Github user ChengXiangLi commented on a diff in the pull request:
https://github.com/apache/flink/pull/1255#discussion_r43985314
--- Diff:
flink-optimizer/src/main/java/org/apache/flink/optimizer/traversals/RangePartitionRewriter.java
---
@@ -0,0 +1,188 @@
+/*
+ * 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.optimizer.traversals;
+
+import org.apache.flink.api.common.distributions.CommonRangeBoundaries;
+import org.apache.flink.api.common.operators.UnaryOperatorInformation;
+import org.apache.flink.api.common.operators.base.GroupReduceOperatorBase;
+import org.apache.flink.api.common.operators.base.MapOperatorBase;
+import org.apache.flink.api.common.operators.base.MapPartitionOperatorBase;
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeutils.TypeComparatorFactory;
+import org.apache.flink.api.java.functions.AssignRangeIndex;
+import org.apache.flink.api.java.functions.PartitionIDRemoveWrapper;
+import org.apache.flink.api.java.functions.RangeBoundaryBuilder;
+import org.apache.flink.api.java.functions.SampleInCoordinator;
+import org.apache.flink.api.java.functions.SampleInPartition;
+import org.apache.flink.api.java.sampling.IntermediateSampleData;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.typeutils.TupleTypeInfo;
+import org.apache.flink.api.java.typeutils.TypeExtractor;
+import org.apache.flink.optimizer.dag.GroupReduceNode;
+import org.apache.flink.optimizer.dag.MapNode;
+import org.apache.flink.optimizer.dag.MapPartitionNode;
+import org.apache.flink.optimizer.dag.TempMode;
+import org.apache.flink.optimizer.plan.Channel;
+import org.apache.flink.optimizer.plan.NamedChannel;
+import org.apache.flink.optimizer.plan.OptimizedPlan;
+import org.apache.flink.optimizer.plan.PlanNode;
+import org.apache.flink.optimizer.plan.SingleInputPlanNode;
+import org.apache.flink.optimizer.util.Utils;
+import org.apache.flink.runtime.operators.DriverStrategy;
+import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
+import org.apache.flink.util.Visitor;
+
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+
+public class RangePartitionRewriter implements Visitor<PlanNode> {
+
+ OptimizedPlan plan;
+
+ public RangePartitionRewriter(OptimizedPlan plan) {
+ this.plan = plan;
+ }
+
+ @Override
+ public boolean preVisit(PlanNode visitable) {
+ return true;
+ }
+
+ @Override
+ public void postVisit(PlanNode visitable) {
+ List<Channel> outgoingChannels =
visitable.getOutgoingChannels();
+ List<Channel> appendOutgoingChannels = new LinkedList<>();
+ List<Channel> removeOutgoingChannels = new LinkedList<>();
+ for (Channel channel : outgoingChannels) {
+ ShipStrategyType shipStrategy =
channel.getShipStrategy();
+ if (shipStrategy == ShipStrategyType.PARTITION_RANGE) {
+ if (channel.getDataDistribution() == null) {
+ removeOutgoingChannels.add(channel);
+
appendOutgoingChannels.addAll(rewriteRangePartitionChannel(channel));
+ }
+ }
+ }
+ outgoingChannels.addAll(appendOutgoingChannels);
+ for (Channel channel : removeOutgoingChannels) {
+ outgoingChannels.remove(channel);
+ }
+ }
+
+ private List<Channel> rewriteRangePartitionChannel(Channel channel) {
+ List<Channel> appendOutgoingChannels = new LinkedList<>();
+ PlanNode sourceNode = channel.getSource();
+ PlanNode targetNode = channel.getTarget();
+ int sourceParallelism = sourceNode.getParallelism();
+ int targetParallelism = targetNode.getParallelism();
+ TypeComparatorFactory<?> comparator =
Utils.getShipComparator(channel,
this.plan.getOriginalPlan().getExecutionConfig());
+ // 1. Fixed size sample in each partitions.
+ long seed = org.apache.flink.api.java.Utils.RNG.nextLong();
+ int sampleSize = 20 * targetParallelism;
+ SampleInPartition sampleInPartition = new
SampleInPartition(false, sampleSize, seed);
+ TypeInformation<?> sourceOutputType =
sourceNode.getOptimizerNode().getOperator().getOperatorInfo().getOutputType();
+ TypeInformation<IntermediateSampleData> isdTypeInformation =
TypeExtractor.getForClass(IntermediateSampleData.class);
+ UnaryOperatorInformation sipOperatorInformation = new
UnaryOperatorInformation(sourceOutputType, isdTypeInformation);
+ MapPartitionOperatorBase sipOperatorBase = new
MapPartitionOperatorBase(sampleInPartition, sipOperatorInformation, "Sample in
partitions");
+ MapPartitionNode sipNode = new
MapPartitionNode(sipOperatorBase);
+ Channel sipChannel = new Channel(sourceNode, TempMode.NONE);
+ sipChannel.setShipStrategy(ShipStrategyType.FORWARD,
channel.getDataExchangeMode());
+ SingleInputPlanNode sipPlanNode = new
SingleInputPlanNode(sipNode, "SampleInPartition PlanNode", sipChannel,
DriverStrategy.MAP_PARTITION);
+ sipPlanNode.setParallelism(sourceParallelism);
+ sipChannel.setTarget(sipPlanNode);
+ appendOutgoingChannels.add(sipChannel);
+ this.plan.getAllNodes().add(sipPlanNode);
+
+ // 2. Fixed size sample in a single coordinator.
