71 7.382327
72 6.735299
73 7.496559
74 7.114357
75 7.276366
76 6.652565
77 6.770595
78 5.955355
79 0.444866
80 7.558073
81 0.468676
82 7.305288

82
benchmarking/queries/fpga_proc_times_q1.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
0.947825
0.912538
0.980564
0.979225
0.995022
0.958112
0.949534
0.951962
1.063844
0.967885
1.009119
1.073668
1.00906
0.979072
0.840295
1.068371
0.964575
0.947867
0.948287
0.944065
1.00033
1.081844
1.005351
1.02761
1.012189
0.998865
0.920604
0.99245
1.080438
1.030567
1.028355
1.012393
1.101289
1.056697
1.045737
1.02883
0.978511
0.994138
0.995688
0.927906
0.975625
0.979342
0.955342
1.053516
0.851215
0.962986
1.006164
0.964013
0.955302
1.029765
0.875359
0.984822
0.997328
0.945503
0.904668
0.844486
0.911973
0.949751
0.880459
0.888663
0.51473
0.46568
0.535507
0.512967
0.520184
0.467202
0.42576
0.427634
0.434916
0.491674
0.482278
0.468268
0.918656
0.969311
1.005039
0.978991
0.960973
1.019734
1.015870
0.971850
0.921574
1.075810
1 0.947825
2 0.912538
3 0.980564
4 0.979225
5 0.995022
6 0.958112
7 0.949534
8 0.951962
9 1.063844
10 0.967885
11 1.009119
12 1.073668
13 1.00906
14 0.979072
15 0.840295
16 1.068371
17 0.964575
18 0.947867
19 0.948287
20 0.944065
21 1.00033
22 1.081844
23 1.005351
24 1.02761
25 1.012189
26 0.998865
27 0.920604
28 0.99245
29 1.080438
30 1.030567
31 1.028355
32 1.012393
33 1.101289
34 1.056697
35 1.045737
36 1.02883
37 0.978511
38 0.994138
39 0.995688
40 0.927906
41 0.975625
42 0.979342
43 0.955342
44 1.053516
45 0.851215
46 0.962986
47 1.006164
48 0.964013
49 0.955302
50 1.029765
51 0.875359
52 0.984822
53 0.997328
54 0.945503
55 0.904668
56 0.844486
57 0.911973
58 0.949751
59 0.880459
60 0.888663
61 0.51473
62 0.46568
63 0.535507
64 0.512967
65 0.520184
66 0.467202
67 0.42576
68 0.427634
69 0.434916
70 0.491674
71 0.482278
72 0.468268
73 0.918656
74 0.969311
75 1.005039
76 0.978991
77 0.960973
78 1.019734
79 1.015870
80 0.971850
81 0.921574
82 1.075810

82
benchmarking/queries/fpga_proc_times_q2.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
940475
893053
966555
977252
1009676
944347
903349
917968
1010628
1037121
948746
984671
990188
1054078
1033425
992200
971913
828716
57656680
970971
927944
970230
918666
995798
1073673
1031233
1040431
1019893
1022448
877899
992017
1045459
967618
999996
990385
997292
1084605
1042402
1032976
1026446
960292
964271
982060
994965
910716
970574
991765
940273
1073958
1005066
1012261
970688
918614
849510
958614
988098
964627
946995
926526
880872
1018292
978586
1017643
914257
868684
840789
881766
945202
873355
869790
510038
463499
531702
509655
497279
496703
46059508
22280323
23645268
52333855
24677348
50319654
1 940475
2 893053
3 966555
4 977252
5 1009676
6 944347
7 903349
8 917968
9 1010628
10 1037121
11 948746
12 984671
13 990188
14 1054078
15 1033425
16 992200
17 971913
18 828716
19 57656680
20 970971
21 927944
22 970230
23 918666
24 995798
25 1073673
26 1031233
27 1040431
28 1019893
29 1022448
30 877899
31 992017
32 1045459
33 967618
34 999996
35 990385
36 997292
37 1084605
38 1042402
39 1032976
40 1026446
41 960292
42 964271
43 982060
44 994965
45 910716
46 970574
47 991765
48 940273
49 1073958
50 1005066
51 1012261
52 970688
53 918614
54 849510
55 958614
56 988098
57 964627
58 946995
59 926526
60 880872
61 1018292
62 978586
63 1017643
64 914257
65 868684
66 840789
67 881766
68 945202
69 873355
70 869790
71 510038
72 463499
73 531702
74 509655
75 497279
76 496703
77 46059508
78 22280323
79 23645268
80 52333855
81 24677348
82 50319654

82
benchmarking/queries/fpga_proc_times_q3.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
59354080
55398376
58229390
58656620
61035949
58887203
35820233
55801987
57264781
83488417
58056335
39249339
60985527
41008864
64021800
60920472
60618628
51611609
72174898
57942850
56235630
59071567
56058763
59437963
67151400
60708282
64315256
64387971
60365695
34776418
60128128
64864423
38085689
59258581
61561927
61608793
66316890
62863393
41744434
40361009
58704546
37883628
65545393
59815354
56589525
60183791
59647102
57341955
40765435
38944168
39950603
37967729
37037386
51776137
36466504
61148758
59801669
56787193
56931899
33997980
41392988
59857394
57574703
57361239
33852335
51406059
54254661
58993313
54729486
53459283
31644699
28791572
19759028
18485513
31071754
17300642
47454626
28759663
31260343
53659689
32607724
51558698
1 59354080
2 55398376
3 58229390
4 58656620
5 61035949
6 58887203
7 35820233
8 55801987
9 57264781
10 83488417
11 58056335
12 39249339
13 60985527
14 41008864
15 64021800
16 60920472
17 60618628
18 51611609
19 72174898
20 57942850
21 56235630
22 59071567
23 56058763
24 59437963
25 67151400
26 60708282
27 64315256
28 64387971
29 60365695
30 34776418
31 60128128
32 64864423
33 38085689
34 59258581
35 61561927
36 61608793
37 66316890
38 62863393
39 41744434
40 40361009
41 58704546
42 37883628
43 65545393
44 59815354
45 56589525
46 60183791
47 59647102
48 57341955
49 40765435
50 38944168
51 39950603
52 37967729
53 37037386
54 51776137
55 36466504
56 61148758
57 59801669
58 56787193
59 56931899
60 33997980
61 41392988
62 59857394
63 57574703
64 57361239
65 33852335
66 51406059
67 54254661
68 58993313
69 54729486
70 53459283
71 31644699
72 28791572
73 19759028
74 18485513
75 31071754
76 17300642
77 47454626
78 28759663
79 31260343
80 53659689
81 32607724
82 51558698

82
benchmarking/queries/fpga_taxi_q1.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T02:45:07.525Z,14092413,98,1008072.7147349415,14868159.206604594,13.979560000000001,0.947825
2020-05-07T02:45:17.757Z,13380122,98,1021916.2373906577,14662536.792988347,13.093169,0.912538
2020-05-07T02:45:25.482Z,14387371,98,1020568.0985179268,14672546.616029143,14.097414,0.980564
2020-05-07T02:45:29.054Z,14294783,98,902105.1206018316,14598057.647629503,15.846028,0.979225
2020-05-07T02:45:35.481Z,14796312,98,992267.7043724243,14870336.535272587,14.911613000000001,0.995022
2020-05-07T02:45:42.740Z,14184248,98,1012764.9420379996,14804373.601416117,14.005469,0.9581120000000001
2020-05-07T02:45:49.755Z,13626103,98,1017162.5663714833,14350305.518285813,13.396189999999999,0.949534
2020-05-07T02:46:04.062Z,13686520,98,1017188.918011787,14377170.517310563,13.455239,0.9519620000000001
2020-05-07T02:46:11.376Z,13984887,98,1017724.1161593191,13145618.154541455,13.741334,1.063844
2020-05-07T02:46:18.646Z,15604551,98,1018524.2950000147,16122319.283799212,15.320745,0.967885
2020-05-07T02:50:57.535Z,14275339,98,981127.1360743942,14146338.538864097,14.549938000000001,1.009119
2020-05-07T02:51:05.500Z,14583404,98,998182.8141404699,13582787.230317006,14.609952999999999,1.073668
2020-05-07T02:51:12.307Z,14863778,98,1018387.3598043547,14730321.289120566,14.595407000000002,1.00906
2020-05-07T02:51:15.936Z,15144990,98,1011020.2278945907,15468719.358739706,14.979907999999998,0.9790719999999999
2020-05-07T02:51:23.444Z,15481351,98,1008596.8866262733,18423709.53058152,15.349394,0.8402950000000001
2020-05-07T02:51:31.342Z,14825128,98,1014847.7967348264,13876385.637573466,14.608228,1.068371
2020-05-07T02:51:38.659Z,14656519,98,1017000.7132491918,15194794.59865744,14.411513000000001,0.964575
2020-05-07T02:51:45.848Z,12528177,98,1018564.7220929974,13217230.898427732,12.299833999999999,0.947867
2020-05-07T02:51:53.831Z,15698454,98,995447.6296691885,16554538.868507106,15.770245999999998,0.9482870000000001
2020-05-07T02:52:00.962Z,14199628,98,1019450.1099993947,15040943.15539714,13.928713,0.9440649999999999
2020-05-07T02:52:04.960Z,13912333,98,1019992.0100583235,13907743.444663262,13.639648999999999,1.00033
2020-05-07T02:52:08.228Z,14183601,98,1015683.3831629416,13110578.789548216,13.964589000000002,1.081844
2020-05-07T02:52:15.634Z,13724125,98,1015462.0521129136,13651078.081187563,13.515153,1.005351
2020-05-07T02:52:22.751Z,14612198,98,14842810.75063258,14219594.982532281,0.9844629999999999,1.0276100000000001
2020-05-07T02:52:30.684Z,16066350,98,1016674.3361702902,15872875.520283267,15.802848000000001,1.012189
2020-05-07T02:52:38.249Z,14718972,98,14676966.521814564,14735697.016113289,1.0028620000000001,0.998865
2020-05-07T02:52:45.027Z,15554868,98,817309.6889667561,16896372.381610334,19.031792000000003,0.9206040000000001
2020-05-07T02:52:48.857Z,15097860,98,14775416.094568238,15212716.005844122,1.021823,0.99245
2020-05-07T02:52:55.937Z,14742561,98,1009476.5438131207,13644985.644710757,14.604164,1.080438
2020-05-07T02:53:02.841Z,13262441,98,1001948.680810178,12869072.073916592,13.236647,1.030567
2020-05-07T02:53:09.825Z,14626747,98,918686.976571915,14223441.321333587,15.921361,1.028355
2020-05-07T02:53:17.561Z,15707756,98,1005146.7538336373,15515472.746255653,15.627326,1.012393
2020-05-07T02:53:21.195Z,14525862,98,1017459.3366124517,13189872.95796108,14.276601999999999,1.101289
2020-05-07T02:53:27.818Z,14925983,98,1020607.5295293425,14125130.477326991,14.624606,1.056697
2020-05-07T02:53:35.324Z,14969131,98,1016751.4257760975,14314431.831330437,14.722508,1.0457370000000001
2020-05-07T02:53:41.919Z,14983521,98,1014233.9807810595,14563650.943304531,14.773239000000002,1.02883
2020-05-07T02:53:49.568Z,16146923,98,1019166.9565902363,16501524.25470945,15.843256,0.978511
2020-05-07T02:53:56.946Z,15477914,98,1018882.7445607006,15569180.536303813,15.191065,0.994138
2020-05-07T02:54:04.143Z,15567525,98,1009556.2525072687,15634942.873671273,15.420166,0.9956879999999999
2020-05-07T02:54:12.022Z,15096468,98,1004039.9116105144,16269393.667030929,15.035725,0.9279059999999999
2020-05-07T02:54:19.687Z,14379307,98,1016553.7280900199,14738559.38500961,14.145152,0.975625
2020-05-07T02:54:27.288Z,14381752,98,1011806.0853073753,14685117.150086487,14.213941,0.979342
2020-05-07T02:46:25.939Z,14546853,98,937342.9490085309,15226853.838730004,15.519243,0.955342
2020-05-07T02:46:33.477Z,14522315,98,1003023.6480384724,13784617.414448382,14.478537,1.053516
2020-05-07T02:46:40.998Z,13776030,98,1022728.4875589093,16183960.574003045,13.469879999999998,0.8512149999999999
2020-05-07T02:46:47.558Z,14696583,98,1031515.8547509789,15261471.090960823,14.247558999999999,0.962986
2020-05-07T02:46:55.724Z,14776615,98,1033664.830080577,14686089.94159998,14.295364000000001,1.0061639999999998
2020-05-07T02:47:02.490Z,13990176,98,1032004.0418051537,14512434.99828322,13.556319,0.9640129999999999
2020-05-07T02:47:10.375Z,15749228,98,1001572.4504343604,16486124.806605658,15.724502,0.9553020000000001
2020-05-07T02:47:16.786Z,15100468,98,1035898.2499555983,14663994.212271731,14.577173000000002,1.029765
2020-05-07T02:47:23.712Z,15285049,98,1032214.5810900381,17461463.239653673,14.808015,0.875359
2020-05-07T02:47:27.799Z,14385456,98,1022674.7204102342,14607163.528028416,14.066502,0.984822
2020-05-07T02:47:34.950Z,13823840,98,1031714.3127314228,13860876.26137038,13.398903,0.9973280000000001
2020-05-07T02:47:42.488Z,12597108,98,1035214.9205101132,13323181.417721571,12.168592,0.9455030000000001
2020-05-07T02:47:46.145Z,14107693,98,1027334.0298403775,15594331.843283944,13.732332999999999,0.904668
2020-05-07T02:47:53.560Z,15004555,98,14642761.645268701,17767677.61691727,1.024708,0.8444860000000001
2020-05-07T02:48:01.140Z,14388450,98,1035811.4787042222,15777276.300943121,13.890993,0.9119729999999999
2020-05-07T02:48:07.768Z,13971118,98,1031374.7590452523,14710295.645911401,13.546111999999999,0.949751
2020-05-07T02:48:15.195Z,13782492,98,1036166.9656322406,15653757.869474899,13.301420000000002,0.880459
2020-05-07T02:48:22.418Z,13063791,98,1023675.0585229599,14700500.639725072,12.761658,0.8886629999999999
2020-05-07T02:48:26.331Z,15428127,98,1030757.7918180366,29973242.282361627,14.967751999999999,0.51473
2020-05-07T02:48:33.426Z,14618759,98,1029080.394966708,31392284.401305616,14.205653,0.46568000000000004
2020-05-07T02:48:40.749Z,14774041,98,937882.8587941097,27588884.925873987,15.752544,0.535507
2020-05-07T02:48:48.612Z,13813029,98,1015231.8263374381,26927714.648310706,13.605788,0.5129670000000001
2020-05-07T02:48:56.043Z,13106365,98,1024625.9879223211,25195632.699198745,12.791364999999999,0.520184
2020-05-07T02:49:03.307Z,12688877,98,1029891.3250801625,27159295.122880463,12.320598,0.46720200000000006
2020-05-07T02:49:10.732Z,13374016,98,1026730.7424496535,31412100.714017283,13.025826,0.42576
2020-05-07T02:49:17.942Z,14232487,98,1031398.4572888323,33281935.01919866,13.799213,0.427634
2020-05-07T02:49:26.123Z,13218216,98,1024865.4915098748,30392572.35880032,12.897513,0.43491599999999997
2020-05-07T02:49:33.034Z,13014161,98,1034768.4744120203,26469085.20686471,12.576882000000001,0.491674
2020-05-07T02:49:40.349Z,7667792,98,1038668.7016167125,15899112.130348057,7.382327,0.482278
2020-05-07T02:49:44.253Z,7019375,98,1042177.1921335637,14990080.466741268,6.735299,0.468268
2020-05-07T02:49:48.217Z,7832545,98,1044818.6961511276,8526091.376968093,7.4965589999999995,0.9186559999999999
2020-05-07T02:49:54.664Z,7433139,98,1044808.2658770145,7668476.887191004,7.114357000000001,0.969311
2020-05-07T02:50:02.789Z,7565261,98,1039703.1979974619,7527330.78019858,7.276366,1.005039
2020-05-07T02:50:06.505Z,6941024,98,1043360.5684423979,7089977.333805929,6.652564999999999,0.978991
2020-05-07T02:50:13.912Z,6310417,98,932032.8567873281,6566695.422243914,6.770595,0.960973
2020-05-07T02:50:21.053Z,6073357,98,1019814.4359152393,5955824.75429867,5.955355,1.019734
2020-05-07T02:50:28.426Z,6567787,98,14763517.55360041,6465184.521641549,0.444866,1.01587
2020-05-07T02:50:35.988Z,7213889,98,954461.408351044,7422842.00236662,7.558072999999999,0.97185
2020-05-07T02:50:43.080Z,6878111,98,14675620.257918049,7463438.6386768725,0.46867600000000004,0.921574
2020-05-07T02:50:49.974Z,6896315,98,944016.8546400907,6410346.6225448735,7.305288000000001,1.07581
1 2020-05-07T02:45:07.525Z 14092413 98 1008072.7147349415 14868159.206604594 13.979560000000001 0.947825
2 2020-05-07T02:45:17.757Z 13380122 98 1021916.2373906577 14662536.792988347 13.093169 0.912538
3 2020-05-07T02:45:25.482Z 14387371 98 1020568.0985179268 14672546.616029143 14.097414 0.980564
4 2020-05-07T02:45:29.054Z 14294783 98 902105.1206018316 14598057.647629503 15.846028 0.979225
5 2020-05-07T02:45:35.481Z 14796312 98 992267.7043724243 14870336.535272587 14.911613000000001 0.995022
6 2020-05-07T02:45:42.740Z 14184248 98 1012764.9420379996 14804373.601416117 14.005469 0.9581120000000001
7 2020-05-07T02:45:49.755Z 13626103 98 1017162.5663714833 14350305.518285813 13.396189999999999 0.949534
8 2020-05-07T02:46:04.062Z 13686520 98 1017188.918011787 14377170.517310563 13.455239 0.9519620000000001
9 2020-05-07T02:46:11.376Z 13984887 98 1017724.1161593191 13145618.154541455 13.741334 1.063844
10 2020-05-07T02:46:18.646Z 15604551 98 1018524.2950000147 16122319.283799212 15.320745 0.967885
11 2020-05-07T02:50:57.535Z 14275339 98 981127.1360743942 14146338.538864097 14.549938000000001 1.009119
12 2020-05-07T02:51:05.500Z 14583404 98 998182.8141404699 13582787.230317006 14.609952999999999 1.073668
13 2020-05-07T02:51:12.307Z 14863778 98 1018387.3598043547 14730321.289120566 14.595407000000002 1.00906
14 2020-05-07T02:51:15.936Z 15144990 98 1011020.2278945907 15468719.358739706 14.979907999999998 0.9790719999999999
15 2020-05-07T02:51:23.444Z 15481351 98 1008596.8866262733 18423709.53058152 15.349394 0.8402950000000001
16 2020-05-07T02:51:31.342Z 14825128 98 1014847.7967348264 13876385.637573466 14.608228 1.068371
17 2020-05-07T02:51:38.659Z 14656519 98 1017000.7132491918 15194794.59865744 14.411513000000001 0.964575
18 2020-05-07T02:51:45.848Z 12528177 98 1018564.7220929974 13217230.898427732 12.299833999999999 0.947867
19 2020-05-07T02:51:53.831Z 15698454 98 995447.6296691885 16554538.868507106 15.770245999999998 0.9482870000000001
20 2020-05-07T02:52:00.962Z 14199628 98 1019450.1099993947 15040943.15539714 13.928713 0.9440649999999999
21 2020-05-07T02:52:04.960Z 13912333 98 1019992.0100583235 13907743.444663262 13.639648999999999 1.00033
22 2020-05-07T02:52:08.228Z 14183601 98 1015683.3831629416 13110578.789548216 13.964589000000002 1.081844
23 2020-05-07T02:52:15.634Z 13724125 98 1015462.0521129136 13651078.081187563 13.515153 1.005351
24 2020-05-07T02:52:22.751Z 14612198 98 14842810.75063258 14219594.982532281 0.9844629999999999 1.0276100000000001
25 2020-05-07T02:52:30.684Z 16066350 98 1016674.3361702902 15872875.520283267 15.802848000000001 1.012189
26 2020-05-07T02:52:38.249Z 14718972 98 14676966.521814564 14735697.016113289 1.0028620000000001 0.998865
27 2020-05-07T02:52:45.027Z 15554868 98 817309.6889667561 16896372.381610334 19.031792000000003 0.9206040000000001
28 2020-05-07T02:52:48.857Z 15097860 98 14775416.094568238 15212716.005844122 1.021823 0.99245
29 2020-05-07T02:52:55.937Z 14742561 98 1009476.5438131207 13644985.644710757 14.604164 1.080438
30 2020-05-07T02:53:02.841Z 13262441 98 1001948.680810178 12869072.073916592 13.236647 1.030567
31 2020-05-07T02:53:09.825Z 14626747 98 918686.976571915 14223441.321333587 15.921361 1.028355
32 2020-05-07T02:53:17.561Z 15707756 98 1005146.7538336373 15515472.746255653 15.627326 1.012393
33 2020-05-07T02:53:21.195Z 14525862 98 1017459.3366124517 13189872.95796108 14.276601999999999 1.101289
34 2020-05-07T02:53:27.818Z 14925983 98 1020607.5295293425 14125130.477326991 14.624606 1.056697
35 2020-05-07T02:53:35.324Z 14969131 98 1016751.4257760975 14314431.831330437 14.722508 1.0457370000000001
36 2020-05-07T02:53:41.919Z 14983521 98 1014233.9807810595 14563650.943304531 14.773239000000002 1.02883
37 2020-05-07T02:53:49.568Z 16146923 98 1019166.9565902363 16501524.25470945 15.843256 0.978511
38 2020-05-07T02:53:56.946Z 15477914 98 1018882.7445607006 15569180.536303813 15.191065 0.994138
39 2020-05-07T02:54:04.143Z 15567525 98 1009556.2525072687 15634942.873671273 15.420166 0.9956879999999999
40 2020-05-07T02:54:12.022Z 15096468 98 1004039.9116105144 16269393.667030929 15.035725 0.9279059999999999
41 2020-05-07T02:54:19.687Z 14379307 98 1016553.7280900199 14738559.38500961 14.145152 0.975625
42 2020-05-07T02:54:27.288Z 14381752 98 1011806.0853073753 14685117.150086487 14.213941 0.979342
43 2020-05-07T02:46:25.939Z 14546853 98 937342.9490085309 15226853.838730004 15.519243 0.955342
44 2020-05-07T02:46:33.477Z 14522315 98 1003023.6480384724 13784617.414448382 14.478537 1.053516
45 2020-05-07T02:46:40.998Z 13776030 98 1022728.4875589093 16183960.574003045 13.469879999999998 0.8512149999999999
46 2020-05-07T02:46:47.558Z 14696583 98 1031515.8547509789 15261471.090960823 14.247558999999999 0.962986
47 2020-05-07T02:46:55.724Z 14776615 98 1033664.830080577 14686089.94159998 14.295364000000001 1.0061639999999998
48 2020-05-07T02:47:02.490Z 13990176 98 1032004.0418051537 14512434.99828322 13.556319 0.9640129999999999
49 2020-05-07T02:47:10.375Z 15749228 98 1001572.4504343604 16486124.806605658 15.724502 0.9553020000000001
50 2020-05-07T02:47:16.786Z 15100468 98 1035898.2499555983 14663994.212271731 14.577173000000002 1.029765
51 2020-05-07T02:47:23.712Z 15285049 98 1032214.5810900381 17461463.239653673 14.808015 0.875359
52 2020-05-07T02:47:27.799Z 14385456 98 1022674.7204102342 14607163.528028416 14.066502 0.984822
53 2020-05-07T02:47:34.950Z 13823840 98 1031714.3127314228 13860876.26137038 13.398903 0.9973280000000001
54 2020-05-07T02:47:42.488Z 12597108 98 1035214.9205101132 13323181.417721571 12.168592 0.9455030000000001
55 2020-05-07T02:47:46.145Z 14107693 98 1027334.0298403775 15594331.843283944 13.732332999999999 0.904668
56 2020-05-07T02:47:53.560Z 15004555 98 14642761.645268701 17767677.61691727 1.024708 0.8444860000000001
57 2020-05-07T02:48:01.140Z 14388450 98 1035811.4787042222 15777276.300943121 13.890993 0.9119729999999999
58 2020-05-07T02:48:07.768Z 13971118 98 1031374.7590452523 14710295.645911401 13.546111999999999 0.949751
59 2020-05-07T02:48:15.195Z 13782492 98 1036166.9656322406 15653757.869474899 13.301420000000002 0.880459
60 2020-05-07T02:48:22.418Z 13063791 98 1023675.0585229599 14700500.639725072 12.761658 0.8886629999999999
61 2020-05-07T02:48:26.331Z 15428127 98 1030757.7918180366 29973242.282361627 14.967751999999999 0.51473
62 2020-05-07T02:48:33.426Z 14618759 98 1029080.394966708 31392284.401305616 14.205653 0.46568000000000004
63 2020-05-07T02:48:40.749Z 14774041 98 937882.8587941097 27588884.925873987 15.752544 0.535507
64 2020-05-07T02:48:48.612Z 13813029 98 1015231.8263374381 26927714.648310706 13.605788 0.5129670000000001
65 2020-05-07T02:48:56.043Z 13106365 98 1024625.9879223211 25195632.699198745 12.791364999999999 0.520184
66 2020-05-07T02:49:03.307Z 12688877 98 1029891.3250801625 27159295.122880463 12.320598 0.46720200000000006
67 2020-05-07T02:49:10.732Z 13374016 98 1026730.7424496535 31412100.714017283 13.025826 0.42576
68 2020-05-07T02:49:17.942Z 14232487 98 1031398.4572888323 33281935.01919866 13.799213 0.427634
69 2020-05-07T02:49:26.123Z 13218216 98 1024865.4915098748 30392572.35880032 12.897513 0.43491599999999997
70 2020-05-07T02:49:33.034Z 13014161 98 1034768.4744120203 26469085.20686471 12.576882000000001 0.491674
71 2020-05-07T02:49:40.349Z 7667792 98 1038668.7016167125 15899112.130348057 7.382327 0.482278
72 2020-05-07T02:49:44.253Z 7019375 98 1042177.1921335637 14990080.466741268 6.735299 0.468268
73 2020-05-07T02:49:48.217Z 7832545 98 1044818.6961511276 8526091.376968093 7.4965589999999995 0.9186559999999999
74 2020-05-07T02:49:54.664Z 7433139 98 1044808.2658770145 7668476.887191004 7.114357000000001 0.969311
75 2020-05-07T02:50:02.789Z 7565261 98 1039703.1979974619 7527330.78019858 7.276366 1.005039
76 2020-05-07T02:50:06.505Z 6941024 98 1043360.5684423979 7089977.333805929 6.652564999999999 0.978991
77 2020-05-07T02:50:13.912Z 6310417 98 932032.8567873281 6566695.422243914 6.770595 0.960973
78 2020-05-07T02:50:21.053Z 6073357 98 1019814.4359152393 5955824.75429867 5.955355 1.019734
79 2020-05-07T02:50:28.426Z 6567787 98 14763517.55360041 6465184.521641549 0.444866 1.01587
80 2020-05-07T02:50:35.988Z 7213889 98 954461.408351044 7422842.00236662 7.558072999999999 0.97185
81 2020-05-07T02:50:43.080Z 6878111 98 14675620.257918049 7463438.6386768725 0.46867600000000004 0.921574
82 2020-05-07T02:50:49.974Z 6896315 98 944016.8546400907 6410346.6225448735 7.305288000000001 1.07581

