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	diff --git a/streams/src/main/java/org/apache/kafka/streams/kstream/SlidingWindowSupplier.java b/streams/src/main/java/org/apache/kafka/streams/kstream/SlidingWindowSupplier.java
	index 1d531233..0cf969f7 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/kstream/SlidingWindowSupplier.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/kstream/SlidingWindowSupplier.java
	@@ -1,266 +1,266 @@
	/**
	* 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.kafka.streams.kstream;

	import org.apache.kafka.clients.producer.ProducerRecord;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.IntegerDeserializer;
	import org.apache.kafka.common.serialization.IntegerSerializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.streams.kstream.internals.FilteredIterator;
	import org.apache.kafka.streams.kstream.internals.WindowSupport;
	import org.apache.kafka.streams.processor.StateRestoreCallback;
	import org.apache.kafka.streams.processor.internals.RecordCollector;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.apache.kafka.streams.processor.internals.Stamped;

	import java.util.Collections;
	import java.util.HashMap;
	import java.util.Iterator;
	import java.util.LinkedList;
	import java.util.Map;

	public class SlidingWindowSupplier<K, V> implements WindowSupplier<K, V> {
	private final String name;
	private final long duration;
	private final int maxCount;
	private final Serializer<K> keySerializer;
	private final Serializer<V> valueSerializer;
	private final Deserializer<K> keyDeserializer;
	private final Deserializer<V> valueDeserializer;

	public SlidingWindowSupplier(
	String name,
	long duration,
	int maxCount,
	Serializer<K> keySerializer,
	Serializer<V> valueSerializer,
	Deserializer<K> keyDeseriaizer,
	Deserializer<V> valueDeserializer) {
	this.name = name;
	this.duration = duration;
	this.maxCount = maxCount;
	this.keySerializer = keySerializer;
	this.valueSerializer = valueSerializer;
	this.keyDeserializer = keyDeseriaizer;
	this.valueDeserializer = valueDeserializer;
	}

	@Override
	public String name() {
	return name;
	}

	@Override
	public Window<K, V> get() {
	return new SlidingWindow();
	}

	public class SlidingWindow extends WindowSupport implements Window<K, V> {
	private final Object lock = new Object();
	private ProcessorContext context;
	private int partition;
	private int slotNum; // used as a key for Kafka log compaction
	private LinkedList<K> list = new LinkedList<K>();
	private HashMap<K, ValueList<V>> map = new HashMap<>();

	@Override
	public void init(ProcessorContext context) {
	this.context = context;
	- this.partition = context.id();
	+ this.partition = context.id().partition;
	SlidingWindowRegistryCallback restoreFunc = new SlidingWindowRegistryCallback();
	context.register(this, restoreFunc);

	for (ValueList<V> valueList : map.values()) {
	valueList.clearDirtyValues();
	}
	this.slotNum = restoreFunc.slotNum;
	}

	@Override
	public Iterator<V> findAfter(K key, final long timestamp) {
	return find(key, timestamp, timestamp + duration);
	}

	@Override
	public Iterator<V> findBefore(K key, final long timestamp) {
	return find(key, timestamp - duration, timestamp);
	}

	@Override
	public Iterator<V> find(K key, final long timestamp) {
	return find(key, timestamp - duration, timestamp + duration);
	}

	/*
	* finds items in the window between startTime and endTime (both inclusive)
	*/
	private Iterator<V> find(K key, final long startTime, final long endTime) {
	final ValueList<V> values = map.get(key);

	if (values == null) {
	return Collections.emptyIterator();
	} else {
	return new FilteredIterator<V, Value<V>>(values.iterator()) {
	@Override
	protected V filter(Value<V> item) {
	if (startTime <= item.timestamp && item.timestamp <= endTime)
	return item.value;
	else
	return null;
	}
	};
	}
	}

	@Override
	public void put(K key, V value, long timestamp) {
	synchronized (lock) {
	slotNum++;

	list.offerLast(key);

	ValueList<V> values = map.get(key);
	if (values == null) {
	values = new ValueList<>();
	map.put(key, values);
	}

	values.add(slotNum, value, timestamp);
	}
	evictExcess();
	evictExpired(timestamp - duration);
	}

	private void evictExcess() {
	while (list.size() > maxCount) {
	K oldestKey = list.pollFirst();

	ValueList<V> values = map.get(oldestKey);
	values.removeFirst();

	if (values.isEmpty()) map.remove(oldestKey);
	}
	}

	private void evictExpired(long cutoffTime) {
	while (true) {
	K oldestKey = list.peekFirst();

	ValueList<V> values = map.get(oldestKey);
	Stamped<V> oldestValue = values.first();

	if (oldestValue.timestamp < cutoffTime) {
	list.pollFirst();
	values.removeFirst();

	if (values.isEmpty()) map.remove(oldestKey);
	} else {
	break;
	}
	}
	}

	@Override
	public String name() {
	return name;
	}

	@Override
	public void flush() {
	IntegerSerializer intSerializer = new IntegerSerializer();
	ByteArraySerializer byteArraySerializer = new ByteArraySerializer();

	RecordCollector collector = ((RecordCollector.Supplier) context).recordCollector();

	for (Map.Entry<K, ValueList<V>> entry : map.entrySet()) {
	ValueList<V> values = entry.getValue();
	if (values.hasDirtyValues()) {
	K key = entry.getKey();

	byte[] keyBytes = keySerializer.serialize(name, key);

	Iterator<Value<V>> iterator = values.dirtyValueIterator();
	while (iterator.hasNext()) {
	Value<V> dirtyValue = iterator.next();
	byte[] slot = intSerializer.serialize("", dirtyValue.slotNum);
	byte[] valBytes = valueSerializer.serialize(name, dirtyValue.value);

	byte[] combined = new byte[8 + 4 + keyBytes.length + 4 + valBytes.length];

	int offset = 0;
	offset += putLong(combined, offset, dirtyValue.timestamp);
	offset += puts(combined, offset, keyBytes);
	offset += puts(combined, offset, valBytes);

	if (offset != combined.length)
	throw new IllegalStateException("serialized length does not match");

	collector.send(new ProducerRecord<>(name, partition, slot, combined), byteArraySerializer, byteArraySerializer);
	}
	values.clearDirtyValues();
	}
	}
	}

	@Override
	public void close() {
	// TODO
	}

	@Override
	public boolean persistent() {
	// TODO: should not be persistent, right?
	return false;
	}

	private class SlidingWindowRegistryCallback implements StateRestoreCallback {

	final IntegerDeserializer intDeserializer;
	int slotNum = 0;

	SlidingWindowRegistryCallback() {
	intDeserializer = new IntegerDeserializer();
	}

	@Override
	public void restore(byte[] slot, byte[] bytes) {

	slotNum = intDeserializer.deserialize("", slot);

	int offset = 0;
	// timestamp
	long timestamp = getLong(bytes, offset);
	offset += 8;
	// key
	int length = getInt(bytes, offset);
	offset += 4;
	K key = deserialize(bytes, offset, length, name, keyDeserializer);
	offset += length;
	// value
	length = getInt(bytes, offset);
	offset += 4;
	V value = deserialize(bytes, offset, length, name, valueDeserializer);

	put(key, value, timestamp);
	}
	}
	}

	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/DefaultPartitionGrouper.java b/streams/src/main/java/org/apache/kafka/streams/processor/DefaultPartitionGrouper.java
	index f87cfa81..7d2188a2 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/DefaultPartitionGrouper.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/DefaultPartitionGrouper.java
	@@ -1,97 +1,73 @@
	/**
	* 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.kafka.streams.processor;

	import org.apache.kafka.common.Cluster;
	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.PartitionInfo;
	import org.apache.kafka.common.TopicPartition;

	-import java.util.ArrayList;
	-import java.util.Arrays;
	-import java.util.Collection;
	import java.util.Collections;
	import java.util.HashMap;
	+import java.util.HashSet;
	import java.util.List;
	import java.util.Map;
	import java.util.Set;
	-import java.util.TreeMap;

	public class DefaultPartitionGrouper extends PartitionGrouper {

	- public Map<Integer, List<TopicPartition>> partitionGroups(Cluster metadata) {
	- Map<Integer, List<TopicPartition>> groups = new HashMap<>();
	- List<List<String>> sortedTopicGroups = sort(topicGroups);
	+ public Map<TaskId, Set<TopicPartition>> partitionGroups(Cluster metadata) {
	+ Map<TaskId, Set<TopicPartition>> groups = new HashMap<>();
	+
	+ for (Map.Entry<Integer, Set<String>> entry : topicGroups.entrySet()) {
	+ Integer topicGroupId = entry.getKey();
	+ Set<String> topicGroup = entry.getValue();

	- int taskId = 0;
	- for (List<String> topicGroup : sortedTopicGroups) {
	int maxNumPartitions = maxNumPartitions(metadata, topicGroup);

	for (int partitionId = 0; partitionId < maxNumPartitions; partitionId++) {
	- List<TopicPartition> group = new ArrayList<>(topicGroup.size());
	+ Set<TopicPartition> group = new HashSet<>(topicGroup.size());

	for (String topic : topicGroup) {
	if (partitionId < metadata.partitionsForTopic(topic).size()) {
	group.add(new TopicPartition(topic, partitionId));
	}
	}
	- groups.put(taskId++, group);
	+ groups.put(new TaskId(topicGroupId, partitionId), Collections.unmodifiableSet(group));
	}
	}

	- // make the data unmodifiable, then return
	- Map<Integer, List<TopicPartition>> unmodifiableGroups = new HashMap<>();
	- for (Map.Entry<Integer, List<TopicPartition>> entry : groups.entrySet()) {
	- unmodifiableGroups.put(entry.getKey(), Collections.unmodifiableList(entry.getValue()));
	- }
	- return Collections.unmodifiableMap(unmodifiableGroups);
	+ return Collections.unmodifiableMap(groups);
	}

	- protected int maxNumPartitions(Cluster metadata, List<String> topics) {
	+ protected int maxNumPartitions(Cluster metadata, Set<String> topics) {
	int maxNumPartitions = 0;
	for (String topic : topics) {
	List<PartitionInfo> infos = metadata.partitionsForTopic(topic);

	if (infos == null)
	throw new KafkaException("topic not found :" + topic);

	int numPartitions = infos.size();
	if (numPartitions > maxNumPartitions)
	maxNumPartitions = numPartitions;
	}
	return maxNumPartitions;
	}

	- protected List<List<String>> sort(Collection<Set<String>> topicGroups) {
	- TreeMap<String, String[]> sortedMap = new TreeMap<>();
	-
	- for (Set<String> group : topicGroups) {
	- String[] arr = group.toArray(new String[group.size()]);
	- Arrays.sort(arr);
	- sortedMap.put(arr[0], arr);
	- }
	-
	- ArrayList<List<String>> list = new ArrayList(sortedMap.size());
	- for (String[] arr : sortedMap.values()) {
	- list.add(Arrays.asList(arr));
	- }
	-
	- return list;
	- }
	-
	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/PartitionGrouper.java b/streams/src/main/java/org/apache/kafka/streams/processor/PartitionGrouper.java
	index 82bb36a2..026ec89f 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/PartitionGrouper.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/PartitionGrouper.java
	@@ -1,55 +1,53 @@
	/**
	* 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.kafka.streams.processor;

	import org.apache.kafka.common.Cluster;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.streams.processor.internals.KafkaStreamingPartitionAssignor;

	-import java.util.Collection;
	-import java.util.List;
	import java.util.Map;
	import java.util.Set;

	public abstract class PartitionGrouper {

	- protected Collection<Set<String>> topicGroups;
	+ protected Map<Integer, Set<String>> topicGroups;

	private KafkaStreamingPartitionAssignor partitionAssignor = null;

	/**
	* Returns a map of task ids to groups of partitions.
	*
	* @param metadata
	* @return a map of task ids to groups of partitions
	*/
	- public abstract Map<Integer, List<TopicPartition>> partitionGroups(Cluster metadata);
	+ public abstract Map<TaskId, Set<TopicPartition>> partitionGroups(Cluster metadata);

	- public void topicGroups(Collection<Set<String>> topicGroups) {
	+ public void topicGroups(Map<Integer, Set<String>> topicGroups) {
	this.topicGroups = topicGroups;
	}

	public void partitionAssignor(KafkaStreamingPartitionAssignor partitionAssignor) {
	this.partitionAssignor = partitionAssignor;
	}

	- public Set<Integer> taskIds(TopicPartition partition) {
	+ public Set<TaskId> taskIds(TopicPartition partition) {
	return partitionAssignor.taskIds(partition);
	}

	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/ProcessorContext.java b/streams/src/main/java/org/apache/kafka/streams/processor/ProcessorContext.java
	index e7cf2573..88ac64e2 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/ProcessorContext.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/ProcessorContext.java
	@@ -1,101 +1,101 @@
	/**
	* 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.kafka.streams.processor;

	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.streams.StreamingMetrics;

	import java.io.File;

	public interface ProcessorContext {

	/**
	* Returns the task id
	*
	* @return the task id
	*/
	- int id();
	+ TaskId id();

	/**
	* Returns the key serializer
	*
	* @return the key serializer
	*/
	Serializer<?> keySerializer();

	/**
	* Returns the value serializer
	*
	* @return the value serializer
	*/
	Serializer<?> valueSerializer();

	/**
	* Returns the key deserializer
	*
	* @return the key deserializer
	*/
	Deserializer<?> keyDeserializer();

	/**
	* Returns the value deserializer
	*
	* @return the value deserializer
	*/
	Deserializer<?> valueDeserializer();

	/**
	* Returns the state directory for the partition.
	*
	* @return the state directory
	*/
	File stateDir();

	/**
	* Returns Metrics instance
	*
	* @return StreamingMetrics
	*/
	StreamingMetrics metrics();

	/**
	* Registers and possibly restores the specified storage engine.
	*
	* @param store the storage engine
	*/
	void register(StateStore store, StateRestoreCallback stateRestoreCallback);

	StateStore getStateStore(String name);

	void schedule(long interval);

	<K, V> void forward(K key, V value);

	<K, V> void forward(K key, V value, int childIndex);

	void commit();

	String topic();

	int partition();

	long offset();

	long timestamp();
	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/TaskId.java b/streams/src/main/java/org/apache/kafka/streams/processor/TaskId.java
	new file mode 100644
	index 00000000..3d474fe4
	--- /dev/null
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/TaskId.java
	@@ -0,0 +1,66 @@
	+/**
	+ * 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.kafka.streams.processor;
	+
	+public class TaskId {
	+
	+ public final int topicGroupId;
	+ public final int partition;
	+
	+ public TaskId(int topicGroupId, int partition) {
	+ this.topicGroupId = topicGroupId;
	+ this.partition = partition;
	+ }
	+
	+ public String toString() {
	+ return topicGroupId + "_" + partition;
	+ }
	+
	+ public static TaskId parse(String string) {
	+ int index = string.indexOf('_');
	+ if (index <= 0 \|\| index + 1 >= string.length()) throw new TaskIdFormatException();
	+
	+ try {
	+ int topicGroupId = Integer.parseInt(string.substring(0, index));
	+ int partition = Integer.parseInt(string.substring(index + 1));
	+
	+ return new TaskId(topicGroupId, partition);
	+ } catch (Exception e) {
	+ throw new TaskIdFormatException();
	+ }
	+ }
	+
	+ @Override
	+ public boolean equals(Object o) {
	+ if (o instanceof TaskId) {
	+ TaskId other = (TaskId) o;
	+ return other.topicGroupId == this.topicGroupId && other.partition == this.partition;
	+ } else {
	+ return false;
	+ }
	+ }
	+
	+ @Override
	+ public int hashCode() {
	+ long n = ((long) topicGroupId << 32) \| (long) partition;
	+ return (int) (n % 0xFFFFFFFFL);
	+ }
	+
	+ public static class TaskIdFormatException extends RuntimeException {
	+ }
	+}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/TopologyBuilder.java b/streams/src/main/java/org/apache/kafka/streams/processor/TopologyBuilder.java
	index a475e1ec..077489c2 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/TopologyBuilder.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/TopologyBuilder.java
	@@ -1,371 +1,398 @@
	/**
	* 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.kafka.streams.processor;

	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	+import org.apache.kafka.common.utils.Utils;
	import org.apache.kafka.streams.processor.internals.ProcessorNode;
	import org.apache.kafka.streams.processor.internals.ProcessorTopology;
	import org.apache.kafka.streams.processor.internals.QuickUnion;
	import org.apache.kafka.streams.processor.internals.SinkNode;
	import org.apache.kafka.streams.processor.internals.SourceNode;

	import java.util.ArrayList;
	import java.util.Arrays;
	import java.util.Collection;
	import java.util.Collections;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.List;
	import java.util.Map;
	import java.util.Set;

	/**
	* A component that is used to build a {@link ProcessorTopology}. A topology contains an acyclic graph of sources, processors,
	* and sinks. A {@link SourceNode source} is a node in the graph that consumes one or more Kafka topics and forwards them to
	* its child nodes. A {@link Processor processor} is a node in the graph that receives input messages from upstream nodes,
	* processes that message, and optionally forwarding new messages to one or all of its children. Finally, a {@link SinkNode sink}
	* is a node in the graph that receives messages from upstream nodes and writes them to a Kafka topic. This builder allows you
	* to construct an acyclic graph of these nodes, and the builder is then passed into a new {@link KafkaStreaming} instance
	* that will then {@link KafkaStreaming#start() begin consuming, processing, and producing messages}.
	*/
	public class TopologyBuilder {

	// list of node factories in a topological order
	private final ArrayList<NodeFactory> nodeFactories = new ArrayList<>();

	private final Set<String> nodeNames = new HashSet<>();
	private final Set<String> sourceTopicNames = new HashSet<>();

	- private final QuickUnion<String> nodeGroups = new QuickUnion<>();
	+ private final QuickUnion<String> nodeGrouper = new QuickUnion<>();
	private final List<Set<String>> copartitionSourceGroups = new ArrayList<>();
	private final HashMap<String, String[]> nodeToTopics = new HashMap<>();
	+ private Map<Integer, Set<String>> nodeGroups = null;

	private interface NodeFactory {
	ProcessorNode build();
	}

	private class ProcessorNodeFactory implements NodeFactory {
	public final String[] parents;
	private final String name;
	private final ProcessorSupplier supplier;

	public ProcessorNodeFactory(String name, String[] parents, ProcessorSupplier supplier) {
	this.name = name;
	this.parents = parents.clone();
	this.supplier = supplier;
	}

	@Override
	public ProcessorNode build() {
	return new ProcessorNode(name, supplier.get());
	}
	}

	private class SourceNodeFactory implements NodeFactory {
	public final String[] topics;
	private final String name;
	private Deserializer keyDeserializer;
	private Deserializer valDeserializer;

	private SourceNodeFactory(String name, String[] topics, Deserializer keyDeserializer, Deserializer valDeserializer) {
	this.name = name;
	this.topics = topics.clone();
	this.keyDeserializer = keyDeserializer;
	this.valDeserializer = valDeserializer;
	}

	@Override
	public ProcessorNode build() {
	return new SourceNode(name, keyDeserializer, valDeserializer);
	}
	}

	private class SinkNodeFactory implements NodeFactory {
	public final String[] parents;
	public final String topic;
	private final String name;
	private Serializer keySerializer;
	private Serializer valSerializer;

	private SinkNodeFactory(String name, String[] parents, String topic, Serializer keySerializer, Serializer valSerializer) {
	this.name = name;
	this.parents = parents.clone();
	this.topic = topic;
	this.keySerializer = keySerializer;
	this.valSerializer = valSerializer;
	}
	@Override
	public ProcessorNode build() {
	return new SinkNode(name, topic, keySerializer, valSerializer);
	}
	}

