kgyrtkirk commented on code in PR #15688:
URL: https://github.com/apache/druid/pull/15688#discussion_r1467321612


##########
benchmarks/src/test/java/org/apache/druid/benchmark/query/InPlanningBenchmark.java:
##########
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.benchmark.query;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonMappingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import org.apache.druid.common.config.NullHandling;
+import org.apache.druid.data.input.impl.DimensionSchema;
+import org.apache.druid.data.input.impl.DimensionsSpec;
+import org.apache.druid.java.util.common.granularity.Granularities;
+import org.apache.druid.java.util.common.guava.Sequence;
+import org.apache.druid.java.util.common.io.Closer;
+import org.apache.druid.java.util.common.logger.Logger;
+import org.apache.druid.math.expr.ExpressionProcessing;
+import org.apache.druid.query.DruidProcessingConfig;
+import org.apache.druid.query.QueryRunnerFactoryConglomerate;
+import org.apache.druid.segment.AutoTypeColumnSchema;
+import org.apache.druid.segment.IndexSpec;
+import org.apache.druid.segment.QueryableIndex;
+import org.apache.druid.segment.generator.GeneratorBasicSchemas;
+import org.apache.druid.segment.generator.GeneratorSchemaInfo;
+import org.apache.druid.segment.generator.SegmentGenerator;
+import org.apache.druid.segment.transform.TransformSpec;
+import org.apache.druid.server.QueryStackTests;
+import org.apache.druid.server.SpecificSegmentsQuerySegmentWalker;
+import org.apache.druid.server.security.AuthConfig;
+import org.apache.druid.server.security.AuthTestUtils;
+import org.apache.druid.sql.calcite.planner.CalciteRulesManager;
+import org.apache.druid.sql.calcite.planner.CatalogResolver;
+import org.apache.druid.sql.calcite.planner.DruidPlanner;
+import org.apache.druid.sql.calcite.planner.PlannerConfig;
+import org.apache.druid.sql.calcite.planner.PlannerFactory;
+import org.apache.druid.sql.calcite.planner.PlannerResult;
+import org.apache.druid.sql.calcite.run.SqlEngine;
+import org.apache.druid.sql.calcite.schema.DruidSchemaCatalog;
+import org.apache.druid.sql.calcite.util.CalciteTests;
+import org.apache.druid.timeline.DataSegment;
+import org.apache.druid.timeline.partition.LinearShardSpec;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Level;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.TearDown;
+import org.openjdk.jmh.annotations.Warmup;
+import org.openjdk.jmh.infra.Blackhole;
+
+import javax.annotation.Nullable;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+/**
+ * Benchmark that tests various SQL queries.
+ */
+@State(Scope.Benchmark)
+@Fork(value = 1)
+@Warmup(iterations = 3)
+@Measurement(iterations = 5)
+public class InPlanningBenchmark
+{
+  private static final Logger log = new Logger(SqlExpressionBenchmark.class);
+
+  static {
+    NullHandling.initializeForTests();
+    ExpressionProcessing.initializeForTests();
+  }
+
+  private static final DruidProcessingConfig PROCESSING_CONFIG = new 
DruidProcessingConfig()
+  {
+    @Override
+    public int intermediateComputeSizeBytes()
+    {
+      return 512 * 1024 * 1024;
+    }
+
+    @Override
+    public int getNumMergeBuffers()
+    {
+      return 3;
+    }
+
+    @Override
+    public int getNumThreads()
+    {
+      return 1;
+    }
+
+    @Override
+    public String getFormatString()
+    {
+      return "benchmarks-processing-%s";
+    }
+  };
+
+  @Param({"500000"})
+  private int rowsPerSegment;
+
+  @Param({"0", "2147483647"})
+  private int inSubQueryThreshold;
+
+  @Param({
+      "auto"
+  })
+  private String schema;
+
+  @Param({
+      "1", "10", "100", "1000", "10000", "100000", "1000000"
+  })
+  private Integer inClauseExprCount;
+  private SqlEngine engine;
+  @Nullable
+  private PlannerFactory plannerFactory;
+  private Closer closer = Closer.create();
+
