Examples with Transformation org.apache.flink.api.dag.Transformation used on opensource projects

Example 91 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecWindowRank method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    // validate rank type
    switch(rankType) {
        case ROW_NUMBER:
            break;
        case RANK:
            throw new TableException("RANK() function is not supported on Window TopN currently, only ROW_NUMBER() is supported.");
        case DENSE_RANK:
            throw new TableException("DENSE_RANK() function is not supported on Window TopN currently, only ROW_NUMBER() is supported.");
        default:
            throw new TableException(String.format("%s() function is not supported on Window TopN currently, only ROW_NUMBER() is supported.", rankType));
    }
    // validate window strategy
    if (!windowing.isRowtime()) {
        throw new TableException("Processing time Window TopN is not supported yet.");
    }
    int windowEndIndex;
    if (windowing instanceof WindowAttachedWindowingStrategy) {
        windowEndIndex = ((WindowAttachedWindowingStrategy) windowing).getWindowEnd();
    } else {
        throw new UnsupportedOperationException(windowing.getClass().getName() + " is not supported yet.");
    }
    ExecEdge inputEdge = getInputEdges().get(0);
    RowType inputType = (RowType) inputEdge.getOutputType();
    // validate rank range
    ConstantRankRange constantRankRange;
    if (rankRange instanceof ConstantRankRange) {
        constantRankRange = (ConstantRankRange) rankRange;
    } else {
        throw new TableException(String.format("Rank strategy %s is not supported on window rank currently.", rankRange.toString(inputType.getFieldNames())));
    }
    Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    InternalTypeInfo<RowData> inputRowTypeInfo = InternalTypeInfo.of(inputType);
    int[] sortFields = sortSpec.getFieldIndices();
    RowDataKeySelector sortKeySelector = KeySelectorUtil.getRowDataSelector(sortFields, inputRowTypeInfo);
    SortSpec.SortSpecBuilder builder = SortSpec.builder();
    IntStream.range(0, sortFields.length).forEach(idx -> builder.addField(idx, sortSpec.getFieldSpec(idx).getIsAscendingOrder(), sortSpec.getFieldSpec(idx).getNullIsLast()));
    SortSpec sortSpecInSortKey = builder.build();
    ZoneId shiftTimeZone = TimeWindowUtil.getShiftTimeZone(windowing.getTimeAttributeType(), config.getLocalTimeZone());
    GeneratedRecordComparator sortKeyComparator = ComparatorCodeGenerator.gen(config.getTableConfig(), "StreamExecSortComparator", RowType.of(sortSpec.getFieldTypes(inputType)), sortSpecInSortKey);
    RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(partitionSpec.getFieldIndices(), inputRowTypeInfo);
    OneInputStreamOperator<RowData, RowData> operator = WindowRankOperatorBuilder.builder().inputSerializer(new RowDataSerializer(inputType)).shiftTimeZone(shiftTimeZone).keySerializer((PagedTypeSerializer<RowData>) selector.getProducedType().toSerializer()).sortKeySelector(sortKeySelector).sortKeyComparator(sortKeyComparator).outputRankNumber(outputRankNumber).rankStart(constantRankRange.getRankStart()).rankEnd(constantRankRange.getRankEnd()).windowEndIndex(windowEndIndex).build();
    OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(WINDOW_RANK_TRANSFORMATION, config), SimpleOperatorFactory.of(operator), InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism(), WINDOW_RANK_MEMORY_RATIO);
    // set KeyType and Selector for state
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}

Example 92 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecIntervalJoin method translateToPlanInternal.

