contrib/src/test/java/org/apache/apex/malhar/contrib/kafka/KafkaInputOperatorTest.java - apex-malhar - Git at Google

 /**
  * 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.apex.malhar.contrib.kafka;

 import java.io.File;
 import java.io.IOException;
 import java.util.Collection;
 import java.util.LinkedList;
 import java.util.List;
 import java.util.Map;
 import java.util.Properties;
 import java.util.concurrent.CountDownLatch;
 import java.util.concurrent.TimeUnit;
 import java.util.concurrent.atomic.AtomicInteger;

 import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Rule;
 import org.junit.Test;
 import org.junit.rules.TestWatcher;
 import org.junit.runner.Description;
 import org.slf4j.LoggerFactory;

 import org.apache.apex.malhar.lib.partitioner.StatelessPartitionerTest;
 import org.apache.apex.malhar.lib.testbench.CollectorTestSink;
 import org.apache.apex.malhar.lib.wal.FSWindowDataManager;
 import org.apache.commons.io.FileUtils;
 import org.apache.hadoop.conf.Configuration;

 import com.datatorrent.api.Attribute;
 import com.datatorrent.api.Context;
 import com.datatorrent.api.Context.OperatorContext;
 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.common.util.BaseOperator;
 import com.datatorrent.common.util.FSStorageAgent;
 import com.datatorrent.stram.StramLocalCluster;

 import static org.apache.apex.malhar.lib.helper.OperatorContextTestHelper.mockOperatorContext;


 public class KafkaInputOperatorTest extends KafkaOperatorTestBase
 {
   static final org.slf4j.Logger logger = LoggerFactory.getLogger(KafkaInputOperatorTest.class);
   static AtomicInteger tupleCount = new AtomicInteger();
   static CountDownLatch latch;
   static boolean isSuicide = false;
   static int suicideTrigger = 3000;

   /**
    * 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>
   {

     private int k = 0;

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

     @Override
     public void process(T tuple)
     {
       if (isSuicide && k++ == suicideTrigger) {
         //you can only kill yourself once
         isSuicide = false;
         throw  new RuntimeException();
       }
       if (tuple.equals(KafkaOperatorTestBase.END_TUPLE)) {
         if (latch != null) {
           latch.countDown();
         }
         return;
       }
       tupleCount.incrementAndGet();
     }
   }

   /**
    * 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 (isSuicide) {
       // make some extreme assumptions to make it fail if checkpointing wrong offsets
       dag.setAttribute(Context.DAGContext.CHECKPOINT_WINDOW_COUNT, 1);
       dag.setAttribute(Context.OperatorContext.STORAGE_AGENT, new FSStorageAgent("target/ck", new Configuration()));
       node.setMaxTuplesPerWindow(500);
     }

     if (idempotent) {
       node.setWindowDataManager(new FSWindowDataManager());
     }
     consumer.setTopic(TEST_TOPIC);

     node.setConsumer(consumer);

     consumer.setCacheSize(5000);

     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.assertTrue("Expected count >= " + totalCount + "; Actual count " + tupleCount.intValue(),
         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_SimpleSuicide() throws Exception
   {
     int totalCount = 10000;
     KafkaConsumer k = new SimpleKafkaConsumer();
     k.setInitialOffset("earliest");
     isSuicide = true;
     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
   @Before
   public void beforeTest()
   {
     tupleCount.set(0);
     File syncCheckPoint = new File("target", "ck");
     File localFiles = new File("target" + StramLocalCluster.class.getName());
     try {
       FileUtils.deleteQuietly(syncCheckPoint);
       FileUtils.deleteQuietly(localFiles);
     } catch (Exception e) {
       throw new RuntimeException(e);
     } finally {
       super.beforeTest();
     }
   }

   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 = "recovery";
       try {
         FileUtils.deleteDirectory(new File(baseDir, "recovery"));
       } 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();


     KafkaSinglePortStringInputOperator operator = createAndDeployOperator(true);
     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.deactivate();

     operator = createAndDeployOperator(true);
     Assert.assertEquals("largest recovery window", 2, operator.getWindowDataManager().getLargestCompletedWindow());

