Status

Current state: "Under Discussion"

Discussion thread: here

JIRA:  KAFKA-4125 - Getting issue details... STATUS             KAFKA-4218 - Getting issue details... STATUS KAFKA-4726 - Getting issue details... STATUS  

Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).

Motivation

This KIP combines KIP-149 and provides a hybrid solution to rich functions in Streams and accessing read-only keys within ValueJoiner, ValueTransformer, ValueMapper interfaces. 

 

Rich functions are one of the essential parts of stream processing. There are several use-cases where users cannot express their business logic with current un-rich methods. For example:

  • having access to RecordContext within an operator
  • having access to a read-only key for ValueJoiner, ValueTransformer, ValueMapper interfaces



Rich Interfaces

 

 
public interface RichInitializer<V, K> {
    V apply(K key);
}

public interface RichValueMapper<V, VR, K> {
    VR apply(final V value, final K key, final RecordContext recordContext);
}

public interface RichValueJoiner<V1, V2, VR, K> {
    VR apply(final V1 value1, final V2 value2, final K key, final RecordContext recordContext);
}

public interface RichKeyValueMapper<K, V, VR> {
    VR apply(final K key, final V value, final RecordContext recordContext);
}

public interface RichReducer<V, K> {
    V apply(final V value1, final V value2, final K key, final RecordContext recordContext);
}

public interface RichAggregator<K, V, VA> {
    VA apply(final K key, final V value, final VA aggregate, final RecordContext recordContext);
}
 
public interface RichForeachAction<K, V> {
    void apply(final K key, final V value, final RecordContext recordContext);
}

public interface RichPredicate<K, V> {
    boolean test(final K key, final V value, final RecordContext recordContext);
}

 
public interface RichMerger<K, V> {
	V apply(final K aggKey, final V aggOne, final V aggTwo, final RecordContext recordContext);
}

 
 
public interface RichValueTransformer<V, VR, K> {
	void init(final ProcessorContext context);

	VR transform(final V value, final K key);

	void close();
}


 
public interface RichValueTransformerSupplier<V, VR, K> {

    RichValueTransformer<V, VR, K> get();
}


 

Public Interfaces


KStream

 

KStream<K, V> filter(RichPredicate<? super K, ? super V> predicate);
KStream<K, V> filterNot(RichPredicate<? super K, ? super V> predicate);
<KR> KStream<KR, V> selectKey(RichKeyValueMapper<? super K, ? super V, ? extends KR> mapper);
<KR, VR> KStream<KR, VR> map(RichKeyValueMapper<? super K, ? super V, ? extends KeyValue<? extends KR, ? extends VR>> mapper);
<VR> KStream<K, VR> mapValues(RichValueMapper<? super V, ? extends VR, ? super K> mapper);
<KR, VR> KStream<KR, VR> flatMap(final RichKeyValueMapper<? super K, ? super V, ? extends Iterable<? extends KeyValue<? extends KR, ? extends VR>>> mapper);
 
<VR> KStream<K, VR> flatMapValues(final RichValueMapper<? super V, ? extends Iterable<? extends VR>, ? super K> mapper);



void foreach(final RichForeachAction<? super K, ? super V> action);
KStream<K, V> peek(final RichForeachAction<? super K, ? super V> action);
KStream<K, V>[] branch(final RichPredicate<? super K, ? super V>... predicates);
 
<VR> KStream<K, VR> transformValues(final RichValueTransformerSupplier<? super V, ? extends VR, ? super K> valueTransformerSupplier,
                                    final String... stateStoreNames);
<KR> KGroupedStream<KR, V> groupBy(final RichKeyValueMapper<? super K, ? super V, KR> selector);
<KR> KGroupedStream<KR, V> groupBy(final RichKeyValueMapper<? super K, ? super V, KR> selector,
                                   final Serialized<KR, V> serialized);
 

<VO, VR> KStream<K, VR> join(final KStream<K, VO> otherStream,
                             final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                             final JoinWindows windows);
<VO, VR> KStream<K, VR> join(final KStream<K, VO> otherStream,
                             final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                             final JoinWindows windows,
                             final Joined<K, V, VO> joined);
 

<VO, VR> KStream<K, VR> leftJoin(final KStream<K, VO> otherStream,
                                 final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                                 final JoinWindows windows);
<VO, VR> KStream<K, VR> leftJoin(final KStream<K, VO> otherStream,
                                 final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                                 final JoinWindows windows,
                                 final Joined<K, V, VO> joined);
 

