Examples with ExecEdge org.apache.flink.table.planner.plan.nodes.exec.ExecEdge used on opensource projects

Example 11 with ExecEdge

use of org.apache.flink.table.planner.plan.nodes.exec.ExecEdge in project flink by apache.

the class StreamExecWatermarkAssigner method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final GeneratedWatermarkGenerator watermarkGenerator = WatermarkGeneratorCodeGenerator.generateWatermarkGenerator(config.getTableConfig(), (RowType) inputEdge.getOutputType(), watermarkExpr, JavaScalaConversionUtil.toScala(Optional.empty()));
    final long idleTimeout = config.get(ExecutionConfigOptions.TABLE_EXEC_SOURCE_IDLE_TIMEOUT).toMillis();
    final WatermarkAssignerOperatorFactory operatorFactory = new WatermarkAssignerOperatorFactory(rowtimeFieldIndex, idleTimeout, watermarkGenerator);
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(WATERMARK_ASSIGNER_TRANSFORMATION, config), operatorFactory, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
}

Example 12 with ExecEdge

use of org.apache.flink.table.planner.plan.nodes.exec.ExecEdge in project flink by apache.

the class StreamExecGlobalWindowAggregate method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final ZoneId shiftTimeZone = TimeWindowUtil.getShiftTimeZone(windowing.getTimeAttributeType(), config.getLocalTimeZone());
    final SliceAssigner sliceAssigner = createSliceAssigner(windowing, shiftTimeZone);
    final AggregateInfoList localAggInfoList = AggregateUtil.deriveStreamWindowAggregateInfoList(// should use original input here
    localAggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), windowing.getWindow(), // isStateBackendDataViews
    false);
    final AggregateInfoList globalAggInfoList = AggregateUtil.deriveStreamWindowAggregateInfoList(// should use original input here
    localAggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), windowing.getWindow(), // isStateBackendDataViews
    true);
    // handler used to merge multiple local accumulators into one accumulator,
    // where the accumulators are all on memory
    final GeneratedNamespaceAggsHandleFunction<Long> localAggsHandler = createAggsHandler("LocalWindowAggsHandler", sliceAssigner, localAggInfoList, grouping.length, true, localAggInfoList.getAccTypes(), config, planner.getRelBuilder(), shiftTimeZone);
    // handler used to merge the single local accumulator (on memory) into state accumulator
    final GeneratedNamespaceAggsHandleFunction<Long> globalAggsHandler = createAggsHandler("GlobalWindowAggsHandler", sliceAssigner, globalAggInfoList, 0, true, localAggInfoList.getAccTypes(), config, planner.getRelBuilder(), shiftTimeZone);
    // handler used to merge state accumulators for merging slices into window,
    // e.g. Hop and Cumulate
    final GeneratedNamespaceAggsHandleFunction<Long> stateAggsHandler = createAggsHandler("StateWindowAggsHandler", sliceAssigner, globalAggInfoList, 0, false, globalAggInfoList.getAccTypes(), config, planner.getRelBuilder(), shiftTimeZone);
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
    final LogicalType[] accTypes = convertToLogicalTypes(globalAggInfoList.getAccTypes());
    final OneInputStreamOperator<RowData, RowData> windowOperator = SlicingWindowAggOperatorBuilder.builder().inputSerializer(new RowDataSerializer(inputRowType)).shiftTimeZone(shiftTimeZone).keySerializer((PagedTypeSerializer<RowData>) selector.getProducedType().toSerializer()).assigner(sliceAssigner).countStarIndex(globalAggInfoList.getIndexOfCountStar()).globalAggregate(localAggsHandler, globalAggsHandler, stateAggsHandler, new RowDataSerializer(accTypes)).build();
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(GLOBAL_WINDOW_AGGREGATE_TRANSFORMATION, config), SimpleOperatorFactory.of(windowOperator), InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism(), WINDOW_AGG_MEMORY_RATIO);
    // set KeyType and Selector for state
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}

Example 13 with ExecEdge

use of org.apache.flink.table.planner.plan.nodes.exec.ExecEdge in project flink by apache.

