Examples with CodeGeneratorContext org.apache.flink.table.planner.codegen.CodeGeneratorContext used on opensource projects

Example 11 with CodeGeneratorContext

use of org.apache.flink.table.planner.codegen.CodeGeneratorContext in project flink by apache.

the class BatchExecHashJoin method translateToPlanInternal.

@Override
@SuppressWarnings("unchecked")
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    ExecEdge leftInputEdge = getInputEdges().get(0);
    ExecEdge rightInputEdge = getInputEdges().get(1);
    Transformation<RowData> leftInputTransform = (Transformation<RowData>) leftInputEdge.translateToPlan(planner);
    Transformation<RowData> rightInputTransform = (Transformation<RowData>) rightInputEdge.translateToPlan(planner);
    // get input types
    RowType leftType = (RowType) leftInputEdge.getOutputType();
    RowType rightType = (RowType) rightInputEdge.getOutputType();
    JoinUtil.validateJoinSpec(joinSpec, leftType, rightType, false);
    int[] leftKeys = joinSpec.getLeftKeys();
    int[] rightKeys = joinSpec.getRightKeys();
    LogicalType[] keyFieldTypes = IntStream.of(leftKeys).mapToObj(leftType::getTypeAt).toArray(LogicalType[]::new);
    RowType keyType = RowType.of(keyFieldTypes);
    GeneratedJoinCondition condFunc = JoinUtil.generateConditionFunction(config.getTableConfig(), joinSpec.getNonEquiCondition().orElse(null), leftType, rightType);
    // projection for equals
    GeneratedProjection leftProj = ProjectionCodeGenerator.generateProjection(new CodeGeneratorContext(config.getTableConfig()), "HashJoinLeftProjection", leftType, keyType, leftKeys);
    GeneratedProjection rightProj = ProjectionCodeGenerator.generateProjection(new CodeGeneratorContext(config.getTableConfig()), "HashJoinRightProjection", rightType, keyType, rightKeys);
    Transformation<RowData> buildTransform;
    Transformation<RowData> probeTransform;
    GeneratedProjection buildProj;
    GeneratedProjection probeProj;
    int[] buildKeys;
    int[] probeKeys;
    RowType buildType;
    RowType probeType;
    int buildRowSize;
    long buildRowCount;
    long probeRowCount;
    boolean reverseJoin = !leftIsBuild;
    if (leftIsBuild) {
        buildTransform = leftInputTransform;
        buildProj = leftProj;
        buildType = leftType;
        buildRowSize = estimatedLeftAvgRowSize;
        buildRowCount = estimatedLeftRowCount;
        buildKeys = leftKeys;
        probeTransform = rightInputTransform;
        probeProj = rightProj;
        probeType = rightType;
        probeRowCount = estimatedLeftRowCount;
        probeKeys = rightKeys;
    } else {
        buildTransform = rightInputTransform;
        buildProj = rightProj;
        buildType = rightType;
        buildRowSize = estimatedRightAvgRowSize;
        buildRowCount = estimatedRightRowCount;
        buildKeys = rightKeys;
        probeTransform = leftInputTransform;
        probeProj = leftProj;
        probeType = leftType;
        probeRowCount = estimatedLeftRowCount;
        probeKeys = leftKeys;
    }
    // operator
    StreamOperatorFactory<RowData> operator;
    FlinkJoinType joinType = joinSpec.getJoinType();
    HashJoinType hashJoinType = HashJoinType.of(leftIsBuild, joinType.isLeftOuter(), joinType.isRightOuter(), joinType == FlinkJoinType.SEMI, joinType == FlinkJoinType.ANTI);
    if (LongHashJoinGenerator.support(hashJoinType, keyType, joinSpec.getFilterNulls())) {
        operator = LongHashJoinGenerator.gen(config.getTableConfig(), hashJoinType, keyType, buildType, probeType, buildKeys, probeKeys, buildRowSize, buildRowCount, reverseJoin, condFunc);
    } else {
        operator = SimpleOperatorFactory.of(HashJoinOperator.newHashJoinOperator(hashJoinType, condFunc, reverseJoin, joinSpec.getFilterNulls(), buildProj, probeProj, tryDistinctBuildRow, buildRowSize, buildRowCount, probeRowCount, keyType));
    }
    long managedMemory = config.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_HASH_JOIN_MEMORY).getBytes();
    return ExecNodeUtil.createTwoInputTransformation(buildTransform, probeTransform, createTransformationName(config), createTransformationDescription(config), operator, InternalTypeInfo.of(getOutputType()), probeTransform.getParallelism(), managedMemory);
}