	/**
	* Create a new builder.
	*/
	public TopologyBuilder() {}

	/**
	* Add a new source that consumes the named topics and forwards the messages to child processor and/or sink nodes.
	* The source will use the {@link StreamingConfig#KEY_DESERIALIZER_CLASS_CONFIG default key deserializer} and
	* {@link StreamingConfig#VALUE_DESERIALIZER_CLASS_CONFIG default value deserializer} specified in the
	* {@link StreamingConfig streaming configuration}.
	*
	* @param name the unique name of the source used to reference this node when
	* {@link #addProcessor(String, ProcessorSupplier, String...) adding processor children}.
	* @param topics the name of one or more Kafka topics that this source is to consume
	* @return this builder instance so methods can be chained together; never null
	*/
	public final TopologyBuilder addSource(String name, String... topics) {
	return addSource(name, (Deserializer) null, (Deserializer) null, topics);
	}

	/**
	* Add a new source that consumes the named topics and forwards the messages to child processor and/or sink nodes.
	* The sink will use the specified key and value deserializers.
	*
	* @param name the unique name of the source used to reference this node when
	* {@link #addProcessor(String, ProcessorSupplier, String...) adding processor children}.
	* @param keyDeserializer the {@link Deserializer key deserializer} used when consuming messages; may be null if the source
	* should use the {@link StreamingConfig#KEY_DESERIALIZER_CLASS_CONFIG default key deserializer} specified in the
	* {@link StreamingConfig streaming configuration}
	* @param valDeserializer the {@link Deserializer value deserializer} used when consuming messages; may be null if the source
	* should use the {@link StreamingConfig#VALUE_DESERIALIZER_CLASS_CONFIG default value deserializer} specified in the
	* {@link StreamingConfig streaming configuration}
	* @param topics the name of one or more Kafka topics that this source is to consume
	* @return this builder instance so methods can be chained together; never null
	*/
	public final TopologyBuilder addSource(String name, Deserializer keyDeserializer, Deserializer valDeserializer, String... topics) {
	if (nodeNames.contains(name))
	throw new TopologyException("Processor " + name + " is already added.");

	for (String topic : topics) {
	if (sourceTopicNames.contains(topic))
	throw new TopologyException("Topic " + topic + " has already been registered by another source.");

	sourceTopicNames.add(topic);
	}

	nodeNames.add(name);
	nodeFactories.add(new SourceNodeFactory(name, topics, keyDeserializer, valDeserializer));
	nodeToTopics.put(name, topics.clone());
	- nodeGroups.add(name);
	+ nodeGrouper.add(name);

	return this;
	}

	/**
	* Add a new sink that forwards messages from upstream parent processor and/or source nodes to the named Kafka topic.
	* The sink will use the {@link StreamingConfig#KEY_SERIALIZER_CLASS_CONFIG default key serializer} and
	* {@link StreamingConfig#VALUE_SERIALIZER_CLASS_CONFIG default value serializer} specified in the
	* {@link StreamingConfig streaming configuration}.
	*
	* @param name the unique name of the sink
	* @param topic the name of the Kafka topic to which this sink should write its messages
	* @return this builder instance so methods can be chained together; never null
	*/
	public final TopologyBuilder addSink(String name, String topic, String... parentNames) {
	return addSink(name, topic, (Serializer) null, (Serializer) null, parentNames);
	}

	/**
	* Add a new sink that forwards messages from upstream parent processor and/or source nodes to the named Kafka topic.
	* The sink will use the specified key and value serializers.
	*
	* @param name the unique name of the sink
	* @param topic the name of the Kafka topic to which this sink should write its messages
	* @param keySerializer the {@link Serializer key serializer} used when consuming messages; may be null if the sink
	* should use the {@link StreamingConfig#KEY_SERIALIZER_CLASS_CONFIG default key serializer} specified in the
	* {@link StreamingConfig streaming configuration}
	* @param valSerializer the {@link Serializer value serializer} used when consuming messages; may be null if the sink
	* should use the {@link StreamingConfig#VALUE_SERIALIZER_CLASS_CONFIG default value serializer} specified in the
	* {@link StreamingConfig streaming configuration}
	* @param parentNames the name of one or more source or processor nodes whose output message this sink should consume
	* and write to its topic
	* @return this builder instance so methods can be chained together; never null
	*/
	public final TopologyBuilder addSink(String name, String topic, Serializer keySerializer, Serializer valSerializer, String... parentNames) {
	if (nodeNames.contains(name))
	throw new TopologyException("Processor " + name + " is already added.");

	if (parentNames != null) {
	for (String parent : parentNames) {
	if (parent.equals(name)) {
	throw new TopologyException("Processor " + name + " cannot be a parent of itself.");
	}
	if (!nodeNames.contains(parent)) {
	throw new TopologyException("Parent processor " + parent + " is not added yet.");
	}
	}
	}

	nodeNames.add(name);
	nodeFactories.add(new SinkNodeFactory(name, parentNames, topic, keySerializer, valSerializer));
	return this;
	}

	/**
	* Add a new processor node that receives and processes messages output by one or more parent source or processor node.
	* Any new messages output by this processor will be forwarded to its child processor or sink nodes.
	* @param name the unique name of the processor node
	* @param supplier the supplier used to obtain this node's {@link Processor} instance
	* @param parentNames the name of one or more source or processor nodes whose output messages this processor should receive
	* and process
	* @return this builder instance so methods can be chained together; never null
	*/
	public final TopologyBuilder addProcessor(String name, ProcessorSupplier supplier, String... parentNames) {
	if (nodeNames.contains(name))
	throw new TopologyException("Processor " + name + " is already added.");

	if (parentNames != null) {
	for (String parent : parentNames) {
	if (parent.equals(name)) {
	throw new TopologyException("Processor " + name + " cannot be a parent of itself.");
	}
	if (!nodeNames.contains(parent)) {
	throw new TopologyException("Parent processor " + parent + " is not added yet.");
	}
	}
	}

	nodeNames.add(name);
	nodeFactories.add(new ProcessorNodeFactory(name, parentNames, supplier));
	- nodeGroups.add(name);
	- nodeGroups.unite(name, parentNames);
	+ nodeGrouper.add(name);
	+ nodeGrouper.unite(name, parentNames);
	return this;
	}

	/**
	- * Returns the topic groups.
	+ * Returns the map of topic groups keyed by the group id.
	* A topic group is a group of topics in the same task.
	*
	* @return groups of topic names
	*/
	- public Collection<Set<String>> topicGroups() {
	- List<Set<String>> topicGroups = new ArrayList<>();
	+ public Map<Integer, Set<String>> topicGroups() {
	+ Map<Integer, Set<String>> topicGroups = new HashMap<>();

	- for (Set<String> nodeGroup : generateNodeGroups(nodeGroups)) {
	+ if (nodeGroups == null) {
	+ nodeGroups = nodeGroups();
	+ } else if (!nodeGroups.equals(nodeGroups())) {
	+ throw new TopologyException("topology has mutated");
	+ }
	+
	+ for (Map.Entry<Integer, Set<String>> entry : nodeGroups.entrySet()) {
	Set<String> topicGroup = new HashSet<>();
	- for (String node : nodeGroup) {
	+ for (String node : entry.getValue()) {
	String[] topics = nodeToTopics.get(node);
	if (topics != null)
	topicGroup.addAll(Arrays.asList(topics));
	}
	- topicGroups.add(Collections.unmodifiableSet(topicGroup));
	+ topicGroups.put(entry.getKey(), Collections.unmodifiableSet(topicGroup));
	}

	- return Collections.unmodifiableList(topicGroups);
	+ return Collections.unmodifiableMap(topicGroups);
	}

	- private Collection<Set<String>> generateNodeGroups(QuickUnion<String> grouping) {
	- HashMap<String, Set<String>> nodeGroupMap = new HashMap<>();
	+ private Map<Integer, Set<String>> nodeGroups() {
	+ HashMap<Integer, Set<String>> nodeGroups = new HashMap<>();
	+ HashMap<String, Set<String>> rootToNodeGroup = new HashMap<>();

	- for (String nodeName : nodeNames) {
	- String root = grouping.root(nodeName);
	- Set<String> nodeGroup = nodeGroupMap.get(root);
	+ int nodeGroupId = 0;
	+
	+ // Go through source nodes first. This makes the group id assignment easy to predict in tests
	+ for (String nodeName : Utils.sorted(nodeToTopics.keySet())) {
	+ String root = nodeGrouper.root(nodeName);
	+ Set<String> nodeGroup = rootToNodeGroup.get(root);
	if (nodeGroup == null) {
	nodeGroup = new HashSet<>();
	- nodeGroupMap.put(root, nodeGroup);
	+ rootToNodeGroup.put(root, nodeGroup);
	+ nodeGroups.put(nodeGroupId++, nodeGroup);
	}
	nodeGroup.add(nodeName);
	}

	- return nodeGroupMap.values();
	+ // Go through non-source nodes
	+ for (String nodeName : Utils.sorted(nodeNames)) {
	+ if (!nodeToTopics.containsKey(nodeName)) {
	+ String root = nodeGrouper.root(nodeName);
	+ Set<String> nodeGroup = rootToNodeGroup.get(root);
	+ if (nodeGroup == null) {
	+ nodeGroup = new HashSet<>();
	+ rootToNodeGroup.put(root, nodeGroup);
	+ nodeGroups.put(nodeGroupId++, nodeGroup);
	+ }
	+ nodeGroup.add(nodeName);
	+ }
	+ }
	+
	+ return nodeGroups;
	}

	/**
	* Asserts that the streams of the specified source nodes must be copartitioned.
	*
	* @param sourceNodes a set of source node names
	*/
	public void copartitionSources(Collection<String> sourceNodes) {
	copartitionSourceGroups.add(Collections.unmodifiableSet(new HashSet<>(sourceNodes)));
	}

	/**
	* Returns the copartition groups.
	* A copartition group is a group of topics that are required to be copartitioned.
	*
	* @return groups of topic names
	*/
	public Collection<Set<String>> copartitionGroups() {
	List<Set<String>> list = new ArrayList<>(copartitionSourceGroups.size());
	for (Set<String> nodeNames : copartitionSourceGroups) {
	Set<String> copartitionGroup = new HashSet<>();
	for (String node : nodeNames) {
	String[] topics = nodeToTopics.get(node);
	if (topics != null)
	copartitionGroup.addAll(Arrays.asList(topics));
	}
	list.add(Collections.unmodifiableSet(copartitionGroup));
	}
	return Collections.unmodifiableList(list);
	}

	/**
	* Build the topology. This is typically called automatically when passing this builder into the
	* {@link KafkaStreaming#KafkaStreaming(TopologyBuilder, StreamingConfig)} constructor.
	*
	* @see KafkaStreaming#KafkaStreaming(TopologyBuilder, StreamingConfig)
	*/
	@SuppressWarnings("unchecked")
	public ProcessorTopology build() {
	List<ProcessorNode> processorNodes = new ArrayList<>(nodeFactories.size());
	Map<String, ProcessorNode> processorMap = new HashMap<>();
	Map<String, SourceNode> topicSourceMap = new HashMap<>();

	try {
	// create processor nodes in a topological order ("nodeFactories" is already topologically sorted)
	for (NodeFactory factory : nodeFactories) {
	ProcessorNode node = factory.build();
	processorNodes.add(node);
	processorMap.put(node.name(), node);

	if (factory instanceof ProcessorNodeFactory) {
	for (String parent : ((ProcessorNodeFactory) factory).parents) {
	processorMap.get(parent).addChild(node);
	}
	} else if (factory instanceof SourceNodeFactory) {
	for (String topic : ((SourceNodeFactory) factory).topics) {
	topicSourceMap.put(topic, (SourceNode) node);
	}
	} else if (factory instanceof SinkNodeFactory) {
	for (String parent : ((SinkNodeFactory) factory).parents) {
	processorMap.get(parent).addChild(node);
	}
	} else {
	throw new TopologyException("Unknown definition class: " + factory.getClass().getName());
	}
	}
	} catch (Exception e) {
	throw new KafkaException("ProcessorNode construction failed: this should not happen.");
	}

	return new ProcessorTopology(processorNodes, topicSourceMap);
	}

	/**
	* Get the names of topics that are to be consumed by the source nodes created by this builder.
	* @return the unmodifiable set of topic names used by source nodes, which changes as new sources are added; never null
	*/
	public Set<String> sourceTopics() {
	return Collections.unmodifiableSet(sourceTopicNames);
	}
	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/internals/KafkaStreamingPartitionAssignor.java b/streams/src/main/java/org/apache/kafka/streams/processor/internals/KafkaStreamingPartitionAssignor.java
	index ee5bb93a..f7b14ad3 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/internals/KafkaStreamingPartitionAssignor.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/internals/KafkaStreamingPartitionAssignor.java
	@@ -1,133 +1,135 @@
	/**
	* 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.kafka.streams.processor.internals;

	import org.apache.kafka.clients.consumer.internals.PartitionAssignor;
	import org.apache.kafka.common.Cluster;
	import org.apache.kafka.common.Configurable;
	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.processor.PartitionGrouper;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.slf4j.Logger;
	import org.slf4j.LoggerFactory;

	import java.nio.ByteBuffer;
	import java.util.ArrayList;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.List;
	import java.util.Map;
	import java.util.Set;

	public class KafkaStreamingPartitionAssignor implements PartitionAssignor, Configurable {

	private static final Logger log = LoggerFactory.getLogger(KafkaStreamingPartitionAssignor.class);

	private PartitionGrouper partitionGrouper;
	- private Map<TopicPartition, Set<Integer>> partitionToTaskIds;
	+ private Map<TopicPartition, Set<TaskId>> partitionToTaskIds;

	@Override
	public void configure(Map<String, ?> configs) {
	Object o = configs.get(StreamingConfig.InternalConfig.PARTITION_GROUPER_INSTANCE);
	if (o == null)
	throw new KafkaException("PartitionGrouper is not specified");

	if (!PartitionGrouper.class.isInstance(o))
	throw new KafkaException(o.getClass().getName() + " is not an instance of " + PartitionGrouper.class.getName());

	partitionGrouper = (PartitionGrouper) o;
	partitionGrouper.partitionAssignor(this);
	}

	@Override
	public String name() {
	return "streaming";
	}

	@Override
	public Subscription subscription(Set<String> topics) {
	return new Subscription(new ArrayList<>(topics));
	}

	@Override
	public Map<String, Assignment> assign(Cluster metadata, Map<String, Subscription> subscriptions) {
	- Map<Integer, List<TopicPartition>> partitionGroups = partitionGrouper.partitionGroups(metadata);
	+ Map<TaskId, Set<TopicPartition>> partitionGroups = partitionGrouper.partitionGroups(metadata);

	String[] clientIds = subscriptions.keySet().toArray(new String[subscriptions.size()]);
	- Integer[] taskIds = partitionGroups.keySet().toArray(new Integer[partitionGroups.size()]);
	+ TaskId[] taskIds = partitionGroups.keySet().toArray(new TaskId[partitionGroups.size()]);

	Map<String, Assignment> assignment = new HashMap<>();

	for (int i = 0; i < clientIds.length; i++) {
	List<TopicPartition> partitions = new ArrayList<>();
	- List<Integer> ids = new ArrayList<>();
	+ List<TaskId> ids = new ArrayList<>();
	for (int j = i; j < taskIds.length; j += clientIds.length) {
	- Integer taskId = taskIds[j];
	+ TaskId taskId = taskIds[j];
	for (TopicPartition partition : partitionGroups.get(taskId)) {
	partitions.add(partition);
	ids.add(taskId);
	}
	}
	- ByteBuffer buf = ByteBuffer.allocate(4 + ids.size() * 4);
	+ ByteBuffer buf = ByteBuffer.allocate(4 + ids.size() * 8);
	//version
	buf.putInt(1);
	// encode task ids
	- for (Integer id : ids) {
	- buf.putInt(id);
	+ for (TaskId id : ids) {
	+ buf.putInt(id.topicGroupId);
	+ buf.putInt(id.partition);
	}
	buf.rewind();
	assignment.put(clientIds[i], new Assignment(partitions, buf));
	}

	return assignment;
	}

	@Override
	public void onAssignment(Assignment assignment) {
	List<TopicPartition> partitions = assignment.partitions();
	ByteBuffer data = assignment.userData();
	data.rewind();

	- Map<TopicPartition, Set<Integer>> partitionToTaskIds = new HashMap<>();
	+ Map<TopicPartition, Set<TaskId>> partitionToTaskIds = new HashMap<>();

	// check version
	int version = data.getInt();
	if (version == 1) {
	for (TopicPartition partition : partitions) {
	- Set<Integer> taskIds = partitionToTaskIds.get(partition);
	+ Set<TaskId> taskIds = partitionToTaskIds.get(partition);
	if (taskIds == null) {
	taskIds = new HashSet<>();
	partitionToTaskIds.put(partition, taskIds);
	}
	// decode a task id
	- taskIds.add(data.getInt());
	+ taskIds.add(new TaskId(data.getInt(), data.getInt()));
	}
	} else {
	KafkaException ex = new KafkaException("unknown assignment data version: " + version);
	log.error(ex.getMessage(), ex);
	throw ex;
	}
	this.partitionToTaskIds = partitionToTaskIds;
	}

	- public Set<Integer> taskIds(TopicPartition partition) {
	+ public Set<TaskId> taskIds(TopicPartition partition) {
	return partitionToTaskIds.get(partition);
	}

	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/internals/ProcessorContextImpl.java b/streams/src/main/java/org/apache/kafka/streams/processor/internals/ProcessorContextImpl.java
	index dfc838ce..3c1e0595 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/internals/ProcessorContextImpl.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/internals/ProcessorContextImpl.java
	@@ -1,180 +1,180 @@
	/**
	* 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.kafka.streams.processor.internals;

	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.apache.kafka.streams.processor.StateStore;
	import org.apache.kafka.streams.processor.StateRestoreCallback;
	+import org.apache.kafka.streams.processor.TaskId;

	import org.slf4j.Logger;
	import org.slf4j.LoggerFactory;

	import java.io.File;

	public class ProcessorContextImpl implements ProcessorContext, RecordCollector.Supplier {

	private static final Logger log = LoggerFactory.getLogger(ProcessorContextImpl.class);

	- private final int id;
	+ private final TaskId id;
	private final StreamTask task;
	private final StreamingMetrics metrics;
	private final RecordCollector collector;
	private final ProcessorStateManager stateMgr;

	private final Serializer<?> keySerializer;
	private final Serializer<?> valSerializer;
	private final Deserializer<?> keyDeserializer;
	private final Deserializer<?> valDeserializer;

	private boolean initialized;

	@SuppressWarnings("unchecked")
	- public ProcessorContextImpl(int id,
	+ public ProcessorContextImpl(TaskId id,
	StreamTask task,
	StreamingConfig config,
	RecordCollector collector,
	ProcessorStateManager stateMgr,
	StreamingMetrics metrics) {
	this.id = id;
	this.task = task;
	this.metrics = metrics;
	this.collector = collector;
	this.stateMgr = stateMgr;

	this.keySerializer = config.getConfiguredInstance(StreamingConfig.KEY_SERIALIZER_CLASS_CONFIG, Serializer.class);
	this.valSerializer = config.getConfiguredInstance(StreamingConfig.VALUE_SERIALIZER_CLASS_CONFIG, Serializer.class);
	this.keyDeserializer = config.getConfiguredInstance(StreamingConfig.KEY_DESERIALIZER_CLASS_CONFIG, Deserializer.class);
	this.valDeserializer = config.getConfiguredInstance(StreamingConfig.VALUE_DESERIALIZER_CLASS_CONFIG, Deserializer.class);

	this.initialized = false;
	}

	@Override
	public RecordCollector recordCollector() {
	return this.collector;
	}

	public void initialized() {
	this.initialized = true;
	}

	- @Override
	- public int id() {
	+ public TaskId id() {
	return id;
	}

	@Override
	public Serializer<?> keySerializer() {
	return this.keySerializer;
	}

	@Override
	public Serializer<?> valueSerializer() {
	return this.valSerializer;
	}

