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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2021/01/07 07:17:25 UTC
[GitHub] [flink] wuchong commented on a change in pull request #14569: [FLINK-20856][table-planner-blink] Separate the implementation of stream window aggregate nodes
wuchong commented on a change in pull request #14569:
URL: https://github.com/apache/flink/pull/14569#discussion_r553145500
##########
File path: flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecGroupWindowAggregate.java
##########
@@ -0,0 +1,373 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.planner.plan.nodes.exec.stream;
+
+import org.apache.flink.api.dag.Transformation;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+import org.apache.flink.table.api.TableConfig;
+import org.apache.flink.table.api.TableException;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.expressions.FieldReferenceExpression;
+import org.apache.flink.table.expressions.ValueLiteralExpression;
+import org.apache.flink.table.planner.calcite.FlinkRelBuilder.PlannerNamedWindowProperty;
+import org.apache.flink.table.planner.codegen.CodeGeneratorContext;
+import org.apache.flink.table.planner.codegen.EqualiserCodeGenerator;
+import org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator;
+import org.apache.flink.table.planner.delegation.PlannerBase;
+import org.apache.flink.table.planner.expressions.PlannerWindowProperty;
+import org.apache.flink.table.planner.plan.logical.LogicalWindow;
+import org.apache.flink.table.planner.plan.logical.SessionGroupWindow;
+import org.apache.flink.table.planner.plan.logical.SlidingGroupWindow;
+import org.apache.flink.table.planner.plan.logical.TumblingGroupWindow;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecEdge;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase;
+import org.apache.flink.table.planner.plan.utils.AggregateInfoList;
+import org.apache.flink.table.planner.plan.utils.KeySelectorUtil;
+import org.apache.flink.table.planner.plan.utils.WindowEmitStrategy;
+import org.apache.flink.table.planner.utils.JavaScalaConversionUtil;
+import org.apache.flink.table.runtime.generated.GeneratedClass;
+import org.apache.flink.table.runtime.generated.GeneratedNamespaceAggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedNamespaceTableAggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedRecordEqualiser;
+import org.apache.flink.table.runtime.keyselector.RowDataKeySelector;
+import org.apache.flink.table.runtime.operators.window.CountWindow;
+import org.apache.flink.table.runtime.operators.window.TimeWindow;
+import org.apache.flink.table.runtime.operators.window.WindowOperator;
+import org.apache.flink.table.runtime.operators.window.WindowOperatorBuilder;
+import org.apache.flink.table.runtime.types.LogicalTypeDataTypeConverter;
+import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.RowType;
+
+import org.apache.calcite.rel.core.AggregateCall;
+import org.apache.calcite.tools.RelBuilder;
+import org.apache.commons.lang3.ArrayUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.time.Duration;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.hasRowIntervalType;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.hasTimeIntervalType;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isProctimeAttribute;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isRowtimeAttribute;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isTableAggregate;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.toDuration;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.toLong;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.transformToStreamAggregateInfoList;
+
+/** Stream {@link ExecNode} for either group window aggregate or group window table aggregate. */
+public class StreamExecGroupWindowAggregate extends ExecNodeBase<RowData>
+ implements StreamExecNode<RowData> {
+ private static final Logger LOGGER =
+ LoggerFactory.getLogger(StreamExecGroupWindowAggregate.class);
+
+ private final int[] grouping;
+ private final AggregateCall[] aggCalls;
+ private final LogicalWindow window;
+ private final PlannerNamedWindowProperty[] namedProperties;
+ private final int inputTimeFieldIndex;
+ private final WindowEmitStrategy emitStrategy;
+ private final boolean needRetraction;
+ private final String aggType;
+
+ public StreamExecGroupWindowAggregate(
+ int[] grouping,
+ AggregateCall[] aggCalls,
+ LogicalWindow window,
+ PlannerNamedWindowProperty[] namedProperties,
+ int inputTimeFieldIndex,
+ WindowEmitStrategy emitStrategy,
+ boolean needRetraction,
+ String aggType,
+ ExecEdge inputEdge,
+ RowType outputType,
+ String description) {
+ super(Collections.singletonList(inputEdge), outputType, description);
+ this.grouping = grouping;
+ this.aggCalls = aggCalls;
+ this.window = window;
+ this.namedProperties = namedProperties;
+ this.inputTimeFieldIndex = inputTimeFieldIndex;
+ this.emitStrategy = emitStrategy;
+ this.needRetraction = needRetraction;
+ this.aggType = aggType;
Review comment:
I think `aggType` is a too generic name. It seems only be used for printing. Is it possible to eliminate it? Maybe we don't need to mention this is a TableAggregate or Aggregate, the important information is that this is a window.