82
benchmarking/queries/fpga_taxi_q2.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T02:45:07.525Z,14092413,98,1008072.7147349415,14984356.840958027,13.979560000000001,0.940475
2020-05-07T02:45:17.757Z,13380122,98,1021916.2373906577,14982450.089748314,13.093169,0.893053
2020-05-07T02:45:25.482Z,14387371,98,1020568.0985179268,14885206.739399206,14.097414,0.966555
2020-05-07T02:45:29.054Z,14294783,98,902105.1206018316,14627530.053660672,15.846028,0.977252
2020-05-07T02:45:35.481Z,14796312,98,992267.7043724243,14654514.913695086,14.911613000000001,1.009676
2020-05-07T02:45:42.740Z,14184248,98,1012764.9420379996,15020165.257050639,14.005469,0.944347
2020-05-07T02:45:49.755Z,13626103,98,1017162.5663714833,15083985.259296242,13.396189999999999,0.903349
2020-05-07T02:46:04.062Z,13686520,98,1017188.918011787,14909582.904850714,13.455239,0.917968
2020-05-07T02:46:11.376Z,13984887,98,1017724.1161593191,13837818.66324701,13.741334,1.010628
2020-05-07T02:46:18.646Z,15604551,98,1018524.2950000147,15046027.41628026,15.320745,1.037121
2020-05-07T02:50:57.535Z,14275339,98,981127.1360743942,15046534.056533571,14.549938000000001,0.948746
2020-05-07T02:51:05.500Z,14583404,98,998182.8141404699,14810433.129441205,14.609952999999999,0.984671
2020-05-07T02:51:12.307Z,14863778,98,1018387.3598043547,15011066.58533531,14.595407000000002,0.990188
2020-05-07T02:51:15.936Z,15144990,98,1011020.2278945907,14367997.434724944,14.979907999999998,1.054078
2020-05-07T02:51:23.444Z,15481351,98,1008596.8866262733,14980623.654353242,15.349394,1.033425
2020-05-07T02:51:31.342Z,14825128,98,1014847.7967348264,14941673.04978835,14.608228,0.9922
2020-05-07T02:51:38.659Z,14656519,98,1017000.7132491918,15080073.01065013,14.411513000000001,0.971913
2020-05-07T02:51:45.848Z,12528177,98,1018564.7220929974,15117575.864349186,12.299833999999999,0.828716
2020-05-07T02:51:53.831Z,15698454,98,995447.6296691885,272274.67832001427,15.770245999999998,57.65668
2020-05-07T02:52:00.962Z,14199628,98,1019450.1099993947,14624152.523607811,13.928713,0.970971
2020-05-07T02:52:04.960Z,13912333,98,1019992.0100583235,14992642.875001078,13.639648999999999,0.927944
2020-05-07T02:52:08.228Z,14183601,98,1015683.3831629416,14618802.7581089,13.964589000000002,0.97023
2020-05-07T02:52:15.634Z,13724125,98,1015462.0521129136,14939188.997960085,13.515153,0.918666
2020-05-07T02:52:22.751Z,14612198,98,14842810.75063258,14673857.549422674,0.9844629999999999,0.995798
2020-05-07T02:52:30.684Z,16066350,98,1016674.3361702902,14963913.593803698,15.802848000000001,1.073673
2020-05-07T02:52:38.249Z,14718972,98,14676966.521814564,14273177.836628579,1.0028620000000001,1.031233
2020-05-07T02:52:45.027Z,15554868,98,817309.6889667561,14950408.052047659,19.031792000000003,1.040431
2020-05-07T02:52:48.857Z,15097860,98,14775416.094568238,14803376.432625776,1.021823,1.019893
2020-05-07T02:52:55.937Z,14742561,98,1009476.5438131207,14418885.850429557,14.604164,1.022448
2020-05-07T02:53:02.841Z,13262441,98,1001948.680810178,15107023.70090409,13.236647,0.877899
2020-05-07T02:53:09.825Z,14626747,98,918686.976571915,14744451.959996652,15.921361,0.992017
2020-05-07T02:53:17.561Z,15707756,98,1005146.7538336373,15024746.068473274,15.627326,1.045459
2020-05-07T02:53:21.195Z,14525862,98,1017459.3366124517,15011979.934230244,14.276601999999999,0.967618
2020-05-07T02:53:27.818Z,14925983,98,1020607.5295293425,14926042.704170818,14.624606,0.999996
2020-05-07T02:53:35.324Z,14969131,98,1016751.4257760975,15114456.499240195,14.722508,0.990385
2020-05-07T02:53:41.919Z,14983521,98,1014233.9807810595,15024206.551341033,14.773239000000002,0.997292
2020-05-07T02:53:49.568Z,16146923,98,1019166.9565902363,14887376.510342475,15.843256,1.084605
2020-05-07T02:53:56.946Z,15477914,98,1018882.7445607006,14848315.716969077,15.191065,1.042402
2020-05-07T02:54:04.143Z,15567525,98,1009556.2525072687,15070558.270472888,15.420166,1.032976
2020-05-07T02:54:12.022Z,15096468,98,1004039.9116105144,14707513.108336922,15.035725,1.026446
2020-05-07T02:54:19.687Z,14379307,98,1016553.7280900199,14973890.233387344,14.145152,0.960292
2020-05-07T02:54:27.288Z,14381752,98,1011806.0853073753,14914637.067795256,14.213941,0.964271
2020-05-07T02:46:25.939Z,14546853,98,937342.9490085309,14812590.880394273,15.519243,0.98206
2020-05-07T02:46:33.477Z,14522315,98,1003023.6480384724,14595804.877558507,14.478537,0.994965
2020-05-07T02:46:40.998Z,13776030,98,1022728.4875589093,15126592.702884324,13.469879999999998,0.910716
2020-05-07T02:46:47.558Z,14696583,98,1031515.8547509789,15142156.084955912,14.247558999999999,0.970574
2020-05-07T02:46:55.724Z,14776615,98,1033664.830080577,14899310.824640919,14.295364000000001,0.991765
2020-05-07T02:47:02.490Z,13990176,98,1032004.0418051537,14878844.761042804,13.556319,0.940273
2020-05-07T02:47:10.375Z,15749228,98,1001572.4504343604,14664659.139370441,15.724502,1.073958
2020-05-07T02:47:16.786Z,15100468,98,1035898.2499555983,15024354.619497625,14.577173000000002,1.005066
2020-05-07T02:47:23.712Z,15285049,98,1032214.5810900381,15099909.015560215,14.808015,1.012261
2020-05-07T02:47:27.799Z,14385456,98,1022674.7204102342,14819855.607569065,14.066502,0.970688
2020-05-07T02:47:34.950Z,13823840,98,1031714.3127314228,15048584.062511565,13.398903,0.918614
2020-05-07T02:47:42.488Z,12597108,98,1035214.9205101132,14828675.354027616,12.168592,0.84951
2020-05-07T02:47:46.145Z,14107693,98,1027334.0298403775,14716760.86516575,13.732332999999999,0.958614
2020-05-07T02:47:53.560Z,15004555,98,14642761.645268701,15185290.325453548,1.024708,0.988098
2020-05-07T02:48:01.140Z,14388450,98,1035811.4787042222,14916076.369415328,13.890993,0.964627
2020-05-07T02:48:07.768Z,13971118,98,1031374.7590452523,14753106.404996859,13.546111999999999,0.946995
2020-05-07T02:48:15.195Z,13782492,98,1036166.9656322406,14875450.877795119,13.301420000000002,0.926526
2020-05-07T02:48:22.418Z,13063791,98,1023675.0585229599,14830521.347028853,12.761658,0.880872
2020-05-07T02:48:26.331Z,15428127,98,1030757.7918180366,15150985.179103833,14.967751999999999,1.018292
2020-05-07T02:48:33.426Z,14618759,98,1029080.394966708,14938655.36600769,14.205653,0.978586
2020-05-07T02:48:40.749Z,14774041,98,937882.8587941097,14517901.660995062,15.752544,1.017643
2020-05-07T02:48:48.612Z,13813029,98,1015231.8263374381,15108474.969292004,13.605788,0.914257
2020-05-07T02:48:56.043Z,13106365,98,1024625.9879223211,15087609.53350125,12.791364999999999,0.868684
2020-05-07T02:49:03.307Z,12688877,98,1029891.3250801625,15091630.599353703,12.320598,0.840789
2020-05-07T02:49:10.732Z,13374016,98,1026730.7424496535,15167307.426233264,13.025826,0.881766
2020-05-07T02:49:17.942Z,14232487,98,1031398.4572888323,15057614.139623065,13.799213,0.945202
2020-05-07T02:49:26.123Z,13218216,98,1024865.4915098748,15134986.345758598,12.897513,0.873355
2020-05-07T02:49:33.034Z,13014161,98,1034768.4744120203,14962417.36511112,12.576882000000001,0.86979
2020-05-07T02:49:40.349Z,7667792,98,1038668.7016167125,15033766.11154463,7.382327,0.510038
2020-05-07T02:49:44.253Z,7019375,98,1042177.1921335637,15144315.30596614,6.735299,0.463499
2020-05-07T02:49:48.217Z,7832545,98,1044818.6961511276,14731080.56768641,7.4965589999999995,0.531702
2020-05-07T02:49:54.664Z,7433139,98,1044808.2658770145,14584648.438649675,7.114357000000001,0.509655
2020-05-07T02:50:02.789Z,7565261,98,1039703.1979974619,15213312.848521654,7.276366,0.497279
2020-05-07T02:50:06.505Z,6941024,98,1043360.5684423979,13974193.834142335,6.652564999999999,0.496703
2020-05-07T02:50:13.912Z,6310417,98,932032.8567873281,137005.74048685018,6.770595,46.059508
2020-05-07T02:50:21.053Z,6073357,98,1019814.4359152393,272588.3731577859,5.955355,22.280323
2020-05-07T02:50:28.426Z,6567787,98,14763517.55360041,277763.27170408895,0.444866,23.645268
2020-05-07T02:50:35.988Z,7213889,98,954461.408351044,137843.63869239137,7.558072999999999,52.333855
2020-05-07T02:50:43.080Z,6878111,98,14675620.257918049,278721.6438330407,0.46867600000000004,24.677348
2020-05-07T02:50:49.974Z,6896315,98,944016.8546400907,137050.12757043203,7.305288000000001,50.319654
1 2020-05-07T02:45:07.525Z 14092413 98 1008072.7147349415 14984356.840958027 13.979560000000001 0.940475
2 2020-05-07T02:45:17.757Z 13380122 98 1021916.2373906577 14982450.089748314 13.093169 0.893053
3 2020-05-07T02:45:25.482Z 14387371 98 1020568.0985179268 14885206.739399206 14.097414 0.966555
4 2020-05-07T02:45:29.054Z 14294783 98 902105.1206018316 14627530.053660672 15.846028 0.977252
5 2020-05-07T02:45:35.481Z 14796312 98 992267.7043724243 14654514.913695086 14.911613000000001 1.009676
6 2020-05-07T02:45:42.740Z 14184248 98 1012764.9420379996 15020165.257050639 14.005469 0.944347
7 2020-05-07T02:45:49.755Z 13626103 98 1017162.5663714833 15083985.259296242 13.396189999999999 0.903349
8 2020-05-07T02:46:04.062Z 13686520 98 1017188.918011787 14909582.904850714 13.455239 0.917968
9 2020-05-07T02:46:11.376Z 13984887 98 1017724.1161593191 13837818.66324701 13.741334 1.010628
10 2020-05-07T02:46:18.646Z 15604551 98 1018524.2950000147 15046027.41628026 15.320745 1.037121
11 2020-05-07T02:50:57.535Z 14275339 98 981127.1360743942 15046534.056533571 14.549938000000001 0.948746
12 2020-05-07T02:51:05.500Z 14583404 98 998182.8141404699 14810433.129441205 14.609952999999999 0.984671
13 2020-05-07T02:51:12.307Z 14863778 98 1018387.3598043547 15011066.58533531 14.595407000000002 0.990188
14 2020-05-07T02:51:15.936Z 15144990 98 1011020.2278945907 14367997.434724944 14.979907999999998 1.054078
15 2020-05-07T02:51:23.444Z 15481351 98 1008596.8866262733 14980623.654353242 15.349394 1.033425
16 2020-05-07T02:51:31.342Z 14825128 98 1014847.7967348264 14941673.04978835 14.608228 0.9922
17 2020-05-07T02:51:38.659Z 14656519 98 1017000.7132491918 15080073.01065013 14.411513000000001 0.971913
18 2020-05-07T02:51:45.848Z 12528177 98 1018564.7220929974 15117575.864349186 12.299833999999999 0.828716
19 2020-05-07T02:51:53.831Z 15698454 98 995447.6296691885 272274.67832001427 15.770245999999998 57.65668
20 2020-05-07T02:52:00.962Z 14199628 98 1019450.1099993947 14624152.523607811 13.928713 0.970971
21 2020-05-07T02:52:04.960Z 13912333 98 1019992.0100583235 14992642.875001078 13.639648999999999 0.927944
22 2020-05-07T02:52:08.228Z 14183601 98 1015683.3831629416 14618802.7581089 13.964589000000002 0.97023
23 2020-05-07T02:52:15.634Z 13724125 98 1015462.0521129136 14939188.997960085 13.515153 0.918666
24 2020-05-07T02:52:22.751Z 14612198 98 14842810.75063258 14673857.549422674 0.9844629999999999 0.995798
25 2020-05-07T02:52:30.684Z 16066350 98 1016674.3361702902 14963913.593803698 15.802848000000001 1.073673
26 2020-05-07T02:52:38.249Z 14718972 98 14676966.521814564 14273177.836628579 1.0028620000000001 1.031233
27 2020-05-07T02:52:45.027Z 15554868 98 817309.6889667561 14950408.052047659 19.031792000000003 1.040431
28 2020-05-07T02:52:48.857Z 15097860 98 14775416.094568238 14803376.432625776 1.021823 1.019893
29 2020-05-07T02:52:55.937Z 14742561 98 1009476.5438131207 14418885.850429557 14.604164 1.022448
30 2020-05-07T02:53:02.841Z 13262441 98 1001948.680810178 15107023.70090409 13.236647 0.877899
31 2020-05-07T02:53:09.825Z 14626747 98 918686.976571915 14744451.959996652 15.921361 0.992017
32 2020-05-07T02:53:17.561Z 15707756 98 1005146.7538336373 15024746.068473274 15.627326 1.045459
33 2020-05-07T02:53:21.195Z 14525862 98 1017459.3366124517 15011979.934230244 14.276601999999999 0.967618
34 2020-05-07T02:53:27.818Z 14925983 98 1020607.5295293425 14926042.704170818 14.624606 0.999996
35 2020-05-07T02:53:35.324Z 14969131 98 1016751.4257760975 15114456.499240195 14.722508 0.990385
36 2020-05-07T02:53:41.919Z 14983521 98 1014233.9807810595 15024206.551341033 14.773239000000002 0.997292
37 2020-05-07T02:53:49.568Z 16146923 98 1019166.9565902363 14887376.510342475 15.843256 1.084605
38 2020-05-07T02:53:56.946Z 15477914 98 1018882.7445607006 14848315.716969077 15.191065 1.042402
39 2020-05-07T02:54:04.143Z 15567525 98 1009556.2525072687 15070558.270472888 15.420166 1.032976
40 2020-05-07T02:54:12.022Z 15096468 98 1004039.9116105144 14707513.108336922 15.035725 1.026446
41 2020-05-07T02:54:19.687Z 14379307 98 1016553.7280900199 14973890.233387344 14.145152 0.960292
42 2020-05-07T02:54:27.288Z 14381752 98 1011806.0853073753 14914637.067795256 14.213941 0.964271
43 2020-05-07T02:46:25.939Z 14546853 98 937342.9490085309 14812590.880394273 15.519243 0.98206
44 2020-05-07T02:46:33.477Z 14522315 98 1003023.6480384724 14595804.877558507 14.478537 0.994965
45 2020-05-07T02:46:40.998Z 13776030 98 1022728.4875589093 15126592.702884324 13.469879999999998 0.910716
46 2020-05-07T02:46:47.558Z 14696583 98 1031515.8547509789 15142156.084955912 14.247558999999999 0.970574
47 2020-05-07T02:46:55.724Z 14776615 98 1033664.830080577 14899310.824640919 14.295364000000001 0.991765
48 2020-05-07T02:47:02.490Z 13990176 98 1032004.0418051537 14878844.761042804 13.556319 0.940273
49 2020-05-07T02:47:10.375Z 15749228 98 1001572.4504343604 14664659.139370441 15.724502 1.073958
50 2020-05-07T02:47:16.786Z 15100468 98 1035898.2499555983 15024354.619497625 14.577173000000002 1.005066
51 2020-05-07T02:47:23.712Z 15285049 98 1032214.5810900381 15099909.015560215 14.808015 1.012261
52 2020-05-07T02:47:27.799Z 14385456 98 1022674.7204102342 14819855.607569065 14.066502 0.970688
53 2020-05-07T02:47:34.950Z 13823840 98 1031714.3127314228 15048584.062511565 13.398903 0.918614
54 2020-05-07T02:47:42.488Z 12597108 98 1035214.9205101132 14828675.354027616 12.168592 0.84951
55 2020-05-07T02:47:46.145Z 14107693 98 1027334.0298403775 14716760.86516575 13.732332999999999 0.958614
56 2020-05-07T02:47:53.560Z 15004555 98 14642761.645268701 15185290.325453548 1.024708 0.988098
57 2020-05-07T02:48:01.140Z 14388450 98 1035811.4787042222 14916076.369415328 13.890993 0.964627
58 2020-05-07T02:48:07.768Z 13971118 98 1031374.7590452523 14753106.404996859 13.546111999999999 0.946995
59 2020-05-07T02:48:15.195Z 13782492 98 1036166.9656322406 14875450.877795119 13.301420000000002 0.926526
60 2020-05-07T02:48:22.418Z 13063791 98 1023675.0585229599 14830521.347028853 12.761658 0.880872
61 2020-05-07T02:48:26.331Z 15428127 98 1030757.7918180366 15150985.179103833 14.967751999999999 1.018292
62 2020-05-07T02:48:33.426Z 14618759 98 1029080.394966708 14938655.36600769 14.205653 0.978586
63 2020-05-07T02:48:40.749Z 14774041 98 937882.8587941097 14517901.660995062 15.752544 1.017643
64 2020-05-07T02:48:48.612Z 13813029 98 1015231.8263374381 15108474.969292004 13.605788 0.914257
65 2020-05-07T02:48:56.043Z 13106365 98 1024625.9879223211 15087609.53350125 12.791364999999999 0.868684
66 2020-05-07T02:49:03.307Z 12688877 98 1029891.3250801625 15091630.599353703 12.320598 0.840789
67 2020-05-07T02:49:10.732Z 13374016 98 1026730.7424496535 15167307.426233264 13.025826 0.881766
68 2020-05-07T02:49:17.942Z 14232487 98 1031398.4572888323 15057614.139623065 13.799213 0.945202
69 2020-05-07T02:49:26.123Z 13218216 98 1024865.4915098748 15134986.345758598 12.897513 0.873355
70 2020-05-07T02:49:33.034Z 13014161 98 1034768.4744120203 14962417.36511112 12.576882000000001 0.86979
71 2020-05-07T02:49:40.349Z 7667792 98 1038668.7016167125 15033766.11154463 7.382327 0.510038
72 2020-05-07T02:49:44.253Z 7019375 98 1042177.1921335637 15144315.30596614 6.735299 0.463499
73 2020-05-07T02:49:48.217Z 7832545 98 1044818.6961511276 14731080.56768641 7.4965589999999995 0.531702
74 2020-05-07T02:49:54.664Z 7433139 98 1044808.2658770145 14584648.438649675 7.114357000000001 0.509655
75 2020-05-07T02:50:02.789Z 7565261 98 1039703.1979974619 15213312.848521654 7.276366 0.497279
76 2020-05-07T02:50:06.505Z 6941024 98 1043360.5684423979 13974193.834142335 6.652564999999999 0.496703
77 2020-05-07T02:50:13.912Z 6310417 98 932032.8567873281 137005.74048685018 6.770595 46.059508
78 2020-05-07T02:50:21.053Z 6073357 98 1019814.4359152393 272588.3731577859 5.955355 22.280323
79 2020-05-07T02:50:28.426Z 6567787 98 14763517.55360041 277763.27170408895 0.444866 23.645268
80 2020-05-07T02:50:35.988Z 7213889 98 954461.408351044 137843.63869239137 7.558072999999999 52.333855
81 2020-05-07T02:50:43.080Z 6878111 98 14675620.257918049 278721.6438330407 0.46867600000000004 24.677348
82 2020-05-07T02:50:49.974Z 6896315 98 944016.8546400907 137050.12757043203 7.305288000000001 50.319654

82
benchmarking/queries/fpga_taxi_q3.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T02:45:07.525Z,14092413,98,1008072.7147349415,237429.55833870222,13.979560000000001,59.35408
2020-05-07T02:45:17.757Z,13380122,98,1021916.2373906577,241525.52775193265,13.093169,55.398376
2020-05-07T02:45:25.482Z,14387371,98,1020568.0985179268,247080.9156681875,14.097414,58.22939
2020-05-07T02:45:29.054Z,14294783,98,902105.1206018316,243702.80796950115,15.846028,58.65662
2020-05-07T02:45:35.481Z,14796312,98,992267.7043724243,242419.62716103587,14.911613000000001,61.035949
2020-05-07T02:45:42.740Z,14184248,98,1012764.9420379996,240871.4844208172,14.005469,58.887203
2020-05-07T02:45:49.755Z,13626103,98,1017162.5663714833,380402.4111177613,13.396189999999999,35.820233
2020-05-07T02:46:04.062Z,13686520,98,1017188.918011787,245269.40232432942,13.455239,55.801987
2020-05-07T02:46:11.376Z,13984887,98,1017724.1161593191,244214.45006486622,13.741334,57.264781
2020-05-07T02:46:18.646Z,15604551,98,1018524.2950000147,186906.77773900062,15.320745,83.488417
2020-05-07T02:50:57.535Z,14275339,98,981127.1360743942,245887.7054502321,14.549938000000001,58.056335
2020-05-07T02:51:05.500Z,14583404,98,998182.8141404699,371557.951587414,14.609952999999999,39.249339
2020-05-07T02:51:12.307Z,14863778,98,1018387.3598043547,243726.31886906546,14.595407000000002,60.985527
2020-05-07T02:51:15.936Z,15144990,98,1011020.2278945907,369310.1569455813,14.979907999999998,41.008864
2020-05-07T02:51:23.444Z,15481351,98,1008596.8866262733,241813.74156927798,15.349394,64.0218
2020-05-07T02:51:31.342Z,14825128,98,1014847.7967348264,243352.15262284904,14.608228,60.920472
2020-05-07T02:51:38.659Z,14656519,98,1017000.7132491918,241782.42701236985,14.411513000000001,60.618628
2020-05-07T02:51:45.848Z,12528177,98,1018564.7220929974,242739.51622008142,12.299833999999999,51.611609
2020-05-07T02:51:53.831Z,15698454,98,995447.6296691885,217505.73170190002,15.770245999999998,72.174898
2020-05-07T02:52:00.962Z,14199628,98,1019450.1099993947,245062.64362212076,13.928713,57.94285
2020-05-07T02:52:04.960Z,13912333,98,1019992.0100583235,247393.56525391465,13.639648999999999,56.23563
2020-05-07T02:52:08.228Z,14183601,98,1015683.3831629416,240108.7650171867,13.964589000000002,59.071567
2020-05-07T02:52:15.634Z,13724125,98,1015462.0521129136,244816.76486511127,13.515153,56.058763
2020-05-07T02:52:22.751Z,14612198,98,14842810.75063258,245839.4814102226,0.9844629999999999,59.437963
2020-05-07T02:52:30.684Z,16066350,98,1016674.3361702902,239255.62236974956,15.802848000000001,67.1514
2020-05-07T02:52:38.249Z,14718972,98,14676966.521814564,242454.10206139585,1.0028620000000001,60.708282
2020-05-07T02:52:45.027Z,15554868,98,817309.6889667561,241853.47252602087,19.031792000000003,64.315256
2020-05-07T02:52:48.857Z,15097860,98,14775416.094568238,234482.61787904456,1.021823,64.387971
2020-05-07T02:52:55.937Z,14742561,98,1009476.5438131207,244220.8443056938,14.604164,60.365695
2020-05-07T02:53:02.841Z,13262441,98,1001948.680810178,381363.0546998831,13.236647,34.776418
2020-05-07T02:53:09.825Z,14626747,98,918686.976571915,243259.6438059738,15.921361,60.128128
2020-05-07T02:53:17.561Z,15707756,98,1005146.7538336373,242162.8879671064,15.627326,64.864423
2020-05-07T02:53:21.195Z,14525862,98,1017459.3366124517,381399.48052403616,14.276601999999999,38.085689
2020-05-07T02:53:27.818Z,14925983,98,1020607.5295293425,251878.84603581717,14.624606,59.258581
2020-05-07T02:53:35.324Z,14969131,98,1016751.4257760975,243155.6601533932,14.722508,61.561927
2020-05-07T02:53:41.919Z,14983521,98,1014233.9807810595,243204.26144365466,14.773239000000002,61.608793
2020-05-07T02:53:49.568Z,16146923,98,1019166.9565902363,243481.30619514876,15.843256,66.31689
2020-05-07T02:53:56.946Z,15477914,98,1018882.7445607006,246215.0587385571,15.191065,62.863393
2020-05-07T02:54:04.143Z,15567525,98,1009556.2525072687,372924.56762020057,15.420166,41.744434
2020-05-07T02:54:12.022Z,15096468,98,1004039.9116105144,374035.9414701451,15.035725,40.361009
2020-05-07T02:54:19.687Z,14379307,98,1016553.7280900199,244943.67097226167,14.145152,58.704546
2020-05-07T02:54:27.288Z,14381752,98,1011806.0853073753,379629.74401501357,14.213941,37.883628
2020-05-07T02:46:25.939Z,14546853,98,937342.9490085309,221935.55235834804,15.519243,65.545393
2020-05-07T02:46:33.477Z,14522315,98,1003023.6480384724,242785.74026327755,14.478537,59.815354
2020-05-07T02:46:40.998Z,13776030,98,1022728.4875589093,243437.80938256683,13.469879999999998,56.589525
2020-05-07T02:46:47.558Z,14696583,98,1031515.8547509789,244195.035836144,14.247558999999999,60.183791
2020-05-07T02:46:55.724Z,14776615,98,1033664.830080577,247733.99720241228,14.295364000000001,59.647102
2020-05-07T02:47:02.490Z,13990176,98,1032004.0418051537,243978.00877211112,13.556319,57.341955
2020-05-07T02:47:10.375Z,15749228,98,1001572.4504343604,386337.78837390064,15.724502,40.765435
2020-05-07T02:47:16.786Z,15100468,98,1035898.2499555983,387746.58120825695,14.577173000000002,38.944168
2020-05-07T02:47:23.712Z,15285049,98,1032214.5810900381,382598.70570664475,14.808015,39.950603
2020-05-07T02:47:27.799Z,14385456,98,1022674.7204102342,378886.3958652887,14.066502,37.967729
2020-05-07T02:47:34.950Z,13823840,98,1031714.3127314228,373240.1633311811,13.398903,37.037386
2020-05-07T02:47:42.488Z,12597108,98,1035214.9205101132,243299.49528679592,12.168592,51.776137
2020-05-07T02:47:46.145Z,14107693,98,1027334.0298403775,386867.164453165,13.732332999999999,36.466504
2020-05-07T02:47:53.560Z,15004555,98,14642761.645268701,245377.91920483488,1.024708,61.148758
2020-05-07T02:48:01.140Z,14388450,98,1035811.4787042222,240602.81662038565,13.890993,59.801669
2020-05-07T02:48:07.768Z,13971118,98,1031374.7590452523,246025.86009137658,13.546111999999999,56.787193
2020-05-07T02:48:15.195Z,13782492,98,1036166.9656322406,242087.3401746181,13.301420000000002,56.931899
2020-05-07T02:48:22.418Z,13063791,98,1023675.0585229599,384251.97614681814,12.761658,33.99798
2020-05-07T02:48:26.331Z,15428127,98,1030757.7918180366,372723.2013306215,14.967751999999999,41.392988
2020-05-07T02:48:33.426Z,14618759,98,1029080.394966708,244226.4526250508,14.205653,59.857394
2020-05-07T02:48:40.749Z,14774041,98,937882.8587941097,256606.4648218854,15.752544,57.574703
2020-05-07T02:48:48.612Z,13813029,98,1015231.8263374381,240807.71686260126,13.605788,57.361239
2020-05-07T02:48:56.043Z,13106365,98,1024625.9879223211,387162.80575623515,12.791364999999999,33.852335
2020-05-07T02:49:03.307Z,12688877,98,1029891.3250801625,246836.21438476737,12.320598,51.406059
2020-05-07T02:49:10.732Z,13374016,98,1026730.7424496535,246504.46161667106,13.025826,54.254661
2020-05-07T02:49:17.942Z,14232487,98,1031398.4572888323,241255.9369228848,13.799213,58.993313
2020-05-07T02:49:26.123Z,13218216,98,1024865.4915098748,241519.09630578294,12.897513,54.729486
2020-05-07T02:49:33.034Z,13014161,98,1034768.4744120203,243440.62003225894,12.576882000000001,53.459283
2020-05-07T02:49:40.349Z,7667792,98,1038668.7016167125,242308.89350535456,7.382327,31.644699
2020-05-07T02:49:44.253Z,7019375,98,1042177.1921335637,243799.64386800418,6.735299,28.791572
2020-05-07T02:49:48.217Z,7832545,98,1044818.6961511276,396403.3554687002,7.4965589999999995,19.759028
2020-05-07T02:49:54.664Z,7433139,98,1044808.2658770145,402106.17903868825,7.114357000000001,18.485513
2020-05-07T02:50:02.789Z,7565261,98,1039703.1979974619,243477.1142948673,7.276366,31.071754
2020-05-07T02:50:06.505Z,6941024,98,1043360.5684423979,401200.37163938774,6.652564999999999,17.300642
2020-05-07T02:50:13.912Z,6310417,98,932032.8567873281,132977.9103095239,6.770595,47.454626
2020-05-07T02:50:21.053Z,6073357,98,1019814.4359152393,211176.2227533751,5.955355,28.759663
2020-05-07T02:50:28.426Z,6567787,98,14763517.55360041,210099.6460595458,0.444866,31.260343
2020-05-07T02:50:35.988Z,7213889,98,954461.408351044,134437.77134079178,7.558072999999999,53.659689
2020-05-07T02:50:43.080Z,6878111,98,14675620.257918049,210935.02263451446,0.46867600000000004,32.607724
2020-05-07T02:50:49.974Z,6896315,98,944016.8546400907,133756.57779410953,7.305288000000001,51.558698
1 2020-05-07T02:45:07.525Z 14092413 98 1008072.7147349415 237429.55833870222 13.979560000000001 59.35408
2 2020-05-07T02:45:17.757Z 13380122 98 1021916.2373906577 241525.52775193265 13.093169 55.398376
3 2020-05-07T02:45:25.482Z 14387371 98 1020568.0985179268 247080.9156681875 14.097414 58.22939
4 2020-05-07T02:45:29.054Z 14294783 98 902105.1206018316 243702.80796950115 15.846028 58.65662
5 2020-05-07T02:45:35.481Z 14796312 98 992267.7043724243 242419.62716103587 14.911613000000001 61.035949
6 2020-05-07T02:45:42.740Z 14184248 98 1012764.9420379996 240871.4844208172 14.005469 58.887203
7 2020-05-07T02:45:49.755Z 13626103 98 1017162.5663714833 380402.4111177613 13.396189999999999 35.820233
8 2020-05-07T02:46:04.062Z 13686520 98 1017188.918011787 245269.40232432942 13.455239 55.801987
9 2020-05-07T02:46:11.376Z 13984887 98 1017724.1161593191 244214.45006486622 13.741334 57.264781
10 2020-05-07T02:46:18.646Z 15604551 98 1018524.2950000147 186906.77773900062 15.320745 83.488417
11 2020-05-07T02:50:57.535Z 14275339 98 981127.1360743942 245887.7054502321 14.549938000000001 58.056335
12 2020-05-07T02:51:05.500Z 14583404 98 998182.8141404699 371557.951587414 14.609952999999999 39.249339
13 2020-05-07T02:51:12.307Z 14863778 98 1018387.3598043547 243726.31886906546 14.595407000000002 60.985527
14 2020-05-07T02:51:15.936Z 15144990 98 1011020.2278945907 369310.1569455813 14.979907999999998 41.008864
15 2020-05-07T02:51:23.444Z 15481351 98 1008596.8866262733 241813.74156927798 15.349394 64.0218
16 2020-05-07T02:51:31.342Z 14825128 98 1014847.7967348264 243352.15262284904 14.608228 60.920472
17 2020-05-07T02:51:38.659Z 14656519 98 1017000.7132491918 241782.42701236985 14.411513000000001 60.618628
18 2020-05-07T02:51:45.848Z 12528177 98 1018564.7220929974 242739.51622008142 12.299833999999999 51.611609
19 2020-05-07T02:51:53.831Z 15698454 98 995447.6296691885 217505.73170190002 15.770245999999998 72.174898
20 2020-05-07T02:52:00.962Z 14199628 98 1019450.1099993947 245062.64362212076 13.928713 57.94285
21 2020-05-07T02:52:04.960Z 13912333 98 1019992.0100583235 247393.56525391465 13.639648999999999 56.23563
22 2020-05-07T02:52:08.228Z 14183601 98 1015683.3831629416 240108.7650171867 13.964589000000002 59.071567
23 2020-05-07T02:52:15.634Z 13724125 98 1015462.0521129136 244816.76486511127 13.515153 56.058763
24 2020-05-07T02:52:22.751Z 14612198 98 14842810.75063258 245839.4814102226 0.9844629999999999 59.437963
25 2020-05-07T02:52:30.684Z 16066350 98 1016674.3361702902 239255.62236974956 15.802848000000001 67.1514
26 2020-05-07T02:52:38.249Z 14718972 98 14676966.521814564 242454.10206139585 1.0028620000000001 60.708282
27 2020-05-07T02:52:45.027Z 15554868 98 817309.6889667561 241853.47252602087 19.031792000000003 64.315256
28 2020-05-07T02:52:48.857Z 15097860 98 14775416.094568238 234482.61787904456 1.021823 64.387971
29 2020-05-07T02:52:55.937Z 14742561 98 1009476.5438131207 244220.8443056938 14.604164 60.365695
30 2020-05-07T02:53:02.841Z 13262441 98 1001948.680810178 381363.0546998831 13.236647 34.776418
31 2020-05-07T02:53:09.825Z 14626747 98 918686.976571915 243259.6438059738 15.921361 60.128128
32 2020-05-07T02:53:17.561Z 15707756 98 1005146.7538336373 242162.8879671064 15.627326 64.864423
33 2020-05-07T02:53:21.195Z 14525862 98 1017459.3366124517 381399.48052403616 14.276601999999999 38.085689
34 2020-05-07T02:53:27.818Z 14925983 98 1020607.5295293425 251878.84603581717 14.624606 59.258581
35 2020-05-07T02:53:35.324Z 14969131 98 1016751.4257760975 243155.6601533932 14.722508 61.561927
36 2020-05-07T02:53:41.919Z 14983521 98 1014233.9807810595 243204.26144365466 14.773239000000002 61.608793
37 2020-05-07T02:53:49.568Z 16146923 98 1019166.9565902363 243481.30619514876 15.843256 66.31689
38 2020-05-07T02:53:56.946Z 15477914 98 1018882.7445607006 246215.0587385571 15.191065 62.863393
39 2020-05-07T02:54:04.143Z 15567525 98 1009556.2525072687 372924.56762020057 15.420166 41.744434
40 2020-05-07T02:54:12.022Z 15096468 98 1004039.9116105144 374035.9414701451 15.035725 40.361009
41 2020-05-07T02:54:19.687Z 14379307 98 1016553.7280900199 244943.67097226167 14.145152 58.704546
42 2020-05-07T02:54:27.288Z 14381752 98 1011806.0853073753 379629.74401501357 14.213941 37.883628
43 2020-05-07T02:46:25.939Z 14546853 98 937342.9490085309 221935.55235834804 15.519243 65.545393
44 2020-05-07T02:46:33.477Z 14522315 98 1003023.6480384724 242785.74026327755 14.478537 59.815354
45 2020-05-07T02:46:40.998Z 13776030 98 1022728.4875589093 243437.80938256683 13.469879999999998 56.589525
46 2020-05-07T02:46:47.558Z 14696583 98 1031515.8547509789 244195.035836144 14.247558999999999 60.183791
47 2020-05-07T02:46:55.724Z 14776615 98 1033664.830080577 247733.99720241228 14.295364000000001 59.647102
48 2020-05-07T02:47:02.490Z 13990176 98 1032004.0418051537 243978.00877211112 13.556319 57.341955
49 2020-05-07T02:47:10.375Z 15749228 98 1001572.4504343604 386337.78837390064 15.724502 40.765435
50 2020-05-07T02:47:16.786Z 15100468 98 1035898.2499555983 387746.58120825695 14.577173000000002 38.944168
51 2020-05-07T02:47:23.712Z 15285049 98 1032214.5810900381 382598.70570664475 14.808015 39.950603
52 2020-05-07T02:47:27.799Z 14385456 98 1022674.7204102342 378886.3958652887 14.066502 37.967729
53 2020-05-07T02:47:34.950Z 13823840 98 1031714.3127314228 373240.1633311811 13.398903 37.037386
54 2020-05-07T02:47:42.488Z 12597108 98 1035214.9205101132 243299.49528679592 12.168592 51.776137
55 2020-05-07T02:47:46.145Z 14107693 98 1027334.0298403775 386867.164453165 13.732332999999999 36.466504
56 2020-05-07T02:47:53.560Z 15004555 98 14642761.645268701 245377.91920483488 1.024708 61.148758
57 2020-05-07T02:48:01.140Z 14388450 98 1035811.4787042222 240602.81662038565 13.890993 59.801669
58 2020-05-07T02:48:07.768Z 13971118 98 1031374.7590452523 246025.86009137658 13.546111999999999 56.787193
59 2020-05-07T02:48:15.195Z 13782492 98 1036166.9656322406 242087.3401746181 13.301420000000002 56.931899
60 2020-05-07T02:48:22.418Z 13063791 98 1023675.0585229599 384251.97614681814 12.761658 33.99798
61 2020-05-07T02:48:26.331Z 15428127 98 1030757.7918180366 372723.2013306215 14.967751999999999 41.392988
62 2020-05-07T02:48:33.426Z 14618759 98 1029080.394966708 244226.4526250508 14.205653 59.857394
63 2020-05-07T02:48:40.749Z 14774041 98 937882.8587941097 256606.4648218854 15.752544 57.574703
64 2020-05-07T02:48:48.612Z 13813029 98 1015231.8263374381 240807.71686260126 13.605788 57.361239
65 2020-05-07T02:48:56.043Z 13106365 98 1024625.9879223211 387162.80575623515 12.791364999999999 33.852335
66 2020-05-07T02:49:03.307Z 12688877 98 1029891.3250801625 246836.21438476737 12.320598 51.406059
67 2020-05-07T02:49:10.732Z 13374016 98 1026730.7424496535 246504.46161667106 13.025826 54.254661
68 2020-05-07T02:49:17.942Z 14232487 98 1031398.4572888323 241255.9369228848 13.799213 58.993313
69 2020-05-07T02:49:26.123Z 13218216 98 1024865.4915098748 241519.09630578294 12.897513 54.729486
70 2020-05-07T02:49:33.034Z 13014161 98 1034768.4744120203 243440.62003225894 12.576882000000001 53.459283
71 2020-05-07T02:49:40.349Z 7667792 98 1038668.7016167125 242308.89350535456 7.382327 31.644699
72 2020-05-07T02:49:44.253Z 7019375 98 1042177.1921335637 243799.64386800418 6.735299 28.791572
73 2020-05-07T02:49:48.217Z 7832545 98 1044818.6961511276 396403.3554687002 7.4965589999999995 19.759028
74 2020-05-07T02:49:54.664Z 7433139 98 1044808.2658770145 402106.17903868825 7.114357000000001 18.485513
75 2020-05-07T02:50:02.789Z 7565261 98 1039703.1979974619 243477.1142948673 7.276366 31.071754
76 2020-05-07T02:50:06.505Z 6941024 98 1043360.5684423979 401200.37163938774 6.652564999999999 17.300642
77 2020-05-07T02:50:13.912Z 6310417 98 932032.8567873281 132977.9103095239 6.770595 47.454626
78 2020-05-07T02:50:21.053Z 6073357 98 1019814.4359152393 211176.2227533751 5.955355 28.759663
79 2020-05-07T02:50:28.426Z 6567787 98 14763517.55360041 210099.6460595458 0.444866 31.260343
80 2020-05-07T02:50:35.988Z 7213889 98 954461.408351044 134437.77134079178 7.558072999999999 53.659689
81 2020-05-07T02:50:43.080Z 6878111 98 14675620.257918049 210935.02263451446 0.46867600000000004 32.607724
82 2020-05-07T02:50:49.974Z 6896315 98 944016.8546400907 133756.57779410953 7.305288000000001 51.558698

