Package org.apache.kafka.streams

Class KafkaStreams

java.lang.Object

org.apache.kafka.streams.KafkaStreams

@Evolving
public class KafkaStreams
extends java.lang.Object

A Kafka client that allows for performing continuous computation on input coming from one or more input topics and sends output to zero, one, or more output topics.

The computational logic can be specified either by using the Topology to define a DAG topology of Processors or by using the StreamsBuilder which provides the high-level DSL to define transformations.

One KafkaStreams instance can contain one or more threads specified in the configs for the processing work.

A KafkaStreams instance can co-ordinate with any other instances with the same application ID (whether in the same process, on other processes on this machine, or on remote machines) as a single (possibly distributed) stream processing application. These instances will divide up the work based on the assignment of the input topic partitions so that all partitions are being consumed. If instances are added or fail, all (remaining) instances will rebalance the partition assignment among themselves to balance processing load and ensure that all input topic partitions are processed.

Internally a KafkaStreams instance contains a normal KafkaProducer and KafkaConsumer instance that is used for reading input and writing output.

A simple example might look like this:

 Map<String, Object> props = new HashMap<>();
 props.put(StreamsConfig.APPLICATION_ID_CONFIG, "my-stream-processing-application");
 props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
 props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
 props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
 StreamsConfig config = new StreamsConfig(props);

 StreamsBuilder builder = new StreamsBuilder();
 builder.<String, String>stream("my-input-topic").mapValues(value -> value.length().toString()).to("my-output-topic");

 KafkaStreams streams = new KafkaStreams(builder.build(), config);
 streams.start();
 

See Also:

StreamsBuilder, Topology

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	KafkaStreams.State	Kafka Streams states are the possible state that a Kafka Streams instance can be in.
static interface	KafkaStreams.StateListener	Listen to KafkaStreams.State change events.

Constructor Summary

Constructors

Constructor	Description
KafkaStreams(TopologyBuilder builder, java.util.Properties props)	Deprecated. use KafkaStreams(Topology, Properties) instead
KafkaStreams(TopologyBuilder builder, StreamsConfig config)	Deprecated. use KafkaStreams(Topology, StreamsConfig) instead
KafkaStreams(TopologyBuilder builder, StreamsConfig config, KafkaClientSupplier clientSupplier)	Deprecated. use KafkaStreams(Topology, StreamsConfig, KafkaClientSupplier) instead
KafkaStreams(Topology topology, java.util.Properties props)	Create a KafkaStreams instance.
KafkaStreams(Topology topology, StreamsConfig config)	Create a KafkaStreams instance.
KafkaStreams(Topology topology, StreamsConfig config, org.apache.kafka.common.utils.Time time)	Create a KafkaStreams instance.
KafkaStreams(Topology topology, StreamsConfig config, KafkaClientSupplier clientSupplier)	Create a KafkaStreams instance.

