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Status
Current state: (DRAFT) "Under Discussion"
Discussion thread: here [Change the link from the KIP proposal email archive to your own email thread]
JIRA: here [Change the link from KAFKA-1 to your own ticket]
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.
Further, we'd like to provide users with a way to override certain StateStore features on a per operator basis, for example, enable caching or logging, for some but not all StateStores. Without a change in approach to the DSL this would add yet more overloads for every operation. Additionally, it should be simple to use the KafkaStreams Caching and Logging wrappers with custom StateStores.
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:
void print(final PrintOptions<K, V> printOptions); KStream<K, V> through(final String topic, final TopicOptions<K, V> topicOptions); void to(final String topic, final TopicOptions<V, V> topicOptions); KGroupedStream<K, V> groupByKey(final GroupByOptions<K, V> groupByOptions); <KR> KGroupedStream<KR, V> groupBy(final KeyValueMapper<? super K, ? super V, KR> selector, GroupByOptions<KR, V> groupByOptions); <VO, VR> KStream<K, VR> join(final KStream<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final JoinWindows windows, final JoinOptions<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 JoinOptions<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 JoinOptions<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 JoinOptions<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 JoinOptions<K, V, VO> options); <VT, VR> KStream<K, VR> outerJoin(final KTable<K, VT> other, final ValueJoiner<? super V, ? super VT, ? extends VR> joiner, final JoinWindows windows, final JoinOptions<K, V, VT> options);
<KR, VR> KGroupedTable<KR, VR> groupBy(final KeyValueMapper<? super K, ? super V, KeyValue<KR, VR>> selector, GroupByOptions<KR, VR> groupByOptions); KTable<K, V> filter(final Predicate<? super K, ? super V> predicate, final Materialized<K, V, KeyValueStore<K, V>> materialized); KTable<K, V> filterNot(final Predicate<? super K, ? super V> predicate, final Materialized<K, V, KeyValueStore<K, V>> materialized); <VR> KTable<K, VR> mapValues(final ValueMapper<? super V, ? extends VR> mapper, final Materialized<K, V, KeyValueStore<K, V>> materialized); void to(final String topic, final TopicOptions<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, V, KeyValueStore<K, VR>> materialized); <VO, VR> KTable<K, VR> leftJoin(final KTable<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final Materialized<K, V, KeyValueStore<K, VR>> materialized); <VO, VR> KTable<K, VR> outerJoin(final KTable<K, VO> other, final ValueJoiner<? super V, ? super VO, ? extends VR> joiner, final Materialized<K, V, KeyValueStore<K, VR>> materialized);
public static <K, V> StateStoreSupplier<KeyValueStore<K, V>> persistentKeyValueStore(final String name, final Serde<K> keySerde, final Serde<V> valueSerde) public static <K, V> StateStoreSupplier<KeyValueStore<K, V>> inMemoryKeyValueStore(final String name, final Serde<K> keySerde, final Serde<V> valueSerde) public static <K, V> StateStoreSupplier<KeyValueStore<K, V>> lruMap(final String name, final int capacity, final Serde<K> keySerde, final Serde<V> valueSerde) public static <K, V> StateStoreSupplier<WindowStore<K, V>> persistentWindowStore(final String name, final Windows windows, final Serde<K> keySerde, final Serde<V> valueSerde) public static <K, V> StateStoreSupplier<SessionStore<K, V>> persistentSessionStore(final String name, final SessionWindows windows, final Serde<K> keySerde, final Serde<V> valueSerde) 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)
public synchronized <K, V> TopologyBuilder addGlobalStore(final StateStoreBuilder storeSupplier, final String sourceName, final TimestampExtractor timestampExtractor, final Deserializer keyDeserializer, final Deserializer valueDeserializer, final String topic, final String processorName, final ProcessorSupplier stateUpdateSupplier) public synchronized final TopologyBuilder addStateStore(final StateStoreBuilder supplier, final String... processorNames)
