[TEST] Fix for benchmark tests
- Fix bug where repeatedly calling computeSummaryStatistics() could accumulate some values incorrectly - Fix check for number of responsive nodes on list is <= number of candidate benchmark nodes - Add public getters for summary statistics - Add javadoc for new getters - Add javadoc comments about API use - Improve abort and status tests by calling awaitBusy() to wait for jobs to be completely submitted before testing them
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48879752a2
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@ -76,12 +76,12 @@ public class BenchmarkExecutor {
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BenchmarkState state = activeBenchmarks.get(benchmarkName);
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if (state == null) {
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throw new ElasticsearchException("Benchmark [" + benchmarkName + "] not found");
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throw new BenchmarkMissingException("Benchmark [" + benchmarkName + "] not found on [" + nodeName() + "]");
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}
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state.semaphore.stop();
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activeBenchmarks = ImmutableOpenMap.builder(activeBenchmarks).fRemove(benchmarkName).build();
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logger.debug("Aborted benchmark [{}]", benchmarkName);
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return new AbortBenchmarkNodeResponse(benchmarkName, nodeName);
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logger.debug("Aborted benchmark [{}] on [{}]", benchmarkName, nodeName());
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return new AbortBenchmarkNodeResponse(benchmarkName, nodeName());
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}
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/**
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@ -99,6 +99,8 @@ public class BenchmarkExecutor {
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BenchmarkState state = activeBenchmarks.get(id);
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response.addBenchResponse(state.response);
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}
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logger.debug("Reporting [{}] active benchmarks on [{}]", response.activeBenchmarks(), nodeName());
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return response;
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}
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@ -115,13 +117,9 @@ public class BenchmarkExecutor {
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final Map<String, CompetitionResult> competitionResults = new HashMap<String, CompetitionResult>();
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final BenchmarkResponse benchmarkResponse = new BenchmarkResponse(request.benchmarkName(), competitionResults);
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if (this.nodeName == null) {
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this.nodeName = clusterService.localNode().name();
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}
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synchronized (lock) {
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if (activeBenchmarks.containsKey(request.benchmarkName())) {
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throw new ElasticsearchException("Benchmark with id [" + request.benchmarkName() + "] is already running");
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throw new ElasticsearchException("Benchmark [" + request.benchmarkName() + "] is already running on [" + nodeName() + "]");
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}
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activeBenchmarks = ImmutableOpenMap.builder(activeBenchmarks).fPut(
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@ -133,13 +131,14 @@ public class BenchmarkExecutor {
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final BenchmarkSettings settings = competitor.settings();
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final int iterations = settings.iterations();
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logger.debug("Executing [{}] iterations for benchmark [{}][{}] ", iterations, request.benchmarkName(), competitor.name());
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logger.debug("Executing [iterations: {}] [multiplier: {}] for [{}] on [{}]",
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iterations, settings.multiplier(), request.benchmarkName(), nodeName());
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final List<CompetitionIteration> competitionIterations = new ArrayList<>(iterations);
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final CompetitionResult competitionResult =
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new CompetitionResult(competitor.name(), settings.concurrency(), settings.multiplier(), request.percentiles());
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final CompetitionNodeResult competitionNodeResult =
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new CompetitionNodeResult(competitor.name(), nodeName, iterations, competitionIterations);
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new CompetitionNodeResult(competitor.name(), nodeName(), iterations, competitionIterations);
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competitionResult.addCompetitionNodeResult(competitionNodeResult);
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benchmarkResponse.competitionResults.put(competitor.name(), competitionResult);
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@ -244,9 +243,6 @@ public class BenchmarkExecutor {
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throw new BenchmarkExecutionException("Too many execution failures", errorMessages);
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}
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assert assertBuckets(timeBuckets); // make sure they are all set
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assert assertBuckets(docBuckets); // make sure they are all set
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final long totalTime = TimeUnit.MILLISECONDS.convert(afterRun - beforeRun, TimeUnit.NANOSECONDS);
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CompetitionIterationData iterationData = new CompetitionIterationData(timeBuckets);
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@ -260,7 +256,6 @@ public class BenchmarkExecutor {
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CompetitionIteration round =
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new CompetitionIteration(topN, totalTime, timeBuckets.length, sumDocs, iterationData);
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return round;
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}
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@ -419,6 +414,13 @@ public class BenchmarkExecutor {
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}
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}
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private String nodeName() {
