/
CalciteQueryTest.java
13953 lines (13408 loc) · 581 KB
/
CalciteQueryTest.java
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/*
* 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.sql.calcite;
import com.google.common.base.Joiner;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.ImmutableSet;
import org.apache.calcite.plan.RelOptPlanner;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.java.util.common.DateTimes;
import org.apache.druid.java.util.common.HumanReadableBytes;
import org.apache.druid.java.util.common.Intervals;
import org.apache.druid.java.util.common.JodaUtils;
import org.apache.druid.java.util.common.StringUtils;
import org.apache.druid.java.util.common.UOE;
import org.apache.druid.java.util.common.granularity.Granularities;
import org.apache.druid.java.util.common.granularity.PeriodGranularity;
import org.apache.druid.math.expr.ExprMacroTable;
import org.apache.druid.query.Druids;
import org.apache.druid.query.InlineDataSource;
import org.apache.druid.query.JoinDataSource;
import org.apache.druid.query.LookupDataSource;
import org.apache.druid.query.QueryContexts;
import org.apache.druid.query.QueryDataSource;
import org.apache.druid.query.ResourceLimitExceededException;
import org.apache.druid.query.TableDataSource;
import org.apache.druid.query.UnionDataSource;
import org.apache.druid.query.aggregation.AggregatorFactory;
import org.apache.druid.query.aggregation.CountAggregatorFactory;
import org.apache.druid.query.aggregation.DoubleMaxAggregatorFactory;
import org.apache.druid.query.aggregation.DoubleMinAggregatorFactory;
import org.apache.druid.query.aggregation.DoubleSumAggregatorFactory;
import org.apache.druid.query.aggregation.ExpressionLambdaAggregatorFactory;
import org.apache.druid.query.aggregation.FilteredAggregatorFactory;
import org.apache.druid.query.aggregation.FloatMaxAggregatorFactory;
import org.apache.druid.query.aggregation.FloatMinAggregatorFactory;
import org.apache.druid.query.aggregation.GroupingAggregatorFactory;
import org.apache.druid.query.aggregation.LongMaxAggregatorFactory;
import org.apache.druid.query.aggregation.LongMinAggregatorFactory;
import org.apache.druid.query.aggregation.LongSumAggregatorFactory;
import org.apache.druid.query.aggregation.any.DoubleAnyAggregatorFactory;
import org.apache.druid.query.aggregation.any.FloatAnyAggregatorFactory;
import org.apache.druid.query.aggregation.any.LongAnyAggregatorFactory;
import org.apache.druid.query.aggregation.any.StringAnyAggregatorFactory;
import org.apache.druid.query.aggregation.cardinality.CardinalityAggregatorFactory;
import org.apache.druid.query.aggregation.first.DoubleFirstAggregatorFactory;
import org.apache.druid.query.aggregation.first.FloatFirstAggregatorFactory;
import org.apache.druid.query.aggregation.first.LongFirstAggregatorFactory;
import org.apache.druid.query.aggregation.first.StringFirstAggregatorFactory;
import org.apache.druid.query.aggregation.hyperloglog.HyperUniqueFinalizingPostAggregator;
import org.apache.druid.query.aggregation.hyperloglog.HyperUniquesAggregatorFactory;
import org.apache.druid.query.aggregation.last.DoubleLastAggregatorFactory;
import org.apache.druid.query.aggregation.last.FloatLastAggregatorFactory;
import org.apache.druid.query.aggregation.last.LongLastAggregatorFactory;
import org.apache.druid.query.aggregation.last.StringLastAggregatorFactory;
import org.apache.druid.query.aggregation.post.ArithmeticPostAggregator;
import org.apache.druid.query.aggregation.post.ExpressionPostAggregator;
import org.apache.druid.query.aggregation.post.FieldAccessPostAggregator;
import org.apache.druid.query.aggregation.post.FinalizingFieldAccessPostAggregator;
import org.apache.druid.query.dimension.DefaultDimensionSpec;
import org.apache.druid.query.dimension.ExtractionDimensionSpec;
import org.apache.druid.query.expression.TestExprMacroTable;
import org.apache.druid.query.extraction.RegexDimExtractionFn;
import org.apache.druid.query.extraction.SubstringDimExtractionFn;
import org.apache.druid.query.filter.BoundDimFilter;
import org.apache.druid.query.filter.DimFilter;
import org.apache.druid.query.filter.InDimFilter;
import org.apache.druid.query.filter.LikeDimFilter;
import org.apache.druid.query.filter.RegexDimFilter;
import org.apache.druid.query.filter.SelectorDimFilter;
import org.apache.druid.query.groupby.GroupByQuery;
import org.apache.druid.query.groupby.GroupByQueryConfig;
import org.apache.druid.query.groupby.orderby.DefaultLimitSpec;
import org.apache.druid.query.groupby.orderby.OrderByColumnSpec;
import org.apache.druid.query.groupby.orderby.OrderByColumnSpec.Direction;
import org.apache.druid.query.lookup.RegisteredLookupExtractionFn;
import org.apache.druid.query.ordering.StringComparators;
import org.apache.druid.query.scan.ScanQuery;