82
benchmarking/queries/fpga_taxi_template.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T02:45:07.525Z,15097860,98,0.0,1477430.276935121,0.0,10.219
2020-05-07T02:45:17.757Z,14612198,98,1428088.1548084442,1891791.5587778352,10.232,7.724
2020-05-07T02:45:25.482Z,6567787,98,850198.9644012946,1839201.0641276953,7.724999999999999,3.571
2020-05-07T02:45:29.054Z,12528177,98,3507328.387458007,1949607.3762838468,3.572,6.426
2020-05-07T02:45:35.481Z,13724125,98,2135385.8721020697,1890896.2524111324,6.427,7.258
2020-05-07T02:45:42.740Z,13686520,98,1885455.2968728475,1951314.5138294839,7.259,7.014
2020-05-07T02:45:49.755Z,14388450,98,2051097.647897363,1005763.3160911506,7.015,14.306
2020-05-07T02:46:04.062Z,14379307,98,1005053.9596001956,1966266.5116915083,14.307,7.313
2020-05-07T02:46:11.376Z,14184248,98,1939328.411266065,1951065.7496561212,7.314,7.27
2020-05-07T02:46:18.646Z,14387371,98,1979005.6396148556,1973034.9698299507,7.27,7.292
2020-05-07T02:50:57.535Z,15707756,98,2077470.7049332098,1972345.0527373177,7.561,7.964
2020-05-07T02:51:05.500Z,13380122,98,1679864.6578782173,1965641.5454679006,7.965,6.807
2020-05-07T02:51:12.307Z,6878111,98,1010446.745996768,1895318.5450537337,6.807,3.629
2020-05-07T02:51:15.936Z,14742561,98,4062430.6971617527,1963841.8809111498,3.629,7.507
2020-05-07T02:51:23.444Z,15554868,98,2071772.5093233883,1969718.6273268329,7.508,7.897
2020-05-07T02:51:31.342Z,14294783,98,1809924.4112433528,1953639.8797321306,7.898,7.317
2020-05-07T02:51:38.659Z,14183601,98,1938444.8544485443,1972958.8259841425,7.317,7.189
2020-05-07T02:51:45.848Z,15567525,98,2165464.598692447,1950084.5546786922,7.188999999999999,7.983
2020-05-07T02:51:53.831Z,13971118,98,1750108.7310534888,1959208.8066189873,7.983,7.131
2020-05-07T02:52:00.962Z,7832545,98,1098379.6101528537,1959605.9544658496,7.131,3.9969999999999994
2020-05-07T02:52:04.960Z,6073357,98,1519098.7993996998,1859001.2243648607,3.998,3.267
2020-05-07T02:52:08.228Z,14525862,98,4444878.212974297,1961628.8993923024,3.2679999999999993,7.405
2020-05-07T02:52:15.634Z,14107693,98,1904900.4860923577,1982531.3378302418,7.406,7.116
2020-05-07T02:52:22.751Z,15604551,98,2192574.2588169174,1967538.8979952086,7.116999999999999,7.931
2020-05-07T02:52:30.684Z,14863778,98,1873664.1875709065,1964808.7243886318,7.933,7.565
2020-05-07T02:52:38.249Z,13262441,98,1753131.658955717,1956689.436411921,7.565,6.778
2020-05-07T02:52:45.027Z,7433139,98,1096656.68338743,1940767.362924282,6.778,3.83
2020-05-07T02:52:48.857Z,13990176,98,3652787.467362924,1976292.6967085747,3.83,7.079
2020-05-07T02:52:55.937Z,13626103,98,1924590.8192090394,1973653.3893395134,7.08,6.904
2020-05-07T02:53:02.841Z,13823840,98,2002294.3221320973,1979358.5337915234,6.904,6.984
2020-05-07T02:53:09.825Z,15096468,98,2161579.0378006874,1951708.8558500323,6.984,7.735
2020-05-07T02:53:17.561Z,6941024,98,897236.8148914168,1910548.8576933665,7.736,3.633
2020-05-07T02:53:21.195Z,13106365,98,3606594.6615299946,1979215.493808517,3.634,6.622
2020-05-07T02:53:27.818Z,15100468,98,2280004.2276913784,2011786.3042899014,6.623,7.506
2020-05-07T02:53:35.324Z,13063791,98,1740446.4428457234,1980862.926459439,7.506,6.595
2020-05-07T02:53:41.919Z,15285049,98,2317672.327520849,1998306.8374950974,6.595,7.649
2020-05-07T02:53:49.568Z,14381752,98,1880213.3612236893,1949539.3791514167,7.649,7.377
2020-05-07T02:53:56.946Z,14385456,98,1949777.1753862835,1999090.6058921623,7.378,7.196
2020-05-07T02:54:04.143Z,15749228,98,2188304.5713491733,1998886.6607437492,7.197,7.879
2020-05-07T02:54:12.022Z,15428127,98,1958132.631044549,2013064.5876826723,7.879,7.664
2020-05-07T02:54:19.687Z,15144990,98,1975863.01369863,1992761.8421052631,7.665,7.6
2020-05-07T02:54:27.288Z,14583404,98,1918616.497829233,1969665.586169638,7.601,7.404
2020-05-07T02:46:25.939Z,15004555,98,2057391.33415604,1990786.1217991244,7.293,7.537
2020-05-07T02:46:33.477Z,14925983,98,1980098.56725922,1984838.1648936172,7.538,7.52
2020-05-07T02:46:40.998Z,13014161,98,1730376.4127110757,1984168.4708034762,7.521,6.559
2020-05-07T02:46:47.558Z,16146923,98,2461421.18902439,1977577.8322106556,6.5600000000000005,8.165
2020-05-07T02:46:55.724Z,13374016,98,1637768.3076169482,1976942.4981522544,8.166,6.765
2020-05-07T02:47:02.490Z,15477914,98,2287601.832692876,1962956.753329106,6.766,7.885
2020-05-07T02:47:10.375Z,12597108,98,1597604.0583386177,1965227.4570982838,7.885,6.41
2020-05-07T02:47:16.786Z,13782492,98,2149819.372952738,1990251.5523465704,6.410999999999999,6.925
2020-05-07T02:47:23.712Z,7213889,98,1041566.4164019636,1765081.7225348668,6.926,4.087
2020-05-07T02:47:27.799Z,14092413,98,3448106.9243944217,1970966.8531468532,4.087,7.15
2020-05-07T02:47:34.950Z,14796312,98,2069124.877639491,1963156.6936446861,7.151,7.537
2020-05-07T02:47:42.488Z,6310417,98,837147.3865746883,1726044.0371991247,7.538,3.656
2020-05-07T02:47:46.145Z,14718972,98,4024876.127973749,1985294.3080658214,3.657,7.414
2020-05-07T02:47:53.560Z,14969131,98,2018763.4524612273,1975079.957778071,7.415,7.579
2020-05-07T02:48:01.140Z,13218216,98,1743827.968337731,1994600.271616116,7.579999999999999,6.627
2020-05-07T02:48:07.768Z,14656519,98,2211303.409776705,1973410.3945065304,6.628,7.427
2020-05-07T02:48:15.195Z,14199628,98,1911892.8234818906,1966162.8357795624,7.427,7.222
2020-05-07T02:48:22.418Z,6896315,98,954771.5630624394,1762411.1934577052,7.223,3.913
2020-05-07T02:48:26.331Z,13912333,98,3555413.493483261,1961140.8232308992,3.913,7.094
2020-05-07T02:48:33.426Z,14618759,98,2060431.148696265,1996552.7178366566,7.095,7.322
2020-05-07T02:48:40.749Z,15481351,98,2114072.238153762,1969136.479267362,7.3229999999999995,7.862
2020-05-07T02:48:48.612Z,14774041,98,1878931.8326338546,1988698.4789339076,7.863,7.429
2020-05-07T02:48:56.043Z,14546853,98,1957590.230117077,2002871.1276332093,7.431,7.263
2020-05-07T02:49:03.307Z,14626747,98,2013594.0253303964,1969932.255892256,7.264,7.425
2020-05-07T02:49:10.732Z,14275339,98,1922604.5791245792,1980210.7088361771,7.425,7.209
2020-05-07T02:49:17.942Z,15698454,98,2177316.7822468793,1919126.4058679708,7.21,8.18
2020-05-07T02:49:26.123Z,13813029,98,1688427.9427942797,1998991.1722141823,8.181,6.91
2020-05-07T02:49:33.034Z,14522315,98,2101333.38156562,1985550.3144654087,6.911,7.314
2020-05-07T02:49:40.349Z,7565261,98,1034212.0300751879,1937823.0020491804,7.315,3.904
2020-05-07T02:49:44.253Z,7667792,98,1964086.0655737706,1934845.3192026243,3.904,3.963
2020-05-07T02:49:48.217Z,12688877,98,3201028.506559031,1968488.5200124108,3.9640000000000004,6.446
2020-05-07T02:49:54.664Z,16066350,98,2492066.0772452303,1977396.923076923,6.447,8.125
2020-05-07T02:50:02.789Z,7019375,98,863923.0769230769,1889468.3714670257,8.125,3.715
2020-05-07T02:50:06.505Z,14776615,98,3976484.122712594,1994952.747401107,3.716,7.407
2020-05-07T02:50:13.912Z,13984887,98,1888063.5884973675,1958393.3622741913,7.407,7.141
2020-05-07T02:50:21.053Z,14696583,98,2058056.714745834,1993567.9598480738,7.141,7.372
2020-05-07T02:50:28.426Z,14825128,98,2010732.1307473213,1960477.1224543771,7.373,7.562
2020-05-07T02:50:35.988Z,14232487,98,1882106.1888389315,2007119.8702580736,7.562,7.091
2020-05-07T02:50:43.080Z,13776030,98,1942474.6192893402,1998263.7075718015,7.092,6.894
2020-05-07T02:50:49.974Z,14983521,98,2173414.7084421236,1981685.094564211,6.894,7.561
1 2020-05-07T02:45:07.525Z 15097860 98 0.0 1477430.276935121 0.0 10.219
2 2020-05-07T02:45:17.757Z 14612198 98 1428088.1548084442 1891791.5587778352 10.232 7.724
3 2020-05-07T02:45:25.482Z 6567787 98 850198.9644012946 1839201.0641276953 7.724999999999999 3.571
4 2020-05-07T02:45:29.054Z 12528177 98 3507328.387458007 1949607.3762838468 3.572 6.426
5 2020-05-07T02:45:35.481Z 13724125 98 2135385.8721020697 1890896.2524111324 6.427 7.258
6 2020-05-07T02:45:42.740Z 13686520 98 1885455.2968728475 1951314.5138294839 7.259 7.014
7 2020-05-07T02:45:49.755Z 14388450 98 2051097.647897363 1005763.3160911506 7.015 14.306
8 2020-05-07T02:46:04.062Z 14379307 98 1005053.9596001956 1966266.5116915083 14.307 7.313
9 2020-05-07T02:46:11.376Z 14184248 98 1939328.411266065 1951065.7496561212 7.314 7.27
10 2020-05-07T02:46:18.646Z 14387371 98 1979005.6396148556 1973034.9698299507 7.27 7.292
11 2020-05-07T02:50:57.535Z 15707756 98 2077470.7049332098 1972345.0527373177 7.561 7.964
12 2020-05-07T02:51:05.500Z 13380122 98 1679864.6578782173 1965641.5454679006 7.965 6.807
13 2020-05-07T02:51:12.307Z 6878111 98 1010446.745996768 1895318.5450537337 6.807 3.629
14 2020-05-07T02:51:15.936Z 14742561 98 4062430.6971617527 1963841.8809111498 3.629 7.507
15 2020-05-07T02:51:23.444Z 15554868 98 2071772.5093233883 1969718.6273268329 7.508 7.897
16 2020-05-07T02:51:31.342Z 14294783 98 1809924.4112433528 1953639.8797321306 7.898 7.317
17 2020-05-07T02:51:38.659Z 14183601 98 1938444.8544485443 1972958.8259841425 7.317 7.189
18 2020-05-07T02:51:45.848Z 15567525 98 2165464.598692447 1950084.5546786922 7.188999999999999 7.983
19 2020-05-07T02:51:53.831Z 13971118 98 1750108.7310534888 1959208.8066189873 7.983 7.131
20 2020-05-07T02:52:00.962Z 7832545 98 1098379.6101528537 1959605.9544658496 7.131 3.9969999999999994
21 2020-05-07T02:52:04.960Z 6073357 98 1519098.7993996998 1859001.2243648607 3.998 3.267
22 2020-05-07T02:52:08.228Z 14525862 98 4444878.212974297 1961628.8993923024 3.2679999999999993 7.405
23 2020-05-07T02:52:15.634Z 14107693 98 1904900.4860923577 1982531.3378302418 7.406 7.116
24 2020-05-07T02:52:22.751Z 15604551 98 2192574.2588169174 1967538.8979952086 7.116999999999999 7.931
25 2020-05-07T02:52:30.684Z 14863778 98 1873664.1875709065 1964808.7243886318 7.933 7.565
26 2020-05-07T02:52:38.249Z 13262441 98 1753131.658955717 1956689.436411921 7.565 6.778
27 2020-05-07T02:52:45.027Z 7433139 98 1096656.68338743 1940767.362924282 6.778 3.83
28 2020-05-07T02:52:48.857Z 13990176 98 3652787.467362924 1976292.6967085747 3.83 7.079
29 2020-05-07T02:52:55.937Z 13626103 98 1924590.8192090394 1973653.3893395134 7.08 6.904
30 2020-05-07T02:53:02.841Z 13823840 98 2002294.3221320973 1979358.5337915234 6.904 6.984
31 2020-05-07T02:53:09.825Z 15096468 98 2161579.0378006874 1951708.8558500323 6.984 7.735
32 2020-05-07T02:53:17.561Z 6941024 98 897236.8148914168 1910548.8576933665 7.736 3.633
33 2020-05-07T02:53:21.195Z 13106365 98 3606594.6615299946 1979215.493808517 3.634 6.622
34 2020-05-07T02:53:27.818Z 15100468 98 2280004.2276913784 2011786.3042899014 6.623 7.506
35 2020-05-07T02:53:35.324Z 13063791 98 1740446.4428457234 1980862.926459439 7.506 6.595
36 2020-05-07T02:53:41.919Z 15285049 98 2317672.327520849 1998306.8374950974 6.595 7.649
37 2020-05-07T02:53:49.568Z 14381752 98 1880213.3612236893 1949539.3791514167 7.649 7.377
38 2020-05-07T02:53:56.946Z 14385456 98 1949777.1753862835 1999090.6058921623 7.378 7.196
39 2020-05-07T02:54:04.143Z 15749228 98 2188304.5713491733 1998886.6607437492 7.197 7.879
40 2020-05-07T02:54:12.022Z 15428127 98 1958132.631044549 2013064.5876826723 7.879 7.664
41 2020-05-07T02:54:19.687Z 15144990 98 1975863.01369863 1992761.8421052631 7.665 7.6
42 2020-05-07T02:54:27.288Z 14583404 98 1918616.497829233 1969665.586169638 7.601 7.404
43 2020-05-07T02:46:25.939Z 15004555 98 2057391.33415604 1990786.1217991244 7.293 7.537
44 2020-05-07T02:46:33.477Z 14925983 98 1980098.56725922 1984838.1648936172 7.538 7.52
45 2020-05-07T02:46:40.998Z 13014161 98 1730376.4127110757 1984168.4708034762 7.521 6.559
46 2020-05-07T02:46:47.558Z 16146923 98 2461421.18902439 1977577.8322106556 6.5600000000000005 8.165
47 2020-05-07T02:46:55.724Z 13374016 98 1637768.3076169482 1976942.4981522544 8.166 6.765
48 2020-05-07T02:47:02.490Z 15477914 98 2287601.832692876 1962956.753329106 6.766 7.885
49 2020-05-07T02:47:10.375Z 12597108 98 1597604.0583386177 1965227.4570982838 7.885 6.41
50 2020-05-07T02:47:16.786Z 13782492 98 2149819.372952738 1990251.5523465704 6.410999999999999 6.925
51 2020-05-07T02:47:23.712Z 7213889 98 1041566.4164019636 1765081.7225348668 6.926 4.087
52 2020-05-07T02:47:27.799Z 14092413 98 3448106.9243944217 1970966.8531468532 4.087 7.15
53 2020-05-07T02:47:34.950Z 14796312 98 2069124.877639491 1963156.6936446861 7.151 7.537
54 2020-05-07T02:47:42.488Z 6310417 98 837147.3865746883 1726044.0371991247 7.538 3.656
55 2020-05-07T02:47:46.145Z 14718972 98 4024876.127973749 1985294.3080658214 3.657 7.414
56 2020-05-07T02:47:53.560Z 14969131 98 2018763.4524612273 1975079.957778071 7.415 7.579
57 2020-05-07T02:48:01.140Z 13218216 98 1743827.968337731 1994600.271616116 7.579999999999999 6.627
58 2020-05-07T02:48:07.768Z 14656519 98 2211303.409776705 1973410.3945065304 6.628 7.427
59 2020-05-07T02:48:15.195Z 14199628 98 1911892.8234818906 1966162.8357795624 7.427 7.222
60 2020-05-07T02:48:22.418Z 6896315 98 954771.5630624394 1762411.1934577052 7.223 3.913
61 2020-05-07T02:48:26.331Z 13912333 98 3555413.493483261 1961140.8232308992 3.913 7.094
62 2020-05-07T02:48:33.426Z 14618759 98 2060431.148696265 1996552.7178366566 7.095 7.322
63 2020-05-07T02:48:40.749Z 15481351 98 2114072.238153762 1969136.479267362 7.3229999999999995 7.862
64 2020-05-07T02:48:48.612Z 14774041 98 1878931.8326338546 1988698.4789339076 7.863 7.429
65 2020-05-07T02:48:56.043Z 14546853 98 1957590.230117077 2002871.1276332093 7.431 7.263
66 2020-05-07T02:49:03.307Z 14626747 98 2013594.0253303964 1969932.255892256 7.264 7.425
67 2020-05-07T02:49:10.732Z 14275339 98 1922604.5791245792 1980210.7088361771 7.425 7.209
68 2020-05-07T02:49:17.942Z 15698454 98 2177316.7822468793 1919126.4058679708 7.21 8.18
69 2020-05-07T02:49:26.123Z 13813029 98 1688427.9427942797 1998991.1722141823 8.181 6.91
70 2020-05-07T02:49:33.034Z 14522315 98 2101333.38156562 1985550.3144654087 6.911 7.314
71 2020-05-07T02:49:40.349Z 7565261 98 1034212.0300751879 1937823.0020491804 7.315 3.904
72 2020-05-07T02:49:44.253Z 7667792 98 1964086.0655737706 1934845.3192026243 3.904 3.963
73 2020-05-07T02:49:48.217Z 12688877 98 3201028.506559031 1968488.5200124108 3.9640000000000004 6.446
74 2020-05-07T02:49:54.664Z 16066350 98 2492066.0772452303 1977396.923076923 6.447 8.125
75 2020-05-07T02:50:02.789Z 7019375 98 863923.0769230769 1889468.3714670257 8.125 3.715
76 2020-05-07T02:50:06.505Z 14776615 98 3976484.122712594 1994952.747401107 3.716 7.407
77 2020-05-07T02:50:13.912Z 13984887 98 1888063.5884973675 1958393.3622741913 7.407 7.141
78 2020-05-07T02:50:21.053Z 14696583 98 2058056.714745834 1993567.9598480738 7.141 7.372
79 2020-05-07T02:50:28.426Z 14825128 98 2010732.1307473213 1960477.1224543771 7.373 7.562
80 2020-05-07T02:50:35.988Z 14232487 98 1882106.1888389315 2007119.8702580736 7.562 7.091
81 2020-05-07T02:50:43.080Z 13776030 98 1942474.6192893402 1998263.7075718015 7.092 6.894
82 2020-05-07T02:50:49.974Z 14983521 98 2173414.7084421236 1981685.094564211 6.894 7.561

82
benchmarking/queries/line_count.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
14092413
13380122
14387371
14294783
14796312
14184248
13626103
13686520
13984887
15604551
14275339
14583404
14863778
15144990
15481351
14825128
14656519
12528177
15698454
14199628
13912333
14183601
13724125
14612198
16066350
14718972
15554868
15097860
14742561
13262441
14626747
15707756
14525862
14925983
14969131
14983521
16146923
15477914
15567525
15096468
14379307
14381752
14546853
14522315
13776030
14696583
14776615
13990176
15749228
15100468
15285049
14385456
13823840
12597108
14107693
15004555
14388450
13971118
13782492
13063791
15428127
14618759
14774041
13813029
13106365
12688877
13374016
14232487
13218216
13014161
7667792
7019375
7832545
7433139
7565261
6941024
6310417
6073357
6567787
7213889
6878111
6896315
1 14092413
2 13380122
3 14387371
4 14294783
5 14796312
6 14184248
7 13626103
8 13686520
9 13984887
10 15604551
11 14275339
12 14583404
13 14863778
14 15144990
15 15481351
16 14825128
17 14656519
18 12528177
19 15698454
20 14199628
21 13912333
22 14183601
23 13724125
24 14612198
25 16066350
26 14718972
27 15554868
28 15097860
29 14742561
30 13262441
31 14626747
32 15707756
33 14525862
34 14925983
35 14969131
36 14983521
37 16146923
38 15477914
39 15567525
40 15096468
41 14379307
42 14381752
43 14546853
44 14522315
45 13776030
46 14696583
47 14776615
48 13990176
49 15749228
50 15100468
51 15285049
52 14385456
53 13823840
54 12597108
55 14107693
56 15004555
57 14388450
58 13971118
59 13782492
60 13063791
61 15428127
62 14618759
63 14774041
64 13813029
65 13106365
66 12688877
67 13374016
68 14232487
69 13218216
70 13014161
71 7667792
72 7019375
73 7832545
74 7433139
75 7565261
76 6941024
77 6310417
78 6073357
79 6567787
80 7213889
81 6878111
82 6896315

73
benchmarking/queries/logsample.json Normal file
Просмотреть файл

@ -0,0 +1,73 @@
{
"collection":
[
{
"id": "3badffe8-8aa9-4df6-9c79-1748858c4e52",
"runId": "dca454f1-1a0a-4e68-8b51-cf00cb24823f",
"name": "magenta_out",
"timestamp": "2020-04-09T08:00:32.829Z",
"batchId": 19,
"numInputRows": 30080,
"inputRowsPerSecond": 40758.807588075884,
"processedRowsPerSecond": 40375.838926174496,
"durationMs": {
"addBatch": 650,
"getBatch": 5,
"getOffset": 22,
"queryPlanning": 34,
"triggerExecution": 745,
"walCommit": 17
},
"stateOperators": [],
"sources": [
{
"description": "FileStreamSource[file:/home/boris/yellow/magenta/raw]",
"startOffset": {
"logOffset": 18
},
"endOffset": {
"logOffset": 19
},
"numInputRows": 30080,
"inputRowsPerSecond": 40758.807588075884,
"processedRowsPerSecond": 40375.838926174496
}
],
"sink": {
"description": "FileSink[/home/boris/yellow/magenta/processed]"
}
},
{
"id": "3badffe8-8aa9-4df6-9c79-1748858c4e52",
"runId": "dca454f1-1a0a-4e68-8b51-cf00cb24823f",
"name": "magenta_out",
"timestamp": "2020-04-09T08:00:33.574Z",
"batchId": 20,
"numInputRows": 0,
"inputRowsPerSecond": 0.0,
"processedRowsPerSecond": 0.0,
"durationMs": {
"getOffset": 2,
"triggerExecution": 2
},
"stateOperators": [],
"sources": [
{
"description": "FileStreamSource[file:/home/boris/yellow/magenta/raw]",
"startOffset": {
"logOffset": 19
},
"endOffset": {
"logOffset": 19
},
"numInputRows": 0,
"inputRowsPerSecond": 0.0,
"processedRowsPerSecond": 0.0
}
],
"sink": {
"description": "FileSink[/home/boris/yellow/magenta/processed]"
}
}
]
}

