mirror of https://github.com/apache/druid.git
Moved Scan Builder to Druids class and started on Scan Benchmark setup
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@ -0,0 +1,371 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.druid.benchmark.query;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.common.base.Suppliers;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.Lists;
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import com.google.common.io.Files;
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import org.apache.commons.io.FileUtils;
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import org.apache.druid.benchmark.datagen.BenchmarkDataGenerator;
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import org.apache.druid.benchmark.datagen.BenchmarkSchemaInfo;
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import org.apache.druid.benchmark.datagen.BenchmarkSchemas;
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import org.apache.druid.data.input.InputRow;
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import org.apache.druid.hll.HyperLogLogHash;
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import org.apache.druid.jackson.DefaultObjectMapper;
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import org.apache.druid.java.util.common.concurrent.Execs;
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import org.apache.druid.java.util.common.granularity.Granularities;
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import org.apache.druid.java.util.common.guava.Sequence;
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import org.apache.druid.java.util.common.logger.Logger;
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import org.apache.druid.query.DefaultGenericQueryMetricsFactory;
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import org.apache.druid.query.Druids;
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import org.apache.druid.query.FinalizeResultsQueryRunner;
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import org.apache.druid.query.Query;
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import org.apache.druid.query.QueryPlus;
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import org.apache.druid.query.QueryRunner;
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import org.apache.druid.query.QueryRunnerFactory;
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import org.apache.druid.query.QueryToolChest;
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import org.apache.druid.query.aggregation.hyperloglog.HyperUniquesSerde;
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import org.apache.druid.query.extraction.DimExtractionFn;
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import org.apache.druid.query.extraction.IdentityExtractionFn;
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import org.apache.druid.query.extraction.LowerExtractionFn;
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import org.apache.druid.query.extraction.StrlenExtractionFn;
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import org.apache.druid.query.extraction.SubstringDimExtractionFn;
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import org.apache.druid.query.extraction.UpperExtractionFn;
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import org.apache.druid.query.filter.AndDimFilter;
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import org.apache.druid.query.filter.BoundDimFilter;
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import org.apache.druid.query.filter.DimFilter;
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import org.apache.druid.query.filter.InDimFilter;
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import org.apache.druid.query.filter.SelectorDimFilter;
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import org.apache.druid.query.scan.ScanQuery;
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import org.apache.druid.query.scan.ScanQueryConfig;
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import org.apache.druid.query.scan.ScanQueryEngine;
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import org.apache.druid.query.scan.ScanQueryQueryToolChest;
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import org.apache.druid.query.scan.ScanQueryRunnerFactory;
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import org.apache.druid.query.search.SearchQueryConfig;
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import org.apache.druid.query.search.SearchQueryQueryToolChest;
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import org.apache.druid.query.search.SearchQueryRunnerFactory;
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import org.apache.druid.query.search.SearchStrategySelector;
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import org.apache.druid.query.spec.MultipleIntervalSegmentSpec;
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import org.apache.druid.query.spec.QuerySegmentSpec;
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import org.apache.druid.segment.IndexIO;
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import org.apache.druid.segment.IndexMergerV9;
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import org.apache.druid.segment.IndexSpec;
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import org.apache.druid.segment.QueryableIndex;
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import org.apache.druid.segment.column.ColumnConfig;
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import org.apache.druid.segment.incremental.IncrementalIndex;
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import org.apache.druid.segment.serde.ComplexMetrics;
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import org.apache.druid.segment.writeout.OffHeapMemorySegmentWriteOutMediumFactory;
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import org.openjdk.jmh.annotations.Fork;
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import org.openjdk.jmh.annotations.Measurement;
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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.annotations.TearDown;
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import org.openjdk.jmh.annotations.Warmup;
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import java.io.File;
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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.HashMap;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.ExecutorService;
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@State(Scope.Benchmark)
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@Fork(value = 1)
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@Warmup(iterations = 10)
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@Measurement(iterations = 25)
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public class ScanBenchmark
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{
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@Param({"1"})
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private int numSegments;
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@Param({"750000"})
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private int rowsPerSegment;
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@Param({"basic.A"})
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private String schemaAndQuery;
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@Param({"1000"})
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private int limit;
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private static final Logger log = new Logger(ScanBenchmark.class);
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private static final ObjectMapper JSON_MAPPER;
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private static final IndexMergerV9 INDEX_MERGER_V9;
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private static final IndexIO INDEX_IO;
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private List<IncrementalIndex> incIndexes;
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private List<QueryableIndex> qIndexes;
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private QueryRunnerFactory factory;
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private BenchmarkSchemaInfo schemaInfo;
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private Druids.ScanQueryBuilder queryBuilder;
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private ScanQuery query;
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private File tmpDir;
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private ExecutorService executorService;
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static {
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JSON_MAPPER = new DefaultObjectMapper();
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INDEX_IO = new IndexIO(
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JSON_MAPPER,
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() -> 0
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);
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INDEX_MERGER_V9 = new IndexMergerV9(JSON_MAPPER, INDEX_IO, OffHeapMemorySegmentWriteOutMediumFactory.instance());