import org.apache.druid.query.scan.ScanQuery.ResultFormat;
import org.apache.druid.query.spec.MultipleIntervalSegmentSpec;
import org.apache.druid.query.topn.DimensionTopNMetricSpec;
import org.apache.druid.query.topn.InvertedTopNMetricSpec;
import org.apache.druid.query.topn.NumericTopNMetricSpec;
import org.apache.druid.query.topn.TopNQueryBuilder;
import org.apache.druid.segment.VirtualColumn;
import org.apache.druid.segment.VirtualColumns;
import org.apache.druid.segment.column.ColumnType;
import org.apache.druid.segment.column.RowSignature;
import org.apache.druid.segment.join.JoinType;
import org.apache.druid.sql.SqlPlanningException;
import org.apache.druid.sql.SqlPlanningException.PlanningError;
import org.apache.druid.sql.calcite.expression.DruidExpression;
import org.apache.druid.sql.calcite.filtration.Filtration;
import org.apache.druid.sql.calcite.planner.Calcites;
import org.apache.druid.sql.calcite.planner.PlannerConfig;
import org.apache.druid.sql.calcite.planner.PlannerContext;
import org.apache.druid.sql.calcite.rel.CannotBuildQueryException;
import org.apache.druid.sql.calcite.util.CalciteTests;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;
import org.joda.time.Interval;
import org.joda.time.Period;
import org.junit.Assert;
import org.junit.Ignore;
import org.junit.Test;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
public class CalciteQueryTest extends BaseCalciteQueryTest
{
@Test
public void testGroupByWithPostAggregatorReferencingTimeFloorColumnOnTimeseries() throws Exception
{
cannotVectorize();
testQuery(
"SELECT TIME_FORMAT(\"date\", 'yyyy-MM'), SUM(x)\n"
+ "FROM (\n"
+ " SELECT\n"
+ " FLOOR(__time to hour) as \"date\",\n"
+ " COUNT(*) as x\n"
+ " FROM foo\n"
+ " GROUP BY 1\n"
+ ")\n"
+ "GROUP BY 1",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(
Druids.newTimeseriesQueryBuilder()
.dataSource(CalciteTests.DATASOURCE1)
.intervals(querySegmentSpec(Filtration.eternity()))
.granularity(Granularities.HOUR)
.aggregators(aggregators(new CountAggregatorFactory("a0")))
.context(getTimeseriesContextWithFloorTime(TIMESERIES_CONTEXT_BY_GRAN, "d0"))
.build()
)
.setInterval(querySegmentSpec(Intervals.ETERNITY))
.setVirtualColumns(
expressionVirtualColumn(
"v0",
"timestamp_format(\"d0\",'yyyy-MM','UTC')",
ColumnType.STRING
)
)
.setGranularity(Granularities.ALL)
.addDimension(new DefaultDimensionSpec("v0", "_d0"))
.addAggregator(new LongSumAggregatorFactory("_a0", "a0"))
.build()
),
ImmutableList.of(
new Object[]{"2000-01", 3L},
new Object[]{"2001-01", 3L}
)
);
}
@Test
public void testInformationSchemaSchemata() throws Exception
{
testQuery(
"SELECT DISTINCT SCHEMA_NAME FROM INFORMATION_SCHEMA.SCHEMATA",
ImmutableList.of(),
ImmutableList.of(
new Object[]{"lookup"},
new Object[]{"view"},
new Object[]{"druid"},
new Object[]{"sys"},
new Object[]{"INFORMATION_SCHEMA"}
)
);
}
@Test
public void testInformationSchemaTables() throws Exception
{
testQuery(
"SELECT TABLE_SCHEMA, TABLE_NAME, TABLE_TYPE, IS_JOINABLE, IS_BROADCAST\n"
+ "FROM INFORMATION_SCHEMA.TABLES\n"
+ "WHERE TABLE_TYPE IN ('SYSTEM_TABLE', 'TABLE', 'VIEW')",
ImmutableList.of(),
ImmutableList.<Object[]>builder()
.add(new Object[]{"druid", CalciteTests.BROADCAST_DATASOURCE, "TABLE", "YES", "YES"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE1, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE2, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE4, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE5, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE3, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.SOME_DATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.SOMEXDATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.USERVISITDATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "COLUMNS", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "SCHEMATA", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "TABLES", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"lookup", "lookyloo", "TABLE", "YES", "YES"})
.add(new Object[]{"sys", "segments", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "server_segments", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "servers", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "supervisors", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "tasks", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"view", "aview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "bview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "cview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "dview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "invalidView", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "restrictedView", "VIEW", "NO", "NO"})
.build()
);
testQuery(
PLANNER_CONFIG_DEFAULT,