     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();
     operator.teardown();
     operator.deactivate();
   }

   @Test
   public void testRecoveryAndExactlyOnce() 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();

     KafkaSinglePortStringInputOperator operator = createAndDeployOperator(false);
     latch.await(4000, TimeUnit.MILLISECONDS);
     operator.beginWindow(1);
     operator.emitTuples();
     operator.endWindow();
     operator.beginWindow(2);
     operator.emitTuples();
     operator.endWindow();
     operator.checkpointed(2);
     operator.committed(2);
     Map<KafkaPartition, Long> offsetStats = operator.offsetStats;
     int collectedTuplesAfterCheckpoint = testMeta.sink.collectedTuples.size();
     //failure and then re-deployment of operator
     testMeta.sink.collectedTuples.clear();
     operator.teardown();
     operator.deactivate();
     operator = createOperator(false);
     operator.offsetStats = offsetStats;
     operator.setup(testMeta.context);
     operator.activate(testMeta.context);
     latch.await(4000, TimeUnit.MILLISECONDS);
     // Emiting data after all recovery windows are replayed
     operator.beginWindow(3);
     operator.emitTuples();
     operator.endWindow();
     operator.beginWindow(4);
     operator.emitTuples();
     operator.endWindow();
     latch.await(3000, TimeUnit.MILLISECONDS);

     Assert.assertEquals("Total messages collected ", totalCount - collectedTuplesAfterCheckpoint + 1, testMeta.sink.collectedTuples.size());
     testMeta.sink.collectedTuples.clear();
     operator.teardown();
     operator.deactivate();
   }

   private KafkaSinglePortStringInputOperator createOperator(boolean isIdempotency)
   {
     Attribute.AttributeMap attributeMap = new Attribute.AttributeMap.DefaultAttributeMap();
     attributeMap.put(Context.OperatorContext.SPIN_MILLIS, 500);
     attributeMap.put(Context.DAGContext.APPLICATION_PATH, testMeta.baseDir);


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

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

     if (isIdempotency) {
       FSWindowDataManager storageManager = new FSWindowDataManager();
       storageManager.setStatePath(testMeta.recoveryDir);
       testMeta.operator.setWindowDataManager(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);
     return operator;
   }

   private KafkaSinglePortStringInputOperator createAndDeployOperator(boolean isIdempotency)
   {
     KafkaSinglePortStringInputOperator operator = createOperator(isIdempotency);
     operator.setup(testMeta.context);
     operator.activate(testMeta.context);

     return operator;

   }

   @Test
   public void testMaxTotalSize() throws InterruptedException
   {
     int totalCount = 1500;
     int maxTotalSize = 500;

     // initial the latch for this test
     latch = new CountDownLatch(1);

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

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

     OperatorContext context = mockOperatorContext(1, attributeMap);
     KafkaSinglePortStringInputOperator operator = new KafkaSinglePortStringInputOperator();

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

     operator.setConsumer(consumer);
     operator.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
     operator.setMaxTotalMsgSizePerWindow(maxTotalSize);

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

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

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

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

     t.join();

     operator.deactivate();
     operator.teardown();
     int size = 0;
     for (Object o : sink.collectedTuples) {
       size += ((String)o).getBytes().length;
     }
     Assert.assertTrue("Total emitted size comparison", size < maxTotalSize);
   }

   @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/chroot/dir;cluster2::node4:2181");
     latch.await(500, TimeUnit.MILLISECONDS);

     Assert.assertEquals("Total size of clusters ", 2, testMeta.operator.getConsumer().zookeeperMap.size());
     Assert.assertEquals("Connection url for cluster1 ", "node0,node1,node2:2181,node3:2182/chroot/dir", testMeta.operator.getConsumer().zookeeperMap.get("cluster1").iterator().next());
     Assert.assertEquals("Connection url for cluster 2 ", "node4:2181", testMeta.operator.getConsumer().zookeeperMap.get("cluster2").iterator().next());
   }