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if (nodeName == null) {
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nodeName = clusterService.localNode().name();
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}
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return nodeName;
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}
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private final boolean assertBuckets(long[] buckets) {
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for (int i = 0; i < buckets.length; i++) {
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assert buckets[i] >= 0 : "Bucket value was negative: " + buckets[i] + " bucket id: " + i;
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@ -19,14 +19,30 @@
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package org.elasticsearch.action.bench;
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import org.elasticsearch.common.inject.AbstractModule;
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import org.elasticsearch.common.settings.Settings;
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/**
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* Benchmark module
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*/
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public class BenchmarkModule extends AbstractModule {
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private final Settings settings;
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public static final String BENCHMARK_SERVICE_KEY = "benchmark.service.impl";
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public BenchmarkModule(Settings settings) {
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this.settings = settings;
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}
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@Override
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protected void configure() {
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final Class<? extends BenchmarkService> service = settings.getAsClass(BENCHMARK_SERVICE_KEY, BenchmarkService.class);
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if (!BenchmarkService.class.equals(service)) {
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bind(BenchmarkService.class).to(service).asEagerSingleton();
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} else {
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bind(BenchmarkService.class).asEagerSingleton();
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}
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}
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}
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@ -56,7 +56,7 @@ public class BenchmarkService extends AbstractLifecycleComponent<BenchmarkServic
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private final ThreadPool threadPool;
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private final ClusterService clusterService;
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private final TransportService transportService;
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private final BenchmarkExecutor executor;
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protected final BenchmarkExecutor executor;
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/**
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* Constructs a service component for running benchmarks
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@ -463,6 +463,7 @@ public class BenchmarkService extends AbstractLifecycleComponent<BenchmarkServic
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@Override
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protected void sendResponse() {
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int activeBenchmarks = 0;
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BenchmarkStatusResponse consolidatedResponse = new BenchmarkStatusResponse();
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Map<String, List<BenchmarkResponse>> nameNodeResponseMap = new HashMap<>();
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@ -476,6 +477,7 @@ public class BenchmarkService extends AbstractLifecycleComponent<BenchmarkServic
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}
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benchmarkResponses.add(benchmarkResponse);
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}
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activeBenchmarks += nodeResponse.activeBenchmarks();
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}
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for (Map.Entry<String, List<BenchmarkResponse>> entry : nameNodeResponseMap.entrySet()) {
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@ -483,6 +485,7 @@ public class BenchmarkService extends AbstractLifecycleComponent<BenchmarkServic
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consolidatedResponse.addBenchResponse(consolidated);
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}
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consolidatedResponse.totalActiveBenchmarks(activeBenchmarks);
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listener.onResponse(consolidatedResponse);
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}
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}
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@ -40,7 +40,7 @@ public class BenchmarkStatusNodeResponse extends ActionResponse implements Strea
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private List<BenchmarkResponse> benchmarkResponses;
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public BenchmarkStatusNodeResponse() {
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benchmarkResponses = new ArrayList<BenchmarkResponse>();
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benchmarkResponses = new ArrayList<>();
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}
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public void nodeName(String nodeName) {
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@ -59,6 +59,10 @@ public class BenchmarkStatusNodeResponse extends ActionResponse implements Strea
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return benchmarkResponses;
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}
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public int activeBenchmarks() {
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return benchResponses().size();
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.field("node", nodeName);
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@ -35,6 +35,7 @@ import java.util.ArrayList;
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*/
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public class BenchmarkStatusResponse extends ActionResponse implements Streamable, ToXContent {
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private int totalActiveBenchmarks = 0;
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private final List<BenchmarkResponse> benchmarkResponses = new ArrayList<>();
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public BenchmarkStatusResponse() { }