##########
File path: flink-table/flink-table-planner-blink/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecGroupWindowAggregate.java
##########
@@ -0,0 +1,373 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.planner.plan.nodes.exec.stream;
+
+import org.apache.flink.api.dag.Transformation;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+import org.apache.flink.table.api.TableConfig;
+import org.apache.flink.table.api.TableException;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.expressions.FieldReferenceExpression;
+import org.apache.flink.table.expressions.ValueLiteralExpression;
+import org.apache.flink.table.planner.calcite.FlinkRelBuilder.PlannerNamedWindowProperty;
+import org.apache.flink.table.planner.codegen.CodeGeneratorContext;
+import org.apache.flink.table.planner.codegen.EqualiserCodeGenerator;
+import org.apache.flink.table.planner.codegen.agg.AggsHandlerCodeGenerator;
+import org.apache.flink.table.planner.delegation.PlannerBase;
+import org.apache.flink.table.planner.expressions.PlannerWindowProperty;
+import org.apache.flink.table.planner.plan.logical.LogicalWindow;
+import org.apache.flink.table.planner.plan.logical.SessionGroupWindow;
+import org.apache.flink.table.planner.plan.logical.SlidingGroupWindow;
+import org.apache.flink.table.planner.plan.logical.TumblingGroupWindow;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecEdge;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
+import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase;
+import org.apache.flink.table.planner.plan.utils.AggregateInfoList;
+import org.apache.flink.table.planner.plan.utils.KeySelectorUtil;
+import org.apache.flink.table.planner.plan.utils.WindowEmitStrategy;
+import org.apache.flink.table.planner.utils.JavaScalaConversionUtil;
+import org.apache.flink.table.runtime.generated.GeneratedClass;
+import org.apache.flink.table.runtime.generated.GeneratedNamespaceAggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedNamespaceTableAggsHandleFunction;
+import org.apache.flink.table.runtime.generated.GeneratedRecordEqualiser;
+import org.apache.flink.table.runtime.keyselector.RowDataKeySelector;
+import org.apache.flink.table.runtime.operators.window.CountWindow;
+import org.apache.flink.table.runtime.operators.window.TimeWindow;
+import org.apache.flink.table.runtime.operators.window.WindowOperator;
+import org.apache.flink.table.runtime.operators.window.WindowOperatorBuilder;
+import org.apache.flink.table.runtime.types.LogicalTypeDataTypeConverter;
+import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.RowType;
+
+import org.apache.calcite.rel.core.AggregateCall;
+import org.apache.calcite.tools.RelBuilder;
+import org.apache.commons.lang3.ArrayUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.time.Duration;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.hasRowIntervalType;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.hasTimeIntervalType;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isProctimeAttribute;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isRowtimeAttribute;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isTableAggregate;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.toDuration;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.toLong;
+import static org.apache.flink.table.planner.plan.utils.AggregateUtil.transformToStreamAggregateInfoList;
+
+/** Stream {@link ExecNode} for either group window aggregate or group window table aggregate. */
+public class StreamExecGroupWindowAggregate extends ExecNodeBase<RowData>
+ implements StreamExecNode<RowData> {
+ private static final Logger LOGGER =
+ LoggerFactory.getLogger(StreamExecGroupWindowAggregate.class);
+
+ private final int[] grouping;
+ private final AggregateCall[] aggCalls;
+ private final LogicalWindow window;
+ private final PlannerNamedWindowProperty[] namedProperties;
+ private final int inputTimeFieldIndex;
+ private final WindowEmitStrategy emitStrategy;
+ private final boolean needRetraction;
+ private final String aggType;
+
+ public StreamExecGroupWindowAggregate(
+ int[] grouping,
+ AggregateCall[] aggCalls,
+ LogicalWindow window,
+ PlannerNamedWindowProperty[] namedProperties,
+ int inputTimeFieldIndex,
+ WindowEmitStrategy emitStrategy,
