Status
Current state: Under Discussion Adopted (1.0)
Discussion thread: [DISCUS] KIP-182: Reduce Streams DSL overloads and allow easier use of custom storage engineshere [Change the link from the KIP proposal email archive to your own email thread]
JIRA: KAFKA-5651
Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).
Motivation
As the Kafka Streams DSL has evolved, some of the APIs have become very overload heavy. For example, we have 8 different overloads for KStream#print. As we add more overloads it becomes harder for a developer using a modern IDE to discover the interfaces hence interrupting the flow and becoming an API usability issue.
...
Before we go and add many more overloaded methods it is worth while exploring other options to see if we can provide a more concise and intuitive API.
Public Interfaces
New methods added to existing interfaces:
Code Block |
---|
|
void print(final Printed<K, V> printed);
KStream<K, V> through(final String topic, final Partitioned<KProduced<K, V> partitioned);
void to(final String topic, final Partitioned<VProduced<V, V> partitioned);
KGroupedStream<K, V> groupByKey(final Serialized<K, V> serialized);
<KR> KGroupedStream<KR, V> groupBy(final KeyValueMapper<? super K, ? super V, KR> selector, Serialized<KR, V> serialized);
<VO, VR> KStream<K, VR> join(final KStream<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final JoinWindows windows, final Joined<K, V, VO> options);
<VT, VR> KStream<K, VR> join(final KTable<K, VT> other, final ValueJoiner<? super V, ? super VT, ? extends VR> joiner, final Joined<K, V, VT> options);
<VO, VR> KStream<K, VR> leftJoin(final KStream<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final JoinWindows windows, final Joined<K, V, VO> options);
<VT, VR> KStream<K, VR> leftJoin(final KTable<K, VT> other, final ValueJoiner<? super V, ? super VT, ? extends VR> joiner, final JoinWindows windows, final Joined<K, V, VT> options);
<VO, VR> KStream<K, VR> outerJoin(final KStream<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final JoinWindows windows, final Joined<K, V, VO> options);
<VT |
Code Block |
---|
|
<KR, VR> KStream<KKGroupedTable<KR, VR> outerJoingroupBy(final KTable<K,KeyValueMapper<? VT>super otherK, final ValueJoiner<? super V, ?KeyValue<KR, superVR>> VTselector, ?Serialized<KR, extends VR> joiner, final JoinWindows windows, final Joined<K, V, VT> options); |
Code Block |
---|
|
<KR, VR> KGroupedTable<KR, VR> groupBy(final KeyValueMapper<serialized);
KTable<K, V> filter(final Predicate<? super K, ? super V> Vpredicate, KeyValue<KRfinal Materialized<K, VR>> selectorV, Serialized<KRKeyValueStore<Bytes, VR> serializedbyte[]>> materialized);
KTable<K, V> filterfilterNot(final Predicate<? super K, ? super V> predicate, final Materialized<K, V, KeyValueStore<KKeyValueStore<Bytes[], V>>byte[]>> materialized);
<VR> KTable<K, V>VR> filterNotmapValues(final Predicate<ValueMapper<? super KV, ? superextends V>VR> predicatemapper, final Materialized<K, V, KeyValueStore<KKeyValueStore<Bytes[], V>>byte[]>> materialized);
<VR><VO, VR> KTable<K, VR> mapValuesjoin(final ValueMapper<?KTable<K, superVO> Vother,
? extends VR> mapper, final Materialized<K, V, KeyValueStore<K, V>> materialized);
void to(final String topic, final Partitioned<V, V> options);
KTable<K, V> through(final String topic, final Materialized<K, V> options);
<VO, VR> KTable<K, VR> join(final KTable<K, VO> other,
final ValueJoiner<? super V, ? super VO, ? extends VR> joiner,
final Materialized<K, VR, KeyValueStore<KKeyValueStore<Bytes, VR>>byte[]>> materialized);
<VO, VR> KTable<K, VR> leftJoin(final KTable<K, VO> other,
final ValueJoiner<? super V, ? super VO, ? extends VR> joiner,
final Materialized<K, VR, KeyValueStore<KKeyValueStore<Bytes, VR>>byte[]>> materialized);
<VO, VR> KTable<K, VR> outerJoin(final KTable<K, VO> other,
final ValueJoiner<? super V, ? super VO, ? extends VR> joiner,
final Materialized<K, VR, KeyValueStore<KKeyValueStore<Bytes, VR>> byte[]>> materialized);
|
We add some new helper methods to Stores so people can conveniently and quickly create basic StateStoreSuppliers for use in the DSL or PAPI. We will also deprecate the existing Stores.create(...)
