mirror of https://github.com/apache/druid.git
Add better concurrency testing to IncrementalIndexTest
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parent
9705c5139b
commit
6e1eb3b7fe
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@ -20,11 +20,14 @@ package io.druid.segment.data;
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import com.google.common.base.Throwables;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableMap;
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import com.google.common.collect.Lists;
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import com.google.common.util.concurrent.Futures;
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import com.google.common.util.concurrent.ListenableFuture;
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import com.google.common.util.concurrent.ListeningExecutorService;
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import com.google.common.util.concurrent.MoreExecutors;
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import com.google.common.util.concurrent.ThreadFactoryBuilder;
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import com.metamx.common.guava.Accumulator;
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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 io.druid.data.input.MapBasedInputRow;
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import io.druid.data.input.Row;
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@ -74,7 +77,6 @@ import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.concurrent.atomic.AtomicInteger;
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/**
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@ -217,7 +219,7 @@ public class IncrementalIndexTest
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Assert.assertEquals(Arrays.asList("4"), row.getDimension("dim2"));
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}
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@Test(timeout = 60000)
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@Test(timeout = 60_000L)
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public void testConcurrentAddRead() throws InterruptedException, ExecutionException
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{
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final int dimensionCount = 5;
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@ -257,9 +259,8 @@ public class IncrementalIndexTest
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final IncrementalIndex index = indexCreator.createIndex(ingestAggregatorFactories.toArray(new AggregatorFactory[dimensionCount]));
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final int taskCount = 30;
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final int concurrentThreads = 3;
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final int elementsPerThread = 100;
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final int concurrentThreads = 2;
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final int elementsPerThread = 10_000;
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final ListeningExecutorService indexExecutor = MoreExecutors.listeningDecorator(
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Executors.newFixedThreadPool(
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concurrentThreads,
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@ -281,8 +282,8 @@ public class IncrementalIndexTest
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);
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final long timestamp = System.currentTimeMillis();
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final Interval queryInterval = new Interval("1900-01-01T00:00:00Z/2900-01-01T00:00:00Z");
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final List<ListenableFuture<?>> indexFutures = new LinkedList<>();
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final List<ListenableFuture<?>> queryFutures = new LinkedList<>();
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final List<ListenableFuture<?>> indexFutures = Lists.newArrayListWithExpectedSize(concurrentThreads);
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final List<ListenableFuture<?>> queryFutures = Lists.newArrayListWithExpectedSize(concurrentThreads);
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final Segment incrementalIndexSegment = new IncrementalIndexSegment(index, null);
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final QueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(
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new TimeseriesQueryQueryToolChest(QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator()),
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@ -290,100 +291,115 @@ public class IncrementalIndexTest
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QueryRunnerTestHelper.NOOP_QUERYWATCHER
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);
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final AtomicInteger currentlyRunning = new AtomicInteger(0);
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final AtomicBoolean concurrentlyRan = new AtomicBoolean(false);
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final AtomicInteger concurrentlyRan = new AtomicInteger(0);
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final AtomicInteger someoneRan = new AtomicInteger(0);
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final CountDownLatch startLatch = new CountDownLatch(1);
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try {
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for (int j = 0; j < taskCount; j++) {
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indexFutures.add(
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indexExecutor.submit(
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new Runnable()
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final CountDownLatch readyLatch = new CountDownLatch(concurrentThreads * 2);
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final AtomicInteger queriesAccumualted = new AtomicInteger(0);
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for (int j = 0; j < concurrentThreads; j++) {
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indexFutures.add(
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indexExecutor.submit(
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new Runnable()
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{
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@Override
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public void run()
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{
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@Override
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public void run()
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{
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try {
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startLatch.await();
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}
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catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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throw Throwables.propagate(e);
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}
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currentlyRunning.incrementAndGet();
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try {
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for (int i = 0; i < elementsPerThread; i++) {
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someoneRan.incrementAndGet();
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index.add(getLongRow(timestamp + i, i, dimensionCount));
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}
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}
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catch (IndexSizeExceededException e) {
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throw Throwables.propagate(e);
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}
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currentlyRunning.decrementAndGet();
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readyLatch.countDown();
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try {
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startLatch.await();
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}
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catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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throw Throwables.propagate(e);
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}
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currentlyRunning.incrementAndGet();
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try {
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for (int i = 0; i < elementsPerThread; i++) {
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index.add(getLongRow(timestamp + i, i, dimensionCount));
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someoneRan.incrementAndGet();
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}
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}
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catch (IndexSizeExceededException e) {
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throw Throwables.propagate(e);
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}
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currentlyRunning.decrementAndGet();
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}
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)
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);
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}
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)
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);
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final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder()