@Override
@SuppressWarnings("unchecked")
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    ExecEdge leftInputEdge = getInputEdges().get(0);
    ExecEdge rightInputEdge = getInputEdges().get(1);
    RowType leftRowType = (RowType) leftInputEdge.getOutputType();
    RowType rightRowType = (RowType) rightInputEdge.getOutputType();
    Transformation<RowData> leftInputTransform = (Transformation<RowData>) leftInputEdge.translateToPlan(planner);
    Transformation<RowData> rightInputTransform = (Transformation<RowData>) rightInputEdge.translateToPlan(planner);
    RowType returnType = (RowType) getOutputType();
    InternalTypeInfo<RowData> returnTypeInfo = InternalTypeInfo.of(returnType);
    JoinSpec joinSpec = intervalJoinSpec.getJoinSpec();
    IntervalJoinSpec.WindowBounds windowBounds = intervalJoinSpec.getWindowBounds();
    switch(joinSpec.getJoinType()) {
        case INNER:
        case LEFT:
        case RIGHT:
        case FULL:
            long relativeWindowSize = windowBounds.getLeftUpperBound() - windowBounds.getLeftLowerBound();
            if (relativeWindowSize < 0) {
                LOGGER.warn("The relative time interval size " + relativeWindowSize + "is negative, please check the join conditions.");
                return createNegativeWindowSizeJoin(joinSpec, leftInputTransform, rightInputTransform, leftRowType.getFieldCount(), rightRowType.getFieldCount(), returnTypeInfo, config);
            } else {
                GeneratedJoinCondition joinCondition = JoinUtil.generateConditionFunction(config.getTableConfig(), joinSpec, leftRowType, rightRowType);
                IntervalJoinFunction joinFunction = new IntervalJoinFunction(joinCondition, returnTypeInfo, joinSpec.getFilterNulls());
                TwoInputTransformation<RowData, RowData, RowData> transform;
                if (windowBounds.isEventTime()) {
                    transform = createRowTimeJoin(leftInputTransform, rightInputTransform, returnTypeInfo, joinFunction, joinSpec, windowBounds, config);
                } else {
                    transform = createProcTimeJoin(leftInputTransform, rightInputTransform, returnTypeInfo, joinFunction, joinSpec, windowBounds, config);
                }
                if (inputsContainSingleton()) {
                    transform.setParallelism(1);
                    transform.setMaxParallelism(1);
                }
                // set KeyType and Selector for state
                RowDataKeySelector leftSelect = KeySelectorUtil.getRowDataSelector(joinSpec.getLeftKeys(), InternalTypeInfo.of(leftRowType));
                RowDataKeySelector rightSelect = KeySelectorUtil.getRowDataSelector(joinSpec.getRightKeys(), InternalTypeInfo.of(rightRowType));
                transform.setStateKeySelectors(leftSelect, rightSelect);
                transform.setStateKeyType(leftSelect.getProducedType());
                return transform;
            }
        default:
            throw new TableException("Interval Join: " + joinSpec.getJoinType() + " Join between stream " + "and stream is not supported yet.\nplease re-check " + "interval join statement according to description above.");
    }
}

Example 93 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecJoin method translateToPlanInternal.