 }
	/**
	* 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.apex.malhar.contrib.kafka;

	import java.io.File;
	import java.io.IOException;
	import java.util.Collection;
	import java.util.LinkedList;
	import java.util.List;
	import java.util.Map;
	import java.util.Properties;
	import java.util.concurrent.CountDownLatch;
	import java.util.concurrent.TimeUnit;
	import java.util.concurrent.atomic.AtomicInteger;

	import org.junit.Assert;
	import org.junit.Before;
	import org.junit.Rule;
	import org.junit.Test;
	import org.junit.rules.TestWatcher;
	import org.junit.runner.Description;
	import org.slf4j.LoggerFactory;

	import org.apache.apex.malhar.lib.partitioner.StatelessPartitionerTest;
	import org.apache.apex.malhar.lib.testbench.CollectorTestSink;
	import org.apache.apex.malhar.lib.wal.FSWindowDataManager;
	import org.apache.commons.io.FileUtils;
	import org.apache.hadoop.conf.Configuration;

	import com.datatorrent.api.Attribute;
	import com.datatorrent.api.Context;
	import com.datatorrent.api.Context.OperatorContext;
	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.common.util.BaseOperator;
	import com.datatorrent.common.util.FSStorageAgent;
	import com.datatorrent.stram.StramLocalCluster;

	import static org.apache.apex.malhar.lib.helper.OperatorContextTestHelper.mockOperatorContext;


	public class KafkaInputOperatorTest extends KafkaOperatorTestBase
	{
	static final org.slf4j.Logger logger = LoggerFactory.getLogger(KafkaInputOperatorTest.class);
	static AtomicInteger tupleCount = new AtomicInteger();
	static CountDownLatch latch;
	static boolean isSuicide = false;
	static int suicideTrigger = 3000;

	/**
	* 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>
	{

	private int k = 0;

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

	@Override
	public void process(T tuple)
	{
	if (isSuicide && k++ == suicideTrigger) {
	//you can only kill yourself once
	isSuicide = false;
	throw new RuntimeException();
	}
	if (tuple.equals(KafkaOperatorTestBase.END_TUPLE)) {
	if (latch != null) {
	latch.countDown();
	}
	return;
	}
	tupleCount.incrementAndGet();
	}
	}

	/**
	* 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 (isSuicide) {
	// make some extreme assumptions to make it fail if checkpointing wrong offsets
	dag.setAttribute(Context.DAGContext.CHECKPOINT_WINDOW_COUNT, 1);
	dag.setAttribute(Context.OperatorContext.STORAGE_AGENT, new FSStorageAgent("target/ck", new Configuration()));
	node.setMaxTuplesPerWindow(500);
	}

	if (idempotent) {
	node.setWindowDataManager(new FSWindowDataManager());
	}
	consumer.setTopic(TEST_TOPIC);

	node.setConsumer(consumer);

	consumer.setCacheSize(5000);

	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.assertTrue("Expected count >= " + totalCount + "; Actual count " + tupleCount.intValue(),
	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_SimpleSuicide() throws Exception
	{
	int totalCount = 10000;
	KafkaConsumer k = new SimpleKafkaConsumer();
	k.setInitialOffset("earliest");
	isSuicide = true;
	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
	@Before
	public void beforeTest()
	{
	tupleCount.set(0);
	File syncCheckPoint = new File("target", "ck");
	File localFiles = new File("target" + StramLocalCluster.class.getName());
	try {
	FileUtils.deleteQuietly(syncCheckPoint);
	FileUtils.deleteQuietly(localFiles);
	} catch (Exception e) {
	throw new RuntimeException(e);
	} finally {
	super.beforeTest();
	}
	}

	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 = "recovery";
	try {
	FileUtils.deleteDirectory(new File(baseDir, "recovery"));
	} 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();


	KafkaSinglePortStringInputOperator operator = createAndDeployOperator(true);
	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.deactivate();

	operator = createAndDeployOperator(true);
	Assert.assertEquals("largest recovery window", 2, operator.getWindowDataManager().getLargestCompletedWindow());