Code Block |
---|
|
public static <K, V> StateStoreSupplier<KeyValueStore<K,KeyValueBytesStoreSupplier V>> persistentKeyValueStore(final String name,)
public static <K, V> KeyValueBytesStoreSupplier inMemoryKeyValueStore(final String name)
public static <K, V> KeyValueBytesStoreSupplier lruMap(final String name)
public static <K, V> WindowBytesStoreSupplier persistentWindowStore(final String name,
final final Serde<K> keySerde,
long retentionPeriod,
final int numSegments,
final long windowSize,
final boolean retainDuplicates)
public static <K, V> SessionBytesStoreSupplier persistentSessionStore(final String name, final long retentionPeriod)
/**
* The following methods are for use with the PAPI. They allow building of StateStores that can be wrapped with
* caching, logging, and any other convenient wrappers provided by the KafkaStreams library
*/
public <K, V> StateStoreBuilder<WindowStore<K, V>> windowStoreBuilder(final WindowBytesStoreSupplier supplier,
final Serde<K> keySerde,
final Serde<V> valueSerde)
public <K, V> StateStoreBuilder<KeyValueStore<K, V>> keyValueStoreBuilder(final KeyValueBytesStoreSupplier supplier,
final Serde<K> keySerde,
final Serde<V> valueSerde)
public <K, V> StateStoreBuilder<SessionStore<K, V>> sessionStoreBuilder(final SessionBytesStoreSupplier supplier,
final Serde<K> keySerde,
final Serde<V> valueSerde) |
Code Block |
---|
language | java |
---|
title | Topology |
---|
|
public synchronized <K, V> Topology addGlobalStore(final StateStoreBuilder storeSupplier,
final Serde<V> valueSerde)
public static <K, V> StateStoreSupplier<KeyValueStore<K, V>> inMemoryKeyValueStore(final String name,
final String sourceName,
final Serde<K> keySerde,
final TimestampExtractor timestampExtractor,
final Deserializer keyDeserializer,
final Serde<V> valueSerde)
public static <K, V> StateStoreSupplier<KeyValueStore<K, V>> lruMap(final String name,
final Deserializer valueDeserializer,
final int capacity,
final String topic,
final Serde<K> keySerde,
final String processorName,
final Serde<V> valueSerde)
public static <K, V> StateStoreSupplier<WindowStore<K, V>> persistentWindowStore(final String name,
final ProcessorSupplier stateUpdateSupplier)
public synchronized final Topology addStateStore(final StateStoreBuilder supplier, final String... processorNames)
|
Code Block |
---|
language | java |
---|
title | KGroupedStream |
---|
|
<W extends Window> TimeWindowedKStream<K, V> windowedBy(Windows<W> timeWindows);
SessionWindowedKStream<K, V> windowedBy(SessionWindows sessionWindows);
KTable<K, Long> count(final Materialized<K, Long> materialized);
KTable<K, V> reduce(final Reducer<V> reducer, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);
<VR> KTable<K, VR> aggregate(final Initializer<VR> initializer,
final Windows windows,
final Aggregator<? super K, ? super V, VR> aggregator,
final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized); |
Code Block |
---|
language | java |
---|
title | KGroupedTable |
---|
|
KTable<K, Long> count(final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);
KTable<K, V> reduce(final Reducer<V> adder, final Reducer<V> subtractor, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);
<VR> KTable<K, VR> aggregate(final Initializer<VR> initializer,
final Serde<K> keySerde,
final Aggregator<? super K, ? super V, VR> aggregator,
final Serde<V> valueSerde)
public static <K, V> StateStoreSupplier<SessionStore<K, V>> persistentSessionStore(final String nameAggregator<? super K, ? super V, VR> subtractor,
final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized); |
For StreamsBuilder we remove all stream, table, and globalTable overloads that take more than a single argument and replace them with:
Code Block |
---|
language | java |
---|
title | StreamsBuilder |
---|
|
public synchronized <K, V> KStream<K, V> stream(final String topic)
