mirror of https://github.com/apache/druid.git
Merge pull request #1563 from metamx/simplify-sequence-merging
simplify merging of results on broker
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commit
4195deb41b
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@ -0,0 +1,118 @@
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package io.druid.benchmark;
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import com.google.common.collect.Lists;
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import com.google.common.collect.Ordering;
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import com.google.common.primitives.Ints;
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import com.metamx.common.guava.Accumulator;
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import com.metamx.common.guava.MergeSequence;
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import com.metamx.common.guava.Sequence;
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import com.metamx.common.guava.Sequences;
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import java.util.ArrayList;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Random;
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import java.util.concurrent.TimeUnit;
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import org.openjdk.jmh.annotations.Benchmark;
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import org.openjdk.jmh.annotations.BenchmarkMode;
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import org.openjdk.jmh.annotations.Mode;
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import org.openjdk.jmh.annotations.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Param;
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import org.openjdk.jmh.annotations.Scope;
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import org.openjdk.jmh.annotations.Setup;
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import org.openjdk.jmh.annotations.State;
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import org.openjdk.jmh.infra.Blackhole;
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@State(Scope.Benchmark)
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public class MergeSequenceBenchmark
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{
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// Number of Sequences to Merge
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@Param({"1000"})
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int count;
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// Number of elements in each sequence
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@Param({"1000", "10000"})
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int sequenceLength;
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// Number of sequences to merge at once
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@Param({"10", "100"})
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int mergeAtOnce;
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private List<Sequence<Integer>> sequences;
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@Setup
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public void setup()
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{
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Random rand = new Random(0);
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sequences = Lists.newArrayList();
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for (int i = 0; i < count; i++) {
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int[] sequence = new int[sequenceLength];
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for (int j = 0; j < sequenceLength; j++) {
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sequence[j] = rand.nextInt();
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}
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sequences.add(Sequences.simple(Ints.asList(sequence)));
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}
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}
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@Benchmark
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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public void mergeHierarchical(Blackhole blackhole)
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{
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Iterator<Sequence<Integer>> iterator = sequences.iterator();
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List<Sequence<Integer>> partialMerged = new ArrayList<Sequence<Integer>>();
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List<Sequence<Integer>> toMerge = new ArrayList<Sequence<Integer>>();
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while (iterator.hasNext()) {
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toMerge.add(iterator.next());
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if (toMerge.size() == mergeAtOnce) {
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partialMerged.add(new MergeSequence<Integer>(Ordering.<Integer>natural(), Sequences.simple(toMerge)));
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toMerge = new ArrayList<Sequence<Integer>>();
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}
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}
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if (!toMerge.isEmpty()) {
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partialMerged.add(new MergeSequence<Integer>(Ordering.<Integer>natural(), Sequences.simple(toMerge)));
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}
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MergeSequence<Integer> mergeSequence = new MergeSequence(
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Ordering.<Integer>natural(),
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Sequences.simple(partialMerged)
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);
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Integer accumulate = mergeSequence.accumulate(
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0, new Accumulator<Integer, Integer>()
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{
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@Override
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public Integer accumulate(Integer accumulated, Integer in)
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{
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return accumulated + in;
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}
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}
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);
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blackhole.consume(accumulate);
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}
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@Benchmark
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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public void mergeFlat(final Blackhole blackhole)
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{
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MergeSequence<Integer> mergeSequence = new MergeSequence(Ordering.<Integer>natural(), Sequences.simple(sequences));
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Integer accumulate = mergeSequence.accumulate(
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0, new Accumulator<Integer, Integer>()
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{
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@Override
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public Integer accumulate(Integer accumulated, Integer in)
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{
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return accumulated + in;
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}
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}
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);
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blackhole.consume(accumulate);
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}
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}
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@ -27,7 +27,6 @@ import com.google.common.collect.Iterables;
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import com.google.common.collect.Iterators;
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import com.google.common.collect.Lists;
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import com.google.common.collect.Maps;
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import com.google.common.collect.Ordering;
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import com.google.common.collect.Sets;
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import com.google.common.util.concurrent.FutureCallback;
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import com.google.common.util.concurrent.Futures;
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@ -37,7 +36,6 @@ import com.google.common.util.concurrent.MoreExecutors;
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import com.google.inject.Inject;
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import com.metamx.common.Pair;
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import com.metamx.common.guava.BaseSequence;
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import com.metamx.common.guava.Comparators;
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import com.metamx.common.guava.LazySequence;
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import com.metamx.common.guava.Sequence;
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import com.metamx.common.guava.Sequences;
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@ -64,11 +62,8 @@ import io.druid.timeline.DataSegment;
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import io.druid.timeline.TimelineLookup;
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import io.druid.timeline.TimelineObjectHolder;
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import io.druid.timeline.partition.PartitionChunk;
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import org.joda.time.Interval;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Map;
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@ -77,6 +72,7 @@ import java.util.Set;
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import java.util.concurrent.Callable;
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import java.util.concurrent.ConcurrentLinkedQueue;
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import java.util.concurrent.ExecutorService;
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import org.joda.time.Interval;
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/**
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*/
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@ -491,36 +487,21 @@ public class CachingClusteredClient<T> implements QueryRunner<T>
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return Sequences.empty();
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}
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Collections.sort(
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return toolChest.mergeSequencesUnordered(
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Sequences.simple(
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Lists.transform(
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sequencesByInterval,
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Ordering.from(Comparators.intervalsByStartThenEnd()).onResultOf(Pair.<Interval, Sequence<T>>lhsFn())
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new Function<Pair<Interval, Sequence<T>>, Sequence<T>>()
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{
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@Override
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public Sequence<T> apply(Pair<Interval, Sequence<T>> input)
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{
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return input.rhs;
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}
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}
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)
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)
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);
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// result sequences from overlapping intervals could start anywhere within that interval
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// therefore we cannot assume any ordering with respect to the first result from each
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// and must resort to calling toolchest.mergeSequencesUnordered for those.
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Iterator<Pair<Interval, Sequence<T>>> iterator = sequencesByInterval.iterator();
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Pair<Interval, Sequence<T>> current = iterator.next();
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final List<Sequence<T>> orderedSequences = Lists.newLinkedList();
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List<Sequence<T>> unordered = Lists.newLinkedList();
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unordered.add(current.rhs);
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while (iterator.hasNext()) {
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Pair<Interval, Sequence<T>> next = iterator.next();
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if (!next.lhs.overlaps(current.lhs)) {
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orderedSequences.add(toolChest.mergeSequencesUnordered(Sequences.simple(unordered)));
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unordered = Lists.newLinkedList();
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}
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unordered.add(next.rhs);
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current = next;
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}
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if (!unordered.isEmpty()) {
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orderedSequences.add(toolChest.mergeSequencesUnordered(Sequences.simple(unordered)));
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}
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return toolChest.mergeSequencesUnordered(Sequences.simple(orderedSequences));
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}
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private static class CachePopulator
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