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}
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private static final Map<String, Map<String, Druids.ScanQueryBuilder>> SCHEMA_QUERY_MAP = new LinkedHashMap<>();
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private void setupQueries()
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{
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// queries for the basic schema
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final Map<String, Druids.ScanQueryBuilder> basicQueries = new LinkedHashMap<>();
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final BenchmarkSchemaInfo basicSchema = BenchmarkSchemas.SCHEMA_MAP.get("basic");
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final List<String> queryTypes = ImmutableList.of("A", "B", "C", "D");
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for (final String eachType : queryTypes) {
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basicQueries.put(eachType, makeQuery(eachType, basicSchema));
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}
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SCHEMA_QUERY_MAP.put("basic", basicQueries);
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}
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private static Druids.ScanQueryBuilder makeQuery(final String name, final BenchmarkSchemaInfo basicSchema)
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{
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switch (name) {
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case "A":
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return basicA(basicSchema);
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case "B":
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return basicB(basicSchema);
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case "C":
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return basicC(basicSchema);
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case "D":
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return basicD(basicSchema);
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default:
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return null;
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}
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}
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private static Druids.ScanQueryBuilder basicA(final BenchmarkSchemaInfo basicSchema)
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{
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final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
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return Druids.newScanQueryBuilder()
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.dataSource("blah")
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.intervals(intervalSpec)
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.query("123");
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}
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private static Druids.ScanQueryBuilder basicB(final BenchmarkSchemaInfo basicSchema)
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{
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final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
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final List<String> dimUniformFilterVals = new ArrayList<>();
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int resultNum = (int) (100000 * 0.1);
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int step = 100000 / resultNum;
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for (int i = 1; i < 100001 && dimUniformFilterVals.size() < resultNum; i += step) {
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dimUniformFilterVals.add(String.valueOf(i));
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}
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List<String> dimHyperUniqueFilterVals = new ArrayList<>();
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resultNum = (int) (100000 * 0.1);
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step = 100000 / resultNum;
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for (int i = 0; i < 100001 && dimHyperUniqueFilterVals.size() < resultNum; i += step) {
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dimHyperUniqueFilterVals.add(String.valueOf(i));
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}
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final List<DimFilter> dimFilters = new ArrayList<>();
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dimFilters.add(new InDimFilter("dimUniform", dimUniformFilterVals, null));
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dimFilters.add(new InDimFilter("dimHyperUnique", dimHyperUniqueFilterVals, null));
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return Druids.newScanQueryBuilder(); // TODO
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}
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private static Druids.ScanQueryBuilder basicC(final BenchmarkSchemaInfo basicSchema)
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{
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final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
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final List<String> dimUniformFilterVals = new ArrayList<>();
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final int resultNum = (int) (100000 * 0.1);
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final int step = 100000 / resultNum;
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for (int i = 1; i < 100001 && dimUniformFilterVals.size() < resultNum; i += step) {
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dimUniformFilterVals.add(String.valueOf(i));
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}
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final String dimName = "dimUniform";
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final List<DimFilter> dimFilters = new ArrayList<>();
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dimFilters.add(new InDimFilter(dimName, dimUniformFilterVals, IdentityExtractionFn.getInstance()));
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dimFilters.add(new SelectorDimFilter(dimName, "3", StrlenExtractionFn.instance()));
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dimFilters.add(new BoundDimFilter(dimName, "100", "10000", true, true, true, new DimExtractionFn()
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{
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@Override
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public byte[] getCacheKey()
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{
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return new byte[]{0xF};
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}
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@Override
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public String apply(String value)
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{
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return String.valueOf(Long.parseLong(value) + 1);
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}
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@Override
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public boolean preservesOrdering()
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{
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return false;
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}
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@Override
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public ExtractionType getExtractionType()
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{
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return ExtractionType.ONE_TO_ONE;
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}
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}, null));
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dimFilters.add(new InDimFilter(dimName, dimUniformFilterVals, new LowerExtractionFn(null)));
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dimFilters.add(new InDimFilter(dimName, dimUniformFilterVals, new UpperExtractionFn(null)));
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dimFilters.add(new InDimFilter(dimName, dimUniformFilterVals, new SubstringDimExtractionFn(1, 3)));
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return Druids.newScanQueryBuilder(); // TODO
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}
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private static Druids.ScanQueryBuilder basicD(final BenchmarkSchemaInfo basicSchema)
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{
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final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(
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Collections.singletonList(basicSchema.getDataInterval())
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);
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final List<String> dimUniformFilterVals = new ArrayList<>();
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final int resultNum = (int) (100000 * 0.1);