public synchronized <K, V> KStream<K, V> stream(final String topic, final Consumed<K, V> options)
public synchronized <K, V> KStream<K, V> stream(final Collection<String> topic, final Consumed<K, V> options)
public synchronized <K, V> KStream<K, V> stream(final Collection<String> topic)
public synchronized <K, V> KStream<K, V> stream(final Pattern pattern, final Consumed<K, V> options)
public synchronized <K, V> KTable<K, V> table(final String topic, final Consumed<K, V> consumed)
public synchronized <K, V> KTable<K, V> table(final String topic, final Consumed<K, V> consumed, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized)
public synchronized <K, V> KTable<K, V> table(final String topic, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized)
public synchronized <K, V> GlobalKTable<K, V> globalTable(final String topic, final Consumed<K, V> consumed)
public synchronized <K, V> GlobalKTable<K, V> globalTable(final String topic, final Consumed<K, V> consumed, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized)
public synchronized <K, V> GlobalKTable<K, V> globalTable(final String topic, final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized) |
New classes and interfaces:
Code Block |
---|
language | java |
---|
title | WindowedKStream |
---|
|
public interface TimeWindowedKStream<K, V> {
KTable<Windowed<K>, Long> count();
KTable<Windowed<K>, Long> count(final Materialized<K, Long, WindowStore<Bytes, byte[]>> materializedAs);
<VR> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final SessionWindows windows,
final Serde<K> keySerde,
final Serde<V> valueSerde)
/**
* The following methods are for use with the PAPI. They allow building of StateStores that can be wrapped with
* caching, logging, and any other convenient wrappers provided by the KafkaStreams library
*/
public <K, V> StateStoreBuilder<WindowStore<K, V>> windowStoreBuilder(final StateStoreSupplier<WindowStore<K, V>> supplier)
public <K, V> StateStoreBuilder<KeyValueStore<K, V>> keyValueStoreBuilder(final StateStoreSupplier<KeyValueStore<K, V>> supplier)
public <K, V> StateStoreBuilder<SessionStore<K, V>> sessionStoreBuilder(final StateStoreSupplier<SessionStore<K, V>> supplier) |
Code Block |
---|
language | java |
---|
title | TopologyBuilder |
---|
|
public synchronized <K, V> TopologyBuilder addGlobalStore(final StateStoreBuilder storeSupplier,
final Aggregator<? super K, ? super V, VR> aggregator);
<VR> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super V, VR> aggregator,
final String sourceName,
final Materialized<K, VR, WindowStore<Bytes, byte[]>> materializedAs);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer,
final TimestampExtractor timestampExtractor,
final Materialized<K, V, WindowStore<Bytes, byte[]>> materializedAs);
} |
Code Block |
---|
language | java |
---|
title | SessionWindowedKStream |
---|
|
public interface SessionWindowedKStream<K, V> {
KTable<Windowed<K>, Long> count();
KTable<Windowed<K>, Long> count(final Materialized<K, Long, SessionStore<Bytes, byte[]>> materializedAs);
<VR, T> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Deserializer keyDeserializer,
final Aggregator<? super K, ? super V, VR> aggregator,
final Deserializer valueDeserializer,
final Merger<? super K, T> sessionMerger);
<VR, T> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final String topic,
final Aggregator<? super K, ? super V, VR> aggregator,
final String processorName,
final Merger<? super K, T> sessionMerger,
final ProcessorSupplier stateUpdateSupplier)
public synchronized final TopologyBuilder addStateStore(final StateStoreBuilderMaterialized<K, supplierVR, final String... processorNames)
|
Code Block |
---|
language | java |
---|
title | KGroupedStream |
---|
|
<W extends Window> WindowedKStream<KSessionStore<Bytes, byte[]>> materializedAs);