Method Summary

Modifier and Type	Method	Description
java.util.Collection<StreamsMetadata>	allMetadata()	Find all currently running KafkaStreams instances (potentially remotely) that use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application) and return StreamsMetadata for each discovered instance.
java.util.Collection<StreamsMetadata>	allMetadataForStore(java.lang.String storeName)	Find all currently running KafkaStreams instances (potentially remotely) that use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application) and that contain a StateStore with the given storeName and return StreamsMetadata for each discovered instance.
void	cleanUp()	Do a clean up of the local StateStore directory (StreamsConfig.STATE_DIR_CONFIG) by deleting all data with regard to the application ID.
void	close()	Shutdown this KafkaStreams instance by signaling all the threads to stop, and then wait for them to join.
boolean	close(long timeout, java.util.concurrent.TimeUnit timeUnit)	Shutdown this KafkaStreams by signaling all the threads to stop, and then wait up to the timeout for the threads to join.
java.util.Set<ThreadMetadata>	localThreadsMetadata()	Returns runtime information about the local threads of this KafkaStreams instance.
<K> StreamsMetadata	metadataForKey(java.lang.String storeName, K key, Serializer<K> keySerializer)	Find the currently running KafkaStreams instance (potentially remotely) that use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application) and that contain a StateStore with the given storeName and the StateStore contains the given key and return StreamsMetadata for it.
<K> StreamsMetadata	metadataForKey(java.lang.String storeName, K key, StreamPartitioner<? super K,?> partitioner)	Find the currently running KafkaStreams instance (potentially remotely) that use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application) and that contain a StateStore with the given storeName and the StateStore contains the given key and return StreamsMetadata for it.
java.util.Map<MetricName,? extends Metric>	metrics()	Get read-only handle on global metrics registry.
void	setGlobalStateRestoreListener(StateRestoreListener globalStateRestoreListener)	Set the listener which is triggered whenever a StateStore is being restored in order to resume processing.
void	setStateListener(KafkaStreams.StateListener listener)	An app can set a single KafkaStreams.StateListener so that the app is notified when state changes.
void	setUncaughtExceptionHandler(java.lang.Thread.UncaughtExceptionHandler eh)	Set the handler invoked when a internal thread abruptly terminates due to an uncaught exception.
void	start()	Start the KafkaStreams instance by starting all its threads.
KafkaStreams.State	state()	Return the current KafkaStreams.State of this KafkaStreams instance.
<T> T	store(java.lang.String storeName, QueryableStoreType<T> queryableStoreType)	Get a facade wrapping the local StateStore instances with the provided storeName if the Store's type is accepted by the provided queryableStoreType.
java.lang.String	toString()	Deprecated. Use localThreadsMetadata() to retrieve runtime information.
java.lang.String	toString(java.lang.String indent)	Deprecated. Use localThreadsMetadata() to retrieve runtime information.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

KafkaStreams

@Deprecated
public KafkaStreams(TopologyBuilder builder,
                    java.util.Properties props)

Deprecated. use KafkaStreams(Topology, Properties) instead

KafkaStreams

@Deprecated
public KafkaStreams(TopologyBuilder builder,
                    StreamsConfig config)

Deprecated. use KafkaStreams(Topology, StreamsConfig) instead

KafkaStreams

@Deprecated
public KafkaStreams(TopologyBuilder builder,
                    StreamsConfig config,
                    KafkaClientSupplier clientSupplier)

Deprecated. use KafkaStreams(Topology, StreamsConfig, KafkaClientSupplier) instead

KafkaStreams

public KafkaStreams(Topology topology,
                    java.util.Properties props)

Create a KafkaStreams instance.

Note: even if you never call start() on a KafkaStreams instance, you still must close() it to avoid resource leaks.

Parameters:

topology - the topology specifying the computational logic

props - properties for StreamsConfig

Throws:

StreamsException - if any fatal error occurs

KafkaStreams

public KafkaStreams(Topology topology,
                    StreamsConfig config)

Create a KafkaStreams instance.

Note: even if you never call start() on a KafkaStreams instance, you still must close() it to avoid resource leaks.

Parameters:

topology - the topology specifying the computational logic

config - the Kafka Streams configuration

Throws:

StreamsException - if any fatal error occurs

KafkaStreams

public KafkaStreams(Topology topology,
                    StreamsConfig config,
                    KafkaClientSupplier clientSupplier)

Create a KafkaStreams instance.

Note: even if you never call start() on a KafkaStreams instance, you still must close() it to avoid resource leaks.

Parameters:

topology - the topology specifying the computational logic

config - the Kafka Streams configuration

clientSupplier - the Kafka clients supplier which provides underlying producer and consumer clients for the new KafkaStreams instance

Throws:

StreamsException - if any fatal error occurs

KafkaStreams

public KafkaStreams(Topology topology,
                    StreamsConfig config,
                    org.apache.kafka.common.utils.Time time)

Create a KafkaStreams instance.