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final int step = 100000 / resultNum;
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for (int i = 1; i < 100001 && dimUniformFilterVals.size() < resultNum; i += step) {
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dimUniformFilterVals.add(String.valueOf(i));
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}
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final String dimName = "dimUniform";
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final List<DimFilter> dimFilters = new ArrayList<>();
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dimFilters.add(new InDimFilter(dimName, dimUniformFilterVals, null));
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dimFilters.add(new SelectorDimFilter(dimName, "3", null));
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dimFilters.add(new BoundDimFilter(dimName, "100", "10000", true, true, true, null, null));
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return Druids.newScanQueryBuilder(); // TODO
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}
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@Setup
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public void setup() throws IOException
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{
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log.info("SETUP CALLED AT " + +System.currentTimeMillis());
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if (ComplexMetrics.getSerdeForType("hyperUnique") == null) {
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ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault()));
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}
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executorService = Execs.multiThreaded(numSegments, "SearchThreadPool");
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setupQueries();
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String[] schemaQuery = schemaAndQuery.split("\\.");
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String schemaName = schemaQuery[0];
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String queryName = schemaQuery[1];
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schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName);
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queryBuilder = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
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queryBuilder.limit(limit);
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query = queryBuilder.build();
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incIndexes = new ArrayList<>();
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for (int i = 0; i < numSegments; i++) {
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log.info("Generating rows for segment " + i);
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BenchmarkDataGenerator gen = new BenchmarkDataGenerator(
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schemaInfo.getColumnSchemas(),
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System.currentTimeMillis(),
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schemaInfo.getDataInterval(),
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rowsPerSegment
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);
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IncrementalIndex incIndex = makeIncIndex();
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for (int j = 0; j < rowsPerSegment; j++) {
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InputRow row = gen.nextRow();
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if (j % 10000 == 0) {
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log.info(j + " rows generated.");
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}
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incIndex.add(row);
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}
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incIndexes.add(incIndex);
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}
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tmpDir = Files.createTempDir();
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log.info("Using temp dir: " + tmpDir.getAbsolutePath());
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qIndexes = new ArrayList<>();
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for (int i = 0; i < numSegments; i++) {
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File indexFile = INDEX_MERGER_V9.persist(
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incIndexes.get(i),
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tmpDir,
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new IndexSpec(),
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null
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);
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QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
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qIndexes.add(qIndex);
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}
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final ScanQueryConfig config = new ScanQueryConfig().setLegacy(false);
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factory = new ScanQueryRunnerFactory(
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new ScanQueryQueryToolChest(
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config,
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DefaultGenericQueryMetricsFactory.instance()
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),
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new ScanQueryEngine()
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);
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}
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@TearDown
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public void tearDown() throws IOException
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{
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FileUtils.deleteDirectory(tmpDir);
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}
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private IncrementalIndex makeIncIndex()
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{
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return new IncrementalIndex.Builder()
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.setSimpleTestingIndexSchema(schemaInfo.getAggsArray())
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.setReportParseExceptions(false)
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.setMaxRowCount(rowsPerSegment)
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.buildOnheap();
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}
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private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query)
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{
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QueryToolChest toolChest = factory.getToolchest();
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QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(
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toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)),
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toolChest
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);
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Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), new HashMap<>());
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return queryResult.toList();
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}
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}
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@ -315,7 +315,6 @@ public class SelectBenchmark
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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.MICROSECONDS)
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|
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|
@ -36,6 +36,7 @@ import org.apache.druid.query.filter.InDimFilter;
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import org.apache.druid.query.filter.SelectorDimFilter;
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import org.apache.druid.query.metadata.metadata.ColumnIncluderator;
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import org.apache.druid.query.metadata.metadata.SegmentMetadataQuery;
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import org.apache.druid.query.scan.ScanQuery;
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import org.apache.druid.query.search.ContainsSearchQuerySpec;
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import org.apache.druid.query.search.FragmentSearchQuerySpec;
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import org.apache.druid.query.search.InsensitiveContainsSearchQuerySpec;
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|
@ -896,6 +897,162 @@ public class Druids
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return new SelectQueryBuilder();
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}
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/**
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* A Builder for ScanQuery.