KTable<Windowed<K>, V> windowedByreduce(Windows<W> timeWindows);
SessionWindowedKStream<K, V> sessionWindowedBy(SessionWindows sessionWindowsfinal Reducer<V> reducer);
KTable<K, Long> count(final Materialized<K, Long> materialized);
KTable<K KTable<Windowed<K>, V> reduce(final Reducer<V> reducer, final Materialized<K, V, KeyValueStore<K, V>> materialized);
<VR> KTable<K, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super Materialized<K, V, VR> aggregatorSessionStore<Bytes,
final Serde<VR> aggValueSerde,
final Materialized<K, VR, KeyValueStore<K, VR>> materialized); |
Code Block |
---|
language | java |
---|
title | KGroupedTable |
---|
|
byte[]>> materializedAs);
} |
Code Block |
---|
language | java |
---|
title | Materialized |
---|
|
/**
* Used when materializing a state store, i.e, during an aggregation operation or KTable operations
*/
public class Materialized<K, V, S extends StateStore> {
public static <K, V, S extends StateStore> Materialized<K, V, S> as(final String storeName)
public static <K, V> Materialized<K, V, WindowStore<Bytes, byte[]>> as(final WindowBytesStoreSupplier supplier);
public static <K, V> Materialized<K, V, SessionStore<Bytes, byte[]>> as(final SessionBytesStoreSupplier supplier);
public static <K, V>KTable<K, Long> count(final Materialized<K, V, KeyValueStore<K, V>> materialized);
KTable<K, V> reduce(final Reducer<V> adder, final Reducer<V> subtractor, final Materialized<K, V, KeyValueStore<KKeyValueStore<Bytes, V>> materialized);
<VR> KTable<K, VR> aggregate(final Initializer<VR> initializer,byte[]>> as(final KeyValueBytesStoreSupplier supplier)
public Materialized<K, V, S> withValueSerde(final Serde<V> valueSerde)
public Materialized<K, V, S> withKeySerde(final Serde<K> valueSerde)
public Materialized<K, V, S> withLoggingEnabled(final Map<String, String> topicConfig)
public Materialized<K, V, S> final Aggregator<? super K, ? superwithLoggingDisabled()
public Materialized<K, V, VR> aggregator,S> withCachingEnabled()
public Materialized<K, V, S> withCachingDisabled()
public String storeName();
public StoreSupplier<S> storeSupplier()
public Serde<K> keySerde()
public Serde<V> valueSerde()
public boolean loggingEnabled()
public Map<String, final Aggregator<? super K, ? super V, VR> subtractor,
final Materialized<K, VR, KeyValueStore<K, VR>> materialized); |
New classes and interfaces:
Code Block |
---|
language | java |
---|
title | WindowedKStream |
---|
|
public interface WindowedKStream<K, V> {
KTable<Windowed<K>, Long> count();
KTable<Windowed<K>, Long> count(final Materialized<K, Long, WindowStore<K, Long>> materializedAs);
<VR> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super V, VR> aggregator);
<VR> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super V, VR> aggregator,
final Materialized<K, VR, WindowStore<K, VR>> materializedAs);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer,
final Materialized<K, V, WindowStore<K, V>> materializedAs);
} |
String> logConfig()
public boolean cachingEnabled()
} |
Code Block |
---|
language | java |
---|
title | Serialized |
---|
|
/**
* Optional params that can be passed to groupBy and groupByKey operations
*/
public class Serialized<K, V> {
public static <K, V> Serialized<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde)
public Serialized<K, V> withKeySerde(final Serde<K> keySerde)
public Serialized<K, V> withValueSerde(final Serde valueSerde)
public Serde<K> keySerde()
public Serde<V> valueSerde()
} |
Code Block |
---|
|
/**
* Optional params that can be passed to join, leftJoin, outerJoin operations
*/
public class Joined<K, V, VO> {
public static <K, V, VO> Joined<K, V, VO> with(final Serde<K> keySerde, final Serde <V> valueSerde, final Serde<VO> otherValueSerde)
public static <K, V, VO> Joined<K, V, VO> keySerde(final Serde<K> keySerde)