Parameters:

topology - the topology specifying the computational logic

config - the Kafka Streams configuration

time - Time implementation; cannot be null

Throws:

StreamsException - if any fatal error occurs

Method Detail

state

public KafkaStreams.State state()

Return the current KafkaStreams.State of this KafkaStreams instance.

Returns:

the current state of this Kafka Streams instance

setStateListener

public void setStateListener(KafkaStreams.StateListener listener)

An app can set a single KafkaStreams.StateListener so that the app is notified when state changes.

Parameters:

listener - a new state listener

Throws:

java.lang.IllegalStateException - if this KafkaStreams instance is not in state CREATED.

setUncaughtExceptionHandler

public void setUncaughtExceptionHandler(java.lang.Thread.UncaughtExceptionHandler eh)

Set the handler invoked when a internal thread abruptly terminates due to an uncaught exception.

Parameters:

eh - the uncaught exception handler for all internal threads; null deletes the current handler

Throws:

java.lang.IllegalStateException - if this KafkaStreams instance is not in state CREATED.

setGlobalStateRestoreListener

public void setGlobalStateRestoreListener(StateRestoreListener globalStateRestoreListener)

Set the listener which is triggered whenever a StateStore is being restored in order to resume processing.

Parameters:

globalStateRestoreListener - The listener triggered when StateStore is being restored.

Throws:

java.lang.IllegalStateException - if this KafkaStreams instance is not in state CREATED.

metrics

public java.util.Map<MetricName,? extends Metric> metrics()

Get read-only handle on global metrics registry.

Returns:

Map of all metrics.

start

public void start()
           throws java.lang.IllegalStateException,
                  StreamsException

Start the KafkaStreams instance by starting all its threads. This function is expected to be called only once during the life cycle of the client.

Because threads are started in the background, this method does not block. As a consequence, any fatal exception that happens during processing is by default only logged. If you want to be notified about dying threads, you can register an uncaught exception handler before starting the KafkaStreams instance.

Note, for brokers with version 0.9.x or lower, the broker version cannot be checked. There will be no error and the client will hang and retry to verify the broker version until it times out.

Throws:

java.lang.IllegalStateException - if process was already started

StreamsException - if the Kafka brokers have version 0.10.0.x or if exactly-once is enabled for pre 0.11.0.x brokers

close

public void close()

Shutdown this KafkaStreams instance by signaling all the threads to stop, and then wait for them to join. This will block until all threads have stopped.

close

public boolean close(long timeout,
                     java.util.concurrent.TimeUnit timeUnit)

Shutdown this KafkaStreams by signaling all the threads to stop, and then wait up to the timeout for the threads to join. A timeout of 0 means to wait forever.

Parameters:

timeout - how long to wait for the threads to shutdown

timeUnit - unit of time used for timeout

Returns:

true if all threads were successfully stopped—false if the timeout was reached before all threads stopped Note that this method must not be called in the onChange callback of KafkaStreams.StateListener.

toString

@Deprecated
public java.lang.String toString()

Deprecated. Use localThreadsMetadata() to retrieve runtime information.

Produce a string representation containing useful information about this KafkaStream instance such as thread IDs, task IDs, and a representation of the topology DAG including StateStores (cf. Topology and StreamsBuilder).

Overrides:

toString in class java.lang.Object

Returns:

A string representation of the Kafka Streams instance.

toString

@Deprecated
public java.lang.String toString(java.lang.String indent)

Deprecated. Use localThreadsMetadata() to retrieve runtime information.

Produce a string representation containing useful information about this KafkaStream instance such as thread IDs, task IDs, and a representation of the topology DAG including StateStores (cf. Topology and StreamsBuilder).

Parameters:

indent - the top-level indent for each line

Returns:

A string representation of the Kafka Streams instance.

cleanUp

public void cleanUp()

Do a clean up of the local StateStore directory (StreamsConfig.STATE_DIR_CONFIG) by deleting all data with regard to the application ID.

May only be called either before this KafkaStreams instance is started or after the instance is closed.