+  @Setup(Level.Trial)
+  public void setup()
+  {
+    final GeneratorSchemaInfo schemaInfo = 
GeneratorBasicSchemas.SCHEMA_MAP.get("in-testbench");
+
+    final DataSegment dataSegment = DataSegment.builder()
+                                               .dataSource("foo")
+                                               
.interval(schemaInfo.getDataInterval())
+                                               .version("1")
+                                               .shardSpec(new 
LinearShardSpec(0))
+                                               .size(0)
+                                               .build();
+
+    final PlannerConfig plannerConfig = new PlannerConfig();
+
+    final SegmentGenerator segmentGenerator = closer.register(new 
SegmentGenerator());
+    log.info(
+        "Starting benchmark setup using cacheDir[%s], rows[%,d], schema[%s].",
+        segmentGenerator.getCacheDir(),
+        rowsPerSegment,
+        schema
+    );
+    final QueryableIndex index;
+    if ("auto".equals(schema)) {
+      List<DimensionSchema> columnSchemas = schemaInfo.getDimensionsSpec()
+                                                      .getDimensions()
+                                                      .stream()
+                                                      .map(x -> new 
AutoTypeColumnSchema(x.getName(), null))
+                                                      
.collect(Collectors.toList());
+      index = segmentGenerator.generate(
+          dataSegment,
+          schemaInfo,
+          DimensionsSpec.builder().setDimensions(columnSchemas).build(),
+          TransformSpec.NONE,
+          IndexSpec.DEFAULT,
+          Granularities.NONE,
+          rowsPerSegment
+      );
+    } else {
+      index = segmentGenerator.generate(dataSegment, schemaInfo, 
Granularities.NONE, rowsPerSegment);
+    }
+
+    final QueryRunnerFactoryConglomerate conglomerate = 
QueryStackTests.createQueryRunnerFactoryConglomerate(
+        closer,
+        PROCESSING_CONFIG
+    );
+
+    final SpecificSegmentsQuerySegmentWalker walker = new 
SpecificSegmentsQuerySegmentWalker(conglomerate).add(
+        dataSegment,
+        index
+    );
+    closer.register(walker);
+    final ObjectMapper jsonMapper = CalciteTests.getJsonMapper();
+    final DruidSchemaCatalog rootSchema =
+        CalciteTests.createMockRootSchema(conglomerate, walker, plannerConfig, 
AuthTestUtils.TEST_AUTHORIZER_MAPPER);
+    engine = CalciteTests.createMockSqlEngine(walker, conglomerate);
+    plannerFactory = new PlannerFactory(
+        rootSchema,
+        CalciteTests.createOperatorTable(),
+        CalciteTests.createExprMacroTable(),
+        plannerConfig,
+        AuthTestUtils.TEST_AUTHORIZER_MAPPER,
+        jsonMapper,
+        CalciteTests.DRUID_SCHEMA_NAME,
+        new CalciteRulesManager(ImmutableSet.of()),
+        CalciteTests.createJoinableFactoryWrapper(),
+        CatalogResolver.NULL_RESOLVER,
+        new AuthConfig()
+    );
+
+    StringBuilder sqlBuilder = new StringBuilder().append("explain plan for 
select long1 from foo where long1 in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();
+
+    try (final DruidPlanner planner = plannerFactory.createPlannerForTesting(
+        engine,
+        sql,
+        ImmutableMap.of(
+            "inSubQueryThreshold",
+            inSubQueryThreshold,
+            "useCache",
+            false
+        )
+    )) {
+      final PlannerResult plannerResult = planner.plan();
+      final Sequence<Object[]> resultSequence = 
plannerResult.run().getResults();
+      final Object[] planResult = resultSequence.toList().get(0);
+      log.info("Query plan:\n" +

Review Comment:
   nit: I've run this benchmark a few times; and this log was not-at-all 
helpfull; can we push it to `debug` or omit it if `inClauseExprCount > 100` or 
something?



