Package org.apache.beam.runners.flink
Class FlinkStreamingAggregationsTranslators
java.lang.Object
org.apache.beam.runners.flink.FlinkStreamingAggregationsTranslators
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic class
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic <K,
InputT, AccumT, OutputT>
org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K, OutputT>>> batchCombinePerKey
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, CombineFnBase.GlobalCombineFn<InputT, AccumT, OutputT> combineFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs) static <K,
InputT, AccumT, OutputT>
org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K, OutputT>>> batchCombinePerKeyNoSideInputs
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, CombineFnBase.GlobalCombineFn<InputT, AccumT, OutputT> combineFn) static <K,
InputT>
org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K, Iterable<InputT>>>> batchGroupByKey
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, Iterable<InputT>>>> transform) Creates a two-steps GBK operation.static <K,
InputT, OutputT>
org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K, OutputT>>> buildTwoInputStream
(org.apache.flink.streaming.api.datastream.KeyedStream<WindowedValue<KV<K, InputT>>, FlinkKey> keyedStream, org.apache.flink.streaming.api.datastream.DataStream<RawUnionValue> sideInputStream, String name, WindowDoFnOperator<K, InputT, OutputT> operator, org.apache.flink.api.common.typeinfo.TypeInformation<WindowedValue<KV<K, OutputT>>> outputTypeInfo) static <K,
InputT, AccumT, OutputT>
org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K, OutputT>>> getBatchCombinePerKeyOperator
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PCollection<KV<K, InputT>> input, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs, Coder<WindowedValue<KV<K, AccumT>>> windowedAccumCoder, CombineFnBase.GlobalCombineFn<InputT, AccumT, ?> combineFn, WindowDoFnOperator<K, AccumT, OutputT> finalDoFnOperator, org.apache.flink.api.common.typeinfo.TypeInformation<WindowedValue<KV<K, OutputT>>> outputTypeInfo) static <K,
InputAccumT, OutputAccumT, InputT, OutputT>
WindowDoFnOperator<K, InputAccumT, OutputAccumT> getWindowedAggregateDoFnOperator
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, KvCoder<K, InputAccumT> inputKvCoder, Coder<WindowedValue<KV<K, OutputAccumT>>> outputCoder, org.apache.beam.runners.core.SystemReduceFn<K, InputAccumT, ?, OutputAccumT, BoundedWindow> reduceFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs) Create a DoFnOperator instance that group elements per window and apply a combine function on them.static <K,
InputAccumT, OutputAccumT, InputT, OutputT>
WindowDoFnOperator<K, InputAccumT, OutputAccumT> getWindowedAggregateDoFnOperator
(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, KvCoder<K, InputAccumT> inputKvCoder, Coder<WindowedValue<KV<K, OutputAccumT>>> outputCoder, CombineFnBase.GlobalCombineFn<? super InputAccumT, ?, OutputAccumT> combineFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs)
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Constructor Details
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FlinkStreamingAggregationsTranslators
public FlinkStreamingAggregationsTranslators()
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Method Details
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getWindowedAggregateDoFnOperator
public static <K,InputAccumT, WindowDoFnOperator<K,OutputAccumT, InputT, OutputT> InputAccumT, getWindowedAggregateDoFnOperatorOutputAccumT> (org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, KvCoder<K, InputAccumT> inputKvCoder, Coder<WindowedValue<KV<K, OutputAccumT>>> outputCoder, org.apache.beam.runners.core.SystemReduceFn<K, InputAccumT, ?, OutputAccumT, BoundedWindow> reduceFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs) Create a DoFnOperator instance that group elements per window and apply a combine function on them. -
getWindowedAggregateDoFnOperator
public static <K,InputAccumT, WindowDoFnOperator<K,OutputAccumT, InputT, OutputT> InputAccumT, getWindowedAggregateDoFnOperatorOutputAccumT> (org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, KvCoder<K, InputAccumT> inputKvCoder, Coder<WindowedValue<KV<K, OutputAccumT>>> outputCoder, CombineFnBase.GlobalCombineFn<? super InputAccumT, ?, OutputAccumT> combineFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs) -
getBatchCombinePerKeyOperator
public static <K,InputT, org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K,AccumT, OutputT> OutputT>>> getBatchCombinePerKeyOperator(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PCollection<KV<K, InputT>> input, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs, Coder<WindowedValue<KV<K, AccumT>>> windowedAccumCoder, CombineFnBase.GlobalCombineFn<InputT, AccumT, ?> combineFn, WindowDoFnOperator<K, AccumT, OutputT> finalDoFnOperator, org.apache.flink.api.common.typeinfo.TypeInformation<WindowedValue<KV<K, OutputT>>> outputTypeInfo) -
batchGroupByKey
public static <K,InputT> org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K,Iterable<InputT>>>> batchGroupByKey(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, Iterable<InputT>>>> transform) Creates a two-steps GBK operation. Elements are first aggregated locally to save on serialized size since in batch it's very likely that all the elements will be within the same window and pane. The only difference with batchCombinePerKey is the nature of the SystemReduceFn used. It uses SystemReduceFn.buffering() instead of SystemReduceFn.combining() so that new element can simply be appended without accessing the existing state. -
batchCombinePerKey
public static <K,InputT, org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K,AccumT, OutputT> OutputT>>> batchCombinePerKey(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, CombineFnBase.GlobalCombineFn<InputT, AccumT, OutputT> combineFn, Map<Integer, PCollectionView<?>> sideInputTagMapping, List<PCollectionView<?>> sideInputs) -
buildTwoInputStream
public static <K,InputT, org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K,OutputT> OutputT>>> buildTwoInputStream(org.apache.flink.streaming.api.datastream.KeyedStream<WindowedValue<KV<K, InputT>>, FlinkKey> keyedStream, org.apache.flink.streaming.api.datastream.DataStream<RawUnionValue> sideInputStream, String name, WindowDoFnOperator<K, InputT, OutputT> operator, org.apache.flink.api.common.typeinfo.TypeInformation<WindowedValue<KV<K, OutputT>>> outputTypeInfo) -
batchCombinePerKeyNoSideInputs
public static <K,InputT, org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator<WindowedValue<KV<K,AccumT, OutputT> OutputT>>> batchCombinePerKeyNoSideInputs(org.apache.beam.runners.flink.FlinkStreamingTranslationContext context, PTransform<PCollection<KV<K, InputT>>, PCollection<KV<K, OutputT>>> transform, CombineFnBase.GlobalCombineFn<InputT, AccumT, OutputT> combineFn)
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