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@ -47,6 +48,14 @@ public class BenchmarkStatusResponse extends ActionResponse implements Streamabl
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return benchmarkResponses;
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}
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public void totalActiveBenchmarks(int totalActiveBenchmarks) {
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this.totalActiveBenchmarks = totalActiveBenchmarks;
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}
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public int totalActiveBenchmarks() {
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return totalActiveBenchmarks;
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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@ -66,6 +75,7 @@ public class BenchmarkStatusResponse extends ActionResponse implements Streamabl
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@Override
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public void readFrom(StreamInput in) throws IOException {
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super.readFrom(in);
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totalActiveBenchmarks = in.readVInt();
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int size = in.readVInt();
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for (int i = 0; i < size; i++) {
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BenchmarkResponse br = new BenchmarkResponse();
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@ -77,6 +87,7 @@ public class BenchmarkStatusResponse extends ActionResponse implements Streamabl
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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super.writeTo(out);
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out.writeVInt(totalActiveBenchmarks);
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out.writeVInt(benchmarkResponses.size());
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for (BenchmarkResponse br : benchmarkResponses) {
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br.writeTo(out);
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@ -184,7 +184,7 @@ public final class InternalNode implements Node {
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modules.add(new ResourceWatcherModule());
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modules.add(new RepositoriesModule());
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modules.add(new TribeModule());
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modules.add(new BenchmarkModule());
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modules.add(new BenchmarkModule(settings));
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injector = modules.createInjector();
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@ -18,8 +18,8 @@
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*/
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package org.elasticsearch.action.bench;
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import org.apache.lucene.util.LuceneTestCase;
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import org.elasticsearch.action.ActionListener;
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import com.google.common.base.Predicate;
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import org.elasticsearch.action.ActionFuture;
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import org.elasticsearch.action.index.IndexRequestBuilder;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.test.ElasticsearchIntegrationTest;
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@ -33,11 +33,8 @@ import org.junit.Test;
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import java.math.BigDecimal;
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import java.math.RoundingMode;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.TimeUnit;
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import static org.hamcrest.Matchers.*;
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@ -57,7 +54,7 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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private static final int MAX_DOC_COUNT = 1000;
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private static final TimeUnit TIME_UNIT = TimeUnit.SECONDS;
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private static final long TIMEOUT = 10;
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private static final long TIMEOUT = 20;
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private int numExecutorNodes = 0;
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private Map<String, BenchmarkSettings> competitionSettingsMap;
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@ -67,6 +64,15 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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return ImmutableSettings.builder().put("node.bench", true).build();
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}
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private final Predicate<Object> statusPredicate = new Predicate<Object>() {
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@Override
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public boolean apply(Object input) {
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final BenchmarkStatusResponse status = client().prepareBenchStatus().execute().actionGet();
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// We expect to have one active benchmark on each node
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return (status.totalActiveBenchmarks() == numExecutorNodes);
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}
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};
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@Before
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public void beforeBenchmarkIntegrationTests() throws Exception {
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numExecutorNodes = cluster().size();
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@ -76,7 +82,6 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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}
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@Test
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@LuceneTestCase.AwaitsFix(bugUrl = "https://github.com/elasticsearch/elasticsearch/issues/6094")
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public void testSubmitBenchmark() throws Exception {
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final BenchmarkRequest request =
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@ -101,33 +106,20 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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public void testListBenchmarks() throws Exception {
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final BenchmarkRequest request =
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BenchmarkTestUtil.randomRequest(client(), indices, numExecutorNodes, competitionSettingsMap);
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BenchmarkTestUtil.randomRequest(client(), indices, numExecutorNodes, competitionSettingsMap,
