use of org.apache.druid.collections.StupidPool in project druid by druid-io.
the class CachingClusteredClientBenchmark method makeGroupByQueryRunnerFactory.
private static GroupByQueryRunnerFactory makeGroupByQueryRunnerFactory(final ObjectMapper mapper, final GroupByQueryConfig config, final DruidProcessingConfig processingConfig) {
final Supplier<GroupByQueryConfig> configSupplier = Suppliers.ofInstance(config);
final Supplier<ByteBuffer> bufferSupplier = () -> ByteBuffer.allocateDirect(processingConfig.intermediateComputeSizeBytes());
final NonBlockingPool<ByteBuffer> bufferPool = new StupidPool<>("GroupByQueryEngine-bufferPool", bufferSupplier);
final BlockingPool<ByteBuffer> mergeBufferPool = new DefaultBlockingPool<>(bufferSupplier, processingConfig.getNumMergeBuffers());
final GroupByStrategySelector strategySelector = new GroupByStrategySelector(configSupplier, new GroupByStrategyV1(configSupplier, new GroupByQueryEngine(configSupplier, bufferPool), QueryRunnerTestHelper.NOOP_QUERYWATCHER), new GroupByStrategyV2(processingConfig, configSupplier, bufferPool, mergeBufferPool, mapper, QueryRunnerTestHelper.NOOP_QUERYWATCHER));
final GroupByQueryQueryToolChest toolChest = new GroupByQueryQueryToolChest(strategySelector);
return new GroupByQueryRunnerFactory(strategySelector, toolChest);
}
use of org.apache.druid.collections.StupidPool in project druid by druid-io.
the class GroupByBenchmark method setup.
/**
* Setup everything common for benchmarking both the incremental-index and the queriable-index.
*/
@Setup(Level.Trial)
public void setup() {
log.info("SETUP CALLED AT " + +System.currentTimeMillis());
ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde());
setupQueries();
String[] schemaQuery = schemaAndQuery.split("\\.");
String schemaName = schemaQuery[0];
String queryName = schemaQuery[1];
schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
query = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
generator = new DataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED, schemaInfo.getDataInterval(), rowsPerSegment);
NonBlockingPool<ByteBuffer> bufferPool = new StupidPool<>("GroupByBenchmark-computeBufferPool", new OffheapBufferGenerator("compute", 250_000_000), 0, Integer.MAX_VALUE);
// limit of 2 is required since we simulate both historical merge and broker merge in the same process
BlockingPool<ByteBuffer> mergePool = new DefaultBlockingPool<>(new OffheapBufferGenerator("merge", 250_000_000), 2);
final GroupByQueryConfig config = new GroupByQueryConfig() {
@Override
public String getDefaultStrategy() {
return defaultStrategy;
}
@Override
public int getBufferGrouperInitialBuckets() {
return initialBuckets;
}
@Override
public long getMaxOnDiskStorage() {
return 1_000_000_000L;
}
};
config.setSingleThreaded(false);
config.setMaxIntermediateRows(Integer.MAX_VALUE);
config.setMaxResults(Integer.MAX_VALUE);
DruidProcessingConfig druidProcessingConfig = new DruidProcessingConfig() {
@Override
public int getNumThreads() {
// Used by "v2" strategy for concurrencyHint
return numProcessingThreads;
}
@Override
public String getFormatString() {
return null;
}
};
final Supplier<GroupByQueryConfig> configSupplier = Suppliers.ofInstance(config);
final GroupByStrategySelector strategySelector = new GroupByStrategySelector(configSupplier, new GroupByStrategyV1(configSupplier, new GroupByQueryEngine(configSupplier, bufferPool), QueryBenchmarkUtil.NOOP_QUERYWATCHER), new GroupByStrategyV2(druidProcessingConfig, configSupplier, bufferPool, mergePool, new ObjectMapper(new SmileFactory()), QueryBenchmarkUtil.NOOP_QUERYWATCHER));
factory = new GroupByQueryRunnerFactory(strategySelector, new GroupByQueryQueryToolChest(strategySelector));
}
use of org.apache.druid.collections.StupidPool in project druid by druid-io.
the class TopNTypeInterfaceBenchmark method setup.
@Setup
public void setup() throws IOException {
log.info("SETUP CALLED AT " + System.currentTimeMillis());
ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde());
setupQueries();
schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get("basic");
queryBuilder = SCHEMA_QUERY_MAP.get("basic").get("string");
queryBuilder.threshold(threshold);
stringQuery = queryBuilder.build();
TopNQueryBuilder longBuilder = SCHEMA_QUERY_MAP.get("basic").get("long");
longBuilder.threshold(threshold);
longQuery = longBuilder.build();
TopNQueryBuilder floatBuilder = SCHEMA_QUERY_MAP.get("basic").get("float");
floatBuilder.threshold(threshold);
floatQuery = floatBuilder.build();
incIndexes = new ArrayList<>();
for (int i = 0; i < numSegments; i++) {
log.info("Generating rows for segment " + i);
DataGenerator gen = new DataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + i, schemaInfo.getDataInterval(), rowsPerSegment);
IncrementalIndex incIndex = makeIncIndex();
for (int j = 0; j < rowsPerSegment; j++) {
InputRow row = gen.nextRow();
if (j % 10000 == 0) {
log.info(j + " rows generated.");
}
incIndex.add(row);
}
incIndexes.add(incIndex);
}
File tmpFile = FileUtils.createTempDir();
log.info("Using temp dir: " + tmpFile.getAbsolutePath());
tmpFile.deleteOnExit();
qIndexes = new ArrayList<>();
for (int i = 0; i < numSegments; i++) {
File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpFile, new IndexSpec(), null);
QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
qIndexes.add(qIndex);
}
factory = new TopNQueryRunnerFactory(new StupidPool<>("TopNBenchmark-compute-bufferPool", new OffheapBufferGenerator("compute", 250000000), 0, Integer.MAX_VALUE), new TopNQueryQueryToolChest(new TopNQueryConfig()), QueryBenchmarkUtil.NOOP_QUERYWATCHER);
}
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