"SELECT TABLE_SCHEMA, TABLE_NAME, TABLE_TYPE, IS_JOINABLE, IS_BROADCAST\n"
+ "FROM INFORMATION_SCHEMA.TABLES\n"
+ "WHERE TABLE_TYPE IN ('SYSTEM_TABLE', 'TABLE', 'VIEW')",
CalciteTests.SUPER_USER_AUTH_RESULT,
ImmutableList.of(),
ImmutableList.<Object[]>builder()
.add(new Object[]{"druid", CalciteTests.BROADCAST_DATASOURCE, "TABLE", "YES", "YES"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE1, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE2, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE4, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.FORBIDDEN_DATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE5, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.DATASOURCE3, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.SOME_DATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.SOMEXDATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"druid", CalciteTests.USERVISITDATASOURCE, "TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "COLUMNS", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "SCHEMATA", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"INFORMATION_SCHEMA", "TABLES", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"lookup", "lookyloo", "TABLE", "YES", "YES"})
.add(new Object[]{"sys", "segments", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "server_segments", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "servers", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "supervisors", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"sys", "tasks", "SYSTEM_TABLE", "NO", "NO"})
.add(new Object[]{"view", "aview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "bview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "cview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "dview", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "forbiddenView", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "invalidView", "VIEW", "NO", "NO"})
.add(new Object[]{"view", "restrictedView", "VIEW", "NO", "NO"})
.build()
);
}
@Test
public void testInformationSchemaColumnsOnTable() throws Exception
{
testQuery(
"SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'druid' AND TABLE_NAME = 'foo'",
ImmutableList.of(),
ImmutableList.of(
new Object[]{"__time", "TIMESTAMP", "NO"},
new Object[]{"cnt", "BIGINT", useDefault ? "NO" : "YES"},
new Object[]{"dim1", "VARCHAR", "YES"},
new Object[]{"dim2", "VARCHAR", "YES"},
new Object[]{"dim3", "VARCHAR", "YES"},
new Object[]{"m1", "FLOAT", useDefault ? "NO" : "YES"},
new Object[]{"m2", "DOUBLE", useDefault ? "NO" : "YES"},
new Object[]{"unique_dim1", "COMPLEX<hyperUnique>", "YES"}
)
);
}
@Test
public void testInformationSchemaColumnsOnForbiddenTable() throws Exception
{
testQuery(
"SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'druid' AND TABLE_NAME = 'forbiddenDatasource'",
ImmutableList.of(),
ImmutableList.of()
);
testQuery(
PLANNER_CONFIG_DEFAULT,
"SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'druid' AND TABLE_NAME = 'forbiddenDatasource'",
CalciteTests.SUPER_USER_AUTH_RESULT,
ImmutableList.of(),
ImmutableList.of(
new Object[]{"__time", "TIMESTAMP", "NO"},
new Object[]{"cnt", "BIGINT", useDefault ? "NO" : "YES"},
new Object[]{"dim1", "VARCHAR", "YES"},
new Object[]{"dim2", "VARCHAR", "YES"},
new Object[]{"m1", "FLOAT", useDefault ? "NO" : "YES"},
new Object[]{"m2", "DOUBLE", useDefault ? "NO" : "YES"},
new Object[]{"unique_dim1", "COMPLEX<hyperUnique>", "YES"}
)
);
}
@Test
public void testInformationSchemaColumnsOnView() throws Exception
{
testQuery(
"SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'view' AND TABLE_NAME = 'aview'",
ImmutableList.of(),
ImmutableList.of(
new Object[]{"dim1_firstchar", "VARCHAR", "YES"}
)
);
}
@Test
public void testInformationSchemaColumnsOnAnotherView() throws Exception
{
testQuery(
"SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'view' AND TABLE_NAME = 'cview'",
ImmutableList.of(),
ImmutableList.of(
new Object[]{"dim1_firstchar", "VARCHAR", "YES"},
new Object[]{"dim2", "VARCHAR", "YES"},
new Object[]{"l2", "BIGINT", useDefault ? "NO" : "YES"}
)
);
}
@Test
public void testExplainInformationSchemaColumns() throws Exception
{
final String explanation =
"BindableProject(COLUMN_NAME=[$3], DATA_TYPE=[$7])\n"
+ " BindableFilter(condition=[AND(=($1, 'druid'), =($2, 'foo'))])\n"
+ " BindableTableScan(table=[[INFORMATION_SCHEMA, COLUMNS]])\n";
final String resources = "[]";
testQuery(
"EXPLAIN PLAN FOR\n"
+ "SELECT COLUMN_NAME, DATA_TYPE\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'druid' AND TABLE_NAME = 'foo'",
ImmutableList.of(),
ImmutableList.of(
new Object[]{explanation, resources}
)
);
}
@Test
public void testAggregatorsOnInformationSchemaColumns() throws Exception
{
// Not including COUNT DISTINCT, since it isn't supported by BindableAggregate, and so it can't work.
