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ASF GitHub Bot commented on FLINK-7: ------------------------------------ Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/1255#discussion_r43954968 --- 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); --- End diff -- I would not adapt the given channel but completely replace it. In that case you also do not need to add the `setSource` method to `Channel`. > [GitHub] Enable Range Partitioner > --------------------------------- > > Key: FLINK-7 > URL: https://issues.apache.org/jira/browse/FLINK-7 > Project: Flink > Issue Type: Sub-task > Components: Distributed Runtime > Reporter: GitHub Import > Assignee: Chengxiang Li > Fix For: pre-apache > > > The range partitioner is currently disabled. We need to implement the > following aspects: > 1) Distribution information, if available, must be propagated back together > with the ordering property. > 2) A generic bucket lookup structure (currently specific to PactRecord). > Tests to re-enable after fixing this issue: > - TeraSortITCase > - GlobalSortingITCase > - GlobalSortingMixedOrderITCase > ---------------- Imported from GitHub ---------------- > Url: https://github.com/stratosphere/stratosphere/issues/7 > Created by: [StephanEwen|https://github.com/StephanEwen] > Labels: core, enhancement, optimizer, > Milestone: Release 0.4 > Assignee: [fhueske|https://github.com/fhueske] > Created at: Fri Apr 26 13:48:24 CEST 2013 > State: open -- This message was sent by Atlassian JIRA (v6.3.4#6332)