contrib/src/test/java/com/datatorrent/contrib/kafka/KafkaInputOperatorTest.java - apex-malhar - Git at Google

 /*
  * Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved.
  *
  * Licensed 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 com.datatorrent.contrib.kafka;

 import com.datatorrent.api.Attribute;
 import com.datatorrent.api.BaseOperator;
 import com.datatorrent.api.Context;
 import com.datatorrent.api.DAG;
 import com.datatorrent.api.DAG.Locality;
 import com.datatorrent.api.DefaultInputPort;
 import com.datatorrent.api.LocalMode;
 import com.datatorrent.api.Operator;
 import com.datatorrent.api.Partitioner;
 import com.datatorrent.lib.helper.OperatorContextTestHelper;
 import com.datatorrent.lib.io.IdempotentStorageManager;
 import com.datatorrent.lib.partitioner.StatelessPartitionerTest;
 import com.datatorrent.lib.testbench.CollectorTestSink;
 import java.io.File;
 import java.io.IOException;
 import java.util.Collection;
 import java.util.LinkedList;
 import java.util.List;
 import java.util.Properties;
 import java.util.concurrent.CountDownLatch;
 import java.util.concurrent.TimeUnit;
 import java.util.concurrent.atomic.AtomicInteger;
 import org.apache.commons.io.FileUtils;
 import org.junit.After;
 import org.junit.Assert;
 import org.junit.Rule;
 import org.junit.Test;
 import org.junit.rules.TestWatcher;
 import org.junit.runner.Description;
 import org.slf4j.LoggerFactory;

 public class KafkaInputOperatorTest extends KafkaOperatorTestBase
 {
   static final org.slf4j.Logger logger = LoggerFactory.getLogger(KafkaInputOperatorTest.class);
   static AtomicInteger tupleCount = new AtomicInteger();
   static CountDownLatch latch;

   /**
    * Test Operator to collect tuples from KafkaSingleInputStringOperator.
    *
    * @param <T>
    */
   public static class CollectorModule<T> extends BaseOperator
   {
     public final transient CollectorInputPort<T> inputPort = new CollectorInputPort<T>("myInput", this);
   }

   public static class CollectorInputPort<T> extends DefaultInputPort<T>
   {

     public CollectorInputPort(String id, Operator module)
     {
       super();
     }

     @Override
     public void process(T tuple)
     {
       if (tuple.equals(KafkaOperatorTestBase.END_TUPLE)) {
         if (latch != null) {
           latch.countDown();
         }
         return;
       }
       tupleCount.incrementAndGet();
     }

     @Override
     public void setConnected(boolean flag)
     {
       tupleCount.set(0);
     }
   }

   /**
    * Test AbstractKafkaSinglePortInputOperator (i.e. an input adapter for
    * Kafka, aka consumer). This module receives data from an outside test
    * generator through Kafka message bus and feed that data into Malhar
    * streaming platform.
    *
    * [Generate message and send that to Kafka message bus] ==> [Receive that
    * message through Kafka input adapter(i.e. consumer) and send using
    * emitTuples() interface on output port during onMessage call]
    *
    *
    * @throws Exception
    */
   public void testKafkaInputOperator(int sleepTime, final int totalCount, KafkaConsumer consumer, boolean isValid, boolean idempotent) throws Exception
   {
     // initial the latch for this test
     latch = new CountDownLatch(1);


  // Start producer
     KafkaTestProducer p = new KafkaTestProducer(TEST_TOPIC);
     p.setSendCount(totalCount);
     new Thread(p).start();

     // Create DAG for testing.
     LocalMode lma = LocalMode.newInstance();
     DAG dag = lma.getDAG();


     // Create KafkaSinglePortStringInputOperator
     KafkaSinglePortStringInputOperator node = dag.addOperator("Kafka message consumer", KafkaSinglePortStringInputOperator.class);
     if(idempotent) {
       node.setIdempotentStorageManager(new IdempotentStorageManager.FSIdempotentStorageManager());
     }
     consumer.setTopic(TEST_TOPIC);

     node.setConsumer(consumer);

     if (isValid) {
       node.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
     }