the class StreamExecGroupTableAggregate method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    if (grouping.length > 0 && config.getStateRetentionTime() < 0) {
        LOG.warn("No state retention interval configured for a query which accumulates state. " + "Please provide a query configuration with valid retention interval to prevent excessive " + "state size. You may specify a retention time of 0 to not clean up the state.");
    }
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final AggsHandlerCodeGenerator generator = new AggsHandlerCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), planner.getRelBuilder(), JavaScalaConversionUtil.toScala(inputRowType.getChildren()), // TODO: but other operators do not copy this input field.....
    true).needAccumulate();
    if (needRetraction) {
        generator.needRetract();
    }
    final AggregateInfoList aggInfoList = AggregateUtil.transformToStreamAggregateInfoList(inputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), aggCallNeedRetractions, needRetraction, // isStateBackendDataViews
    true, // needDistinctInfo
    true);
    final GeneratedTableAggsHandleFunction aggsHandler = generator.generateTableAggsHandler("GroupTableAggHandler", aggInfoList);
    final LogicalType[] accTypes = Arrays.stream(aggInfoList.getAccTypes()).map(LogicalTypeDataTypeConverter::fromDataTypeToLogicalType).toArray(LogicalType[]::new);
    final int inputCountIndex = aggInfoList.getIndexOfCountStar();
    final GroupTableAggFunction aggFunction = new GroupTableAggFunction(aggsHandler, accTypes, inputCountIndex, generateUpdateBefore, config.getStateRetentionTime());
    final OneInputStreamOperator<RowData, RowData> operator = new KeyedProcessOperator<>(aggFunction);
    // partitioned aggregation
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(GROUP_TABLE_AGGREGATE_TRANSFORMATION, config), operator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
    // set KeyType and Selector for state
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}

Example 14 with ExecEdge

use of org.apache.flink.table.planner.plan.nodes.exec.ExecEdge in project flink by apache.

the class StreamExecSort method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    if (!config.get(InternalConfigOptions.TABLE_EXEC_NON_TEMPORAL_SORT_ENABLED)) {
        throw new TableException("Sort on a non-time-attribute field is not supported.");
    }
    ExecEdge inputEdge = getInputEdges().get(0);
    RowType inputType = (RowType) inputEdge.getOutputType();
    // sort code gen
    GeneratedRecordComparator rowComparator = ComparatorCodeGenerator.gen(config.getTableConfig(), "StreamExecSortComparator", inputType, sortSpec);
    StreamSortOperator sortOperator = new StreamSortOperator(InternalTypeInfo.of(inputType), rowComparator);
    Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(SORT_TRANSFORMATION, config), sortOperator, InternalTypeInfo.of(inputType), inputTransform.getParallelism());
}

Example 15 with ExecEdge

use of org.apache.flink.table.planner.plan.nodes.exec.ExecEdge in project flink by apache.

the class BatchExecHashWindowAggregate method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final AggregateInfoList aggInfos = AggregateUtil.transformToBatchAggregateInfoList(aggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), // aggCallNeedRetractions
    null, // orderKeyIndexes
    null);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final HashWindowCodeGenerator hashWindowCodeGenerator = new HashWindowCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), planner.getRelBuilder(), window, inputTimeFieldIndex, inputTimeIsDate, JavaScalaConversionUtil.toScala(Arrays.asList(namedWindowProperties)), aggInfos, inputRowType, grouping, auxGrouping, enableAssignPane, isMerge, isFinal);
    final int groupBufferLimitSize = config.get(ExecutionConfigOptions.TABLE_EXEC_WINDOW_AGG_BUFFER_SIZE_LIMIT);
    final Tuple2<Long, Long> windowSizeAndSlideSize = WindowCodeGenerator.getWindowDef(window);
    final GeneratedOperator<OneInputStreamOperator<RowData, RowData>> generatedOperator = hashWindowCodeGenerator.gen(inputRowType, (RowType) getOutputType(), groupBufferLimitSize, // windowStart
    0, windowSizeAndSlideSize.f0, windowSizeAndSlideSize.f1);
    final long managedMemory = config.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_HASH_AGG_MEMORY).getBytes();
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationName(config), createTransformationDescription(config), new CodeGenOperatorFactory<>(generatedOperator), InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism(), managedMemory);
}