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BenchmarkTestUtil.MIN_LARGE_INTERVAL, BenchmarkTestUtil.MAX_LARGE_INTERVAL);
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logger.info("--> Submitting benchmark - competitors [{}] iterations [{}]", request.competitors().size(),
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request.settings().iterations());
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final CountDownLatch countdown = new CountDownLatch(1);
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final List<Throwable> throwables = new ArrayList<>();
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client().bench(request);
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client().bench(request, new ActionListener<BenchmarkResponse>() {
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@Override
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public void onResponse(BenchmarkResponse benchmarkResponse) {
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countdown.countDown();
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}
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@Override
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public void onFailure(Throwable e) {
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throwables.add(e);
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countdown.countDown();
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}
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});
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final boolean ret = awaitBusy(statusPredicate, TIMEOUT, TIME_UNIT);
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assertTrue(ret);
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// Attempt to 'yield' to the thread executing the benchmark; we want it to start executing, but not
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// to finish so that we can 'capture' an in-progress state
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Thread.sleep(1000);
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final BenchmarkStatusResponse statusResponse = client().prepareBenchStatus().execute().actionGet();
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assertThat(statusResponse.benchmarkResponses().size(), greaterThanOrEqualTo(0));
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final BenchmarkStatusResponse response = client().prepareBenchStatus().execute().actionGet();
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assertThat(response.benchmarkResponses().size(), greaterThanOrEqualTo(0));
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for (BenchmarkResponse benchmarkResponse : response.benchmarkResponses()) {
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for (BenchmarkResponse benchmarkResponse : statusResponse.benchmarkResponses()) {
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assertThat(benchmarkResponse.benchmarkName(), equalTo(BENCHMARK_NAME));
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assertThat(benchmarkResponse.state(), equalTo(BenchmarkResponse.State.RUNNING));
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@ -138,74 +130,41 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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validateCompetitionResult(result, competitionSettingsMap.get(result.competitionName()), false);
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}
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}
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// Wait for active benchmark to finish; not fatal if we timeout as the framework will tear down the cluster
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if (!countdown.await(TIMEOUT, TIME_UNIT)) {
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logger.warn("Timeout waiting to for benchmark to complete");
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}
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if (throwables.size() > 0) {
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for (Throwable t : throwables) {
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logger.error(t.getMessage(), t);
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}
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fail("Failed to execute benchmark");
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}
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}
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@Test
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@LuceneTestCase.AwaitsFix(bugUrl = "https://github.com/elasticsearch/elasticsearch/issues/6094")
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public void testAbortBenchmark() throws Exception {
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final BenchmarkRequest request =
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BenchmarkTestUtil.randomRequest(client(), indices, numExecutorNodes, competitionSettingsMap);
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BenchmarkTestUtil.randomRequest(client(), indices, numExecutorNodes, competitionSettingsMap,
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BenchmarkTestUtil.MIN_LARGE_INTERVAL, BenchmarkTestUtil.MAX_LARGE_INTERVAL);
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logger.info("--> Submitting benchmark - competitors [{}] iterations [{}]", request.competitors().size(),
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request.settings().iterations());
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final CountDownLatch countdown = new CountDownLatch(1);
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final List<Throwable> throwables = new ArrayList<>();
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final ActionFuture<BenchmarkResponse> benchmarkResponse = client().bench(request);
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client().bench(request, new ActionListener<BenchmarkResponse>() {
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@Override
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public void onResponse(BenchmarkResponse benchmarkResponse) {
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countdown.countDown();
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assertThat(benchmarkResponse.state(), equalTo(BenchmarkResponse.State.ABORTED));
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}
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@Override
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public void onFailure(Throwable e) {
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throwables.add(e);
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countdown.countDown();
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}
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});
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final boolean ret = awaitBusy(statusPredicate, TIMEOUT, TIME_UNIT);
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assertTrue(ret);
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// Attempt to 'yield' to the thread executing the benchmark; we want it to start executing, but not
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// to finish so that we can successfully execute an abort operation on it.