	@Override
	public Deserializer<?> keyDeserializer() {
	return this.keyDeserializer;
	}

	@Override
	public Deserializer<?> valueDeserializer() {
	return this.valDeserializer;
	}

	@Override
	public File stateDir() {
	return stateMgr.baseDir();
	}

	@Override
	public StreamingMetrics metrics() {
	return metrics;
	}

	@Override
	public void register(StateStore store, StateRestoreCallback stateRestoreCallback) {
	if (initialized)
	throw new KafkaException("Can only create state stores during initialization.");

	stateMgr.register(store, stateRestoreCallback);
	}

	@Override
	public StateStore getStateStore(String name) {
	return stateMgr.getStore(name);
	}

	@Override
	public String topic() {
	if (task.record() == null)
	throw new IllegalStateException("this should not happen as topic() should only be called while a record is processed");

	return task.record().topic();
	}

	@Override
	public int partition() {
	if (task.record() == null)
	throw new IllegalStateException("this should not happen as partition() should only be called while a record is processed");

	return task.record().partition();
	}

	@Override
	public long offset() {
	if (this.task.record() == null)
	throw new IllegalStateException("this should not happen as offset() should only be called while a record is processed");

	return this.task.record().offset();
	}

	@Override
	public long timestamp() {
	if (task.record() == null)
	throw new IllegalStateException("this should not happen as timestamp() should only be called while a record is processed");

	return task.record().timestamp;
	}

	@Override
	public <K, V> void forward(K key, V value) {
	task.forward(key, value);
	}

	@Override
	public <K, V> void forward(K key, V value, int childIndex) {
	task.forward(key, value, childIndex);
	}

	@Override
	public void commit() {
	task.needCommit();
	}

	@Override
	public void schedule(long interval) {
	task.schedule(interval);
	}
	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamTask.java b/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamTask.java
	index 1de6f9bd..d83d721a 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamTask.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamTask.java
	@@ -1,369 +1,370 @@
	/**
	* 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
	* <p>
	* http://www.apache.org/licenses/LICENSE-2.0
	* <p>
	* 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.kafka.streams.processor.internals;

	import org.apache.kafka.clients.consumer.Consumer;
	import org.apache.kafka.clients.consumer.ConsumerRecord;
	import org.apache.kafka.clients.consumer.OffsetAndMetadata;
	import org.apache.kafka.clients.producer.Producer;
	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.ProcessorContext;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.TimestampExtractor;
	import org.slf4j.Logger;
	import org.slf4j.LoggerFactory;

	import java.io.File;
	import java.io.IOException;
	import java.util.Collection;
	import java.util.HashMap;
	import java.util.List;
	import java.util.Map;
	import java.util.Set;

	/**
	* A StreamTask is associated with a {@link PartitionGroup}, and is assigned to a StreamThread for processing.
	*/
	public class StreamTask implements Punctuator {

	private static final Logger log = LoggerFactory.getLogger(StreamTask.class);

	- private final int id;
	+ private final TaskId id;
	private final int maxBufferedSize;

	private final Consumer consumer;
	private final PartitionGroup partitionGroup;
	private final PartitionGroup.RecordInfo recordInfo = new PartitionGroup.RecordInfo();
	private final PunctuationQueue punctuationQueue;
	private final ProcessorContextImpl processorContext;
	private final ProcessorTopology topology;

	private final Map<TopicPartition, Long> consumedOffsets;
	private final RecordCollector recordCollector;
	private final ProcessorStateManager stateMgr;

	private boolean commitRequested = false;
	private boolean commitOffsetNeeded = false;
	private StampedRecord currRecord = null;
	private ProcessorNode currNode = null;

	private boolean requiresPoll = true;

	/**
	* Create {@link StreamTask} with its assigned partitions
	*
	* @param id the ID of this task
	* @param consumer the instance of {@link Consumer}
	* @param producer the instance of {@link Producer}
	* @param restoreConsumer the instance of {@link Consumer} used when restoring state
	* @param partitions the collection of assigned {@link TopicPartition}
	* @param topology the instance of {@link ProcessorTopology}
	* @param config the {@link StreamingConfig} specified by the user
	* @param metrics the {@link StreamingMetrics} created by the thread
	*/
	- public StreamTask(int id,
	+ public StreamTask(TaskId id,
	Consumer<byte[], byte[]> consumer,
	Producer<byte[], byte[]> producer,
	Consumer<byte[], byte[]> restoreConsumer,
	Collection<TopicPartition> partitions,
	ProcessorTopology topology,
	StreamingConfig config,
	StreamingMetrics metrics) {

	this.id = id;
	this.consumer = consumer;
	this.punctuationQueue = new PunctuationQueue();
	this.maxBufferedSize = config.getInt(StreamingConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG);
	this.topology = topology;

	// create queues for each assigned partition and associate them
	// to corresponding source nodes in the processor topology
	Map<TopicPartition, RecordQueue> partitionQueues = new HashMap<>();

	for (TopicPartition partition : partitions) {
	SourceNode source = topology.source(partition.topic());
	RecordQueue queue = createRecordQueue(partition, source);
	partitionQueues.put(partition, queue);
	}

	TimestampExtractor timestampExtractor = config.getConfiguredInstance(StreamingConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, TimestampExtractor.class);
	this.partitionGroup = new PartitionGroup(partitionQueues, timestampExtractor);

	// initialize the consumed and produced offset cache
	this.consumedOffsets = new HashMap<>();

	// create the record recordCollector that maintains the produced offsets
	this.recordCollector = new RecordCollector(producer);

	log.info("Creating restoration consumer client for stream task #" + id());

	// create the processor state manager
	try {
	- File stateFile = new File(config.getString(StreamingConfig.STATE_DIR_CONFIG), Integer.toString(id));
	- this.stateMgr = new ProcessorStateManager(id, stateFile, restoreConsumer);
	+ File stateFile = new File(config.getString(StreamingConfig.STATE_DIR_CONFIG), id.toString());
	+ this.stateMgr = new ProcessorStateManager(id.partition, stateFile, restoreConsumer);
	} catch (IOException e) {
	throw new KafkaException("Error while creating the state manager", e);
	}

	// initialize the topology with its own context
	this.processorContext = new ProcessorContextImpl(id, this, config, recordCollector, stateMgr, metrics);

	// initialize the task by initializing all its processor nodes in the topology
	for (ProcessorNode node : this.topology.processors()) {
	this.currNode = node;
	try {
	node.init(this.processorContext);
	} finally {
	this.currNode = null;
	}
	}

	this.processorContext.initialized();
	}

	- public int id() {
	+ public TaskId id() {
	return id;
	}

	public Set<TopicPartition> partitions() {
	return this.partitionGroup.partitions();
	}

	/**
	* Adds records to queues
	*
	* @param partition the partition
	* @param records the records
	*/
	@SuppressWarnings("unchecked")
	public void addRecords(TopicPartition partition, Iterable<ConsumerRecord<byte[], byte[]>> records) {
	int queueSize = partitionGroup.addRawRecords(partition, records);

	// if after adding these records, its partition queue's buffered size has been
	// increased beyond the threshold, we can then pause the consumption for this partition
	if (queueSize > this.maxBufferedSize) {
	consumer.pause(partition);
	}
	}

	/**
	* Process one record
	*
	* @return number of records left in the buffer of this task's partition group after the processing is done
	*/
	@SuppressWarnings("unchecked")
	public int process() {
	synchronized (this) {
	// get the next record to process
	StampedRecord record = partitionGroup.nextRecord(recordInfo);

	// if there is no record to process, return immediately
	if (record == null) {
	requiresPoll = true;
	return 0;
	}

	requiresPoll = false;

	try {
	// process the record by passing to the source node of the topology
	this.currRecord = record;
	this.currNode = recordInfo.node();
	TopicPartition partition = recordInfo.partition();

	log.debug("Start processing one record [" + currRecord + "]");

	this.currNode.process(currRecord.key(), currRecord.value());

	log.debug("Completed processing one record [" + currRecord + "]");

	// update the consumed offset map after processing is done
	consumedOffsets.put(partition, currRecord.offset());
	commitOffsetNeeded = true;

	// after processing this record, if its partition queue's buffered size has been
	// decreased to the threshold, we can then resume the consumption on this partition
	if (partitionGroup.numBuffered(partition) == this.maxBufferedSize) {
	consumer.resume(partition);
	requiresPoll = true;
	}

	if (partitionGroup.topQueueSize() <= this.maxBufferedSize) {
	requiresPoll = true;
	}
	} finally {
	this.currRecord = null;
	this.currNode = null;
	}

	return partitionGroup.numBuffered();
	}
	}

	public boolean requiresPoll() {
	return requiresPoll;
	}

	/**
	* Possibly trigger registered punctuation functions if
	* current time has reached the defined stamp
	*
	* @param timestamp
	*/
	public boolean maybePunctuate(long timestamp) {
	return punctuationQueue.mayPunctuate(timestamp, this);
	}

	@Override
	public void punctuate(ProcessorNode node, long timestamp) {
	if (currNode != null)
	throw new IllegalStateException("Current node is not null");

	currNode = node;
	try {
	node.processor().punctuate(timestamp);
	} finally {
	currNode = null;
	}
	}

	public StampedRecord record() {
	return this.currRecord;
	}

	public ProcessorNode node() {
	return this.currNode;
	}

	public ProcessorTopology topology() {
	return this.topology;
	}

	/**
	* Commit the current task state
	*/
	public void commit() {
	// 1) flush local state
	stateMgr.flush();

	// 2) flush produced records in the downstream and change logs of local states
	recordCollector.flush();

	// 3) commit consumed offsets if it is dirty already
	if (commitOffsetNeeded) {
	Map<TopicPartition, OffsetAndMetadata> consumedOffsetsAndMetadata = new HashMap<>(consumedOffsets.size());
	for (Map.Entry<TopicPartition, Long> entry : consumedOffsets.entrySet()) {
	consumedOffsetsAndMetadata.put(entry.getKey(), new OffsetAndMetadata(entry.getValue()));
	}
	consumer.commitSync(consumedOffsetsAndMetadata);
	commitOffsetNeeded = false;
	}

	commitRequested = false;
	}

	/**
	* Whether or not a request has been made to commit the current state
	*/
	public boolean commitNeeded() {
	return this.commitRequested;
	}

	/**
	* Request committing the current task's state
	*/
	public void needCommit() {
	this.commitRequested = true;
	}

	/**
	* Schedules a punctuation for the processor
	*
	* @param interval the interval in milliseconds
	*/
	public void schedule(long interval) {
	if (currNode == null)
	throw new IllegalStateException("Current node is null");

	punctuationQueue.schedule(new PunctuationSchedule(currNode, interval));
	}

	public void close() {
	this.partitionGroup.close();
	this.consumedOffsets.clear();

	// close the processors
	// make sure close() is called for each node even when there is a RuntimeException
	RuntimeException exception = null;
	for (ProcessorNode node : this.topology.processors()) {
	currNode = node;
	try {
	node.close();
	} catch (RuntimeException e) {
	exception = e;
	} finally {
	currNode = null;
	}
	}

	if (exception != null)
	throw exception;

	try {
	stateMgr.close(recordCollector.offsets());
	} catch (IOException e) {
	throw new KafkaException("Error while closing the state manager in processor context", e);
	}
	}

	private RecordQueue createRecordQueue(TopicPartition partition, SourceNode source) {
	return new RecordQueue(partition, source);
	}

	@SuppressWarnings("unchecked")
	public <K, V> void forward(K key, V value) {
	ProcessorNode thisNode = currNode;
	for (ProcessorNode childNode : (List<ProcessorNode<K, V>>) thisNode.children()) {
	currNode = childNode;
	try {
	childNode.process(key, value);
	} finally {
	currNode = thisNode;
	}
	}
	}

	@SuppressWarnings("unchecked")
	public <K, V> void forward(K key, V value, int childIndex) {
	ProcessorNode thisNode = currNode;
	ProcessorNode childNode = (ProcessorNode<K, V>) thisNode.children().get(childIndex);
	currNode = childNode;
	try {
	childNode.process(key, value);
	} finally {
	currNode = thisNode;
	}
	}

	public ProcessorContext context() {
	return processorContext;
	}

	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamThread.java b/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamThread.java
	index e3803a10..abc5c5dd 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamThread.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamThread.java
	@@ -1,576 +1,577 @@
	/**
	* 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
	* <p>
	* http://www.apache.org/licenses/LICENSE-2.0
	* <p>
	* 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.kafka.streams.processor.internals;

	import org.apache.kafka.clients.consumer.Consumer;
	import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
	import org.apache.kafka.clients.consumer.ConsumerRecords;
	import org.apache.kafka.clients.consumer.KafkaConsumer;
	import org.apache.kafka.clients.producer.KafkaProducer;
	import org.apache.kafka.clients.producer.Producer;
	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.MetricName;
	import org.apache.kafka.common.PartitionInfo;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.common.metrics.MeasurableStat;
	import org.apache.kafka.common.metrics.Metrics;
	import org.apache.kafka.common.metrics.Sensor;
	import org.apache.kafka.common.metrics.stats.Avg;
	import org.apache.kafka.common.metrics.stats.Count;
	import org.apache.kafka.common.metrics.stats.Max;
	import org.apache.kafka.common.metrics.stats.Rate;
	import org.apache.kafka.common.serialization.ByteArrayDeserializer;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.utils.Time;
	import org.apache.kafka.common.utils.Utils;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.PartitionGrouper;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.TopologyBuilder;
	import org.slf4j.Logger;
	import org.slf4j.LoggerFactory;

	import java.io.File;
	import java.io.IOException;
	import java.nio.channels.FileLock;
	import java.util.ArrayList;
	import java.util.Arrays;
	import java.util.Collection;
	import java.util.Collections;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.LinkedHashMap;
	import java.util.List;
	import java.util.Map;
	import java.util.Set;
	import java.util.concurrent.atomic.AtomicBoolean;
	import java.util.concurrent.atomic.AtomicInteger;

	public class StreamThread extends Thread {

	private static final Logger log = LoggerFactory.getLogger(StreamThread.class);
	private static final AtomicInteger STREAMING_THREAD_ID_SEQUENCE = new AtomicInteger(1);

	private final AtomicBoolean running;

	protected final StreamingConfig config;
	protected final TopologyBuilder builder;
	protected final PartitionGrouper partitionGrouper;
	protected final Producer<byte[], byte[]> producer;
	protected final Consumer<byte[], byte[]> consumer;
	protected final Consumer<byte[], byte[]> restoreConsumer;

	- private final Map<Integer, StreamTask> tasks;
	+ private final Map<TaskId, StreamTask> tasks;
	private final String clientId;
	private final Time time;
	private final File stateDir;
	private final long pollTimeMs;
	private final long cleanTimeMs;
	private final long commitTimeMs;
	private final long totalRecordsToProcess;
	private final StreamingMetricsImpl sensors;

	private long lastClean;
	private long lastCommit;
	private long recordsProcessed;

	final ConsumerRebalanceListener rebalanceListener = new ConsumerRebalanceListener() {
	@Override
	public void onPartitionsAssigned(Collection<TopicPartition> assignment) {
	addPartitions(assignment);
	lastClean = time.milliseconds(); // start the cleaning cycle
	}

	@Override
	public void onPartitionsRevoked(Collection<TopicPartition> assignment) {
	commitAll();
	removePartitions();
	lastClean = Long.MAX_VALUE; // stop the cleaning cycle until partitions are assigned
	}
	};

	public StreamThread(TopologyBuilder builder,
	StreamingConfig config,
	String clientId,
	Metrics metrics,
	Time time) throws Exception {
	this(builder, config, null , null, null, clientId, metrics, time);
	}

	StreamThread(TopologyBuilder builder,
	StreamingConfig config,
	Producer<byte[], byte[]> producer,
	Consumer<byte[], byte[]> consumer,
	Consumer<byte[], byte[]> restoreConsumer,
	String clientId,
	Metrics metrics,
	Time time) throws Exception {
	super("StreamThread-" + STREAMING_THREAD_ID_SEQUENCE.getAndIncrement());

	this.config = config;
	this.builder = builder;
	this.clientId = clientId;
	this.partitionGrouper = config.getConfiguredInstance(StreamingConfig.PARTITION_GROUPER_CLASS_CONFIG, PartitionGrouper.class);
	this.partitionGrouper.topicGroups(builder.topicGroups());

	// set the producer and consumer clients
	this.producer = (producer != null) ? producer : createProducer();
	this.consumer = (consumer != null) ? consumer : createConsumer();
	this.restoreConsumer = (restoreConsumer != null) ? restoreConsumer : createRestoreConsumer();

	// initialize the task list
	this.tasks = new HashMap<>();

	// read in task specific config values
	this.stateDir = new File(this.config.getString(StreamingConfig.STATE_DIR_CONFIG));
	this.stateDir.mkdir();
	this.pollTimeMs = config.getLong(StreamingConfig.POLL_MS_CONFIG);
	this.commitTimeMs = config.getLong(StreamingConfig.COMMIT_INTERVAL_MS_CONFIG);
	this.cleanTimeMs = config.getLong(StreamingConfig.STATE_CLEANUP_DELAY_MS_CONFIG);
	this.totalRecordsToProcess = config.getLong(StreamingConfig.TOTAL_RECORDS_TO_PROCESS);

	this.lastClean = Long.MAX_VALUE; // the cleaning cycle won't start until partition assignment
	this.lastCommit = time.milliseconds();
	this.recordsProcessed = 0;
	this.time = time;

	this.sensors = new StreamingMetricsImpl(metrics);

	this.running = new AtomicBoolean(true);
	}

	private Producer<byte[], byte[]> createProducer() {
	log.info("Creating producer client for stream thread [" + this.getName() + "]");
	return new KafkaProducer<>(config.getProducerConfigs(),
	new ByteArraySerializer(),
	new ByteArraySerializer());
	}

	private Consumer<byte[], byte[]> createConsumer() {
	log.info("Creating consumer client for stream thread [" + this.getName() + "]");
	return new KafkaConsumer<>(config.getConsumerConfigs(partitionGrouper),
	new ByteArrayDeserializer(),
	new ByteArrayDeserializer());
	}

	private Consumer<byte[], byte[]> createRestoreConsumer() {
	log.info("Creating restore consumer client for stream thread [" + this.getName() + "]");
	return new KafkaConsumer<>(config.getConsumerConfigs(),
	new ByteArrayDeserializer(),
	new ByteArrayDeserializer());
	}

	/**
	* Execute the stream processors
	*/
	@Override
	public void run() {
	log.info("Starting stream thread [" + this.getName() + "]");

	try {
	runLoop();
	} catch (RuntimeException e) {
	log.error("Uncaught error during processing in thread [" + this.getName() + "]: ", e);
	throw e;
	} finally {
	shutdown();
	}
	}

	/**
	* Shutdown this streaming thread.
	*/
	public void close() {
	running.set(false);
	}

	- public Map<Integer, StreamTask> tasks() {
	+ public Map<TaskId, StreamTask> tasks() {
	return Collections.unmodifiableMap(tasks);
	}

	private void shutdown() {
	log.info("Shutting down stream thread [" + this.getName() + "]");

