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[SPARK-3054][STREAMING] Add unit tests for Spark Sink. #1958

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wants to merge 10 commits into from
7 changes: 7 additions & 0 deletions external/flume-sink/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,13 @@
<groupId>org.scalatest</groupId>
<artifactId>scalatest_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<type>test-jar</type>
<scope>test</scope> <!-- Need it only for tests, don't package it -->
</dependency>
</dependencies>
<build>
<outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,6 @@ import org.apache.flume.sink.AbstractSink
*
*/

private[flume]
class SparkSink extends AbstractSink with Logging with Configurable {
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Why was this removed? We dont want to expose this as a public class as this class will then appear in the Scala docs.

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Since this class would be called from Flume. Flume will create an instance of this class to run the sink - so theoretically it should not be private to this package.

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In that case, can you add a line right at the top that this class is not intended to be used inside Spark application. Just in case it appears in the scala docs / java docs. I will try to see how to eliminate this module from appearing in the docs.


// Size of the pool to use for holding transaction processors.
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Original file line number Diff line number Diff line change
@@ -0,0 +1,204 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
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Hey Hari, ASF header should be at the top of file :).

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Thanks! Done.

* 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.streaming.flume.sink

import java.net.InetSocketAddress
import java.util.concurrent.atomic.AtomicInteger
import java.util.concurrent.{TimeUnit, CountDownLatch, Executors}

import scala.collection.JavaConversions._
import scala.concurrent.{ExecutionContext, Future}
import scala.util.{Failure, Success}

import com.google.common.util.concurrent.ThreadFactoryBuilder
import org.apache.avro.ipc.NettyTransceiver
import org.apache.avro.ipc.specific.SpecificRequestor
import org.apache.flume.Context
import org.apache.flume.channel.MemoryChannel
import org.apache.flume.event.EventBuilder
import org.apache.spark.streaming.TestSuiteBase
import org.jboss.netty.channel.socket.nio.NioClientSocketChannelFactory

class SparkSinkSuite extends TestSuiteBase {
val eventsPerBatch = 1000
val channelCapacity = 5000

test("Success") {
val (channel, sink) = initializeChannelAndSink()
channel.start()
sink.start()

putEvents(channel, eventsPerBatch)

val port = sink.getPort
val address = new InetSocketAddress("0.0.0.0", port)

val (transceiver, client) = getTransceiverAndClient(address, 1)(0)
val events = client.getEventBatch(1000)
client.ack(events.getSequenceNumber)
assert(events.getEvents.size() === 1000)
assertChannelIsEmpty(channel)
sink.stop()
channel.stop()
transceiver.close()
}

test("Nack") {
val (channel, sink) = initializeChannelAndSink()
channel.start()
sink.start()
putEvents(channel, eventsPerBatch)

val port = sink.getPort
val address = new InetSocketAddress("0.0.0.0", port)

val (transceiver, client) = getTransceiverAndClient(address, 1)(0)
val events = client.getEventBatch(1000)
assert(events.getEvents.size() === 1000)
client.nack(events.getSequenceNumber)
assert(availableChannelSlots(channel) === 4000)
sink.stop()
channel.stop()
transceiver.close()
}

test("Timeout") {
val (channel, sink) = initializeChannelAndSink(Map(SparkSinkConfig
.CONF_TRANSACTION_TIMEOUT -> 1.toString))
channel.start()
sink.start()
putEvents(channel, eventsPerBatch)
val port = sink.getPort
val address = new InetSocketAddress("0.0.0.0", port)

val (transceiver, client) = getTransceiverAndClient(address, 1)(0)
val events = client.getEventBatch(1000)
assert(events.getEvents.size() === 1000)
Thread.sleep(1000)
assert(availableChannelSlots(channel) === 4000)
sink.stop()
channel.stop()
transceiver.close()
}

test("Multiple consumers") {
testMultipleConsumers(failSome = false)
}

test("Multiple consumers with some failures") {
testMultipleConsumers(failSome = true)
}

def testMultipleConsumers(failSome: Boolean): Unit = {
implicit val executorContext = ExecutionContext
.fromExecutorService(Executors.newFixedThreadPool(5))
val (channel, sink) = initializeChannelAndSink()
channel.start()
sink.start()
(1 to 5).foreach(_ => putEvents(channel, eventsPerBatch))
val port = sink.getPort
val address = new InetSocketAddress("0.0.0.0", port)
val transceiversAndClients = getTransceiverAndClient(address, 5)
val batchCounter = new CountDownLatch(5)
val counter = new AtomicInteger(0)
transceiversAndClients.foreach(x => {
Future {
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Why make one Future, than another Promise + Future combination? Just the single Future is sufficient.