testQuery(
"SELECT\n"
+ " COUNT(JDBC_TYPE),\n"
+ " SUM(JDBC_TYPE),\n"
+ " AVG(JDBC_TYPE),\n"
+ " MIN(JDBC_TYPE),\n"
+ " MAX(JDBC_TYPE)\n"
+ "FROM INFORMATION_SCHEMA.COLUMNS\n"
+ "WHERE TABLE_SCHEMA = 'druid' AND TABLE_NAME = 'foo'",
ImmutableList.of(),
ImmutableList.of(
new Object[]{8L, 1249L, 156L, -5L, 1111L}
)
);
}
@Test
public void testTopNLimitWrapping() throws Exception
{
List<Object[]> expected;
if (NullHandling.replaceWithDefault()) {
expected = ImmutableList.of(
new Object[]{"", 1L},
new Object[]{"def", 1L}
);
} else {
expected = ImmutableList.of(
new Object[]{"def", 1L},
new Object[]{"abc", 1L}
);
}
testQuery(
"SELECT dim1, COUNT(*) FROM druid.foo GROUP BY dim1 ORDER BY dim1 DESC",
OUTER_LIMIT_CONTEXT,
ImmutableList.of(
new TopNQueryBuilder()
.dataSource(CalciteTests.DATASOURCE1)
.intervals(querySegmentSpec(Filtration.eternity()))
.dimension(new DefaultDimensionSpec("dim1", "d0", ColumnType.STRING))
.threshold(2)
.aggregators(aggregators(new CountAggregatorFactory("a0")))
.metric(
new InvertedTopNMetricSpec(
new DimensionTopNMetricSpec(null, StringComparators.LEXICOGRAPHIC)
)
)
.context(OUTER_LIMIT_CONTEXT)
.build()
),
expected
);
}
@Test
public void testTopNLimitWrappingOrderByAgg() throws Exception
{
testQuery(
"SELECT dim1, COUNT(*) FROM druid.foo GROUP BY 1 ORDER BY 2 DESC",
OUTER_LIMIT_CONTEXT,
ImmutableList.of(
new TopNQueryBuilder()
.dataSource(CalciteTests.DATASOURCE1)
.intervals(querySegmentSpec(Filtration.eternity()))
.dimension(new DefaultDimensionSpec("dim1", "d0", ColumnType.STRING))
.threshold(2)
.aggregators(aggregators(new CountAggregatorFactory("a0")))
.metric("a0")
.context(OUTER_LIMIT_CONTEXT)
.build()
),
ImmutableList.of(new Object[]{"", 1L}, new Object[]{"1", 1L})
);
}
@Test
public void testGroupByLimitWrapping() throws Exception
{
List<Object[]> expected;
if (NullHandling.replaceWithDefault()) {
expected = ImmutableList.of(
new Object[]{"def", "abc", 1L},
new Object[]{"abc", "", 1L}
);
} else {
expected = ImmutableList.of(
new Object[]{"def", "abc", 1L},
new Object[]{"abc", null, 1L}
);
}
testQuery(
"SELECT dim1, dim2, COUNT(*) FROM druid.foo GROUP BY dim1, dim2 ORDER BY dim1 DESC",
OUTER_LIMIT_CONTEXT,
ImmutableList.of(
new GroupByQuery.Builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(
new DefaultDimensionSpec("dim1", "d0", ColumnType.STRING),
new DefaultDimensionSpec("dim2", "d1", ColumnType.STRING)
)
.setLimitSpec(
DefaultLimitSpec
.builder()
.orderBy(new OrderByColumnSpec("d0", Direction.DESCENDING, StringComparators.LEXICOGRAPHIC))
.limit(2)
.build()
)
.setAggregatorSpecs(aggregators(new CountAggregatorFactory("a0")))
.setContext(OUTER_LIMIT_CONTEXT)
.build()
),
expected
);
}
@Test
public void testGroupByWithForceLimitPushDown() throws Exception
{
final Map<String, Object> context = new HashMap<>(QUERY_CONTEXT_DEFAULT);
context.put(GroupByQueryConfig.CTX_KEY_FORCE_LIMIT_PUSH_DOWN, true);
testQuery(
"SELECT dim1, dim2, COUNT(*) FROM druid.foo GROUP BY dim1, dim2 limit 1",
context,
ImmutableList.of(
new GroupByQuery.Builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(
new DefaultDimensionSpec("dim1", "d0", ColumnType.STRING),
new DefaultDimensionSpec("dim2", "d1", ColumnType.STRING)
)
.setLimitSpec(
new DefaultLimitSpec(
ImmutableList.of(),
1
)
)
.setAggregatorSpecs(aggregators(new CountAggregatorFactory("a0")))
.setContext(context)
.build()
),
ImmutableList.of(new Object[]{"", "a", 1L})
);
}
@Test
