Uses of Class
org.apache.druid.query.groupby.ResultRow

Packages that use ResultRow

Package	Description
org.apache.druid.query.groupby
org.apache.druid.query.groupby.epinephelinae
org.apache.druid.query.groupby.epinephelinae.column
org.apache.druid.query.groupby.epinephelinae.vector
org.apache.druid.query.groupby.having
org.apache.druid.query.groupby.orderby
org.apache.druid.query.groupby.strategy

Uses of ResultRow in org.apache.druid.query.groupby

Methods in org.apache.druid.query.groupby that return ResultRow

Modifier and Type	Method and Description
ResultRow	ResultRow.copy() Returns a copy of this row.
static ResultRow	ResultRow.create(int size) Create a row of a certain size, initialized to all nulls.
static ResultRow	ResultRow.fromLegacyRow(Row row, GroupByQuery query) Create a row based on a legacy Row that was generated by a given GroupByQuery.
static ResultRow	ResultRow.of(Object... row) Create a row from an array of objects.
static ResultRow	GroupByQueryHelper.toResultRow(GroupByQuery query, Row row)

Methods in org.apache.druid.query.groupby that return types with arguments of type ResultRow

Modifier and Type	Method and Description
BinaryOperator<ResultRow>	GroupByQueryQueryToolChest.createMergeFn(Query<ResultRow> query)
Comparator<ResultRow>	GroupByQueryQueryToolChest.createResultComparator(Query<ResultRow> query)
QueryRunner<ResultRow>	GroupByQueryRunnerFactory.createRunner(Segment segment)
CacheStrategy<ResultRow,Object,GroupByQuery>	GroupByQueryQueryToolChest.getCacheStrategy(GroupByQuery query)
com.fasterxml.jackson.core.type.TypeReference<ResultRow>	GroupByQueryQueryToolChest.getResultTypeReference()
com.google.common.collect.Ordering<ResultRow>	GroupByQuery.getRowOrdering(boolean granular)
QueryToolChest<ResultRow,GroupByQuery>	GroupByQueryRunnerFactory.getToolchest()
com.google.common.base.Function<ResultRow,ResultRow>	GroupByQueryQueryToolChest.makePostComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<ResultRow,ResultRow>	GroupByQueryQueryToolChest.makePostComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<ResultRow,ResultRow>	GroupByQueryQueryToolChest.makePreComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<ResultRow,ResultRow>	GroupByQueryQueryToolChest.makePreComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
QueryRunner<ResultRow>	GroupByQueryQueryToolChest.mergeResults(QueryRunner<ResultRow> runner)
QueryRunner<ResultRow>	GroupByQueryRunnerFactory.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
static Sequence<ResultRow>	GroupByQueryHelper.postAggregate(GroupByQuery query, IncrementalIndex index)
Sequence<ResultRow>	GroupByQuery.postProcess(Sequence<ResultRow> results) Apply the havingSpec and limitSpec.
QueryRunner<ResultRow>	GroupByQueryQueryToolChest.preMergeQueryDecoration(QueryRunner<ResultRow> runner)
Query<ResultRow>	GroupByQuery.withDataSource(DataSource dataSource)

Method parameters in org.apache.druid.query.groupby with type arguments of type ResultRow

Modifier and Type	Method and Description
BinaryOperator<ResultRow>	GroupByQueryQueryToolChest.createMergeFn(Query<ResultRow> query)
Comparator<ResultRow>	GroupByQueryQueryToolChest.createResultComparator(Query<ResultRow> query)
static IncrementalIndex	GroupByQueryHelper.makeIncrementalIndex(GroupByQuery query, GroupByQuery subquery, GroupByQueryConfig config, Sequence<ResultRow> rows)
QueryRunner<ResultRow>	GroupByQueryQueryToolChest.mergeResults(QueryRunner<ResultRow> runner)
QueryRunner<ResultRow>	GroupByQueryRunnerFactory.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
Sequence<ResultRow>	GroupByQuery.postProcess(Sequence<ResultRow> results) Apply the havingSpec and limitSpec.
QueryRunner<ResultRow>	GroupByQueryQueryToolChest.preMergeQueryDecoration(QueryRunner<ResultRow> runner)
Sequence<Object[]>	GroupByQueryQueryToolChest.resultsAsArrays(GroupByQuery query, Sequence<ResultRow> resultSequence)

