Examples with NamedWindowProperty org.apache.flink.table.runtime.groupwindow.NamedWindowProperty used on opensource projects

Example 16 with NamedWindowProperty

use of org.apache.flink.table.runtime.groupwindow.NamedWindowProperty in project flink-mirror by flink-ci.

the class PythonStreamGroupWindowAggregateOperatorTest method getTestOperator.

@Override
OneInputStreamOperator getTestOperator(Configuration config) {
    long size = 10000L;
    long slide = 5000L;
    SlidingWindowAssigner windowAssigner = SlidingWindowAssigner.of(Duration.ofMillis(size), Duration.ofMillis(slide)).withEventTime();
    WindowReference windowRef = new WindowReference("w$", new TimestampType(3));
    return new PassThroughPythonStreamGroupWindowAggregateOperator(config, getInputType(), getOutputType(), new PythonAggregateFunctionInfo[] { new PythonAggregateFunctionInfo(PythonScalarFunctionOperatorTestBase.DummyPythonFunction.INSTANCE, new Integer[] { 2 }, -1, false) }, getGrouping(), -1, false, false, 3, windowAssigner, FlinkFnApi.GroupWindow.WindowType.SLIDING_GROUP_WINDOW, true, true, size, slide, 0L, 0L, new NamedWindowProperty[] { new NamedWindowProperty("start", new WindowStart(null)), new NamedWindowProperty("end", new WindowEnd(null)) }, UTC_ZONE_ID);
}

Example 17 with NamedWindowProperty

use of org.apache.flink.table.runtime.groupwindow.NamedWindowProperty in project flink-mirror by flink-ci.

the class StreamArrowPythonGroupWindowAggregateFunctionOperatorTest method getTestOperator.

@Override
public AbstractArrowPythonAggregateFunctionOperator getTestOperator(Configuration config, PythonFunctionInfo[] pandasAggregateFunctions, RowType inputType, RowType outputType, int[] groupingSet, int[] udafInputOffsets) {
    long size = 10000L;
    long slide = 5000L;
    SlidingWindowAssigner windowAssigner = SlidingWindowAssigner.of(Duration.ofMillis(size), Duration.ofMillis(slide)).withEventTime();
    EventTimeTriggers.AfterEndOfWindow<Window> trigger = EventTimeTriggers.afterEndOfWindow();
    RowType udfInputType = (RowType) Projection.of(udafInputOffsets).project(inputType);
    RowType udfOutputType = (RowType) Projection.range(groupingSet.length, outputType.getFieldCount() - 2).project(outputType);
    return new PassThroughStreamArrowPythonGroupWindowAggregateFunctionOperator(config, pandasAggregateFunctions, inputType, udfInputType, udfOutputType, 3, windowAssigner, trigger, 0, new NamedWindowProperty[] { new NamedWindowProperty("start", new WindowStart(null)), new NamedWindowProperty("end", new WindowEnd(null)) }, UTC_ZONE_ID, ProjectionCodeGenerator.generateProjection(CodeGeneratorContext.apply(new TableConfig()), "UdafInputProjection", inputType, udfInputType, udafInputOffsets));
}

Example 18 with NamedWindowProperty

use of org.apache.flink.table.runtime.groupwindow.NamedWindowProperty in project flink by splunk.

the class PythonStreamGroupWindowAggregateOperatorTest method getTestOperator.

@Override
OneInputStreamOperator getTestOperator(Configuration config) {
    long size = 10000L;
    long slide = 5000L;
    SlidingWindowAssigner windowAssigner = SlidingWindowAssigner.of(Duration.ofMillis(size), Duration.ofMillis(slide)).withEventTime();
    WindowReference windowRef = new WindowReference("w$", new TimestampType(3));
    return new PassThroughPythonStreamGroupWindowAggregateOperator(config, getInputType(), getOutputType(), new PythonAggregateFunctionInfo[] { new PythonAggregateFunctionInfo(PythonScalarFunctionOperatorTestBase.DummyPythonFunction.INSTANCE, new Integer[] { 2 }, -1, false) }, getGrouping(), -1, false, false, 3, windowAssigner, FlinkFnApi.GroupWindow.WindowType.SLIDING_GROUP_WINDOW, true, true, size, slide, 0L, 0L, new NamedWindowProperty[] { new NamedWindowProperty("start", new WindowStart(null)), new NamedWindowProperty("end", new WindowEnd(null)) }, UTC_ZONE_ID);
}

