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MSQ: Allow for worker gaps. #17277

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Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,18 @@ public static ReadablePartition striped(final int stageNumber, final int numWork
return new ReadablePartition(stageNumber, workerNumbers, partitionNumber);
}

/**
* Returns an output partition that is striped across a set of {@code workerNumbers}.
*/
public static ReadablePartition striped(
final int stageNumber,
final IntSortedSet workerNumbers,
final int partitionNumber
)
{
return new ReadablePartition(stageNumber, workerNumbers, partitionNumber);
}

/**
* Returns an output partition that has been collected onto a single worker.
*/
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@
import it.unimi.dsi.fastutil.ints.Int2IntAVLTreeMap;
import it.unimi.dsi.fastutil.ints.Int2IntSortedMap;
import it.unimi.dsi.fastutil.ints.IntAVLTreeSet;
import it.unimi.dsi.fastutil.ints.IntSortedSet;

import java.util.Collections;
import java.util.List;
Expand All @@ -39,6 +40,7 @@
@JsonSubTypes(value = {
@JsonSubTypes.Type(name = "collected", value = CollectedReadablePartitions.class),
@JsonSubTypes.Type(name = "striped", value = StripedReadablePartitions.class),
@JsonSubTypes.Type(name = "sparseStriped", value = SparseStripedReadablePartitions.class),
@JsonSubTypes.Type(name = "combined", value = CombinedReadablePartitions.class)
})
public interface ReadablePartitions extends Iterable<ReadablePartition>
Expand All @@ -59,7 +61,7 @@ static ReadablePartitions empty()
/**
* Combines various sets of partitions into a single set.
*/
static CombinedReadablePartitions combine(List<ReadablePartitions> readablePartitions)
static ReadablePartitions combine(List<ReadablePartitions> readablePartitions)
{
return new CombinedReadablePartitions(readablePartitions);
}
Expand All @@ -68,7 +70,7 @@ static CombinedReadablePartitions combine(List<ReadablePartitions> readableParti
* Returns a set of {@code numPartitions} partitions striped across {@code numWorkers} workers: each worker contains
* a "stripe" of each partition.
*/
static StripedReadablePartitions striped(
static ReadablePartitions striped(
final int stageNumber,
final int numWorkers,
final int numPartitions
Expand All @@ -82,11 +84,36 @@ static StripedReadablePartitions striped(
return new StripedReadablePartitions(stageNumber, numWorkers, partitionNumbers);
}

/**
* Returns a set of {@code numPartitions} partitions striped across {@code workers}: each worker contains
* a "stripe" of each partition.
*/
static ReadablePartitions striped(
final int stageNumber,
final IntSortedSet workers,
final int numPartitions
)
{
final IntAVLTreeSet partitionNumbers = new IntAVLTreeSet();
for (int i = 0; i < numPartitions; i++) {
partitionNumbers.add(i);
}

if (workers.lastInt() == workers.size() - 1) {
// Dense worker set. Use StripedReadablePartitions for compactness (send a single number rather than the
// entire worker set) and for backwards compatibility (older workers cannot understand
// SparseStripedReadablePartitions).
return new StripedReadablePartitions(stageNumber, workers.size(), partitionNumbers);
} else {
return new SparseStripedReadablePartitions(stageNumber, workers, partitionNumbers);
}
}

/**
* Returns a set of partitions that have been collected onto specific workers: each partition is on exactly
* one worker.
*/
static CollectedReadablePartitions collected(
static ReadablePartitions collected(
final int stageNumber,
final Map<Integer, Integer> partitionToWorkerMap
)
Expand Down
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minor nit: Naming

Per my understanding, sparse means that there are pieces missing from the middle. Something like 2..10 would not be sparse, however, would be created as a "sparse" striped partitions. Maybe something like SpecificStripedReadablePartitions which clarifies that the workers are explicitly specified? This is not a blocker.

Original file line number Diff line number Diff line change
@@ -0,0 +1,142 @@
/*
* 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.druid.msq.input.stage;

import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.collect.Iterators;
import it.unimi.dsi.fastutil.ints.IntAVLTreeSet;
import it.unimi.dsi.fastutil.ints.IntSortedSet;
import org.apache.druid.msq.input.SlicerUtils;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Objects;
import java.util.Set;

/**
* Set of partitions striped across a sparse set of {@code workers}. Each worker contains a "stripe" of each partition.
*
* @see StripedReadablePartitions dense version, where workers from [0..N) are all used.
*/
public class SparseStripedReadablePartitions implements ReadablePartitions
{
private final int stageNumber;
private final IntSortedSet workers;
private final IntSortedSet partitionNumbers;

/**
* Constructor. Most callers should use {@link ReadablePartitions#striped(int, int, int)} instead, which takes
* a partition count rather than a set of partition numbers.
*/
public SparseStripedReadablePartitions(
final int stageNumber,
final IntSortedSet workers,
final IntSortedSet partitionNumbers
)
{
this.stageNumber = stageNumber;
this.workers = workers;
this.partitionNumbers = partitionNumbers;
}

@JsonCreator
private SparseStripedReadablePartitions(
@JsonProperty("stageNumber") final int stageNumber,
@JsonProperty("workers") final Set<Integer> workers,
@JsonProperty("partitionNumbers") final Set<Integer> partitionNumbers
)
{
this(stageNumber, new IntAVLTreeSet(workers), new IntAVLTreeSet(partitionNumbers));
}