     // Create Test tuple collector
     CollectorModule<String> collector = dag.addOperator("TestMessageCollector", new CollectorModule<String>());

     // Connect ports
     dag.addStream("Kafka message", node.outputPort, collector.inputPort).setLocality(Locality.CONTAINER_LOCAL);

     // Create local cluster
     final LocalMode.Controller lc = lma.getController();
     lc.setHeartbeatMonitoringEnabled(false);

     lc.runAsync();

     // Wait 30s for consumer finish consuming all the messages
     Assert.assertTrue("TIMEOUT: 30s ", latch.await(300000, TimeUnit.MILLISECONDS));

     // Check results
     Assert.assertEquals("Tuple count", totalCount, tupleCount.intValue());
     logger.debug(String.format("Number of emitted tuples: %d", tupleCount.intValue()));

     p.close();
     lc.shutdown();
   }

   @Test
   public void testKafkaInputOperator_Highlevel() throws Exception
   {
     int totalCount = 10000;
     Properties props = new Properties();
     props.put("group.id", "group1");
     // This damn property waste me 2 days! It's a 0.8 new property. "smallest" means
     // reset the consumer to the beginning of the message that is not consumed yet
     // otherwise it wont get any of those the produced before!
     KafkaConsumer k = new HighlevelKafkaConsumer(props);
     k.setInitialOffset("earliest");
     testKafkaInputOperator(1000, totalCount, k, true, false);
   }

   @Test
   public void testKafkaInputOperator_Simple() throws Exception
   {
     int totalCount = 10000;
     KafkaConsumer k = new SimpleKafkaConsumer();
     k.setInitialOffset("earliest");
     testKafkaInputOperator(1000, totalCount, k, true, false);
   }

   @Test
   public void testKafkaInputOperator_Simple_Idempotent() throws Exception
   {
     int totalCount = 10000;
     KafkaConsumer k = new SimpleKafkaConsumer();
     k.setInitialOffset("earliest");
     testKafkaInputOperator(1000, totalCount, k, true, true);
   }

   @Test
   public void testKafkaInputOperator_Invalid() throws Exception
   {
     int totalCount = 10000;
     SimpleKafkaConsumer consumer = new SimpleKafkaConsumer();
     try{
       testKafkaInputOperator(1000, totalCount,consumer, false, false);
     }catch(Exception e){
       // invalid host setup expect to fail here
       Assert.assertEquals("Error creating local cluster", e.getMessage());
     }
   }

   @Override
   @After
   public void afterTest()
   {
     tupleCount.set(0);
     super.afterTest();
   }

   public static class TestMeta extends TestWatcher
   {
     String baseDir;
     String recoveryDir;
     KafkaSinglePortStringInputOperator operator;
     CollectorTestSink<Object> sink;
     Context.OperatorContext context;

     @Override
     protected void starting(Description description)
     {
       String methodName = description.getMethodName();
       String className = description.getClassName();
       baseDir = "target/" + className + "/" + methodName;
       recoveryDir = baseDir + "/" + "recovery";
       try {
         FileUtils.deleteDirectory(new File(recoveryDir));
       } catch (IOException e) {
         throw new RuntimeException(e);
       }
     }
   }

   @Rule
   public TestMeta testMeta = new TestMeta();

   @Test
   public void testRecoveryAndIdempotency() throws Exception
   {
     int totalCount = 1500;

     // initial the latch for this test
     latch = new CountDownLatch(50);

     // Start producer
     KafkaTestProducer p = new KafkaTestProducer(TEST_TOPIC);
     p.setSendCount(totalCount);
     new Thread(p).start();