+ boolean needRetraction,
+ String aggType,
+ ExecEdge inputEdge,
+ RowType outputType,
+ String description) {
+ super(Collections.singletonList(inputEdge), outputType, description);
+ this.grouping = grouping;
+ this.aggCalls = aggCalls;
+ this.window = window;
+ this.namedProperties = namedProperties;
+ this.inputTimeFieldIndex = inputTimeFieldIndex;
+ this.emitStrategy = emitStrategy;
+ this.needRetraction = needRetraction;
+ this.aggType = aggType;
+ }
+
+ @SuppressWarnings("unchecked")
+ @Override
+ protected Transformation<RowData> translateToPlanInternal(PlannerBase planner) {
+ final TableConfig config = planner.getTableConfig();
+
+ final boolean isCountWindow;
+ if (window instanceof TumblingGroupWindow) {
+ isCountWindow = hasRowIntervalType(((TumblingGroupWindow) window).size());
+ } else if (window instanceof SlidingGroupWindow) {
+ isCountWindow = hasRowIntervalType(((SlidingGroupWindow) window).size());
+ } else {
+ isCountWindow = false;
+ }
+
+ if (isCountWindow && grouping.length > 0 && config.getMinIdleStateRetentionTime() < 0) {
+ LOGGER.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 ExecNode<RowData> inputNode = (ExecNode<RowData>) getInputNodes().get(0);
+ final Transformation<RowData> inputTransform = inputNode.translateToPlan(planner);
+
+ final RowType inputRowType = (RowType) inputNode.getOutputType();
+
+ final int timeFieldIndex;
+ if (isRowtimeAttribute(window.timeAttribute())) {
+ if (inputTimeFieldIndex < 0) {
+ throw new TableException(
+ String.format(
+ "Group window %s must defined on a time attribute, "
+ + "but the time attribute can't be found.\n"
+ + "This should never happen. Please file an issue.",
+ aggType));
+ }
+ timeFieldIndex = inputTimeFieldIndex;
+ } else {
+ timeFieldIndex = -1;
+ }
+
+ final boolean[] aggCallNeedRetractions = new boolean[aggCalls.length];
+ Arrays.fill(aggCallNeedRetractions, needRetraction);
+ final AggregateInfoList aggInfoList =
+ transformToStreamAggregateInfoList(
+ inputRowType,
+ JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)),
+ aggCallNeedRetractions,
+ needRetraction,
+ true, // isStateBackendDataViews
+ true); // needDistinctInfo
+
+ final GeneratedClass<?> aggCodeGenerator =
+ createAggsHandler(
+ aggInfoList, config, planner.getRelBuilder(), inputRowType.getChildren());
+
+ final LogicalType[] aggResultTypes = extractLogicalTypes(aggInfoList.getActualValueTypes());
+ final LogicalType[] windowPropertyTypes =
+ Arrays.stream(namedProperties)
+ .map(p -> p.property().resultType())
+ .toArray(LogicalType[]::new);
+
+ final EqualiserCodeGenerator generator =
+ new EqualiserCodeGenerator(ArrayUtils.addAll(aggResultTypes, windowPropertyTypes));
+ final GeneratedRecordEqualiser equaliser =
+ generator.generateRecordEqualiser("WindowValueEqualiser");
+
+ final LogicalType[] aggValueTypes = extractLogicalTypes(aggInfoList.getActualValueTypes());
+ final LogicalType[] accTypes = extractLogicalTypes(aggInfoList.getAccTypes());
+ final WindowOperator<?, ?> operator =
+ createWindowOperator(
+ aggCodeGenerator,
+ equaliser,
+ accTypes,
+ windowPropertyTypes,
+ aggValueTypes,
+ inputRowType.getChildren().toArray(new LogicalType[0]),
+ timeFieldIndex);
+
+ final OneInputTransformation<RowData, RowData> transform =
+ new OneInputTransformation<>(
+ inputTransform,
+ getDesc(),
+ operator,
+ InternalTypeInfo.of(getOutputType()),
+ inputTransform.getParallelism());
+
+ if (inputsContainSingleton()) {
+ transform.setParallelism(1);
+ transform.setMaxParallelism(1);
+ }
+
+ // set KeyType and Selector for state
+ final RowDataKeySelector selector =
+ KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
+ transform.setStateKeySelector(selector);
+ transform.setStateKeyType(selector.getProducedType());
+ return transform;
+ }
+
+ private LogicalType[] extractLogicalTypes(DataType[] dataTypes) {
+ return Arrays.stream(dataTypes)
+ .map(LogicalTypeDataTypeConverter::fromDataTypeToLogicalType)
+ .toArray(LogicalType[]::new);
+ }
+
+ private GeneratedClass<?> createAggsHandler(
+ AggregateInfoList aggInfoList,
+ TableConfig config,
+ RelBuilder relBuilder,
+ List<LogicalType> fieldTypes) {
+ 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),
+ relBuilder,
+ JavaScalaConversionUtil.toScala(fieldTypes),
+ false) // copyInputField
