Examples with RowDataKeySelector org.apache.flink.table.runtime.keyselector.RowDataKeySelector used on opensource projects

Example 11 with RowDataKeySelector

use of org.apache.flink.table.runtime.keyselector.RowDataKeySelector in project flink by apache.

the class StreamExecWindowAggregate 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);
    // Hopping window requires additional COUNT(*) to determine whether to register next timer
    // through whether the current fired window is empty, see SliceSharedWindowAggProcessor.
    final AggregateInfoList aggInfoList = AggregateUtil.deriveStreamWindowAggregateInfoList(inputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), windowing.getWindow(), // isStateBackendDataViews
    true);
    final GeneratedNamespaceAggsHandleFunction<Long> generatedAggsHandler = createAggsHandler(sliceAssigner, aggInfoList, config, planner.getRelBuilder(), inputRowType.getChildren(), shiftTimeZone);
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
    final LogicalType[] accTypes = convertToLogicalTypes(aggInfoList.getAccTypes());
    final OneInputStreamOperator<RowData, RowData> windowOperator = SlicingWindowAggOperatorBuilder.builder().inputSerializer(new RowDataSerializer(inputRowType)).shiftTimeZone(shiftTimeZone).keySerializer((PagedTypeSerializer<RowData>) selector.getProducedType().toSerializer()).assigner(sliceAssigner).countStarIndex(aggInfoList.getIndexOfCountStar()).aggregate(generatedAggsHandler, new RowDataSerializer(accTypes)).build();
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(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 12 with RowDataKeySelector

use of org.apache.flink.table.runtime.keyselector.RowDataKeySelector 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 RowDataKeySelector

use of org.apache.flink.table.runtime.keyselector.RowDataKeySelector 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 RowDataKeySelector

use of org.apache.flink.table.runtime.keyselector.RowDataKeySelector in project flink by apache.

the class WindowOperatorContractTest method createWindowOperator.

// ------------------------------------------------------------------------------------------
@SuppressWarnings("unchecked")
private <W extends Window> KeyedOneInputStreamOperatorTestHarness<RowData, RowData, RowData> createWindowOperator(WindowAssigner<W> assigner, Trigger<W> trigger, NamespaceAggsHandleFunctionBase<W> aggregationsFunction, long allowedLateness) throws Exception {
    LogicalType[] inputTypes = new LogicalType[] { VarCharType.STRING_TYPE, new IntType() };
    RowDataKeySelector keySelector = HandwrittenSelectorUtil.getRowDataSelector(new int[] { 0 }, inputTypes);
    TypeInformation<RowData> keyType = keySelector.getProducedType();
    LogicalType[] accTypes = new LogicalType[] { new BigIntType(), new BigIntType() };
    LogicalType[] windowTypes = new LogicalType[] { new BigIntType(), new BigIntType() };
    LogicalType[] outputTypeWithoutKeys = new LogicalType[] { new BigIntType(), new BigIntType(), new BigIntType(), new BigIntType() };
    boolean sendRetraction = allowedLateness > 0;
    if (aggregationsFunction instanceof NamespaceAggsHandleFunction) {
        AggregateWindowOperator operator = new AggregateWindowOperator((NamespaceAggsHandleFunction) aggregationsFunction, mock(RecordEqualiser.class), assigner, trigger, assigner.getWindowSerializer(new ExecutionConfig()), inputTypes, outputTypeWithoutKeys, accTypes, windowTypes, 2, sendRetraction, allowedLateness, UTC_ZONE_ID, -1);
        return new KeyedOneInputStreamOperatorTestHarness<RowData, RowData, RowData>(operator, keySelector, keyType);
    } else {
        TableAggregateWindowOperator operator = new TableAggregateWindowOperator((NamespaceTableAggsHandleFunction) aggregationsFunction, assigner, trigger, assigner.getWindowSerializer(new ExecutionConfig()), inputTypes, outputTypeWithoutKeys, accTypes, windowTypes, 2, sendRetraction, allowedLateness, UTC_ZONE_ID, -1);
        return new KeyedOneInputStreamOperatorTestHarness<RowData, RowData, RowData>(operator, keySelector, keyType);
    }
}

Example 15 with RowDataKeySelector

use of org.apache.flink.table.runtime.keyselector.RowDataKeySelector in project flink by apache.

the class WindowJoinOperatorTest method createTestHarness.

private KeyedTwoInputStreamOperatorTestHarness<RowData, RowData, RowData, RowData> createTestHarness(FlinkJoinType joinType) throws Exception {
    String funcCode = "public class TestWindowJoinCondition extends org.apache.flink.api.common.functions.AbstractRichFunction " + "implements org.apache.flink.table.runtime.generated.JoinCondition {\n" + "\n" + "    public TestWindowJoinCondition(Object[] reference) {\n" + "    }\n" + "\n" + "    @Override\n" + "    public boolean apply(org.apache.flink.table.data.RowData in1, org.apache.flink.table.data.RowData in2) {\n" + "        return true;\n" + "    }\n" + "}\n";
    GeneratedJoinCondition joinFunction = new GeneratedJoinCondition("TestWindowJoinCondition", funcCode, new Object[0]);
    int keyIdx = 1;
    RowDataKeySelector keySelector = HandwrittenSelectorUtil.getRowDataSelector(new int[] { keyIdx }, INPUT_ROW_TYPE.toRowFieldTypes());
    TypeInformation<RowData> keyType = InternalTypeInfo.ofFields();
    WindowJoinOperator operator = WindowJoinOperatorBuilder.builder().leftSerializer(INPUT_ROW_TYPE.toRowSerializer()).rightSerializer(INPUT_ROW_TYPE.toRowSerializer()).generatedJoinCondition(joinFunction).leftWindowEndIndex(0).rightWindowEndIndex(0).filterNullKeys(new boolean[] { true }).joinType(joinType).withShiftTimezone(shiftTimeZone).build();
    KeyedTwoInputStreamOperatorTestHarness<RowData, RowData, RowData, RowData> testHarness = new KeyedTwoInputStreamOperatorTestHarness<>(operator, keySelector, keySelector, keyType);
    return testHarness;
}