##########
benchmarks/src/test/java/org/apache/druid/benchmark/query/InPlanningBenchmark.java:
##########
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.benchmark.query;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonMappingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import org.apache.druid.common.config.NullHandling;
+import org.apache.druid.data.input.impl.DimensionSchema;
+import org.apache.druid.data.input.impl.DimensionsSpec;
+import org.apache.druid.java.util.common.granularity.Granularities;
+import org.apache.druid.java.util.common.guava.Sequence;
+import org.apache.druid.java.util.common.io.Closer;
+import org.apache.druid.java.util.common.logger.Logger;
+import org.apache.druid.math.expr.ExpressionProcessing;
+import org.apache.druid.query.DruidProcessingConfig;
+import org.apache.druid.query.QueryRunnerFactoryConglomerate;
+import org.apache.druid.segment.AutoTypeColumnSchema;
+import org.apache.druid.segment.IndexSpec;
+import org.apache.druid.segment.QueryableIndex;
+import org.apache.druid.segment.generator.GeneratorBasicSchemas;
+import org.apache.druid.segment.generator.GeneratorSchemaInfo;
+import org.apache.druid.segment.generator.SegmentGenerator;
+import org.apache.druid.segment.transform.TransformSpec;
+import org.apache.druid.server.QueryStackTests;
+import org.apache.druid.server.SpecificSegmentsQuerySegmentWalker;
+import org.apache.druid.server.security.AuthConfig;
+import org.apache.druid.server.security.AuthTestUtils;
+import org.apache.druid.sql.calcite.planner.CalciteRulesManager;
+import org.apache.druid.sql.calcite.planner.CatalogResolver;
+import org.apache.druid.sql.calcite.planner.DruidPlanner;
+import org.apache.druid.sql.calcite.planner.PlannerConfig;
+import org.apache.druid.sql.calcite.planner.PlannerFactory;
+import org.apache.druid.sql.calcite.planner.PlannerResult;
+import org.apache.druid.sql.calcite.run.SqlEngine;
+import org.apache.druid.sql.calcite.schema.DruidSchemaCatalog;
+import org.apache.druid.sql.calcite.util.CalciteTests;
+import org.apache.druid.timeline.DataSegment;
+import org.apache.druid.timeline.partition.LinearShardSpec;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Level;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.TearDown;
+import org.openjdk.jmh.annotations.Warmup;
+import org.openjdk.jmh.infra.Blackhole;
+
+import javax.annotation.Nullable;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+/**
+ * Benchmark that tests various SQL queries.
+ */
+@State(Scope.Benchmark)
+@Fork(value = 1)
+@Warmup(iterations = 3)
+@Measurement(iterations = 5)
+public class InPlanningBenchmark
+{
+  private static final Logger log = new Logger(SqlExpressionBenchmark.class);
+
+  static {
+    NullHandling.initializeForTests();
+    ExpressionProcessing.initializeForTests();
+  }
+
+  private static final DruidProcessingConfig PROCESSING_CONFIG = new 
DruidProcessingConfig()
+  {
+    @Override
+    public int intermediateComputeSizeBytes()
+    {
+      return 512 * 1024 * 1024;
+    }
+
+    @Override
+    public int getNumMergeBuffers()
+    {
+      return 3;
+    }
+
+    @Override
+    public int getNumThreads()
+    {
+      return 1;
+    }
+
+    @Override
+    public String getFormatString()
+    {
+      return "benchmarks-processing-%s";
+    }
+  };
+
+  @Param({"500000"})
+  private int rowsPerSegment;
+
+  @Param({"0", "2147483647"})
+  private int inSubQueryThreshold;
+
+  @Param({
+      "auto"
+  })
+  private String schema;
+
+  @Param({
+      "1", "10", "100", "1000", "10000", "100000", "1000000"
+  })
+  private Integer inClauseExprCount;
+  private SqlEngine engine;
+  @Nullable
+  private PlannerFactory plannerFactory;
+  private Closer closer = Closer.create();
+
+  @Setup(Level.Trial)
+  public void setup()
+  {
+    final GeneratorSchemaInfo schemaInfo = 
GeneratorBasicSchemas.SCHEMA_MAP.get("in-testbench");
+
+    final DataSegment dataSegment = DataSegment.builder()
+                                               .dataSource("foo")
+                                               
.interval(schemaInfo.getDataInterval())
+                                               .version("1")
+                                               .shardSpec(new 
LinearShardSpec(0))
+                                               .size(0)
+                                               .build();