     Attribute.AttributeMap attributeMap = new Attribute.AttributeMap.DefaultAttributeMap();
     attributeMap.put(Context.OperatorContext.SPIN_MILLIS, 500);
     attributeMap.put(Context.DAGContext.APPLICATION_PATH, testMeta.baseDir);

     testMeta.context = new OperatorContextTestHelper.TestIdOperatorContext(1, attributeMap);
     testMeta.operator = new KafkaSinglePortStringInputOperator();

     KafkaConsumer consumer = new SimpleKafkaConsumer();
     consumer.setTopic(TEST_TOPIC);
     consumer.setInitialOffset("earliest");

     IdempotentStorageManager.FSIdempotentStorageManager storageManager = new IdempotentStorageManager.FSIdempotentStorageManager();
     storageManager.setRecoveryPath(testMeta.recoveryDir);
     testMeta.operator.setIdempotentStorageManager(storageManager);
     testMeta.operator.setConsumer(consumer);
     testMeta.operator.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
     testMeta.operator.setMaxTuplesPerWindow(500);

     List<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>> partitions = new LinkedList<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>>();

     Collection<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>> newPartitions = testMeta.operator.definePartitions(partitions, new StatelessPartitionerTest.PartitioningContextImpl(null, 0));
     Assert.assertEquals(1, newPartitions.size());

     KafkaSinglePortStringInputOperator operator = (KafkaSinglePortStringInputOperator)newPartitions.iterator().next().getPartitionedInstance();

     testMeta.sink = new CollectorTestSink<Object>();
     testMeta.operator.outputPort.setSink(testMeta.sink);
     operator.outputPort.setSink(testMeta.sink);
     operator.setup(testMeta.context);
     operator.activate(testMeta.context);
     latch.await(4000, TimeUnit.MILLISECONDS);
     operator.beginWindow(1);
     operator.emitTuples();
     operator.endWindow();
     operator.beginWindow(2);
     operator.emitTuples();
     operator.endWindow();

     //failure and then re-deployment of operator
     testMeta.sink.collectedTuples.clear();
     operator.teardown();
     operator.setup(testMeta.context);

     Assert.assertEquals("largest recovery window", 2, operator.getIdempotentStorageManager().getLargestRecoveryWindow());

     operator.beginWindow(1);
     operator.emitTuples();
     operator.endWindow();
     operator.beginWindow(2);
     operator.emitTuples();
     operator.endWindow();
     latch.await(3000, TimeUnit.MILLISECONDS);
     // Emiting data after all recovery windows are replayed
     operator.beginWindow(3);
     operator.emitTuples();
     operator.endWindow();

     Assert.assertEquals("Total messages collected ", totalCount, testMeta.sink.collectedTuples.size());
     testMeta.sink.collectedTuples.clear();
   }

   @Test
   public void testZookeeper() throws Exception
   {
     // initial the latch for this test
     latch = new CountDownLatch(50);

     testMeta.operator = new KafkaSinglePortStringInputOperator();

     KafkaConsumer consumer = new SimpleKafkaConsumer();
     consumer.setTopic(TEST_TOPIC);

     testMeta.operator.setConsumer(consumer);
     testMeta.operator.setZookeeper("cluster1::node0,node1,node2:2181,node3:2182;cluster2::node4:2181");
     latch.await(500, TimeUnit.MILLISECONDS);

     Assert.assertEquals("Total size of clusters ", 5, testMeta.operator.getConsumer().zookeeperMap.size());
     Assert.assertEquals("Number of nodes in cluster1 ", 4, testMeta.operator.getConsumer().zookeeperMap.get("cluster1").size());
     Assert.assertEquals("Nodes in cluster1 ", "[node0:2181, node2:2181, node3:2182, node1:2181]", testMeta.operator.getConsumer().zookeeperMap.get("cluster1").toString());
     Assert.assertEquals("Number of nodes in cluster2 ", 1, testMeta.operator.getConsumer().zookeeperMap.get("cluster2").size());
     Assert.assertEquals("Nodes in cluster2 ", "[node4:2181]", testMeta.operator.getConsumer().zookeeperMap.get("cluster2").toString());
   }