public void testGroupByLimitWrappingOrderByAgg() throws Exception
{
testQuery(
"SELECT dim1, dim2, COUNT(*) FROM druid.foo GROUP BY 1, 2 ORDER BY 3 DESC",
OUTER_LIMIT_CONTEXT,
ImmutableList.of(
new GroupByQuery.Builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(
new DefaultDimensionSpec("dim1", "d0", ColumnType.STRING),
new DefaultDimensionSpec("dim2", "d1", ColumnType.STRING)
)
.setLimitSpec(
DefaultLimitSpec
.builder()
.orderBy(new OrderByColumnSpec("a0", Direction.DESCENDING, StringComparators.NUMERIC))
.limit(2)
.build()
)
.setAggregatorSpecs(aggregators(new CountAggregatorFactory("a0")))
.setContext(OUTER_LIMIT_CONTEXT)
.build()
),
ImmutableList.of(
new Object[]{"", "a", 1L},
new Object[]{"1", "a", 1L}
)
);
}
@Test
public void testGroupBySingleColumnDescendingNoTopN() throws Exception
{
testQuery(
PLANNER_CONFIG_DEFAULT,
"SELECT dim1 FROM druid.foo GROUP BY dim1 ORDER BY dim1 DESC",
CalciteTests.REGULAR_USER_AUTH_RESULT,
ImmutableList.of(
new GroupByQuery.Builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setDimensions(dimensions(new DefaultDimensionSpec("dim1", "d0")))
.setGranularity(Granularities.ALL)
.setLimitSpec(
DefaultLimitSpec
.builder()
.orderBy(
new OrderByColumnSpec(
"d0",
OrderByColumnSpec.Direction.DESCENDING,
StringComparators.LEXICOGRAPHIC
)
)
.build()
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
),
ImmutableList.of(
new Object[]{"def"},
new Object[]{"abc"},
new Object[]{"2"},
new Object[]{"10.1"},
new Object[]{"1"},
new Object[]{""}
)
);
}
@Test
public void testEarliestAggregators() throws Exception
{
// Cannot vectorize EARLIEST aggregator.
skipVectorize();
testQuery(
"SELECT "
+ "EARLIEST(cnt), EARLIEST(m1), EARLIEST(dim1, 10), "
+ "EARLIEST(cnt + 1), EARLIEST(m1 + 1), EARLIEST(dim1 || CAST(cnt AS VARCHAR), 10), "
+ "EARLIEST_BY(cnt, MILLIS_TO_TIMESTAMP(l1)), EARLIEST_BY(m1, MILLIS_TO_TIMESTAMP(l1)), EARLIEST_BY(dim1, MILLIS_TO_TIMESTAMP(l1), 10), "
+ "EARLIEST_BY(cnt + 1, MILLIS_TO_TIMESTAMP(l1)), EARLIEST_BY(m1 + 1, MILLIS_TO_TIMESTAMP(l1)), EARLIEST_BY(dim1 || CAST(cnt AS VARCHAR), MILLIS_TO_TIMESTAMP(l1), 10) "
+ "FROM druid.numfoo",
ImmutableList.of(
Druids.newTimeseriesQueryBuilder()
.dataSource(CalciteTests.DATASOURCE3)
.intervals(querySegmentSpec(Filtration.eternity()))
.granularity(Granularities.ALL)
.virtualColumns(
expressionVirtualColumn("v0", "(\"cnt\" + 1)", ColumnType.LONG),
expressionVirtualColumn("v1", "(\"m1\" + 1)", ColumnType.FLOAT),
expressionVirtualColumn("v2", "concat(\"dim1\",CAST(\"cnt\", 'STRING'))", ColumnType.STRING)
)
.aggregators(
aggregators(
new LongFirstAggregatorFactory("a0", "cnt", null),
new FloatFirstAggregatorFactory("a1", "m1", null),
new StringFirstAggregatorFactory("a2", "dim1", null, 10),
new LongFirstAggregatorFactory("a3", "v0", null),
new FloatFirstAggregatorFactory("a4", "v1", null),
new StringFirstAggregatorFactory("a5", "v2", null, 10),
new LongFirstAggregatorFactory("a6", "cnt", "l1"),
new FloatFirstAggregatorFactory("a7", "m1", "l1"),
new StringFirstAggregatorFactory("a8", "dim1", "l1", 10),
new LongFirstAggregatorFactory("a9", "v0", "l1"),
new FloatFirstAggregatorFactory("a10", "v1", "l1"),
new StringFirstAggregatorFactory("a11", "v2", "l1", 10)
)
)
.context(QUERY_CONTEXT_DEFAULT)
.build()
),
ImmutableList.of(
new Object[]{1L, 1.0f, "", 2L, 2.0f, "1", 1L, 3.0f, "2", 2L, 4.0f, "21"}
)
);
}
@Test
public void testLatestAggregators() throws Exception
{
// Cannot vectorize LATEST aggregator.