+
+    final PlannerConfig plannerConfig = new PlannerConfig();
+
+    final SegmentGenerator segmentGenerator = closer.register(new 
SegmentGenerator());
+    log.info(
+        "Starting benchmark setup using cacheDir[%s], rows[%,d], schema[%s].",
+        segmentGenerator.getCacheDir(),
+        rowsPerSegment,
+        schema
+    );
+    final QueryableIndex index;
+    if ("auto".equals(schema)) {
+      List<DimensionSchema> columnSchemas = schemaInfo.getDimensionsSpec()
+                                                      .getDimensions()
+                                                      .stream()
+                                                      .map(x -> new 
AutoTypeColumnSchema(x.getName(), null))
+                                                      
.collect(Collectors.toList());
+      index = segmentGenerator.generate(
+          dataSegment,
+          schemaInfo,
+          DimensionsSpec.builder().setDimensions(columnSchemas).build(),
+          TransformSpec.NONE,
+          IndexSpec.DEFAULT,
+          Granularities.NONE,
+          rowsPerSegment
+      );
+    } else {
+      index = segmentGenerator.generate(dataSegment, schemaInfo, 
Granularities.NONE, rowsPerSegment);
+    }
+
+    final QueryRunnerFactoryConglomerate conglomerate = 
QueryStackTests.createQueryRunnerFactoryConglomerate(
+        closer,
+        PROCESSING_CONFIG
+    );
+
+    final SpecificSegmentsQuerySegmentWalker walker = new 
SpecificSegmentsQuerySegmentWalker(conglomerate).add(
+        dataSegment,
+        index
+    );
+    closer.register(walker);
+    final ObjectMapper jsonMapper = CalciteTests.getJsonMapper();
+    final DruidSchemaCatalog rootSchema =
+        CalciteTests.createMockRootSchema(conglomerate, walker, plannerConfig, 
AuthTestUtils.TEST_AUTHORIZER_MAPPER);
+    engine = CalciteTests.createMockSqlEngine(walker, conglomerate);
+    plannerFactory = new PlannerFactory(
+        rootSchema,
+        CalciteTests.createOperatorTable(),
+        CalciteTests.createExprMacroTable(),
+        plannerConfig,
+        AuthTestUtils.TEST_AUTHORIZER_MAPPER,
+        jsonMapper,
+        CalciteTests.DRUID_SCHEMA_NAME,
+        new CalciteRulesManager(ImmutableSet.of()),
+        CalciteTests.createJoinableFactoryWrapper(),
+        CatalogResolver.NULL_RESOLVER,
+        new AuthConfig()
+    );
+
+    StringBuilder sqlBuilder = new StringBuilder().append("explain plan for 
select long1 from foo where long1 in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();
+
+    try (final DruidPlanner planner = plannerFactory.createPlannerForTesting(
+        engine,
+        sql,
+        ImmutableMap.of(
+            "inSubQueryThreshold",
+            inSubQueryThreshold,
+            "useCache",
+            false
+        )
+    )) {
+      final PlannerResult plannerResult = planner.plan();
+      final Sequence<Object[]> resultSequence = 
plannerResult.run().getResults();
+      final Object[] planResult = resultSequence.toList().get(0);
+      log.info("Query plan:\n" +
+               jsonMapper.writerWithDefaultPrettyPrinter()
+                         .writeValueAsString(jsonMapper.readValue((String) 
planResult[0], List.class))
+      );
+    }
+    catch (JsonMappingException e) {
+      throw new RuntimeException(e);
+    }
+    catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  @TearDown(Level.Trial)
+  public void tearDown() throws Exception
+  {
+    closer.close();
+  }
+
+  @BenchmarkMode(Mode.AverageTime)
+  @OutputTimeUnit(TimeUnit.MILLISECONDS)
+  public void queryInSql(Blackhole blackhole)
+  {
+    final Map<String, Object> context = ImmutableMap.of(
+        "inSubQueryThreshold", inSubQueryThreshold, "useCache", false
+    );
+    StringBuilder sqlBuilder = new StringBuilder().append("explain plan for 
select long1 from foo where long1 in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();
+
+    try (final DruidPlanner planner = 
plannerFactory.createPlannerForTesting(engine, sql, context)) {
+      final PlannerResult plannerResult = planner.plan();
+      final Sequence<Object[]> resultSequence = 
plannerResult.run().getResults();
+      final Object[] lastRow = resultSequence.accumulate(null, (accumulated, 
in) -> in);
+      blackhole.consume(lastRow);
+    }
+  }
+
+  @Benchmark