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Thread.sleep(1000);
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final AbortBenchmarkResponse abortResponse =
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client().prepareAbortBench(BENCHMARK_NAME).execute().actionGet();
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final AbortBenchmarkResponse response = client().prepareAbortBench(BENCHMARK_NAME).execute().actionGet();
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assertThat(response.getNodeResponses().size(), lessThanOrEqualTo(numExecutorNodes));
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assertThat(response.getBenchmarkName(), equalTo(BENCHMARK_NAME));
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// Confirm that the benchmark was actually aborted and did not finish on its own
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assertThat(abortResponse.getNodeResponses().size(), lessThanOrEqualTo(numExecutorNodes));
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assertThat(abortResponse.getBenchmarkName(), equalTo(BENCHMARK_NAME));
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for (AbortBenchmarkNodeResponse nodeResponse : response.getNodeResponses()) {
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for (AbortBenchmarkNodeResponse nodeResponse : abortResponse.getNodeResponses()) {
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assertThat(nodeResponse.benchmarkName(), equalTo(BENCHMARK_NAME));
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assertThat(nodeResponse.errorMessage(), nullValue());
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assertThat(nodeResponse.nodeName(), notNullValue());
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}
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// Send a list request to make sure there are no active benchmarks
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// Confirm that there are no active benchmarks in the cluster
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final BenchmarkStatusResponse statusResponse = client().prepareBenchStatus().execute().actionGet();
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assertThat(statusResponse.benchmarkResponses().size(), equalTo(0));
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assertThat(statusResponse.totalActiveBenchmarks(), equalTo(0));
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// Wait for active benchmark to finish; not fatal if we timeout as the framework will tear down the cluster
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if (!countdown.await(TIMEOUT, TIME_UNIT)) {
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logger.warn("Timeout waiting to for benchmark to complete");
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}
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if (throwables.size() > 0) {
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for (Throwable t : throwables) {
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logger.error(t.getMessage(), t);
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}
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fail("Failed to execute benchmark");
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}
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// Confirm that benchmark was indeed aborted
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assertThat(benchmarkResponse.get().state(), equalTo(BenchmarkResponse.State.ABORTED));
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}
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@Test(expected = BenchmarkMissingException.class)
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@ -308,6 +267,7 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
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indexRandom(true, docs);
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}
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flushAndRefresh();
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return indices;
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}
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}
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@ -28,7 +28,6 @@ import org.elasticsearch.index.query.QueryBuilders;
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import java.util.Map;
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import static org.junit.Assert.fail;
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import static org.elasticsearch.test.ElasticsearchIntegrationTest.between;
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import static org.elasticsearch.test.ElasticsearchIntegrationTest.randomFrom;
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import static org.elasticsearch.test.ElasticsearchIntegrationTest.randomBoolean;
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@ -43,6 +42,8 @@ public class BenchmarkTestUtil {