	// Exceptions should not prevent this call from going through all shutdown steps.
	try {
	commitAll();
	} catch (Throwable e) {
	// already logged in commitAll()
	}
	try {
	producer.close();
	} catch (Throwable e) {
	log.error("Failed to close producer in thread [" + this.getName() + "]: ", e);
	}
	try {
	consumer.close();
	} catch (Throwable e) {
	log.error("Failed to close consumer in thread [" + this.getName() + "]: ", e);
	}
	try {
	restoreConsumer.close();
	} catch (Throwable e) {
	log.error("Failed to close restore consumer in thread [" + this.getName() + "]: ", e);
	}
	try {
	removePartitions();
	} catch (Throwable e) {
	// already logged in removePartition()
	}

	log.info("Stream thread shutdown complete [" + this.getName() + "]");
	}

	private void runLoop() {
	try {
	int totalNumBuffered = 0;
	boolean requiresPoll = true;

	ensureCopartitioning(builder.copartitionGroups());

	consumer.subscribe(new ArrayList<>(builder.sourceTopics()), rebalanceListener);

	while (stillRunning()) {
	// try to fetch some records if necessary
	if (requiresPoll) {
	long startPoll = time.milliseconds();

	ConsumerRecords<byte[], byte[]> records = consumer.poll(totalNumBuffered == 0 ? this.pollTimeMs : 0);

	if (!records.isEmpty()) {
	for (StreamTask task : tasks.values()) {
	for (TopicPartition partition : task.partitions()) {
	task.addRecords(partition, records.records(partition));
	}
	}
	}

	long endPoll = time.milliseconds();
	sensors.pollTimeSensor.record(endPoll - startPoll);
	}

	// try to process one record from each task
	totalNumBuffered = 0;
	requiresPoll = false;

	for (StreamTask task : tasks.values()) {
	long startProcess = time.milliseconds();

	totalNumBuffered += task.process();
	requiresPoll = requiresPoll \|\| task.requiresPoll();

	sensors.processTimeSensor.record(time.milliseconds() - startProcess);
	}

	maybePunctuate();
	maybeClean();
	maybeCommit();
	}
	} catch (Exception e) {
	throw new KafkaException(e);
	}
	}

	private boolean stillRunning() {
	if (!running.get()) {
	log.debug("Shutting down at user request.");
	return false;
	}

	if (totalRecordsToProcess >= 0 && recordsProcessed >= totalRecordsToProcess) {
	log.debug("Shutting down as we've reached the user configured limit of {} records to process.", totalRecordsToProcess);
	return false;
	}

	return true;
	}

	private void maybePunctuate() {
	for (StreamTask task : tasks.values()) {
	try {
	long now = time.milliseconds();

	if (task.maybePunctuate(now))
	sensors.punctuateTimeSensor.record(time.milliseconds() - now);

	} catch (Exception e) {
	log.error("Failed to commit task #" + task.id() + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}
	}
	}

	protected void maybeCommit() {
	long now = time.milliseconds();

	if (commitTimeMs >= 0 && lastCommit + commitTimeMs < now) {
	log.trace("Committing processor instances because the commit interval has elapsed.");

	commitAll();
	lastCommit = now;
	} else {
	for (StreamTask task : tasks.values()) {
	try {
	if (task.commitNeeded())
	commitOne(task, time.milliseconds());
	} catch (Exception e) {
	log.error("Failed to commit task #" + task.id() + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}
	}
	}
	}

	/**
	* Commit the states of all its tasks
	*/
	private void commitAll() {
	for (StreamTask task : tasks.values()) {
	try {
	commitOne(task, time.milliseconds());
	} catch (Exception e) {
	log.error("Failed to commit task #" + task.id() + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}
	}
	}

	/**
	* Commit the state of a task
	*/
	private void commitOne(StreamTask task, long now) {
	try {
	task.commit();
	} catch (Exception e) {
	log.error("Failed to commit task #" + task.id() + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}

	sensors.commitTimeSensor.record(time.milliseconds() - now);
	}

	/**
	* Cleanup any states of the tasks that have been removed from this thread
	*/
	protected void maybeClean() {
	long now = time.milliseconds();

	if (now > lastClean + cleanTimeMs) {
	File[] stateDirs = stateDir.listFiles();
	if (stateDirs != null) {
	for (File dir : stateDirs) {
	try {
	- int id = Integer.parseInt(dir.getName());
	+ TaskId id = TaskId.parse(dir.getName());

	// try to acquire the exclusive lock on the state directory
	FileLock directoryLock = null;
	try {
	directoryLock = ProcessorStateManager.lockStateDirectory(dir);
	if (directoryLock != null) {
	log.info("Deleting obsolete state directory {} after delayed {} ms.", dir.getAbsolutePath(), cleanTimeMs);
	Utils.delete(dir);
	}
	} catch (IOException e) {
	log.error("Failed to lock the state directory due to an unexpected exception", e);
	} finally {
	if (directoryLock != null) {
	try {
	directoryLock.release();
	} catch (IOException e) {
	log.error("Failed to release the state directory lock");
	}
	}
	}
	- } catch (NumberFormatException e) {
	+ } catch (TaskId.TaskIdFormatException e) {
	// there may be some unknown files that sits in the same directory,
	// we should ignore these files instead trying to delete them as well
	}
	}
	}

	lastClean = now;
	}
	}

	- protected StreamTask createStreamTask(int id, Collection<TopicPartition> partitionsForTask) {
	+ protected StreamTask createStreamTask(TaskId id, Collection<TopicPartition> partitionsForTask) {
	sensors.taskCreationSensor.record();

	return new StreamTask(id, consumer, producer, restoreConsumer, partitionsForTask, builder.build(), config, sensors);
	}

	private void addPartitions(Collection<TopicPartition> assignment) {

	- HashMap<Integer, Set<TopicPartition>> partitionsForTask = new HashMap<>();
	+ HashMap<TaskId, Set<TopicPartition>> partitionsForTask = new HashMap<>();

	for (TopicPartition partition : assignment) {
	- Set<Integer> taskIds = partitionGrouper.taskIds(partition);
	- for (Integer taskId : taskIds) {
	+ Set<TaskId> taskIds = partitionGrouper.taskIds(partition);
	+ for (TaskId taskId : taskIds) {
	Set<TopicPartition> partitions = partitionsForTask.get(taskId);
	if (partitions == null) {
	partitions = new HashSet<>();
	partitionsForTask.put(taskId, partitions);
	}
	partitions.add(partition);
	}
	}

	// create the tasks
	- for (Integer taskId : partitionsForTask.keySet()) {
	+ for (TaskId taskId : partitionsForTask.keySet()) {
	try {
	tasks.put(taskId, createStreamTask(taskId, partitionsForTask.get(taskId)));
	} catch (Exception e) {
	log.error("Failed to create a task #" + taskId + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}
	}

	lastClean = time.milliseconds();
	}

	private void removePartitions() {

	// TODO: change this clearing tasks behavior
	for (StreamTask task : tasks.values()) {
	log.info("Removing task {}", task.id());
	try {
	task.close();
	} catch (Exception e) {
	log.error("Failed to close a task #" + task.id() + " in thread [" + this.getName() + "]: ", e);
	throw e;
	}
	sensors.taskDestructionSensor.record();
	}
	tasks.clear();
	}

	public PartitionGrouper partitionGrouper() {
	return partitionGrouper;
	}

	private void ensureCopartitioning(Collection<Set<String>> copartitionGroups) {
	for (Set<String> copartitionGroup : copartitionGroups) {
	ensureCopartitioning(copartitionGroup);
	}
	}

	private void ensureCopartitioning(Set<String> copartitionGroup) {
	int numPartitions = -1;

	for (String topic : copartitionGroup) {
	List<PartitionInfo> infos = consumer.partitionsFor(topic);

	if (infos == null)
	throw new KafkaException("topic not found: " + topic);

	if (numPartitions == -1) {
	numPartitions = infos.size();
	} else if (numPartitions != infos.size()) {
	String[] topics = copartitionGroup.toArray(new String[copartitionGroup.size()]);
	Arrays.sort(topics);
	throw new KafkaException("topics not copartitioned: [" + Utils.mkString(Arrays.asList(topics), ",") + "]");
	}
	}
	}

	private class StreamingMetricsImpl implements StreamingMetrics {
	final Metrics metrics;
	final String metricGrpName;
	final Map<String, String> metricTags;

	final Sensor commitTimeSensor;
	final Sensor pollTimeSensor;
	final Sensor processTimeSensor;
	final Sensor punctuateTimeSensor;
	final Sensor taskCreationSensor;
	final Sensor taskDestructionSensor;

	public StreamingMetricsImpl(Metrics metrics) {

	this.metrics = metrics;
	this.metricGrpName = "streaming-metrics";
	this.metricTags = new LinkedHashMap<>();
	this.metricTags.put("client-id", clientId + "-" + getName());

	this.commitTimeSensor = metrics.sensor("commit-time");
	this.commitTimeSensor.add(new MetricName("commit-time-avg", metricGrpName, "The average commit time in ms", metricTags), new Avg());
	this.commitTimeSensor.add(new MetricName("commit-time-max", metricGrpName, "The maximum commit time in ms", metricTags), new Max());
	this.commitTimeSensor.add(new MetricName("commit-calls-rate", metricGrpName, "The average per-second number of commit calls", metricTags), new Rate(new Count()));

	this.pollTimeSensor = metrics.sensor("poll-time");
	this.pollTimeSensor.add(new MetricName("poll-time-avg", metricGrpName, "The average poll time in ms", metricTags), new Avg());
	this.pollTimeSensor.add(new MetricName("poll-time-max", metricGrpName, "The maximum poll time in ms", metricTags), new Max());
	this.pollTimeSensor.add(new MetricName("poll-calls-rate", metricGrpName, "The average per-second number of record-poll calls", metricTags), new Rate(new Count()));

	this.processTimeSensor = metrics.sensor("process-time");
	this.processTimeSensor.add(new MetricName("process-time-avg-ms", metricGrpName, "The average process time in ms", metricTags), new Avg());
	this.processTimeSensor.add(new MetricName("process-time-max-ms", metricGrpName, "The maximum process time in ms", metricTags), new Max());
	this.processTimeSensor.add(new MetricName("process-calls-rate", metricGrpName, "The average per-second number of process calls", metricTags), new Rate(new Count()));

	this.punctuateTimeSensor = metrics.sensor("punctuate-time");
	this.punctuateTimeSensor.add(new MetricName("punctuate-time-avg", metricGrpName, "The average punctuate time in ms", metricTags), new Avg());
	this.punctuateTimeSensor.add(new MetricName("punctuate-time-max", metricGrpName, "The maximum punctuate time in ms", metricTags), new Max());
	this.punctuateTimeSensor.add(new MetricName("punctuate-calls-rate", metricGrpName, "The average per-second number of punctuate calls", metricTags), new Rate(new Count()));

	this.taskCreationSensor = metrics.sensor("task-creation");
	this.taskCreationSensor.add(new MetricName("task-creation-rate", metricGrpName, "The average per-second number of newly created tasks", metricTags), new Rate(new Count()));

	this.taskDestructionSensor = metrics.sensor("task-destruction");
	this.taskDestructionSensor.add(new MetricName("task-destruction-rate", metricGrpName, "The average per-second number of destructed tasks", metricTags), new Rate(new Count()));
	}

	@Override
	public void recordLatency(Sensor sensor, long startNs, long endNs) {
	sensor.record((endNs - startNs) / 1000000, endNs);
	}

	@Override
	public Sensor addLatencySensor(String scopeName, String entityName, String operationName, String... tags) {
	// extract the additional tags if there are any
	Map<String, String> tagMap = new HashMap<>(this.metricTags);
	if ((tags.length % 2) != 0)
	throw new IllegalArgumentException("Tags needs to be specified in key-value pairs");

	for (int i = 0; i < tags.length; i += 2)
	tagMap.put(tags[i], tags[i + 1]);

	// first add the global operation metrics if not yet, with the global tags only
	Sensor parent = metrics.sensor(operationName);
	addLatencyMetrics(this.metricGrpName, parent, "all", operationName, this.metricTags);

	// add the store operation metrics with additional tags
	Sensor sensor = metrics.sensor(entityName + "-" + operationName, parent);
	addLatencyMetrics("streaming-" + scopeName + "-metrics", sensor, entityName, operationName, tagMap);

	return sensor;
	}

	private void addLatencyMetrics(String metricGrpName, Sensor sensor, String entityName, String opName, Map<String, String> tags) {
	maybeAddMetric(sensor, new MetricName(opName + "-avg-latency-ms", metricGrpName,
	"The average latency in milliseconds of " + entityName + " " + opName + " operation.", tags), new Avg());
	maybeAddMetric(sensor, new MetricName(opName + "-max-latency-ms", metricGrpName,
	"The max latency in milliseconds of " + entityName + " " + opName + " operation.", tags), new Max());
	maybeAddMetric(sensor, new MetricName(opName + "-qps", metricGrpName,
	"The average number of occurrence of " + entityName + " " + opName + " operation per second.", tags), new Rate(new Count()));
	}

	private void maybeAddMetric(Sensor sensor, MetricName name, MeasurableStat stat) {
	if (!metrics.metrics().containsKey(name))
	sensor.add(name, stat);
	}
	}
	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/state/MeteredKeyValueStore.java b/streams/src/main/java/org/apache/kafka/streams/state/MeteredKeyValueStore.java
	index 779bc75d..a7f4c12e 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/state/MeteredKeyValueStore.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/state/MeteredKeyValueStore.java
	@@ -1,270 +1,270 @@
	/**
	* 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.kafka.streams.state;

	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.apache.kafka.streams.processor.StateRestoreCallback;
	import org.apache.kafka.clients.producer.ProducerRecord;
	import org.apache.kafka.common.metrics.Sensor;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.common.utils.Time;
	import org.apache.kafka.streams.processor.internals.RecordCollector;

	import java.util.HashSet;
	import java.util.List;
	import java.util.Set;

	public class MeteredKeyValueStore<K, V> implements KeyValueStore<K, V> {

	protected final KeyValueStore<K, V> inner;
	protected final Serdes<K, V> serialization;

	private final Time time;
	private final Sensor putTime;
	private final Sensor getTime;
	private final Sensor deleteTime;
	private final Sensor putAllTime;
	private final Sensor allTime;
	private final Sensor rangeTime;
	private final Sensor flushTime;
	private final Sensor restoreTime;
	private final StreamingMetrics metrics;

	private final String topic;
	private final int partition;
	private final Set<K> dirty;
	private final Set<K> removed;
	private final int maxDirty;
	private final int maxRemoved;
	private final ProcessorContext context;

	// always wrap the logged store with the metered store
	public MeteredKeyValueStore(final String name, final KeyValueStore<K, V> inner, ProcessorContext context,
	Serdes<K, V> serialization, String metricGrp, Time time) {
	this.inner = inner;
	this.serialization = serialization;

	this.time = time;
	this.metrics = context.metrics();
	this.putTime = this.metrics.addLatencySensor(metricGrp, name, "put", "store-name", name);
	this.getTime = this.metrics.addLatencySensor(metricGrp, name, "get", "store-name", name);
	this.deleteTime = this.metrics.addLatencySensor(metricGrp, name, "delete", "store-name", name);
	this.putAllTime = this.metrics.addLatencySensor(metricGrp, name, "put-all", "store-name", name);
	this.allTime = this.metrics.addLatencySensor(metricGrp, name, "all", "store-name", name);
	this.rangeTime = this.metrics.addLatencySensor(metricGrp, name, "range", "store-name", name);
	this.flushTime = this.metrics.addLatencySensor(metricGrp, name, "flush", "store-name", name);
	this.restoreTime = this.metrics.addLatencySensor(metricGrp, name, "restore", "store-name", name);

	this.topic = name;
	- this.partition = context.id();
	+ this.partition = context.id().partition;

	this.context = context;

	this.dirty = new HashSet<K>();
	this.removed = new HashSet<K>();
	this.maxDirty = 100; // TODO: this needs to be configurable
	this.maxRemoved = 100; // TODO: this needs to be configurable

	// register and possibly restore the state from the logs
	long startNs = time.nanoseconds();
	try {
	final Deserializer<K> keyDeserializer = serialization.keyDeserializer();
	final Deserializer<V> valDeserializer = serialization.valueDeserializer();

	context.register(this, new StateRestoreCallback() {
	@Override
	public void restore(byte[] key, byte[] value) {
	inner.put(keyDeserializer.deserialize(topic, key),
	valDeserializer.deserialize(topic, value));
	}
	});
	} finally {
	this.metrics.recordLatency(this.restoreTime, startNs, time.nanoseconds());
	}
	}

	@Override
	public String name() {
	return inner.name();
	}

	@Override
	public boolean persistent() {
	return inner.persistent();
	}

	@Override
	public V get(K key) {
	long startNs = time.nanoseconds();
	try {
	return this.inner.get(key);
	} finally {
	this.metrics.recordLatency(this.getTime, startNs, time.nanoseconds());
	}
	}

	@Override
	public void put(K key, V value) {
	long startNs = time.nanoseconds();
	try {
	this.inner.put(key, value);

	this.dirty.add(key);
	this.removed.remove(key);
	maybeLogChange();
	} finally {
	this.metrics.recordLatency(this.putTime, startNs, time.nanoseconds());
	}
	}

	@Override
	public void putAll(List<Entry<K, V>> entries) {
	long startNs = time.nanoseconds();
	try {
	this.inner.putAll(entries);

	for (Entry<K, V> entry : entries) {
	K key = entry.key();
	this.dirty.add(key);
	this.removed.remove(key);
	}

	maybeLogChange();
	} finally {
	this.metrics.recordLatency(this.putAllTime, startNs, time.nanoseconds());
	}
	}

	@Override
	public V delete(K key) {
	long startNs = time.nanoseconds();
	try {
	V value = this.inner.delete(key);

	this.dirty.remove(key);
	this.removed.add(key);
	maybeLogChange();

	return value;
	} finally {
	this.metrics.recordLatency(this.deleteTime, startNs, time.nanoseconds());
	}
	}

	/**
	* Called when the underlying {@link #inner} {@link KeyValueStore} removes an entry in response to a call from this
	* store other than {@link #delete(Object)}.
	*
	* @param key the key for the entry that the inner store removed
	*/
	protected void removed(K key) {
	this.dirty.remove(key);
	this.removed.add(key);
	maybeLogChange();
	}

	@Override
	public KeyValueIterator<K, V> range(K from, K to) {
	return new MeteredKeyValueIterator<K, V>(this.inner.range(from, to), this.rangeTime);
	}

	@Override
	public KeyValueIterator<K, V> all() {
	return new MeteredKeyValueIterator<K, V>(this.inner.all(), this.allTime);
	}

	@Override
	public void close() {
	inner.close();
	}

	@Override
	public void flush() {
	long startNs = time.nanoseconds();
	try {
	this.inner.flush();
	logChange();
	} finally {
	this.metrics.recordLatency(this.flushTime, startNs, time.nanoseconds());
	}
	}

	private void maybeLogChange() {
	if (this.dirty.size() > this.maxDirty \|\| this.removed.size() > this.maxRemoved)
	logChange();
	}

	private void logChange() {
	RecordCollector collector = ((RecordCollector.Supplier) context).recordCollector();
	if (collector != null) {
	Serializer<K> keySerializer = serialization.keySerializer();
	Serializer<V> valueSerializer = serialization.valueSerializer();

	for (K k : this.removed) {
	collector.send(new ProducerRecord<>(this.topic, this.partition, k, (V) null), keySerializer, valueSerializer);
	}
	for (K k : this.dirty) {
	V v = this.inner.get(k);
	collector.send(new ProducerRecord<>(this.topic, this.partition, k, v), keySerializer, valueSerializer);
	}
	this.removed.clear();
	this.dirty.clear();
	}
	}

	private class MeteredKeyValueIterator<K1, V1> implements KeyValueIterator<K1, V1> {

	private final KeyValueIterator<K1, V1> iter;
	private final Sensor sensor;
	private final long startNs;

	public MeteredKeyValueIterator(KeyValueIterator<K1, V1> iter, Sensor sensor) {
	this.iter = iter;
	this.sensor = sensor;
	this.startNs = time.nanoseconds();
	}

