org.apache.flink.optimizer.traversals.RangePartitionRewriter Maven / Gradle / Ivy
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package org.apache.flink.optimizer.traversals;
import org.apache.flink.api.common.InvalidProgramException;
import org.apache.flink.api.common.distributions.CommonRangeBoundaries;
import org.apache.flink.api.common.operators.Order;
import org.apache.flink.api.common.operators.Ordering;
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.operators.util.FieldList;
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.IdPartitioner;
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.costs.Costs;
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.dataproperties.GlobalProperties;
import org.apache.flink.optimizer.dataproperties.LocalProperties;
import org.apache.flink.optimizer.plan.Channel;
import org.apache.flink.optimizer.plan.IterationPlanNode;
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.io.network.DataExchangeMode;
import org.apache.flink.runtime.operators.DriverStrategy;
import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
import org.apache.flink.runtime.operators.udf.AssignRangeIndex;
import org.apache.flink.runtime.operators.udf.RangeBoundaryBuilder;
import org.apache.flink.runtime.operators.udf.RemoveRangeIndex;
import org.apache.flink.util.Visitor;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
/** */
public class RangePartitionRewriter implements Visitor {
static final long SEED = 0;
static final String SIP_NAME = "RangePartition: LocalSample";
static final String SIC_NAME = "RangePartition: GlobalSample";
static final String RB_NAME = "RangePartition: Histogram";
static final String ARI_NAME = "RangePartition: PreparePartition";
static final String PR_NAME = "RangePartition: Partition";
static final int SAMPLES_PER_PARTITION = 1000;
static final IdPartitioner idPartitioner = new IdPartitioner();
final OptimizedPlan plan;
final Set visitedIterationNodes;
public RangePartitionRewriter(OptimizedPlan plan) {
this.plan = plan;
this.visitedIterationNodes = new HashSet<>();
}
@Override
public boolean preVisit(PlanNode visitable) {
return true;
}
@Override
public void postVisit(PlanNode node) {
if (node instanceof IterationPlanNode) {
IterationPlanNode iNode = (IterationPlanNode) node;
if (!visitedIterationNodes.contains(iNode)) {
visitedIterationNodes.add(iNode);
iNode.acceptForStepFunction(this);
}
}
final Iterable inputChannels = node.getInputs();
for (Channel channel : inputChannels) {
ShipStrategyType shipStrategy = channel.getShipStrategy();
// Make sure we only optimize the DAG for range partition, and do not optimize multi
// times.
if (shipStrategy == ShipStrategyType.PARTITION_RANGE) {
if (channel.getDataDistribution() == null) {
if (node.isOnDynamicPath()) {
throw new InvalidProgramException(
"Range Partitioning not supported within iterations if users do not supply the data distribution.");
}
PlanNode channelSource = channel.getSource();
List newSourceOutputChannels = rewriteRangePartitionChannel(channel);
channelSource.getOutgoingChannels().remove(channel);
channelSource.getOutgoingChannels().addAll(newSourceOutputChannels);
}
}
}
}
private List rewriteRangePartitionChannel(Channel channel) {
final List sourceNewOutputChannels = new ArrayList<>();
final PlanNode sourceNode = channel.getSource();
final PlanNode targetNode = channel.getTarget();
final int sourceParallelism = sourceNode.getParallelism();
final int targetParallelism = targetNode.getParallelism();
final Costs defaultZeroCosts = new Costs(0, 0, 0);
final TypeComparatorFactory comparator =
Utils.getShipComparator(channel, this.plan.getOriginalPlan().getExecutionConfig());
// 1. Fixed size sample in each partitions.
final int sampleSize = SAMPLES_PER_PARTITION * targetParallelism;
final SampleInPartition sampleInPartition = new SampleInPartition(false, sampleSize, SEED);
final TypeInformation sourceOutputType =
sourceNode.getOptimizerNode().getOperator().getOperatorInfo().getOutputType();
final TypeInformation isdTypeInformation =
TypeExtractor.getForClass(IntermediateSampleData.class);
final UnaryOperatorInformation sipOperatorInformation =
new UnaryOperatorInformation(sourceOutputType, isdTypeInformation);
final MapPartitionOperatorBase sipOperatorBase =
new MapPartitionOperatorBase(sampleInPartition, sipOperatorInformation, SIP_NAME);
final MapPartitionNode sipNode = new MapPartitionNode(sipOperatorBase);
final Channel sipChannel = new Channel(sourceNode, TempMode.NONE);
sipChannel.setShipStrategy(ShipStrategyType.FORWARD, DataExchangeMode.PIPELINED);
final SingleInputPlanNode sipPlanNode =
new SingleInputPlanNode(
sipNode, SIP_NAME, sipChannel, DriverStrategy.MAP_PARTITION);
sipNode.setParallelism(sourceParallelism);
sipPlanNode.setParallelism(sourceParallelism);
sipPlanNode.initProperties(new GlobalProperties(), new LocalProperties());
sipPlanNode.setCosts(defaultZeroCosts);
sipChannel.setTarget(sipPlanNode);
this.plan.getAllNodes().add(sipPlanNode);
sourceNewOutputChannels.add(sipChannel);
// 2. Fixed size sample in a single coordinator.