public static <K, V, VO> Joined<K, V, VO> valueSerde(final Serde<V> valueSerde)
public static <K, V, VO> Joined<K, V, VO> otherValueSerde(final Serde<V> valueSerde)
public Joined<K, V, VO> withKeySerde(final Serde<K> keySerde)
public Joined<K, V, VO> withValueSerde(final Serde<V> valueSerde)
public Joined<K, V, VO> withOtherValueSerde(final Serde<VO> otherValueSerde)
public Serde<K> keySerde()
public Serde<V> valueSerde()
public Serde<VO> otherValueSerde()
} |
Code Block |
---|
language | java |
---|
title | Produced |
---|
|
/**
* Optional arguments that can be specified when doing to and through operations
*/
public static <K, V> Produced<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde)
public static <K, V> Produced<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde, final StreamPartitioner<K, V> partitioner)
public static <K, V> Produced<K, V> keySerde(final Serde<K> keySerde)
public static <K, V> Produced<K, V> valueSerde(final Serde<V> valueSerde)
public static <K, V> Produced<K, V> streamPartitioner(final StreamPartitioner<K, V> partitioner)
public Produced<K, V> withStreamPartitioner(final StreamPartitioner<K, V> partitioner)
public Produced<K, V> withValueSerde(final Serde<V> valueSerde)
public Produced<K, V> withKeySerde(final Serde<K> keySerde)
public Serde<K> keySerde()
public Serde<K> valueSerde()
public StreamPartitioner<K, V> streamPartitioner() |
Code Block |
---|
|
/**
* options that can be used when printing to stdout our writing to a file
*/
public class Printed<K, V> {
public static <K, V> Printed<K, V> toFile(final String filepath)
public static <K, V> Printed<K, V> toSysOut()
public Printed<K, V> withLabel(final String label)
public Printed<K, V> withKeyValueMapper(final KeyValueMapper< |
Code Block |
---|
language | java |
---|
title | SessionWindowedKStream |
---|
|
public interface SessionWindowedKStream<K, V> {
KTable<Windowed<K>, Long> count();
KTable<Windowed<K>, Long> count(final Materialized<K, Long, SessionStore<K, Long>> materializedAs);
<VR, T> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super V, VR> aggregator,String> mapper)
public ProcessorSupplier<K, V> build(final String processorName)
}
|
Code Block |
---|
language | java |
---|
title | Consumed |
---|
|
/**
* Options for consuming a topic as a KStream or KTable
*/
public class Consumed<K, V> {
public static <K, V> Consumed<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde, final TimestampExtractor extractor, final Merger<? super K, T> sessionMerger);
<VR, T> KTable<Windowed<K>, VR> aggregate(final Initializer<VR> initializer,
final Aggregator<? super K, ? super V, VR> aggregator,
final Merger<? super K, T> sessionMerger,
final Materialized<K, VR, SessionStore<K, VR>> materializedAs);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer);
KTable<Windowed<K>, V> reduce(final Reducer<V> reducer,
final Materialized<K, V, SessionStore<K, V>> materializedAs);
} |
Code Block |
---|
language | java |
---|
title | Materialized |
---|
|
/**
* Used when materializing a state store
*/
public class Materialized<K, V, S extends StateStore> {
public static <K, V, S extends StateStore> Materialized<K, V, S> as(final String storeName)
public static <K, V, S extends StateStore> Materialized<K, V, S> as(final StateStoreSupplier<S> supplier)
public Materialized<K, V, S> withValueSerde(final Serde<V> valueSerde)
public Materialized<K, V, S> withKeySerde(final Serde<K> valueSerde)
public Materialized<K, V, S> withLoggingEnabled(final Map<String, String> topicConfig)
public Materialized<K, V, S> withLoggingDisabled()
public Materialized<K, V, S> withCachingEnabled()
public Materialized<K, V, S> withCachingDisabled()
} |
Code Block |
---|
language | java |
---|
title | Serialized |
---|
|
/**
* Optional params that can be passed to groupBy and groupByKey operations