150
benchmarking/queries/magenta.csv Normal file
Просмотреть файл

@ -0,0 +1,150 @@
2020-04-10T00:30:02.276Z,30079,520,0.0,7720.482546201232,0.0,3.896
2020-04-10T00:30:06.183Z,30079,520,7698.745840798567,17356.60703981535,3.907,1.7329999999999999
2020-04-10T00:30:07.916Z,30076,520,17354.87593768032,18542.540073982735,1.7330000000000003,1.6220000000000003
2020-04-10T00:30:09.539Z,30080,520,18533.579790511398,17662.947739283616,1.623,1.703
2020-04-10T00:30:11.243Z,30082,520,17653.755868544602,19015.170670037925,1.704,1.582
2020-04-10T00:30:12.826Z,30081,520,19002.526847757425,18001.795332136444,1.5829999999999997,1.671
2020-04-10T00:30:14.498Z,30079,520,17989.83253588517,18717.485998755445,1.672,1.607
2020-04-10T00:30:16.105Z,30082,520,18719.352831362787,19382.731958762884,1.6070000000000002,1.5520000000000003
2020-04-10T00:30:17.659Z,30077,520,19354.568854568854,19658.169934640522,1.554,1.53
2020-04-10T00:30:19.190Z,30080,520,19647.289353363816,19672.988881621975,1.531,1.529
2020-04-10T00:30:20.720Z,30081,520,19660.78431372549,19699.410609037328,1.53,1.527
2020-04-10T00:30:22.248Z,30075,520,19682.59162303665,18974.763406940063,1.528,1.585
2020-04-10T00:30:23.834Z,30075,520,18962.79949558638,19217.252396166135,1.586,1.565
2020-04-10T00:30:25.400Z,30080,520,19208.17369093231,18613.86138613861,1.566,1.6160000000000003
2020-04-10T00:30:27.016Z,30078,520,18612.623762376235,19594.788273615635,1.616,1.535
2020-04-10T00:30:28.551Z,30078,520,19594.788273615635,19170.17208413002,1.535,1.569
2020-04-10T00:30:30.120Z,30079,520,19170.80943275972,19801.84331797235,1.569,1.519
2020-04-10T00:30:31.639Z,30081,520,19803.159973666887,19520.441271901364,1.519,1.541
2020-04-10T00:30:33.181Z,30082,520,19508.430609597923,18443.899448191292,1.5420000000000003,1.6310000000000002
2020-04-10T00:30:34.812Z,30081,520,18443.2863274065,19622.309197651666,1.631,1.5329999999999997
2020-04-10T00:30:36.345Z,30081,520,19622.309197651666,19908.007941760425,1.5329999999999997,1.511
2020-04-10T00:30:37.857Z,30080,520,19894.179894179895,18894.472361809043,1.512,1.5920000000000003
2020-04-10T00:30:39.450Z,30076,520,18880.100439422473,19416.39767591995,1.593,1.549
2020-04-10T00:30:40.999Z,30085,520,19422.207876049066,19561.11833550065,1.549,1.538
2020-04-10T00:30:42.537Z,30077,520,19555.91677503251,19096.507936507936,1.538,1.575
2020-04-10T00:30:44.112Z,30080,520,19098.4126984127,19583.333333333332,1.575,1.536
2020-04-10T00:30:45.649Z,30083,520,19572.543916720886,19935.719019218028,1.537,1.509
2020-04-10T00:30:47.159Z,30077,520,19918.543046357616,19683.90052356021,1.51,1.528
2020-04-10T00:30:48.687Z,30079,520,19685.20942408377,19368.319381841597,1.528,1.553
2020-04-10T00:30:50.240Z,30078,520,19367.675466838376,19788.157894736843,1.5530000000000002,1.5199999999999998
2020-04-10T00:30:51.761Z,30081,520,19777.120315581855,19660.78431372549,1.521,1.53
2020-04-10T00:30:53.292Z,30083,520,19649.248856956237,18512.615384615383,1.531,1.6250000000000002
2020-04-10T00:30:54.918Z,30083,520,18501.230012300126,19259.282970550576,1.6259999999999997,1.562
2020-04-10T00:30:56.481Z,30082,520,19246.32117722329,19635.770234986943,1.563,1.5320000000000003
2020-04-10T00:30:58.013Z,30079,520,19633.812010443864,18521.55172413793,1.532,1.6239999999999999
2020-04-10T00:30:59.637Z,30080,520,18522.16748768473,19519.792342634653,1.624,1.541
2020-04-10T00:31:01.178Z,30082,520,19521.090201168074,19648.595689092097,1.541,1.531
2020-04-10T00:31:02.710Z,30080,520,19634.464751958225,19894.179894179895,1.532,1.512
2020-04-10T00:31:04.223Z,30084,520,19883.674818241903,18849.624060150374,1.5130000000000001,1.596
2020-04-10T00:31:05.820Z,30079,520,18834.690043832186,19306.161745827983,1.597,1.558
2020-04-10T00:31:07.378Z,30078,520,19305.519897304235,19455.368693402328,1.558,1.546
2020-04-10T00:31:08.925Z,30077,520,19442.146089204914,18497.539975399755,1.547,1.626
2020-04-10T00:31:10.552Z,30085,520,18491.087891825446,19702.030124426983,1.627,1.527
2020-04-10T00:31:12.079Z,30080,520,19698.755730189914,19406.451612903224,1.5270000000000001,1.5500000000000003
2020-04-10T00:31:13.629Z,30080,520,19406.451612903224,19570.59206245934,1.5500000000000003,1.537
2020-04-10T00:31:15.166Z,30082,520,19571.893298633702,19332.904884318767,1.537,1.556
2020-04-10T00:31:16.722Z,30077,520,19329.69151670951,18184.401451027814,1.556,1.6539999999999997
2020-04-10T00:31:18.376Z,30078,520,18185.006045949216,19892.85714285714,1.654,1.512
2020-04-10T00:31:19.888Z,30084,520,19896.825396825396,19923.17880794702,1.512,1.51
2020-04-10T00:31:21.398Z,30078,520,19919.205298013247,19330.334190231362,1.5099999999999998,1.556
2020-04-10T00:31:22.955Z,30079,520,19318.561335902377,18601.7316017316,1.557,1.617
2020-04-10T00:31:24.572Z,30085,520,18605.442176870747,18445.738810545678,1.6170000000000002,1.631
2020-04-10T00:31:26.204Z,30084,520,18433.823529411766,19309.370988446724,1.632,1.5580000000000003
2020-04-10T00:31:27.762Z,30081,520,19307.44544287548,19270.339525944906,1.558,1.5610000000000002
2020-04-10T00:31:29.323Z,30079,520,19269.058295964125,19293.77806286081,1.561,1.559
2020-04-10T00:31:30.882Z,30082,520,19295.702373316228,18696.08452454941,1.559,1.609
2020-04-10T00:31:32.491Z,30083,520,18696.706028589186,19909.331568497684,1.609,1.511
2020-04-10T00:31:34.002Z,30077,520,19905.360688285906,19454.721862871927,1.511,1.546
2020-04-10T00:31:35.548Z,30080,520,19456.66235446313,19711.664482306685,1.546,1.5259999999999998
2020-04-10T00:31:37.074Z,30084,520,19714.285714285714,19844.327176781004,1.526,1.516
2020-04-10T00:31:38.591Z,30083,520,19830.586684245223,19585.286458333332,1.517,1.536
2020-04-10T00:31:40.128Z,30076,520,19567.989590110607,19267.136450992955,1.537,1.5609999999999997
2020-04-10T00:31:41.690Z,30075,520,19254.16133162612,19580.078125,1.562,1.536
2020-04-10T00:31:43.227Z,30082,520,19571.893298633702,19407.74193548387,1.537,1.55
2020-04-10T00:31:44.777Z,30081,520,19407.09677419355,19596.74267100977,1.55,1.5350000000000001
2020-04-10T00:31:46.312Z,30083,520,19598.045602605864,19896.164021164022,1.535,1.512
2020-04-10T00:31:47.825Z,30083,520,19883.01387970919,19948.93899204244,1.513,1.508
2020-04-10T00:31:49.333Z,30078,520,19945.623342175066,19633.159268929503,1.508,1.532
2020-04-10T00:31:50.865Z,30078,520,19633.159268929503,19998.67021276596,1.532,1.5039999999999998
2020-04-10T00:31:52.370Z,30081,520,19987.375415282393,19444.731738849387,1.505,1.547
2020-04-10T00:31:53.917Z,30078,520,19442.792501616033,19801.184990125083,1.5469999999999997,1.519
2020-04-10T00:31:55.436Z,30081,520,19803.159973666887,19469.90291262136,1.519,1.545
2020-04-10T00:31:56.981Z,30077,520,19467.313915857605,20037.974683544304,1.545,1.501
2020-04-10T00:31:58.482Z,30082,520,20041.30579613591,19246.32117722329,1.501,1.563
2020-04-10T00:32:00.045Z,30078,520,19243.76199616123,19293.136626042335,1.563,1.559
2020-04-10T00:32:01.605Z,30082,520,19283.333333333332,19725.90163934426,1.56,1.5250000000000001
2020-04-10T00:32:03.130Z,30079,520,19723.93442622951,19646.636185499676,1.525,1.531
2020-04-10T00:32:04.661Z,30078,520,19645.98301763553,19417.688831504198,1.5310000000000001,1.549
2020-04-10T00:32:06.210Z,30083,520,19420.91672046482,19383.376288659794,1.5489999999999997,1.552
2020-04-10T00:32:07.762Z,30077,520,19379.51030927835,19555.91677503251,1.552,1.538
2020-04-10T00:32:09.300Z,30078,520,19556.566970091026,19417.688831504198,1.538,1.549
2020-04-10T00:32:10.850Z,30080,520,19406.451612903224,19444.085326438268,1.5500000000000003,1.547
2020-04-10T00:32:12.398Z,30079,520,19430.878552971575,19269.058295964125,1.548,1.561
2020-04-10T00:32:13.959Z,30079,520,19269.058295964125,19380.798969072166,1.561,1.5519999999999998
2020-04-10T00:32:15.511Z,30079,520,19380.798969072166,19368.319381841597,1.5519999999999998,1.553
2020-04-10T00:32:17.064Z,30076,520,19366.38763683194,19291.85375240539,1.553,1.559
2020-04-10T00:32:18.624Z,30083,520,19283.97435897436,19700.720366732156,1.56,1.527
2020-04-10T00:32:20.151Z,30080,520,19698.755730189914,19570.59206245934,1.5270000000000001,1.537
2020-04-10T00:32:21.688Z,30082,520,19571.893298633702,19882.352941176472,1.537,1.513
2020-04-10T00:32:23.202Z,30079,520,19867.239101717307,19456.01552393273,1.5139999999999998,1.546
2020-04-10T00:32:24.748Z,30079,520,19456.01552393273,19146.40356460853,1.546,1.5710000000000002
2020-04-10T00:32:26.319Z,30082,520,19148.313176320815,19764.78318002628,1.571,1.5220000000000002
2020-04-10T00:32:27.842Z,30079,520,19749.83585029547,19711.009174311926,1.5230000000000001,1.526
2020-04-10T00:32:29.369Z,30082,520,19700.06548788474,19661.437908496733,1.527,1.5299999999999998
2020-04-10T00:32:30.899Z,30078,520,19658.823529411766,19531.16883116883,1.53,1.54
2020-04-10T00:32:32.440Z,30082,520,19521.090201168074,19661.437908496733,1.541,1.5299999999999998
2020-04-10T00:32:33.971Z,30076,520,19644.67668190725,19970.78353253652,1.531,1.506
2020-04-10T00:32:35.477Z,30080,520,19973.4395750332,19481.865284974094,1.506,1.544
2020-04-10T00:32:37.022Z,30078,520,19467.961165048546,19380.154639175256,1.545,1.552
2020-04-10T00:32:38.574Z,30081,520,19382.08762886598,19533.116883116883,1.552,1.54
2020-04-10T00:32:40.114Z,30080,520,19532.467532467534,19545.159194282,1.5399999999999998,1.539
2020-04-10T00:32:41.653Z,30081,520,19545.8089668616,19295.060936497757,1.5389999999999997,1.5589999999999997
2020-04-10T00:32:43.212Z,30083,520,19296.343810134702,19395.873629916183,1.559,1.551
2020-04-10T00:32:44.764Z,30078,520,19380.154639175256,19658.823529411766,1.552,1.53
2020-04-10T00:32:46.295Z,30080,520,19647.289353363816,18811.757348342715,1.531,1.599
2020-04-10T00:32:47.895Z,30082,520,18801.25,19407.74193548387,1.6,1.55
2020-04-10T00:32:49.446Z,30078,520,19392.649903288202,19958.858659588586,1.551,1.5070000000000001
2020-04-10T00:32:50.953Z,30084,520,19962.8400796284,19624.26614481409,1.5070000000000001,1.533
2020-04-10T00:32:52.486Z,30081,520,19622.309197651666,18637.546468401484,1.5329999999999997,1.6140000000000003
2020-04-10T00:32:54.101Z,30082,520,18626.625386996904,19123.96694214876,1.615,1.573
2020-04-10T00:32:55.675Z,30080,520,19110.54637865311,19570.59206245934,1.5740000000000003,1.537
2020-04-10T00:32:57.212Z,30080,520,19570.59206245934,19596.091205211727,1.537,1.535
2020-04-10T00:32:58.747Z,30079,520,19595.439739413683,19134.223918575062,1.535,1.572
2020-04-10T00:33:00.320Z,30080,520,19122.69548633185,19557.867360208063,1.573,1.5379999999999998
2020-04-10T00:33:01.858Z,30075,520,19554.616384915473,18974.763406940063,1.5380000000000003,1.585
2020-04-10T00:33:03.444Z,30086,520,18969.735182849938,19460.543337645537,1.5859999999999999,1.546
2020-04-10T00:33:04.991Z,30083,520,19446.024563671624,18825.406758448058,1.547,1.598
2020-04-10T00:33:06.590Z,30078,520,18810.506566604126,20092.184368737475,1.5990000000000002,1.497
2020-04-10T00:33:08.087Z,30083,520,20095.524382097527,18210.048426150122,1.497,1.652
2020-04-10T00:33:09.739Z,30083,520,18210.048426150122,19509.079118028534,1.652,1.542
2020-04-10T00:33:11.282Z,30079,520,19493.843162670124,19659.477124183006,1.543,1.53
2020-04-10T00:33:12.813Z,30081,520,19647.942521227957,19520.441271901364,1.531,1.541
2020-04-10T00:33:14.354Z,30077,520,19517.845554834523,19132.95165394402,1.541,1.572
2020-04-10T00:33:15.926Z,30080,520,19134.860050890584,20174.379610999327,1.572,1.491
2020-04-10T00:33:17.418Z,30082,520,20162.198391420912,19382.731958762884,1.492,1.5520000000000003
2020-04-10T00:33:18.971Z,30079,520,19368.319381841597,19506.485084306096,1.553,1.542
2020-04-10T00:33:20.513Z,30077,520,19505.188067444877,19787.5,1.542,1.52
2020-04-10T00:33:22.033Z,30079,520,19788.815789473683,19025.300442757747,1.52,1.5810000000000002
2020-04-10T00:33:23.614Z,30083,520,19027.830487033523,19383.376288659794,1.581,1.552
2020-04-10T00:33:25.166Z,30079,520,19380.798969072166,19557.217165149545,1.5519999999999998,1.538
2020-04-10T00:33:26.705Z,30078,520,19543.85964912281,19892.85714285714,1.539,1.512
2020-04-10T00:33:28.217Z,30078,520,19892.85714285714,19367.675466838376,1.512,1.5530000000000002
2020-04-10T00:33:29.770Z,30083,520,19370.895041854477,19598.045602605864,1.553,1.535
2020-04-10T00:33:31.305Z,30077,520,19594.13680781759,19774.49046679816,1.535,1.521
2020-04-10T00:33:32.826Z,30083,520,19778.435239973704,19948.93899204244,1.521,1.508
2020-04-10T00:33:34.334Z,30083,520,19948.93899204244,20381.436314363145,1.508,1.476
2020-04-10T00:33:35.810Z,30078,520,20378.048780487807,19582.03125,1.476,1.536
2020-04-10T00:33:37.346Z,30080,520,19583.333333333332,19881.031064111037,1.536,1.5130000000000001
2020-04-10T00:33:38.860Z,30081,520,19868.560105680317,19147.676639083387,1.514,1.571
2020-04-10T00:33:40.431Z,30080,520,19147.04010184596,19257.362355953905,1.571,1.562
2020-04-10T00:33:41.993Z,30081,520,19258.002560819463,19868.560105680317,1.562,1.514
2020-04-10T00:33:43.508Z,30079,520,19854.125412541256,19788.815789473683,1.515,1.52
2020-04-10T00:33:45.029Z,30084,520,19779.092702169626,19976.09561752988,1.521,1.506
2020-04-10T00:33:46.535Z,30079,520,19972.775564409032,19569.941444372154,1.5059999999999998,1.537
2020-04-10T00:33:48.073Z,30081,520,19558.51755526658,19881.692002643755,1.538,1.513
2020-04-10T00:33:49.586Z,30081,520,19881.692002643755,19868.560105680317,1.513,1.514
2020-04-10T00:33:51.101Z,30076,520,19852.145214521453,19747.866053841106,1.515,1.5229999999999997
2020-04-10T00:33:52.624Z,30081,520,19751.149047931714,20054.0,1.523,1.5
2020-04-10T00:33:54.124Z,30081,520,20054.0,19934.393638170975,1.5,1.509
2020-04-10T00:33:55.634Z,30078,520,19919.205298013247,20159.517426273458,1.5099999999999998,1.492
1 2020-04-10T00:30:02.276Z 30079 520 0.0 7720.482546201232 0.0 3.896
2 2020-04-10T00:30:06.183Z 30079 520 7698.745840798567 17356.60703981535 3.907 1.7329999999999999
3 2020-04-10T00:30:07.916Z 30076 520 17354.87593768032 18542.540073982735 1.7330000000000003 1.6220000000000003
4 2020-04-10T00:30:09.539Z 30080 520 18533.579790511398 17662.947739283616 1.623 1.703
5 2020-04-10T00:30:11.243Z 30082 520 17653.755868544602 19015.170670037925 1.704 1.582
6 2020-04-10T00:30:12.826Z 30081 520 19002.526847757425 18001.795332136444 1.5829999999999997 1.671
7 2020-04-10T00:30:14.498Z 30079 520 17989.83253588517 18717.485998755445 1.672 1.607
8 2020-04-10T00:30:16.105Z 30082 520 18719.352831362787 19382.731958762884 1.6070000000000002 1.5520000000000003
9 2020-04-10T00:30:17.659Z 30077 520 19354.568854568854 19658.169934640522 1.554 1.53
10 2020-04-10T00:30:19.190Z 30080 520 19647.289353363816 19672.988881621975 1.531 1.529
11 2020-04-10T00:30:20.720Z 30081 520 19660.78431372549 19699.410609037328 1.53 1.527
12 2020-04-10T00:30:22.248Z 30075 520 19682.59162303665 18974.763406940063 1.528 1.585
13 2020-04-10T00:30:23.834Z 30075 520 18962.79949558638 19217.252396166135 1.586 1.565
14 2020-04-10T00:30:25.400Z 30080 520 19208.17369093231 18613.86138613861 1.566 1.6160000000000003
15 2020-04-10T00:30:27.016Z 30078 520 18612.623762376235 19594.788273615635 1.616 1.535
16 2020-04-10T00:30:28.551Z 30078 520 19594.788273615635 19170.17208413002 1.535 1.569
17 2020-04-10T00:30:30.120Z 30079 520 19170.80943275972 19801.84331797235 1.569 1.519
18 2020-04-10T00:30:31.639Z 30081 520 19803.159973666887 19520.441271901364 1.519 1.541
19 2020-04-10T00:30:33.181Z 30082 520 19508.430609597923 18443.899448191292 1.5420000000000003 1.6310000000000002
20 2020-04-10T00:30:34.812Z 30081 520 18443.2863274065 19622.309197651666 1.631 1.5329999999999997
21 2020-04-10T00:30:36.345Z 30081 520 19622.309197651666 19908.007941760425 1.5329999999999997 1.511
22 2020-04-10T00:30:37.857Z 30080 520 19894.179894179895 18894.472361809043 1.512 1.5920000000000003
23 2020-04-10T00:30:39.450Z 30076 520 18880.100439422473 19416.39767591995 1.593 1.549
24 2020-04-10T00:30:40.999Z 30085 520 19422.207876049066 19561.11833550065 1.549 1.538
25 2020-04-10T00:30:42.537Z 30077 520 19555.91677503251 19096.507936507936 1.538 1.575
26 2020-04-10T00:30:44.112Z 30080 520 19098.4126984127 19583.333333333332 1.575 1.536
27 2020-04-10T00:30:45.649Z 30083 520 19572.543916720886 19935.719019218028 1.537 1.509
28 2020-04-10T00:30:47.159Z 30077 520 19918.543046357616 19683.90052356021 1.51 1.528
29 2020-04-10T00:30:48.687Z 30079 520 19685.20942408377 19368.319381841597 1.528 1.553
30 2020-04-10T00:30:50.240Z 30078 520 19367.675466838376 19788.157894736843 1.5530000000000002 1.5199999999999998
31 2020-04-10T00:30:51.761Z 30081 520 19777.120315581855 19660.78431372549 1.521 1.53
32 2020-04-10T00:30:53.292Z 30083 520 19649.248856956237 18512.615384615383 1.531 1.6250000000000002
33 2020-04-10T00:30:54.918Z 30083 520 18501.230012300126 19259.282970550576 1.6259999999999997 1.562
34 2020-04-10T00:30:56.481Z 30082 520 19246.32117722329 19635.770234986943 1.563 1.5320000000000003
35 2020-04-10T00:30:58.013Z 30079 520 19633.812010443864 18521.55172413793 1.532 1.6239999999999999
36 2020-04-10T00:30:59.637Z 30080 520 18522.16748768473 19519.792342634653 1.624 1.541
37 2020-04-10T00:31:01.178Z 30082 520 19521.090201168074 19648.595689092097 1.541 1.531
38 2020-04-10T00:31:02.710Z 30080 520 19634.464751958225 19894.179894179895 1.532 1.512
39 2020-04-10T00:31:04.223Z 30084 520 19883.674818241903 18849.624060150374 1.5130000000000001 1.596
40 2020-04-10T00:31:05.820Z 30079 520 18834.690043832186 19306.161745827983 1.597 1.558
41 2020-04-10T00:31:07.378Z 30078 520 19305.519897304235 19455.368693402328 1.558 1.546
42 2020-04-10T00:31:08.925Z 30077 520 19442.146089204914 18497.539975399755 1.547 1.626
43 2020-04-10T00:31:10.552Z 30085 520 18491.087891825446 19702.030124426983 1.627 1.527
44 2020-04-10T00:31:12.079Z 30080 520 19698.755730189914 19406.451612903224 1.5270000000000001 1.5500000000000003
45 2020-04-10T00:31:13.629Z 30080 520 19406.451612903224 19570.59206245934 1.5500000000000003 1.537
46 2020-04-10T00:31:15.166Z 30082 520 19571.893298633702 19332.904884318767 1.537 1.556
47 2020-04-10T00:31:16.722Z 30077 520 19329.69151670951 18184.401451027814 1.556 1.6539999999999997
48 2020-04-10T00:31:18.376Z 30078 520 18185.006045949216 19892.85714285714 1.654 1.512
49 2020-04-10T00:31:19.888Z 30084 520 19896.825396825396 19923.17880794702 1.512 1.51
50 2020-04-10T00:31:21.398Z 30078 520 19919.205298013247 19330.334190231362 1.5099999999999998 1.556
51 2020-04-10T00:31:22.955Z 30079 520 19318.561335902377 18601.7316017316 1.557 1.617
52 2020-04-10T00:31:24.572Z 30085 520 18605.442176870747 18445.738810545678 1.6170000000000002 1.631
53 2020-04-10T00:31:26.204Z 30084 520 18433.823529411766 19309.370988446724 1.632 1.5580000000000003
54 2020-04-10T00:31:27.762Z 30081 520 19307.44544287548 19270.339525944906 1.558 1.5610000000000002
55 2020-04-10T00:31:29.323Z 30079 520 19269.058295964125 19293.77806286081 1.561 1.559
56 2020-04-10T00:31:30.882Z 30082 520 19295.702373316228 18696.08452454941 1.559 1.609
57 2020-04-10T00:31:32.491Z 30083 520 18696.706028589186 19909.331568497684 1.609 1.511
58 2020-04-10T00:31:34.002Z 30077 520 19905.360688285906 19454.721862871927 1.511 1.546
59 2020-04-10T00:31:35.548Z 30080 520 19456.66235446313 19711.664482306685 1.546 1.5259999999999998
60 2020-04-10T00:31:37.074Z 30084 520 19714.285714285714 19844.327176781004 1.526 1.516
61 2020-04-10T00:31:38.591Z 30083 520 19830.586684245223 19585.286458333332 1.517 1.536
62 2020-04-10T00:31:40.128Z 30076 520 19567.989590110607 19267.136450992955 1.537 1.5609999999999997
63 2020-04-10T00:31:41.690Z 30075 520 19254.16133162612 19580.078125 1.562 1.536
64 2020-04-10T00:31:43.227Z 30082 520 19571.893298633702 19407.74193548387 1.537 1.55
65 2020-04-10T00:31:44.777Z 30081 520 19407.09677419355 19596.74267100977 1.55 1.5350000000000001
66 2020-04-10T00:31:46.312Z 30083 520 19598.045602605864 19896.164021164022 1.535 1.512
67 2020-04-10T00:31:47.825Z 30083 520 19883.01387970919 19948.93899204244 1.513 1.508
68 2020-04-10T00:31:49.333Z 30078 520 19945.623342175066 19633.159268929503 1.508 1.532
69 2020-04-10T00:31:50.865Z 30078 520 19633.159268929503 19998.67021276596 1.532 1.5039999999999998
70 2020-04-10T00:31:52.370Z 30081 520 19987.375415282393 19444.731738849387 1.505 1.547
71 2020-04-10T00:31:53.917Z 30078 520 19442.792501616033 19801.184990125083 1.5469999999999997 1.519
72 2020-04-10T00:31:55.436Z 30081 520 19803.159973666887 19469.90291262136 1.519 1.545
73 2020-04-10T00:31:56.981Z 30077 520 19467.313915857605 20037.974683544304 1.545 1.501
74 2020-04-10T00:31:58.482Z 30082 520 20041.30579613591 19246.32117722329 1.501 1.563
75 2020-04-10T00:32:00.045Z 30078 520 19243.76199616123 19293.136626042335 1.563 1.559
76 2020-04-10T00:32:01.605Z 30082 520 19283.333333333332 19725.90163934426 1.56 1.5250000000000001
77 2020-04-10T00:32:03.130Z 30079 520 19723.93442622951 19646.636185499676 1.525 1.531
78 2020-04-10T00:32:04.661Z 30078 520 19645.98301763553 19417.688831504198 1.5310000000000001 1.549
79 2020-04-10T00:32:06.210Z 30083 520 19420.91672046482 19383.376288659794 1.5489999999999997 1.552
80 2020-04-10T00:32:07.762Z 30077 520 19379.51030927835 19555.91677503251 1.552 1.538
81 2020-04-10T00:32:09.300Z 30078 520 19556.566970091026 19417.688831504198 1.538 1.549
82 2020-04-10T00:32:10.850Z 30080 520 19406.451612903224 19444.085326438268 1.5500000000000003 1.547
83 2020-04-10T00:32:12.398Z 30079 520 19430.878552971575 19269.058295964125 1.548 1.561
84 2020-04-10T00:32:13.959Z 30079 520 19269.058295964125 19380.798969072166 1.561 1.5519999999999998
85 2020-04-10T00:32:15.511Z 30079 520 19380.798969072166 19368.319381841597 1.5519999999999998 1.553
86 2020-04-10T00:32:17.064Z 30076 520 19366.38763683194 19291.85375240539 1.553 1.559
87 2020-04-10T00:32:18.624Z 30083 520 19283.97435897436 19700.720366732156 1.56 1.527
88 2020-04-10T00:32:20.151Z 30080 520 19698.755730189914 19570.59206245934 1.5270000000000001 1.537
89 2020-04-10T00:32:21.688Z 30082 520 19571.893298633702 19882.352941176472 1.537 1.513
90 2020-04-10T00:32:23.202Z 30079 520 19867.239101717307 19456.01552393273 1.5139999999999998 1.546
91 2020-04-10T00:32:24.748Z 30079 520 19456.01552393273 19146.40356460853 1.546 1.5710000000000002
92 2020-04-10T00:32:26.319Z 30082 520 19148.313176320815 19764.78318002628 1.571 1.5220000000000002
93 2020-04-10T00:32:27.842Z 30079 520 19749.83585029547 19711.009174311926 1.5230000000000001 1.526
94 2020-04-10T00:32:29.369Z 30082 520 19700.06548788474 19661.437908496733 1.527 1.5299999999999998
95 2020-04-10T00:32:30.899Z 30078 520 19658.823529411766 19531.16883116883 1.53 1.54
96 2020-04-10T00:32:32.440Z 30082 520 19521.090201168074 19661.437908496733 1.541 1.5299999999999998
97 2020-04-10T00:32:33.971Z 30076 520 19644.67668190725 19970.78353253652 1.531 1.506
98 2020-04-10T00:32:35.477Z 30080 520 19973.4395750332 19481.865284974094 1.506 1.544
99 2020-04-10T00:32:37.022Z 30078 520 19467.961165048546 19380.154639175256 1.545 1.552
100 2020-04-10T00:32:38.574Z 30081 520 19382.08762886598 19533.116883116883 1.552 1.54
101 2020-04-10T00:32:40.114Z 30080 520 19532.467532467534 19545.159194282 1.5399999999999998 1.539
102 2020-04-10T00:32:41.653Z 30081 520 19545.8089668616 19295.060936497757 1.5389999999999997 1.5589999999999997
103 2020-04-10T00:32:43.212Z 30083 520 19296.343810134702 19395.873629916183 1.559 1.551
104 2020-04-10T00:32:44.764Z 30078 520 19380.154639175256 19658.823529411766 1.552 1.53
105 2020-04-10T00:32:46.295Z 30080 520 19647.289353363816 18811.757348342715 1.531 1.599
106 2020-04-10T00:32:47.895Z 30082 520 18801.25 19407.74193548387 1.6 1.55
107 2020-04-10T00:32:49.446Z 30078 520 19392.649903288202 19958.858659588586 1.551 1.5070000000000001
108 2020-04-10T00:32:50.953Z 30084 520 19962.8400796284 19624.26614481409 1.5070000000000001 1.533
109 2020-04-10T00:32:52.486Z 30081 520 19622.309197651666 18637.546468401484 1.5329999999999997 1.6140000000000003
110 2020-04-10T00:32:54.101Z 30082 520 18626.625386996904 19123.96694214876 1.615 1.573
111 2020-04-10T00:32:55.675Z 30080 520 19110.54637865311 19570.59206245934 1.5740000000000003 1.537
112 2020-04-10T00:32:57.212Z 30080 520 19570.59206245934 19596.091205211727 1.537 1.535
113 2020-04-10T00:32:58.747Z 30079 520 19595.439739413683 19134.223918575062 1.535 1.572
114 2020-04-10T00:33:00.320Z 30080 520 19122.69548633185 19557.867360208063 1.573 1.5379999999999998
115 2020-04-10T00:33:01.858Z 30075 520 19554.616384915473 18974.763406940063 1.5380000000000003 1.585
116 2020-04-10T00:33:03.444Z 30086 520 18969.735182849938 19460.543337645537 1.5859999999999999 1.546
117 2020-04-10T00:33:04.991Z 30083 520 19446.024563671624 18825.406758448058 1.547 1.598
118 2020-04-10T00:33:06.590Z 30078 520 18810.506566604126 20092.184368737475 1.5990000000000002 1.497
119 2020-04-10T00:33:08.087Z 30083 520 20095.524382097527 18210.048426150122 1.497 1.652
120 2020-04-10T00:33:09.739Z 30083 520 18210.048426150122 19509.079118028534 1.652 1.542
121 2020-04-10T00:33:11.282Z 30079 520 19493.843162670124 19659.477124183006 1.543 1.53
122 2020-04-10T00:33:12.813Z 30081 520 19647.942521227957 19520.441271901364 1.531 1.541
123 2020-04-10T00:33:14.354Z 30077 520 19517.845554834523 19132.95165394402 1.541 1.572
124 2020-04-10T00:33:15.926Z 30080 520 19134.860050890584 20174.379610999327 1.572 1.491
125 2020-04-10T00:33:17.418Z 30082 520 20162.198391420912 19382.731958762884 1.492 1.5520000000000003
126 2020-04-10T00:33:18.971Z 30079 520 19368.319381841597 19506.485084306096 1.553 1.542
127 2020-04-10T00:33:20.513Z 30077 520 19505.188067444877 19787.5 1.542 1.52
128 2020-04-10T00:33:22.033Z 30079 520 19788.815789473683 19025.300442757747 1.52 1.5810000000000002
129 2020-04-10T00:33:23.614Z 30083 520 19027.830487033523 19383.376288659794 1.581 1.552
130 2020-04-10T00:33:25.166Z 30079 520 19380.798969072166 19557.217165149545 1.5519999999999998 1.538
131 2020-04-10T00:33:26.705Z 30078 520 19543.85964912281 19892.85714285714 1.539 1.512
132 2020-04-10T00:33:28.217Z 30078 520 19892.85714285714 19367.675466838376 1.512 1.5530000000000002
133 2020-04-10T00:33:29.770Z 30083 520 19370.895041854477 19598.045602605864 1.553 1.535
134 2020-04-10T00:33:31.305Z 30077 520 19594.13680781759 19774.49046679816 1.535 1.521
135 2020-04-10T00:33:32.826Z 30083 520 19778.435239973704 19948.93899204244 1.521 1.508
136 2020-04-10T00:33:34.334Z 30083 520 19948.93899204244 20381.436314363145 1.508 1.476
137 2020-04-10T00:33:35.810Z 30078 520 20378.048780487807 19582.03125 1.476 1.536
138 2020-04-10T00:33:37.346Z 30080 520 19583.333333333332 19881.031064111037 1.536 1.5130000000000001
139 2020-04-10T00:33:38.860Z 30081 520 19868.560105680317 19147.676639083387 1.514 1.571
140 2020-04-10T00:33:40.431Z 30080 520 19147.04010184596 19257.362355953905 1.571 1.562
141 2020-04-10T00:33:41.993Z 30081 520 19258.002560819463 19868.560105680317 1.562 1.514
142 2020-04-10T00:33:43.508Z 30079 520 19854.125412541256 19788.815789473683 1.515 1.52
143 2020-04-10T00:33:45.029Z 30084 520 19779.092702169626 19976.09561752988 1.521 1.506
144 2020-04-10T00:33:46.535Z 30079 520 19972.775564409032 19569.941444372154 1.5059999999999998 1.537
145 2020-04-10T00:33:48.073Z 30081 520 19558.51755526658 19881.692002643755 1.538 1.513
146 2020-04-10T00:33:49.586Z 30081 520 19881.692002643755 19868.560105680317 1.513 1.514
147 2020-04-10T00:33:51.101Z 30076 520 19852.145214521453 19747.866053841106 1.515 1.5229999999999997
148 2020-04-10T00:33:52.624Z 30081 520 19751.149047931714 20054.0 1.523 1.5
149 2020-04-10T00:33:54.124Z 30081 520 20054.0 19934.393638170975 1.5 1.509
150 2020-04-10T00:33:55.634Z 30078 520 19919.205298013247 20159.517426273458 1.5099999999999998 1.492

106
benchmarking/queries/schemas.scala Normal file
Просмотреть файл

@ -0,0 +1,106 @@
import org.apache.spark.sql.types._
object Schemas {
def getTaxiSchema() = {
val schema_fields =
List(
StructField("VendorID", IntegerType),
StructField("tpep_pickup_datetime", TimestampType),
StructField("tpep_dropoff_datetime", TimestampType),
StructField("passenger_count", IntegerType),
StructField("trip_distance", DoubleType),
StructField("RatecodeID", IntegerType),
StructField("store_and_fwd_flag", StringType),
StructField("PULocationID", IntegerType),
StructField("DOLocationID", IntegerType),
StructField("payment_type", IntegerType),
StructField("fare_amount", DoubleType),
StructField("extra", DoubleType),
StructField("mta_tax", DoubleType),
StructField("tip_amount", DoubleType),
StructField("tolls_amount", DoubleType),
StructField("improvement_surcharge", DoubleType),
StructField("total_amount", DoubleType),
StructField("congestion_surcharge", DoubleType)
)
StructType(schema_fields)
}
def getMagentaSchema() = {
val schema_fields =
List(
StructField("Text01", StringType),
StructField("Text02", StringType),
StructField("Text03", StringType),
StructField("Text04", StringType),
StructField("Text05", StringType),
StructField("Text06", StringType),
StructField("IntWritable01", IntegerType),
StructField("Text07", StringType),
StructField("Text08", StringType),
StructField("Text09", StringType),
StructField("Text10", StringType),
StructField("Text11", StringType),
StructField("Text12", StringType),
StructField("Text13", StringType),
StructField("LongWritable01", LongType),
StructField("LongWritable02", LongType),
StructField("LongWritable03", LongType),
StructField("LongWritable04", LongType),
StructField("LongWritable05", LongType),
StructField("LongWritable06", LongType),
StructField("Text14", StringType),
StructField("Text15", StringType),
StructField("IntWritable02", IntegerType),
StructField("Text16", StringType),
StructField("Text17", StringType),
StructField("Text18", StringType),
StructField("Text19", StringType),
StructField("Text20", StringType),
StructField("IntWritable03", IntegerType),
StructField("IntWritable04", IntegerType),
StructField("Text21", StringType),
StructField("IntWritable05", IntegerType),
StructField("Text22", StringType),
StructField("Text23", StringType),
StructField("Text24", StringType),
StructField("Text25", StringType),
StructField("Text26", StringType),
StructField("IntWritable06", IntegerType),
StructField("IntWritable07", StringType),
StructField("Text27", StringType),
StructField("IntWritable08", IntegerType),
StructField("Text28", StringType),
StructField("IntWritable09", IntegerType),
StructField("IntWritable10", IntegerType),
StructField("IntWritable11", IntegerType),
StructField("Text29", StringType),
StructField("Text30", StringType),
StructField("Text31", StringType)
)
StructType(schema_fields)
}
def getMonitorSchema() = {
val schema_fields = List(
StructField("timestamp", DateType),
StructField("numRows", LongType),
StructField("avgRowSize", IntegerType),
StructField("inputRowsPerSec", DoubleType),
StructField("processedRowsPerSec", DoubleType),
StructField("inputDurationSec", DoubleType),
StructField("processedDurationSec", DoubleType)
)
}
def getQ0Schema() = {
val schema_fields = List(
StructField("passenger_count", IntegerType),
StructField("year", IntegerType),
StructField("total", IntegerType)
)
StructType(schema_fields)
}
}