<W extends Window> WindowedKStream<K, V> windowedBy(Windows<W> timeWindows); SessionWindowedKStream<K, V> sessionWindowedBy(SessionWindows sessionWindows); KTable<K, Long> count(final Materialized materialized); KTable<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 V, VR> aggregator, final Serde<VR> aggValueSerde, final Materialized<K, V, KeyValueStore<K, V>> materialized);
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<K, V>> materialized); <VR> KTable<K, VR> aggregate(final Initializer<VR> initializer, final Aggregator<? super K, ? super V, VR> aggregator, final Aggregator<? super K, ? super V, VR> subtractor, final Materialized<K, V, KeyValueStore<K, V>> materialized);
New classes and interfaces:
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); }
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, 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); }
/** * 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() }
/** * Optional params that can be passed to groupBy and groupByKey operations */ public class GroupByOptions<K, V> { public static <K, V> GroupByOptions<K, V> serdes(final Serde<K> keySerde, final Serde<V> valueSerde) { return new GroupByOptions<>(); } public GroupByOptions<K, V> withKeySerde() public GroupByOptions<K, V> withValueSerde() }
/** * Optional params that can be passed to join, leftJoin, outerJoin operations */ public class JoinOptions<K, V, VO> { public static <K, V, VO> JoinOptions<K, V, VO> serdes(final Serde<K> keySerde, final Serde <V> valueSerde, final Serde<VO> otherValueSerde) public JoinOptions<K, V, VO> withKeySerde(final Serde<K> keySerde) public JoinOptions<K, V, VO> withValueSerde(final Serde<V> valueSerde) public JoinOptions<K, V, VO> withOtherValueSerde(final Serde<VO> otherValueSerde) }
/** * Optional arguments that can be specified when doing to and through operations */ public class TopicOptions<K, V> { public static <K, V> TopicOptions<K, V> serdes(final Serde<K> keySerde, final Serde<V> valueSerde) { return new TopicOptions<K, V>().withKeySerde(keySerde).withValueSerde(valueSerde); } public static <K, V> TopicOptions<K, V> options(final StreamPartitioner<K, V> partitioner, final Serde<K> keySerde, final Serde<V> valueSerde) { return new TopicOptions<K, V>().withKeySerde(keySerde).withValueSerde(valueSerde).withStreamPartitioner(partitioner); } public TopicOptions<K, V> withStreamPartitioner(final StreamPartitioner<K, V> partitioner) { return null; } public TopicOptions<K, V> withValueSerde(final Serde<V> valueSerde) { return null; } public TopicOptions<K, V> withKeySerde(final Serde<K> keySerde) { return null; } }
/** * options that can be used when printing to stdout our writing to a file */ public class PrintOptions<K, V> { public static <K, V> PrintOptions<K, V> labeled(final String label) public static <K, V> PrintOptions<K, V> toFile(final String filepath) public static <K, V> PrintOptions<K, V> sysOut(final KeyValueMapper<? super K, ? super V, String> mapper, final Serde<K> keySerde, final Serde<V> valSerde, final String label) public static <K, V> PrintOptions<K, V> toFile(final String filePath, final KeyValueMapper<? super K, ? super V, String> mapper, final Serde<K> keySerde, final Serde<V> valSerde, final String label) public PrintOptions<K, V> withLabel(final String label) public PrintOptions<K, V> withFile(final String filepath) public PrintOptions<K, V> withKeySerde(final Serde<K> keySerde) public PrintOptions<K, V> withValueSerde(final Serde<V> keySerde) public PrintOptions<K, V> withKeyValueMapper(final KeyValueMapper<? super K, ? super V, String> mapper) }
/** * 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> withCachingDisabled(); StateStoreBuilder<T> withLoggingEnabled(Map<String, String> config); StateStoreBuilder<T> withLoggingDisabled(); T build(); }
Proposed Changes
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