*/
public class Serialized<K, V> {
public static <K, V> Serialized<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde)
public static <K, V> Serialized<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde, final Serde<V> otherValueSerde)
public Serialized<K, V> withKeySerde(final Serde<K> keySerde)
public Serialized<K, V> withValueSerde(final Serde valueSerde)
} |
Code Block |
---|
|
/**
* Optional params that can be passed to join, leftJoin, outerJoin operations
*/
public class Joined<K, V, VO> {
public static <K, V, VO> Joined<K, V, VO> with(final Serde<K> keySerde, final Serde <V> valueSerde, final Serde<VO> otherValueSerde)
public static <K, V, VO> Joined<K, V, VO> keySerde(final Serde<K> keySerde)
public static <K, V, VO> Joined<K, V, VO> valueSerde(final Serde<V> valueSerde)
public static <K, V, VO> Joined<K, V, VO> otherValueSerde(final Serde<V> valueSerde)
public Joined<K, V, VO> withKeySerde(final Serde<K> keySerde)
public Joined<K, V, VO> withValueSerde(final Serde<V> valueSerde)
public Joined<K, V, VO> withOtherValueSerde(final Serde<VO> otherValueSerde)
} |
Code Block |
---|
language | java |
---|
title | Partitioned |
---|
|
/**
* Optional arguments that can be specified when doing to and through operations
*/
public static <K, V> Partitioned<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde)
public static <K, V> Partitioned<K, V> with(final StreamPartitioner<K, V> partitioner, final Serde<K> keySerde, final Serde<V> valueSerde)
public static <K, V> Partitioned<K, V> keySerde(final Serde<K> keySerde)
public static <K, V> Partitioned<K, V> valueSerde(final Serde<V> valueSerde)
public static <K, V> Partitioned<K, V> streamPartitioner(final StreamPartitioner<K, V> partitioner)
public Partitioned<K, V> withStreamPartitioner(final StreamPartitioner<K, V> partitioner)
public Partitioned<K, V> withValueSerde(final Serde<V> valueSerde)
public Partitioned<K, V> withKeySerde(final Serde<K> keySerde) |
Code Block |
---|
|
/**
* options that can be used when printing to stdout our writing to a file
*/
public class Printed<K, V> {
public static <K, V> Printed<K, V> toFile(final String filepath)
public static <K, V> Printed<K, V> toSysOut()
public Printed<K, V> withLabel(final String label)
private Printed<K, V> withFile(final String filepath)
public Printed<K, V> withKeySerde(final Serde<K> keySerde)
public Printed<K, V> withValueSerde(final Serde<V> keySerde)
public Printed<K, V> withKeyValueMapper(final KeyValueMapper<? super K, ? super V, String> mapper)
}
|
Code Block |
---|
/**
* Implementations of this will provide the ability to wrap a given StateStore
* with or without caching/loggging etc.
*/
public interface StateStoreBuilder<T extends StateStore> {
StateStoreBuilder<T> withCachingEnabled();
StateStoreBuilder<T> withLoggingEnabled(Map<String, String> config);
T build();
} |
Proposed Changes
Topology.AutoOffsetReset resetPolicy)
public static <K, V> Consumed<K, V> with(final Serde<K> keySerde, final Serde<V> valueSerde)
public static <K, V> Consumed<K, V> with(final TimestampExtractor extractor)
public static <K, V> Consumed<K, V> with(final Topology.AutoOffsetReset resetPolicy)
public Consumed<K, V> withKeySerde(final Serde<K> keySerde)
public Consumed<K, V> withValueSerde(final Serde<V> valueSerde)
public Consumed<K, V> withTimestampExtractor(final TimestampExtractor timestampExtractor)
public Consumed<K, V> withOffsetResetPolicy(final Topology.AutoOffsetReset resetPolicy)
public Serde<K> keySerde()
public Serde<V> valueSerde()
public TimestampExtractor timestampExtractor()
public Toploogy.AutoOffsetReset offsetResetPolicy()
} |
Code Block |
---|
language | java |
---|
title | StateStoreBuilder |
---|
|
/**
* Implementations of this will provide the ability to wrap a given StateStore
* with or without caching/loggging etc.
