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

Example 36 with ExecEdge

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

the class CommonExecCorrelate 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 CodeGeneratorContext ctx = new CodeGeneratorContext(config.getTableConfig()).setOperatorBaseClass(operatorBaseClass);
    return CorrelateCodeGenerator.generateCorrelateTransformation(config.getTableConfig(), ctx, inputTransform, (RowType) inputEdge.getOutputType(), invocation, JavaScalaConversionUtil.toScala(Optional.ofNullable(condition)), (RowType) getOutputType(), joinType, inputTransform.getParallelism(), retainHeader, getClass().getSimpleName(), createTransformationMeta(CORRELATE_TRANSFORMATION, config));
}

Example 37 with ExecEdge

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

the class CommonExecExpand 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 CodeGenOperatorFactory<RowData> operatorFactory = ExpandCodeGenerator.generateExpandOperator(new CodeGeneratorContext(config.getTableConfig()), (RowType) inputEdge.getOutputType(), (RowType) getOutputType(), projects, retainHeader, getClass().getSimpleName());
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(EXPAND_TRANSFORMATION, config), operatorFactory, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
}

Example 38 with ExecEdge

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

the class BatchExecExchange 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 inputType = (RowType) inputEdge.getOutputType();
    boolean requireUndefinedExchangeMode = false;
    final StreamPartitioner<RowData> partitioner;
    final int parallelism;
    final InputProperty inputProperty = getInputProperties().get(0);
    final RequiredDistribution requiredDistribution = inputProperty.getRequiredDistribution();
    final InputProperty.DistributionType distributionType = requiredDistribution.getType();
    switch(distributionType) {
        case ANY:
            partitioner = null;
            parallelism = ExecutionConfig.PARALLELISM_DEFAULT;
            break;
        case BROADCAST:
            partitioner = new BroadcastPartitioner<>();
            parallelism = ExecutionConfig.PARALLELISM_DEFAULT;
            break;
        case SINGLETON:
            partitioner = new GlobalPartitioner<>();
            parallelism = 1;
            break;
        case HASH:
            partitioner = createHashPartitioner(((HashDistribution) requiredDistribution), inputType, config);
            parallelism = ExecutionConfig.PARALLELISM_DEFAULT;
            break;
        case KEEP_INPUT_AS_IS:
            KeepInputAsIsDistribution keepInputAsIsDistribution = (KeepInputAsIsDistribution) requiredDistribution;
            if (keepInputAsIsDistribution.isStrict()) {
                // explicitly use ForwardPartitioner to guarantee the data distribution is
                // exactly the same as input
                partitioner = new ForwardPartitioner<>();
                requireUndefinedExchangeMode = true;
            } else {
                RequiredDistribution inputDistribution = ((KeepInputAsIsDistribution) requiredDistribution).getInputDistribution();
                checkArgument(inputDistribution instanceof HashDistribution, "Only HashDistribution is supported now");
                partitioner = new ForwardForConsecutiveHashPartitioner<>(createHashPartitioner(((HashDistribution) inputDistribution), inputType, config));
            }
            parallelism = inputTransform.getParallelism();
            break;
        default:
            throw new TableException(distributionType + "is not supported now!");
    }
    final StreamExchangeMode exchangeMode = requireUndefinedExchangeMode ? StreamExchangeMode.UNDEFINED : getBatchStreamExchangeMode(config, requiredExchangeMode);
    final Transformation<RowData> transformation = new PartitionTransformation<>(inputTransform, partitioner, exchangeMode);
    transformation.setParallelism(parallelism);
    transformation.setOutputType(InternalTypeInfo.of(getOutputType()));
    return transformation;
}

Example 39 with ExecEdge

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

the class BatchExecHashAggregate 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 RowType outputRowType = (RowType) getOutputType();
    final CodeGeneratorContext ctx = new CodeGeneratorContext(config.getTableConfig());
    final AggregateInfoList aggInfos = AggregateUtil.transformToBatchAggregateInfoList(aggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), // aggCallNeedRetractions
    null, // orderKeyIndexes
    null);
    final long managedMemory;
    final GeneratedOperator<OneInputStreamOperator<RowData, RowData>> generatedOperator;
    if (grouping.length == 0) {
        managedMemory = 0L;
        generatedOperator = AggWithoutKeysCodeGenerator.genWithoutKeys(ctx, planner.getRelBuilder(), aggInfos, inputRowType, outputRowType, isMerge, isFinal, "NoGrouping");
    } else {
        managedMemory = config.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_HASH_AGG_MEMORY).getBytes();
        generatedOperator = new HashAggCodeGenerator(ctx, planner.getRelBuilder(), aggInfos, inputRowType, outputRowType, grouping, auxGrouping, isMerge, isFinal).genWithKeys();
    }
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationName(config), createTransformationDescription(config), new CodeGenOperatorFactory<>(generatedOperator), InternalTypeInfo.of(outputRowType), inputTransform.getParallelism(), managedMemory);
}

Example 40 with ExecEdge

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

the class CommonExecWindowTableFunction 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);
    WindowAssigner<TimeWindow> windowAssigner = createWindowAssigner(windowingStrategy);
    final ZoneId shiftTimeZone = TimeWindowUtil.getShiftTimeZone(windowingStrategy.getTimeAttributeType(), config.getLocalTimeZone());
    WindowTableFunctionOperator windowTableFunctionOperator = new WindowTableFunctionOperator(windowAssigner, windowingStrategy.getTimeAttributeIndex(), shiftTimeZone);
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(WINDOW_TRANSFORMATION, config), windowTableFunctionOperator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
}