+ SampleInCoordinator sampleInCoordinator = new
SampleInCoordinator(false, sampleSize, seed);
+ UnaryOperatorInformation sicOperatorInformation = new
UnaryOperatorInformation(isdTypeInformation, sourceOutputType);
+ GroupReduceOperatorBase sicOperatorBase = new
GroupReduceOperatorBase(sampleInCoordinator, sicOperatorInformation, "Sample in
coordinator");
+ GroupReduceNode sicNode = new GroupReduceNode(sicOperatorBase);
+ Channel sicChannel = new Channel(sipPlanNode, TempMode.NONE);
+ sicChannel.setShipStrategy(ShipStrategyType.PARTITION_HASH,
channel.getShipStrategyKeys(), channel.getShipStrategySortOrder(), null,
channel.getDataExchangeMode());
+ SingleInputPlanNode sicPlanNode = new
SingleInputPlanNode(sicNode, "SampleInCoordinator PlanNode", sicChannel,
DriverStrategy.ALL_GROUP_REDUCE);
+ sicPlanNode.setParallelism(1);
+ sicChannel.setTarget(sicPlanNode);
+ sipPlanNode.addOutgoingChannel(sicChannel);
+ this.plan.getAllNodes().add(sicPlanNode);
+
+ // 3. Use sampled data to build range boundaries.
+ RangeBoundaryBuilder rangeBoundaryBuilder = new
RangeBoundaryBuilder(comparator, targetParallelism);
+ TypeInformation<CommonRangeBoundaries> rbTypeInformation =
TypeExtractor.getForClass(CommonRangeBoundaries.class);
+ UnaryOperatorInformation rbOperatorInformation = new
UnaryOperatorInformation(sourceOutputType, rbTypeInformation);
+ MapPartitionOperatorBase rbOperatorBase = new
MapPartitionOperatorBase(rangeBoundaryBuilder, rbOperatorInformation,
"RangeBoundaryBuilder");
+ MapPartitionNode rbNode= new MapPartitionNode(rbOperatorBase);
+ Channel rbChannel = new Channel(sicPlanNode, TempMode.NONE);
+ rbChannel.setShipStrategy(ShipStrategyType.FORWARD,
channel.getDataExchangeMode());
+ SingleInputPlanNode rbPlanNode = new
SingleInputPlanNode(rbNode, "RangeBoundary PlanNode", rbChannel,
DriverStrategy.MAP_PARTITION);
+ rbPlanNode.setParallelism(1);
+ rbChannel.setTarget(rbPlanNode);
+ sicPlanNode.addOutgoingChannel(rbChannel);
+ this.plan.getAllNodes().add(rbPlanNode);
+
+ // 4. Take range boundaries as broadcast input and take the
tuple of partition id and record as output.
+ AssignRangeIndex assignRangeIndex = new
AssignRangeIndex(comparator);
+ TypeInformation<Tuple2> ariOutputTypeInformation = new
TupleTypeInfo<>(BasicTypeInfo.INT_TYPE_INFO, sourceOutputType);
+ UnaryOperatorInformation ariOperatorInformation = new
UnaryOperatorInformation(sourceOutputType, ariOutputTypeInformation);
+ MapPartitionOperatorBase ariOperatorBase = new
MapPartitionOperatorBase(assignRangeIndex, ariOperatorInformation, "Assign
Range Index");
+ MapPartitionNode ariNode= new MapPartitionNode(ariOperatorBase);
+ Channel ariChannel = new Channel(sourceNode, TempMode.NONE);
+ ariChannel.setShipStrategy(ShipStrategyType.FORWARD,
channel.getDataExchangeMode());
+ SingleInputPlanNode ariPlanNode = new
SingleInputPlanNode(ariNode, "AssignRangeIndex PlanNode", ariChannel,
DriverStrategy.MAP_PARTITION);
+ ariPlanNode.setParallelism(sourceParallelism);
+ ariChannel.setTarget(ariPlanNode);
+ appendOutgoingChannels.add(ariChannel);
+ this.plan.getAllNodes().add(ariPlanNode);
+
+ channel.setSource(ariPlanNode);
+ ariPlanNode.addOutgoingChannel(channel);
+
+ NamedChannel broadcastChannel = new
NamedChannel("RangeBoundaries", rbPlanNode);
+ broadcastChannel.setShipStrategy(ShipStrategyType.BROADCAST,
channel.getDataExchangeMode());
+ broadcastChannel.setTarget(ariPlanNode);
+ List<NamedChannel> broadcastChannels = new ArrayList<>(1);
+ broadcastChannels.add(broadcastChannel);
+ ariPlanNode.setBroadcastInputs(broadcastChannels);
+
+ // 5. Remove the partition id.
+ PartitionIDRemoveWrapper partitionIDRemoveWrapper = new
PartitionIDRemoveWrapper();
--- End diff --
I'm afraid not, here is the currently DAG(in `PlanNode` level) rewrite
logic:
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