82
benchmarking/queries/taxi_q0.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T02:45:07.525Z,15097860,98,0.0,1477430.276935121,0.0,10.219
2020-05-07T02:45:17.757Z,14612198,98,1428088.1548084442,1891791.5587778352,10.232,7.724
2020-05-07T02:45:25.482Z,6567787,98,850198.9644012946,1839201.0641276953,7.724999999999999,3.571
2020-05-07T02:45:29.054Z,12528177,98,3507328.387458007,1949607.3762838468,3.572,6.426
2020-05-07T02:45:35.481Z,13724125,98,2135385.8721020697,1890896.2524111324,6.427,7.258
2020-05-07T02:45:42.740Z,13686520,98,1885455.2968728475,1951314.5138294839,7.259,7.014
2020-05-07T02:45:49.755Z,14388450,98,2051097.647897363,1005763.3160911506,7.015,14.306
2020-05-07T02:46:04.062Z,14379307,98,1005053.9596001956,1966266.5116915083,14.307,7.313
2020-05-07T02:46:11.376Z,14184248,98,1939328.411266065,1951065.7496561212,7.314,7.27
2020-05-07T02:46:18.646Z,14387371,98,1979005.6396148556,1973034.9698299507,7.27,7.292
2020-05-07T02:50:57.535Z,15707756,98,2077470.7049332098,1972345.0527373177,7.561,7.964
2020-05-07T02:51:05.500Z,13380122,98,1679864.6578782173,1965641.5454679006,7.965,6.807
2020-05-07T02:51:12.307Z,6878111,98,1010446.745996768,1895318.5450537337,6.807,3.629
2020-05-07T02:51:15.936Z,14742561,98,4062430.6971617527,1963841.8809111498,3.629,7.507
2020-05-07T02:51:23.444Z,15554868,98,2071772.5093233883,1969718.6273268329,7.508,7.897
2020-05-07T02:51:31.342Z,14294783,98,1809924.4112433528,1953639.8797321306,7.898,7.317
2020-05-07T02:51:38.659Z,14183601,98,1938444.8544485443,1972958.8259841425,7.317,7.189
2020-05-07T02:51:45.848Z,15567525,98,2165464.598692447,1950084.5546786922,7.188999999999999,7.983
2020-05-07T02:51:53.831Z,13971118,98,1750108.7310534888,1959208.8066189873,7.983,7.131
2020-05-07T02:52:00.962Z,7832545,98,1098379.6101528537,1959605.9544658496,7.131,3.9969999999999994
2020-05-07T02:52:04.960Z,6073357,98,1519098.7993996998,1859001.2243648607,3.998,3.267
2020-05-07T02:52:08.228Z,14525862,98,4444878.212974297,1961628.8993923024,3.2679999999999993,7.405
2020-05-07T02:52:15.634Z,14107693,98,1904900.4860923577,1982531.3378302418,7.406,7.116
2020-05-07T02:52:22.751Z,15604551,98,2192574.2588169174,1967538.8979952086,7.116999999999999,7.931
2020-05-07T02:52:30.684Z,14863778,98,1873664.1875709065,1964808.7243886318,7.933,7.565
2020-05-07T02:52:38.249Z,13262441,98,1753131.658955717,1956689.436411921,7.565,6.778
2020-05-07T02:52:45.027Z,7433139,98,1096656.68338743,1940767.362924282,6.778,3.83
2020-05-07T02:52:48.857Z,13990176,98,3652787.467362924,1976292.6967085747,3.83,7.079
2020-05-07T02:52:55.937Z,13626103,98,1924590.8192090394,1973653.3893395134,7.08,6.904
2020-05-07T02:53:02.841Z,13823840,98,2002294.3221320973,1979358.5337915234,6.904,6.984
2020-05-07T02:53:09.825Z,15096468,98,2161579.0378006874,1951708.8558500323,6.984,7.735
2020-05-07T02:53:17.561Z,6941024,98,897236.8148914168,1910548.8576933665,7.736,3.633
2020-05-07T02:53:21.195Z,13106365,98,3606594.6615299946,1979215.493808517,3.634,6.622
2020-05-07T02:53:27.818Z,15100468,98,2280004.2276913784,2011786.3042899014,6.623,7.506
2020-05-07T02:53:35.324Z,13063791,98,1740446.4428457234,1980862.926459439,7.506,6.595
2020-05-07T02:53:41.919Z,15285049,98,2317672.327520849,1998306.8374950974,6.595,7.649
2020-05-07T02:53:49.568Z,14381752,98,1880213.3612236893,1949539.3791514167,7.649,7.377
2020-05-07T02:53:56.946Z,14385456,98,1949777.1753862835,1999090.6058921623,7.378,7.196
2020-05-07T02:54:04.143Z,15749228,98,2188304.5713491733,1998886.6607437492,7.197,7.879
2020-05-07T02:54:12.022Z,15428127,98,1958132.631044549,2013064.5876826723,7.879,7.664
2020-05-07T02:54:19.687Z,15144990,98,1975863.01369863,1992761.8421052631,7.665,7.6
2020-05-07T02:54:27.288Z,14583404,98,1918616.497829233,1969665.586169638,7.601,7.404
2020-05-07T02:46:25.939Z,15004555,98,2057391.33415604,1990786.1217991244,7.293,7.537
2020-05-07T02:46:33.477Z,14925983,98,1980098.56725922,1984838.1648936172,7.538,7.52
2020-05-07T02:46:40.998Z,13014161,98,1730376.4127110757,1984168.4708034762,7.521,6.559
2020-05-07T02:46:47.558Z,16146923,98,2461421.18902439,1977577.8322106556,6.5600000000000005,8.165
2020-05-07T02:46:55.724Z,13374016,98,1637768.3076169482,1976942.4981522544,8.166,6.765
2020-05-07T02:47:02.490Z,15477914,98,2287601.832692876,1962956.753329106,6.766,7.885
2020-05-07T02:47:10.375Z,12597108,98,1597604.0583386177,1965227.4570982838,7.885,6.41
2020-05-07T02:47:16.786Z,13782492,98,2149819.372952738,1990251.5523465704,6.410999999999999,6.925
2020-05-07T02:47:23.712Z,7213889,98,1041566.4164019636,1765081.7225348668,6.926,4.087
2020-05-07T02:47:27.799Z,14092413,98,3448106.9243944217,1970966.8531468532,4.087,7.15
2020-05-07T02:47:34.950Z,14796312,98,2069124.877639491,1963156.6936446861,7.151,7.537
2020-05-07T02:47:42.488Z,6310417,98,837147.3865746883,1726044.0371991247,7.538,3.656
2020-05-07T02:47:46.145Z,14718972,98,4024876.127973749,1985294.3080658214,3.657,7.414
2020-05-07T02:47:53.560Z,14969131,98,2018763.4524612273,1975079.957778071,7.415,7.579
2020-05-07T02:48:01.140Z,13218216,98,1743827.968337731,1994600.271616116,7.579999999999999,6.627
2020-05-07T02:48:07.768Z,14656519,98,2211303.409776705,1973410.3945065304,6.628,7.427
2020-05-07T02:48:15.195Z,14199628,98,1911892.8234818906,1966162.8357795624,7.427,7.222
2020-05-07T02:48:22.418Z,6896315,98,954771.5630624394,1762411.1934577052,7.223,3.913
2020-05-07T02:48:26.331Z,13912333,98,3555413.493483261,1961140.8232308992,3.913,7.094
2020-05-07T02:48:33.426Z,14618759,98,2060431.148696265,1996552.7178366566,7.095,7.322
2020-05-07T02:48:40.749Z,15481351,98,2114072.238153762,1969136.479267362,7.3229999999999995,7.862
2020-05-07T02:48:48.612Z,14774041,98,1878931.8326338546,1988698.4789339076,7.863,7.429
2020-05-07T02:48:56.043Z,14546853,98,1957590.230117077,2002871.1276332093,7.431,7.263
2020-05-07T02:49:03.307Z,14626747,98,2013594.0253303964,1969932.255892256,7.264,7.425
2020-05-07T02:49:10.732Z,14275339,98,1922604.5791245792,1980210.7088361771,7.425,7.209
2020-05-07T02:49:17.942Z,15698454,98,2177316.7822468793,1919126.4058679708,7.21,8.18
2020-05-07T02:49:26.123Z,13813029,98,1688427.9427942797,1998991.1722141823,8.181,6.91
2020-05-07T02:49:33.034Z,14522315,98,2101333.38156562,1985550.3144654087,6.911,7.314
2020-05-07T02:49:40.349Z,7565261,98,1034212.0300751879,1937823.0020491804,7.315,3.904
2020-05-07T02:49:44.253Z,7667792,98,1964086.0655737706,1934845.3192026243,3.904,3.963
2020-05-07T02:49:48.217Z,12688877,98,3201028.506559031,1968488.5200124108,3.9640000000000004,6.446
2020-05-07T02:49:54.664Z,16066350,98,2492066.0772452303,1977396.923076923,6.447,8.125
2020-05-07T02:50:02.789Z,7019375,98,863923.0769230769,1889468.3714670257,8.125,3.715
2020-05-07T02:50:06.505Z,14776615,98,3976484.122712594,1994952.747401107,3.716,7.407
2020-05-07T02:50:13.912Z,13984887,98,1888063.5884973675,1958393.3622741913,7.407,7.141
2020-05-07T02:50:21.053Z,14696583,98,2058056.714745834,1993567.9598480738,7.141,7.372
2020-05-07T02:50:28.426Z,14825128,98,2010732.1307473213,1960477.1224543771,7.373,7.562
2020-05-07T02:50:35.988Z,14232487,98,1882106.1888389315,2007119.8702580736,7.562,7.091
2020-05-07T02:50:43.080Z,13776030,98,1942474.6192893402,1998263.7075718015,7.092,6.894
2020-05-07T02:50:49.974Z,14983521,98,2173414.7084421236,1981685.094564211,6.894,7.561
1 2020-05-07T02:45:07.525Z 15097860 98 0.0 1477430.276935121 0.0 10.219
2 2020-05-07T02:45:17.757Z 14612198 98 1428088.1548084442 1891791.5587778352 10.232 7.724
3 2020-05-07T02:45:25.482Z 6567787 98 850198.9644012946 1839201.0641276953 7.724999999999999 3.571
4 2020-05-07T02:45:29.054Z 12528177 98 3507328.387458007 1949607.3762838468 3.572 6.426
5 2020-05-07T02:45:35.481Z 13724125 98 2135385.8721020697 1890896.2524111324 6.427 7.258
6 2020-05-07T02:45:42.740Z 13686520 98 1885455.2968728475 1951314.5138294839 7.259 7.014
7 2020-05-07T02:45:49.755Z 14388450 98 2051097.647897363 1005763.3160911506 7.015 14.306
8 2020-05-07T02:46:04.062Z 14379307 98 1005053.9596001956 1966266.5116915083 14.307 7.313
9 2020-05-07T02:46:11.376Z 14184248 98 1939328.411266065 1951065.7496561212 7.314 7.27
10 2020-05-07T02:46:18.646Z 14387371 98 1979005.6396148556 1973034.9698299507 7.27 7.292
11 2020-05-07T02:50:57.535Z 15707756 98 2077470.7049332098 1972345.0527373177 7.561 7.964
12 2020-05-07T02:51:05.500Z 13380122 98 1679864.6578782173 1965641.5454679006 7.965 6.807
13 2020-05-07T02:51:12.307Z 6878111 98 1010446.745996768 1895318.5450537337 6.807 3.629
14 2020-05-07T02:51:15.936Z 14742561 98 4062430.6971617527 1963841.8809111498 3.629 7.507
15 2020-05-07T02:51:23.444Z 15554868 98 2071772.5093233883 1969718.6273268329 7.508 7.897
16 2020-05-07T02:51:31.342Z 14294783 98 1809924.4112433528 1953639.8797321306 7.898 7.317
17 2020-05-07T02:51:38.659Z 14183601 98 1938444.8544485443 1972958.8259841425 7.317 7.189
18 2020-05-07T02:51:45.848Z 15567525 98 2165464.598692447 1950084.5546786922 7.188999999999999 7.983
19 2020-05-07T02:51:53.831Z 13971118 98 1750108.7310534888 1959208.8066189873 7.983 7.131
20 2020-05-07T02:52:00.962Z 7832545 98 1098379.6101528537 1959605.9544658496 7.131 3.9969999999999994
21 2020-05-07T02:52:04.960Z 6073357 98 1519098.7993996998 1859001.2243648607 3.998 3.267
22 2020-05-07T02:52:08.228Z 14525862 98 4444878.212974297 1961628.8993923024 3.2679999999999993 7.405
23 2020-05-07T02:52:15.634Z 14107693 98 1904900.4860923577 1982531.3378302418 7.406 7.116
24 2020-05-07T02:52:22.751Z 15604551 98 2192574.2588169174 1967538.8979952086 7.116999999999999 7.931
25 2020-05-07T02:52:30.684Z 14863778 98 1873664.1875709065 1964808.7243886318 7.933 7.565
26 2020-05-07T02:52:38.249Z 13262441 98 1753131.658955717 1956689.436411921 7.565 6.778
27 2020-05-07T02:52:45.027Z 7433139 98 1096656.68338743 1940767.362924282 6.778 3.83
28 2020-05-07T02:52:48.857Z 13990176 98 3652787.467362924 1976292.6967085747 3.83 7.079
29 2020-05-07T02:52:55.937Z 13626103 98 1924590.8192090394 1973653.3893395134 7.08 6.904
30 2020-05-07T02:53:02.841Z 13823840 98 2002294.3221320973 1979358.5337915234 6.904 6.984
31 2020-05-07T02:53:09.825Z 15096468 98 2161579.0378006874 1951708.8558500323 6.984 7.735
32 2020-05-07T02:53:17.561Z 6941024 98 897236.8148914168 1910548.8576933665 7.736 3.633
33 2020-05-07T02:53:21.195Z 13106365 98 3606594.6615299946 1979215.493808517 3.634 6.622
34 2020-05-07T02:53:27.818Z 15100468 98 2280004.2276913784 2011786.3042899014 6.623 7.506
35 2020-05-07T02:53:35.324Z 13063791 98 1740446.4428457234 1980862.926459439 7.506 6.595
36 2020-05-07T02:53:41.919Z 15285049 98 2317672.327520849 1998306.8374950974 6.595 7.649
37 2020-05-07T02:53:49.568Z 14381752 98 1880213.3612236893 1949539.3791514167 7.649 7.377
38 2020-05-07T02:53:56.946Z 14385456 98 1949777.1753862835 1999090.6058921623 7.378 7.196
39 2020-05-07T02:54:04.143Z 15749228 98 2188304.5713491733 1998886.6607437492 7.197 7.879
40 2020-05-07T02:54:12.022Z 15428127 98 1958132.631044549 2013064.5876826723 7.879 7.664
41 2020-05-07T02:54:19.687Z 15144990 98 1975863.01369863 1992761.8421052631 7.665 7.6
42 2020-05-07T02:54:27.288Z 14583404 98 1918616.497829233 1969665.586169638 7.601 7.404
43 2020-05-07T02:46:25.939Z 15004555 98 2057391.33415604 1990786.1217991244 7.293 7.537
44 2020-05-07T02:46:33.477Z 14925983 98 1980098.56725922 1984838.1648936172 7.538 7.52
45 2020-05-07T02:46:40.998Z 13014161 98 1730376.4127110757 1984168.4708034762 7.521 6.559
46 2020-05-07T02:46:47.558Z 16146923 98 2461421.18902439 1977577.8322106556 6.5600000000000005 8.165
47 2020-05-07T02:46:55.724Z 13374016 98 1637768.3076169482 1976942.4981522544 8.166 6.765
48 2020-05-07T02:47:02.490Z 15477914 98 2287601.832692876 1962956.753329106 6.766 7.885
49 2020-05-07T02:47:10.375Z 12597108 98 1597604.0583386177 1965227.4570982838 7.885 6.41
50 2020-05-07T02:47:16.786Z 13782492 98 2149819.372952738 1990251.5523465704 6.410999999999999 6.925
51 2020-05-07T02:47:23.712Z 7213889 98 1041566.4164019636 1765081.7225348668 6.926 4.087
52 2020-05-07T02:47:27.799Z 14092413 98 3448106.9243944217 1970966.8531468532 4.087 7.15
53 2020-05-07T02:47:34.950Z 14796312 98 2069124.877639491 1963156.6936446861 7.151 7.537
54 2020-05-07T02:47:42.488Z 6310417 98 837147.3865746883 1726044.0371991247 7.538 3.656
55 2020-05-07T02:47:46.145Z 14718972 98 4024876.127973749 1985294.3080658214 3.657 7.414
56 2020-05-07T02:47:53.560Z 14969131 98 2018763.4524612273 1975079.957778071 7.415 7.579
57 2020-05-07T02:48:01.140Z 13218216 98 1743827.968337731 1994600.271616116 7.579999999999999 6.627
58 2020-05-07T02:48:07.768Z 14656519 98 2211303.409776705 1973410.3945065304 6.628 7.427
59 2020-05-07T02:48:15.195Z 14199628 98 1911892.8234818906 1966162.8357795624 7.427 7.222
60 2020-05-07T02:48:22.418Z 6896315 98 954771.5630624394 1762411.1934577052 7.223 3.913
61 2020-05-07T02:48:26.331Z 13912333 98 3555413.493483261 1961140.8232308992 3.913 7.094
62 2020-05-07T02:48:33.426Z 14618759 98 2060431.148696265 1996552.7178366566 7.095 7.322
63 2020-05-07T02:48:40.749Z 15481351 98 2114072.238153762 1969136.479267362 7.3229999999999995 7.862
64 2020-05-07T02:48:48.612Z 14774041 98 1878931.8326338546 1988698.4789339076 7.863 7.429
65 2020-05-07T02:48:56.043Z 14546853 98 1957590.230117077 2002871.1276332093 7.431 7.263
66 2020-05-07T02:49:03.307Z 14626747 98 2013594.0253303964 1969932.255892256 7.264 7.425
67 2020-05-07T02:49:10.732Z 14275339 98 1922604.5791245792 1980210.7088361771 7.425 7.209
68 2020-05-07T02:49:17.942Z 15698454 98 2177316.7822468793 1919126.4058679708 7.21 8.18
69 2020-05-07T02:49:26.123Z 13813029 98 1688427.9427942797 1998991.1722141823 8.181 6.91
70 2020-05-07T02:49:33.034Z 14522315 98 2101333.38156562 1985550.3144654087 6.911 7.314
71 2020-05-07T02:49:40.349Z 7565261 98 1034212.0300751879 1937823.0020491804 7.315 3.904
72 2020-05-07T02:49:44.253Z 7667792 98 1964086.0655737706 1934845.3192026243 3.904 3.963
73 2020-05-07T02:49:48.217Z 12688877 98 3201028.506559031 1968488.5200124108 3.9640000000000004 6.446
74 2020-05-07T02:49:54.664Z 16066350 98 2492066.0772452303 1977396.923076923 6.447 8.125
75 2020-05-07T02:50:02.789Z 7019375 98 863923.0769230769 1889468.3714670257 8.125 3.715
76 2020-05-07T02:50:06.505Z 14776615 98 3976484.122712594 1994952.747401107 3.716 7.407
77 2020-05-07T02:50:13.912Z 13984887 98 1888063.5884973675 1958393.3622741913 7.407 7.141
78 2020-05-07T02:50:21.053Z 14696583 98 2058056.714745834 1993567.9598480738 7.141 7.372
79 2020-05-07T02:50:28.426Z 14825128 98 2010732.1307473213 1960477.1224543771 7.373 7.562
80 2020-05-07T02:50:35.988Z 14232487 98 1882106.1888389315 2007119.8702580736 7.562 7.091
81 2020-05-07T02:50:43.080Z 13776030 98 1942474.6192893402 1998263.7075718015 7.092 6.894
82 2020-05-07T02:50:49.974Z 14983521 98 2173414.7084421236 1981685.094564211 6.894 7.561

82
benchmarking/queries/taxi_q1.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T03:12:19.244Z,15097860,98,0.0,1908946.7695030977,0.0,7.909
2020-05-07T03:12:27.166Z,14612198,98,1844508.709921737,3255837.3440285204,7.922,4.488
2020-05-07T03:12:31.655Z,6567787,98,1463084.6513700157,2127563.0061548427,4.489,3.087
2020-05-07T03:12:34.743Z,12528177,98,4057052.1373056993,3090324.8643315244,3.088,4.054
2020-05-07T03:12:38.798Z,13724125,98,3384494.4512946983,3369537.196169899,4.055,4.073
2020-05-07T03:12:42.872Z,13686520,98,3359479.6269023074,3400377.6397515526,4.074,4.025
2020-05-07T03:12:46.898Z,14388450,98,3573882.265275708,3172756.3395810365,4.026,4.535
2020-05-07T03:12:51.434Z,14379307,98,3170041.2257495592,3460723.706377858,4.536,4.155
2020-05-07T03:12:55.590Z,14184248,98,3412956.689124158,3294065.954482118,4.156,4.306
2020-05-07T03:12:59.897Z,14387371,98,3340462.27072208,3543687.4384236457,4.307,4.06
2020-05-07T03:17:22.464Z,15707756,98,2212983.3755987603,2068715.395759252,7.098,7.593
2020-05-07T03:17:30.058Z,13380122,98,1761933.3684487753,2038720.4022550664,7.594,6.563
2020-05-07T03:17:36.621Z,6878111,98,1048013.2561328661,1598074.1171003717,6.563,4.304
2020-05-07T03:17:40.927Z,14742561,98,3423725.2670692056,2120926.629261977,4.306,6.950999999999999
2020-05-07T03:17:47.878Z,15554868,98,2237788.519637462,2094931.7171717172,6.951,7.425
2020-05-07T03:17:55.303Z,14294783,98,1925223.2996632997,2051784.5557628823,7.425,6.967
2020-05-07T03:18:02.271Z,14183601,98,2035534.0126291618,2022184.345594525,6.968,7.014
2020-05-07T03:18:09.286Z,15567525,98,2219176.764076978,2119761.029411765,7.015,7.343999999999999
2020-05-07T03:18:16.631Z,13971118,98,1902126.3444520081,2051860.4787780878,7.345,6.809
2020-05-07T03:18:23.440Z,7832545,98,1150322.3674548392,1716534.0784571555,6.809,4.563
2020-05-07T03:18:28.004Z,6073357,98,1330709.2462751972,1596151.6425755585,4.564,3.8049999999999997
2020-05-07T03:18:31.810Z,14525862,98,3816569.1014188123,2041869.8341298848,3.806,7.114
2020-05-07T03:18:38.924Z,14107693,98,1983088.6983412988,2057114.7564887723,7.114,6.858
2020-05-07T03:18:45.783Z,15604551,98,2275047.528794285,2136146.611909651,6.859,7.304999999999999
2020-05-07T03:18:53.088Z,14863778,98,2034740.3148528405,2082636.6820793052,7.305,7.137
2020-05-07T03:19:00.225Z,13262441,98,1858265.5177245343,1977697.7333730985,7.137,6.706
2020-05-07T03:19:06.931Z,7433139,98,1108431.1064718163,1740374.3853898384,6.7059999999999995,4.271
2020-05-07T03:19:11.202Z,13990176,98,3275620.697728869,2037008.7361677343,4.271,6.868
2020-05-07T03:19:18.070Z,13626103,98,1983998.6895748398,2066753.0714394054,6.868,6.593
2020-05-07T03:19:24.663Z,13823840,98,2096745.0326103442,2003745.470358023,6.593,6.899
2020-05-07T03:19:31.562Z,15096468,98,2188211.045078997,2084571.6652858327,6.899,7.242
2020-05-07T03:19:38.805Z,6941024,98,958307.8834736987,1713410.0222167366,7.243,4.051
2020-05-07T03:19:42.857Z,13106365,98,3234542.201382034,2001277.2942433958,4.052,6.549
2020-05-07T03:19:49.407Z,15100468,98,2305414.961832061,2077950.736204761,6.550000000000001,7.267
2020-05-07T03:19:56.674Z,13063791,98,1797686.9409660106,2079890.3040917052,7.267,6.281
2020-05-07T03:20:02.956Z,15285049,98,2433150.111429481,2101037.6632302403,6.282000000000001,7.275
2020-05-07T03:20:10.231Z,14381752,98,1976873.1271477663,2097382.528802683,7.275,6.857000000000001
2020-05-07T03:20:17.088Z,14385456,98,2097922.7067230567,2036446.2061155152,6.857,7.064
2020-05-07T03:20:24.152Z,15749228,98,2229505.662514156,2119966.0788800647,7.064,7.429
2020-05-07T03:20:31.582Z,15428127,98,2076463.930013459,2155368.3989941324,7.43,7.158
2020-05-07T03:20:38.741Z,15144990,98,2115517.530381338,2061103.701687534,7.159,7.348
2020-05-07T03:20:46.089Z,14583404,98,1984676.646706587,2038211.6002795247,7.348,7.155
2020-05-07T03:13:03.958Z,15004555,98,3694793.154395469,3496750.174784432,4.061,4.291
2020-05-07T03:13:08.249Z,14925983,98,3478439.291540433,3417903.1371651017,4.291,4.367
2020-05-07T03:13:12.617Z,13014161,98,2979432.463369963,3210994.571922033,4.368,4.053
2020-05-07T03:13:16.671Z,16146923,98,3982960.7794770594,3594595.503116652,4.054,4.492
2020-05-07T03:13:21.164Z,13374016,98,2976633.8749165367,3082280.709840977,4.493,4.339
2020-05-07T03:13:25.504Z,15477914,98,3566339.631336406,2089633.3198325909,4.34,7.407
2020-05-07T03:13:32.912Z,12597108,98,1700473.5421166306,1997321.7060409067,7.408,6.307
2020-05-07T03:13:39.220Z,13782492,98,2184922.6379201016,2037925.7725861305,6.308,6.763
2020-05-07T03:13:45.984Z,7213889,98,1066512.2708456535,901736.125,6.764,8.0
2020-05-07T03:13:53.985Z,14092413,98,1761331.4585676792,2020707.3415543446,8.001,6.974
2020-05-07T03:14:00.960Z,14796312,98,2121335.053763441,2105337.5071143997,6.9750000000000005,7.028
2020-05-07T03:14:07.988Z,6310417,98,897896.5566306204,944107.8695391981,7.028,6.684
2020-05-07T03:14:14.672Z,14718972,98,2202120.287253142,2084544.9653023651,6.684,7.061
2020-05-07T03:14:21.733Z,14969131,98,2119973.2332530804,2062431.937172775,7.061,7.258
2020-05-07T03:14:28.992Z,13218216,98,1820941.7275106763,2075398.96373057,7.259,6.369
2020-05-07T03:14:35.362Z,14656519,98,2300866.405023548,2053021.2914974086,6.37,7.139
2020-05-07T03:14:42.502Z,14199628,98,1988743.4173669468,2035205.3891357316,7.14,6.977
2020-05-07T03:14:49.480Z,6896315,98,988293.9237603898,1026237.3511904762,6.978,6.72
2020-05-07T03:14:56.200Z,13912333,98,2070287.6488095238,2018034.9579344357,6.72,6.894
2020-05-07T03:15:03.094Z,14618759,98,2120504.6417174353,2131014.4314868804,6.894,6.86
2020-05-07T03:15:09.955Z,15481351,98,2256427.780206967,2092357.2104338424,6.860999999999999,7.399
2020-05-07T03:15:17.355Z,14774041,98,1996492.027027027,2118749.605621684,7.4,6.972999999999999
2020-05-07T03:15:24.328Z,14546853,98,2086168.5070988098,2064847.8353442159,6.973,7.045
2020-05-07T03:15:31.374Z,14626747,98,2075893.69855237,2052876.7719298245,7.046,7.125
2020-05-07T03:15:38.500Z,14275339,98,2003275.1894470952,2040500.142938822,7.126,6.996
2020-05-07T03:15:45.497Z,15698454,98,2243597.8276404175,2111142.280796127,6.997,7.436
2020-05-07T03:15:52.933Z,13813029,98,1857588.622915546,2056122.208990771,7.436,6.718
2020-05-07T03:15:59.651Z,14522315,98,2161702.143495088,2086839.344733439,6.717999999999999,6.959
2020-05-07T03:16:06.611Z,7565261,98,1086962.787356322,1690938.9807778273,6.959999999999999,4.474
2020-05-07T03:16:11.085Z,7667792,98,1713856.0572194904,1783207.441860465,4.474,4.3
2020-05-07T03:16:15.385Z,12688877,98,2950901.6279069767,2001715.8857864016,4.3,6.339
2020-05-07T03:16:21.724Z,16066350,98,2534524.372929484,2061903.2340862423,6.339,7.792
2020-05-07T03:16:29.516Z,7019375,98,900843.8141683779,1725086.0162202015,7.792,4.069
2020-05-07T03:16:33.586Z,14776615,98,3630617.936117936,2096866.0422874982,4.07,7.047
2020-05-07T03:16:40.634Z,13984887,98,1984234.8183881952,2026501.5215186207,7.048,6.901
2020-05-07T03:16:47.535Z,14696583,98,2129630.92305463,2137684.8,6.901,6.875000000000001
2020-05-07T03:16:54.410Z,14825128,98,2156382.2545454544,2048518.4468702502,6.875000000000001,7.237
2020-05-07T03:17:01.647Z,14232487,98,1966628.0226613237,2070179.9272727272,7.237,6.875
2020-05-07T03:17:08.523Z,13776030,98,2003494.7643979057,2013450.7453960832,6.876,6.842
2020-05-07T03:17:15.366Z,14983521,98,2189612.889083735,2110949.7041420117,6.843,7.098000000000001
1 2020-05-07T03:12:19.244Z 15097860 98 0.0 1908946.7695030977 0.0 7.909
2 2020-05-07T03:12:27.166Z 14612198 98 1844508.709921737 3255837.3440285204 7.922 4.488
3 2020-05-07T03:12:31.655Z 6567787 98 1463084.6513700157 2127563.0061548427 4.489 3.087
4 2020-05-07T03:12:34.743Z 12528177 98 4057052.1373056993 3090324.8643315244 3.088 4.054
5 2020-05-07T03:12:38.798Z 13724125 98 3384494.4512946983 3369537.196169899 4.055 4.073
6 2020-05-07T03:12:42.872Z 13686520 98 3359479.6269023074 3400377.6397515526 4.074 4.025
7 2020-05-07T03:12:46.898Z 14388450 98 3573882.265275708 3172756.3395810365 4.026 4.535
8 2020-05-07T03:12:51.434Z 14379307 98 3170041.2257495592 3460723.706377858 4.536 4.155
9 2020-05-07T03:12:55.590Z 14184248 98 3412956.689124158 3294065.954482118 4.156 4.306
10 2020-05-07T03:12:59.897Z 14387371 98 3340462.27072208 3543687.4384236457 4.307 4.06
11 2020-05-07T03:17:22.464Z 15707756 98 2212983.3755987603 2068715.395759252 7.098 7.593
12 2020-05-07T03:17:30.058Z 13380122 98 1761933.3684487753 2038720.4022550664 7.594 6.563
13 2020-05-07T03:17:36.621Z 6878111 98 1048013.2561328661 1598074.1171003717 6.563 4.304
14 2020-05-07T03:17:40.927Z 14742561 98 3423725.2670692056 2120926.629261977 4.306 6.950999999999999
15 2020-05-07T03:17:47.878Z 15554868 98 2237788.519637462 2094931.7171717172 6.951 7.425
16 2020-05-07T03:17:55.303Z 14294783 98 1925223.2996632997 2051784.5557628823 7.425 6.967
17 2020-05-07T03:18:02.271Z 14183601 98 2035534.0126291618 2022184.345594525 6.968 7.014
18 2020-05-07T03:18:09.286Z 15567525 98 2219176.764076978 2119761.029411765 7.015 7.343999999999999
19 2020-05-07T03:18:16.631Z 13971118 98 1902126.3444520081 2051860.4787780878 7.345 6.809
20 2020-05-07T03:18:23.440Z 7832545 98 1150322.3674548392 1716534.0784571555 6.809 4.563
21 2020-05-07T03:18:28.004Z 6073357 98 1330709.2462751972 1596151.6425755585 4.564 3.8049999999999997
22 2020-05-07T03:18:31.810Z 14525862 98 3816569.1014188123 2041869.8341298848 3.806 7.114
23 2020-05-07T03:18:38.924Z 14107693 98 1983088.6983412988 2057114.7564887723 7.114 6.858
24 2020-05-07T03:18:45.783Z 15604551 98 2275047.528794285 2136146.611909651 6.859 7.304999999999999
25 2020-05-07T03:18:53.088Z 14863778 98 2034740.3148528405 2082636.6820793052 7.305 7.137
26 2020-05-07T03:19:00.225Z 13262441 98 1858265.5177245343 1977697.7333730985 7.137 6.706
27 2020-05-07T03:19:06.931Z 7433139 98 1108431.1064718163 1740374.3853898384 6.7059999999999995 4.271
28 2020-05-07T03:19:11.202Z 13990176 98 3275620.697728869 2037008.7361677343 4.271 6.868
29 2020-05-07T03:19:18.070Z 13626103 98 1983998.6895748398 2066753.0714394054 6.868 6.593
30 2020-05-07T03:19:24.663Z 13823840 98 2096745.0326103442 2003745.470358023 6.593 6.899
31 2020-05-07T03:19:31.562Z 15096468 98 2188211.045078997 2084571.6652858327 6.899 7.242
32 2020-05-07T03:19:38.805Z 6941024 98 958307.8834736987 1713410.0222167366 7.243 4.051
33 2020-05-07T03:19:42.857Z 13106365 98 3234542.201382034 2001277.2942433958 4.052 6.549
34 2020-05-07T03:19:49.407Z 15100468 98 2305414.961832061 2077950.736204761 6.550000000000001 7.267
35 2020-05-07T03:19:56.674Z 13063791 98 1797686.9409660106 2079890.3040917052 7.267 6.281
36 2020-05-07T03:20:02.956Z 15285049 98 2433150.111429481 2101037.6632302403 6.282000000000001 7.275
37 2020-05-07T03:20:10.231Z 14381752 98 1976873.1271477663 2097382.528802683 7.275 6.857000000000001
38 2020-05-07T03:20:17.088Z 14385456 98 2097922.7067230567 2036446.2061155152 6.857 7.064
39 2020-05-07T03:20:24.152Z 15749228 98 2229505.662514156 2119966.0788800647 7.064 7.429
40 2020-05-07T03:20:31.582Z 15428127 98 2076463.930013459 2155368.3989941324 7.43 7.158
41 2020-05-07T03:20:38.741Z 15144990 98 2115517.530381338 2061103.701687534 7.159 7.348
42 2020-05-07T03:20:46.089Z 14583404 98 1984676.646706587 2038211.6002795247 7.348 7.155
43 2020-05-07T03:13:03.958Z 15004555 98 3694793.154395469 3496750.174784432 4.061 4.291
44 2020-05-07T03:13:08.249Z 14925983 98 3478439.291540433 3417903.1371651017 4.291 4.367
45 2020-05-07T03:13:12.617Z 13014161 98 2979432.463369963 3210994.571922033 4.368 4.053
46 2020-05-07T03:13:16.671Z 16146923 98 3982960.7794770594 3594595.503116652 4.054 4.492
47 2020-05-07T03:13:21.164Z 13374016 98 2976633.8749165367 3082280.709840977 4.493 4.339
48 2020-05-07T03:13:25.504Z 15477914 98 3566339.631336406 2089633.3198325909 4.34 7.407
49 2020-05-07T03:13:32.912Z 12597108 98 1700473.5421166306 1997321.7060409067 7.408 6.307
50 2020-05-07T03:13:39.220Z 13782492 98 2184922.6379201016 2037925.7725861305 6.308 6.763
51 2020-05-07T03:13:45.984Z 7213889 98 1066512.2708456535 901736.125 6.764 8.0
52 2020-05-07T03:13:53.985Z 14092413 98 1761331.4585676792 2020707.3415543446 8.001 6.974
53 2020-05-07T03:14:00.960Z 14796312 98 2121335.053763441 2105337.5071143997 6.9750000000000005 7.028
54 2020-05-07T03:14:07.988Z 6310417 98 897896.5566306204 944107.8695391981 7.028 6.684
55 2020-05-07T03:14:14.672Z 14718972 98 2202120.287253142 2084544.9653023651 6.684 7.061
56 2020-05-07T03:14:21.733Z 14969131 98 2119973.2332530804 2062431.937172775 7.061 7.258
57 2020-05-07T03:14:28.992Z 13218216 98 1820941.7275106763 2075398.96373057 7.259 6.369
58 2020-05-07T03:14:35.362Z 14656519 98 2300866.405023548 2053021.2914974086 6.37 7.139
59 2020-05-07T03:14:42.502Z 14199628 98 1988743.4173669468 2035205.3891357316 7.14 6.977
60 2020-05-07T03:14:49.480Z 6896315 98 988293.9237603898 1026237.3511904762 6.978 6.72
61 2020-05-07T03:14:56.200Z 13912333 98 2070287.6488095238 2018034.9579344357 6.72 6.894
62 2020-05-07T03:15:03.094Z 14618759 98 2120504.6417174353 2131014.4314868804 6.894 6.86
63 2020-05-07T03:15:09.955Z 15481351 98 2256427.780206967 2092357.2104338424 6.860999999999999 7.399
64 2020-05-07T03:15:17.355Z 14774041 98 1996492.027027027 2118749.605621684 7.4 6.972999999999999
65 2020-05-07T03:15:24.328Z 14546853 98 2086168.5070988098 2064847.8353442159 6.973 7.045
66 2020-05-07T03:15:31.374Z 14626747 98 2075893.69855237 2052876.7719298245 7.046 7.125
67 2020-05-07T03:15:38.500Z 14275339 98 2003275.1894470952 2040500.142938822 7.126 6.996
68 2020-05-07T03:15:45.497Z 15698454 98 2243597.8276404175 2111142.280796127 6.997 7.436
69 2020-05-07T03:15:52.933Z 13813029 98 1857588.622915546 2056122.208990771 7.436 6.718
70 2020-05-07T03:15:59.651Z 14522315 98 2161702.143495088 2086839.344733439 6.717999999999999 6.959
71 2020-05-07T03:16:06.611Z 7565261 98 1086962.787356322 1690938.9807778273 6.959999999999999 4.474
72 2020-05-07T03:16:11.085Z 7667792 98 1713856.0572194904 1783207.441860465 4.474 4.3
73 2020-05-07T03:16:15.385Z 12688877 98 2950901.6279069767 2001715.8857864016 4.3 6.339
74 2020-05-07T03:16:21.724Z 16066350 98 2534524.372929484 2061903.2340862423 6.339 7.792
75 2020-05-07T03:16:29.516Z 7019375 98 900843.8141683779 1725086.0162202015 7.792 4.069
76 2020-05-07T03:16:33.586Z 14776615 98 3630617.936117936 2096866.0422874982 4.07 7.047
77 2020-05-07T03:16:40.634Z 13984887 98 1984234.8183881952 2026501.5215186207 7.048 6.901
78 2020-05-07T03:16:47.535Z 14696583 98 2129630.92305463 2137684.8 6.901 6.875000000000001
79 2020-05-07T03:16:54.410Z 14825128 98 2156382.2545454544 2048518.4468702502 6.875000000000001 7.237
80 2020-05-07T03:17:01.647Z 14232487 98 1966628.0226613237 2070179.9272727272 7.237 6.875
81 2020-05-07T03:17:08.523Z 13776030 98 2003494.7643979057 2013450.7453960832 6.876 6.842
82 2020-05-07T03:17:15.366Z 14983521 98 2189612.889083735 2110949.7041420117 6.843 7.098000000000001