@Override
public Iterator<ReadablePartition> iterator()
{
return Iterators.transform(
partitionNumbers.iterator(),
partitionNumber -> ReadablePartition.striped(stageNumber, workers, partitionNumber)
);
}

@Override
public List<ReadablePartitions> split(final int maxNumSplits)
{
final List<ReadablePartitions> retVal = new ArrayList<>();

for (List<Integer> entries : SlicerUtils.makeSlicesStatic(partitionNumbers.iterator(), maxNumSplits)) {
if (!entries.isEmpty()) {
retVal.add(new SparseStripedReadablePartitions(stageNumber, workers, new IntAVLTreeSet(entries)));
}
}

return retVal;
}

@JsonProperty
int getStageNumber()
{
return stageNumber;
}

@JsonProperty
IntSortedSet getWorkers()
{
return workers;
}

@JsonProperty
IntSortedSet getPartitionNumbers()
{
return partitionNumbers;
}

@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
SparseStripedReadablePartitions that = (SparseStripedReadablePartitions) o;
return stageNumber == that.stageNumber
&& Objects.equals(workers, that.workers)
&& Objects.equals(partitionNumbers, that.partitionNumbers);
}

@Override
public int hashCode()
{
return Objects.hash(stageNumber, workers, partitionNumbers);
}

@Override
public String toString()
{
return "StripedReadablePartitions{" +
"stageNumber=" + stageNumber +
", workers=" + workers +
", partitionNumbers=" + partitionNumbers +
'}';
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -403,7 +403,7 @@ void addPartialKeyInformationForWorker(
throw new ISE("Stage does not gather result key statistics");
}

if (workerNumber < 0 || workerNumber >= workerCount) {
if (!workerInputs.workers().contains(workerNumber)) {
throw new IAE("Invalid workerNumber [%s]", workerNumber);
}

Expand Down Expand Up @@ -522,7 +522,7 @@ void mergeClusterByStatisticsCollectorForTimeChunk(
throw new ISE("Stage does not gather result key statistics");
}

if (workerNumber < 0 || workerNumber >= workerCount) {
if (!workerInputs.workers().contains(workerNumber)) {
throw new IAE("Invalid workerNumber [%s]", workerNumber);
}

Expand Down Expand Up @@ -656,7 +656,7 @@ void mergeClusterByStatisticsCollectorForAllTimeChunks(
throw new ISE("Stage does not gather result key statistics");
}

if (workerNumber < 0 || workerNumber >= workerCount) {
if (!workerInputs.workers().contains(workerNumber)) {
throw new IAE("Invalid workerNumber [%s]", workerNumber);
}

Expand Down Expand Up @@ -763,7 +763,7 @@ void setClusterByPartitionBoundaries(ClusterByPartitions clusterByPartitions)
this.resultPartitionBoundaries = clusterByPartitions;
this.resultPartitions = ReadablePartitions.striped(
stageDef.getStageNumber(),
workerCount,
workerInputs.workers(),
clusterByPartitions.size()
);

Expand All @@ -788,7 +788,7 @@ void setDoneReadingInputForWorker(final int workerNumber)
throw DruidException.defensive("Cannot setDoneReadingInput for stage[%s], it is not sorting", stageDef.getId());
}

if (workerNumber < 0 || workerNumber >= workerCount) {
if (!workerInputs.workers().contains(workerNumber)) {
throw new IAE("Invalid workerNumber[%s] for stage[%s]", workerNumber, stageDef.getId());
}

Expand Down Expand Up @@ -830,7 +830,7 @@ void setDoneReadingInputForWorker(final int workerNumber)
@SuppressWarnings("unchecked")
boolean setResultsCompleteForWorker(final int workerNumber, final Object resultObject)
{
if (workerNumber < 0 || workerNumber >= workerCount) {
if (!workerInputs.workers().contains(workerNumber)) {
throw new IAE("Invalid workerNumber [%s]", workerNumber);
}

Expand Down Expand Up @@ -947,14 +947,18 @@ private void generateResultPartitionsAndBoundariesWithoutKeyStatistics()
resultPartitionBoundaries = maybeResultPartitionBoundaries.valueOrThrow();
resultPartitions = ReadablePartitions.striped(
stageNumber,
workerCount,
workerInputs.workers(),
resultPartitionBoundaries.size()
);
} else if (shuffleSpec.kind() == ShuffleKind.MIX) {
resultPartitionBoundaries = ClusterByPartitions.oneUniversalPartition();
resultPartitions = ReadablePartitions.striped(stageNumber, workerCount, shuffleSpec.partitionCount());
} else {
resultPartitions = ReadablePartitions.striped(stageNumber, workerCount, shuffleSpec.partitionCount());
if (shuffleSpec.kind() == ShuffleKind.MIX) {
resultPartitionBoundaries = ClusterByPartitions.oneUniversalPartition();
}
resultPartitions = ReadablePartitions.striped(
stageNumber,
workerInputs.workers(),
shuffleSpec.partitionCount()
);
}
} else {
// No reshuffling: retain partitioning from nonbroadcast inputs.
Expand Down
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