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Add a stress testing methods for streams #26

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Jan 10, 2016
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54 changes: 54 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/StreamTest.scala
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,8 @@ package org.apache.spark.sql

import java.lang.Thread.UncaughtExceptionHandler

import org.apache.spark.sql.test.SQLTestUtils.testImplicits

import scala.collection.mutable

import org.scalatest.concurrent.Timeouts
Expand All @@ -29,6 +31,9 @@ import org.apache.spark.sql.catalyst.encoders.{RowEncoder, encoderFor}
import org.apache.spark.sql.catalyst.util._
import org.apache.spark.sql.execution.streaming._

import scala.collection.mutable.ArrayBuffer
import scala.util.Random

/**
* A framework for implementing tests for streaming queries and sources.
*
Expand Down Expand Up @@ -286,4 +291,53 @@ trait StreamTest extends QueryTest with Timeouts {
}
}
}

/**
* Creates a stress test that randomly starts/stops/adds data/checks the result.
*
* @param ds a dataframe that executes + 1 on a stream of integers, returning the result.
* @param addData and add data action that adds the given numbers to the stream, encoding them
* as needed
*/
def createStressTest(ds: Dataset[Int], addData: Seq[Int] => StreamAction): Unit = {
var dataPos = 0
var running = true
val actions = new ArrayBuffer[StreamAction]()

def addCheck() = { actions += CheckAnswer(1 to dataPos: _*) }

(1 to 500).foreach { i =>
val rand = Random.nextDouble()
if(!running) {
rand match {
case r if r < 0.7 => // AddData
val numItems = Random.nextInt(10)
val data = dataPos until (dataPos + numItems)
dataPos += numItems
actions += addData(data)
case _ => // StartStream
actions += StartStream
running = true
}
} else {
rand match {
case r if r < 0.1 =>
addCheck()

case r if r < 0.7 => // AddData
val numItems = Random.nextInt(10)
val data = dataPos until (dataPos + numItems)
dataPos += numItems
actions += addData(data)

case _ => // StartStream
actions += StopStream
running = false
}
}
}
if(!running) { actions += StartStream }
addCheck()
testStream(ds)(actions: _*)
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,34 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.sql.streaming

import org.apache.spark.sql.{Dataset, StreamTest, Row}
import org.apache.spark.sql.execution.streaming._
import org.apache.spark.sql.test.SharedSQLContext

import scala.collection.mutable.ArrayBuffer
import scala.util.Random

class MemorySourceStressSuite extends StreamTest with SharedSQLContext {
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Shouldnt it be StreamExecutionStressSuite? So that its associated this suite with StreamExecution which is what this really intends to test

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My idea was that this could be used for any source (though that is implicitly also testing the stream execution).

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Well Kafka and Kinesis wont be in this testsuite. Probably only file would be in this.
Anyways this is just nits. Nvm.

test("memory stress test") {
val input = MemoryStream[Int]
val mapped = input.toDS().map(_ + 1)

createStressTest(mapped, AddData(input, _: _*))
}
}