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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.query;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.ImmutableSet;
import org.apache.druid.collections.CloseableStupidPool;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.data.input.impl.CSVParseSpec;
import org.apache.druid.data.input.impl.DimensionsSpec;
import org.apache.druid.data.input.impl.JSONParseSpec;
import org.apache.druid.data.input.impl.StringInputRowParser;
import org.apache.druid.data.input.impl.TimestampSpec;
import org.apache.druid.java.util.common.DateTimes;
import org.apache.druid.java.util.common.FileUtils;
import org.apache.druid.java.util.common.granularity.Granularities;
import org.apache.druid.java.util.common.guava.Sequence;
import org.apache.druid.query.aggregation.AggregationTestHelper;
import org.apache.druid.query.aggregation.CountAggregatorFactory;
import org.apache.druid.query.dimension.DefaultDimensionSpec;
import org.apache.druid.query.dimension.ListFilteredDimensionSpec;
import org.apache.druid.query.dimension.RegexFilteredDimensionSpec;
import org.apache.druid.query.expression.TestExprMacroTable;
import org.apache.druid.query.filter.InDimFilter;
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.GroupByQueryRunnerTest;
import org.apache.druid.query.groupby.GroupByQueryRunnerTestHelper;
import org.apache.druid.query.groupby.ResultRow;
import org.apache.druid.query.groupby.orderby.DefaultLimitSpec;
import org.apache.druid.query.groupby.orderby.OrderByColumnSpec;
import org.apache.druid.query.groupby.strategy.GroupByStrategySelector;
import org.apache.druid.query.spec.LegacySegmentSpec;
import org.apache.druid.query.topn.TopNQuery;
import org.apache.druid.query.topn.TopNQueryBuilder;
import org.apache.druid.query.topn.TopNQueryConfig;
import org.apache.druid.query.topn.TopNQueryQueryToolChest;
import org.apache.druid.query.topn.TopNQueryRunnerFactory;
import org.apache.druid.query.topn.TopNResultValue;
import org.apache.druid.segment.IncrementalIndexSegment;
import org.apache.druid.segment.IndexSpec;
import org.apache.druid.segment.QueryableIndex;
import org.apache.druid.segment.QueryableIndexSegment;
import org.apache.druid.segment.TestHelper;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.incremental.IncrementalIndex;
import org.apache.druid.segment.virtual.ExpressionVirtualColumn;
import org.apache.druid.segment.writeout.OffHeapMemorySegmentWriteOutMediumFactory;
import org.apache.druid.segment.writeout.SegmentWriteOutMediumFactory;
import org.apache.druid.segment.writeout.TmpFileSegmentWriteOutMediumFactory;
import org.apache.druid.testing.InitializedNullHandlingTest;
import org.apache.druid.timeline.SegmentId;
import org.junit.After;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.ExpectedException;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.io.File;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Map;
/**
*/
@RunWith(Parameterized.class)
public class MultiValuedDimensionTest extends InitializedNullHandlingTest
{
@Parameterized.Parameters(name = "groupby: {0} forceHashAggregation: {2} ({1})")
public static Collection<?> constructorFeeder()
{
final List<Object[]> constructors = new ArrayList<>();
for (GroupByQueryConfig config : GroupByQueryRunnerTest.testConfigs()) {
constructors.add(new Object[]{config, TmpFileSegmentWriteOutMediumFactory.instance(), false});
constructors.add(new Object[]{config, OffHeapMemorySegmentWriteOutMediumFactory.instance(), false});
constructors.add(new Object[]{config, TmpFileSegmentWriteOutMediumFactory.instance(), true});
constructors.add(new Object[]{config, OffHeapMemorySegmentWriteOutMediumFactory.instance(), true});
}
return constructors;
}
private final AggregationTestHelper helper;
private final SegmentWriteOutMediumFactory segmentWriteOutMediumFactory;
private IncrementalIndex incrementalIndex;
private QueryableIndex queryableIndex;
private File persistedSegmentDir;
private IncrementalIndex incrementalIndexNullSampler;
private QueryableIndex queryableIndexNullSampler;
private File persistedSegmentDirNullSampler;
private final GroupByQueryConfig config;
private final ImmutableMap<String, Object> context;
@Rule
public ExpectedException expectedException = ExpectedException.none();
public MultiValuedDimensionTest(final GroupByQueryConfig config, SegmentWriteOutMediumFactory segmentWriteOutMediumFactory, boolean forceHashAggregation)
{
helper = AggregationTestHelper.createGroupByQueryAggregationTestHelper(
ImmutableList.of(),
config,
null
);
this.config = config;
this.segmentWriteOutMediumFactory = segmentWriteOutMediumFactory;
this.context = config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)
? ImmutableMap.of()
: ImmutableMap.of("forceHashAggregation", forceHashAggregation);
}
@Before
public void setup() throws Exception
{
incrementalIndex = new IncrementalIndex.Builder()
.setSimpleTestingIndexSchema(new CountAggregatorFactory("count"))
.setMaxRowCount(5000)
.buildOnheap();
StringInputRowParser parser = new StringInputRowParser(
new CSVParseSpec(
new TimestampSpec("timestamp", "iso", null),
new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("product", "tags", "othertags")), null, null),
"\t",
ImmutableList.of("timestamp", "product", "tags", "othertags"),
false,
0
),
"UTF-8"
);
String[] rows = new String[]{
"2011-01-12T00:00:00.000Z,product_1,t1\tt2\tt3,u1\tu2",
"2011-01-13T00:00:00.000Z,product_2,t3\tt4\tt5,u3\tu4",
"2011-01-14T00:00:00.000Z,product_3,t5\tt6\tt7,u1\tu5",
"2011-01-14T00:00:00.000Z,product_4,\"\",u2"