	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();
	operator.teardown();
	operator.deactivate();
	}

	@Test
	public void testRecoveryAndExactlyOnce() 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();

	KafkaSinglePortStringInputOperator operator = createAndDeployOperator(false);
	latch.await(4000, TimeUnit.MILLISECONDS);
	operator.beginWindow(1);
	operator.emitTuples();
	operator.endWindow();
	operator.beginWindow(2);
	operator.emitTuples();
	operator.endWindow();
	operator.checkpointed(2);
	operator.committed(2);
	Map<KafkaPartition, Long> offsetStats = operator.offsetStats;
	int collectedTuplesAfterCheckpoint = testMeta.sink.collectedTuples.size();
	//failure and then re-deployment of operator
	testMeta.sink.collectedTuples.clear();
	operator.teardown();
	operator.deactivate();
	operator = createOperator(false);
	operator.offsetStats = offsetStats;
	operator.setup(testMeta.context);
	operator.activate(testMeta.context);
	latch.await(4000, TimeUnit.MILLISECONDS);
	// Emiting data after all recovery windows are replayed
	operator.beginWindow(3);
	operator.emitTuples();
	operator.endWindow();
	operator.beginWindow(4);
	operator.emitTuples();
	operator.endWindow();
	latch.await(3000, TimeUnit.MILLISECONDS);

	Assert.assertEquals("Total messages collected ", totalCount - collectedTuplesAfterCheckpoint + 1, testMeta.sink.collectedTuples.size());
	testMeta.sink.collectedTuples.clear();
	operator.teardown();
	operator.deactivate();
	}

	private KafkaSinglePortStringInputOperator createOperator(boolean isIdempotency)
	{
	Attribute.AttributeMap attributeMap = new Attribute.AttributeMap.DefaultAttributeMap();
	attributeMap.put(Context.OperatorContext.SPIN_MILLIS, 500);
	attributeMap.put(Context.DAGContext.APPLICATION_PATH, testMeta.baseDir);


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

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

	if (isIdempotency) {
	FSWindowDataManager storageManager = new FSWindowDataManager();
	storageManager.setStatePath(testMeta.recoveryDir);
	testMeta.operator.setWindowDataManager(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);
	return operator;
	}

	private KafkaSinglePortStringInputOperator createAndDeployOperator(boolean isIdempotency)
	{
	KafkaSinglePortStringInputOperator operator = createOperator(isIdempotency);
	operator.setup(testMeta.context);
	operator.activate(testMeta.context);

	return operator;

	}

	@Test
	public void testMaxTotalSize() throws InterruptedException
	{
	int totalCount = 1500;
	int maxTotalSize = 500;

	// initial the latch for this test
	latch = new CountDownLatch(1);

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

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

	OperatorContext context = mockOperatorContext(1, attributeMap);
	KafkaSinglePortStringInputOperator operator = new KafkaSinglePortStringInputOperator();

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

	operator.setConsumer(consumer);
	operator.setZookeeper("localhost:" + KafkaOperatorTestBase.TEST_ZOOKEEPER_PORT[0]);
	operator.setMaxTotalMsgSizePerWindow(maxTotalSize);

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

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

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

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

	t.join();

	operator.deactivate();
	operator.teardown();
	int size = 0;
	for (Object o : sink.collectedTuples) {
	size += ((String)o).getBytes().length;
	}
	Assert.assertTrue("Total emitted size comparison", size < maxTotalSize);
	}

	@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/chroot/dir;cluster2::node4:2181");
	latch.await(500, TimeUnit.MILLISECONDS);

	Assert.assertEquals("Total size of clusters ", 2, testMeta.operator.getConsumer().zookeeperMap.size());
	Assert.assertEquals("Connection url for cluster1 ", "node0,node1,node2:2181,node3:2182/chroot/dir", testMeta.operator.getConsumer().zookeeperMap.get("cluster1").iterator().next());
	Assert.assertEquals("Connection url for cluster 2 ", "node4:2181", testMeta.operator.getConsumer().zookeeperMap.get("cluster2").iterator().next());
	}

	}