+  @BenchmarkMode(Mode.AverageTime)
+  @OutputTimeUnit(TimeUnit.MILLISECONDS)
+  public void queryEqualOrInSql(Blackhole blackhole)
+  {
+    final Map<String, Object> context = ImmutableMap.of(
+        "inSubQueryThreshold", inSubQueryThreshold, "useCache", false
+    );
+    StringBuilder sqlBuilder = new StringBuilder().append(
+        "explain plan for select long1 from foo where string1 = '7' or long1 
in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();
+
+    try (final DruidPlanner planner = 
plannerFactory.createPlannerForTesting(engine, sql, context)) {
+      final PlannerResult plannerResult = planner.plan();
+      final Sequence<Object[]> resultSequence = 
plannerResult.run().getResults();
+      final Object[] lastRow = resultSequence.accumulate(null, (accumulated, 
in) -> in);
+      blackhole.consume(lastRow);
+    }
+  }
+
+
+  @Benchmark
+  @BenchmarkMode(Mode.AverageTime)
+  @OutputTimeUnit(TimeUnit.MILLISECONDS)
+  public void queryMultiEqualOrInSql(Blackhole blackhole)
+  {
+    final Map<String, Object> context = ImmutableMap.of(
+        "inSubQueryThreshold", inSubQueryThreshold, "useCache", false
+    );
+    StringBuilder sqlBuilder = new StringBuilder().append(
+        "explain plan for select long1 from foo where string1 = '7' or string1 
= '8' or long1 in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();
+
+    try (final DruidPlanner planner = 
plannerFactory.createPlannerForTesting(engine, sql, context)) {
+      final PlannerResult plannerResult = planner.plan();
+      final Sequence<Object[]> resultSequence = 
plannerResult.run().getResults();
+      final Object[] lastRow = resultSequence.accumulate(null, (accumulated, 
in) -> in);
+      blackhole.consume(lastRow);
+    }

Review Comment:
   nit: this seems like a common pattern in all new tests - it could be 
extracted into a method



##########
benchmarks/src/test/java/org/apache/druid/benchmark/query/InPlanningBenchmark.java:
##########
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.benchmark.query;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonMappingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import org.apache.druid.common.config.NullHandling;
+import org.apache.druid.data.input.impl.DimensionSchema;
+import org.apache.druid.data.input.impl.DimensionsSpec;
+import org.apache.druid.java.util.common.granularity.Granularities;
+import org.apache.druid.java.util.common.guava.Sequence;
+import org.apache.druid.java.util.common.io.Closer;
+import org.apache.druid.java.util.common.logger.Logger;
+import org.apache.druid.math.expr.ExpressionProcessing;
+import org.apache.druid.query.DruidProcessingConfig;
+import org.apache.druid.query.QueryRunnerFactoryConglomerate;
+import org.apache.druid.segment.AutoTypeColumnSchema;
+import org.apache.druid.segment.IndexSpec;
+import org.apache.druid.segment.QueryableIndex;
+import org.apache.druid.segment.generator.GeneratorBasicSchemas;
+import org.apache.druid.segment.generator.GeneratorSchemaInfo;
+import org.apache.druid.segment.generator.SegmentGenerator;
+import org.apache.druid.segment.transform.TransformSpec;
+import org.apache.druid.server.QueryStackTests;
+import org.apache.druid.server.SpecificSegmentsQuerySegmentWalker;
+import org.apache.druid.server.security.AuthConfig;
+import org.apache.druid.server.security.AuthTestUtils;
+import org.apache.druid.sql.calcite.planner.CalciteRulesManager;
+import org.apache.druid.sql.calcite.planner.CatalogResolver;
+import org.apache.druid.sql.calcite.planner.DruidPlanner;
+import org.apache.druid.sql.calcite.planner.PlannerConfig;
+import org.apache.druid.sql.calcite.planner.PlannerFactory;
+import org.apache.druid.sql.calcite.planner.PlannerResult;
+import org.apache.druid.sql.calcite.run.SqlEngine;
+import org.apache.druid.sql.calcite.schema.DruidSchemaCatalog;
+import org.apache.druid.sql.calcite.util.CalciteTests;
+import org.apache.druid.timeline.DataSegment;
+import org.apache.druid.timeline.partition.LinearShardSpec;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Level;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.TearDown;
+import org.openjdk.jmh.annotations.Warmup;
+import org.openjdk.jmh.infra.Blackhole;
+
+import javax.annotation.Nullable;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+/**
+ * Benchmark that tests various SQL queries.
