Added Avro sample data

Examples/AvroExamples/README.md

@@ -2,9 +2,9 @@
 This example demonstrates how you can use U-SQL to analyze data stored in Avro files.
 
 ## Deploying
-The Avro Extractor requires Microsoft.Analytics.Samples.Formats and an updated version of the Microsoft.Hadoop.Avro library which can be downloaded at (https://github.com/flomader/hadoopsdk/releases).
+The Avro Extractor requires Microsoft.Analytics.Samples.Formats and an updated version of the Microsoft.Hadoop.Avro library which can be found [here](https://github.com/flomader/hadoopsdk).
 
-1. Download the latest version of Microsoft.Hadoop.Avro.zip from https://github.com/flomader/hadoopsdk/releases
+1. Download the latest version of Microsoft.Hadoop.Avro.zip from [here]( https://github.com/flomader/hadoopsdk/releases).
 2. Extract Microsoft.Hadoop.Avro.dll from Microsoft.Hadoop.Avro.zip
 3. Clone and open the Microsoft.Analytics.Samples.Formats solution in Visual Studio.
 4. Update the reference of the file Microsoft.Hadoop.Avro.dll
@@ -20,7 +20,7 @@ The Avro Extractor requires Microsoft.Analytics.Samples.Formats and an updated v
 4. register the assemblies which have previously been uploaded to ADLS by submitting 2-RegisterAssemblies.usql
 
 ### Upload sample data
-1. You can download an Avro sample file which contains twitter data from http://blob.colorslab.io/avro/twitter.avro
+1. Get an Avro sample file which contains twitter data from [here](../Samples/Data/Avro/twitter.avro).
 2. Use the Azure Data Lake Explorer (in Visual Studio, or the Azure Portal) or any other ADLS client to upload twitter.avro to a directory in Azure Data Lake Store (e.g. /TwitterStream/2016/12/twitter.avro)
 3. Check file paths in 3-SimpleAvro.usql and update them if necessary
 

Examples/Samples/Data/Avro/twitter.avsc

@@ -0,0 +1,24 @@
+{
+  "type" : "record",
+  "name" : "GenericFromIRecord0",
+  "namespace" : "Microsoft.Streaming.Avro",
+  "fields" : [ {
+    "name" : "createdat",
+    "type" : [ "null", "string" ]
+  }, {
+    "name" : "topic",
+    "type" : [ "null", "string" ]
+  }, {
+    "name" : "sentimentscore",
+    "type" : [ "null", "long" ]
+  }, {
+    "name" : "eventprocessedutctime",
+    "type" : [ "null", "string" ]
+  }, {
+    "name" : "partitionid",
+    "type" : [ "null", "long" ]
+  }, {
+    "name" : "eventenqueuedutctime",
+    "type" : [ "null", "string" ]
+  } ]
+}