};
for (String row : rows) {
incrementalIndex.add(parser.parse(row));
}
persistedSegmentDir = FileUtils.createTempDir();
TestHelper.getTestIndexMergerV9(segmentWriteOutMediumFactory)
.persist(incrementalIndex, persistedSegmentDir, new IndexSpec(), null);
queryableIndex = TestHelper.getTestIndexIO().loadIndex(persistedSegmentDir);
StringInputRowParser parserNullSampler = new StringInputRowParser(
new JSONParseSpec(
new TimestampSpec("time", "iso", null),
new DimensionsSpec(DimensionsSpec.getDefaultSchemas(ImmutableList.of("product", "tags", "othertags")), null, null)
),
"UTF-8"
);
incrementalIndexNullSampler = new IncrementalIndex.Builder()
.setSimpleTestingIndexSchema(new CountAggregatorFactory("count"))
.setMaxRowCount(5000)
.buildOnheap();
String[] rowsNullSampler = new String[]{
"{\"time\":\"2011-01-13T00:00:00.000Z\",\"product\":\"product_1\",\"tags\":[],\"othertags\":[\"u1\", \"u2\"]}",
"{\"time\":\"2011-01-12T00:00:00.000Z\",\"product\":\"product_2\",\"othertags\":[\"u3\", \"u4\"]}",
"{\"time\":\"2011-01-14T00:00:00.000Z\",\"product\":\"product_3\",\"tags\":[\"\"],\"othertags\":[\"u1\", \"u5\"]}",
"{\"time\":\"2011-01-15T00:00:00.000Z\",\"product\":\"product_4\",\"tags\":[\"t1\", \"t2\", \"\"],\"othertags\":[\"u6\", \"u7\"]}",
"{\"time\":\"2011-01-16T00:00:00.000Z\",\"product\":\"product_5\",\"tags\":[],\"othertags\":[]}",
"{\"time\":\"2011-01-16T00:00:00.000Z\",\"product\":\"product_6\"}",
"{\"time\":\"2011-01-16T00:00:00.000Z\",\"product\":\"product_7\",\"othertags\":[]}",
"{\"time\":\"2011-01-16T00:00:00.000Z\",\"product\":\"product_8\",\"tags\":[\"\"],\"othertags\":[]}"
};
for (String row : rowsNullSampler) {
incrementalIndexNullSampler.add(parserNullSampler.parse(row));
}
persistedSegmentDirNullSampler = FileUtils.createTempDir();
TestHelper.getTestIndexMergerV9(segmentWriteOutMediumFactory)
.persist(incrementalIndexNullSampler, persistedSegmentDirNullSampler, new IndexSpec(), null);
queryableIndexNullSampler = TestHelper.getTestIndexIO().loadIndex(persistedSegmentDirNullSampler);
}
@After
public void teardown() throws IOException
{
helper.close();
}
@Test
public void testGroupByNoFilter()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tags", "tags"))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(
query,
"1970",
"tags",
NullHandling.replaceWithDefault() ? null : "",
"count",
2L
),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t3", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t4", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t5", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t6", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tags", "t7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "noFilter");
}
@Test
public void testGroupByWithDimFilter()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tags", "tags"))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setDimFilter(new SelectorDimFilter("tags", "t3", null))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t3", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t4", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t5", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "dimFilter");
}
@Test
public void testGroupByWithDimFilterEmptyResults()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tags", "tags"))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setDimFilter(new InDimFilter("product", ImmutableList.of("product_5"), null))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndexNullSampler, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndexNullSampler, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Collections.singletonList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", null, "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filter-empty");
}
@Test
public void testGroupByWithDimFilterNullishResults()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tags", "tags"))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setDimFilter(
new InDimFilter("product", ImmutableList.of("product_5", "product_6", "product_8"), null)
)
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndexNullSampler, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndexNullSampler, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults;
// an empty row e.g. [], or group by 'missing' value, is grouped with the default string value, "" or null
// grouping input is filtered to [], null, [""]
if (NullHandling.replaceWithDefault()) {
// when sql compatible null handling is disabled, the inputs are effectively [], null, [null] and
// are all grouped as null
expectedResults = Collections.singletonList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", null, "count", 6L)
);
} else {
// with sql compatible null handling, null and [] = null, but [""] = ""
expectedResults = ImmutableList.of(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", null, "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "", "count", 2L)
);
}
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filter-nullish");
}
@Test
public void testGroupByWithDimFilterAndWithFilteredDimSpec()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new RegexFilteredDimensionSpec(new DefaultDimensionSpec("tags", "tags"), "t3"))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setDimFilter(new SelectorDimFilter("tags", "t3", null))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Collections.singletonList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t3", "count", 4L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
}
@Test