 }
	/*
	* Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved.
	*
	* Licensed 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 com.datatorrent.contrib.kafka;

	import com.datatorrent.api.Attribute;
	import com.datatorrent.api.BaseOperator;
	import com.datatorrent.api.Context;
	import com.datatorrent.api.DAG;
	import com.datatorrent.api.DAG.Locality;
	import com.datatorrent.api.DefaultInputPort;
	import com.datatorrent.api.LocalMode;
	import com.datatorrent.api.Operator;
	import com.datatorrent.api.Partitioner;
	import com.datatorrent.lib.helper.OperatorContextTestHelper;
	import com.datatorrent.lib.io.IdempotentStorageManager;
	import com.datatorrent.lib.partitioner.StatelessPartitionerTest;
	import com.datatorrent.lib.testbench.CollectorTestSink;
	import java.io.File;
	import java.io.IOException;
	import java.util.Collection;
	import java.util.LinkedList;
	import java.util.List;
	import java.util.Properties;
	import java.util.concurrent.CountDownLatch;
	import java.util.concurrent.TimeUnit;
	import java.util.concurrent.atomic.AtomicInteger;
	import org.apache.commons.io.FileUtils;
	import org.junit.After;
	import org.junit.Assert;
	import org.junit.Rule;
	import org.junit.Test;
	import org.junit.rules.TestWatcher;
	import org.junit.runner.Description;
	import org.slf4j.LoggerFactory;

	public class KafkaInputOperatorTest extends KafkaOperatorTestBase
	{
	static final org.slf4j.Logger logger = LoggerFactory.getLogger(KafkaInputOperatorTest.class);
	static AtomicInteger tupleCount = new AtomicInteger();
	static CountDownLatch latch;

	/**
	* Test Operator to collect tuples from KafkaSingleInputStringOperator.
	*
	* @param <T>
	*/
	public static class CollectorModule<T> extends BaseOperator
	{
	public final transient CollectorInputPort<T> inputPort = new CollectorInputPort<T>("myInput", this);
	}

	public static class CollectorInputPort<T> extends DefaultInputPort<T>
	{

	public CollectorInputPort(String id, Operator module)
	{
	super();
	}

	@Override
	public void process(T tuple)
	{
	if (tuple.equals(KafkaOperatorTestBase.END_TUPLE)) {
	if (latch != null) {
	latch.countDown();
	}
	return;
	}
	tupleCount.incrementAndGet();
	}

	@Override
	public void setConnected(boolean flag)
	{
	tupleCount.set(0);
	}
	}

	/**
	* Test AbstractKafkaSinglePortInputOperator (i.e. an input adapter for
	* Kafka, aka consumer). This module receives data from an outside test
	* generator through Kafka message bus and feed that data into Malhar
	* streaming platform.
	*
	* [Generate message and send that to Kafka message bus] ==> [Receive that
	* message through Kafka input adapter(i.e. consumer) and send using
	* emitTuples() interface on output port during onMessage call]
	*
	*
	* @throws Exception
	*/
	public void testKafkaInputOperator(int sleepTime, final int totalCount, KafkaConsumer consumer, boolean isValid, boolean idempotent) throws Exception
	{
	// initial the latch for this test
	latch = new CountDownLatch(1);


	// Start producer
	KafkaTestProducer p = new KafkaTestProducer(TEST_TOPIC);
	p.setSendCount(totalCount);
	new Thread(p).start();

	// Create DAG for testing.
	LocalMode lma = LocalMode.newInstance();
	DAG dag = lma.getDAG();



	// Create KafkaSinglePortStringInputOperator
	KafkaSinglePortStringInputOperator node = dag.addOperator("Kafka message consumer", KafkaSinglePortStringInputOperator.class);
	if(idempotent) {
	node.setIdempotentStorageManager(new IdempotentStorageManager.FSIdempotentStorageManager());
	}
	consumer.setTopic(TEST_TOPIC);

	node.setConsumer(consumer);

	if (isValid) {
	node.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
	}

	// Create Test tuple collector
	CollectorModule<String> collector = dag.addOperator("TestMessageCollector", new CollectorModule<String>());