skipVectorize();
testQuery(
"SELECT "
+ "LATEST(cnt), LATEST(m1), LATEST(dim1, 10), "
+ "LATEST(cnt + 1), LATEST(m1 + 1), LATEST(dim1 || CAST(cnt AS VARCHAR), 10), "
+ "LATEST_BY(cnt, MILLIS_TO_TIMESTAMP(l1)), LATEST_BY(m1, MILLIS_TO_TIMESTAMP(l1)), LATEST_BY(dim1, MILLIS_TO_TIMESTAMP(l1), 10), "
+ "LATEST_BY(cnt + 1, MILLIS_TO_TIMESTAMP(l1)), LATEST_BY(m1 + 1, MILLIS_TO_TIMESTAMP(l1)), LATEST_BY(dim1 || CAST(cnt AS VARCHAR), MILLIS_TO_TIMESTAMP(l1), 10) "
+ "FROM druid.numfoo",
ImmutableList.of(
Druids.newTimeseriesQueryBuilder()
.dataSource(CalciteTests.DATASOURCE3)
.intervals(querySegmentSpec(Filtration.eternity()))
.granularity(Granularities.ALL)
.virtualColumns(
expressionVirtualColumn("v0", "(\"cnt\" + 1)", ColumnType.LONG),
expressionVirtualColumn("v1", "(\"m1\" + 1)", ColumnType.FLOAT),
expressionVirtualColumn("v2", "concat(\"dim1\",CAST(\"cnt\", 'STRING'))", ColumnType.STRING)
)
.aggregators(
aggregators(
new LongLastAggregatorFactory("a0", "cnt", null),
new FloatLastAggregatorFactory("a1", "m1", null),
new StringLastAggregatorFactory("a2", "dim1", null, 10),
new LongLastAggregatorFactory("a3", "v0", null),
new FloatLastAggregatorFactory("a4", "v1", null),
new StringLastAggregatorFactory("a5", "v2", null, 10),
new LongLastAggregatorFactory("a6", "cnt", "l1"),
new FloatLastAggregatorFactory("a7", "m1", "l1"),
new StringLastAggregatorFactory("a8", "dim1", "l1", 10),
new LongLastAggregatorFactory("a9", "v0", "l1"),
new FloatLastAggregatorFactory("a10", "v1", "l1"),
new StringLastAggregatorFactory("a11", "v2", "l1", 10)
)
)
.context(QUERY_CONTEXT_DEFAULT)
.build()
),
ImmutableList.of(
new Object[]{1L, 6.0f, "abc", 2L, 7.0f, "abc1", 1L, 2.0f, "10.1", 2L, 3.0f, "10.11"}
)
);
}
@Test
public void testEarliestByInvalidTimestamp() throws Exception
{
expectedException.expect(SqlPlanningException.class);
expectedException.expectMessage("Cannot apply 'EARLIEST_BY' to arguments of type 'EARLIEST_BY(<FLOAT>, <BIGINT>)");
testQuery(
"SELECT EARLIEST_BY(m1, l1) FROM druid.numfoo",
ImmutableList.of(),
ImmutableList.of()
);
}
@Test
public void testLatestByInvalidTimestamp() throws Exception
{
expectedException.expect(SqlPlanningException.class);
expectedException.expectMessage("Cannot apply 'LATEST_BY' to arguments of type 'LATEST_BY(<FLOAT>, <BIGINT>)");
testQuery(
"SELECT LATEST_BY(m1, l1) FROM druid.numfoo",
ImmutableList.of(),
ImmutableList.of()
);
}
// This test the on-heap version of the AnyAggregator (Double/Float/Long/String)
@Test
public void testAnyAggregator() throws Exception
{
// Cannot vectorize virtual expressions.