	@Override
	public boolean hasNext() {
	return iter.hasNext();
	}

	@Override
	public Entry<K1, V1> next() {
	return iter.next();
	}

	@Override
	public void remove() {
	iter.remove();
	}

	@Override
	public void close() {
	try {
	iter.close();
	} finally {
	metrics.recordLatency(this.sensor, this.startNs, time.nanoseconds());
	}
	}

	}

	}
	diff --git a/streams/src/main/java/org/apache/kafka/streams/state/RocksDBKeyValueStore.java b/streams/src/main/java/org/apache/kafka/streams/state/RocksDBKeyValueStore.java
	index 7393bb10..1de345e4 100644
	--- a/streams/src/main/java/org/apache/kafka/streams/state/RocksDBKeyValueStore.java
	+++ b/streams/src/main/java/org/apache/kafka/streams/state/RocksDBKeyValueStore.java
	@@ -1,284 +1,284 @@
	/**
	* 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.kafka.streams.state;

	import org.apache.kafka.common.KafkaException;
	import org.apache.kafka.common.utils.SystemTime;
	import org.apache.kafka.common.utils.Time;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.rocksdb.BlockBasedTableConfig;
	import org.rocksdb.CompactionStyle;
	import org.rocksdb.CompressionType;
	import org.rocksdb.FlushOptions;
	import org.rocksdb.Options;
	import org.rocksdb.RocksDB;
	import org.rocksdb.RocksDBException;
	import org.rocksdb.RocksIterator;
	import org.rocksdb.WriteOptions;

	import java.io.File;
	import java.util.Comparator;
	import java.util.List;
	import java.util.NoSuchElementException;

	/**
	* A {@link KeyValueStore} that stores all entries in a local RocksDB database.
	*
	* @param <K> the type of keys
	* @param <V> the type of values
	*
	* @see Stores#create(String, ProcessorContext)
	*/
	public class RocksDBKeyValueStore<K, V> extends MeteredKeyValueStore<K, V> {

	protected RocksDBKeyValueStore(String name, ProcessorContext context, Serdes<K, V> serdes, Time time) {
	super(name, new RocksDBStore<K, V>(name, context, serdes), context, serdes, "rocksdb-state", time != null ? time : new SystemTime());
	}

	private static class RocksDBStore<K, V> implements KeyValueStore<K, V> {

	private static final int TTL_NOT_USED = -1;

	// TODO: these values should be configurable
	private static final CompressionType COMPRESSION_TYPE = CompressionType.NO_COMPRESSION;
	private static final CompactionStyle COMPACTION_STYLE = CompactionStyle.UNIVERSAL;
	private static final long WRITE_BUFFER_SIZE = 32 * 1024 * 1024L;
	private static final long BLOCK_CACHE_SIZE = 100 * 1024 * 1024L;
	private static final long BLOCK_SIZE = 4096L;
	private static final int TTL_SECONDS = TTL_NOT_USED;
	private static final int MAX_WRITE_BUFFERS = 3;
	private static final String DB_FILE_DIR = "rocksdb";

	private final Serdes<K, V> serdes;

	private final String topic;
	private final int partition;
	private final ProcessorContext context;

	private final Options options;
	private final WriteOptions wOptions;
	private final FlushOptions fOptions;

	private final String dbName;
	private final String dirName;

	private RocksDB db;

	public RocksDBStore(String name, ProcessorContext context, Serdes<K, V> serdes) {
	this.topic = name;
	- this.partition = context.id();
	+ this.partition = context.id().partition;
	this.context = context;
	this.serdes = serdes;

	// initialize the rocksdb options
	BlockBasedTableConfig tableConfig = new BlockBasedTableConfig();
	tableConfig.setBlockCacheSize(BLOCK_CACHE_SIZE);
	tableConfig.setBlockSize(BLOCK_SIZE);

	options = new Options();
	options.setTableFormatConfig(tableConfig);
	options.setWriteBufferSize(WRITE_BUFFER_SIZE);
	options.setCompressionType(COMPRESSION_TYPE);
	options.setCompactionStyle(COMPACTION_STYLE);
	options.setMaxWriteBufferNumber(MAX_WRITE_BUFFERS);
	options.setCreateIfMissing(true);
	options.setErrorIfExists(false);

	wOptions = new WriteOptions();
	wOptions.setDisableWAL(true);

	fOptions = new FlushOptions();
	fOptions.setWaitForFlush(true);

	dbName = this.topic + "." + this.partition;
	dirName = this.context.stateDir() + File.separator + DB_FILE_DIR;

	db = openDB(new File(dirName, dbName), this.options, TTL_SECONDS);
	}

	private RocksDB openDB(File dir, Options options, int ttl) {
	try {
	if (ttl == TTL_NOT_USED) {
	dir.getParentFile().mkdirs();
	return RocksDB.open(options, dir.toString());
	} else {
	throw new KafkaException("Change log is not supported for store " + this.topic + " since it is TTL based.");
	// TODO: support TTL with change log?
	// return TtlDB.open(options, dir.toString(), ttl, false);
	}
	} catch (RocksDBException e) {
	// TODO: this needs to be handled more accurately
	throw new KafkaException("Error opening store " + this.topic + " at location " + dir.toString(), e);
	}
	}

	@Override
	public String name() {
	return this.topic;
	}

	@Override
	public boolean persistent() {
	return false;
	}

	@Override
	public V get(K key) {
	try {
	return serdes.valueFrom(this.db.get(serdes.rawKey(key)));
	} catch (RocksDBException e) {
	// TODO: this needs to be handled more accurately
	throw new KafkaException("Error while executing get " + key.toString() + " from store " + this.topic, e);
	}
	}

	@Override
	public void put(K key, V value) {
	try {
	if (value == null) {
	db.remove(wOptions, serdes.rawKey(key));
	} else {
	db.put(wOptions, serdes.rawKey(key), serdes.rawValue(value));
	}
	} catch (RocksDBException e) {
	// TODO: this needs to be handled more accurately
	throw new KafkaException("Error while executing put " + key.toString() + " from store " + this.topic, e);
	}
	}

	@Override
	public void putAll(List<Entry<K, V>> entries) {
	for (Entry<K, V> entry : entries)
	put(entry.key(), entry.value());
	}

	@Override
	public V delete(K key) {
	V value = get(key);
	put(key, null);
	return value;
	}

	@Override
	public KeyValueIterator<K, V> range(K from, K to) {
	return new RocksDBRangeIterator<K, V>(db.newIterator(), serdes, from, to);
	}

	@Override
	public KeyValueIterator<K, V> all() {
	RocksIterator innerIter = db.newIterator();
	innerIter.seekToFirst();
	return new RocksDbIterator<K, V>(innerIter, serdes);
	}

	@Override
	public void flush() {
	try {
	db.flush(fOptions);
	} catch (RocksDBException e) {
	// TODO: this needs to be handled more accurately
	throw new KafkaException("Error while executing flush from store " + this.topic, e);
	}
	}

	@Override
	public void close() {
	flush();
	db.close();
	}

	private static class RocksDbIterator<K, V> implements KeyValueIterator<K, V> {
	private final RocksIterator iter;
	private final Serdes<K, V> serdes;

	public RocksDbIterator(RocksIterator iter, Serdes<K, V> serdes) {
	this.iter = iter;
	this.serdes = serdes;
	}

	protected byte[] peekRawKey() {
	return iter.key();
	}

	protected Entry<K, V> getEntry() {
	return new Entry<>(serdes.keyFrom(iter.key()), serdes.valueFrom(iter.value()));
	}

	@Override
	public boolean hasNext() {
	return iter.isValid();
	}

	@Override
	public Entry<K, V> next() {
	if (!hasNext())
	throw new NoSuchElementException();

	Entry<K, V> entry = this.getEntry();
	iter.next();
	return entry;
	}

	@Override
	public void remove() {
	throw new UnsupportedOperationException("RocksDB iterator does not support remove");
	}

	@Override
	public void close() {
	}

	}

	private static class LexicographicComparator implements Comparator<byte[]> {

	@Override
	public int compare(byte[] left, byte[] right) {
	for (int i = 0, j = 0; i < left.length && j < right.length; i++, j++) {
	int leftByte = left[i] & 0xff;
	int rightByte = right[j] & 0xff;
	if (leftByte != rightByte) {
	return leftByte - rightByte;
	}
	}
	return left.length - right.length;
	}
	}

	private static class RocksDBRangeIterator<K, V> extends RocksDbIterator<K, V> {
	// RocksDB's JNI interface does not expose getters/setters that allow the
	// comparator to be pluggable, and the default is lexicographic, so it's
	// safe to just force lexicographic comparator here for now.
	private final Comparator<byte[]> comparator = new LexicographicComparator();
	byte[] rawToKey;

	public RocksDBRangeIterator(RocksIterator iter, Serdes<K, V> serdes,
	K from, K to) {
	super(iter, serdes);
	iter.seek(serdes.rawKey(from));
	this.rawToKey = serdes.rawKey(to);
	}

	@Override
	public boolean hasNext() {
	return super.hasNext() && comparator.compare(super.peekRawKey(), this.rawToKey) < 0;
	}
	}

	}
	}
	diff --git a/streams/src/test/java/org/apache/kafka/streams/processor/DefaultPartitionGrouperTest.java b/streams/src/test/java/org/apache/kafka/streams/processor/DefaultPartitionGrouperTest.java
	index 388955e4..d43fc531 100644
	--- a/streams/src/test/java/org/apache/kafka/streams/processor/DefaultPartitionGrouperTest.java
	+++ b/streams/src/test/java/org/apache/kafka/streams/processor/DefaultPartitionGrouperTest.java
	@@ -1,76 +1,83 @@
	/**
	* 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.kafka.streams.processor;

	import org.apache.kafka.common.Cluster;
	import org.apache.kafka.common.Node;
	import org.apache.kafka.common.PartitionInfo;
	import org.apache.kafka.common.TopicPartition;
	-import static org.apache.kafka.common.utils.Utils.mkList;
	import static org.apache.kafka.common.utils.Utils.mkSet;
	import org.junit.Test;

	import java.util.Arrays;
	import java.util.HashMap;
	import java.util.List;
	import java.util.Map;
	+import java.util.Set;

	import static org.junit.Assert.assertEquals;

	public class DefaultPartitionGrouperTest {

	private List<PartitionInfo> infos = Arrays.asList(
	new PartitionInfo("topic1", 0, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic1", 1, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic1", 2, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic2", 0, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic2", 1, Node.noNode(), new Node[0], new Node[0])
	);

	private Cluster metadata = new Cluster(Arrays.asList(Node.noNode()), infos);

	@Test
	public void testGrouping() {
	PartitionGrouper grouper = new DefaultPartitionGrouper();
	- int taskId;
	- Map<Integer, List<TopicPartition>> expected;
	+ int topicGroupId;
	+ Map<TaskId, Set<TopicPartition>> expected;
	+ Map<Integer, Set<String>> topicGroups;

	- grouper.topicGroups(mkList(mkSet("topic1"), mkSet("topic2")));
	+ topicGroups = new HashMap<>();
	+ topicGroups.put(0, mkSet("topic1"));
	+ topicGroups.put(1, mkSet("topic2"));
	+ grouper.topicGroups(topicGroups);

	expected = new HashMap<>();
	- taskId = 0;
	- expected.put(taskId++, mkList(new TopicPartition("topic1", 0)));
	- expected.put(taskId++, mkList(new TopicPartition("topic1", 1)));
	- expected.put(taskId++, mkList(new TopicPartition("topic1", 2)));
	- expected.put(taskId++, mkList(new TopicPartition("topic2", 0)));
	- expected.put(taskId, mkList(new TopicPartition("topic2", 1)));
	+ topicGroupId = 0;
	+ expected.put(new TaskId(topicGroupId, 0), mkSet(new TopicPartition("topic1", 0)));
	+ expected.put(new TaskId(topicGroupId, 1), mkSet(new TopicPartition("topic1", 1)));
	+ expected.put(new TaskId(topicGroupId, 2), mkSet(new TopicPartition("topic1", 2)));
	+ topicGroupId++;
	+ expected.put(new TaskId(topicGroupId, 0), mkSet(new TopicPartition("topic2", 0)));
	+ expected.put(new TaskId(topicGroupId, 1), mkSet(new TopicPartition("topic2", 1)));

	assertEquals(expected, grouper.partitionGroups(metadata));

	- grouper.topicGroups(mkList(mkSet("topic1", "topic2")));
	+ topicGroups = new HashMap<>();
	+ topicGroups.put(0, mkSet("topic1", "topic2"));
	+ grouper.topicGroups(topicGroups);

	expected = new HashMap<>();
	- taskId = 0;
	- expected.put(taskId++, mkList(new TopicPartition("topic1", 0), new TopicPartition("topic2", 0)));
	- expected.put(taskId++, mkList(new TopicPartition("topic1", 1), new TopicPartition("topic2", 1)));
	- expected.put(taskId, mkList(new TopicPartition("topic1", 2)));
	+ topicGroupId = 0;
	+ expected.put(new TaskId(topicGroupId, 0), mkSet(new TopicPartition("topic1", 0), new TopicPartition("topic2", 0)));
	+ expected.put(new TaskId(topicGroupId, 1), mkSet(new TopicPartition("topic1", 1), new TopicPartition("topic2", 1)));
	+ expected.put(new TaskId(topicGroupId, 2), mkSet(new TopicPartition("topic1", 2)));

	assertEquals(expected, grouper.partitionGroups(metadata));
	}

	}
	diff --git a/streams/src/test/java/org/apache/kafka/streams/processor/TopologyBuilderTest.java b/streams/src/test/java/org/apache/kafka/streams/processor/TopologyBuilderTest.java
	index 05d24d39..b77c253a 100644
	--- a/streams/src/test/java/org/apache/kafka/streams/processor/TopologyBuilderTest.java
	+++ b/streams/src/test/java/org/apache/kafka/streams/processor/TopologyBuilderTest.java
	@@ -1,138 +1,153 @@
	/**
	* 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.kafka.streams.processor;

	import static org.junit.Assert.assertEquals;

	import static org.apache.kafka.common.utils.Utils.mkSet;
	import org.apache.kafka.test.MockProcessorSupplier;
	import org.junit.Test;

	import java.util.Arrays;
	import java.util.Collection;
	+import java.util.HashMap;
	import java.util.HashSet;
	import java.util.List;
	+import java.util.Map;
	import java.util.Set;

	public class TopologyBuilderTest {

	@Test(expected = TopologyException.class)
	public void testAddSourceWithSameName() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source", "topic-1");
	builder.addSource("source", "topic-2");
	}

	@Test(expected = TopologyException.class)
	public void testAddSourceWithSameTopic() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source", "topic-1");
	builder.addSource("source-2", "topic-1");
	}

	@Test(expected = TopologyException.class)
	public void testAddProcessorWithSameName() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source", "topic-1");
	builder.addProcessor("processor", new MockProcessorSupplier(), "source");
	builder.addProcessor("processor", new MockProcessorSupplier(), "source");
	}

	@Test(expected = TopologyException.class)
	public void testAddProcessorWithWrongParent() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addProcessor("processor", new MockProcessorSupplier(), "source");
	}

	@Test(expected = TopologyException.class)
	public void testAddProcessorWithSelfParent() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addProcessor("processor", new MockProcessorSupplier(), "processor");
	}

	@Test(expected = TopologyException.class)
	public void testAddSinkWithSameName() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source", "topic-1");
	builder.addSink("sink", "topic-2", "source");
	builder.addSink("sink", "topic-3", "source");
	}

	@Test(expected = TopologyException.class)
	public void testAddSinkWithWrongParent() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSink("sink", "topic-2", "source");
	}

	@Test(expected = TopologyException.class)
	public void testAddSinkWithSelfParent() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSink("sink", "topic-2", "sink");
	}

	@Test
	public void testSourceTopics() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source-1", "topic-1");
	builder.addSource("source-2", "topic-2");
	builder.addSource("source-3", "topic-3");

	assertEquals(3, builder.sourceTopics().size());
	}

	@Test
	public void testTopicGroups() {
	final TopologyBuilder builder = new TopologyBuilder();

	builder.addSource("source-1", "topic-1", "topic-1x");
	builder.addSource("source-2", "topic-2");
	builder.addSource("source-3", "topic-3");
	builder.addSource("source-4", "topic-4");
	builder.addSource("source-5", "topic-5");

	builder.addProcessor("processor-1", new MockProcessorSupplier(), "source-1");

	builder.addProcessor("processor-2", new MockProcessorSupplier(), "source-2", "processor-1");
	builder.copartitionSources(list("source-1", "source-2"));

	builder.addProcessor("processor-3", new MockProcessorSupplier(), "source-3", "source-4");

	- Collection<Set<String>> topicGroups = builder.topicGroups();
	+ Map<Integer, Set<String>> topicGroups = builder.topicGroups();
	+
	+ Map<Integer, Set<String>> expectedTopicGroups = new HashMap<>();
	+ expectedTopicGroups.put(0, set("topic-1", "topic-1x", "topic-2"));
	+ expectedTopicGroups.put(1, set("topic-3", "topic-4"));
	+ expectedTopicGroups.put(2, set("topic-5"));

	assertEquals(3, topicGroups.size());
	- assertEquals(mkSet(mkSet("topic-1", "topic-1x", "topic-2"), mkSet("topic-3", "topic-4"), mkSet("topic-5")), new HashSet<>(topicGroups));
	+ assertEquals(expectedTopicGroups, topicGroups);

	Collection<Set<String>> copartitionGroups = builder.copartitionGroups();

	assertEquals(mkSet(mkSet("topic-1", "topic-1x", "topic-2")), new HashSet<>(copartitionGroups));
	}

	+ private <T> Set<T> set(T... items) {
	+ Set<T> set = new HashSet<>();
	+ for (T item : items) {
	+ set.add(item);
	+ }
	+ return set;
	+ }
	+
	private <T> List<T> list(T... elems) {
	return Arrays.asList(elems);
	}