+ .needAccumulate();
+
+ if (needMerge) {
+ generator.needMerge(0, false, null);
+ }
+ if (needRetraction) {
+ generator.needRetract();
+ }
+
+ final List<PlannerWindowProperty> windowProperties =
+ Arrays.asList(
+ Arrays.stream(namedProperties)
+ .map(PlannerNamedWindowProperty::property)
+ .toArray(PlannerWindowProperty[]::new));
+ final boolean isTableAggregate =
+ isTableAggregate(Arrays.asList(aggInfoList.getActualAggregateCalls()));
+ if (isTableAggregate) {
+ return generator.generateNamespaceTableAggsHandler(
+ "GroupingWindowTableAggsHandler",
+ aggInfoList,
+ JavaScalaConversionUtil.toScala(windowProperties),
+ windowClass);
+ } else {
+ return generator.generateNamespaceAggsHandler(
+ "GroupingWindowAggsHandler",
+ aggInfoList,
+ JavaScalaConversionUtil.toScala(windowProperties),
+ windowClass);
+ }
+ }
+
+ private WindowOperator<?, ?> createWindowOperator(
+ GeneratedClass<?> aggsHandler,
+ GeneratedRecordEqualiser recordEqualiser,
+ LogicalType[] accTypes,
+ LogicalType[] windowPropertyTypes,
+ LogicalType[] aggValueTypes,
+ LogicalType[] inputFields,
+ int timeFieldIndex) {
+ WindowOperatorBuilder builder =
+ WindowOperatorBuilder.builder().withInputFields(inputFields);
+
+ if (window instanceof TumblingGroupWindow) {
+ TumblingGroupWindow tumblingWindow = (TumblingGroupWindow) window;
+ FieldReferenceExpression timeField = tumblingWindow.timeField();
+ ValueLiteralExpression size = tumblingWindow.size();
+ if (isProctimeAttribute(timeField) && hasTimeIntervalType(size)) {
+ builder = builder.tumble(toDuration(size)).withProcessingTime();
+ } else if (isRowtimeAttribute(timeField) && hasTimeIntervalType(size)) {
+ builder = builder.tumble(toDuration(size)).withEventTime(timeFieldIndex);
+ } else if (isProctimeAttribute(timeField) && hasRowIntervalType(size)) {
+ builder = builder.countWindow(toLong(size));
+ } else {
+ // TODO: EventTimeTumblingGroupWindow should sort the stream on event time
+ // before applying the windowing logic. Otherwise, this would be the same as a
+ // ProcessingTimeTumblingGroupWindow
+ throw new UnsupportedOperationException(
+ "Event-time grouping windows on row intervals are currently not supported.");
+ }
+ } else if (window instanceof SlidingGroupWindow) {
+ SlidingGroupWindow slidingWindow = (SlidingGroupWindow) window;
+ FieldReferenceExpression timeField = slidingWindow.timeField();
+ ValueLiteralExpression size = slidingWindow.size();
+ ValueLiteralExpression slide = slidingWindow.slide();
+ if (isProctimeAttribute(timeField) && hasTimeIntervalType(size)) {
+ builder = builder.sliding(toDuration(size), toDuration(slide)).withProcessingTime();
+ } else if (isRowtimeAttribute(timeField) && hasTimeIntervalType(size)) {
+ builder =
+ builder.sliding(toDuration(size), toDuration(slide))
+ .withEventTime(timeFieldIndex);
+ } else if (isProctimeAttribute(timeField) && hasRowIntervalType(size)) {
+ builder = builder.countWindow(toLong(size), toLong(slide));
+ } else {
+ // TODO: EventTimeTumblingGroupWindow should sort the stream on event time
+ // before applying the windowing logic. Otherwise, this would be the same as a
+ // ProcessingTimeTumblingGroupWindow
+ throw new UnsupportedOperationException(
+ "Event-time grouping windows on row intervals are currently not supported.");
+ }
+ } else if (window instanceof SessionGroupWindow) {
+ SessionGroupWindow sessionWindow = (SessionGroupWindow) window;
+ FieldReferenceExpression timeField = sessionWindow.timeField();
+ ValueLiteralExpression gap = sessionWindow.gap();
+ if (isProctimeAttribute(timeField)) {
+ builder = builder.session(toDuration(gap)).withProcessingTime();
+ } else if (isRowtimeAttribute(timeField)) {
+ builder = builder.session(toDuration(gap)).withEventTime(timeFieldIndex);
+ } else {
+ throw new UnsupportedOperationException("This should not happen.");
+ }
+ } else {
+ throw new TableException("Unsupported window: " + window.toString());
+ }
+
+ if (emitStrategy.produceUpdates()) {
Review comment:
The original implementation of `StreamExecGroupWindowTableAggregate` throws exception if `emitStrategy` produces updates. However, this check is removed now?
Maybe we can throw this exception in `WindowOperatorBuilder` to keep this class unchanged.
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