final SampleInCoordinator sampleInCoordinator =
new SampleInCoordinator(false, sampleSize, SEED);
final UnaryOperatorInformation sicOperatorInformation =
new UnaryOperatorInformation(isdTypeInformation, sourceOutputType);
final GroupReduceOperatorBase sicOperatorBase =
new GroupReduceOperatorBase(sampleInCoordinator, sicOperatorInformation, SIC_NAME);
final GroupReduceNode sicNode = new GroupReduceNode(sicOperatorBase);
final Channel sicChannel = new Channel(sipPlanNode, TempMode.NONE);
sicChannel.setShipStrategy(ShipStrategyType.FORWARD, DataExchangeMode.PIPELINED);
final SingleInputPlanNode sicPlanNode =
new SingleInputPlanNode(
sicNode, SIC_NAME, sicChannel, DriverStrategy.ALL_GROUP_REDUCE);
sicNode.setParallelism(1);
sicPlanNode.setParallelism(1);
sicPlanNode.initProperties(new GlobalProperties(), new LocalProperties());
sicPlanNode.setCosts(defaultZeroCosts);
sicChannel.setTarget(sicPlanNode);
sipPlanNode.addOutgoingChannel(sicChannel);
this.plan.getAllNodes().add(sicPlanNode);
// 3. Use sampled data to build range boundaries.
final RangeBoundaryBuilder rangeBoundaryBuilder =
new RangeBoundaryBuilder(comparator, targetParallelism);
final TypeInformation rbTypeInformation =
TypeExtractor.getForClass(CommonRangeBoundaries.class);
final UnaryOperatorInformation rbOperatorInformation =
new UnaryOperatorInformation(sourceOutputType, rbTypeInformation);
final MapPartitionOperatorBase rbOperatorBase =
new MapPartitionOperatorBase(rangeBoundaryBuilder, rbOperatorInformation, RB_NAME);
final MapPartitionNode rbNode = new MapPartitionNode(rbOperatorBase);
final Channel rbChannel = new Channel(sicPlanNode, TempMode.NONE);
rbChannel.setShipStrategy(ShipStrategyType.FORWARD, DataExchangeMode.PIPELINED);
final SingleInputPlanNode rbPlanNode =
new SingleInputPlanNode(rbNode, RB_NAME, rbChannel, DriverStrategy.MAP_PARTITION);
rbNode.setParallelism(1);
rbPlanNode.setParallelism(1);
rbPlanNode.initProperties(new GlobalProperties(), new LocalProperties());
rbPlanNode.setCosts(defaultZeroCosts);
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.
final AssignRangeIndex assignRangeIndex = new AssignRangeIndex(comparator);
final TypeInformation ariOutputTypeInformation =
new TupleTypeInfo<>(BasicTypeInfo.INT_TYPE_INFO, sourceOutputType);
final UnaryOperatorInformation ariOperatorInformation =
new UnaryOperatorInformation(sourceOutputType, ariOutputTypeInformation);
final MapPartitionOperatorBase ariOperatorBase =
new MapPartitionOperatorBase(assignRangeIndex, ariOperatorInformation, ARI_NAME);
final MapPartitionNode ariNode = new MapPartitionNode(ariOperatorBase);
final Channel ariChannel = new Channel(sourceNode, TempMode.NONE);
// To avoid deadlock, set the DataExchangeMode of channel between source node and this to
// Batch.
ariChannel.setShipStrategy(ShipStrategyType.FORWARD, DataExchangeMode.BATCH);
final SingleInputPlanNode ariPlanNode =
new SingleInputPlanNode(
ariNode, ARI_NAME, ariChannel, DriverStrategy.MAP_PARTITION);
ariNode.setParallelism(sourceParallelism);
ariPlanNode.setParallelism(sourceParallelism);
ariPlanNode.initProperties(new GlobalProperties(), new LocalProperties());
ariPlanNode.setCosts(defaultZeroCosts);
ariChannel.setTarget(ariPlanNode);
this.plan.getAllNodes().add(ariPlanNode);
sourceNewOutputChannels.add(ariChannel);
final NamedChannel broadcastChannel = new NamedChannel("RangeBoundaries", rbPlanNode);
broadcastChannel.setShipStrategy(ShipStrategyType.BROADCAST, DataExchangeMode.PIPELINED);
broadcastChannel.setTarget(ariPlanNode);
List broadcastChannels = new ArrayList<>(1);
broadcastChannels.add(broadcastChannel);
ariPlanNode.setBroadcastInputs(broadcastChannels);
// 5. Remove the partition id.
final Channel partChannel = new Channel(ariPlanNode, TempMode.NONE);
final FieldList keys = new FieldList(0);
partChannel.setShipStrategy(
ShipStrategyType.PARTITION_CUSTOM, keys, idPartitioner, DataExchangeMode.PIPELINED);
ariPlanNode.addOutgoingChannel(partChannel);
final RemoveRangeIndex partitionIDRemoveWrapper = new RemoveRangeIndex();
final UnaryOperatorInformation prOperatorInformation =
new UnaryOperatorInformation(ariOutputTypeInformation, sourceOutputType);
final MapOperatorBase prOperatorBase =
new MapOperatorBase(partitionIDRemoveWrapper, prOperatorInformation, PR_NAME);
final MapNode prRemoverNode = new MapNode(prOperatorBase);
final SingleInputPlanNode prPlanNode =
new SingleInputPlanNode(prRemoverNode, PR_NAME, partChannel, DriverStrategy.MAP);
partChannel.setTarget(prPlanNode);
prRemoverNode.setParallelism(targetParallelism);
prPlanNode.setParallelism(targetParallelism);
GlobalProperties globalProperties = new GlobalProperties();
globalProperties.setRangePartitioned(new Ordering(0, null, Order.ASCENDING));
prPlanNode.initProperties(globalProperties, new LocalProperties());
prPlanNode.setCosts(defaultZeroCosts);
this.plan.getAllNodes().add(prPlanNode);
// 6. Connect to target node.
channel.setSource(prPlanNode);
channel.setShipStrategy(ShipStrategyType.FORWARD, DataExchangeMode.PIPELINED);
prPlanNode.addOutgoingChannel(channel);
return sourceNewOutputChannels;
}
}
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