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* <p/>
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* Required: dataSource(), intervals() must be called before build()
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* <p/>
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* Usage example:
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* <pre><code>
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* ScanQuery query = new ScanQueryBuilder()
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* .dataSource("Example")
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* .interval("2010/2013")
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* .build();
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* </code></pre>
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*
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* @see ScanQuery
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*/
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public static class ScanQueryBuilder
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{
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private DataSource dataSource;
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private QuerySegmentSpec querySegmentSpec;
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private VirtualColumns virtualColumns;
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private Map<String, Object> context;
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private String resultFormat;
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private int batchSize;
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private long limit;
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private DimFilter dimFilter;
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private List<String> columns;
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private Boolean legacy;
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public ScanQueryBuilder()
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{
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dataSource = null;
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querySegmentSpec = null;
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virtualColumns = null;
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context = null;
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resultFormat = null;
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batchSize = 0;
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limit = 0;
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dimFilter = null;
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columns = new ArrayList<>();
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legacy = null;
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}
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public ScanQuery build()
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{
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return new ScanQuery(
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dataSource,
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querySegmentSpec,
|
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virtualColumns,
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resultFormat,
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batchSize,
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limit,
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dimFilter,
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columns,
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legacy,
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context
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);
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}
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public static ScanQueryBuilder copy(ScanQuery query)
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{
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return new ScanQueryBuilder()
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.dataSource(query.getDataSource())
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.intervals(query.getQuerySegmentSpec())
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.virtualColumns(query.getVirtualColumns())
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.resultFormat(query.getResultFormat())
|
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.batchSize(query.getBatchSize())
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.limit(query.getLimit())
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.filters(query.getFilter())
|
||||
.columns(query.getColumns())
|
||||
.legacy(query.isLegacy())
|
||||
.context(query.getContext());
|
||||
}
|
||||
|
||||
public ScanQueryBuilder dataSource(String ds)
|
||||
{
|
||||
dataSource = new TableDataSource(ds);
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder dataSource(DataSource ds)
|
||||
{
|
||||
dataSource = ds;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder intervals(QuerySegmentSpec q)
|
||||
{
|
||||
querySegmentSpec = q;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder virtualColumns(VirtualColumns virtualColumns)
|
||||
{
|
||||
this.virtualColumns = virtualColumns;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder virtualColumns(VirtualColumn... virtualColumns)
|
||||
{
|
||||
return virtualColumns(VirtualColumns.create(Arrays.asList(virtualColumns)));
|
||||
}
|
||||
|
||||
public ScanQueryBuilder context(Map<String, Object> c)
|
||||
{
|
||||
context = c;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder resultFormat(String r)
|
||||
{
|
||||
resultFormat = r;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder batchSize(int b)
|
||||
{
|
||||
batchSize = b;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder limit(long l)
|
||||
{
|
||||
limit = l;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder filters(DimFilter f)
|
||||
{
|
||||
dimFilter = f;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder columns(List<String> c)
|
||||
{
|
||||
columns = c;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder columns(String... c)
|
||||
{
|
||||
columns = Arrays.asList(c);
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder legacy(Boolean legacy)
|
||||
{
|
||||
this.legacy = legacy;
|
||||
return this;
|
||||
}
|
||||
}
|
||||
|
||||
public static ScanQueryBuilder newScanQueryBuilder()
|
||||
{
|
||||
return new ScanQueryBuilder();
|
||||
}
|
||||
|
||||
/**
|
||||
* A Builder for DataSourceMetadataQuery.
