use of org.apache.flink.table.runtime.operators.bundle.MapBundleOperator 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());
}
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