82
benchmarking/queries/taxi_q1_e8.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-13T21:56:26.904Z,15097860,98,0.0,808929.4899271324,0.0,18.664
2020-05-13T21:56:45.581Z,14612198,98,782363.227499063,1077119.1213327437,18.677,13.565999999999999
2020-05-13T21:56:59.148Z,6567787,98,484100.1695290042,871752.9864613751,13.567,7.534
2020-05-13T21:57:06.683Z,12528177,98,1662664.499004645,940907.0221554638,7.535,13.315
2020-05-13T21:57:19.999Z,13724125,98,1030649.21898468,1086543.0290554983,13.316,12.631
2020-05-13T21:57:32.631Z,13686520,98,1083480.0506649779,1073200.031365169,12.632,12.753
2020-05-13T21:57:45.385Z,14388450,98,1128151.9523286812,1094095.5060451678,12.754,13.150999999999998
2020-05-13T21:57:58.536Z,14379307,98,1093400.2737434416,1105760.3045216857,13.151,13.004
2020-05-13T21:58:11.541Z,14184248,98,1090676.5090349864,1067769.3465823547,13.005000000000003,13.283999999999999
2020-05-13T21:58:24.826Z,14387371,98,1082978.6225065864,1123399.000546576,13.285,12.807
2020-05-13T22:07:08.262Z,15707756,98,1178553.1212484995,1122624.0708976558,13.328,13.992
2020-05-13T22:07:22.255Z,13380122,98,956201.1005502751,903695.9340807782,13.993,14.806
2020-05-13T22:07:37.061Z,6878111,98,464548.8990949615,962377.3611305442,14.806,7.147
2020-05-13T22:07:44.208Z,14742561,98,2062762.1379599832,1140094.424251798,7.147,12.931
2020-05-13T22:07:57.140Z,15554868,98,1202819.9814413856,1155207.4266617156,12.932000000000002,13.465
2020-05-13T22:08:10.606Z,14294783,98,1061546.3389276697,1133427.1328893118,13.466,12.612
2020-05-13T22:08:23.219Z,14183601,98,1124522.3975263617,1112963.0414312617,12.613,12.744000000000002
2020-05-13T22:08:35.964Z,15567525,98,1221461.3573950569,1162362.801463451,12.745000000000001,13.393
2020-05-13T22:08:49.357Z,13971118,98,1043165.6835660419,1135955.6061468413,13.393,12.299
2020-05-13T22:09:01.657Z,7832545,98,636792.2764227642,1012741.7895009051,12.3,7.734
2020-05-13T22:09:09.392Z,6073357,98,785178.6683904331,936957.2662758408,7.735,6.482
2020-05-13T22:09:15.875Z,14525862,98,2240608.0518278577,1134301.2650320162,6.483,12.806000000000001
2020-05-13T22:09:28.681Z,14107693,98,1101647.1185381853,1137900.709791902,12.806,12.398
2020-05-13T22:09:41.079Z,15604551,98,1258634.537828682,1147899.8823010153,12.398,13.593999999999998
2020-05-13T22:09:54.674Z,14863778,98,1093326.811327694,1146807.962348584,13.595,12.961000000000002
2020-05-13T22:10:07.635Z,13262441,98,1023257.5418563383,1088155.6448966195,12.961,12.188000000000002
2020-05-13T22:10:19.824Z,7433139,98,609823.5294117647,1002446.2575859744,12.189,7.415
2020-05-13T22:10:27.239Z,13990176,98,1886739.8516520567,1138523.4375,7.415,12.288
2020-05-13T22:10:39.528Z,13626103,98,1108804.8661404508,1107453.1046814043,12.289,12.304000000000002
2020-05-13T22:10:51.832Z,13823840,98,1123524.0572171651,1133287.4241678964,12.304,12.198
2020-05-13T22:11:04.031Z,15096468,98,1237516.8456430854,1150119.457565138,12.199,13.126
2020-05-13T22:11:17.158Z,6941024,98,528759.3509560447,983984.1224836971,13.127,7.054
2020-05-13T22:11:24.213Z,13106365,98,1857741.3182140326,1085503.147258572,7.055,12.074000000000002
2020-05-13T22:11:36.287Z,15100468,98,1250659.9304290211,1160414.0474909705,12.074,13.013000000000002
2020-05-13T22:11:49.300Z,13063791,98,1003903.0969030969,1073001.3141683778,13.013,12.175
2020-05-13T22:12:01.476Z,15285049,98,1255342.3948751641,1162714.8181956487,12.176000000000002,13.146
2020-05-13T22:12:14.623Z,14381752,98,1093918.9168631628,1134475.9801214798,13.146999999999998,12.677
2020-05-13T22:12:27.300Z,14385456,98,1134768.1628145461,1149365.292425695,12.676999999999998,12.516
2020-05-13T22:12:39.817Z,15749228,98,1258227.051210354,1175227.8188194912,12.516999999999998,13.400999999999998
2020-05-13T22:12:53.218Z,15428127,98,1151266.8457577792,1161581.6142147267,13.401000000000002,13.282
2020-05-13T22:13:06.500Z,15144990,98,1140264.267429604,1152849.965745604,13.282,13.137000000000002
2020-05-13T22:13:19.638Z,14583404,98,1110017.0497792664,1137817.2739330577,13.137999999999998,12.817
2020-05-13T21:58:37.634Z,15004555,98,1171498.6727045598,1126721.859277615,12.807999999999998,13.317
2020-05-13T21:58:50.952Z,14925983,98,1120737.5732091905,1119057.0550307394,13.318000000000001,13.337999999999997
2020-05-13T21:59:04.291Z,13014161,98,975647.4248444411,1036819.7100063735,13.339,12.552
2020-05-13T21:59:16.844Z,16146923,98,1286299.928303991,1109601.6355140188,12.553,14.551999999999998
2020-05-13T21:59:31.397Z,13374016,98,918986.8755583041,1052078.036500944,14.552999999999999,12.712
2020-05-13T21:59:44.109Z,15477914,98,1217582.913782253,1126403.7551852122,12.712,13.740999999999998
2020-05-13T21:59:57.851Z,12597108,98,916686.6540532673,1010031.109685696,13.742,12.472
2020-05-13T22:00:10.324Z,13782492,98,1104986.1300408882,1097944.0771130407,12.473,12.552999999999999
2020-05-13T22:00:22.878Z,7213889,98,574628.7239126972,484836.95140802476,12.554,14.879
2020-05-13T22:00:37.758Z,14092413,98,947070.7661290322,1106328.5445124824,14.88,12.738
2020-05-13T22:00:50.497Z,14796312,98,1161497.13478295,1102967.722698472,12.739,13.415
2020-05-13T22:01:03.912Z,6310417,98,470400.07454342156,470294.90236995084,13.415,13.418
2020-05-13T22:01:17.330Z,14718972,98,1096957.2216425696,1102792.53764891,13.418000000000001,13.347
2020-05-13T22:01:30.678Z,14969131,98,1121451.2286484865,1118601.9279629353,13.348,13.382
2020-05-13T22:01:44.061Z,13218216,98,987687.0656803407,1060511.5532734275,13.383,12.463999999999999
2020-05-13T22:01:56.525Z,14656519,98,1175908.1354300384,1078319.5261918774,12.464,13.592000000000002
2020-05-13T22:02:10.118Z,14199628,98,1044627.97027882,1060782.0110563275,13.593,13.386000000000001
2020-05-13T22:02:23.505Z,6896315,98,515150.14566370356,506486.1192714454,13.387,13.616
2020-05-13T22:02:37.122Z,13912333,98,1021688.551075861,1078809.9410669974,13.617,12.896000000000003
2020-05-13T22:02:50.019Z,14618759,98,1133500.736605412,1115084.591914569,12.897,13.11
2020-05-13T22:03:03.129Z,15481351,98,1180881.0831426394,1133832.6497729602,13.109999999999998,13.654000000000002
2020-05-13T22:03:16.784Z,14774041,98,1081951.0069571587,1131416.8325930464,13.654999999999998,13.058
2020-05-13T22:03:29.842Z,14546853,98,1114018.4561188545,1119936.3307413964,13.057999999999998,12.989000000000003
2020-05-13T22:03:42.831Z,14626747,98,1126087.2276541688,1103905.433962264,12.989,13.25
2020-05-13T22:03:56.082Z,14275339,98,1077302.7696022943,1112392.9712460064,13.250999999999998,12.833
2020-05-13T22:04:08.915Z,15698454,98,1223287.929556612,1090094.715644747,12.833,14.400999999999998
2020-05-13T22:04:23.316Z,13813029,98,959171.5158669536,1107434.378257035,14.401,12.473000000000003
2020-05-13T22:04:35.790Z,14522315,98,1164206.7500400834,1119426.1157789254,12.474,12.973
2020-05-13T22:04:48.763Z,7565261,98,583154.3205118323,1000298.9554409626,12.973,7.563
2020-05-13T22:04:56.327Z,7667792,98,1013721.8402961396,987354.1076487252,7.564,7.766
2020-05-13T22:05:04.094Z,12688877,98,1633690.8716364105,1027189.9133813649,7.7669999999999995,12.353
2020-05-13T22:05:16.448Z,16066350,98,1300497.8144730453,1128571.9303175048,12.354,14.236
2020-05-13T22:05:30.684Z,7019375,98,493072.14105085697,952942.5739885963,14.236,7.366
2020-05-13T22:05:38.050Z,14776615,98,2006056.8829758351,1143258.413926499,7.366,12.925
2020-05-13T22:05:50.975Z,13984887,98,1082002.8626692456,1112206.6963575631,12.925,12.574000000000002
2020-05-13T22:06:03.550Z,14696583,98,1168714.3538767397,1128249.8848456931,12.574999999999998,13.026000000000002
2020-05-13T22:06:16.577Z,14825128,98,1138030.8589851847,1123200.8485491325,13.027,13.199
2020-05-13T22:06:29.777Z,14232487,98,1078218.7121212122,1119522.300007866,13.2,12.713
2020-05-13T22:06:42.490Z,13776030,98,1083617.5568315897,1107041.9479267115,12.713000000000001,12.444
2020-05-13T22:06:54.934Z,14983521,98,1204075.9402121503,1124213.7605042018,12.444,13.328
1 2020-05-13T21:56:26.904Z 15097860 98 0.0 808929.4899271324 0.0 18.664
2 2020-05-13T21:56:45.581Z 14612198 98 782363.227499063 1077119.1213327437 18.677 13.565999999999999
3 2020-05-13T21:56:59.148Z 6567787 98 484100.1695290042 871752.9864613751 13.567 7.534
4 2020-05-13T21:57:06.683Z 12528177 98 1662664.499004645 940907.0221554638 7.535 13.315
5 2020-05-13T21:57:19.999Z 13724125 98 1030649.21898468 1086543.0290554983 13.316 12.631
6 2020-05-13T21:57:32.631Z 13686520 98 1083480.0506649779 1073200.031365169 12.632 12.753
7 2020-05-13T21:57:45.385Z 14388450 98 1128151.9523286812 1094095.5060451678 12.754 13.150999999999998
8 2020-05-13T21:57:58.536Z 14379307 98 1093400.2737434416 1105760.3045216857 13.151 13.004
9 2020-05-13T21:58:11.541Z 14184248 98 1090676.5090349864 1067769.3465823547 13.005000000000003 13.283999999999999
10 2020-05-13T21:58:24.826Z 14387371 98 1082978.6225065864 1123399.000546576 13.285 12.807
11 2020-05-13T22:07:08.262Z 15707756 98 1178553.1212484995 1122624.0708976558 13.328 13.992
12 2020-05-13T22:07:22.255Z 13380122 98 956201.1005502751 903695.9340807782 13.993 14.806
13 2020-05-13T22:07:37.061Z 6878111 98 464548.8990949615 962377.3611305442 14.806 7.147
14 2020-05-13T22:07:44.208Z 14742561 98 2062762.1379599832 1140094.424251798 7.147 12.931
15 2020-05-13T22:07:57.140Z 15554868 98 1202819.9814413856 1155207.4266617156 12.932000000000002 13.465
16 2020-05-13T22:08:10.606Z 14294783 98 1061546.3389276697 1133427.1328893118 13.466 12.612
17 2020-05-13T22:08:23.219Z 14183601 98 1124522.3975263617 1112963.0414312617 12.613 12.744000000000002
18 2020-05-13T22:08:35.964Z 15567525 98 1221461.3573950569 1162362.801463451 12.745000000000001 13.393
19 2020-05-13T22:08:49.357Z 13971118 98 1043165.6835660419 1135955.6061468413 13.393 12.299
20 2020-05-13T22:09:01.657Z 7832545 98 636792.2764227642 1012741.7895009051 12.3 7.734
21 2020-05-13T22:09:09.392Z 6073357 98 785178.6683904331 936957.2662758408 7.735 6.482
22 2020-05-13T22:09:15.875Z 14525862 98 2240608.0518278577 1134301.2650320162 6.483 12.806000000000001
23 2020-05-13T22:09:28.681Z 14107693 98 1101647.1185381853 1137900.709791902 12.806 12.398
24 2020-05-13T22:09:41.079Z 15604551 98 1258634.537828682 1147899.8823010153 12.398 13.593999999999998
25 2020-05-13T22:09:54.674Z 14863778 98 1093326.811327694 1146807.962348584 13.595 12.961000000000002
26 2020-05-13T22:10:07.635Z 13262441 98 1023257.5418563383 1088155.6448966195 12.961 12.188000000000002
27 2020-05-13T22:10:19.824Z 7433139 98 609823.5294117647 1002446.2575859744 12.189 7.415
28 2020-05-13T22:10:27.239Z 13990176 98 1886739.8516520567 1138523.4375 7.415 12.288
29 2020-05-13T22:10:39.528Z 13626103 98 1108804.8661404508 1107453.1046814043 12.289 12.304000000000002
30 2020-05-13T22:10:51.832Z 13823840 98 1123524.0572171651 1133287.4241678964 12.304 12.198
31 2020-05-13T22:11:04.031Z 15096468 98 1237516.8456430854 1150119.457565138 12.199 13.126
32 2020-05-13T22:11:17.158Z 6941024 98 528759.3509560447 983984.1224836971 13.127 7.054
33 2020-05-13T22:11:24.213Z 13106365 98 1857741.3182140326 1085503.147258572 7.055 12.074000000000002
34 2020-05-13T22:11:36.287Z 15100468 98 1250659.9304290211 1160414.0474909705 12.074 13.013000000000002
35 2020-05-13T22:11:49.300Z 13063791 98 1003903.0969030969 1073001.3141683778 13.013 12.175
36 2020-05-13T22:12:01.476Z 15285049 98 1255342.3948751641 1162714.8181956487 12.176000000000002 13.146
37 2020-05-13T22:12:14.623Z 14381752 98 1093918.9168631628 1134475.9801214798 13.146999999999998 12.677
38 2020-05-13T22:12:27.300Z 14385456 98 1134768.1628145461 1149365.292425695 12.676999999999998 12.516
39 2020-05-13T22:12:39.817Z 15749228 98 1258227.051210354 1175227.8188194912 12.516999999999998 13.400999999999998
40 2020-05-13T22:12:53.218Z 15428127 98 1151266.8457577792 1161581.6142147267 13.401000000000002 13.282
41 2020-05-13T22:13:06.500Z 15144990 98 1140264.267429604 1152849.965745604 13.282 13.137000000000002
42 2020-05-13T22:13:19.638Z 14583404 98 1110017.0497792664 1137817.2739330577 13.137999999999998 12.817
43 2020-05-13T21:58:37.634Z 15004555 98 1171498.6727045598 1126721.859277615 12.807999999999998 13.317
44 2020-05-13T21:58:50.952Z 14925983 98 1120737.5732091905 1119057.0550307394 13.318000000000001 13.337999999999997
45 2020-05-13T21:59:04.291Z 13014161 98 975647.4248444411 1036819.7100063735 13.339 12.552
46 2020-05-13T21:59:16.844Z 16146923 98 1286299.928303991 1109601.6355140188 12.553 14.551999999999998
47 2020-05-13T21:59:31.397Z 13374016 98 918986.8755583041 1052078.036500944 14.552999999999999 12.712
48 2020-05-13T21:59:44.109Z 15477914 98 1217582.913782253 1126403.7551852122 12.712 13.740999999999998
49 2020-05-13T21:59:57.851Z 12597108 98 916686.6540532673 1010031.109685696 13.742 12.472
50 2020-05-13T22:00:10.324Z 13782492 98 1104986.1300408882 1097944.0771130407 12.473 12.552999999999999
51 2020-05-13T22:00:22.878Z 7213889 98 574628.7239126972 484836.95140802476 12.554 14.879
52 2020-05-13T22:00:37.758Z 14092413 98 947070.7661290322 1106328.5445124824 14.88 12.738
53 2020-05-13T22:00:50.497Z 14796312 98 1161497.13478295 1102967.722698472 12.739 13.415
54 2020-05-13T22:01:03.912Z 6310417 98 470400.07454342156 470294.90236995084 13.415 13.418
55 2020-05-13T22:01:17.330Z 14718972 98 1096957.2216425696 1102792.53764891 13.418000000000001 13.347
56 2020-05-13T22:01:30.678Z 14969131 98 1121451.2286484865 1118601.9279629353 13.348 13.382
57 2020-05-13T22:01:44.061Z 13218216 98 987687.0656803407 1060511.5532734275 13.383 12.463999999999999
58 2020-05-13T22:01:56.525Z 14656519 98 1175908.1354300384 1078319.5261918774 12.464 13.592000000000002
59 2020-05-13T22:02:10.118Z 14199628 98 1044627.97027882 1060782.0110563275 13.593 13.386000000000001
60 2020-05-13T22:02:23.505Z 6896315 98 515150.14566370356 506486.1192714454 13.387 13.616
61 2020-05-13T22:02:37.122Z 13912333 98 1021688.551075861 1078809.9410669974 13.617 12.896000000000003
62 2020-05-13T22:02:50.019Z 14618759 98 1133500.736605412 1115084.591914569 12.897 13.11
63 2020-05-13T22:03:03.129Z 15481351 98 1180881.0831426394 1133832.6497729602 13.109999999999998 13.654000000000002
64 2020-05-13T22:03:16.784Z 14774041 98 1081951.0069571587 1131416.8325930464 13.654999999999998 13.058
65 2020-05-13T22:03:29.842Z 14546853 98 1114018.4561188545 1119936.3307413964 13.057999999999998 12.989000000000003
66 2020-05-13T22:03:42.831Z 14626747 98 1126087.2276541688 1103905.433962264 12.989 13.25
67 2020-05-13T22:03:56.082Z 14275339 98 1077302.7696022943 1112392.9712460064 13.250999999999998 12.833
68 2020-05-13T22:04:08.915Z 15698454 98 1223287.929556612 1090094.715644747 12.833 14.400999999999998
69 2020-05-13T22:04:23.316Z 13813029 98 959171.5158669536 1107434.378257035 14.401 12.473000000000003
70 2020-05-13T22:04:35.790Z 14522315 98 1164206.7500400834 1119426.1157789254 12.474 12.973
71 2020-05-13T22:04:48.763Z 7565261 98 583154.3205118323 1000298.9554409626 12.973 7.563
72 2020-05-13T22:04:56.327Z 7667792 98 1013721.8402961396 987354.1076487252 7.564 7.766
73 2020-05-13T22:05:04.094Z 12688877 98 1633690.8716364105 1027189.9133813649 7.7669999999999995 12.353
74 2020-05-13T22:05:16.448Z 16066350 98 1300497.8144730453 1128571.9303175048 12.354 14.236
75 2020-05-13T22:05:30.684Z 7019375 98 493072.14105085697 952942.5739885963 14.236 7.366
76 2020-05-13T22:05:38.050Z 14776615 98 2006056.8829758351 1143258.413926499 7.366 12.925
77 2020-05-13T22:05:50.975Z 13984887 98 1082002.8626692456 1112206.6963575631 12.925 12.574000000000002
78 2020-05-13T22:06:03.550Z 14696583 98 1168714.3538767397 1128249.8848456931 12.574999999999998 13.026000000000002
79 2020-05-13T22:06:16.577Z 14825128 98 1138030.8589851847 1123200.8485491325 13.027 13.199
80 2020-05-13T22:06:29.777Z 14232487 98 1078218.7121212122 1119522.300007866 13.2 12.713
81 2020-05-13T22:06:42.490Z 13776030 98 1083617.5568315897 1107041.9479267115 12.713000000000001 12.444
82 2020-05-13T22:06:54.934Z 14983521 98 1204075.9402121503 1124213.7605042018 12.444 13.328

82
benchmarking/queries/taxi_q2.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T03:22:58.528Z,15097860,98,0.0,1355283.6624775582,0.0,11.14
2020-05-07T03:23:09.683Z,14612198,98,1309923.6216943075,1979436.1961528042,11.155,7.382
2020-05-07T03:23:17.066Z,6567787,98,889582.4190708384,851853.0479896239,7.383,7.71
2020-05-07T03:23:24.777Z,12528177,98,1624714.952665024,1948091.5876224537,7.711,6.431
2020-05-07T03:23:31.208Z,13724125,98,2134057.689317369,2001476.5932623595,6.431,6.857
2020-05-07T03:23:38.066Z,13686520,98,1995701.3706620007,1989319.7674418604,6.858,6.88
2020-05-07T03:23:44.947Z,14388450,98,2091040.5464322045,2053146.404109589,6.881,7.008
2020-05-07T03:23:51.956Z,14379307,98,2051549.0084177486,1996017.0738478624,7.009,7.204
2020-05-07T03:23:59.161Z,14184248,98,1968667.3143650242,2022276.5896777872,7.205,7.014
2020-05-07T03:24:06.176Z,14387371,98,2050943.834640057,2005488.0122665178,7.015,7.174
2020-05-07T03:28:55.403Z,15707756,98,2159735.459920253,2058413.8382911806,7.273,7.631
2020-05-07T03:29:03.034Z,13380122,98,1753390.3813392739,1944502.5432349949,7.631,6.881
2020-05-07T03:29:09.916Z,6878111,98,999434.9026445801,996683.2343138676,6.882,6.901
2020-05-07T03:29:16.818Z,14742561,98,2135983.917705013,2044738.0027739252,6.902,7.21
2020-05-07T03:29:24.028Z,15554868,98,2157401.9417475727,2066268.331562168,7.21,7.528
2020-05-07T03:29:31.556Z,14294783,98,1898881.907545165,2019037.1468926554,7.528,7.08
2020-05-07T03:29:38.636Z,14183601,98,2003333.4745762711,2019592.9090132422,7.08,7.023
2020-05-07T03:29:45.660Z,15567525,98,2216333.285876993,2067674.9900385179,7.024,7.529
2020-05-07T03:29:53.190Z,13971118,98,1855394.1567065073,2085241.4925373134,7.53,6.7
2020-05-07T03:29:59.891Z,7832545,98,1168862.110132816,1711283.5918724055,6.701,4.577
2020-05-07T03:30:04.469Z,6073357,98,1326639.7990388814,956735.5072463768,4.578,6.348
2020-05-07T03:30:10.817Z,14525862,98,2288258.034026465,2007998.6176389272,6.348000000000001,7.234
2020-05-07T03:30:18.052Z,14107693,98,1949923.013130615,2005357.9246624021,7.235,7.035
2020-05-07T03:30:25.088Z,15604551,98,2217815.66230813,2117881.5146579803,7.035999999999999,7.368
2020-05-07T03:30:32.457Z,14863778,98,2017068.53032976,2057555.0941306755,7.369,7.224
2020-05-07T03:30:39.682Z,13262441,98,1835631.9723183392,1983317.0330492,7.225,6.687
2020-05-07T03:30:46.370Z,7433139,98,1111414.3241626795,1621539.9214659687,6.688,4.584
2020-05-07T03:30:50.955Z,13990176,98,3051292.4754634677,2079395.957193817,4.585,6.728
2020-05-07T03:30:57.684Z,13626103,98,2024981.869519988,2020477.9062870701,6.729,6.744
2020-05-07T03:31:04.429Z,13823840,98,2049494.4403261675,2002004.3446777696,6.745,6.905
2020-05-07T03:31:11.335Z,15096468,98,2185993.049522155,2064897.8251949118,6.905999999999999,7.311
2020-05-07T03:31:18.646Z,6941024,98,949394.6108603474,1594171.7960496095,7.311,4.354
2020-05-07T03:31:23.001Z,13106365,98,3009498.277841561,1986113.805121988,4.355,6.599
2020-05-07T03:31:29.601Z,15100468,98,2287949.6969696973,2064315.5160628844,6.599999999999999,7.315
2020-05-07T03:31:36.917Z,13063791,98,1785646.6648441772,2035492.5210345902,7.316,6.418
2020-05-07T03:31:43.335Z,15285049,98,2381590.6824555937,2086696.109215017,6.418,7.325
2020-05-07T03:31:50.661Z,14381752,98,1963111.1111111112,2023319.0770962297,7.326,7.108
2020-05-07T03:31:57.769Z,14385456,98,2023840.1800787845,2063318.4165232356,7.108,6.972
2020-05-07T03:32:04.742Z,15749228,98,2258601.462785028,2096821.7281320728,6.973,7.511
2020-05-07T03:32:12.253Z,15428127,98,2054070.9625882038,2090815.422143922,7.511,7.379
2020-05-07T03:32:19.632Z,15144990,98,2052444.7757148666,2044134.1611553517,7.379,7.409
2020-05-07T03:32:27.041Z,14583404,98,1968336.3476852477,2025472.7777777778,7.409,7.2
2020-05-07T03:24:13.350Z,15004555,98,2091518.6785614719,2088607.3218262806,7.174,7.184
2020-05-07T03:24:20.535Z,14925983,98,2077381.0716771053,2053657.5399009357,7.185,7.268
2020-05-07T03:24:27.804Z,13014161,98,1790364.699408447,1998182.2508828498,7.269,6.513
2020-05-07T03:24:34.317Z,16146923,98,2479183.632734531,2078111.0682110684,6.513,7.77
2020-05-07T03:24:42.088Z,13374016,98,1721016.0854458886,1986043.362043362,7.771,6.734
2020-05-07T03:24:48.823Z,15477914,98,2298131.2546399403,2025639.8377175762,6.735000000000001,7.641
2020-05-07T03:24:56.464Z,12597108,98,1648620.3376521398,2007187.380497132,7.641,6.276
2020-05-07T03:25:02.740Z,13782492,98,2196063.09751434,1937920.6974128233,6.276000000000001,7.112
2020-05-07T03:25:09.853Z,7213889,98,1014183.7480669196,967528.0311158798,7.113,7.456
2020-05-07T03:25:17.310Z,14092413,98,1889823.387421215,2002047.5919874983,7.457,7.039
2020-05-07T03:25:24.350Z,14796312,98,2101748.8636363638,2024950.3216094156,7.039999999999999,7.307
2020-05-07T03:25:31.658Z,6310417,98,863494.389709907,921363.2647101766,7.308,6.849
2020-05-07T03:25:38.507Z,14718972,98,2149068.7691633813,1964363.0054717737,6.849000000000001,7.493
2020-05-07T03:25:46.001Z,14969131,98,1997482.1190285562,1932747.708198838,7.494,7.745
2020-05-07T03:25:53.747Z,13218216,98,1706457.0100697132,1866979.6610169492,7.746,7.08
2020-05-07T03:26:00.828Z,14656519,98,2069837.4523372403,2074818.657984145,7.081,7.064
2020-05-07T03:26:07.892Z,14199628,98,2010139.8640996602,2013845.979293717,7.064,7.051
2020-05-07T03:26:14.943Z,6896315,98,978061.9770245355,1001643.427741467,7.051,6.885
2020-05-07T03:26:21.828Z,13912333,98,2020672.9121278143,2026855.0407925409,6.885,6.864
2020-05-07T03:26:28.692Z,14618759,98,2129772.5815850818,2075938.5117864243,6.864,7.042
2020-05-07T03:26:35.735Z,15481351,98,2198118.8414028115,2093205.922120065,7.042999999999999,7.396
2020-05-07T03:26:43.132Z,14774041,98,1997301.74395025,2064278.4686321085,7.397,7.157
2020-05-07T03:26:50.289Z,14546853,98,2032535.0006986167,2083181.0110267794,7.157,6.983
2020-05-07T03:26:57.273Z,14626747,98,2094322.3081328752,2041986.1789752897,6.984,7.163
2020-05-07T03:27:04.436Z,14275339,98,1992927.404718693,2026595.5423055084,7.163,7.044
2020-05-07T03:27:11.480Z,15698454,98,2228627.768313458,1176354.7396028475,7.0440000000000005,13.345
2020-05-07T03:27:24.826Z,13813029,98,1034993.9307657725,2045465.5708573966,13.346,6.753
2020-05-07T03:27:31.580Z,14522315,98,2150179.893396506,2069000.5698817496,6.753999999999999,7.019
2020-05-07T03:27:38.600Z,7565261,98,1077672.507122507,1654332.1670675704,7.0200000000000005,4.573
2020-05-07T03:27:43.174Z,7667792,98,1676386.5325754264,1760687.0264064292,4.574,4.355
2020-05-07T03:27:47.530Z,12688877,98,2912965.3351698807,1971853.4576534578,4.356,6.435
2020-05-07T03:27:53.966Z,16066350,98,2496325.357364823,2091155.7985162046,6.435999999999999,7.683
2020-05-07T03:28:01.649Z,7019375,98,913624.235324743,1689786.9523350988,7.683,4.154
2020-05-07T03:28:05.804Z,14776615,98,3556345.367027677,2028918.7148153232,4.155,7.283
2020-05-07T03:28:13.088Z,13984887,98,1919946.046128501,2019769.9306759099,7.284,6.924
2020-05-07T03:28:20.013Z,14696583,98,2122250.2527075815,2050018.5520993166,6.924999999999999,7.169
2020-05-07T03:28:27.182Z,14825128,98,2067949.2258334497,2021975.9956355703,7.169,7.332
2020-05-07T03:28:34.515Z,14232487,98,1940881.9037228965,2081685.9733801375,7.333,6.837
2020-05-07T03:28:41.352Z,13776030,98,2014923.2119350594,2032462.3782826795,6.837,6.778
2020-05-07T03:28:48.130Z,14983521,98,2210610.9471820598,2060440.1815181517,6.778,7.272
1 2020-05-07T03:22:58.528Z 15097860 98 0.0 1355283.6624775582 0.0 11.14
2 2020-05-07T03:23:09.683Z 14612198 98 1309923.6216943075 1979436.1961528042 11.155 7.382
3 2020-05-07T03:23:17.066Z 6567787 98 889582.4190708384 851853.0479896239 7.383 7.71
4 2020-05-07T03:23:24.777Z 12528177 98 1624714.952665024 1948091.5876224537 7.711 6.431
5 2020-05-07T03:23:31.208Z 13724125 98 2134057.689317369 2001476.5932623595 6.431 6.857
6 2020-05-07T03:23:38.066Z 13686520 98 1995701.3706620007 1989319.7674418604 6.858 6.88
7 2020-05-07T03:23:44.947Z 14388450 98 2091040.5464322045 2053146.404109589 6.881 7.008
8 2020-05-07T03:23:51.956Z 14379307 98 2051549.0084177486 1996017.0738478624 7.009 7.204
9 2020-05-07T03:23:59.161Z 14184248 98 1968667.3143650242 2022276.5896777872 7.205 7.014
10 2020-05-07T03:24:06.176Z 14387371 98 2050943.834640057 2005488.0122665178 7.015 7.174
11 2020-05-07T03:28:55.403Z 15707756 98 2159735.459920253 2058413.8382911806 7.273 7.631
12 2020-05-07T03:29:03.034Z 13380122 98 1753390.3813392739 1944502.5432349949 7.631 6.881
13 2020-05-07T03:29:09.916Z 6878111 98 999434.9026445801 996683.2343138676 6.882 6.901
14 2020-05-07T03:29:16.818Z 14742561 98 2135983.917705013 2044738.0027739252 6.902 7.21
15 2020-05-07T03:29:24.028Z 15554868 98 2157401.9417475727 2066268.331562168 7.21 7.528
16 2020-05-07T03:29:31.556Z 14294783 98 1898881.907545165 2019037.1468926554 7.528 7.08
17 2020-05-07T03:29:38.636Z 14183601 98 2003333.4745762711 2019592.9090132422 7.08 7.023
18 2020-05-07T03:29:45.660Z 15567525 98 2216333.285876993 2067674.9900385179 7.024 7.529
19 2020-05-07T03:29:53.190Z 13971118 98 1855394.1567065073 2085241.4925373134 7.53 6.7
20 2020-05-07T03:29:59.891Z 7832545 98 1168862.110132816 1711283.5918724055 6.701 4.577
21 2020-05-07T03:30:04.469Z 6073357 98 1326639.7990388814 956735.5072463768 4.578 6.348
22 2020-05-07T03:30:10.817Z 14525862 98 2288258.034026465 2007998.6176389272 6.348000000000001 7.234
23 2020-05-07T03:30:18.052Z 14107693 98 1949923.013130615 2005357.9246624021 7.235 7.035
24 2020-05-07T03:30:25.088Z 15604551 98 2217815.66230813 2117881.5146579803 7.035999999999999 7.368
25 2020-05-07T03:30:32.457Z 14863778 98 2017068.53032976 2057555.0941306755 7.369 7.224
26 2020-05-07T03:30:39.682Z 13262441 98 1835631.9723183392 1983317.0330492 7.225 6.687
27 2020-05-07T03:30:46.370Z 7433139 98 1111414.3241626795 1621539.9214659687 6.688 4.584
28 2020-05-07T03:30:50.955Z 13990176 98 3051292.4754634677 2079395.957193817 4.585 6.728
29 2020-05-07T03:30:57.684Z 13626103 98 2024981.869519988 2020477.9062870701 6.729 6.744
30 2020-05-07T03:31:04.429Z 13823840 98 2049494.4403261675 2002004.3446777696 6.745 6.905
31 2020-05-07T03:31:11.335Z 15096468 98 2185993.049522155 2064897.8251949118 6.905999999999999 7.311
32 2020-05-07T03:31:18.646Z 6941024 98 949394.6108603474 1594171.7960496095 7.311 4.354
33 2020-05-07T03:31:23.001Z 13106365 98 3009498.277841561 1986113.805121988 4.355 6.599
34 2020-05-07T03:31:29.601Z 15100468 98 2287949.6969696973 2064315.5160628844 6.599999999999999 7.315
35 2020-05-07T03:31:36.917Z 13063791 98 1785646.6648441772 2035492.5210345902 7.316 6.418
36 2020-05-07T03:31:43.335Z 15285049 98 2381590.6824555937 2086696.109215017 6.418 7.325
37 2020-05-07T03:31:50.661Z 14381752 98 1963111.1111111112 2023319.0770962297 7.326 7.108
38 2020-05-07T03:31:57.769Z 14385456 98 2023840.1800787845 2063318.4165232356 7.108 6.972
39 2020-05-07T03:32:04.742Z 15749228 98 2258601.462785028 2096821.7281320728 6.973 7.511
40 2020-05-07T03:32:12.253Z 15428127 98 2054070.9625882038 2090815.422143922 7.511 7.379
41 2020-05-07T03:32:19.632Z 15144990 98 2052444.7757148666 2044134.1611553517 7.379 7.409
42 2020-05-07T03:32:27.041Z 14583404 98 1968336.3476852477 2025472.7777777778 7.409 7.2
43 2020-05-07T03:24:13.350Z 15004555 98 2091518.6785614719 2088607.3218262806 7.174 7.184
44 2020-05-07T03:24:20.535Z 14925983 98 2077381.0716771053 2053657.5399009357 7.185 7.268
45 2020-05-07T03:24:27.804Z 13014161 98 1790364.699408447 1998182.2508828498 7.269 6.513
46 2020-05-07T03:24:34.317Z 16146923 98 2479183.632734531 2078111.0682110684 6.513 7.77
47 2020-05-07T03:24:42.088Z 13374016 98 1721016.0854458886 1986043.362043362 7.771 6.734
48 2020-05-07T03:24:48.823Z 15477914 98 2298131.2546399403 2025639.8377175762 6.735000000000001 7.641
49 2020-05-07T03:24:56.464Z 12597108 98 1648620.3376521398 2007187.380497132 7.641 6.276
50 2020-05-07T03:25:02.740Z 13782492 98 2196063.09751434 1937920.6974128233 6.276000000000001 7.112
51 2020-05-07T03:25:09.853Z 7213889 98 1014183.7480669196 967528.0311158798 7.113 7.456
52 2020-05-07T03:25:17.310Z 14092413 98 1889823.387421215 2002047.5919874983 7.457 7.039
53 2020-05-07T03:25:24.350Z 14796312 98 2101748.8636363638 2024950.3216094156 7.039999999999999 7.307
54 2020-05-07T03:25:31.658Z 6310417 98 863494.389709907 921363.2647101766 7.308 6.849
55 2020-05-07T03:25:38.507Z 14718972 98 2149068.7691633813 1964363.0054717737 6.849000000000001 7.493
56 2020-05-07T03:25:46.001Z 14969131 98 1997482.1190285562 1932747.708198838 7.494 7.745
57 2020-05-07T03:25:53.747Z 13218216 98 1706457.0100697132 1866979.6610169492 7.746 7.08
58 2020-05-07T03:26:00.828Z 14656519 98 2069837.4523372403 2074818.657984145 7.081 7.064
59 2020-05-07T03:26:07.892Z 14199628 98 2010139.8640996602 2013845.979293717 7.064 7.051
60 2020-05-07T03:26:14.943Z 6896315 98 978061.9770245355 1001643.427741467 7.051 6.885
61 2020-05-07T03:26:21.828Z 13912333 98 2020672.9121278143 2026855.0407925409 6.885 6.864
62 2020-05-07T03:26:28.692Z 14618759 98 2129772.5815850818 2075938.5117864243 6.864 7.042
63 2020-05-07T03:26:35.735Z 15481351 98 2198118.8414028115 2093205.922120065 7.042999999999999 7.396
64 2020-05-07T03:26:43.132Z 14774041 98 1997301.74395025 2064278.4686321085 7.397 7.157
65 2020-05-07T03:26:50.289Z 14546853 98 2032535.0006986167 2083181.0110267794 7.157 6.983
66 2020-05-07T03:26:57.273Z 14626747 98 2094322.3081328752 2041986.1789752897 6.984 7.163
67 2020-05-07T03:27:04.436Z 14275339 98 1992927.404718693 2026595.5423055084 7.163 7.044
68 2020-05-07T03:27:11.480Z 15698454 98 2228627.768313458 1176354.7396028475 7.0440000000000005 13.345
69 2020-05-07T03:27:24.826Z 13813029 98 1034993.9307657725 2045465.5708573966 13.346 6.753
70 2020-05-07T03:27:31.580Z 14522315 98 2150179.893396506 2069000.5698817496 6.753999999999999 7.019
71 2020-05-07T03:27:38.600Z 7565261 98 1077672.507122507 1654332.1670675704 7.0200000000000005 4.573
72 2020-05-07T03:27:43.174Z 7667792 98 1676386.5325754264 1760687.0264064292 4.574 4.355
73 2020-05-07T03:27:47.530Z 12688877 98 2912965.3351698807 1971853.4576534578 4.356 6.435
74 2020-05-07T03:27:53.966Z 16066350 98 2496325.357364823 2091155.7985162046 6.435999999999999 7.683
75 2020-05-07T03:28:01.649Z 7019375 98 913624.235324743 1689786.9523350988 7.683 4.154
76 2020-05-07T03:28:05.804Z 14776615 98 3556345.367027677 2028918.7148153232 4.155 7.283
77 2020-05-07T03:28:13.088Z 13984887 98 1919946.046128501 2019769.9306759099 7.284 6.924
78 2020-05-07T03:28:20.013Z 14696583 98 2122250.2527075815 2050018.5520993166 6.924999999999999 7.169
79 2020-05-07T03:28:27.182Z 14825128 98 2067949.2258334497 2021975.9956355703 7.169 7.332
80 2020-05-07T03:28:34.515Z 14232487 98 1940881.9037228965 2081685.9733801375 7.333 6.837
81 2020-05-07T03:28:41.352Z 13776030 98 2014923.2119350594 2032462.3782826795 6.837 6.778
82 2020-05-07T03:28:48.130Z 14983521 98 2210610.9471820598 2060440.1815181517 6.778 7.272