<VO, VR> KStream<K, VR> outerJoin(final KStream<K, VO> otherStream,
                                  final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                                  final JoinWindows windows);
<VO, VR> KStream<K, VR> outerJoin(final KStream<K, VO> otherStream,
                                  final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                                  final JoinWindows windows,
                                  final Joined<K, V, VO> joined);
 

<VT, VR> KStream<K, VR> join(final KTable<K, VT> table,
                             final RichValueJoiner<? super K, ? super V, ? super VT, ? extends VR> joiner);
<VT, VR> KStream<K, VR> join(final KTable<K, VT> table,
                             final RichValueJoiner<? super K, ? super V, ? super VT, ? extends VR> joiner,
                             final Joined<K, V, VT> joined);
 

<VT, VR> KStream<K, VR> leftJoin(final KTable<K, VT> table,
                                 final RichValueJoiner<? super K, ? super V, ? super VT, ? extends VR> joiner);
<VT, VR> KStream<K, VR> leftJoin(final KTable<K, VT> table,
                                 final RichValueJoiner<? super K, ? super V, ? super VT, ? extends VR> joiner,
                                 final Joined<K, V, VT> joined);
 
<GK, GV, RV> KStream<K, RV> join(final GlobalKTable<GK, GV> globalKTable,
                                 final RichKeyValueMapper<? super K, ? super V, ? extends GK> keyValueMapper,
                                 final RichValueJoiner<? super K, ? super V, ? super GV, ? extends RV> joiner);

<GK, GV, RV> KStream<K, RV> leftJoin(final GlobalKTable<GK, GV> globalKTable,
                                     final RichKeyValueMapper<? super K, ? super V, ? extends GK> keyValueMapper,
                                     final RichValueJoiner<? super K, ? super V, ? super GV, ? extends RV> valueJoiner);

 





KTable

 

KTable<K, V> filter(final RichPredicate<? super K, ? super V> predicate);
KTable<K, V> filter(final RichPredicate<? super K, ? super V> predicate,
                    final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);
KTable<K, V> filterNot(final RichPredicate<? super K, ? super V> predicate);
KTable<K, V> filterNot(final RichPredicate<? super K, ? super V> predicate,
                       final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);

<VR> KTable<K, VR> mapValues(final RichValueMapper<? super V, ? extends VR, ? super K> mapper);
<VR> KTable<K, VR> mapValues(final RichValueMapper<? super V, ? extends VR, ? super K> mapper,
                             final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);

<KR> KStream<KR, V> toStream(final RichKeyValueMapper<? super K, ? super V, ? extends KR> mapper);
 

<KR, VR> KGroupedTable<KR, VR> groupBy(final RichKeyValueMapper<? super K, ? super V, KeyValue<KR, VR>> selector);
<KR, VR> KGroupedTable<KR, VR> groupBy(final RichKeyValueMapper<? super K, ? super V, KeyValue<KR, VR>> selector,
                                       final Serialized<KR, VR> serialized);
 

<VO, VR> KTable<K, VR> join(final KTable<K, VO> other,
                            final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner);
<VO, VR> KTable<K, VR> join(final KTable<K, VO> other,
                            final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                            final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);
 

<VO, VR> KTable<K, VR> leftJoin(final KTable<K, VO> other,
                                final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner);
<VO, VR> KTable<K, VR> leftJoin(final KTable<K, VO> other,
                                final ValueJoiner<? super K, ? super V, ? super VO, ? extends VR> joiner,
                                final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);
 

<VO, VR> KTable<K, VR> outerJoin(final KTable<K, VO> other,
                                 final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner);
<VO, VR> KTable<K, VR> outerJoin(final KTable<K, VO> other,
                                 final RichValueJoiner<? super V, ? super VO, ? extends VR, ? super K> joiner,
                                 final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);

 

 

 

 

 

 

 

KGroupedStream

 

 

KTable<K, V> reduce(final RichReducer<V, K> reducer);

KTable<K, V> reduce(final RichReducer<V, K> reducer,
                    final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);

<VR> KTable<K, VR> aggregate(final RichInitializer<VR, K> initializer,
                             final RichAggregator<? super K, ? super V, VR> aggregator,
                             final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);

<VR> KTable<K, VR> aggregate(final RichInitializer<VR, K> initializer,
                             final RichAggregator<? super K, ? super V, VR> aggregator);

 

 

 

SessionWindowedKStream

 

There are 3 rich interfaces in aggregate() methods. So converting all possible combinations to their rich counterparts can cause a lot of overloads. So, I propose to overload one method with all rich interfaces. 