skipVectorize();
testQuery(
"SELECT "
+ "ANY_VALUE(cnt), ANY_VALUE(m1), ANY_VALUE(m2), ANY_VALUE(dim1, 10), "
+ "ANY_VALUE(cnt + 1), ANY_VALUE(m1 + 1), ANY_VALUE(dim1 || CAST(cnt AS VARCHAR), 10) "
+ "FROM druid.foo",
ImmutableList.of(
Druids.newTimeseriesQueryBuilder()
.dataSource(CalciteTests.DATASOURCE1)
.intervals(querySegmentSpec(Filtration.eternity()))
.granularity(Granularities.ALL)
.virtualColumns(
expressionVirtualColumn("v0", "(\"cnt\" + 1)", ColumnType.LONG),
expressionVirtualColumn("v1", "(\"m1\" + 1)", ColumnType.FLOAT),
expressionVirtualColumn("v2", "concat(\"dim1\",CAST(\"cnt\", 'STRING'))", ColumnType.STRING)
)
.aggregators(
aggregators(
new LongAnyAggregatorFactory("a0", "cnt"),
new FloatAnyAggregatorFactory("a1", "m1"),
new DoubleAnyAggregatorFactory("a2", "m2"),
new StringAnyAggregatorFactory("a3", "dim1", 10),
new LongAnyAggregatorFactory("a4", "v0"),
new FloatAnyAggregatorFactory("a5", "v1"),
new StringAnyAggregatorFactory("a6", "v2", 10)
)
)
.context(QUERY_CONTEXT_DEFAULT)
.build()
),
NullHandling.sqlCompatible()
? ImmutableList.of(new Object[]{1L, 1.0f, 1.0, "", 2L, 2.0f, "1"})
: ImmutableList.of(new Object[]{1L, 1.0f, 1.0, "", 2L, 2.0f, "1"})
);
}
// This test the on-heap version of the AnyAggregator (Double/Float/Long) against numeric columns
// that have null values (when run in SQL compatible null mode)
@Test
public void testAnyAggregatorsOnHeapNumericNulls() throws Exception
{
testQuery(
"SELECT ANY_VALUE(l1), ANY_VALUE(d1), ANY_VALUE(f1) FROM druid.numfoo",
ImmutableList.of(
Druids.newTimeseriesQueryBuilder()
.dataSource(CalciteTests.DATASOURCE3)
.intervals(querySegmentSpec(Filtration.eternity()))
.granularity(Granularities.ALL)
.aggregators(
aggregators(
new LongAnyAggregatorFactory("a0", "l1"),
new DoubleAnyAggregatorFactory("a1", "d1"),
new FloatAnyAggregatorFactory("a2", "f1")
)
)
.context(QUERY_CONTEXT_DEFAULT)
.build()
),
ImmutableList.of(
new Object[]{7L, 1.0, 1.0f}
)
);
}
// This test the off-heap (buffer) version of the AnyAggregator (Double/Float/Long) against numeric columns
// that have null values (when run in SQL compatible null mode)
@Test
public void testAnyAggregatorsOffHeapNumericNulls() throws Exception
{
testQuery(
"SELECT ANY_VALUE(l1), ANY_VALUE(d1), ANY_VALUE(f1) FROM druid.numfoo GROUP BY dim2",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(CalciteTests.DATASOURCE3)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(dimensions(new DefaultDimensionSpec("dim2", "_d0")))
.setAggregatorSpecs(
aggregators(
new LongAnyAggregatorFactory("a0", "l1"),
new DoubleAnyAggregatorFactory("a1", "d1"),
new FloatAnyAggregatorFactory("a2", "f1")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
),
NullHandling.sqlCompatible()
? ImmutableList.of(
new Object[]{325323L, 1.7, 0.1f},
new Object[]{0L, 0.0, 0.0f},
new Object[]{7L, 1.0, 1.0f},
new Object[]{null, null, null}
)
: ImmutableList.of(
new Object[]{325323L, 1.7, 0.1f},
new Object[]{7L, 1.0, 1.0f},
new Object[]{0L, 0.0, 0.0f}
)
);
}
// This test the off-heap (buffer) version of the LatestAggregator (Double/Float/Long)
@Test
public void testPrimitiveLatestInSubquery() throws Exception
{
// Cannot vectorize LATEST aggregator.