Uses of ResultRow in org.apache.druid.query.groupby.epinephelinae

Fields in org.apache.druid.query.groupby.epinephelinae with type parameters of type ResultRow

Modifier and Type	Field and Description
protected CloseableGrouperIterator<KeyType,ResultRow>	GroupByQueryEngineV2.GroupByEngineIterator.delegate

Methods in org.apache.druid.query.groupby.epinephelinae that return ResultRow

Modifier and Type	Method and Description
ResultRow	GroupByBinaryFnV2.apply(ResultRow arg1, ResultRow arg2)
ResultRow	GroupByQueryEngineV2.GroupByEngineIterator.next()

Methods in org.apache.druid.query.groupby.epinephelinae that return types with arguments of type ResultRow

Modifier and Type	Method and Description
static Pair<Grouper<RowBasedGrouperHelper.RowBasedKey>,Accumulator<AggregateResult,ResultRow>>	RowBasedGrouperHelper.createGrouperAccumulatorPair(GroupByQuery query, GroupByQuery subquery, GroupByQueryConfig config, DruidProcessingConfig processingConfig, com.google.common.base.Supplier<ByteBuffer> bufferSupplier, LimitedTemporaryStorage temporaryStorage, com.fasterxml.jackson.databind.ObjectMapper spillMapper, int mergeBufferSize) Create a single-threaded grouper and accumulator.
static Pair<Grouper<RowBasedGrouperHelper.RowBasedKey>,Accumulator<AggregateResult,ResultRow>>	RowBasedGrouperHelper.createGrouperAccumulatorPair(GroupByQuery query, GroupByQuery subquery, GroupByQueryConfig config, DruidProcessingConfig processingConfig, com.google.common.base.Supplier<ByteBuffer> bufferSupplier, ReferenceCountingResourceHolder<ByteBuffer> combineBufferHolder, int concurrencyHint, LimitedTemporaryStorage temporaryStorage, com.fasterxml.jackson.databind.ObjectMapper spillMapper, com.google.common.util.concurrent.ListeningExecutorService grouperSorter, int priority, boolean hasQueryTimeout, long queryTimeoutAt, int mergeBufferSize) Create a Grouper that groups according to the dimensions and aggregators in "query", along with an Accumulator that accepts ResultRows and forwards them to the grouper.
static CloseableGrouperIterator<RowBasedGrouperHelper.RowBasedKey,ResultRow>	RowBasedGrouperHelper.makeGrouperIterator(Grouper<RowBasedGrouperHelper.RowBasedKey> grouper, GroupByQuery query, Closeable closeable)
static CloseableGrouperIterator<RowBasedGrouperHelper.RowBasedKey,ResultRow>	RowBasedGrouperHelper.makeGrouperIterator(Grouper<RowBasedGrouperHelper.RowBasedKey> grouper, GroupByQuery query, List<DimensionSpec> dimsToInclude, Closeable closeable)
static Sequence<ResultRow>	GroupByQueryEngineV2.process(GroupByQuery query, StorageAdapter storageAdapter, NonBlockingPool<ByteBuffer> intermediateResultsBufferPool, GroupByQueryConfig querySpecificConfig, DruidProcessingConfig processingConfig, GroupByQueryMetrics groupByQueryMetrics)
Sequence<ResultRow>	GroupByRowProcessor.ResultSupplier.results(List<DimensionSpec> dimensionsToInclude) Return a result sequence.
Sequence<ResultRow>	GroupByMergingQueryRunnerV2.run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext)

Methods in org.apache.druid.query.groupby.epinephelinae with parameters of type ResultRow

Modifier and Type	Method and Description
ResultRow	GroupByBinaryFnV2.apply(ResultRow arg1, ResultRow arg2)
static void	GroupByQueryEngineV2.convertRowTypesToOutputTypes(List<DimensionSpec> dimensionSpecs, ResultRow resultRow, int resultRowDimensionStart)
protected void	GroupByQueryEngineV2.HashAggregateIterator.putToRow(ByteBuffer key, ResultRow resultRow)
protected abstract void	GroupByQueryEngineV2.GroupByEngineIterator.putToRow(KeyType key, ResultRow resultRow) Add the key to the result row.

