Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/1255#discussion_r43955246
--- 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());
--- End diff --
The ship strategy can be set to Forward because the DOP of the node is 1.
That means that all data is sent to the same node (Forward does only imply
local communication if sender DOP = receiver DOP).
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