|
||||
* <p/>
|
||||
|
|
|
@ -24,15 +24,12 @@ import com.fasterxml.jackson.annotation.JsonProperty;
|
|||
import com.google.common.base.Preconditions;
|
||||
import org.apache.druid.query.BaseQuery;
|
||||
import org.apache.druid.query.DataSource;
|
||||
import org.apache.druid.query.Druids;
|
||||
import org.apache.druid.query.Query;
|
||||
import org.apache.druid.query.TableDataSource;
|
||||
import org.apache.druid.query.filter.DimFilter;
|
||||
import org.apache.druid.query.spec.QuerySegmentSpec;
|
||||
import org.apache.druid.segment.VirtualColumn;
|
||||
import org.apache.druid.segment.VirtualColumns;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Objects;
|
||||
|
@ -137,30 +134,30 @@ public class ScanQuery extends BaseQuery<ScanResultValue>
|
|||
|
||||
public ScanQuery withNonNullLegacy(final ScanQueryConfig scanQueryConfig)
|
||||
{
|
||||
return ScanQueryBuilder.copy(this).legacy(legacy != null ? legacy : scanQueryConfig.isLegacy()).build();
|
||||
return Druids.ScanQueryBuilder.copy(this).legacy(legacy != null ? legacy : scanQueryConfig.isLegacy()).build();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Query<ScanResultValue> withQuerySegmentSpec(QuerySegmentSpec querySegmentSpec)
|
||||
{
|
||||
return ScanQueryBuilder.copy(this).intervals(querySegmentSpec).build();
|
||||
return Druids.ScanQueryBuilder.copy(this).intervals(querySegmentSpec).build();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Query<ScanResultValue> withDataSource(DataSource dataSource)
|
||||
{
|
||||
return ScanQueryBuilder.copy(this).dataSource(dataSource).build();
|
||||
return Druids.ScanQueryBuilder.copy(this).dataSource(dataSource).build();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Query<ScanResultValue> withOverriddenContext(Map<String, Object> contextOverrides)
|
||||
{
|
||||
return ScanQueryBuilder.copy(this).context(computeOverriddenContext(getContext(), contextOverrides)).build();
|
||||
return Druids.ScanQueryBuilder.copy(this).context(computeOverriddenContext(getContext(), contextOverrides)).build();
|
||||
}
|
||||
|
||||
public ScanQuery withDimFilter(DimFilter dimFilter)
|
||||
{
|
||||
return ScanQueryBuilder.copy(this).filters(dimFilter).build();
|
||||
return Druids.ScanQueryBuilder.copy(this).filters(dimFilter).build();
|
||||
}
|
||||
|
||||
@Override
|
||||
|
@ -206,160 +203,4 @@ public class ScanQuery extends BaseQuery<ScanResultValue>
|
|||
", legacy=" + legacy +
|
||||
'}';
|
||||
}
|
||||
|
||||
/**
|
||||
* A Builder for ScanQuery.