	}
	diff --git a/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamTaskTest.java b/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamTaskTest.java
	index 92b86846..0b828f71 100644
	--- a/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamTaskTest.java
	+++ b/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamTaskTest.java
	@@ -1,206 +1,207 @@
	/**
	* 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.kafka.streams.processor.internals;

	import org.apache.kafka.clients.consumer.ConsumerRecord;
	import org.apache.kafka.clients.consumer.MockConsumer;
	import org.apache.kafka.clients.consumer.OffsetResetStrategy;
	import org.apache.kafka.clients.producer.MockProducer;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.IntegerDeserializer;
	import org.apache.kafka.common.serialization.IntegerSerializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.common.utils.Utils;
	import org.apache.kafka.streams.StreamingConfig;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.test.MockSourceNode;
	import org.junit.Test;
	import org.junit.Before;

	import java.io.File;
	import java.nio.file.Files;
	import java.util.Arrays;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.Properties;

	import static org.junit.Assert.assertEquals;
	import static org.junit.Assert.assertTrue;

	public class StreamTaskTest {

	private final Serializer<Integer> intSerializer = new IntegerSerializer();
	private final Deserializer<Integer> intDeserializer = new IntegerDeserializer();
	private final Serializer<byte[]> bytesSerializer = new ByteArraySerializer();

	private final TopicPartition partition1 = new TopicPartition("topic1", 1);
	private final TopicPartition partition2 = new TopicPartition("topic2", 1);
	private final HashSet<TopicPartition> partitions = new HashSet<>(Arrays.asList(partition1, partition2));

	private final MockSourceNode source1 = new MockSourceNode<>(intDeserializer, intDeserializer);
	private final MockSourceNode source2 = new MockSourceNode<>(intDeserializer, intDeserializer);
	private final ProcessorTopology topology = new ProcessorTopology(
	Arrays.asList((ProcessorNode) source1, (ProcessorNode) source2),
	new HashMap<String, SourceNode>() {
	{
	put("topic1", source1);
	put("topic2", source2);
	}
	});

	private StreamingConfig createConfig(final File baseDir) throws Exception {
	return new StreamingConfig(new Properties() {
	{
	setProperty(StreamingConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
	setProperty(StreamingConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
	setProperty(StreamingConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
	setProperty(StreamingConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
	setProperty(StreamingConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, "org.apache.kafka.test.MockTimestampExtractor");
	setProperty(StreamingConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:2171");
	setProperty(StreamingConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, "3");
	setProperty(StreamingConfig.STATE_DIR_CONFIG, baseDir.getCanonicalPath());
	}
	});
	}

	private final MockConsumer<byte[], byte[]> consumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	private final MockProducer<byte[], byte[]> producer = new MockProducer<>(false, bytesSerializer, bytesSerializer);
	private final MockConsumer<byte[], byte[]> restoreStateConsumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);

	private final byte[] recordValue = intSerializer.serialize(null, 10);
	private final byte[] recordKey = intSerializer.serialize(null, 1);


	@Before
	public void setup() {
	consumer.assign(Arrays.asList(partition1, partition2));
	}

	@SuppressWarnings("unchecked")
	@Test
	public void testProcessOrder() throws Exception {
	File baseDir = Files.createTempDirectory("test").toFile();
	try {
	StreamingConfig config = createConfig(baseDir);
	- StreamTask task = new StreamTask(0, consumer, producer, restoreStateConsumer, partitions, topology, config, null);
	+ StreamTask task = new StreamTask(new TaskId(0, 0), consumer, producer, restoreStateConsumer, partitions, topology, config, null);

	task.addRecords(partition1, records(
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 10, recordKey, recordValue),
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 20, recordKey, recordValue),
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 30, recordKey, recordValue)
	));

	task.addRecords(partition2, records(
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 25, recordKey, recordValue),
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 35, recordKey, recordValue),
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 45, recordKey, recordValue)
	));

	assertEquals(task.process(), 5);
	assertEquals(source1.numReceived, 1);
	assertEquals(source2.numReceived, 0);

	assertEquals(task.process(), 4);
	assertEquals(source1.numReceived, 1);
	assertEquals(source2.numReceived, 1);

	assertEquals(task.process(), 3);
	assertEquals(source1.numReceived, 2);
	assertEquals(source2.numReceived, 1);

	assertEquals(task.process(), 2);
	assertEquals(source1.numReceived, 3);
	assertEquals(source2.numReceived, 1);

	assertEquals(task.process(), 1);
	assertEquals(source1.numReceived, 3);
	assertEquals(source2.numReceived, 2);

	assertEquals(task.process(), 0);
	assertEquals(source1.numReceived, 3);
	assertEquals(source2.numReceived, 3);

	task.close();

	} finally {
	Utils.delete(baseDir);
	}
	}

	@SuppressWarnings("unchecked")
	@Test
	public void testPauseResume() throws Exception {
	File baseDir = Files.createTempDirectory("test").toFile();
	try {
	StreamingConfig config = createConfig(baseDir);
	- StreamTask task = new StreamTask(1, consumer, producer, restoreStateConsumer, partitions, topology, config, null);
	+ StreamTask task = new StreamTask(new TaskId(1, 1), consumer, producer, restoreStateConsumer, partitions, topology, config, null);

	task.addRecords(partition1, records(
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 10, recordKey, recordValue),
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 20, recordKey, recordValue)
	));

	task.addRecords(partition2, records(
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 35, recordKey, recordValue),
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 45, recordKey, recordValue),
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 55, recordKey, recordValue),
	new ConsumerRecord<>(partition2.topic(), partition2.partition(), 65, recordKey, recordValue)
	));

	assertEquals(task.process(), 5);
	assertEquals(source1.numReceived, 1);
	assertEquals(source2.numReceived, 0);

	assertEquals(consumer.paused().size(), 1);
	assertTrue(consumer.paused().contains(partition2));

	task.addRecords(partition1, records(
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 30, recordKey, recordValue),
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 40, recordKey, recordValue),
	new ConsumerRecord<>(partition1.topic(), partition1.partition(), 50, recordKey, recordValue)
	));

	assertEquals(consumer.paused().size(), 2);
	assertTrue(consumer.paused().contains(partition1));
	assertTrue(consumer.paused().contains(partition2));

	assertEquals(task.process(), 7);
	assertEquals(source1.numReceived, 1);
	assertEquals(source2.numReceived, 1);

	assertEquals(consumer.paused().size(), 1);
	assertTrue(consumer.paused().contains(partition1));

	assertEquals(task.process(), 6);
	assertEquals(source1.numReceived, 2);
	assertEquals(source2.numReceived, 1);

	assertEquals(consumer.paused().size(), 0);

	task.close();

	} finally {
	Utils.delete(baseDir);
	}
	}

	private Iterable<ConsumerRecord<byte[], byte[]>> records(ConsumerRecord<byte[], byte[]>... recs) {
	return Arrays.asList(recs);
	}
	}
	diff --git a/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamThreadTest.java b/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamThreadTest.java
	index cbb2558c..d5011a30 100644
	--- a/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamThreadTest.java
	+++ b/streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamThreadTest.java
	@@ -1,460 +1,461 @@
	/**
	* 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.kafka.streams.processor.internals;

	import static org.junit.Assert.assertEquals;
	import static org.junit.Assert.assertFalse;
	import static org.junit.Assert.assertTrue;

	import org.apache.kafka.clients.consumer.Consumer;
	import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
	import org.apache.kafka.clients.consumer.MockConsumer;
	import org.apache.kafka.clients.consumer.OffsetResetStrategy;
	import org.apache.kafka.clients.consumer.internals.PartitionAssignor;
	import org.apache.kafka.clients.producer.MockProducer;
	import org.apache.kafka.clients.producer.Producer;
	import org.apache.kafka.common.Cluster;
	import org.apache.kafka.common.Node;
	import org.apache.kafka.common.PartitionInfo;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.common.metrics.Metrics;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.utils.MockTime;
	import org.apache.kafka.common.utils.SystemTime;
	import org.apache.kafka.common.utils.Utils;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.processor.PartitionGrouper;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.TopologyBuilder;
	import org.apache.kafka.test.MockProcessorSupplier;
	import org.junit.Test;

	import java.io.File;
	import java.nio.file.Files;
	import java.util.Arrays;
	import java.util.Collection;
	import java.util.Collections;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.List;
	import java.util.Map;
	import java.util.Properties;
	import java.util.Set;

	public class StreamThreadTest {

	private TopicPartition t1p1 = new TopicPartition("topic1", 1);
	private TopicPartition t1p2 = new TopicPartition("topic1", 2);
	private TopicPartition t2p1 = new TopicPartition("topic2", 1);
	private TopicPartition t2p2 = new TopicPartition("topic2", 2);
	private TopicPartition t3p1 = new TopicPartition("topic3", 1);
	private TopicPartition t3p2 = new TopicPartition("topic3", 2);

	private List<PartitionInfo> infos = Arrays.asList(
	new PartitionInfo("topic1", 0, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic1", 1, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic1", 2, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic2", 0, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic2", 1, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic2", 2, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic3", 0, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic3", 1, Node.noNode(), new Node[0], new Node[0]),
	new PartitionInfo("topic3", 2, Node.noNode(), new Node[0], new Node[0])
	);

	private Cluster metadata = new Cluster(Arrays.asList(Node.noNode()), infos);

	PartitionAssignor.Subscription subscription = new PartitionAssignor.Subscription(Arrays.asList("topic1", "topic2", "topic3"));

	// task0 is unused
	- private final int task1 = 1;
	- private final int task2 = 2;
	- // task3 is unused
	- private final int task4 = 4;
	- private final int task5 = 5;
	+ private final TaskId task1 = new TaskId(0, 1);
	+ private final TaskId task2 = new TaskId(0, 2);
	+ private final TaskId task3 = new TaskId(0, 3);
	+ private final TaskId task4 = new TaskId(1, 1);
	+ private final TaskId task5 = new TaskId(1, 2);

	private Properties configProps() {
	return new Properties() {
	{
	setProperty(StreamingConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
	setProperty(StreamingConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
	setProperty(StreamingConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
	setProperty(StreamingConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
	setProperty(StreamingConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, "org.apache.kafka.test.MockTimestampExtractor");
	setProperty(StreamingConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:2171");
	setProperty(StreamingConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, "3");
	}
	};
	}

	private static class TestStreamTask extends StreamTask {
	public boolean committed = false;

	- public TestStreamTask(int id,
	+ public TestStreamTask(TaskId id,
	Consumer<byte[], byte[]> consumer,
	Producer<byte[], byte[]> producer,
	Consumer<byte[], byte[]> restoreConsumer,
	Collection<TopicPartition> partitions,
	ProcessorTopology topology,
	StreamingConfig config) {
	super(id, consumer, producer, restoreConsumer, partitions, topology, config, null);
	}

	@Override
	public void commit() {
	super.commit();
	committed = true;
	}
	}

	private ByteArraySerializer serializer = new ByteArraySerializer();

	@SuppressWarnings("unchecked")
	@Test
	public void testPartitionAssignmentChange() throws Exception {
	StreamingConfig config = new StreamingConfig(configProps());

	MockProducer<byte[], byte[]> producer = new MockProducer<>(true, serializer, serializer);
	MockConsumer<byte[], byte[]> consumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	final MockConsumer<byte[], byte[]> mockRestoreConsumer = new MockConsumer<>(OffsetResetStrategy.LATEST);

	TopologyBuilder builder = new TopologyBuilder();
	builder.addSource("source1", "topic1");
	builder.addSource("source2", "topic2");
	builder.addSource("source3", "topic3");
	builder.addProcessor("processor", new MockProcessorSupplier(), "source2", "source3");

	StreamThread thread = new StreamThread(builder, config, producer, consumer, mockRestoreConsumer, "test", new Metrics(), new SystemTime()) {
	@Override
	- protected StreamTask createStreamTask(int id, Collection<TopicPartition> partitionsForTask) {
	+ protected StreamTask createStreamTask(TaskId id, Collection<TopicPartition> partitionsForTask) {
	return new TestStreamTask(id, consumer, producer, mockRestoreConsumer, partitionsForTask, builder.build(), config);
	}
	};

	initPartitionGrouper(thread);

	ConsumerRebalanceListener rebalanceListener = thread.rebalanceListener;

	assertTrue(thread.tasks().isEmpty());

	List<TopicPartition> revokedPartitions;
	List<TopicPartition> assignedPartitions;
	Set<TopicPartition> expectedGroup1;
	Set<TopicPartition> expectedGroup2;

	revokedPartitions = Collections.emptyList();
	assignedPartitions = Collections.singletonList(t1p1);
	expectedGroup1 = new HashSet<>(Arrays.asList(t1p1));

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().containsKey(task1));
	assertEquals(expectedGroup1, thread.tasks().get(task1).partitions());
	assertEquals(1, thread.tasks().size());

	revokedPartitions = assignedPartitions;
	assignedPartitions = Collections.singletonList(t1p2);
	expectedGroup2 = new HashSet<>(Arrays.asList(t1p2));

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().containsKey(task2));
	assertEquals(expectedGroup2, thread.tasks().get(task2).partitions());
	assertEquals(1, thread.tasks().size());

	revokedPartitions = assignedPartitions;
	assignedPartitions = Arrays.asList(t1p1, t1p2);
	expectedGroup1 = new HashSet<>(Collections.singleton(t1p1));
	expectedGroup2 = new HashSet<>(Collections.singleton(t1p2));

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().containsKey(task1));
	assertTrue(thread.tasks().containsKey(task2));
	assertEquals(expectedGroup1, thread.tasks().get(task1).partitions());
	assertEquals(expectedGroup2, thread.tasks().get(task2).partitions());
	assertEquals(2, thread.tasks().size());

	revokedPartitions = assignedPartitions;
	assignedPartitions = Arrays.asList(t2p1, t2p2, t3p1, t3p2);
	expectedGroup1 = new HashSet<>(Arrays.asList(t2p1, t3p1));
	expectedGroup2 = new HashSet<>(Arrays.asList(t2p2, t3p2));

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().containsKey(task4));
	assertTrue(thread.tasks().containsKey(task5));
	assertEquals(expectedGroup1, thread.tasks().get(task4).partitions());
	assertEquals(expectedGroup2, thread.tasks().get(task5).partitions());
	assertEquals(2, thread.tasks().size());

	revokedPartitions = assignedPartitions;
	assignedPartitions = Arrays.asList(t1p1, t2p1, t3p1);
	expectedGroup1 = new HashSet<>(Arrays.asList(t1p1));
	expectedGroup2 = new HashSet<>(Arrays.asList(t2p1, t3p1));

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().containsKey(task1));
	assertTrue(thread.tasks().containsKey(task4));
	assertEquals(expectedGroup1, thread.tasks().get(task1).partitions());
	assertEquals(expectedGroup2, thread.tasks().get(task4).partitions());
	assertEquals(2, thread.tasks().size());

	revokedPartitions = assignedPartitions;
	assignedPartitions = Collections.emptyList();

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertTrue(thread.tasks().isEmpty());
	}

	@Test
	public void testMaybeClean() throws Exception {
	File baseDir = Files.createTempDirectory("test").toFile();
	try {
	final long cleanupDelay = 1000L;
	Properties props = configProps();
	props.setProperty(StreamingConfig.STATE_CLEANUP_DELAY_MS_CONFIG, Long.toString(cleanupDelay));
	props.setProperty(StreamingConfig.STATE_DIR_CONFIG, baseDir.getCanonicalPath());

	StreamingConfig config = new StreamingConfig(props);

	- File stateDir1 = new File(baseDir, "1");
	- File stateDir2 = new File(baseDir, "2");
	- File stateDir3 = new File(baseDir, "3");
	+ File stateDir1 = new File(baseDir, task1.toString());
	+ File stateDir2 = new File(baseDir, task2.toString());
	+ File stateDir3 = new File(baseDir, task3.toString());
	File extraDir = new File(baseDir, "X");
	stateDir1.mkdir();
	stateDir2.mkdir();
	stateDir3.mkdir();
	extraDir.mkdir();

	MockProducer<byte[], byte[]> producer = new MockProducer<>(true, serializer, serializer);
	MockConsumer<byte[], byte[]> consumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	final MockConsumer<byte[], byte[]> mockRestoreConsumer = new MockConsumer<>(OffsetResetStrategy.LATEST);
	MockTime mockTime = new MockTime();

	TopologyBuilder builder = new TopologyBuilder();
	builder.addSource("source1", "topic1");

	StreamThread thread = new StreamThread(builder, config, producer, consumer, mockRestoreConsumer, "test", new Metrics(), mockTime) {
	@Override
	public void maybeClean() {
	super.maybeClean();
	}

	@Override
	- protected StreamTask createStreamTask(int id, Collection<TopicPartition> partitionsForTask) {
	+ protected StreamTask createStreamTask(TaskId id, Collection<TopicPartition> partitionsForTask) {
	return new TestStreamTask(id, consumer, producer, mockRestoreConsumer, partitionsForTask, builder.build(), config);
	}
	};

	initPartitionGrouper(thread);

	ConsumerRebalanceListener rebalanceListener = thread.rebalanceListener;

	assertTrue(thread.tasks().isEmpty());
	mockTime.sleep(cleanupDelay);

	// all directories exist since an assignment didn't happen
	assertTrue(stateDir1.exists());
	assertTrue(stateDir2.exists());
	assertTrue(stateDir3.exists());
	assertTrue(extraDir.exists());

	List<TopicPartition> revokedPartitions;
	List<TopicPartition> assignedPartitions;
	Map<Integer, StreamTask> prevTasks;

	//
	// Assign t1p1 and t1p2. This should create task1 & task2
	//
	revokedPartitions = Collections.emptyList();
	assignedPartitions = Arrays.asList(t1p1, t1p2);
	prevTasks = new HashMap(thread.tasks());

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	// there shouldn't be any previous task
	assertTrue(prevTasks.isEmpty());

	// task 1 & 2 are created
	assertEquals(2, thread.tasks().size());

	// all directories should still exit before the cleanup delay time
	mockTime.sleep(cleanupDelay - 10L);
	thread.maybeClean();
	assertTrue(stateDir1.exists());
	assertTrue(stateDir2.exists());
	assertTrue(stateDir3.exists());
	assertTrue(extraDir.exists());

	// all state directories except for task task2 & task3 will be removed. the extra directory should still exists
	mockTime.sleep(11L);
	thread.maybeClean();
	assertTrue(stateDir1.exists());
	assertTrue(stateDir2.exists());
	assertFalse(stateDir3.exists());
	assertTrue(extraDir.exists());

	//
	// Revoke t1p1 and t1p2. This should remove task1 & task2
	//
	revokedPartitions = assignedPartitions;
	assignedPartitions = Collections.emptyList();
	prevTasks = new HashMap(thread.tasks());

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	// previous tasks should be committed
	assertEquals(2, prevTasks.size());
	for (StreamTask task : prevTasks.values()) {
	assertTrue(((TestStreamTask) task).committed);
	((TestStreamTask) task).committed = false;
	}

	// no task
	assertTrue(thread.tasks().isEmpty());

	// all state directories for task task1 & task2 still exist before the cleanup delay time
	mockTime.sleep(cleanupDelay - 10L);
	thread.maybeClean();
	assertTrue(stateDir1.exists());
	assertTrue(stateDir2.exists());
	assertFalse(stateDir3.exists());
	assertTrue(extraDir.exists());

	// all state directories for task task1 & task2 are removed
	mockTime.sleep(11L);
	thread.maybeClean();
	assertFalse(stateDir1.exists());
	assertFalse(stateDir2.exists());
	assertFalse(stateDir3.exists());
	assertTrue(extraDir.exists());

	} finally {
	Utils.delete(baseDir);
	}
	}

	@Test
	public void testMaybeCommit() throws Exception {
	File baseDir = Files.createTempDirectory("test").toFile();
	try {
	final long commitInterval = 1000L;
	Properties props = configProps();
	props.setProperty(StreamingConfig.STATE_DIR_CONFIG, baseDir.getCanonicalPath());
	props.setProperty(StreamingConfig.COMMIT_INTERVAL_MS_CONFIG, Long.toString(commitInterval));

	StreamingConfig config = new StreamingConfig(props);

	MockProducer<byte[], byte[]> producer = new MockProducer<>(true, serializer, serializer);
	MockConsumer<byte[], byte[]> consumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	final MockConsumer<byte[], byte[]> mockRestoreConsumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	MockTime mockTime = new MockTime();

	TopologyBuilder builder = new TopologyBuilder();
	builder.addSource("source1", "topic1");

	StreamThread thread = new StreamThread(builder, config, producer, consumer, mockRestoreConsumer, "test", new Metrics(), mockTime) {
	@Override
	public void maybeCommit() {
	super.maybeCommit();
	}