@Override
@SuppressWarnings("unchecked")
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge leftInputEdge = getInputEdges().get(0);
    final ExecEdge rightInputEdge = getInputEdges().get(1);
    final Transformation<RowData> leftTransform = (Transformation<RowData>) leftInputEdge.translateToPlan(planner);
    final Transformation<RowData> rightTransform = (Transformation<RowData>) rightInputEdge.translateToPlan(planner);
    final RowType leftType = (RowType) leftInputEdge.getOutputType();
    final RowType rightType = (RowType) rightInputEdge.getOutputType();
    JoinUtil.validateJoinSpec(joinSpec, leftType, rightType, true);
    final int[] leftJoinKey = joinSpec.getLeftKeys();
    final int[] rightJoinKey = joinSpec.getRightKeys();
    final InternalTypeInfo<RowData> leftTypeInfo = InternalTypeInfo.of(leftType);
    final JoinInputSideSpec leftInputSpec = JoinUtil.analyzeJoinInput(leftTypeInfo, leftJoinKey, leftUniqueKeys);
    final InternalTypeInfo<RowData> rightTypeInfo = InternalTypeInfo.of(rightType);
    final JoinInputSideSpec rightInputSpec = JoinUtil.analyzeJoinInput(rightTypeInfo, rightJoinKey, rightUniqueKeys);
    GeneratedJoinCondition generatedCondition = JoinUtil.generateConditionFunction(config.getTableConfig(), joinSpec, leftType, rightType);
    long minRetentionTime = config.getStateRetentionTime();
    AbstractStreamingJoinOperator operator;
    FlinkJoinType joinType = joinSpec.getJoinType();
    if (joinType == FlinkJoinType.ANTI || joinType == FlinkJoinType.SEMI) {
        operator = new StreamingSemiAntiJoinOperator(joinType == FlinkJoinType.ANTI, leftTypeInfo, rightTypeInfo, generatedCondition, leftInputSpec, rightInputSpec, joinSpec.getFilterNulls(), minRetentionTime);
    } else {
        boolean leftIsOuter = joinType == FlinkJoinType.LEFT || joinType == FlinkJoinType.FULL;
        boolean rightIsOuter = joinType == FlinkJoinType.RIGHT || joinType == FlinkJoinType.FULL;
        operator = new StreamingJoinOperator(leftTypeInfo, rightTypeInfo, generatedCondition, leftInputSpec, rightInputSpec, leftIsOuter, rightIsOuter, joinSpec.getFilterNulls(), minRetentionTime);
    }
    final RowType returnType = (RowType) getOutputType();
    final TwoInputTransformation<RowData, RowData, RowData> transform = ExecNodeUtil.createTwoInputTransformation(leftTransform, rightTransform, createTransformationMeta(JOIN_TRANSFORMATION, config), operator, InternalTypeInfo.of(returnType), leftTransform.getParallelism());
    // set KeyType and Selector for state
    RowDataKeySelector leftSelect = KeySelectorUtil.getRowDataSelector(leftJoinKey, leftTypeInfo);
    RowDataKeySelector rightSelect = KeySelectorUtil.getRowDataSelector(rightJoinKey, rightTypeInfo);
    transform.setStateKeySelectors(leftSelect, rightSelect);
    transform.setStateKeyType(leftSelect.getProducedType());
    return transform;
}

Example 94 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecLocalGroupAggregate 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 AggsHandlerCodeGenerator generator = new AggsHandlerCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), planner.getRelBuilder(), JavaScalaConversionUtil.toScala(inputRowType.getChildren()), // the local aggregate result will be buffered, so need copy
    true);
    generator.needAccumulate().needMerge(0, true, null);
    if (needRetraction) {
        generator.needRetract();
    }
    final AggregateInfoList aggInfoList = AggregateUtil.transformToStreamAggregateInfoList(inputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), aggCallNeedRetractions, needRetraction, // isStateBackendDataViews
    false, // needDistinctInfo
    true);
    final GeneratedAggsHandleFunction aggsHandler = generator.generateAggsHandler("GroupAggsHandler", aggInfoList);
    final MiniBatchLocalGroupAggFunction aggFunction = new MiniBatchLocalGroupAggFunction(aggsHandler);
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, (InternalTypeInfo<RowData>) inputTransform.getOutputType());
    final MapBundleOperator<RowData, RowData, RowData, RowData> operator = new MapBundleOperator<>(aggFunction, AggregateUtil.createMiniBatchTrigger(config), selector);
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(LOCAL_GROUP_AGGREGATE_TRANSFORMATION, config), operator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
}

Example 95 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecMiniBatchAssigner method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final Transformation<RowData> inputTransform = (Transformation<RowData>) getInputEdges().get(0).translateToPlan(planner);
    final OneInputStreamOperator<RowData, RowData> operator;
    if (miniBatchInterval.getMode() == MiniBatchMode.ProcTime) {
        operator = new ProcTimeMiniBatchAssignerOperator(miniBatchInterval.getInterval());
    } else if (miniBatchInterval.getMode() == MiniBatchMode.RowTime) {
        operator = new RowTimeMiniBatchAssginerOperator(miniBatchInterval.getInterval());
    } else {
        throw new TableException(String.format("MiniBatchAssigner shouldn't be in %s mode this is a bug, please file an issue.", miniBatchInterval.getMode()));
    }
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(MINI_BATCH_ASSIGNER_TRANSFORMATION, config), operator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
}