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public static final int MAX_MULTIPLIER = 500;
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public static final int MIN_SMALL_INTERVAL = 1;
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public static final int MAX_SMALL_INTERVAL = 3;
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public static final int MIN_LARGE_INTERVAL = 11;
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public static final int MAX_LARGE_INTERVAL = 19;
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||||
|
||||
public static final String BENCHMARK_NAME = "test_benchmark";
|
||||
public static final String COMPETITOR_PREFIX = "competitor_";
|
||||
|
@ -111,10 +112,11 @@ public class BenchmarkTestUtil {
|
|||
}
|
||||
|
||||
public static BenchmarkRequest randomRequest(Client client, String[] indices, int numExecutorNodes,
|
||||
Map<String, BenchmarkSettings> competitionSettingsMap) {
|
||||
Map<String, BenchmarkSettings> competitionSettingsMap,
|
||||
int lowRandomIntervalBound, int highRandomIntervalBound) {
|
||||
|
||||
final BenchmarkRequestBuilder builder = new BenchmarkRequestBuilder(client, indices);
|
||||
final BenchmarkSettings settings = randomSettings();
|
||||
final BenchmarkSettings settings = randomSettings(lowRandomIntervalBound, highRandomIntervalBound);
|
||||
|
||||
builder.setIterations(settings.iterations());
|
||||
builder.setConcurrency(settings.concurrency());
|
||||
|
@ -123,9 +125,10 @@ public class BenchmarkTestUtil {
|
|||
builder.setWarmup(settings.warmup());
|
||||
builder.setNumExecutorNodes(numExecutorNodes);
|
||||
|
||||
final int numCompetitors = between(MIN_SMALL_INTERVAL, MAX_SMALL_INTERVAL);
|
||||
final int numCompetitors = between(lowRandomIntervalBound, highRandomIntervalBound);
|
||||
for (int i = 0; i < numCompetitors; i++) {
|
||||
builder.addCompetitor(randomCompetitor(client, COMPETITOR_PREFIX + i, indices, competitionSettingsMap));
|
||||
builder.addCompetitor(randomCompetitor(client, COMPETITOR_PREFIX + i, indices,
|
||||
competitionSettingsMap, lowRandomIntervalBound, highRandomIntervalBound));
|
||||
}
|
||||
|
||||
final BenchmarkRequest request = builder.request();
|
||||
|
@ -136,6 +139,13 @@ public class BenchmarkTestUtil {
|
|||
return request;
|
||||
}
|
||||
|
||||
public static BenchmarkRequest randomRequest(Client client, String[] indices, int numExecutorNodes,
|
||||
Map<String, BenchmarkSettings> competitionSettingsMap) {
|
||||
|
||||
return randomRequest(client, indices, numExecutorNodes,
|
||||
competitionSettingsMap, MIN_SMALL_INTERVAL, MAX_SMALL_INTERVAL);
|
||||
}
|
||||
|
||||
public static SearchRequest randomSearch(Client client, String[] indices) {
|
||||
|
||||
final SearchRequestBuilder builder = new SearchRequestBuilder(client);
|
||||
|
@ -146,10 +156,11 @@ public class BenchmarkTestUtil {
|
|||
}
|
||||
|
||||
public static BenchmarkCompetitor randomCompetitor(Client client, String name, String[] indices,
|
||||
Map<String, BenchmarkSettings> competitionSettingsMap) {
|
||||
Map<String, BenchmarkSettings> competitionSettingsMap,
|
||||
int lowRandomIntervalBound, int highRandomIntervalBound) {
|
||||
|
||||
final BenchmarkCompetitorBuilder builder = new BenchmarkCompetitorBuilder();
|
||||
final BenchmarkSettings settings = randomSettings();
|
||||
final BenchmarkSettings settings = randomSettings(lowRandomIntervalBound, highRandomIntervalBound);
|
||||
|
||||
builder.setClearCachesSettings(randomCacheSettings());
|
||||
builder.setIterations(settings.iterations());
|
||||
|
@ -159,7 +170,7 @@ public class BenchmarkTestUtil {
|
|||
builder.setWarmup(settings.warmup());
|
||||
builder.setName(name);
|
||||
|
||||
final int numSearches = between(MIN_SMALL_INTERVAL, MAX_SMALL_INTERVAL);
|
||||
final int numSearches = between(lowRandomIntervalBound, highRandomIntervalBound);
|
||||
for (int i = 0; i < numSearches; i++) {
|
||||
final SearchRequest searchRequest = randomSearch(client, indices);
|
||||
builder.addSearchRequest(searchRequest);
|
||||
|
@ -194,12 +205,12 @@ public class BenchmarkTestUtil {
|
|||
return settings;
|
||||
}
|
||||
|
||||
public static BenchmarkSettings randomSettings() {
|
||||
public static BenchmarkSettings randomSettings(int lowRandomIntervalBound, int highRandomIntervalBound) {
|
||||
|
||||
final BenchmarkSettings settings = new BenchmarkSettings();
|
||||
|
||||
settings.concurrency(between(MIN_SMALL_INTERVAL, MAX_SMALL_INTERVAL), true);
|
||||
settings.iterations(between(MIN_SMALL_INTERVAL, MAX_SMALL_INTERVAL), true);
|
||||
settings.concurrency(between(lowRandomIntervalBound, highRandomIntervalBound), true);
|
||||
settings.iterations(between(lowRandomIntervalBound, highRandomIntervalBound), true);
|
||||
settings.multiplier(between(MIN_MULTIPLIER, MAX_MULTIPLIER), true);
|
||||
settings.warmup(randomBoolean(), true);
|
||||
settings.searchType(searchTypes[between(0, searchTypes.length - 1)], true);
|
||||
|
|
Loading…
Reference in New Issue