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.dataSource("xxx")
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.granularity(QueryGranularity.ALL)
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.intervals(ImmutableList.of(queryInterval))
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.aggregators(queryAggregatorFactories)
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.build();
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queryFutures.add(
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queryExecutor.submit(
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new Runnable()
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final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder()
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.dataSource("xxx")
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.granularity(QueryGranularity.ALL)
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.intervals(ImmutableList.of(queryInterval))
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.aggregators(queryAggregatorFactories)
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.build();
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queryFutures.add(
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queryExecutor.submit(
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new Runnable()
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{
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@Override
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public void run()
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{
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@Override
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public void run()
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{
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try {
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startLatch.await();
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}
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catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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throw Throwables.propagate(e);
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}
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readyLatch.countDown();
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try {
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startLatch.await();
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}
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catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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throw Throwables.propagate(e);
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}
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while (concurrentlyRan.get() == 0) {
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QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(
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factory.createRunner(incrementalIndexSegment),
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factory.getToolchest()
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);
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Map<String, Object> context = new HashMap<String, Object>();
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for (Result<TimeseriesResultValue> result :
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Sequences.toList(
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runner.run(query, context),
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new LinkedList<Result<TimeseriesResultValue>>()
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Sequence<Result<TimeseriesResultValue>> sequence = runner.run(query, context);
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for (Double result :
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sequence.accumulate(
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new Double[0], new Accumulator<Double[], Result<TimeseriesResultValue>>()
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{
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@Override
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public Double[] accumulate(
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Double[] accumulated, Result<TimeseriesResultValue> in
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)
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{
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if (currentlyRunning.get() > 0) {
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concurrentlyRan.incrementAndGet();
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}
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queriesAccumualted.incrementAndGet();
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return Lists.asList(in.getValue().getDoubleMetric("doubleSumResult0"), accumulated)
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.toArray(new Double[accumulated.length + 1]);
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}
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}
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)
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) {
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final Integer ranCount = someoneRan.get();
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if (ranCount > 0) {
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final Double sumResult = result.getValue().getDoubleMetric("doubleSumResult0");
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// Eventually consistent, but should be somewhere in that range
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// Actual result is validated after all writes are guaranteed done.
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Assert.assertTrue(
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String.format("%d >= %g >= 0 violated", ranCount, sumResult),
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sumResult >= 0 && sumResult <= ranCount
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String.format("%d >= %g >= 0 violated", ranCount, result),
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result >= 0 && result <= ranCount
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);
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}
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if (currentlyRunning.get() > 0) {
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concurrentlyRan.set(true);
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}
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}
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}
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}
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)
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);
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}
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}
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finally {
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startLatch.countDown();
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}
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)
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);
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}
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readyLatch.await();
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startLatch.countDown();
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List<ListenableFuture<?>> allFutures = new ArrayList<>(queryFutures.size() + indexFutures.size());
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allFutures.addAll(queryFutures);
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allFutures.addAll(indexFutures);
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Futures.allAsList(allFutures).get();
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Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get());
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Assert.assertTrue("Queries ran too fast", queriesAccumualted.get() > 0);
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Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get() > 0);
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queryExecutor.shutdown();
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indexExecutor.shutdown();
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QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(
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@ -406,12 +422,12 @@ public class IncrementalIndexTest
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for (int i = 0; i < dimensionCount; ++i) {
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Assert.assertEquals(
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String.format("Failed long sum on dimension %d", i),
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elementsPerThread * taskCount,
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elementsPerThread * concurrentThreads,
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result.getValue().getLongMetric(String.format("sumResult%s", i)).intValue()
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);
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Assert.assertEquals(
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String.format("Failed double sum on dimension %d", i),
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elementsPerThread * taskCount,
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elementsPerThread * concurrentThreads,
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result.getValue().getDoubleMetric(String.format("doubleSumResult%s", i)).intValue()
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);
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}
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