82
benchmarking/queries/taxi_q3.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T03:33:50.494Z,15097860,98,0.0,799886.6225165563,0.0,18.875
2020-05-07T03:34:09.386Z,14612198,98,773459.5596019479,1012486.0033259423,18.892,14.432
2020-05-07T03:34:23.819Z,6567787,98,455053.48853322247,534836.0749185669,14.433,12.279999999999998
2020-05-07T03:34:36.100Z,12528177,98,1020126.781206742,907050.1737619461,12.281,13.812
2020-05-07T03:34:49.912Z,13724125,98,993637.778743122,1003005.5543374991,13.812,13.683
2020-05-07T03:35:03.596Z,13686520,98,1000184.1566793335,1001721.4374588304,13.684,13.663
2020-05-07T03:35:17.260Z,14388450,98,1053018.881733021,995740.4844290658,13.664000000000001,14.45
2020-05-07T03:35:31.711Z,14379307,98,995038.8900422116,1016852.202814511,14.451,14.141
2020-05-07T03:35:45.852Z,14184248,98,1003058.340994272,998820.3647630449,14.141,14.201
2020-05-07T03:36:00.053Z,14387371,98,1013123.794099007,1003233.4565232551,14.201,14.341
2020-05-07T03:45:22.452Z,15707756,98,1098982.4389561324,1042388.7451058464,14.293,15.069
2020-05-07T03:45:37.523Z,13380122,98,887805.8522991175,1004287.4727914133,15.071,13.323
2020-05-07T03:45:50.847Z,6878111,98,516219.6787751426,604562.8021446778,13.324,11.377
2020-05-07T03:46:02.225Z,14742561,98,1295707.5936016873,1027857.5611796696,11.378000000000002,14.343
2020-05-07T03:46:16.568Z,15554868,98,1084491.9472913616,1020995.6022317033,14.343,15.235
2020-05-07T03:46:31.804Z,14294783,98,938224.1401942767,1035328.673861085,15.236,13.807
2020-05-07T03:46:45.612Z,14183601,98,1027201.6946697567,1029288.8969521045,13.808,13.78
2020-05-07T03:46:59.392Z,15567525,98,1129718.795355588,1019484.2829076621,13.779999999999998,15.27
2020-05-07T03:47:14.662Z,13971118,98,914938.9652914212,1028346.6804063006,15.27,13.586
2020-05-07T03:47:28.249Z,7832545,98,576473.4672849047,928246.6224223749,13.587,8.438
2020-05-07T03:47:36.688Z,6073357,98,719677.3314373741,590334.0785381027,8.439,10.288
2020-05-07T03:47:46.977Z,14525862,98,1411785.596267859,1024390.832157969,10.289,14.18
2020-05-07T03:48:01.158Z,14107693,98,994830.6184331148,1020521.7737268519,14.181,13.824
2020-05-07T03:48:14.983Z,15604551,98,1128719.7830018084,1034098.8071570577,13.824999999999998,15.09
2020-05-07T03:48:30.074Z,14863778,98,984943.2111854749,1036670.2468963594,15.091,14.338
2020-05-07T03:48:44.412Z,13262441,98,924985.4233505371,999505.6899540282,14.338,13.269
2020-05-07T03:48:57.681Z,7433139,98,560188.3337101515,917444.9518637373,13.269,8.102
2020-05-07T03:49:05.784Z,13990176,98,1726542.7619400222,1007357.1428571428,8.103,13.888
2020-05-07T03:49:19.672Z,13626103,98,981142.2091013825,995041.8431429822,13.888,13.694
2020-05-07T03:49:33.366Z,13823840,98,1009481.5247553672,1023230.1998519616,13.694,13.51
2020-05-07T03:49:46.877Z,15096468,98,1117346.45844127,1039415.3125860645,13.511000000000001,14.524
2020-05-07T03:50:01.401Z,6941024,98,477900.30294684664,883981.6607233825,14.524,7.852000000000001
2020-05-07T03:50:09.253Z,13106365,98,1669175.369332654,1019791.86118892,7.852000000000001,12.852
2020-05-07T03:50:22.105Z,15100468,98,1174950.8247743542,1039261.3902271164,12.852,14.53
2020-05-07T03:50:36.635Z,13063791,98,899090.9153475568,1020847.9331093224,14.53,12.797
2020-05-07T03:50:49.433Z,15285049,98,1194331.0673542742,1028603.5666218036,12.797999999999998,14.86
2020-05-07T03:51:04.293Z,14381752,98,967816.4199192463,1028443.3638443936,14.86,13.984
2020-05-07T03:51:18.277Z,14385456,98,1028708.23798627,1028634.6800143011,13.984,13.985
2020-05-07T03:51:32.263Z,15749228,98,1126070.928070928,1040927.1645736946,13.986,15.13
2020-05-07T03:51:47.393Z,15428127,98,1019704.3621943159,1033918.1745074387,15.13,14.922
2020-05-07T03:52:02.315Z,15144990,98,1014943.7072778448,1017808.4677419354,14.922,14.88
2020-05-07T03:52:17.195Z,14583404,98,980067.4731182795,1016194.2721761549,14.88,14.351
2020-05-07T03:36:14.395Z,15004555,98,1046196.8344721795,1012521.4251973816,14.342,14.819
2020-05-07T03:36:29.214Z,14925983,98,1007219.313044065,995862.2231118229,14.819,14.988
2020-05-07T03:36:44.203Z,13014161,98,868247.4481286276,1002322.9359211337,14.989,12.984
2020-05-07T03:36:57.188Z,16146923,98,1243505.8144012322,1027092.6149736022,12.985,15.721
2020-05-07T03:37:12.909Z,13374016,98,850710.2601615674,981363.076019959,15.721,13.628
2020-05-07T03:37:26.537Z,15477914,98,1135743.6160845319,1041021.9262846381,13.628,14.868
2020-05-07T03:37:41.406Z,12597108,98,847206.1335664806,996685.4972703537,14.869,12.639
2020-05-07T03:37:54.046Z,13782492,98,1090387.0253164556,1010743.0331475507,12.64,13.636
2020-05-07T03:38:07.683Z,7213889,98,528993.8402874533,592613.8996138996,13.637,12.173
2020-05-07T03:38:19.857Z,14092413,98,1157582.7994085758,1003518.6925870541,12.174,14.043
2020-05-07T03:38:33.901Z,14796312,98,1053568.2141839932,1036228.8675677568,14.044,14.279
2020-05-07T03:38:48.180Z,6310417,98,441936.9003431613,580108.2000367715,14.279,10.878
2020-05-07T03:38:59.059Z,14718972,98,1352971.0451328247,1031245.8488054369,10.879,14.273
2020-05-07T03:39:13.332Z,14969131,98,1048772.5775940588,1032852.4805078313,14.272999999999998,14.493
2020-05-07T03:39:27.825Z,13218216,98,912041.3992962119,999033.78429446,14.493,13.231
2020-05-07T03:39:41.057Z,14656519,98,1107657.1191051996,1016261.1981694633,13.232,14.422
2020-05-07T03:39:55.479Z,14199628,98,984581.0567189016,1028511.3718673041,14.422,13.806
2020-05-07T03:40:09.286Z,6896315,98,499479.61179112043,569990.4950822382,13.807,12.099
2020-05-07T03:40:21.386Z,13912333,98,1149779.5867768596,1029475.5808790884,12.1,13.514
2020-05-07T03:40:34.901Z,14618759,98,1081669.182389937,1032179.552354727,13.515,14.163
2020-05-07T03:40:49.064Z,15481351,98,1093084.1629598248,1041463.2357887656,14.163000000000002,14.865
2020-05-07T03:41:03.929Z,14774041,98,993880.9956273125,1013934.596115572,14.865,14.571
2020-05-07T03:41:18.501Z,14546853,98,998274.293164974,1041888.9127632144,14.572,13.962
2020-05-07T03:41:32.464Z,14626747,98,1047536.131203896,1036769.7051318401,13.963,14.108
2020-05-07T03:41:46.573Z,14275339,98,1011789.566943086,1029001.5858141715,14.109,13.873
2020-05-07T03:42:00.447Z,15698454,98,1131501.6577771371,674766.9890393295,13.873999999999999,23.265
2020-05-07T03:42:23.712Z,13813029,98,593725.7253384913,1026838.3140053523,23.265,13.452
2020-05-07T03:42:37.164Z,14522315,98,1079565.492120131,1032661.2387115124,13.451999999999998,14.063
2020-05-07T03:42:51.227Z,7565261,98,537954.9882670838,939550.5464480874,14.063000000000002,8.052
2020-05-07T03:42:59.280Z,7667792,98,952165.9009064944,905716.0406331208,8.053,8.466
2020-05-07T03:43:07.746Z,12688877,98,1498804.2759272384,1004502.6124129196,8.466,12.632
2020-05-07T03:43:20.379Z,16066350,98,1271776.3001662313,1035136.2669931061,12.633,15.521
2020-05-07T03:43:35.901Z,7019375,98,452221.04110295064,896242.9775280899,15.522,7.832
2020-05-07T03:43:43.734Z,14776615,98,1886456.657730116,1014041.6552292068,7.833,14.572
2020-05-07T03:43:58.306Z,13984887,98,959709.5113917101,1012224.0156340474,14.572,13.816
2020-05-07T03:44:12.122Z,14696583,98,1063736.4649681528,1027661.2125026222,13.816,14.301
2020-05-07T03:44:26.424Z,14825128,98,1036577.2619214096,1035346.6024163698,14.302,14.319
2020-05-07T03:44:40.743Z,14232487,98,993958.1674697953,1027839.0265039359,14.319,13.847
2020-05-07T03:44:54.591Z,13776030,98,994802.8596187175,1015332.399764151,13.848,13.568
2020-05-07T03:45:08.159Z,14983521,98,1104327.9038915094,1048311.8309662073,13.568,14.293
1 2020-05-07T03:33:50.494Z 15097860 98 0.0 799886.6225165563 0.0 18.875
2 2020-05-07T03:34:09.386Z 14612198 98 773459.5596019479 1012486.0033259423 18.892 14.432
3 2020-05-07T03:34:23.819Z 6567787 98 455053.48853322247 534836.0749185669 14.433 12.279999999999998
4 2020-05-07T03:34:36.100Z 12528177 98 1020126.781206742 907050.1737619461 12.281 13.812
5 2020-05-07T03:34:49.912Z 13724125 98 993637.778743122 1003005.5543374991 13.812 13.683
6 2020-05-07T03:35:03.596Z 13686520 98 1000184.1566793335 1001721.4374588304 13.684 13.663
7 2020-05-07T03:35:17.260Z 14388450 98 1053018.881733021 995740.4844290658 13.664000000000001 14.45
8 2020-05-07T03:35:31.711Z 14379307 98 995038.8900422116 1016852.202814511 14.451 14.141
9 2020-05-07T03:35:45.852Z 14184248 98 1003058.340994272 998820.3647630449 14.141 14.201
10 2020-05-07T03:36:00.053Z 14387371 98 1013123.794099007 1003233.4565232551 14.201 14.341
11 2020-05-07T03:45:22.452Z 15707756 98 1098982.4389561324 1042388.7451058464 14.293 15.069
12 2020-05-07T03:45:37.523Z 13380122 98 887805.8522991175 1004287.4727914133 15.071 13.323
13 2020-05-07T03:45:50.847Z 6878111 98 516219.6787751426 604562.8021446778 13.324 11.377
14 2020-05-07T03:46:02.225Z 14742561 98 1295707.5936016873 1027857.5611796696 11.378000000000002 14.343
15 2020-05-07T03:46:16.568Z 15554868 98 1084491.9472913616 1020995.6022317033 14.343 15.235
16 2020-05-07T03:46:31.804Z 14294783 98 938224.1401942767 1035328.673861085 15.236 13.807
17 2020-05-07T03:46:45.612Z 14183601 98 1027201.6946697567 1029288.8969521045 13.808 13.78
18 2020-05-07T03:46:59.392Z 15567525 98 1129718.795355588 1019484.2829076621 13.779999999999998 15.27
19 2020-05-07T03:47:14.662Z 13971118 98 914938.9652914212 1028346.6804063006 15.27 13.586
20 2020-05-07T03:47:28.249Z 7832545 98 576473.4672849047 928246.6224223749 13.587 8.438
21 2020-05-07T03:47:36.688Z 6073357 98 719677.3314373741 590334.0785381027 8.439 10.288
22 2020-05-07T03:47:46.977Z 14525862 98 1411785.596267859 1024390.832157969 10.289 14.18
23 2020-05-07T03:48:01.158Z 14107693 98 994830.6184331148 1020521.7737268519 14.181 13.824
24 2020-05-07T03:48:14.983Z 15604551 98 1128719.7830018084 1034098.8071570577 13.824999999999998 15.09
25 2020-05-07T03:48:30.074Z 14863778 98 984943.2111854749 1036670.2468963594 15.091 14.338
26 2020-05-07T03:48:44.412Z 13262441 98 924985.4233505371 999505.6899540282 14.338 13.269
27 2020-05-07T03:48:57.681Z 7433139 98 560188.3337101515 917444.9518637373 13.269 8.102
28 2020-05-07T03:49:05.784Z 13990176 98 1726542.7619400222 1007357.1428571428 8.103 13.888
29 2020-05-07T03:49:19.672Z 13626103 98 981142.2091013825 995041.8431429822 13.888 13.694
30 2020-05-07T03:49:33.366Z 13823840 98 1009481.5247553672 1023230.1998519616 13.694 13.51
31 2020-05-07T03:49:46.877Z 15096468 98 1117346.45844127 1039415.3125860645 13.511000000000001 14.524
32 2020-05-07T03:50:01.401Z 6941024 98 477900.30294684664 883981.6607233825 14.524 7.852000000000001
33 2020-05-07T03:50:09.253Z 13106365 98 1669175.369332654 1019791.86118892 7.852000000000001 12.852
34 2020-05-07T03:50:22.105Z 15100468 98 1174950.8247743542 1039261.3902271164 12.852 14.53
35 2020-05-07T03:50:36.635Z 13063791 98 899090.9153475568 1020847.9331093224 14.53 12.797
36 2020-05-07T03:50:49.433Z 15285049 98 1194331.0673542742 1028603.5666218036 12.797999999999998 14.86
37 2020-05-07T03:51:04.293Z 14381752 98 967816.4199192463 1028443.3638443936 14.86 13.984
38 2020-05-07T03:51:18.277Z 14385456 98 1028708.23798627 1028634.6800143011 13.984 13.985
39 2020-05-07T03:51:32.263Z 15749228 98 1126070.928070928 1040927.1645736946 13.986 15.13
40 2020-05-07T03:51:47.393Z 15428127 98 1019704.3621943159 1033918.1745074387 15.13 14.922
41 2020-05-07T03:52:02.315Z 15144990 98 1014943.7072778448 1017808.4677419354 14.922 14.88
42 2020-05-07T03:52:17.195Z 14583404 98 980067.4731182795 1016194.2721761549 14.88 14.351
43 2020-05-07T03:36:14.395Z 15004555 98 1046196.8344721795 1012521.4251973816 14.342 14.819
44 2020-05-07T03:36:29.214Z 14925983 98 1007219.313044065 995862.2231118229 14.819 14.988
45 2020-05-07T03:36:44.203Z 13014161 98 868247.4481286276 1002322.9359211337 14.989 12.984
46 2020-05-07T03:36:57.188Z 16146923 98 1243505.8144012322 1027092.6149736022 12.985 15.721
47 2020-05-07T03:37:12.909Z 13374016 98 850710.2601615674 981363.076019959 15.721 13.628
48 2020-05-07T03:37:26.537Z 15477914 98 1135743.6160845319 1041021.9262846381 13.628 14.868
49 2020-05-07T03:37:41.406Z 12597108 98 847206.1335664806 996685.4972703537 14.869 12.639
50 2020-05-07T03:37:54.046Z 13782492 98 1090387.0253164556 1010743.0331475507 12.64 13.636
51 2020-05-07T03:38:07.683Z 7213889 98 528993.8402874533 592613.8996138996 13.637 12.173
52 2020-05-07T03:38:19.857Z 14092413 98 1157582.7994085758 1003518.6925870541 12.174 14.043
53 2020-05-07T03:38:33.901Z 14796312 98 1053568.2141839932 1036228.8675677568 14.044 14.279
54 2020-05-07T03:38:48.180Z 6310417 98 441936.9003431613 580108.2000367715 14.279 10.878
55 2020-05-07T03:38:59.059Z 14718972 98 1352971.0451328247 1031245.8488054369 10.879 14.273
56 2020-05-07T03:39:13.332Z 14969131 98 1048772.5775940588 1032852.4805078313 14.272999999999998 14.493
57 2020-05-07T03:39:27.825Z 13218216 98 912041.3992962119 999033.78429446 14.493 13.231
58 2020-05-07T03:39:41.057Z 14656519 98 1107657.1191051996 1016261.1981694633 13.232 14.422
59 2020-05-07T03:39:55.479Z 14199628 98 984581.0567189016 1028511.3718673041 14.422 13.806
60 2020-05-07T03:40:09.286Z 6896315 98 499479.61179112043 569990.4950822382 13.807 12.099
61 2020-05-07T03:40:21.386Z 13912333 98 1149779.5867768596 1029475.5808790884 12.1 13.514
62 2020-05-07T03:40:34.901Z 14618759 98 1081669.182389937 1032179.552354727 13.515 14.163
63 2020-05-07T03:40:49.064Z 15481351 98 1093084.1629598248 1041463.2357887656 14.163000000000002 14.865
64 2020-05-07T03:41:03.929Z 14774041 98 993880.9956273125 1013934.596115572 14.865 14.571
65 2020-05-07T03:41:18.501Z 14546853 98 998274.293164974 1041888.9127632144 14.572 13.962
66 2020-05-07T03:41:32.464Z 14626747 98 1047536.131203896 1036769.7051318401 13.963 14.108
67 2020-05-07T03:41:46.573Z 14275339 98 1011789.566943086 1029001.5858141715 14.109 13.873
68 2020-05-07T03:42:00.447Z 15698454 98 1131501.6577771371 674766.9890393295 13.873999999999999 23.265
69 2020-05-07T03:42:23.712Z 13813029 98 593725.7253384913 1026838.3140053523 23.265 13.452
70 2020-05-07T03:42:37.164Z 14522315 98 1079565.492120131 1032661.2387115124 13.451999999999998 14.063
71 2020-05-07T03:42:51.227Z 7565261 98 537954.9882670838 939550.5464480874 14.063000000000002 8.052
72 2020-05-07T03:42:59.280Z 7667792 98 952165.9009064944 905716.0406331208 8.053 8.466
73 2020-05-07T03:43:07.746Z 12688877 98 1498804.2759272384 1004502.6124129196 8.466 12.632
74 2020-05-07T03:43:20.379Z 16066350 98 1271776.3001662313 1035136.2669931061 12.633 15.521
75 2020-05-07T03:43:35.901Z 7019375 98 452221.04110295064 896242.9775280899 15.522 7.832
76 2020-05-07T03:43:43.734Z 14776615 98 1886456.657730116 1014041.6552292068 7.833 14.572
77 2020-05-07T03:43:58.306Z 13984887 98 959709.5113917101 1012224.0156340474 14.572 13.816
78 2020-05-07T03:44:12.122Z 14696583 98 1063736.4649681528 1027661.2125026222 13.816 14.301
79 2020-05-07T03:44:26.424Z 14825128 98 1036577.2619214096 1035346.6024163698 14.302 14.319
80 2020-05-07T03:44:40.743Z 14232487 98 993958.1674697953 1027839.0265039359 14.319 13.847
81 2020-05-07T03:44:54.591Z 13776030 98 994802.8596187175 1015332.399764151 13.848 13.568
82 2020-05-07T03:45:08.159Z 14983521 98 1104327.9038915094 1048311.8309662073 13.568 14.293