Example 19 with NamedWindowProperty

use of org.apache.flink.table.runtime.groupwindow.NamedWindowProperty in project flink by splunk.

the class StreamExecGlobalWindowAggregate method createAggsHandler.

private GeneratedNamespaceAggsHandleFunction<Long> createAggsHandler(String name, SliceAssigner sliceAssigner, AggregateInfoList aggInfoList, int mergedAccOffset, boolean mergedAccIsOnHeap, DataType[] mergedAccExternalTypes, ExecNodeConfig config, RelBuilder relBuilder, ZoneId shifTimeZone) {
    final AggsHandlerCodeGenerator generator = new AggsHandlerCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), relBuilder, JavaScalaConversionUtil.toScala(localAggInputRowType.getChildren()), // copyInputField
    true).needAccumulate().needMerge(mergedAccOffset, mergedAccIsOnHeap, mergedAccExternalTypes);
    final List<WindowProperty> windowProperties = Arrays.asList(Arrays.stream(namedWindowProperties).map(NamedWindowProperty::getProperty).toArray(WindowProperty[]::new));
    return generator.generateNamespaceAggsHandler(name, aggInfoList, JavaScalaConversionUtil.toScala(windowProperties), sliceAssigner, shifTimeZone);
}

Example 20 with NamedWindowProperty

use of org.apache.flink.table.runtime.groupwindow.NamedWindowProperty in project flink by splunk.

the class StreamExecGroupWindowAggregate method createAggsHandler.

private GeneratedClass<?> createAggsHandler(AggregateInfoList aggInfoList, ExecNodeConfig config, RelBuilder relBuilder, List<LogicalType> fieldTypes, ZoneId shiftTimeZone) {
    final boolean needMerge;
    final Class<?> windowClass;
    if (window instanceof SlidingGroupWindow) {
        ValueLiteralExpression size = ((SlidingGroupWindow) window).size();
        needMerge = hasTimeIntervalType(size);
        windowClass = hasRowIntervalType(size) ? CountWindow.class : TimeWindow.class;
    } else if (window instanceof TumblingGroupWindow) {
        needMerge = false;
        ValueLiteralExpression size = ((TumblingGroupWindow) window).size();
        windowClass = hasRowIntervalType(size) ? CountWindow.class : TimeWindow.class;
    } else if (window instanceof SessionGroupWindow) {
        needMerge = true;
        windowClass = TimeWindow.class;
    } else {
        throw new TableException("Unsupported window: " + window.toString());
    }
    final AggsHandlerCodeGenerator generator = new AggsHandlerCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), relBuilder, JavaScalaConversionUtil.toScala(fieldTypes), // copyInputField
    false).needAccumulate();
    if (needMerge) {
        generator.needMerge(0, false, null);
    }
    if (needRetraction) {
        generator.needRetract();
    }
    final List<WindowProperty> windowProperties = Arrays.asList(Arrays.stream(namedWindowProperties).map(NamedWindowProperty::getProperty).toArray(WindowProperty[]::new));
    final boolean isTableAggregate = isTableAggregate(Arrays.asList(aggInfoList.getActualAggregateCalls()));
    if (isTableAggregate) {
        return generator.generateNamespaceTableAggsHandler("GroupingWindowTableAggsHandler", aggInfoList, JavaScalaConversionUtil.toScala(windowProperties), windowClass, shiftTimeZone);
    } else {
        return generator.generateNamespaceAggsHandler("GroupingWindowAggsHandler", aggInfoList, JavaScalaConversionUtil.toScala(windowProperties), windowClass, shiftTimeZone);
    }
}