	// Connect ports
	dag.addStream("Kafka message", node.outputPort, collector.inputPort).setLocality(Locality.CONTAINER_LOCAL);

	// Create local cluster
	final LocalMode.Controller lc = lma.getController();
	lc.setHeartbeatMonitoringEnabled(false);

	lc.runAsync();

	// Wait 30s for consumer finish consuming all the messages
	Assert.assertTrue("TIMEOUT: 30s ", latch.await(300000, TimeUnit.MILLISECONDS));

	// Check results
	Assert.assertEquals("Tuple count", totalCount, tupleCount.intValue());
	logger.debug(String.format("Number of emitted tuples: %d", tupleCount.intValue()));

	p.close();
	lc.shutdown();
	}

	@Test
	public void testKafkaInputOperator_Highlevel() throws Exception
	{
	int totalCount = 10000;
	Properties props = new Properties();
	props.put("group.id", "group1");
	// This damn property waste me 2 days! It's a 0.8 new property. "smallest" means
	// reset the consumer to the beginning of the message that is not consumed yet
	// otherwise it wont get any of those the produced before!
	KafkaConsumer k = new HighlevelKafkaConsumer(props);
	k.setInitialOffset("earliest");
	testKafkaInputOperator(1000, totalCount, k, true, false);
	}

	@Test
	public void testKafkaInputOperator_Simple() throws Exception
	{
	int totalCount = 10000;
	KafkaConsumer k = new SimpleKafkaConsumer();
	k.setInitialOffset("earliest");
	testKafkaInputOperator(1000, totalCount, k, true, false);
	}

	@Test
	public void testKafkaInputOperator_Simple_Idempotent() throws Exception
	{
	int totalCount = 10000;
	KafkaConsumer k = new SimpleKafkaConsumer();
	k.setInitialOffset("earliest");
	testKafkaInputOperator(1000, totalCount, k, true, true);
	}

	@Test
	public void testKafkaInputOperator_Invalid() throws Exception
	{
	int totalCount = 10000;
	SimpleKafkaConsumer consumer = new SimpleKafkaConsumer();
	try{
	testKafkaInputOperator(1000, totalCount,consumer, false, false);
	}catch(Exception e){
	// invalid host setup expect to fail here
	Assert.assertEquals("Error creating local cluster", e.getMessage());
	}
	}

	@Override
	@After
	public void afterTest()
	{
	tupleCount.set(0);
	super.afterTest();
	}

	public static class TestMeta extends TestWatcher
	{
	String baseDir;
	String recoveryDir;
	KafkaSinglePortStringInputOperator operator;
	CollectorTestSink<Object> sink;
	Context.OperatorContext context;

	@Override
	protected void starting(Description description)
	{
	String methodName = description.getMethodName();
	String className = description.getClassName();
	baseDir = "target/" + className + "/" + methodName;
	recoveryDir = baseDir + "/" + "recovery";
	try {
	FileUtils.deleteDirectory(new File(recoveryDir));
	} catch (IOException e) {
	throw new RuntimeException(e);
	}
	}
	}

	@Rule
	public TestMeta testMeta = new TestMeta();

	@Test
	public void testRecoveryAndIdempotency() throws Exception
	{
	int totalCount = 1500;

	// initial the latch for this test
	latch = new CountDownLatch(50);

	// Start producer
	KafkaTestProducer p = new KafkaTestProducer(TEST_TOPIC);
	p.setSendCount(totalCount);
	new Thread(p).start();

	Attribute.AttributeMap attributeMap = new Attribute.AttributeMap.DefaultAttributeMap();
	attributeMap.put(Context.OperatorContext.SPIN_MILLIS, 500);
	attributeMap.put(Context.DAGContext.APPLICATION_PATH, testMeta.baseDir);

	testMeta.context = new OperatorContextTestHelper.TestIdOperatorContext(1, attributeMap);
	testMeta.operator = new KafkaSinglePortStringInputOperator();