	@Override
	- protected StreamTask createStreamTask(int id, Collection<TopicPartition> partitionsForTask) {
	+ protected StreamTask createStreamTask(TaskId id, Collection<TopicPartition> partitionsForTask) {
	return new TestStreamTask(id, consumer, producer, mockRestoreConsumer, partitionsForTask, builder.build(), config);
	}
	};

	initPartitionGrouper(thread);

	ConsumerRebalanceListener rebalanceListener = thread.rebalanceListener;

	List<TopicPartition> revokedPartitions;
	List<TopicPartition> assignedPartitions;

	//
	// Assign t1p1 and t1p2. This should create Task 1 & 2
	//
	revokedPartitions = Collections.emptyList();
	assignedPartitions = Arrays.asList(t1p1, t1p2);

	rebalanceListener.onPartitionsRevoked(revokedPartitions);
	rebalanceListener.onPartitionsAssigned(assignedPartitions);

	assertEquals(2, thread.tasks().size());

	// no task is committed before the commit interval
	mockTime.sleep(commitInterval - 10L);
	thread.maybeCommit();
	for (StreamTask task : thread.tasks().values()) {
	assertFalse(((TestStreamTask) task).committed);
	}

	// all tasks are committed after the commit interval
	mockTime.sleep(11L);
	thread.maybeCommit();
	for (StreamTask task : thread.tasks().values()) {
	assertTrue(((TestStreamTask) task).committed);
	((TestStreamTask) task).committed = false;
	}

	// no task is committed before the commit interval, again
	mockTime.sleep(commitInterval - 10L);
	thread.maybeCommit();
	for (StreamTask task : thread.tasks().values()) {
	assertFalse(((TestStreamTask) task).committed);
	}

	// all tasks are committed after the commit interval, again
	mockTime.sleep(11L);
	thread.maybeCommit();
	for (StreamTask task : thread.tasks().values()) {
	assertTrue(((TestStreamTask) task).committed);
	((TestStreamTask) task).committed = false;
	}

	} finally {
	Utils.delete(baseDir);
	}
	}

	private void initPartitionGrouper(StreamThread thread) {
	PartitionGrouper partitionGrouper = thread.partitionGrouper();

	KafkaStreamingPartitionAssignor partitionAssignor = new KafkaStreamingPartitionAssignor();

	partitionAssignor.configure(
	Collections.singletonMap(StreamingConfig.InternalConfig.PARTITION_GROUPER_INSTANCE, partitionGrouper)
	);

	Map<String, PartitionAssignor.Assignment> assignments =
	partitionAssignor.assign(metadata, Collections.singletonMap("client", subscription));

	partitionAssignor.onAssignment(assignments.get("client"));
	}
	}
	diff --git a/streams/src/test/java/org/apache/kafka/streams/state/KeyValueStoreTestDriver.java b/streams/src/test/java/org/apache/kafka/streams/state/KeyValueStoreTestDriver.java
	index 4dfa9c21..7e1512af 100644
	--- a/streams/src/test/java/org/apache/kafka/streams/state/KeyValueStoreTestDriver.java
	+++ b/streams/src/test/java/org/apache/kafka/streams/state/KeyValueStoreTestDriver.java
	@@ -1,441 +1,442 @@
	/**
	* 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.kafka.streams.state;

	import org.apache.kafka.clients.producer.MockProducer;
	import org.apache.kafka.clients.producer.Producer;
	import org.apache.kafka.clients.producer.ProducerRecord;
	import org.apache.kafka.common.metrics.Sensor;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.apache.kafka.streams.processor.StateRestoreCallback;
	import org.apache.kafka.streams.processor.StateStore;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.internals.RecordCollector;
	import org.apache.kafka.test.MockProcessorContext;

	import java.io.File;
	import java.util.HashMap;
	import java.util.HashSet;
	import java.util.LinkedList;
	import java.util.List;
	import java.util.Map;
	import java.util.Objects;
	import java.util.Set;

	/**
	* A component that provides a {@link #context() ProcessingContext} that can be supplied to a {@link KeyValueStore} so that
	* all entries written to the Kafka topic by the store during {@link KeyValueStore#flush()} are captured for testing purposes.
	* This class simplifies testing of various {@link KeyValueStore} instances, especially those that use
	* {@link MeteredKeyValueStore} to monitor and write its entries to the Kafka topic.
	* <p>
	* <h2>Basic usage</h2>
	* This component can be used to help test a {@link KeyValueStore}'s ability to read and write entries.
	*
	* <pre>
	* // Create the test driver ...
	* KeyValueStoreTestDriver<Integer, String> driver = KeyValueStoreTestDriver.create();
	* KeyValueStore<Integer, String> store = Stores.create("my-store", driver.context())
	* .withIntegerKeys().withStringKeys()
	* .inMemory().build();
	*
	* // Verify that the store reads and writes correctly ...
	* store.put(0, "zero");
	* store.put(1, "one");
	* store.put(2, "two");
	* store.put(4, "four");
	* store.put(5, "five");
	* assertEquals(5, driver.sizeOf(store));
	* assertEquals("zero", store.get(0));
	* assertEquals("one", store.get(1));
	* assertEquals("two", store.get(2));
	* assertEquals("four", store.get(4));
	* assertEquals("five", store.get(5));
	* assertNull(store.get(3));
	* store.delete(5);
	*
	* // Flush the store and verify all current entries were properly flushed ...
	* store.flush();
	* assertEquals("zero", driver.flushedEntryStored(0));
	* assertEquals("one", driver.flushedEntryStored(1));
	* assertEquals("two", driver.flushedEntryStored(2));
	* assertEquals("four", driver.flushedEntryStored(4));
	* assertEquals(null, driver.flushedEntryStored(5));
	*
	* assertEquals(false, driver.flushedEntryRemoved(0));
	* assertEquals(false, driver.flushedEntryRemoved(1));
	* assertEquals(false, driver.flushedEntryRemoved(2));
	* assertEquals(false, driver.flushedEntryRemoved(4));
	* assertEquals(true, driver.flushedEntryRemoved(5));
	* </pre>
	*
	* <p>
	* <h2>Restoring a store</h2>
	* This component can be used to test whether a {@link KeyValueStore} implementation properly
	* {@link ProcessorContext#register(StateStore, StateRestoreCallback) registers itself} with the {@link ProcessorContext}, so that
	* the persisted contents of a store are properly restored from the flushed entries when the store instance is started.
	* <p>
	* To do this, create an instance of this driver component, {@link #addEntryToRestoreLog(Object, Object) add entries} that will be
	* passed to the store upon creation (simulating the entries that were previously flushed to the topic), and then create the store
	* using this driver's {@link #context() ProcessorContext}:
	*
	* <pre>
	* // Create the test driver ...
	* KeyValueStoreTestDriver<Integer, String> driver = KeyValueStoreTestDriver.create(Integer.class, String.class);
	*
	* // Add any entries that will be restored to any store that uses the driver's context ...
	* driver.addRestoreEntry(0, "zero");
	* driver.addRestoreEntry(1, "one");
	* driver.addRestoreEntry(2, "two");
	* driver.addRestoreEntry(4, "four");
	*
	* // Create the store, which should register with the context and automatically
	* // receive the restore entries ...
	* KeyValueStore<Integer, String> store = Stores.create("my-store", driver.context())
	* .withIntegerKeys().withStringKeys()
	* .inMemory().build();
	*
	* // Verify that the store's contents were properly restored ...
	* assertEquals(0, driver.checkForRestoredEntries(store));
	*
	* // and there are no other entries ...
	* assertEquals(4, driver.sizeOf(store));
	* </pre>
	*
	* @param <K> the type of keys placed in the store
	* @param <V> the type of values placed in the store
	*/
	public class KeyValueStoreTestDriver<K, V> {

	private static <T> Serializer<T> unusableSerializer() {
	return new Serializer<T>() {
	@Override
	public void configure(Map<String, ?> configs, boolean isKey) {
	}

	@Override
	public byte[] serialize(String topic, T data) {
	throw new UnsupportedOperationException("This serializer should not be used");
	}

	@Override
	public void close() {
	}
	};
	};

	private static <T> Deserializer<T> unusableDeserializer() {
	return new Deserializer<T>() {
	@Override
	public void configure(Map<String, ?> configs, boolean isKey) {
	}

	@Override
	public T deserialize(String topic, byte[] data) {
	throw new UnsupportedOperationException("This deserializer should not be used");
	}

	@Override
	public void close() {
	}
	};
	};

	/**
	* Create a driver object that will have a {@link #context()} that records messages
	* {@link ProcessorContext#forward(Object, Object) forwarded} by the store and that provides <em>unusable</em> default key and
	* value serializers and deserializers. This can be used when the actual serializers and deserializers are supplied to the
	* store during creation, which should eliminate the need for a store to depend on the ProcessorContext's default key and
	* value serializers and deserializers.
	*
	* @return the test driver; never null
	*/
	public static <K, V> KeyValueStoreTestDriver<K, V> create() {
	Serializer<K> keySerializer = unusableSerializer();
	Deserializer<K> keyDeserializer = unusableDeserializer();
	Serializer<V> valueSerializer = unusableSerializer();
	Deserializer<V> valueDeserializer = unusableDeserializer();
	Serdes<K, V> serdes = new Serdes<K, V>("unexpected", keySerializer, keyDeserializer, valueSerializer, valueDeserializer);
	return new KeyValueStoreTestDriver<K, V>(serdes);
	}

	/**
	* Create a driver object that will have a {@link #context()} that records messages
	* {@link ProcessorContext#forward(Object, Object) forwarded} by the store and that provides default serializers and
	* deserializers for the given built-in key and value types (e.g., {@code String.class}, {@code Integer.class},
	* {@code Long.class}, and {@code byte[].class}). This can be used when store is created to rely upon the
	* ProcessorContext's default key and value serializers and deserializers.
	*
	* @param keyClass the class for the keys; must be one of {@code String.class}, {@code Integer.class},
	* {@code Long.class}, or {@code byte[].class}
	* @param valueClass the class for the values; must be one of {@code String.class}, {@code Integer.class},
	* {@code Long.class}, or {@code byte[].class}
	* @return the test driver; never null
	*/
	public static <K, V> KeyValueStoreTestDriver<K, V> create(Class<K> keyClass, Class<V> valueClass) {
	Serdes<K, V> serdes = Serdes.withBuiltinTypes("unexpected", keyClass, valueClass);
	return new KeyValueStoreTestDriver<K, V>(serdes);
	}

	/**
	* Create a driver object that will have a {@link #context()} that records messages
	* {@link ProcessorContext#forward(Object, Object) forwarded} by the store and that provides the specified serializers and
	* deserializers. This can be used when store is created to rely upon the ProcessorContext's default key and value serializers
	* and deserializers.
	*
	* @param keySerializer the key serializer for the {@link ProcessorContext}; may not be null
	* @param keyDeserializer the key deserializer for the {@link ProcessorContext}; may not be null
	* @param valueSerializer the value serializer for the {@link ProcessorContext}; may not be null
	* @param valueDeserializer the value deserializer for the {@link ProcessorContext}; may not be null
	* @return the test driver; never null
	*/
	public static <K, V> KeyValueStoreTestDriver<K, V> create(Serializer<K> keySerializer,
	Deserializer<K> keyDeserializer,
	Serializer<V> valueSerializer,
	Deserializer<V> valueDeserializer) {
	Serdes<K, V> serdes = new Serdes<K, V>("unexpected", keySerializer, keyDeserializer, valueSerializer, valueDeserializer);
	return new KeyValueStoreTestDriver<K, V>(serdes);
	}

	private final Serdes<K, V> serdes;
	private final Map<K, V> flushedEntries = new HashMap<>();
	private final Set<K> flushedRemovals = new HashSet<>();
	private final List<Entry<K, V>> restorableEntries = new LinkedList<>();
	private final MockProcessorContext context;
	private final Map<String, StateStore> storeMap = new HashMap<>();
	private final StreamingMetrics metrics = new StreamingMetrics() {
	@Override
	public Sensor addLatencySensor(String scopeName, String entityName, String operationName, String... tags) {
	return null;
	}

	@Override
	public void recordLatency(Sensor sensor, long startNs, long endNs) {
	}
	};
	private final RecordCollector recordCollector;
	private File stateDir = new File("build/data").getAbsoluteFile();

	protected KeyValueStoreTestDriver(Serdes<K, V> serdes) {
	this.serdes = serdes;
	ByteArraySerializer rawSerializer = new ByteArraySerializer();
	Producer<byte[], byte[]> producer = new MockProducer<byte[], byte[]>(true, rawSerializer, rawSerializer);
	this.recordCollector = new RecordCollector(producer) {
	@Override
	public <K1, V1> void send(ProducerRecord<K1, V1> record, Serializer<K1> keySerializer, Serializer<V1> valueSerializer) {
	recordFlushed(record.key(), record.value());
	}
	};
	this.context = new MockProcessorContext(null, serdes.keySerializer(), serdes.keyDeserializer(), serdes.valueSerializer(),
	serdes.valueDeserializer(), recordCollector) {
	@Override
	- public int id() {
	- return 1;
	+ public TaskId id() {
	+ return new TaskId(0, 1);
	}

	@Override
	public <K1, V1> void forward(K1 key, V1 value, int childIndex) {
	forward(key, value);
	}

	@Override
	public void register(StateStore store, StateRestoreCallback func) {
	storeMap.put(store.name(), store);
	restoreEntries(func);
	}

	@Override
	public StateStore getStateStore(String name) {
	return storeMap.get(name);
	}

	@Override
	public StreamingMetrics metrics() {
	return metrics;
	}

	@Override
	public File stateDir() {
	if (stateDir == null) {
	stateDir = StateUtils.tempDir();
	}
	stateDir.mkdirs();
	return stateDir;
	}
	};
	}

	/**
	* Set the directory that should be used by the store for local disk storage.
	*
	* @param dir the directory; may be null if no local storage is allowed
	*/
	public void useStateDir(File dir) {
	this.stateDir = dir;
	}

	@SuppressWarnings("unchecked")
	protected <K1, V1> void recordFlushed(K1 key, V1 value) {
	K k = (K) key;
	if (value == null) {
	// This is a removal ...
	flushedRemovals.add(k);
	flushedEntries.remove(k);
	} else {
	// This is a normal add
	flushedEntries.put(k, (V) value);
	flushedRemovals.remove(k);
	}
	}

	private void restoreEntries(StateRestoreCallback func) {
	for (Entry<K, V> entry : restorableEntries) {
	if (entry != null) {
	byte[] rawKey = serdes.rawKey(entry.key());
	byte[] rawValue = serdes.rawValue(entry.value());
	func.restore(rawKey, rawValue);
	}
	}
	}

	/**
	* This method adds an entry to the "restore log" for the {@link KeyValueStore}, and is used <em>only</em> when testing the
	* restore functionality of a {@link KeyValueStore} implementation.
	* <p>
	* To create such a test, create the test driver, call this method one or more times, and then create the
	* {@link KeyValueStore}. Your tests can then check whether the store contains the entries from the log.
	*
	* <pre>
	* // Set up the driver and pre-populate the log ...
	* KeyValueStoreTestDriver<Integer, String> driver = KeyValueStoreTestDriver.create();
	* driver.addRestoreEntry(1,"value1");
	* driver.addRestoreEntry(2,"value2");
	* driver.addRestoreEntry(3,"value3");
	*
	* // Create the store using the driver's context ...
	* ProcessorContext context = driver.context();
	* KeyValueStore<Integer, String> store = ...
	*
	* // Verify that the store's contents were properly restored from the log ...
	* assertEquals(0, driver.checkForRestoredEntries(store));
	*
	* // and there are no other entries ...
	* assertEquals(3, driver.sizeOf(store));
	* </pre>
	*
	* @param key the key for the entry
	* @param value the value for the entry
	* @see #checkForRestoredEntries(KeyValueStore)
	*/
	public void addEntryToRestoreLog(K key, V value) {
	restorableEntries.add(new Entry<K, V>(key, value));
	}

	/**
	* Get the context that should be supplied to a {@link KeyValueStore}'s constructor. This context records any messages
	* written by the store to the Kafka topic, making them available via the {@link #flushedEntryStored(Object)} and
	* {@link #flushedEntryRemoved(Object)} methods.
	* <p>
	* If the {@link KeyValueStore}'s are to be restored upon its startup, be sure to {@link #addEntryToRestoreLog(Object, Object)
	* add the restore entries} before creating the store with the {@link ProcessorContext} returned by this method.
	*
	* @return the processing context; never null
	* @see #addEntryToRestoreLog(Object, Object)
	*/
	public ProcessorContext context() {
	return context;
	}

	/**
	* Get the entries that are restored to a KeyValueStore when it is constructed with this driver's {@link #context()
	* ProcessorContext}.
	*
	* @return the restore entries; never null but possibly a null iterator
	*/
	public Iterable<Entry<K, V>> restoredEntries() {
	return restorableEntries;
	}

	/**
	* Utility method that will count the number of {@link #addEntryToRestoreLog(Object, Object) restore entries} missing from the
	* supplied store.
	*
	* @param store the store that is to have all of the {@link #restoredEntries() restore entries}
	* @return the number of restore entries missing from the store, or 0 if all restore entries were found
	* @see #addEntryToRestoreLog(Object, Object)
	*/
	public int checkForRestoredEntries(KeyValueStore<K, V> store) {
	int missing = 0;
	for (Entry<K, V> entry : restorableEntries) {
	if (entry != null) {
	V value = store.get(entry.key());
	if (!Objects.equals(value, entry.value())) {
	++missing;
	}
	}
	}
	return missing;
	}

	/**
	* Utility method to compute the number of entries within the store.
	*
	* @param store the key value store using this {@link #context()}.
	* @return the number of entries
	*/
	public int sizeOf(KeyValueStore<K, V> store) {
	int size = 0;
	for (KeyValueIterator<K, V> iterator = store.all(); iterator.hasNext();) {
	iterator.next();
	++size;
	}
	return size;
	}

	/**
	* Retrieve the value that the store {@link KeyValueStore#flush() flushed} with the given key.
	*
	* @param key the key
	* @return the value that was flushed with the key, or {@code null} if no such key was flushed or if the entry with this
	* key was {@link #flushedEntryStored(Object) removed} upon flush
	*/
	public V flushedEntryStored(K key) {
	return flushedEntries.get(key);
	}

	/**
	* Determine whether the store {@link KeyValueStore#flush() flushed} the removal of the given key.
	*
	* @param key the key
	* @return {@code true} if the entry with the given key was removed when flushed, or {@code false} if the entry was not
	* removed when last flushed
	*/
	public boolean flushedEntryRemoved(K key) {
	return flushedRemovals.contains(key);
	}

	/**
	* Remove all {@link #flushedEntryStored(Object) flushed entries}, {@link #flushedEntryRemoved(Object) flushed removals},
	*/
	public void clear() {
	restorableEntries.clear();
	flushedEntries.clear();
	flushedRemovals.clear();
	}
	}
	diff --git a/streams/src/test/java/org/apache/kafka/test/MockProcessorContext.java b/streams/src/test/java/org/apache/kafka/test/MockProcessorContext.java
	index 16df9c55..40f11a0a 100644
	--- a/streams/src/test/java/org/apache/kafka/test/MockProcessorContext.java
	+++ b/streams/src/test/java/org/apache/kafka/test/MockProcessorContext.java
	@@ -1,172 +1,173 @@
	/**
	* 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.kafka.test;