Future {
   val events = client.getEventBatch(1000)
   if(!failSome || counter.getAndIncrement() % 2 == 0) {
       client.ack(events.getSequenceNumber)
   } else {
       client.nack(events.getSequenceNumber)
       throw new Exception("intentional exception")
   }
   events
}.onComplete { case _ => 
  batchCounter.countDown()
}.onSuccess { case events => 
  assert(events.getEvents.size() === 1000)  
}

Also, I question the use of ExecutionContext, we dont know the # of threads in that context, so not sure what parallelism we achieve here. Its best to create an ExecutionContext from a Executors.newFixedThreadPool().

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super nit, no change necessary. A simpler implementation is possible. No latch necessary.

val futures = transceiversAndClients.map( x => {
  Future {
      ....
  }
)
Await.result(Future.sequence(futures), timeout)    // Future.sequence converst seq of Future to a single Future of seq.

val client = x._2
val events = client.getEventBatch(1000)
if (!failSome || counter.getAndIncrement() % 2 == 0) {
client.ack(events.getSequenceNumber)
} else {
client.nack(events.getSequenceNumber)
throw new RuntimeException("Sending NACK for failure!")
}
events
}.onComplete {
case Success(events) =>
assert(events.getEvents.size() === 1000)
batchCounter.countDown()
case Failure(t) =>
// Don't re-throw the exception, causes a nasty unnecessary stack trace on stdout
batchCounter.countDown()
}
})
batchCounter.await()
TimeUnit.SECONDS.sleep(1) // Allow the sink to commit the transactions.
executorContext.shutdown()
if(failSome) {
assert(availableChannelSlots(channel) === 3000)
} else {
assertChannelIsEmpty(channel)
}
sink.stop()
channel.stop()
transceiversAndClients.foreach(x => x._1.close())
}

private def initializeChannelAndSink(overrides: Map[String, String] = Map.empty): (MemoryChannel,
SparkSink) = {
val channel = new MemoryChannel()
val channelContext = new Context()

channelContext.put("capacity", channelCapacity.toString)
channelContext.put("transactionCapacity", 1000.toString)
channelContext.put("keep-alive", 0.toString)
channelContext.putAll(overrides)
channel.configure(channelContext)

val sink = new SparkSink()
val sinkContext = new Context()
sinkContext.put(SparkSinkConfig.CONF_HOSTNAME, "0.0.0.0")
sinkContext.put(SparkSinkConfig.CONF_PORT, 0.toString)
sink.configure(sinkContext)
sink.setChannel(channel)
(channel, sink)
}

private def putEvents(ch: MemoryChannel, count: Int): Unit = {
val tx = ch.getTransaction
tx.begin()
(1 to count).foreach(x => ch.put(EventBuilder.withBody(x.toString.getBytes)))
tx.commit()
tx.close()
}

private def getTransceiverAndClient(address: InetSocketAddress,
count: Int): Seq[(NettyTransceiver, SparkFlumeProtocol.Callback)] = {
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Can you make this as "Unit = {"


(1 to count).map(_ => {
lazy val channelFactoryExecutor =
Executors.newCachedThreadPool(new ThreadFactoryBuilder().setDaemon(true).
setNameFormat("Flume Receiver Channel Thread - %d").build())
lazy val channelFactory =
new NioClientSocketChannelFactory(channelFactoryExecutor, channelFactoryExecutor)
val transceiver = new NettyTransceiver(address, channelFactory)
val client = SpecificRequestor.getClient(classOf[SparkFlumeProtocol.Callback], transceiver)
(transceiver, client)
})
}

private def assertChannelIsEmpty(channel: MemoryChannel): Unit = {
assert(availableChannelSlots(channel) === channelCapacity)
}

private def availableChannelSlots(channel: MemoryChannel): Int = {
val queueRemaining = channel.getClass.getDeclaredField("queueRemaining")
queueRemaining.setAccessible(true)
val m = queueRemaining.get(channel).getClass.getDeclaredMethod("availablePermits")
m.invoke(queueRemaining.get(channel)).asInstanceOf[Int]
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -198,7 +198,7 @@ class FlumePollingStreamSuite extends TestSuiteBase {
}

def assertChannelIsEmpty(channel: MemoryChannel) = {
val queueRemaining = channel.getClass.getDeclaredField("queueRemaining");
val queueRemaining = channel.getClass.getDeclaredField("queueRemaining")
queueRemaining.setAccessible(true)
val m = queueRemaining.get(channel).getClass.getDeclaredMethod("availablePermits")
assert(m.invoke(queueRemaining.get(channel)).asInstanceOf[Int] === 5000)
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