213 строки
6.9 KiB
Plaintext
213 строки
6.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# Jobagent Investigation\n",
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"1. Run all cells.\n",
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"1. View report at the bottom."
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],
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"metadata": {}
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},
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{
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"cell_type": "code",
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"source": [
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"# These are just defaults will be overwritten if you use nimport pip\n",
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"su = \"tfs-cus-3\"\n",
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"start = \"2019-07-30T15:05:00.0000000Z\"\n",
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"end = \"2019-07-30T15:39:36.0000000Z\"\n",
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"url = \"https://notebooksv2.azure.com/yaananth/projects/06OasuNRs6rK/delays.ipynb\"\n",
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"baseUrl = \"https://notebooksv2.azure.com/yaananth/projects/06OasuNRs6rK\"\n",
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"service = \"tfs\"\n",
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"hub = \"Build\"\n",
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"locationName = \"tfsprodcus3\""
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"inputHidden": false,
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"outputHidden": false,
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"tags": [
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"parameters"
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]
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}
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},
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{
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"cell_type": "code",
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"source": [
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"%%capture\n",
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"!pip install nimport azure-kusto-notebooks"
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"inputHidden": false,
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"outputHidden": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# Import the things we use\n",
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"\n",
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"# Note you can also use kql https://docs.microsoft.com/en-us/azure/data-explorer/kqlmagic\n",
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"# %kql is single line magic\n",
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"# %%kql is cell magic\n",
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"\n",
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"# https://nbviewer.jupyter.org/github/ipython/ipython/blob/4.0.x/examples/IPython%20Kernel/Rich%20Output.ipynb#HTML\n",
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"# https://ipython.readthedocs.io/en/stable/inte/magics.html\n",
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"from IPython.display import display, HTML, Markdown, Javascript, clear_output\n",
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"\n",
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"# http://pandas-docs.github.io/pandas-docs-travis/user_guide/reshaping.html\n",
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"import pandas as pd\n",
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"pd.options.display.html.table_schema = True\n",
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"from pandas import Series, DataFrame\n",
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"from datetime import datetime, timedelta, timezone\n",
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"from urllib.parse import urlencode, quote_plus\n",
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"from requests.utils import requote_uri\n",
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"import time\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"from nimport.utils import tokenize, open_nb\n",
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"import json\n",
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"import os\n",
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"import calendar as cal\n",
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"import concurrent.futures\n",
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"from azure.kusto.notebooks import utils as akn"
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"inputHidden": false,
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"outputHidden": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"params = {\n",
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" \"su\": su,\n",
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" \"start\": start,\n",
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" \"end\": end,\n",
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" \"url\": url,\n",
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" \"baseUrl\": baseUrl,\n",
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" \"service\": service\n",
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"}\n",
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"root = 'devops-pipelines' if os.path.basename(os.getcwd()) != 'devops-pipelines' else ''\n",
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"queryPath = os.path.join(root, 'queries') "
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"inputHidden": false,
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"outputHidden": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# authenticate kusto client\n",
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"# you will need to copy the token into a browser window for AAD auth. \n",
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"client = akn.get_client('https://vso.kusto.windows.net', 'VSO')"
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"inputHidden": false,
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"outputHidden": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"q_slow = os.path.join(queryPath, \"SlowActivities.csl\")\n",
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"q_sqlSlow = os.path.join(queryPath, \"SlowSql.csl\")\n",
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"\n",
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"jaPath = os.path.join(queryPath, 'ja')\n",
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"q_jobSql = os.path.join(jaPath, \"JASqlTime.csl\")\n",
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"with concurrent.futures.ThreadPoolExecutor() as executor:\n",
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" p1 = executor.submit(akn.execute_file, client, 'VSO', q_slow, params)\n",
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" p2 = executor.submit(akn.execute_file, client, 'VSO', q_sqlSlow, params)\n",
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" p3 = executor.submit(akn.execute_file, client, 'VSO', q_jobSql, params)\n",
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"\n",
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"q_slowResult_df = akn.to_dataframe_from_future(p1)\n",
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"\n",
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"q_sqlSlowResult_df = akn.to_dataframe_from_future(p2)\n",
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"\n",
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"q_jobSqlResult_df = akn.to_dataframe_from_future(p3) \n"
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"outputHidden": false,
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"inputHidden": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"print('=' * 50)\n",
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"print('Report!')\n",
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"print('=' * 50, '\\n\\n')\n",
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"\n",
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"jarvisParams = {'su': su, 'start': akn.get_time(start, -10), 'end': akn.get_time(end, 10), 'service': service }\n",
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"\n",
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"jaJarvisLink = \"\"\"https://jarvis-west.dc.ad.msft.net/dashboard/VSO-ServiceInsights/PlatformViews/Compute-JA\"\"\" \\\n",
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" \"\"\"?overrides=[{\"query\":\"//*[id='Service']\",\"key\":\"value\",\"replacement\":\"%(service)s\"},\"\"\" \\\n",
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" \"\"\"{\"query\":\"//*[id='RoleInstance']\",\"key\":\"value\",\"replacement\":\"\"},\"\"\" \\\n",
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" \"\"\"{\"query\":\"//*[id='ScaleUnit']\",\"key\":\"value\",\"replacement\":\"%(su)s\"}]\"\"\" \\\n",
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" \"\"\"&globalStartTime=%(start)s&globalEndTime=%(end)s&pinGlobalTimeRange=true\"\"\" % jarvisParams;\n",
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"print('Jarvis dashboard link for job agents:\\n', requote_uri(jaJarvisLink), '\\n')\n",
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"\n",
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"print('Top slow activities:')\n",
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"display(q_slowResult_df)\n",
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"\n",
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"print('Top sql slow activities:')\n",
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"display(q_sqlSlowResult_df)\n",
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"\n",
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"print('Top sql executime times from jobs:')\n",
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"display(q_jobSqlResult_df)"
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],
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"outputs": [],
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"outputHidden": false,
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"inputHidden": false
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}
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}
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],
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"metadata": {
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"kernel_info": {
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"name": "python3"
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},
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"kernelspec": {
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"name": "python3",
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"language": "python",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python",
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"version": "3.7.4",
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"mimetype": "text/x-python",
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"pygments_lexer": "ipython3",
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"nbconvert_exporter": "python",
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"file_extension": ".py"
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},
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"nteract": {
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"version": "0.14.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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} |