|
||||
* <p/>
|
||||
* Required: dataSource(), intervals() must be called before build()
|
||||
* <p/>
|
||||
* Usage example:
|
||||
* <pre><code>
|
||||
* ScanQuery query = new ScanQueryBuilder()
|
||||
* .dataSource("Example")
|
||||
* .interval("2010/2013")
|
||||
* .build();
|
||||
* </code></pre>
|
||||
*
|
||||
* @see ScanQuery
|
||||
*/
|
||||
public static class ScanQueryBuilder
|
||||
{
|
||||
private DataSource dataSource;
|
||||
private QuerySegmentSpec querySegmentSpec;
|
||||
private VirtualColumns virtualColumns;
|
||||
private Map<String, Object> context;
|
||||
private String resultFormat;
|
||||
private int batchSize;
|
||||
private long limit;
|
||||
private DimFilter dimFilter;
|
||||
private List<String> columns;
|
||||
private Boolean legacy;
|
||||
|
||||
public ScanQueryBuilder()
|
||||
{
|
||||
dataSource = null;
|
||||
querySegmentSpec = null;
|
||||
virtualColumns = null;
|
||||
context = null;
|
||||
resultFormat = null;
|
||||
batchSize = 0;
|
||||
limit = 0;
|
||||
dimFilter = null;
|
||||
columns = new ArrayList<>();
|
||||
legacy = null;
|
||||
}
|
||||
|
||||
public ScanQuery build()
|
||||
{
|
||||
return new ScanQuery(
|
||||
dataSource,
|
||||
querySegmentSpec,
|
||||
virtualColumns,
|
||||
resultFormat,
|
||||
batchSize,
|
||||
limit,
|
||||
dimFilter,
|
||||
columns,
|
||||
legacy,
|
||||
context
|
||||
);
|
||||
}
|
||||
|
||||
public static ScanQueryBuilder copy(ScanQuery query)
|
||||
{
|
||||
return new ScanQueryBuilder()
|
||||
.dataSource(query.getDataSource())
|
||||
.intervals(query.getQuerySegmentSpec())
|
||||
.virtualColumns(query.getVirtualColumns())
|
||||
.resultFormat(query.getResultFormat())
|
||||
.batchSize(query.getBatchSize())
|
||||
.limit(query.getLimit())
|
||||
.filters(query.getFilter())
|
||||
.columns(query.getColumns())
|
||||
.legacy(query.isLegacy())
|
||||
.context(query.getContext());
|
||||
}
|
||||
|
||||
public ScanQueryBuilder dataSource(String ds)
|
||||
{
|
||||
dataSource = new TableDataSource(ds);
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder dataSource(DataSource ds)
|
||||
{
|
||||
dataSource = ds;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder intervals(QuerySegmentSpec q)
|
||||
{
|
||||
querySegmentSpec = q;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder virtualColumns(VirtualColumns virtualColumns)
|
||||
{
|
||||
this.virtualColumns = virtualColumns;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder virtualColumns(VirtualColumn... virtualColumns)
|
||||
{
|
||||
return virtualColumns(VirtualColumns.create(Arrays.asList(virtualColumns)));
|
||||
}
|
||||
|
||||
public ScanQueryBuilder context(Map<String, Object> c)
|
||||
{
|
||||
context = c;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder resultFormat(String r)
|
||||
{
|
||||
resultFormat = r;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder batchSize(int b)
|
||||
{
|
||||
batchSize = b;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder limit(long l)
|
||||
{
|
||||
limit = l;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder filters(DimFilter f)
|
||||
{
|
||||
dimFilter = f;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder columns(List<String> c)
|
||||
{
|
||||
columns = c;
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder columns(String... c)
|
||||
{
|
||||
columns = Arrays.asList(c);
|
||||
return this;
|
||||
}
|
||||
|
||||
public ScanQueryBuilder legacy(Boolean legacy)
|
||||
{
|
||||
this.legacy = legacy;
|
||||
return this;
|
||||
}
|
||||
}
|
||||
|
||||
public static ScanQueryBuilder newScanQueryBuilder()
|
||||
{
|
||||
return new ScanQueryBuilder();
|
||||
}
|
||||
}
|
||||
|
|
|
@ -97,14 +97,14 @@ public class DoubleStorageTest
|
|||
new ScanQueryEngine()