	KafkaConsumer consumer = new SimpleKafkaConsumer();
	consumer.setTopic(TEST_TOPIC);
	consumer.setInitialOffset("earliest");

	IdempotentStorageManager.FSIdempotentStorageManager storageManager = new IdempotentStorageManager.FSIdempotentStorageManager();
	storageManager.setRecoveryPath(testMeta.recoveryDir);
	testMeta.operator.setIdempotentStorageManager(storageManager);
	testMeta.operator.setConsumer(consumer);
	testMeta.operator.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
	testMeta.operator.setMaxTuplesPerWindow(500);

	List<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>> partitions = new LinkedList<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>>();

	Collection<Partitioner.Partition<AbstractKafkaInputOperator<KafkaConsumer>>> newPartitions = testMeta.operator.definePartitions(partitions, new StatelessPartitionerTest.PartitioningContextImpl(null, 0));
	Assert.assertEquals(1, newPartitions.size());

	KafkaSinglePortStringInputOperator operator = (KafkaSinglePortStringInputOperator)newPartitions.iterator().next().getPartitionedInstance();

	testMeta.sink = new CollectorTestSink<Object>();
	testMeta.operator.outputPort.setSink(testMeta.sink);
	operator.outputPort.setSink(testMeta.sink);
	operator.setup(testMeta.context);
	operator.activate(testMeta.context);
	latch.await(4000, TimeUnit.MILLISECONDS);
	operator.beginWindow(1);
	operator.emitTuples();
	operator.endWindow();
	operator.beginWindow(2);
	operator.emitTuples();
	operator.endWindow();

	//failure and then re-deployment of operator
	testMeta.sink.collectedTuples.clear();
	operator.teardown();
	operator.setup(testMeta.context);

	Assert.assertEquals("largest recovery window", 2, operator.getIdempotentStorageManager().getLargestRecoveryWindow());

	operator.beginWindow(1);
	operator.emitTuples();
	operator.endWindow();
	operator.beginWindow(2);
	operator.emitTuples();
	operator.endWindow();
	latch.await(3000, TimeUnit.MILLISECONDS);
	// Emiting data after all recovery windows are replayed
	operator.beginWindow(3);
	operator.emitTuples();
	operator.endWindow();

	Assert.assertEquals("Total messages collected ", totalCount, testMeta.sink.collectedTuples.size());
	testMeta.sink.collectedTuples.clear();
	}

	@Test
	public void testZookeeper() throws Exception
	{
	// initial the latch for this test
	latch = new CountDownLatch(50);

	testMeta.operator = new KafkaSinglePortStringInputOperator();

	KafkaConsumer consumer = new SimpleKafkaConsumer();
	consumer.setTopic(TEST_TOPIC);

	testMeta.operator.setConsumer(consumer);
	testMeta.operator.setZookeeper("cluster1::node0,node1,node2:2181,node3:2182;cluster2::node4:2181");
	latch.await(500, TimeUnit.MILLISECONDS);

	Assert.assertEquals("Total size of clusters ", 5, testMeta.operator.getConsumer().zookeeperMap.size());
	Assert.assertEquals("Number of nodes in cluster1 ", 4, testMeta.operator.getConsumer().zookeeperMap.get("cluster1").size());
	Assert.assertEquals("Nodes in cluster1 ", "[node0:2181, node2:2181, node3:2182, node1:2181]", testMeta.operator.getConsumer().zookeeperMap.get("cluster1").toString());
	Assert.assertEquals("Number of nodes in cluster2 ", 1, testMeta.operator.getConsumer().zookeeperMap.get("cluster2").size());
	Assert.assertEquals("Nodes in cluster2 ", "[node4:2181]", testMeta.operator.getConsumer().zookeeperMap.get("cluster2").toString());
	}

	}