public void testGroupByExpression()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"map(x -> concat(x, 'foo'), tags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3foo", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t4foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t5foo", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t6foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t7foo", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr");
}
@Test
public void testGroupByExpressionMultiMulti()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"cartesian_map((x,y) -> concat(x, y), tags, othertags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi");
}
@Test
public void testGroupByExpressionMultiMultiAuto()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"map((x) -> concat(x, othertags), tags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto");
}
@Test
public void testGroupByExpressionMultiMultiAutoAuto()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"concat(tags, othertags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto-auto");
}
@Test
public void testGroupByExpressionMultiMultiAutoAutoDupeIdentifier()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"concat(tags, tags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("count", OrderByColumnSpec.Direction.DESCENDING)), 5))
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3t3", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t5t5", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t4t4", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2t2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t7t7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto-auto-self");
}
@Test
public void testGroupByExpressionMultiMultiAutoAutoWithFilter()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"concat(tags, othertags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setDimFilter(new SelectorDimFilter("texpr", "t1u1", null))
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto-auto");
}
@Test
public void testGroupByExpressionAuto()
{
// virtual column is a single input column and input is not used explicitly as an array,
// so this one will work for group by v1, even with multi-value inputs
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"concat(tags, 'foo')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t1foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t2foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t3foo", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t4foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t5foo", "count", 4L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t6foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t7foo", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-auto");
}
@Test
public void testGroupByExpressionArrayExpressionFilter()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt", ValueType.LONG))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"array_offset_of(tags, 't2')",
ValueType.LONG,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", NullHandling.replaceWithDefault() ? -1L : null, "count", 6L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", 1L, "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-auto");
}
@Test
public void testGroupByExpressionArrayFnArg()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"array_to_string(map(tags -> concat('foo', tags), tags), ', ')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-array-fn");
}
@Test
public void testGroupByExpressionAutoArrayFnArg()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"array_to_string(concat('foo', tags), ', ')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}
@Test
public void testGroupByExpressionFoldArrayToString()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"fold((tag, acc) -> concat(acc, tag), tags, '')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(
query,
"1970-01-01T00:00:00.000Z",
"tt",
NullHandling.replaceWithDefault() ? null : "",
"count",
2L
),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t1t2t3", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t3t4t5", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t5t6t7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}
@Test
public void testGroupByExpressionFoldArrayToStringWithConcats()
{
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(RuntimeException.class);
expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
}
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("tt", "tt"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"tt",
"fold((tag, acc) -> concat(concat(acc, case_searched(acc == '', '', ', '), concat('foo', tag)))), tags, '')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
);
List<ResultRow> expectedResults = Arrays.asList(
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L),
GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}
@Test
public void testGroupByExpressionMultiConflicting()
{
expectedException.expect(RuntimeException.class);
expectedException.expectMessage(
"Invalid expression: (concat [(map ([x] -> (concat [x, othertags])), [tags]), tags]); [tags] used as both scalar and array variables"
);
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"concat(map((x) -> concat(x, othertags), tags), tags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
).toList();
}
@Test
public void testGroupByExpressionMultiConflictingAlso()
{
expectedException.expect(RuntimeException.class);
expectedException.expectMessage(