 

<T> KTable<Windowed<K>, T> aggregate(final RichInitializer<T, Windowed<K>> initializer,
                                     final RichAggregator<? super K, ? super V, T> aggregator,
                                     final RichMerger<? super K, T> sessionMerger);
<VR> KTable<Windowed<K>, VR> aggregate(final RichInitializer<VR, Windowed<K>> initializer,
                                       final RichAggregator<? super K, ? super V, VR> aggregator,
                                       final RichMerger<? super K, VR> sessionMerger,
                                       final Materialized<K, VR, SessionStore<Bytes, byte[]>> materialized);

KTable<Windowed<K>, V> reduce(final RichReducer<V, K> reducer);
KTable<Windowed<K>, V> reduce(final RichReducer<V, K> reducer,
                              final Materialized<K, V, SessionStore<Bytes, byte[]>> materializedAs);


,

 

 

 

 

TimeWindowedKStream

  

 
<VR> KTable<Windowed<K>, VR> aggregate(final RichInitializer<VR, K> initializer,
                                       final RichAggregator<? super K, ? super V, VR> aggregator);
<VR> KTable<Windowed<K>, VR> aggregate(final RichInitializer<VR, K> initializer,
                                       final RichAggregator<? super K, ? super V, VR> aggregator,
                                       final Materialized<K, VR, WindowStore<Bytes, byte[]>> materialized);

KTable<Windowed<K>, V> reduce(final RichReducer<V, K> reducer);
KTable<Windowed<K>, V> reduce(final RichReducer<V, K> reducer,
                              final Materialized<K, V, WindowStore<Bytes, byte[]>> materialized);

 

 

 

 

KGroupedTable

  

 
KTable<K, V> reduce(final RichReducer<V, K> adder,
                    final RichReducer<V, K> subtractor,
                    final Materialized<K, V, KeyValueStore<Bytes, byte[]>> materialized);

KTable<K, V> reduce(final RichReducer<V, K> adder,
                    final RichReducer<V, K> subtractor);

<VR> KTable<K, VR> aggregate(final RichInitializer<VR> initializer,
                             final RichAggregator<? super K, ? super V, VR> adder,
                             final RichAggregator<? super K, ? super V, VR> subtractor,
                             final Materialized<K, VR, KeyValueStore<Bytes, byte[]>> materialized);
<VR> KTable<K, VR> aggregate(final RichInitializer<VR> initializer,
                             final RichAggregator<? super K, ? super V, VR> adder,
                             final RichAggregator<? super K, ? super V, VR> subtractor);

 

 

 

 

 

 

Proposed changes

 

 

  • Move RecordContext from  .processor.internals  to  .processor 

 

  • Make record context open to public

Currently we set record context through InternalProcessorContext (StreamTask.updateProcessorContext()) :
// the below code snippet already exists, this is just for background. 
private void updateProcessorContext(final StampedRecord record, final ProcessorNode currNode) {
    processorContext.setRecordContext(new ProcessorRecordContext(record.timestamp, record.offset(), record.partition(), record.topic()));
    processorContext.setCurrentNode(currNode);
}

 

 

 

Sample processor should look like this:

 

class KStreamKTableJoinProcessor<K1, K2, V1, V2, R> extends AbstractProcessor<K1, V1> {

    ...
    private RecordContext recordContext;       // this line is added in this KIP

    ...

    @Override
	public void process(final K1 key, final V1 value) {

    	recordContext = new RecordContext() {               // recordContext initialization is added in this KIP

    		@Override
    		public long offset() {
        		return context().recordContext().offset();
    		}

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

    		@Override
    		public String topic() {
        		return context().recordContext().topic();
    		}

    		@Override
    		public int partition() {
        		return context().recordContext().partition();
    		}
      };

	
 
    if (key != null && value != null) {
        final V2 value2 = valueGetter.get(keyMapper.apply(key, value));
        if (leftJoin || value2 != null) {
            context().forward(key, joiner.apply(value, value2, recordContext));    
        }
    }
}


}

 

Rejected Alternatives

Not yet.


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