skipVectorize();
testQuery(
"SELECT SUM(val1), SUM(val2), SUM(val3) FROM (SELECT dim2, LATEST(m1) AS val1, LATEST(cnt) AS val2, LATEST(m2) AS val3 FROM foo GROUP BY dim2)",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(
GroupByQuery.builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(dimensions(new DefaultDimensionSpec("dim2", "d0")))
.setAggregatorSpecs(aggregators(
new FloatLastAggregatorFactory("a0:a", "m1", null),
new LongLastAggregatorFactory("a1:a", "cnt", null),
new DoubleLastAggregatorFactory("a2:a", "m2", null)
)
)
.setPostAggregatorSpecs(
ImmutableList.of(
new FinalizingFieldAccessPostAggregator("a0", "a0:a"),
new FinalizingFieldAccessPostAggregator("a1", "a1:a"),
new FinalizingFieldAccessPostAggregator("a2", "a2:a")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setAggregatorSpecs(aggregators(
new DoubleSumAggregatorFactory("_a0", "a0"),
new LongSumAggregatorFactory("_a1", "a1"),
new DoubleSumAggregatorFactory("_a2", "a2")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
),
NullHandling.sqlCompatible()
? ImmutableList.of(new Object[]{18.0, 4L, 18.0})
: ImmutableList.of(new Object[]{15.0, 3L, 15.0})
);
}
// This test the off-heap (buffer) version of the EarliestAggregator (Double/Float/Long)
@Test
public void testPrimitiveEarliestInSubquery() throws Exception
{
// Cannot vectorize EARLIEST aggregator.
skipVectorize();
testQuery(
"SELECT SUM(val1), SUM(val2), SUM(val3) FROM (SELECT dim2, EARLIEST(m1) AS val1, EARLIEST(cnt) AS val2, EARLIEST(m2) AS val3 FROM foo GROUP BY dim2)",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(
GroupByQuery.builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(dimensions(new DefaultDimensionSpec("dim2", "d0")))
.setAggregatorSpecs(aggregators(
new FloatFirstAggregatorFactory("a0:a", "m1", null),
new LongFirstAggregatorFactory("a1:a", "cnt", null),
new DoubleFirstAggregatorFactory("a2:a", "m2", null)
)
)
.setPostAggregatorSpecs(
ImmutableList.of(
new FinalizingFieldAccessPostAggregator("a0", "a0:a"),
new FinalizingFieldAccessPostAggregator("a1", "a1:a"),
new FinalizingFieldAccessPostAggregator("a2", "a2:a")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setAggregatorSpecs(aggregators(
new DoubleSumAggregatorFactory("_a0", "a0"),
new LongSumAggregatorFactory("_a1", "a1"),
new DoubleSumAggregatorFactory("_a2", "a2")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
),
NullHandling.sqlCompatible()
? ImmutableList.of(new Object[]{11.0, 4L, 11.0})
: ImmutableList.of(new Object[]{8.0, 3L, 8.0})
);
}
// This test the off-heap (buffer) version of the LatestAggregator (String)
@Test
public void testStringLatestInSubquery() throws Exception
{
// Cannot vectorize LATEST aggregator.
skipVectorize();
testQuery(
"SELECT SUM(val) FROM (SELECT dim2, LATEST(dim1, 10) AS val FROM foo GROUP BY dim2)",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(
GroupByQuery.builder()
.setDataSource(CalciteTests.DATASOURCE1)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setDimensions(dimensions(new DefaultDimensionSpec("dim2", "d0")))
.setAggregatorSpecs(aggregators(new StringLastAggregatorFactory(
"a0:a",
"dim1",
null,
10
)))
.setPostAggregatorSpecs(
ImmutableList.of(
new FinalizingFieldAccessPostAggregator("a0", "a0:a")
)
)
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
)
.setInterval(querySegmentSpec(Filtration.eternity()))
.setGranularity(Granularities.ALL)
.setVirtualColumns(
expressionVirtualColumn("v0", "CAST(\"a0\", 'DOUBLE')", ColumnType.DOUBLE)
)
.setAggregatorSpecs(aggregators(new DoubleSumAggregatorFactory(
"_a0",
"v0",
null,
ExprMacroTable.nil()
)))
.setContext(QUERY_CONTEXT_DEFAULT)
.build()
),
ImmutableList.of(
new Object[]{NullHandling.sqlCompatible() ? 3 : 1.0}
)
);
}
// This test the off-heap (buffer) version of the EarliestAggregator (String)
@Test
public void testStringEarliestInSubquery() throws Exception
{
// Cannot vectorize EARLIEST aggregator.
skipVectorize();
testQuery(
"SELECT SUM(val) FROM (SELECT dim2, EARLIEST(dim1, 10) AS val FROM foo GROUP BY dim2)",
ImmutableList.of(
GroupByQuery.builder()
.setDataSource(
GroupByQuery.builder()
.setDataSource(CalciteTests.DATASOURCE1)