"Invalid expression: (array_concat [tags, (array_append [othertags, tags])]); [tags] used as both scalar and array variables"
);
GroupByQuery query = GroupByQuery
.builder()
.setDataSource("xx")
.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
.setGranularity(Granularities.ALL)
.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
.setVirtualColumns(
new ExpressionVirtualColumn(
"texpr",
"array_concat(tags, (array_append(othertags, tags)))",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.setLimit(5)
.setAggregatorSpecs(new CountAggregatorFactory("count"))
.setContext(context)
.build();
helper.runQueryOnSegmentsObjs(
ImmutableList.of(
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
),
query
).toList();
}
@Test
public void testTopNWithDimFilterAndWithFilteredDimSpec()
{
TopNQuery query = new TopNQueryBuilder()
.dataSource("xx")
.granularity(Granularities.ALL)
.dimension(new ListFilteredDimensionSpec(
new DefaultDimensionSpec("tags", "tags"),
ImmutableSet.of("t3"),
null
))
.metric("count")
.intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC)
.aggregators(new CountAggregatorFactory("count"))
.threshold(5)
.filters(new SelectorDimFilter("tags", "t3", null))
.build();
try (CloseableStupidPool<ByteBuffer> pool = TestQueryRunners.createDefaultNonBlockingPool()) {
QueryRunnerFactory factory = new TopNQueryRunnerFactory(
pool,
new TopNQueryQueryToolChest(new TopNQueryConfig()),
QueryRunnerTestHelper.NOOP_QUERYWATCHER
);
QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(
factory,
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
null
);
Sequence<Result<TopNResultValue>> result = runner.run(QueryPlus.wrap(query));
List<Result<TopNResultValue>> expectedResults = Collections.singletonList(
new Result<TopNResultValue>(
DateTimes.of("2011-01-12T00:00:00.000Z"),
new TopNResultValue(
Collections.<Map<String, Object>>singletonList(
ImmutableMap.of(
"tags", "t3",
"count", 2L
)
)
)
)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
}
}
@Test
public void testTopNExpression()
{
TopNQuery query = new TopNQueryBuilder()
.dataSource("xx")
.granularity(Granularities.ALL)
.dimension(new DefaultDimensionSpec("texpr", "texpr"))
.virtualColumns(
new ExpressionVirtualColumn(
"texpr",
"map(x -> concat(x, 'foo'), tags)",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.metric("count")
.intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC)
.aggregators(new CountAggregatorFactory("count"))
.threshold(15)
.build();
try (CloseableStupidPool<ByteBuffer> pool = TestQueryRunners.createDefaultNonBlockingPool()) {
QueryRunnerFactory factory = new TopNQueryRunnerFactory(
pool,
new TopNQueryQueryToolChest(new TopNQueryConfig()),
QueryRunnerTestHelper.NOOP_QUERYWATCHER
);
QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(
factory,
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
null
);
Sequence<Result<TopNResultValue>> result = runner.run(QueryPlus.wrap(query));
List<Map<String, Object>> expected =
ImmutableList.<Map<String, Object>>builder()
.add(ImmutableMap.of("texpr", "t3foo", "count", 2L))
.add(ImmutableMap.of("texpr", "t5foo", "count", 2L))
.add(ImmutableMap.of("texpr", "foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t1foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t2foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t4foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t6foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t7foo", "count", 1L))
.build();
List<Result<TopNResultValue>> expectedResults = Collections.singletonList(
new Result<TopNResultValue>(
DateTimes.of("2011-01-12T00:00:00.000Z"),
new TopNResultValue(
expected
)
)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
}
}
@Test
public void testTopNExpressionAutoTransform()
{
TopNQuery query = new TopNQueryBuilder()
.dataSource("xx")
.granularity(Granularities.ALL)
.dimension(new DefaultDimensionSpec("texpr", "texpr"))
.virtualColumns(
new ExpressionVirtualColumn(
"texpr",
"concat(tags, 'foo')",
ValueType.STRING,
TestExprMacroTable.INSTANCE
)
)
.metric("count")
.intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC)
.aggregators(new CountAggregatorFactory("count"))
.threshold(15)
.build();
try (CloseableStupidPool<ByteBuffer> pool = TestQueryRunners.createDefaultNonBlockingPool()) {
QueryRunnerFactory factory = new TopNQueryRunnerFactory(
pool,
new TopNQueryQueryToolChest(new TopNQueryConfig()),
QueryRunnerTestHelper.NOOP_QUERYWATCHER
);
QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(
factory,
new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
null
);
Sequence<Result<TopNResultValue>> result = runner.run(QueryPlus.wrap(query));
List<Map<String, Object>> expected =
ImmutableList.<Map<String, Object>>builder()
.add(ImmutableMap.of("texpr", "t3foo", "count", 2L))
.add(ImmutableMap.of("texpr", "t5foo", "count", 2L))
.add(ImmutableMap.of("texpr", "foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t1foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t2foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t4foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t6foo", "count", 1L))
.add(ImmutableMap.of("texpr", "t7foo", "count", 1L))
.build();
List<Result<TopNResultValue>> expectedResults = Collections.singletonList(
new Result<TopNResultValue>(
DateTimes.of("2011-01-12T00:00:00.000Z"),
new TopNResultValue(
expected
)
)
);
TestHelper.assertExpectedObjects(expectedResults, result.toList(), "filteredDim");
}
}
@After
public void cleanup() throws Exception
{
queryableIndex.close();
incrementalIndex.close();
FileUtils.deleteDirectory(persistedSegmentDir);
}
}