Calling this method triggers a restore of local StateStores on the next application start.

Throws:

java.lang.IllegalStateException - if this KafkaStreams instance is currently running

StreamsException - if cleanup failed

allMetadata

public java.util.Collection<StreamsMetadata> allMetadata()

Find all currently running KafkaStreams instances (potentially remotely) that use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application) and return StreamsMetadata for each discovered instance.

Note: this is a point in time view and it may change due to partition reassignment.

Returns:

StreamsMetadata for each KafkaStreams instances of this application

allMetadataForStore

public java.util.Collection<StreamsMetadata> allMetadataForStore(java.lang.String storeName)

Find all currently running KafkaStreams instances (potentially remotely) that

• use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application)
• and that contain a StateStore with the given storeName

and return StreamsMetadata for each discovered instance.

Note: this is a point in time view and it may change due to partition reassignment.

Parameters:

storeName - the storeName to find metadata for

Returns:

StreamsMetadata for each KafkaStreams instances with the provide storeName of this application

metadataForKey

public <K> StreamsMetadata metadataForKey(java.lang.String storeName,
                                          K key,
                                          Serializer<K> keySerializer)

Find the currently running KafkaStreams instance (potentially remotely) that

• use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application)
• and that contain a StateStore with the given storeName
• and the StateStore contains the given key

and return StreamsMetadata for it.

This will use the default Kafka Streams partitioner to locate the partition. If a custom partitioner has been configured via StreamsConfig or KStream.through(String, Produced), or if the original KTable's input topic is partitioned differently, please use metadataForKey(String, Object, StreamPartitioner).

Note:

• this is a point in time view and it may change due to partition reassignment
• the key may not exist in the StateStore; this method provides a way of finding which host it would exist on
• if this is for a window store the serializer should be the serializer for the record key, not the window serializer

Type Parameters:

K - key type

Parameters:

storeName - the storeName to find metadata for

key - the key to find metadata for

keySerializer - serializer for the key

Returns:

StreamsMetadata for the KafkaStreams instance with the provide storeName and key of this application or StreamsMetadata.NOT_AVAILABLE if Kafka Streams is (re-)initializing

metadataForKey

public <K> StreamsMetadata metadataForKey(java.lang.String storeName,
                                          K key,
                                          StreamPartitioner<? super K,?> partitioner)

Find the currently running KafkaStreams instance (potentially remotely) that

• use the same application ID as this instance (i.e., all instances that belong to the same Kafka Streams application)
• and that contain a StateStore with the given storeName
• and the StateStore contains the given key

and return StreamsMetadata for it.

Note:

• this is a point in time view and it may change due to partition reassignment
• the key may not exist in the StateStore; this method provides a way of finding which host it would exist on

Type Parameters:

K - key type

Parameters:

storeName - the storeName to find metadata for

key - the key to find metadata for

partitioner - the partitioner to be use to locate the host for the key

Returns:

StreamsMetadata for the KafkaStreams instance with the provide storeName and key of this application or StreamsMetadata.NOT_AVAILABLE if Kafka Streams is (re-)initializing

store

public <T> T store(java.lang.String storeName,
                   QueryableStoreType<T> queryableStoreType)

Get a facade wrapping the local StateStore instances with the provided storeName if the Store's type is accepted by the provided queryableStoreType. The returned object can be used to query the StateStore instances.

Type Parameters:

T - return type

Parameters:

storeName - name of the store to find

queryableStoreType - accept only stores that are accepted by QueryableStoreType.accepts(StateStore)

Returns:

A facade wrapping the local StateStore instances

Throws:

InvalidStateStoreException - if Kafka Streams is (re-)initializing or a store with storeName and queryableStoreType doesnt' exist

localThreadsMetadata

public java.util.Set<ThreadMetadata> localThreadsMetadata()

Returns runtime information about the local threads of this KafkaStreams instance.

Returns:

the set of ThreadMetadata.