Example 12 with CodeGeneratorContext

use of org.apache.flink.table.planner.codegen.CodeGeneratorContext in project flink by apache.

the class StreamExecDataStreamScan method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final Transformation<?> sourceTransform = dataStream.getTransformation();
    final Optional<RexNode> rowtimeExpr = getRowtimeExpression(planner.getRelBuilder());
    final Transformation<RowData> transformation;
    // conversion.
    if (rowtimeExpr.isPresent() || ScanUtil.needsConversion(sourceType)) {
        final String extractElement, resetElement;
        if (ScanUtil.hasTimeAttributeField(fieldIndexes)) {
            String elementTerm = OperatorCodeGenerator.ELEMENT();
            extractElement = String.format("ctx.%s = %s;", elementTerm, elementTerm);
            resetElement = String.format("ctx.%s = null;", elementTerm);
        } else {
            extractElement = "";
            resetElement = "";
        }
        final CodeGeneratorContext ctx = new CodeGeneratorContext(config.getTableConfig()).setOperatorBaseClass(TableStreamOperator.class);
        transformation = ScanUtil.convertToInternalRow(ctx, (Transformation<Object>) sourceTransform, fieldIndexes, sourceType, (RowType) getOutputType(), qualifiedName, (detailName, simplifyName) -> createFormattedTransformationName(detailName, simplifyName, config), (description) -> createFormattedTransformationDescription(description, config), JavaScalaConversionUtil.toScala(rowtimeExpr), extractElement, resetElement);
    } else {
        transformation = (Transformation<RowData>) sourceTransform;
    }
    return transformation;
}

Example 13 with CodeGeneratorContext

use of org.apache.flink.table.planner.codegen.CodeGeneratorContext in project flink by apache.

the class CommonExecLookupJoin method createSyncLookupJoin.

private StreamOperatorFactory<RowData> createSyncLookupJoin(RelOptTable temporalTable, ExecNodeConfig config, Map<Integer, LookupJoinUtil.LookupKey> allLookupKeys, TableFunction<?> syncLookupFunction, RelBuilder relBuilder, RowType inputRowType, RowType tableSourceRowType, RowType resultRowType, boolean isLeftOuterJoin, boolean isObjectReuseEnabled) {
    DataTypeFactory dataTypeFactory = ShortcutUtils.unwrapContext(relBuilder).getCatalogManager().getDataTypeFactory();
    int[] orderedLookupKeys = LookupJoinUtil.getOrderedLookupKeys(allLookupKeys.keySet());
    GeneratedFunction<FlatMapFunction<RowData, RowData>> generatedFetcher = LookupJoinCodeGenerator.generateSyncLookupFunction(config.getTableConfig(), dataTypeFactory, inputRowType, tableSourceRowType, resultRowType, allLookupKeys, orderedLookupKeys, syncLookupFunction, StringUtils.join(temporalTable.getQualifiedName(), "."), isObjectReuseEnabled);
    RowType rightRowType = Optional.ofNullable(temporalTableOutputType).map(FlinkTypeFactory::toLogicalRowType).orElse(tableSourceRowType);
    CodeGeneratorContext ctx = new CodeGeneratorContext(config.getTableConfig());
    GeneratedCollector<TableFunctionCollector<RowData>> generatedCollector = LookupJoinCodeGenerator.generateCollector(ctx, inputRowType, rightRowType, resultRowType, JavaScalaConversionUtil.toScala(Optional.ofNullable(joinCondition)), JavaScalaConversionUtil.toScala(Optional.empty()), true);
    ProcessFunction<RowData, RowData> processFunc;
    if (existCalcOnTemporalTable) {
        // a projection or filter after table source scan
        GeneratedFunction<FlatMapFunction<RowData, RowData>> generatedCalc = LookupJoinCodeGenerator.generateCalcMapFunction(config.getTableConfig(), JavaScalaConversionUtil.toScala(projectionOnTemporalTable), filterOnTemporalTable, temporalTableOutputType, tableSourceRowType);
        processFunc = new LookupJoinWithCalcRunner(generatedFetcher, generatedCalc, generatedCollector, isLeftOuterJoin, rightRowType.getFieldCount());
    } else {
        // right type is the same as table source row type, because no calc after temporal table
        processFunc = new LookupJoinRunner(generatedFetcher, generatedCollector, isLeftOuterJoin, rightRowType.getFieldCount());
    }
    return SimpleOperatorFactory.of(new ProcessOperator<>(processFunc));
}

Example 14 with CodeGeneratorContext

use of org.apache.flink.table.planner.codegen.CodeGeneratorContext 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 15 with CodeGeneratorContext

use of org.apache.flink.table.planner.codegen.CodeGeneratorContext 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());
}