+ */
+@State(Scope.Benchmark)
+@Fork(value = 1)
+@Warmup(iterations = 3)
+@Measurement(iterations = 5)
+public class InPlanningBenchmark
+{
+  private static final Logger log = new Logger(SqlExpressionBenchmark.class);
+
+  static {
+    NullHandling.initializeForTests();
+    ExpressionProcessing.initializeForTests();
+  }
+
+  private static final DruidProcessingConfig PROCESSING_CONFIG = new 
DruidProcessingConfig()
+  {
+    @Override
+    public int intermediateComputeSizeBytes()
+    {
+      return 512 * 1024 * 1024;
+    }
+
+    @Override
+    public int getNumMergeBuffers()
+    {
+      return 3;
+    }
+
+    @Override
+    public int getNumThreads()
+    {
+      return 1;
+    }
+
+    @Override
+    public String getFormatString()
+    {
+      return "benchmarks-processing-%s";
+    }
+  };
+
+  @Param({"500000"})
+  private int rowsPerSegment;
+
+  @Param({"0", "2147483647"})
+  private int inSubQueryThreshold;
+
+  @Param({
+      "auto"
+  })
+  private String schema;
+
+  @Param({
+      "1", "10", "100", "1000", "10000", "100000", "1000000"
+  })
+  private Integer inClauseExprCount;
+  private SqlEngine engine;
+  @Nullable
+  private PlannerFactory plannerFactory;
+  private Closer closer = Closer.create();
+
+  @Setup(Level.Trial)
+  public void setup()
+  {
+    final GeneratorSchemaInfo schemaInfo = 
GeneratorBasicSchemas.SCHEMA_MAP.get("in-testbench");
+
+    final DataSegment dataSegment = DataSegment.builder()
+                                               .dataSource("foo")
+                                               
.interval(schemaInfo.getDataInterval())
+                                               .version("1")
+                                               .shardSpec(new 
LinearShardSpec(0))
+                                               .size(0)
+                                               .build();
+
+    final PlannerConfig plannerConfig = new PlannerConfig();
+
+    final SegmentGenerator segmentGenerator = closer.register(new 
SegmentGenerator());
+    log.info(
+        "Starting benchmark setup using cacheDir[%s], rows[%,d], schema[%s].",
+        segmentGenerator.getCacheDir(),
+        rowsPerSegment,
+        schema
+    );
+    final QueryableIndex index;
+    if ("auto".equals(schema)) {
+      List<DimensionSchema> columnSchemas = schemaInfo.getDimensionsSpec()
+                                                      .getDimensions()
+                                                      .stream()
+                                                      .map(x -> new 
AutoTypeColumnSchema(x.getName(), null))
+                                                      
.collect(Collectors.toList());
+      index = segmentGenerator.generate(
+          dataSegment,
+          schemaInfo,
+          DimensionsSpec.builder().setDimensions(columnSchemas).build(),
+          TransformSpec.NONE,
+          IndexSpec.DEFAULT,
+          Granularities.NONE,
+          rowsPerSegment
+      );
+    } else {
+      index = segmentGenerator.generate(dataSegment, schemaInfo, 
Granularities.NONE, rowsPerSegment);
+    }
+
+    final QueryRunnerFactoryConglomerate conglomerate = 
QueryStackTests.createQueryRunnerFactoryConglomerate(
+        closer,
+        PROCESSING_CONFIG
+    );
+
+    final SpecificSegmentsQuerySegmentWalker walker = new 
SpecificSegmentsQuerySegmentWalker(conglomerate).add(
+        dataSegment,
+        index
+    );
+    closer.register(walker);
+    final ObjectMapper jsonMapper = CalciteTests.getJsonMapper();
+    final DruidSchemaCatalog rootSchema =
+        CalciteTests.createMockRootSchema(conglomerate, walker, plannerConfig, 
AuthTestUtils.TEST_AUTHORIZER_MAPPER);
+    engine = CalciteTests.createMockSqlEngine(walker, conglomerate);
+    plannerFactory = new PlannerFactory(
+        rootSchema,
+        CalciteTests.createOperatorTable(),
+        CalciteTests.createExprMacroTable(),
+        plannerConfig,
+        AuthTestUtils.TEST_AUTHORIZER_MAPPER,
+        jsonMapper,
+        CalciteTests.DRUID_SCHEMA_NAME,
+        new CalciteRulesManager(ImmutableSet.of()),
+        CalciteTests.createJoinableFactoryWrapper(),
+        CatalogResolver.NULL_RESOLVER,
+        new AuthConfig()
+    );
+
+    StringBuilder sqlBuilder = new StringBuilder().append("explain plan for 
select long1 from foo where long1 in (");
+    IntStream.range(1, inClauseExprCount - 1).forEach(i -> 
sqlBuilder.append(i).append(","));
+    sqlBuilder.append(inClauseExprCount).append(")");
+    final String sql = sqlBuilder.toString();

Review Comment:
   note: this seems like the same as one of the tests; couldn't you reuse the 
test's code to do this?
   
   note: I also wonder if this is necessary - as benchmark framework also runs 
warmups .. or the sole reason  to have this is to show the query plan?



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