	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.ProcessorContext;
	import org.apache.kafka.streams.processor.StateRestoreCallback;
	import org.apache.kafka.streams.processor.StateStore;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.internals.RecordCollector;

	import java.io.File;
	import java.util.HashMap;
	import java.util.Map;

	public class MockProcessorContext implements ProcessorContext, RecordCollector.Supplier {

	private final KStreamTestDriver driver;
	private final Serializer keySerializer;
	private final Serializer valueSerializer;
	private final Deserializer keyDeserializer;
	private final Deserializer valueDeserializer;
	private final RecordCollector.Supplier recordCollectorSupplier;

	private Map<String, StateStore> storeMap = new HashMap<>();

	long timestamp = -1L;

	public MockProcessorContext(KStreamTestDriver driver, Serializer<?> serializer, Deserializer<?> deserializer) {
	this(driver, serializer, deserializer, serializer, deserializer, (RecordCollector.Supplier) null);
	}

	public MockProcessorContext(KStreamTestDriver driver, Serializer<?> keySerializer, Deserializer<?> keyDeserializer,
	Serializer<?> valueSerializer, Deserializer<?> valueDeserializer,
	final RecordCollector collector) {
	this(driver, keySerializer, keyDeserializer, valueSerializer, valueDeserializer,
	collector == null ? null : new RecordCollector.Supplier() {
	@Override
	public RecordCollector recordCollector() {
	return collector;
	}
	});
	}

	public MockProcessorContext(KStreamTestDriver driver, Serializer<?> keySerializer, Deserializer<?> keyDeserializer,
	Serializer<?> valueSerializer, Deserializer<?> valueDeserializer,
	RecordCollector.Supplier collectorSupplier) {
	this.driver = driver;
	this.keySerializer = keySerializer;
	this.valueSerializer = valueSerializer;
	this.keyDeserializer = keyDeserializer;
	this.valueDeserializer = valueDeserializer;
	this.recordCollectorSupplier = collectorSupplier;
	}

	@Override
	public RecordCollector recordCollector() {
	if (recordCollectorSupplier == null) {
	throw new UnsupportedOperationException("No RecordCollector specified");
	}
	return recordCollectorSupplier.recordCollector();
	}

	public void setTime(long timestamp) {
	this.timestamp = timestamp;
	}

	@Override
	- public int id() {
	- return 0;
	+ public TaskId id() {
	+ return new TaskId(0, 0);
	}

	@Override
	public Serializer<?> keySerializer() {
	return keySerializer;
	}

	@Override
	public Serializer<?> valueSerializer() {
	return valueSerializer;
	}

	@Override
	public Deserializer<?> keyDeserializer() {
	return keyDeserializer;
	}

	@Override
	public Deserializer<?> valueDeserializer() {
	return valueDeserializer;
	}

	@Override
	public File stateDir() {
	throw new UnsupportedOperationException("stateDir() not supported.");
	}

	@Override
	public StreamingMetrics metrics() {
	throw new UnsupportedOperationException("metrics() not supported.");
	}

	@Override
	public void register(StateStore store, StateRestoreCallback func) {
	if (func != null) throw new UnsupportedOperationException("StateRestoreCallback not supported.");
	storeMap.put(store.name(), store);
	}

	@Override
	public StateStore getStateStore(String name) {
	return storeMap.get(name);
	}

	@Override
	public void schedule(long interval) {
	throw new UnsupportedOperationException("schedule() not supported");
	}

	@Override
	@SuppressWarnings("unchecked")
	public <K, V> void forward(K key, V value) {
	driver.forward(key, value);
	}

	@Override
	@SuppressWarnings("unchecked")
	public <K, V> void forward(K key, V value, int childIndex) {
	driver.forward(key, value, childIndex);
	}

	@Override
	public void commit() {
	throw new UnsupportedOperationException("commit() not supported.");
	}

	@Override
	public String topic() {
	throw new UnsupportedOperationException("topic() not supported.");
	}

	@Override
	public int partition() {
	throw new UnsupportedOperationException("partition() not supported.");
	}

	@Override
	public long offset() {
	throw new UnsupportedOperationException("offset() not supported.");
	}

	@Override
	public long timestamp() {
	return this.timestamp;
	}

	}
	diff --git a/streams/src/test/java/org/apache/kafka/test/ProcessorTopologyTestDriver.java b/streams/src/test/java/org/apache/kafka/test/ProcessorTopologyTestDriver.java
	index 8eb2c624..0c4b1a26 100644
	--- a/streams/src/test/java/org/apache/kafka/test/ProcessorTopologyTestDriver.java
	+++ b/streams/src/test/java/org/apache/kafka/test/ProcessorTopologyTestDriver.java
	@@ -1,336 +1,337 @@
	/**
	* 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.kafka.test;

	import org.apache.kafka.clients.consumer.ConsumerRecord;
	import org.apache.kafka.clients.consumer.MockConsumer;
	import org.apache.kafka.clients.consumer.OffsetResetStrategy;
	import org.apache.kafka.clients.producer.MockProducer;
	import org.apache.kafka.clients.producer.ProducerRecord;
	import org.apache.kafka.common.PartitionInfo;
	import org.apache.kafka.common.TopicPartition;
	import org.apache.kafka.common.metrics.Sensor;
	import org.apache.kafka.common.serialization.ByteArraySerializer;
	import org.apache.kafka.common.serialization.Deserializer;
	import org.apache.kafka.common.serialization.Serializer;
	import org.apache.kafka.streams.StreamingConfig;
	import org.apache.kafka.streams.StreamingMetrics;
	import org.apache.kafka.streams.processor.StateStore;
	+import org.apache.kafka.streams.processor.TaskId;
	import org.apache.kafka.streams.processor.TopologyBuilder;
	import org.apache.kafka.streams.processor.internals.ProcessorTopology;
	import org.apache.kafka.streams.processor.internals.StreamTask;
	import org.apache.kafka.streams.state.KeyValueStore;

	import java.util.ArrayList;
	import java.util.Collections;
	import java.util.HashMap;
	import java.util.LinkedList;
	import java.util.List;
	import java.util.Map;
	import java.util.Queue;
	import java.util.concurrent.atomic.AtomicLong;

	/**
	* This class makes it easier to write tests to verify the behavior of topologies created with a {@link TopologyBuilder}.
	* You can test simple topologies that have a single processor, or very complex topologies that have multiple sources, processors,
	* and sinks. And because it starts with a {@link TopologyBuilder}, you can create topologies specific to your tests or you
	* can use and test code you already have that uses a builder to create topologies. Best of all, the class works without a real
	* Kafka broker, so the tests execute very quickly with very little overhead.
	* <p>
	* Using the ProcessorTopologyTestDriver in tests is easy: simply instantiate the driver with a {@link StreamingConfig} and a
	* TopologyBuilder, use the driver to supply an input message to the topology, and then use the driver to read and verify any
	* messages output by the topology.
	* <p>
	* Although the driver doesn't use a real Kafka broker, it does simulate Kafka {@link org.apache.kafka.clients.consumer.Consumer}s
	* and {@link org.apache.kafka.clients.producer.Producer}s that read and write raw {@code byte[]} messages. You can either deal
	* with messages that have {@code byte[]} keys and values, or you can supply the {@link Serializer}s and {@link Deserializer}s
	* that the driver can use to convert the keys and values into objects.
	- *
	+ *
	* <h2>Driver setup</h2>
	* <p>
	* In order to create a ProcessorTopologyTestDriver instance, you need a TopologyBuilder and a {@link StreamingConfig}. The
	* configuration needs to be representative of what you'd supply to the real topology, so that means including several key
	* properties. For example, the following code fragment creates a configuration that specifies a local Kafka broker list
	* (which is needed but not used), a timestamp extractor, and default serializers and deserializers for string keys and values:
	- *
	+ *
	* <pre>
	* StringSerializer strSerializer = new StringSerializer();
	* StringDeserializer strDeserializer = new StringDeserializer();
	* Properties props = new Properties();
	* props.setProperty(StreamingConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9091");
	* props.setProperty(StreamingConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, CustomTimestampExtractor.class.getName());
	* props.setProperty(StreamingConfig.KEY_SERIALIZER_CLASS_CONFIG, strSerializer.getClass().getName());
	* props.setProperty(StreamingConfig.KEY_DESERIALIZER_CLASS_CONFIG, strDeserializer.getClass().getName());
	* props.setProperty(StreamingConfig.VALUE_SERIALIZER_CLASS_CONFIG, strSerializer.getClass().getName());
	* props.setProperty(StreamingConfig.VALUE_DESERIALIZER_CLASS_CONFIG, strDeserializer.getClass().getName());
	* StreamingConfig config = new StreamingConfig(props);
	* TopologyBuilder builder = ...
	* ProcessorTopologyTestDriver driver = new ProcessorTopologyTestDriver(config, builder);
	* </pre>
	- *
	+ *
	* <h2>Processing messages</h2>
	* <p>
	* Your test can supply new input records on any of the topics that the topology's sources consume. Here's an example of an
	* input message on the topic named {@code input-topic}:
	- *
	+ *
	* <pre>
	* driver.process("input-topic", "key1", "value1", strSerializer, strSerializer);
	* </pre>
	- *
	+ *
	* Immediately, the driver will pass the input message through to the appropriate source that consumes the named topic,
	* and will invoke the processor(s) downstream of the source. If your topology's processors forward messages to sinks,
	* your test can then consume these output messages to verify they match the expected outcome. For example, if our topology
	* should have generated 2 messages on {@code output-topic-1} and 1 message on {@code output-topic-2}, then our test can
	* obtain these messages using the {@link #readOutput(String, Deserializer, Deserializer)} method:
	- *
	+ *
	* <pre>
	* ProducerRecord<String, String> record1 = driver.readOutput("output-topic-1", strDeserializer, strDeserializer);
	* ProducerRecord<String, String> record2 = driver.readOutput("output-topic-1", strDeserializer, strDeserializer);
	* ProducerRecord<String, String> record3 = driver.readOutput("output-topic-2", strDeserializer, strDeserializer);
	* </pre>
	- *
	+ *
	* Again, our example topology generates messages with string keys and values, so we supply our string deserializer instance
	* for use on both the keys and values. Your test logic can then verify whether these output records are correct.
	* <p>
	* Finally, when completed, make sure your tests {@link #close()} the driver to release all resources and
	* {@link org.apache.kafka.streams.processor.Processor}s.
	- *
	+ *
	* <h2>Processor state</h2>
	* <p>
	* Some processors use Kafka {@link StateStore state storage}, so this driver class provides the {@link #getStateStore(String)}
	* and {@link #getKeyValueStore(String)} methods so that your tests can check the underlying state store(s) used by your
	* topology's processors. In our previous example, after we supplied a single input message and checked the three output messages,
	* our test could also check the key value store to verify the processor correctly added, removed, or updated internal state.
	* Or, our test might have pre-populated some state <em>before</em> submitting the input message, and verified afterward that the
	* processor(s) correctly updated the state.
	*/
	public class ProcessorTopologyTestDriver {

	private final Serializer<byte[]> bytesSerializer = new ByteArraySerializer();

	- private final int id;
	+ private final TaskId id;
	private final ProcessorTopology topology;
	private final StreamTask task;
	private final MockConsumer<byte[], byte[]> consumer;
	private final MockProducer<byte[], byte[]> producer;
	private final MockConsumer<byte[], byte[]> restoreStateConsumer;
	private final Map<String, TopicPartition> partitionsByTopic = new HashMap<>();
	private final Map<TopicPartition, AtomicLong> offsetsByTopicPartition = new HashMap<>();
	private final Map<String, Queue<ProducerRecord<byte[], byte[]>>> outputRecordsByTopic = new HashMap<>();

	/**
	* Create a new test driver instance.
	* @param config the streaming configuration for the topology
	* @param builder the topology builder that will be used to create the topology instance
	* @param storeNames the optional names of the state stores that are used by the topology
	*/
	public ProcessorTopologyTestDriver(StreamingConfig config, TopologyBuilder builder, String... storeNames) {
	- id = 0;
	+ id = new TaskId(0, 0);
	topology = builder.build();

	// Set up the consumer and producer ...
	consumer = new MockConsumer<>(OffsetResetStrategy.EARLIEST);
	producer = new MockProducer<>(true, bytesSerializer, bytesSerializer);
	restoreStateConsumer = createRestoreConsumer(id, storeNames);

	// Set up all of the topic+partition information and subscribe the consumer to each ...
	for (String topic : topology.sourceTopics()) {
	TopicPartition tp = new TopicPartition(topic, 1);
	consumer.assign(Collections.singletonList(tp));
	partitionsByTopic.put(topic, tp);
	offsetsByTopicPartition.put(tp, new AtomicLong());
	}

	task = new StreamTask(id,
	consumer,
	producer,
	restoreStateConsumer,
	partitionsByTopic.values(),
	topology,
	config,
	new StreamingMetrics() {
	@Override
	public Sensor addLatencySensor(String scopeName, String entityName, String operationName, String... tags) {
	return null;
	}

	@Override
	public void recordLatency(Sensor sensor, long startNs, long endNs) {
	// do nothing
	}
	});
	}

	/**
	* Send an input message with the given key and value on the specified topic to the topology, and then commit the messages.
	- *
	+ *
	* @param topicName the name of the topic on which the message is to be sent
	* @param key the raw message key
	* @param value the raw message value
	*/
	public void process(String topicName, byte[] key, byte[] value) {
	TopicPartition tp = partitionsByTopic.get(topicName);
	if (tp == null) {
	throw new IllegalArgumentException("Unexpected topic: " + topicName);
	}
	// Add the record ...
	long offset = offsetsByTopicPartition.get(tp).incrementAndGet();
	task.addRecords(tp, records(new ConsumerRecord<byte[], byte[]>(tp.topic(), tp.partition(), offset, key, value)));
	producer.clear();
	// Process the record ...
	task.process();
	task.commit();
	// Capture all the records sent to the producer ...
	for (ProducerRecord<byte[], byte[]> record : producer.history()) {
	Queue<ProducerRecord<byte[], byte[]>> outputRecords = outputRecordsByTopic.get(record.topic());
	if (outputRecords == null) {
	outputRecords = new LinkedList<>();
	outputRecordsByTopic.put(record.topic(), outputRecords);
	}
	outputRecords.add(record);
	}
	}

	/**
	* Send an input message with the given key and value on the specified topic to the topology.
	- *
	+ *
	* @param topicName the name of the topic on which the message is to be sent
	* @param key the raw message key
	* @param value the raw message value
	* @param keySerializer the serializer for the key
	* @param valueSerializer the serializer for the value
	*/
	public <K, V> void process(String topicName, K key, V value, Serializer<K> keySerializer, Serializer<V> valueSerializer) {
	process(topicName, keySerializer.serialize(topicName, key), valueSerializer.serialize(topicName, value));
	}

	/**
	* Read the next record from the given topic. These records were output by the topology during the previous calls to
	* {@link #process(String, byte[], byte[])}.
	- *
	+ *
	* @param topic the name of the topic
	* @return the next record on that topic, or null if there is no record available
	*/
	public ProducerRecord<byte[], byte[]> readOutput(String topic) {
	Queue<ProducerRecord<byte[], byte[]>> outputRecords = outputRecordsByTopic.get(topic);
	if (outputRecords == null) return null;
	return outputRecords.poll();
	}

	/**
	* Read the next record from the given topic. These records were output by the topology during the previous calls to
	* {@link #process(String, byte[], byte[])}.
	- *
	+ *
	* @param topic the name of the topic
	* @param keyDeserializer the deserializer for the key type
	* @param valueDeserializer the deserializer for the value type
	* @return the next record on that topic, or null if there is no record available
	*/
	public <K, V> ProducerRecord<K, V> readOutput(String topic, Deserializer<K> keyDeserializer, Deserializer<V> valueDeserializer) {
	ProducerRecord<byte[], byte[]> record = readOutput(topic);
	if (record == null) return null;
	K key = keyDeserializer.deserialize(record.topic(), record.key());
	V value = valueDeserializer.deserialize(record.topic(), record.value());
	return new ProducerRecord<K, V>(record.topic(), record.partition(), key, value);
	}

	private Iterable<ConsumerRecord<byte[], byte[]>> records(ConsumerRecord<byte[], byte[]> record) {
	return Collections.singleton(record);
	}

	/**
	* Get the {@link StateStore} with the given name. The name should have been supplied via
	* {@link #ProcessorTopologyTestDriver(StreamingConfig, TopologyBuilder, String...) this object's constructor}, and is
	* presumed to be used by a Processor within the topology.
	* <p>
	* This is often useful in test cases to pre-populate the store before the test case instructs the topology to
	* {@link #process(String, byte[], byte[]) process an input message}, and/or to check the store afterward.
	- *
	+ *
	* @param name the name of the store
	* @return the state store, or null if no store has been registered with the given name
	* @see #getKeyValueStore(String)
	*/
	public StateStore getStateStore(String name) {
	return task.context().getStateStore(name);
	}

	/**
	* Get the {@link KeyValueStore} with the given name. The name should have been supplied via
	* {@link #ProcessorTopologyTestDriver(StreamingConfig, TopologyBuilder, String...) this object's constructor}, and is
	* presumed to be used by a Processor within the topology.
	* <p>
	* This is often useful in test cases to pre-populate the store before the test case instructs the topology to
	* {@link #process(String, byte[], byte[]) process an input message}, and/or to check the store afterward.
	* <p>
	- *
	+ *
	* @param name the name of the store
	* @return the key value store, or null if no {@link KeyValueStore} has been registered with the given name
	* @see #getStateStore(String)
	*/
	@SuppressWarnings("unchecked")
	public <K, V> KeyValueStore<K, V> getKeyValueStore(String name) {
	StateStore store = getStateStore(name);
	return store instanceof KeyValueStore ? (KeyValueStore<K, V>) getStateStore(name) : null;
	}

	/**
	* Close the driver, its topology, and all processors.
	*/
	public void close() {
	task.close();
	}

	/**
	* Utility method that creates the {@link MockConsumer} used for restoring state, which should not be done by this
	* driver object unless this method is overwritten with a functional consumer.
	- *
	+ *
	* @param id the ID of the stream task
	* @param storeNames the names of the stores that this
	* @return the mock consumer; never null
	*/
	- protected MockConsumer<byte[], byte[]> createRestoreConsumer(int id, String... storeNames) {
	+ protected MockConsumer<byte[], byte[]> createRestoreConsumer(TaskId id, String... storeNames) {
	MockConsumer<byte[], byte[]> consumer = new MockConsumer<byte[], byte[]>(OffsetResetStrategy.LATEST) {
	@Override
	public synchronized void seekToEnd(TopicPartition... partitions) {
	// do nothing ...
	}

	@Override
	public synchronized void seekToBeginning(TopicPartition... partitions) {
	// do nothing ...
	}

	@Override
	public synchronized long position(TopicPartition partition) {
	// do nothing ...
	return 0L;
	}
	};
	// For each store name ...
	for (String storeName : storeNames) {
	String topicName = storeName;
	// Set up the restore-state topic ...
	// consumer.subscribe(new TopicPartition(topicName, 1));
	// Set up the partition that matches the ID (which is what ProcessorStateManager expects) ...
	List<PartitionInfo> partitionInfos = new ArrayList<>();
	- partitionInfos.add(new PartitionInfo(topicName, id, null, null, null));
	+ partitionInfos.add(new PartitionInfo(topicName, id.partition, null, null, null));
	consumer.updatePartitions(topicName, partitionInfos);
	- consumer.updateEndOffsets(Collections.singletonMap(new TopicPartition(topicName, id), 0L));
	+ consumer.updateEndOffsets(Collections.singletonMap(new TopicPartition(topicName, id.partition), 0L));
	}
	return consumer;
	}
	-}
	\ No newline at end of file
	+}

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