*/
public interface StoreBuilder<T extends StateStore> {
StoreBuilder<T> withCachingEnabled();
StoreBuilder<T> withLoggingEnabled(Map<String, String> config);
StoreBuilder<T> withLoggingDisabled()
T build();
Map<String, String> logConfig();
boolean loggingEnabled();
} |
Code Block |
---|
language | java |
---|
title | StoreSupplier |
---|
|
public interface StoreSupplier<T extends StateStore> {
/**
* Return the name of this state store supplier.
* This must be a valid Kafka topic name; valid characters are ASCII alphanumerics, '.', '_' and '-'
*
* @return the name of this state store supplier
*/
String name();
/**
* Return a new {@link StateStore} instance.
*
* @return a new {@link StateStore} instance of type T
*/
T get();
/**
* Return a String that is used as the scope for metrics recorded by Metered stores
* @return metricsScope
*/
String metricsScope();
} |
Code Block |
---|
language | java |
---|
title | WindowBytesStoreSupplier |
---|
|
/**
* A store supplier that can be used to create one or more {@link WindowStore} instances of type <Byte, byte[]>
*/
public interface WindowBytesStoreSupplier extends StoreSupplier<WindowStore<Bytes, byte[]>> {
/**
* The number of segments the store has. If your store is segmented then this should be the number of segments
* in the underlying store. It is also used to reduce the amount of data that is scanned when caching is enabled
*
* @return number of segments
*/
int segments();
/**
* The size of the windows any store created from this supplier is creating
* @return window size
*/
long windowSize();
/**
* Whether or not this store is retaining duplicate keys. Usually only true if the store is being used
* for joins. Note this should return false if caching is enabled
* @return true if duplicates should be retained
*/
boolean retainDuplicates();
/**
* The time period for which the {@link WindowStore} will retain historic data
* @return retentionPeriod
*/
long retentionPeriod();
} |
Code Block |
---|
language | java |
---|
title | KeyValueBytesStoreSupplier |
---|
|
/**
* A store supplier that can be used to create one or more {@link KeyValueStore} instances of type <Byte, byte[]>
*/
public interface KeyValueBytesStoreSupplier extends StoreSupplier<KeyValueStore<Bytes, byte[]>> {
} |
Code Block |
---|
/**
* A store supplier that can be used to create one or more {@link SessionStore} instances of type <Byte, byte[]>
*/
public interface SessionBytesStoreSupplier extends StoreSupplier<SessionStore<Bytes, byte[]>> {
/**
* The size of a segment, in milliseconds. Used when caching is enabled to segment the cache
* and reduce the amount of data that needs to be scanned when performing range queries
*
* @return segmentInterval in milliseconds
*/
long segmentIntervalMs();
} |
Proposed Changes
Add the above methods, interfaces, classes to the DSL. Deprecate existing overloads on KStream, KTable, and KGroupedStream that take more than the required parameters, for example, KTable#filter(Predicate, String) and KTable#filter(Predicate, StateStoreSupplier) will be deprecated. StateStoreSupplier will also be deprecated. All versions of KTable#through and KTable#to will be deprecated in favour of using KTable#toStream()#through and KTable#toStream()#to
The new Interface BytesStoreSupplier supersedes the existing StateStoreSupplier (which will remain untouched). This so we can provide a convenient way for users creating custom state stores to wrap them with caching/logging etc if they chose. In order to do this we need to force the inner most store, i.e, the custom store, to be a store of type `<Bytes, byte[]>`. Add the above methods, interfaces, classes to the DSL. Deprecate the existing overloads.
Compatibility, Deprecation, and Migration Plan
- What impact (if any) will there be on existing users?
- None - we will deprecate the existing methods so that existing users can continue until they decide to change
Rejected Alternatives
- Using a more fluent api: this approach always results in intermediate stages that require a final build or apply call to create the underlying KStream/KTable etc. We felt that this wasn't quite right.
- Builder for all a params: Rather than specifying the required params and optional params separately we could make each method take a Builder that has all of the params. It was felt that this is a but onerous for users that just want to use the required params and don't care about the options