use of org.apache.druid.query.QueryToolChest in project druid by druid-io.
the class CachingClusteredClientBenchmark method setup.
@Setup(Level.Trial)
public void setup() {
final String schemaName = "basic";
parallelCombine = parallelism > 0;
GeneratorSchemaInfo schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
Map<DataSegment, QueryableIndex> queryableIndexes = Maps.newHashMapWithExpectedSize(numServers);
for (int i = 0; i < numServers; i++) {
final DataSegment dataSegment = DataSegment.builder().dataSource(DATA_SOURCE).interval(schemaInfo.getDataInterval()).version("1").shardSpec(new LinearShardSpec(i)).size(0).build();
final SegmentGenerator segmentGenerator = closer.register(new SegmentGenerator());
LOG.info("Starting benchmark setup using cacheDir[%s], rows[%,d].", segmentGenerator.getCacheDir(), rowsPerSegment);
final QueryableIndex index = segmentGenerator.generate(dataSegment, schemaInfo, Granularities.NONE, rowsPerSegment);
queryableIndexes.put(dataSegment, index);
}
final DruidProcessingConfig processingConfig = new DruidProcessingConfig() {
@Override
public String getFormatString() {
return null;
}
@Override
public int intermediateComputeSizeBytes() {
return PROCESSING_BUFFER_SIZE;
}
@Override
public int getNumMergeBuffers() {
return 1;
}
@Override
public int getNumThreads() {
return numProcessingThreads;
}
@Override
public boolean useParallelMergePool() {
return true;
}
};
conglomerate = new DefaultQueryRunnerFactoryConglomerate(ImmutableMap.<Class<? extends Query>, QueryRunnerFactory>builder().put(TimeseriesQuery.class, new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER)).put(TopNQuery.class, new TopNQueryRunnerFactory(new StupidPool<>("TopNQueryRunnerFactory-bufferPool", () -> ByteBuffer.allocate(PROCESSING_BUFFER_SIZE)), new TopNQueryQueryToolChest(new TopNQueryConfig()), QueryRunnerTestHelper.NOOP_QUERYWATCHER)).put(GroupByQuery.class, makeGroupByQueryRunnerFactory(GroupByQueryRunnerTest.DEFAULT_MAPPER, new GroupByQueryConfig() {
@Override
public String getDefaultStrategy() {
return GroupByStrategySelector.STRATEGY_V2;
}
}, processingConfig)).build());
toolChestWarehouse = new QueryToolChestWarehouse() {
@Override
public <T, QueryType extends Query<T>> QueryToolChest<T, QueryType> getToolChest(final QueryType query) {
return conglomerate.findFactory(query).getToolchest();
}
};
SimpleServerView serverView = new SimpleServerView();
int serverSuffx = 1;
for (Entry<DataSegment, QueryableIndex> entry : queryableIndexes.entrySet()) {
serverView.addServer(createServer(serverSuffx++), entry.getKey(), entry.getValue());
}
processingPool = Execs.multiThreaded(processingConfig.getNumThreads(), "caching-clustered-client-benchmark");
forkJoinPool = new ForkJoinPool((int) Math.ceil(Runtime.getRuntime().availableProcessors() * 0.75), ForkJoinPool.defaultForkJoinWorkerThreadFactory, null, true);
cachingClusteredClient = new CachingClusteredClient(toolChestWarehouse, serverView, MapCache.create(0), JSON_MAPPER, new ForegroundCachePopulator(JSON_MAPPER, new CachePopulatorStats(), 0), new CacheConfig(), new DruidHttpClientConfig(), processingConfig, forkJoinPool, QueryStackTests.DEFAULT_NOOP_SCHEDULER, new MapJoinableFactory(ImmutableSet.of(), ImmutableMap.of()), new NoopServiceEmitter());
}
use of org.apache.druid.query.QueryToolChest in project druid by druid-io.
the class SearchBenchmark method runQuery.
private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) {
QueryToolChest toolChest = factory.getToolchest();
QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
return queryResult.toList();
}
use of org.apache.druid.query.QueryToolChest in project druid by druid-io.
the class GroupByTypeInterfaceBenchmark method runQuery.
private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) {
QueryToolChest toolChest = factory.getToolchest();
QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
return queryResult.toList();
}
use of org.apache.druid.query.QueryToolChest in project druid by druid-io.
the class FilteredAggregatorBenchmark method runQuery.
private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query, String vectorize) {
QueryToolChest toolChest = factory.getToolchest();
QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
final QueryPlus<T> queryToRun = QueryPlus.wrap(query.withOverriddenContext(ImmutableMap.of(QueryContexts.VECTORIZE_KEY, vectorize, QueryContexts.VECTORIZE_VIRTUAL_COLUMNS_KEY, vectorize)));
Sequence<T> queryResult = theRunner.run(queryToRun, ResponseContext.createEmpty());
return queryResult.toList();
}
use of org.apache.druid.query.QueryToolChest in project druid by druid-io.
the class MaterializedViewQueryQueryToolChest method preMergeQueryDecoration.
@Override
public QueryRunner preMergeQueryDecoration(final QueryRunner runner) {
return new QueryRunner() {
@Override
public Sequence run(QueryPlus queryPlus, ResponseContext responseContext) {
Query realQuery = getRealQuery(queryPlus.getQuery());
QueryToolChest realQueryToolChest = warehouse.getToolChest(realQuery);
QueryRunner realQueryRunner = realQueryToolChest.preMergeQueryDecoration(new MaterializedViewQueryRunner(runner, optimizer));
return realQueryRunner.run(queryPlus.withQuery(realQuery), responseContext);
}
};
}
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