82
benchmarking/queries/taxi_q4.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
2020-05-07T03:57:51.948Z,15097860,98,0.0,769396.1168017122,0.0,19.623
2020-05-07T03:58:11.585Z,14612198,98,744115.598105617,921963.404631207,19.637,15.849
2020-05-07T03:58:27.435Z,6567787,98,414371.41955835966,507478.51954875595,15.849999999999998,12.942
2020-05-07T03:58:40.378Z,12528177,98,967950.0115892761,871101.1681268252,12.943,14.382
2020-05-07T03:58:54.761Z,13724125,98,954190.7112563443,905643.7244291937,14.383,15.154
2020-05-07T03:59:09.916Z,13686520,98,903102.6064005279,898419.3251936458,15.155,15.234
2020-05-07T03:59:25.151Z,14388450,98,944433.8693797177,878898.6622686458,15.235,16.371
2020-05-07T03:59:41.523Z,14379307,98,878286.5257757147,901241.4290191162,16.372,15.955
2020-05-07T03:59:57.479Z,14184248,98,888960.1403860617,880790.3626428217,15.956,16.104
2020-05-07T04:00:13.584Z,14387371,98,893348.0906550761,897415.8557884231,16.105,16.032
2020-05-07T04:10:44.895Z,15707756,98,953835.0740830702,918582.2222222221,16.468,17.1
2020-05-07T04:11:01.995Z,13380122,98,782463.2748538011,857480.2614714176,17.1,15.604
2020-05-07T04:11:17.600Z,6878111,98,440763.2809996796,530104.8940269749,15.605,12.975000000000001
2020-05-07T04:11:30.575Z,14742561,98,1136228.2080924856,914097.2842261904,12.975,16.128
2020-05-07T04:11:46.704Z,15554868,98,964403.7448074896,918178.8560297503,16.129,16.941
2020-05-07T04:12:03.645Z,14294783,98,843798.0638687209,903475.0979648591,16.941,15.822
2020-05-07T04:12:19.467Z,14183601,98,896448.0470231324,908215.4703208042,15.822,15.617
2020-05-07T04:12:35.084Z,15567525,98,996831.977972722,919305.8344159678,15.617,16.934
2020-05-07T04:12:52.018Z,13971118,98,825033.5419865359,898290.8763582588,16.934,15.553
2020-05-07T04:13:07.571Z,7832545,98,503603.4848582267,746881.3769428816,15.553,10.487
2020-05-07T04:13:18.059Z,6073357,98,579076.754385965,512952.4493243243,10.488,11.84
2020-05-07T04:13:29.900Z,14525862,98,1226742.8426653156,910369.8922035599,11.840999999999998,15.956
2020-05-07T04:13:45.856Z,14107693,98,884162.2587114566,901622.8670032594,15.956,15.647
2020-05-07T04:14:01.503Z,15604551,98,997287.0837860293,900747.5756176402,15.647,17.324
2020-05-07T04:14:18.827Z,14863778,98,857987.6471946432,900835.0303030303,17.324,16.5
2020-05-07T04:14:35.327Z,13262441,98,803784.303030303,890216.2035172506,16.5,14.898000000000001
2020-05-07T04:14:50.226Z,7433139,98,498901.87260889995,749006.3482466748,14.899,9.924
2020-05-07T04:15:00.151Z,13990176,98,1409589.5214105793,899053.7883169462,9.925,15.561
2020-05-07T04:15:15.712Z,13626103,98,875657.2842362316,894805.8182295772,15.561,15.228
2020-05-07T04:15:30.940Z,13823840,98,907790.9114788547,892666.9249644841,15.228,15.486
2020-05-07T04:15:46.426Z,15096468,98,974846.1836497481,912669.6088507345,15.486,16.541
2020-05-07T04:16:02.967Z,6941024,98,419625.4156338794,703672.3438767234,16.541,9.864
2020-05-07T04:16:12.831Z,13106365,98,1328706.914030819,884310.43789218,9.864,14.821
2020-05-07T04:16:27.652Z,15100468,98,1018856.2175291816,918687.5950599257,14.821,16.437
2020-05-07T04:16:44.090Z,13063791,98,794731.1716753864,886221.4910793026,16.438,14.741
2020-05-07T04:16:58.832Z,15285049,98,1036836.8606701939,903531.8909972217,14.742,16.917
2020-05-07T04:17:15.750Z,14381752,98,850085.8257477244,898747.1566054244,16.918,16.002
2020-05-07T04:17:31.752Z,14385456,98,898978.6276715411,906855.9541070416,16.002,15.863
2020-05-07T04:17:47.615Z,15749228,98,992827.838366009,928774.4294391696,15.863,16.957
2020-05-07T04:18:04.573Z,15428127,98,909784.5854463971,921577.3848635087,16.958,16.741
2020-05-07T04:18:21.314Z,15144990,98,904664.5959022759,915326.3628671583,16.741,16.546
2020-05-07T04:18:37.861Z,14583404,98,881332.205233577,895621.445679543,16.547,16.283
2020-05-07T04:00:29.617Z,15004555,98,935854.4876192851,938312.4882746545,16.033,15.991
2020-05-07T04:00:45.608Z,14925983,98,933398.974423113,935446.4151416395,15.991,15.956
2020-05-07T04:01:01.565Z,13014161,98,815576.925487247,871912.166688999,15.957,14.926
2020-05-07T04:01:16.492Z,16146923,98,1081725.9328733168,938665.4458783861,14.927,17.202
2020-05-07T04:01:33.695Z,13374016,98,777423.4726501192,900971.1668014013,17.203,14.844
2020-05-07T04:01:48.540Z,15477914,98,1042634.8265409229,938225.9804812997,14.845,16.497
2020-05-07T04:02:05.037Z,12597108,98,763599.9272595018,885187.8293865505,16.497,14.231
2020-05-07T04:02:19.269Z,13782492,98,968415.6829679596,910697.2380071363,14.232,15.134
2020-05-07T04:02:34.405Z,7213889,98,476604.717230444,543337.2749868194,15.136,13.277
2020-05-07T04:02:47.682Z,14092413,98,1061415.4552986368,909951.1202944405,13.277,15.487
2020-05-07T04:03:03.170Z,14796312,98,955340.3925619835,924422.8414344621,15.488,16.006
2020-05-07T04:03:19.177Z,6310417,98,394228.5874929718,522212.59516716324,16.007,12.084
2020-05-07T04:03:31.262Z,14718972,98,1217953.8270583367,923862.1641978408,12.085,15.932
2020-05-07T04:03:47.195Z,14969131,98,939504.8641184962,911251.6588543252,15.933,16.427
2020-05-07T04:04:03.623Z,13218216,98,804615.0474799123,886414.6995708154,16.428,14.912
2020-05-07T04:04:18.536Z,14656519,98,982801.5154563133,898566.5501808595,14.913,16.311
2020-05-07T04:04:34.847Z,14199628,98,870555.330758384,930940.0118009571,16.311,15.253
2020-05-07T04:04:50.100Z,6896315,98,452128.4337507376,529955.8134173519,15.253,13.012999999999998
2020-05-07T04:05:03.114Z,13912333,98,1069028.2003995697,914563.0423349987,13.014,15.212
2020-05-07T04:05:18.326Z,14618759,98,961001.7749145412,912930.6813214263,15.212,16.013
2020-05-07T04:05:34.340Z,15481351,98,966738.5412763832,940886.7752522182,16.014,16.454
2020-05-07T04:05:50.795Z,14774041,98,897845.092676998,921247.1783999501,16.455,16.037
2020-05-07T04:06:06.833Z,14546853,98,907024.1301907968,921269.9810006333,16.038,15.79
2020-05-07T04:06:22.624Z,14626747,98,926271.1037933,925743.4810126582,15.791,15.8
2020-05-07T04:06:38.424Z,14275339,98,903502.4683544303,922715.9847456531,15.800000000000002,15.471
2020-05-07T04:06:53.895Z,15698454,98,1014701.9585030056,630662.6225293267,15.471,24.892
2020-05-07T04:07:18.788Z,13813029,98,554896.1153737998,901987.0053545776,24.893,15.314
2020-05-07T04:07:34.102Z,14522315,98,948303.1866266162,895886.1813695249,15.314,16.21
2020-05-07T04:07:50.313Z,7565261,98,466674.5419776695,744319.264069264,16.211,10.164
2020-05-07T04:08:00.478Z,7667792,98,754332.7102803739,734181.5396399846,10.165,10.444
2020-05-07T04:08:10.923Z,12688877,98,1214827.860220201,868506.2970568105,10.445,14.61
2020-05-07T04:08:25.534Z,16066350,98,1099606.460885634,930896.923344342,14.611000000000002,17.259
2020-05-07T04:08:42.794Z,7019375,98,406684.53070683655,728528.8012454592,17.26,9.635
2020-05-07T04:08:52.430Z,14776615,98,1533480.1784973019,914111.660995979,9.636,16.165
2020-05-07T04:09:08.595Z,13984887,98,865133.7457469843,880660.3904282115,16.165,15.88
2020-05-07T04:09:24.475Z,14696583,98,925477.5188916876,897391.6468217623,15.88,16.377
2020-05-07T04:09:40.852Z,14825128,98,905240.7644867803,913721.2942989214,16.377,16.225
2020-05-07T04:09:57.077Z,14232487,98,877194.8844375962,891201.4402003756,16.225,15.97
2020-05-07T04:10:13.047Z,13776030,98,862619.2861615529,895710.6631989597,15.97,15.38
2020-05-07T04:10:28.427Z,14983521,98,974221.1313394018,909856.7524896769,15.38,16.468
1 2020-05-07T03:57:51.948Z 15097860 98 0.0 769396.1168017122 0.0 19.623
2 2020-05-07T03:58:11.585Z 14612198 98 744115.598105617 921963.404631207 19.637 15.849
3 2020-05-07T03:58:27.435Z 6567787 98 414371.41955835966 507478.51954875595 15.849999999999998 12.942
4 2020-05-07T03:58:40.378Z 12528177 98 967950.0115892761 871101.1681268252 12.943 14.382
5 2020-05-07T03:58:54.761Z 13724125 98 954190.7112563443 905643.7244291937 14.383 15.154
6 2020-05-07T03:59:09.916Z 13686520 98 903102.6064005279 898419.3251936458 15.155 15.234
7 2020-05-07T03:59:25.151Z 14388450 98 944433.8693797177 878898.6622686458 15.235 16.371
8 2020-05-07T03:59:41.523Z 14379307 98 878286.5257757147 901241.4290191162 16.372 15.955
9 2020-05-07T03:59:57.479Z 14184248 98 888960.1403860617 880790.3626428217 15.956 16.104
10 2020-05-07T04:00:13.584Z 14387371 98 893348.0906550761 897415.8557884231 16.105 16.032
11 2020-05-07T04:10:44.895Z 15707756 98 953835.0740830702 918582.2222222221 16.468 17.1
12 2020-05-07T04:11:01.995Z 13380122 98 782463.2748538011 857480.2614714176 17.1 15.604
13 2020-05-07T04:11:17.600Z 6878111 98 440763.2809996796 530104.8940269749 15.605 12.975000000000001
14 2020-05-07T04:11:30.575Z 14742561 98 1136228.2080924856 914097.2842261904 12.975 16.128
15 2020-05-07T04:11:46.704Z 15554868 98 964403.7448074896 918178.8560297503 16.129 16.941
16 2020-05-07T04:12:03.645Z 14294783 98 843798.0638687209 903475.0979648591 16.941 15.822
17 2020-05-07T04:12:19.467Z 14183601 98 896448.0470231324 908215.4703208042 15.822 15.617
18 2020-05-07T04:12:35.084Z 15567525 98 996831.977972722 919305.8344159678 15.617 16.934
19 2020-05-07T04:12:52.018Z 13971118 98 825033.5419865359 898290.8763582588 16.934 15.553
20 2020-05-07T04:13:07.571Z 7832545 98 503603.4848582267 746881.3769428816 15.553 10.487
21 2020-05-07T04:13:18.059Z 6073357 98 579076.754385965 512952.4493243243 10.488 11.84
22 2020-05-07T04:13:29.900Z 14525862 98 1226742.8426653156 910369.8922035599 11.840999999999998 15.956
23 2020-05-07T04:13:45.856Z 14107693 98 884162.2587114566 901622.8670032594 15.956 15.647
24 2020-05-07T04:14:01.503Z 15604551 98 997287.0837860293 900747.5756176402 15.647 17.324
25 2020-05-07T04:14:18.827Z 14863778 98 857987.6471946432 900835.0303030303 17.324 16.5
26 2020-05-07T04:14:35.327Z 13262441 98 803784.303030303 890216.2035172506 16.5 14.898000000000001
27 2020-05-07T04:14:50.226Z 7433139 98 498901.87260889995 749006.3482466748 14.899 9.924
28 2020-05-07T04:15:00.151Z 13990176 98 1409589.5214105793 899053.7883169462 9.925 15.561
29 2020-05-07T04:15:15.712Z 13626103 98 875657.2842362316 894805.8182295772 15.561 15.228
30 2020-05-07T04:15:30.940Z 13823840 98 907790.9114788547 892666.9249644841 15.228 15.486
31 2020-05-07T04:15:46.426Z 15096468 98 974846.1836497481 912669.6088507345 15.486 16.541
32 2020-05-07T04:16:02.967Z 6941024 98 419625.4156338794 703672.3438767234 16.541 9.864
33 2020-05-07T04:16:12.831Z 13106365 98 1328706.914030819 884310.43789218 9.864 14.821
34 2020-05-07T04:16:27.652Z 15100468 98 1018856.2175291816 918687.5950599257 14.821 16.437
35 2020-05-07T04:16:44.090Z 13063791 98 794731.1716753864 886221.4910793026 16.438 14.741
36 2020-05-07T04:16:58.832Z 15285049 98 1036836.8606701939 903531.8909972217 14.742 16.917
37 2020-05-07T04:17:15.750Z 14381752 98 850085.8257477244 898747.1566054244 16.918 16.002
38 2020-05-07T04:17:31.752Z 14385456 98 898978.6276715411 906855.9541070416 16.002 15.863
39 2020-05-07T04:17:47.615Z 15749228 98 992827.838366009 928774.4294391696 15.863 16.957
40 2020-05-07T04:18:04.573Z 15428127 98 909784.5854463971 921577.3848635087 16.958 16.741
41 2020-05-07T04:18:21.314Z 15144990 98 904664.5959022759 915326.3628671583 16.741 16.546
42 2020-05-07T04:18:37.861Z 14583404 98 881332.205233577 895621.445679543 16.547 16.283
43 2020-05-07T04:00:29.617Z 15004555 98 935854.4876192851 938312.4882746545 16.033 15.991
44 2020-05-07T04:00:45.608Z 14925983 98 933398.974423113 935446.4151416395 15.991 15.956
45 2020-05-07T04:01:01.565Z 13014161 98 815576.925487247 871912.166688999 15.957 14.926
46 2020-05-07T04:01:16.492Z 16146923 98 1081725.9328733168 938665.4458783861 14.927 17.202
47 2020-05-07T04:01:33.695Z 13374016 98 777423.4726501192 900971.1668014013 17.203 14.844
48 2020-05-07T04:01:48.540Z 15477914 98 1042634.8265409229 938225.9804812997 14.845 16.497
49 2020-05-07T04:02:05.037Z 12597108 98 763599.9272595018 885187.8293865505 16.497 14.231
50 2020-05-07T04:02:19.269Z 13782492 98 968415.6829679596 910697.2380071363 14.232 15.134
51 2020-05-07T04:02:34.405Z 7213889 98 476604.717230444 543337.2749868194 15.136 13.277
52 2020-05-07T04:02:47.682Z 14092413 98 1061415.4552986368 909951.1202944405 13.277 15.487
53 2020-05-07T04:03:03.170Z 14796312 98 955340.3925619835 924422.8414344621 15.488 16.006
54 2020-05-07T04:03:19.177Z 6310417 98 394228.5874929718 522212.59516716324 16.007 12.084
55 2020-05-07T04:03:31.262Z 14718972 98 1217953.8270583367 923862.1641978408 12.085 15.932
56 2020-05-07T04:03:47.195Z 14969131 98 939504.8641184962 911251.6588543252 15.933 16.427
57 2020-05-07T04:04:03.623Z 13218216 98 804615.0474799123 886414.6995708154 16.428 14.912
58 2020-05-07T04:04:18.536Z 14656519 98 982801.5154563133 898566.5501808595 14.913 16.311
59 2020-05-07T04:04:34.847Z 14199628 98 870555.330758384 930940.0118009571 16.311 15.253
60 2020-05-07T04:04:50.100Z 6896315 98 452128.4337507376 529955.8134173519 15.253 13.012999999999998
61 2020-05-07T04:05:03.114Z 13912333 98 1069028.2003995697 914563.0423349987 13.014 15.212
62 2020-05-07T04:05:18.326Z 14618759 98 961001.7749145412 912930.6813214263 15.212 16.013
63 2020-05-07T04:05:34.340Z 15481351 98 966738.5412763832 940886.7752522182 16.014 16.454
64 2020-05-07T04:05:50.795Z 14774041 98 897845.092676998 921247.1783999501 16.455 16.037
65 2020-05-07T04:06:06.833Z 14546853 98 907024.1301907968 921269.9810006333 16.038 15.79
66 2020-05-07T04:06:22.624Z 14626747 98 926271.1037933 925743.4810126582 15.791 15.8
67 2020-05-07T04:06:38.424Z 14275339 98 903502.4683544303 922715.9847456531 15.800000000000002 15.471
68 2020-05-07T04:06:53.895Z 15698454 98 1014701.9585030056 630662.6225293267 15.471 24.892
69 2020-05-07T04:07:18.788Z 13813029 98 554896.1153737998 901987.0053545776 24.893 15.314
70 2020-05-07T04:07:34.102Z 14522315 98 948303.1866266162 895886.1813695249 15.314 16.21
71 2020-05-07T04:07:50.313Z 7565261 98 466674.5419776695 744319.264069264 16.211 10.164
72 2020-05-07T04:08:00.478Z 7667792 98 754332.7102803739 734181.5396399846 10.165 10.444
73 2020-05-07T04:08:10.923Z 12688877 98 1214827.860220201 868506.2970568105 10.445 14.61
74 2020-05-07T04:08:25.534Z 16066350 98 1099606.460885634 930896.923344342 14.611000000000002 17.259
75 2020-05-07T04:08:42.794Z 7019375 98 406684.53070683655 728528.8012454592 17.26 9.635
76 2020-05-07T04:08:52.430Z 14776615 98 1533480.1784973019 914111.660995979 9.636 16.165
77 2020-05-07T04:09:08.595Z 13984887 98 865133.7457469843 880660.3904282115 16.165 15.88
78 2020-05-07T04:09:24.475Z 14696583 98 925477.5188916876 897391.6468217623 15.88 16.377
79 2020-05-07T04:09:40.852Z 14825128 98 905240.7644867803 913721.2942989214 16.377 16.225
80 2020-05-07T04:09:57.077Z 14232487 98 877194.8844375962 891201.4402003756 16.225 15.97
81 2020-05-07T04:10:13.047Z 13776030 98 862619.2861615529 895710.6631989597 15.97 15.38
82 2020-05-07T04:10:28.427Z 14983521 98 974221.1313394018 909856.7524896769 15.38 16.468

82
dataset/yellow_taxi_files.csv Normal file
Просмотреть файл

@ -0,0 +1,82 @@
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-12.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-01.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-02.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-03.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-04.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-05.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-06.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-07.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-08.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-09.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-10.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-11.csv
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-12.csv
1 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-01.csv
2 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-02.csv
3 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-03.csv
4 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-04.csv
5 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-05.csv
6 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-06.csv
7 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-07.csv
8 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-08.csv
9 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-09.csv
10 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-10.csv
11 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-11.csv
12 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2009-12.csv
13 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-01.csv
14 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-04.csv
15 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-05.csv
16 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-06.csv
17 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-07.csv
18 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-08.csv
19 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-09.csv
20 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-10.csv
21 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-11.csv
22 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2010-12.csv
23 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-01.csv
24 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-02.csv
25 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-03.csv
26 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-04.csv
27 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-05.csv
28 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-06.csv
29 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-07.csv
30 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-08.csv
31 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-09.csv
32 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-10.csv
33 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-11.csv
34 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2011-12.csv
35 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-01.csv
36 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-02.csv
37 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-03.csv
38 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-04.csv
39 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-05.csv
40 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-06.csv
41 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-07.csv
42 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-08.csv
43 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-09.csv
44 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-10.csv
45 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-11.csv
46 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2012-12.csv
47 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-01.csv
48 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-02.csv
49 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-03.csv
50 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-04.csv
51 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-05.csv
52 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-06.csv
53 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-07.csv
54 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-08.csv
55 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-09.csv
56 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-10.csv
57 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-11.csv
58 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2013-12.csv
59 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-01.csv
60 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-02.csv
61 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-03.csv
62 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-04.csv
63 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-05.csv
64 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-06.csv
65 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-07.csv
66 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-08.csv
67 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-09.csv
68 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-10.csv
69 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-11.csv
70 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2014-12.csv
71 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-01.csv
72 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-02.csv
73 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-03.csv
74 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-04.csv
75 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-05.csv
76 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-06.csv
77 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-07.csv
78 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-08.csv
79 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-09.csv
80 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-10.csv
81 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-11.csv
82 https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2019-12.csv

23
demo/.gitignore поставляемый Normal file
Просмотреть файл

@ -0,0 +1,23 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# production
/build
# misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*

119
demo/README.md Normal file
Просмотреть файл

@ -0,0 +1,119 @@
*** This app uses React, React Router and React Responsive. ***
*** To change settings in this app, in App.js ***
1. Set themes and query descriptions in the state.
2. Create routes to display pairs of meters (CPU, FPGA) in either Grid (row, col) or Tabs components:
a. Pass selected record data sets, styled themes and query descriptions.
b. Pass scalar to set display size (defaults to 1)
c. Pass effects to turn on/off blur and saturation filters on the Meter component (defaults to true).
d. Use React Responsive Media Query with scalar for responsive scaling of the pairs of meters.
*** The Project Hierarchy (with descriptions) ***
public:
themes: (each folder contains color themed jpg and svg images for meter component)
blue:
green:
green2:
magenta:
orange:
purple:
src:
components:
App.js - loads the data, sets up the themes and query descriptions and handles the routing
Grid.jsx - composes the pairs of meters in a centered row of columns
Query.jsx - composes the paired CPU and FPGA components in a centered row of columns
CPU.jsx - presents a meter using CPU specific settings
FPGA.jsx - presents a meter using FPGA specific settings
Meter.jsx - displays a simulation of a live metering of data processing
ProgressGrower.jsx - displays a custom made progress bar
unused:
ProgressSlider.jsx - displays a custom progress spinner
Tabs.jsx - composes the pairs of meters in a tab navigation
data:
cpu.json - stores the data in the cpu csv files as arrays of records
fpga.json - stores the data in the fpgs csv files as arrays of records
models:
Record.js - a javascript class model for a row of data from the CPU and FPGA csv query files
Theme.js - a javascript class model for a styled theme for the Grid and Meter components
queries:
cpu:
fpga:
utilities:
count.js - a node js app to verify the total data processed
csv2json.js - a node js app to convert csv data files to json (reads all files in src/queries folder and writes json files to src/data folder).
*** THE FOLLOWING IS THE AUTO GENERATED README FOR PROJECTS BOOTSTRAPPED USING CREATE REACT APP ***
This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
## Available Scripts
In the project directory, you can run:
### `npm start`
Runs the app in the development mode.<br />
Open [http://localhost:3000](http://localhost:3000) to view it in the browser.
The page will reload if you make edits.<br />
You will also see any lint errors in the console.
### `npm test`
Launches the test runner in the interactive watch mode.<br />
See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
### `npm run build`
Builds the app for production to the `build` folder.<br />
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.<br />
Your app is ready to be deployed!
See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
### `npm run eject`
**Note: this is a one-way operation. Once you `eject`, you can’t go back!**
If you aren’t satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
## Learn More
You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
To learn React, check out the [React documentation](https://reactjs.org/).
### Code Splitting
This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting
### Analyzing the Bundle Size
This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
### Making a Progressive Web App
This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
### Advanced Configuration
This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration
### Deployment
This section has moved here: https://facebook.github.io/create-react-app/docs/deployment
### `npm run build` fails to minify
This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify

15420
demo/package-lock.json сгенерированный Normal file
Просмотреть файл

Разница между файлами не показана из-за своего большого размера Загрузить разницу

38
demo/package.json Normal file
Просмотреть файл

@ -0,0 +1,38 @@
{
"name": "nealanalyticsdemo",
"version": "0.1.0",
"private": true,
"dependencies": {
"@testing-library/jest-dom": "^4.2.4",
"@testing-library/react": "^9.5.0",
"@testing-library/user-event": "^7.2.1",
"axios": "^0.19.2",
"curry": "^1.2.0",
"react": "^16.13.1",
"react-dom": "^16.13.1",
"react-responsive": "^8.0.3",
"react-router-dom": "^5.1.2",
"react-scripts": "3.4.1"
},
"scripts": {
"start": "react-scripts start",
"build": "react-scripts build",
"test": "react-scripts test",
"eject": "react-scripts eject"
},
"eslintConfig": {
"extends": "react-app"
},
"browserslist": {
"production": [
">0.2%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
}
}

Двоичные данные
demo/public/favicon.ico Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 3.1 KiB

43
demo/public/index.html Normal file
Просмотреть файл

@ -0,0 +1,43 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#000000" />
<meta
name="description"
content="Web site created using create-react-app"
/>
<link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" />
<!--
manifest.json provides metadata used when your web app is installed on a
user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
-->
<link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
<!--
Notice the use of %PUBLIC_URL% in the tags above.
It will be replaced with the URL of the `public` folder during the build.
Only files inside the `public` folder can be referenced from the HTML.
Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
work correctly both with client-side routing and a non-root public URL.
Learn how to configure a non-root public URL by running `npm run build`.
-->
<title>React App</title>
</head>
<body style="background: url(themes/orange/background.jpg) no-repeat center center fixed;-webkit-background-size: cover;-moz-background-size: cover;-o-background-size: cover;background-size: cover;">
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<!--
This HTML file is a template.
If you open it directly in the browser, you will see an empty page.
You can add webfonts, meta tags, or analytics to this file.
The build step will place the bundled scripts into the <body> tag.
To begin the development, run `npm start` or `yarn start`.
To create a production bundle, use `npm run build` or `yarn build`.
-->
</body>
</html>

Двоичные данные
demo/public/logo192.png Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 5.2 KiB

Двоичные данные
demo/public/logo512.png Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 9.4 KiB

25
demo/public/manifest.json Normal file
Просмотреть файл

@ -0,0 +1,25 @@
{
"short_name": "React App",
"name": "Create React App Sample",
"icons": [
{
"src": "favicon.ico",
"sizes": "64x64 32x32 24x24 16x16",
"type": "image/x-icon"
},
{
"src": "logo192.png",
"type": "image/png",
"sizes": "192x192"
},
{
"src": "logo512.png",
"type": "image/png",
"sizes": "512x512"
}
],
"start_url": ".",
"display": "standalone",
"theme_color": "#000000",
"background_color": "#ffffff"
}

3
demo/public/robots.txt Normal file
Просмотреть файл

@ -0,0 +1,3 @@
# https://www.robotstxt.org/robotstxt.html
User-agent: *
Disallow:

Двоичные данные
demo/public/themes/blue/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/blue/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 39 KiB

1
demo/public/themes/blue/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 43 KiB

1
demo/public/themes/blue/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/blue/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#0882D8" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 696 B

1
demo/public/themes/blue/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#8CDDF7" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 709 B

1
demo/public/themes/blue/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#0882D8" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 695 B

1
demo/public/themes/blue/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#8CDDF7" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 708 B

Двоичные данные
demo/public/themes/green/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/green/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 40 KiB

1
demo/public/themes/green/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 42 KiB

1
demo/public/themes/green/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/green/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#44683A" fill-rule="evenodd"/><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#44683A" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 912 B

1
demo/public/themes/green/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#82B74F" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 709 B

1
demo/public/themes/green/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#44683A" fill-rule="evenodd"/><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#44683A" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 911 B

1
demo/public/themes/green/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#82B74F" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 708 B

Двоичные данные
demo/public/themes/green2/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/green2/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 40 KiB

1
demo/public/themes/green2/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 42 KiB

1
demo/public/themes/green2/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/green2/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#308950" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 696 B

1
demo/public/themes/green2/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#80B173" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 709 B

1
demo/public/themes/green2/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#308950" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 695 B

1
demo/public/themes/green2/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#80B173" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 708 B

Двоичные данные
demo/public/themes/magenta/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/magenta/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 40 KiB

1
demo/public/themes/magenta/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 42 KiB

1
demo/public/themes/magenta/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/magenta/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#B4009E" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 696 B

1
demo/public/themes/magenta/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#E3008C" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 724 B

1
demo/public/themes/magenta/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#B4009E" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 695 B

1
demo/public/themes/magenta/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#E3008C" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 723 B

Двоичные данные
demo/public/themes/orange/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/orange/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 34 KiB

1
demo/public/themes/orange/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 42 KiB

1
demo/public/themes/orange/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/orange/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#E16A1A" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 696 B

1
demo/public/themes/orange/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#F3AA6D" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 709 B

1
demo/public/themes/orange/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#E16A1A" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 695 B

1
demo/public/themes/orange/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#F3AA6D" fill-rule="evenodd"/><text font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 708 B

Двоичные данные
demo/public/themes/purple/background.jpg Normal file
Просмотреть файл

Двоичный файл не отображается.
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 194 KiB

1
demo/public/themes/purple/cpu.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 40 KiB

1
demo/public/themes/purple/fpga.svg Normal file
Просмотреть файл

Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 42 KiB

1
demo/public/themes/purple/needle.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="18" height="62" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M112 222 130 222 130 284 112 284Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-112 -222)"><path d="M124.478 267.398 120.375 222.774 117.887 267.269C113.798 269.031 111.911 273.773 113.672 277.861 115.434 281.95 120.176 283.837 124.264 282.076 128.353 280.314 130.24 275.573 128.479 271.484 127.7 269.675 126.286 268.215 124.504 267.377Z" fill="#FFFFFF" fill-rule="evenodd"/></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 608 B

1
demo/public/themes/purple/start cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 521 202 521 202 573 66 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -521)"><path d="M67 543.5C67 533.835 74.835 526 84.5 526L183.5 526C193.165 526 201 533.835 201 543.5L201 543.5C201 553.165 193.165 561 183.5 561L84.5 561C74.835 561 67 553.165 67 543.5Z" fill="#5059C8" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(101.401 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 696 B

1
demo/public/themes/purple/start fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 521 1247 521 1247 573 1111 573Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -521)"><path d="M1112 543.5C1112 533.835 1119.83 526 1129.5 526L1228.5 526C1238.17 526 1246 533.835 1246 543.5L1246 543.5C1246 553.165 1238.16 561 1228.5 561L1129.5 561C1119.83 561 1112 553.165 1112 543.5Z" fill="#7B83EB" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1146.16 552)">START</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 724 B

1
demo/public/themes/purple/stop cpu.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M66 567 202 567 202 619 66 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-66 -567)"><path d="M67 589.5C67 579.835 74.835 572 84.5 572L183.5 572C193.165 572 201 579.835 201 589.5L201 589.5C201 599.165 193.165 607 183.5 607L84.5 607C74.835 607 67 599.165 67 589.5Z" fill="#5059C8" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(106.061 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 695 B

1
demo/public/themes/purple/stop fpga.svg Normal file
Просмотреть файл

@ -0,0 +1 @@
<svg width="136" height="52" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><path d="M1111 567 1247 567 1247 619 1111 619Z" fill-rule="evenodd" clip-rule="evenodd"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-1111 -567)"><path d="M1112 589.5C1112 579.835 1119.83 572 1129.5 572L1228.5 572C1238.17 572 1246 579.835 1246 589.5L1246 589.5C1246 599.165 1238.16 607 1228.5 607L1129.5 607C1119.83 607 1112 599.165 1112 589.5Z" fill="#7B83EB" fill-rule="evenodd"/><text fill="#FFFFFF" font-family="Segoe UI,Segoe UI_MSFontService,sans-serif" font-weight="400" font-size="24" transform="translate(1150.82 598)">STOP</text></g></svg>
Режим "рядом"

После

Ширина:  |  Высота:  |  Размер: 723 B

7
demo/src/App.css Normal file
Просмотреть файл

@ -0,0 +1,7 @@
ul {
justify-content: center;
}
li {
list-style-type: none;
}

172
demo/src/App.js Normal file
Просмотреть файл

@ -0,0 +1,172 @@
import React from 'react';
import './App.css';
import Record from './models/Record';
import Theme from './models/Theme';
import cpu from './data/cpu.json';
import fpga from './data/fpga.json';
import Grid from './components/Grid';
import {
BrowserRouter as Router,
Switch,
Route
} from 'react-router-dom';
class App extends React.Component {
constructor(props) {
super(props);
this.state = {
recordSetsCPU: null,
recordSetsFPGA: null,
recordSetsIndex: 0,
recordSetsLoaded: false,
queryDescriptions: [
{
title: "Spark Job",
sql:
<ul>
<li>
taxi_input_df
</li>
<li>
.groupBy('payment_type')
.count()
.select('payment_type', F.col('count').alias('total'))
.show()
</li>
</ul>
},
{
title: "Query 1",
sql:
<ul>
<li>
SELECT payment_type, COUNT(*) as total
</li>
<li>
<ul>
<li>
FROM NewYorkYellowTaxi
</li>
<li>
GROUP BY payment_type
</li>
</ul>
</li>
</ul>
},
{
title: "Query 2",
sql:
<ul>
<li>
SELECT passenger_count,
</li>
<li>
AVG(total_amount) as avg_amount
</li>
<li>
<ul>
<li>
FROM $tableName
</li>
<li>
GROUP BY passenger_count
</li>
</ul>
</li>
</ul>
},
{
title: "Query 3",
sql:
<ul>
<li>
SELECT passenger_count,
</li>
<li>
year(tpep_pickup_datetime) year,
</li>
<li>
COUNT(*) total
</li>
<li>
<ul>
<li>
FROM $tableName
</li>
<li>
GROUP BY passenger_count, year
</li>
</ul>
</li>
</ul>
},
],
themes: [
new Theme('themes', 'blue', '#0882D8', '#34c1ee', '#fff', '#8CDDF7', '#8cddf7', '#000', '#042246'),
new Theme('themes', 'green', '#44683A', '#44683A', '#fff', '#82B74F', '#82B74F', '#000', '#042246'),
new Theme('themes', 'green2', '#308950', '#308950', '#fff', '#80B173', '#80B173', '#000', '#042246'),
new Theme('themes', 'magenta', '#E3008C', '#E3008C', '#fff', '#B4009E', '#B4009E', '#fff', '#042246'),
new Theme('themes', 'orange', '#EB7415', '#EB7415', '#fff', '#F3AA6D', '#F3AA6D', '#000', '#042246'),
new Theme('themes', 'purple', '#5059C8', '#5059C8', '#fff', '#7B83EB', '#7B83EB', '#fff', '#042246')
]
}
}
componentDidMount() {
this.setState({
recordSetsCPU: this.importRecordSets(cpu),
recordSetsFPGA: this.importRecordSets(fpga)
}, () => {
this.setState({
recordSetsLoaded: true
});
});
}
render() {
return this.state.recordSetsLoaded ? (
<Router>
<Switch>
<Route exact path="/">
<React.Fragment>
<Grid
effects={true}
scalar={1}
themes={[
this.state.themes[0]
]}
queryDescriptions={[
this.state.queryDescriptions[0]
]}
recordSetsCPU={[
this.state.recordSetsCPU[1]
]}
recordSetsFPGA={[
this.state.recordSetsFPGA[0]
]}
/>
</React.Fragment>
</Route>
</Switch>
</Router>
) : null
}
importRecordSets = (dataSets) => {
const recordSets = [];
const dl = dataSets.length;
for (let d = 0; d < dl; d++) {
const recordSet = [];
const dataSet = dataSets[d];
const rl = dataSet.records.length;
for (let r = 0; r < rl; r++) {
recordSet.push(Record.fromData(dataSet.records[r]));
}
recordSets.push(recordSet);
}
return recordSets;
}
}
export default App;

9
demo/src/App.test.js Normal file
Просмотреть файл

@ -0,0 +1,9 @@
import React from 'react';
import { render } from '@testing-library/react';
import App from './App';
test('renders learn react link', () => {
const { getByText } = render(<App />);
const linkElement = getByText(/learn react/i);
expect(linkElement).toBeInTheDocument();
});

27
demo/src/components/CPU.jsx Normal file
Просмотреть файл

@ -0,0 +1,27 @@
import React from 'react';
import { Meter } from './Meter';
export class CPU extends React.Component {
render() {
const theme = this.props.theme;
return (
<React.Fragment>
<Meter
effects={this.props.effects}
spec={this.props.spec ? this.props.spec : "E16v3"}
specColor={theme.cpuSpecColor}
specShift={0}
scalar={this.props.scalar}
theme={theme}
background={theme.cpu}
color={theme.cpuColor}
hoverColor={theme.cpuHoverColor}
start={theme.startCPU}
stop={theme.stopCPU}
meterRange={this.props.meterRange}
recordSet={this.props.recordSet}
/>
</React.Fragment>
)
}
}

27
demo/src/components/FPGA.jsx Normal file
Просмотреть файл

@ -0,0 +1,27 @@
import React from 'react';
import { Meter } from './Meter';
export class FPGA extends React.Component {
render() {
const theme = this.props.theme;
return (
<React.Fragment>
<Meter
effects={this.props.effects}
spec={this.props.spec ? this.props.spec : "NP10"}
specColor={theme.fpgaSpecColor}
specShift={5}
scalar={this.props.scalar}
theme={theme}
background={theme.fpga}
color={theme.fpgaColor}
hoverColor={theme.fpgaHoverColor}
start={theme.startFPGA}
stop={theme.stopFPGA}
meterRange={this.props.meterRange}
recordSet={this.props.recordSet}
/>
</React.Fragment>
)
}
}

Некоторые файлы не были показаны из-за слишком большого количества измененных файлов Показать больше