|
||||
);
|
||||
|
||||
private ScanQuery.ScanQueryBuilder newTestQuery()
|
||||
private Druids.ScanQueryBuilder newTestQuery()
|
||||
{
|
||||
return ScanQuery.newScanQueryBuilder()
|
||||
.dataSource(new TableDataSource(QueryRunnerTestHelper.dataSource))
|
||||
.columns(Collections.emptyList())
|
||||
.intervals(QueryRunnerTestHelper.fullOnIntervalSpec)
|
||||
.limit(Integer.MAX_VALUE)
|
||||
.legacy(false);
|
||||
return Druids.newScanQueryBuilder()
|
||||
.dataSource(new TableDataSource(QueryRunnerTestHelper.dataSource))
|
||||
.columns(Collections.emptyList())
|
||||
.intervals(QueryRunnerTestHelper.fullOnIntervalSpec)
|
||||
.limit(Integer.MAX_VALUE)
|
||||
.legacy(false);
|
||||
}
|
||||
|
||||
|
||||
|
|
|
@ -31,6 +31,7 @@ import org.apache.druid.java.util.common.guava.MergeSequence;
|
|||
import org.apache.druid.java.util.common.guava.Sequence;
|
||||
import org.apache.druid.java.util.common.guava.Sequences;
|
||||
import org.apache.druid.query.DefaultGenericQueryMetricsFactory;
|
||||
import org.apache.druid.query.Druids;
|
||||
import org.apache.druid.query.QueryPlus;
|
||||
import org.apache.druid.query.QueryRunner;
|
||||
import org.apache.druid.query.QueryRunnerFactory;
|
||||
|
@ -177,9 +178,9 @@ public class MultiSegmentScanQueryTest
|
|||
this.batchSize = batchSize;
|
||||
}
|
||||
|
||||
private ScanQuery.ScanQueryBuilder newBuilder()
|
||||
private Druids.ScanQueryBuilder newBuilder()
|
||||
{
|
||||
return ScanQuery.newScanQueryBuilder()
|
||||
return Druids.newScanQueryBuilder()
|
||||
.dataSource(new TableDataSource(QueryRunnerTestHelper.dataSource))
|
||||
.intervals(SelectQueryRunnerTest.I_0112_0114_SPEC)
|
||||
.batchSize(batchSize)
|
||||
|
|
|
@ -32,6 +32,7 @@ import org.apache.druid.java.util.common.ISE;
|
|||
import org.apache.druid.java.util.common.Intervals;
|
||||
import org.apache.druid.java.util.common.StringUtils;
|
||||
import org.apache.druid.query.DefaultGenericQueryMetricsFactory;
|
||||
import org.apache.druid.query.Druids;
|
||||
import org.apache.druid.query.QueryPlus;
|
||||
import org.apache.druid.query.QueryRunner;
|
||||
import org.apache.druid.query.QueryRunnerTestHelper;
|
||||
|
@ -136,9 +137,9 @@ public class ScanQueryRunnerTest
|
|||
this.legacy = legacy;
|
||||
}
|
||||
|
||||
private ScanQuery.ScanQueryBuilder newTestQuery()
|
||||
private Druids.ScanQueryBuilder newTestQuery()
|
||||
{
|
||||
return ScanQuery.newScanQueryBuilder()
|
||||
return Druids.newScanQueryBuilder()
|
||||
.dataSource(new TableDataSource(QueryRunnerTestHelper.dataSource))
|
||||
.columns(Collections.emptyList())
|
||||
.intervals(QueryRunnerTestHelper.fullOnIntervalSpec)
|
||||
|
|
|
@ -32,6 +32,7 @@ import org.apache.druid.java.util.common.StringUtils;
|
|||
import org.apache.druid.java.util.common.io.Closer;
|
||||
import org.apache.druid.java.util.common.logger.Logger;
|
||||
import org.apache.druid.math.expr.ExprMacroTable;
|
||||
import org.apache.druid.query.Druids;
|
||||
import org.apache.druid.query.Query;
|
||||
import org.apache.druid.query.QueryContexts;
|
||||
import org.apache.druid.query.QueryRunnerFactoryConglomerate;
|
||||
|
@ -359,9 +360,9 @@ public class BaseCalciteQueryTest extends CalciteTestBase
|
|||
return new ExpressionPostAggregator(name, expression, null, CalciteTests.createExprMacroTable());
|
||||
}
|
||||
|
||||
public static ScanQuery.ScanQueryBuilder newScanQueryBuilder()
|
||||
public static Druids.ScanQueryBuilder newScanQueryBuilder()
|
||||
{
|
||||
return new ScanQuery.ScanQueryBuilder().resultFormat(ScanQuery.RESULT_FORMAT_COMPACTED_LIST)
|
||||
return new Druids.ScanQueryBuilder().resultFormat(ScanQuery.RESULT_FORMAT_COMPACTED_LIST)
|
||||
.legacy(false);
|
||||
}
|
||||
|
||||
|
|
Loading…
Reference in New Issue