Method parameters in org.apache.druid.query.groupby.epinephelinae with type arguments of type ResultRow

Modifier and Type	Method and Description
static ColumnSelectorFactory	RowBasedGrouperHelper.createResultRowBasedColumnSelectorFactory(GroupByQuery query, com.google.common.base.Supplier<ResultRow> supplier, RowSignature.Finalization finalization) Creates a ColumnSelectorFactory that can read rows which originate as results of the provided "query".
static GroupByRowProcessor.ResultSupplier	GroupByRowProcessor.process(GroupByQuery query, GroupByQuery subquery, Sequence<ResultRow> rows, GroupByQueryConfig config, DruidProcessingConfig processingConfig, GroupByQueryResource resource, com.fasterxml.jackson.databind.ObjectMapper spillMapper, String processingTmpDir, int mergeBufferSize) Process the input of sequence "rows" (output by "subquery") based on "query" and returns a GroupByRowProcessor.ResultSupplier.
Sequence<ResultRow>	GroupByMergingQueryRunnerV2.run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext)

Constructor parameters in org.apache.druid.query.groupby.epinephelinae with type arguments of type ResultRow

Constructor and Description
GroupByMergingQueryRunnerV2(GroupByQueryConfig config, DruidProcessingConfig processingConfig, QueryProcessingPool queryProcessingPool, QueryWatcher queryWatcher, Iterable<QueryRunner<ResultRow>> queryables, int concurrencyHint, BlockingPool<ByteBuffer> mergeBufferPool, int mergeBufferSize, com.fasterxml.jackson.databind.ObjectMapper spillMapper, String processingTmpDir)

Uses of ResultRow in org.apache.druid.query.groupby.epinephelinae.column

Methods in org.apache.druid.query.groupby.epinephelinae.column with parameters of type ResultRow

Modifier and Type	Method and Description
void	DictionaryBuildingStringGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	DoubleGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	ArrayStringGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	FloatGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	StringGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	ArrayNumericGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	NullableNumericGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)
void	GroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition) Read a value from a grouping key and add it to the group by query result row, using the output name specified in a DimensionSpec.
void	LongGroupByColumnSelectorStrategy.processValueFromGroupingKey(GroupByColumnSelectorPlus selectorPlus, ByteBuffer key, ResultRow resultRow, int keyBufferPosition)

Uses of ResultRow in org.apache.druid.query.groupby.epinephelinae.vector

Methods in org.apache.druid.query.groupby.epinephelinae.vector that return types with arguments of type ResultRow

Modifier and Type	Method and Description
static Sequence<ResultRow>	VectorGroupByEngine.process(GroupByQuery query, StorageAdapter storageAdapter, ByteBuffer processingBuffer, org.joda.time.DateTime fudgeTimestamp, Filter filter, org.joda.time.Interval interval, GroupByQueryConfig config, DruidProcessingConfig processingConfig, GroupByQueryMetrics groupByQueryMetrics)

Methods in org.apache.druid.query.groupby.epinephelinae.vector with parameters of type ResultRow

Modifier and Type	Method and Description
void	DictionaryBuildingSingleValueStringGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	NilGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	SingleValueStringGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	GroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition) Write key parts for this column into a particular result row.
void	NullableFloatGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	DoubleGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	NullableLongGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	LongGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	NullableDoubleGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)
void	FloatGroupByVectorColumnSelector.writeKeyToResultRow(MemoryPointer keyMemory, int keyOffset, ResultRow resultRow, int resultRowPosition)

Uses of ResultRow in org.apache.druid.query.groupby.having

Methods in org.apache.druid.query.groupby.having with parameters of type ResultRow

Modifier and Type	Method and Description
boolean	OrHavingSpec.eval(ResultRow row)
boolean	AndHavingSpec.eval(ResultRow row)
boolean	LessThanHavingSpec.eval(ResultRow row)
boolean	GreaterThanHavingSpec.eval(ResultRow row)
boolean	DimFilterHavingSpec.eval(ResultRow row)
boolean	EqualToHavingSpec.eval(ResultRow row)
boolean	AlwaysHavingSpec.eval(ResultRow row)
boolean	NotHavingSpec.eval(ResultRow row)
boolean	DimensionSelectorHavingSpec.eval(ResultRow row)
boolean	NeverHavingSpec.eval(ResultRow row)
boolean	HavingSpec.eval(ResultRow row) Evaluates if a given row satisfies the having spec.

Uses of ResultRow in org.apache.druid.query.groupby.orderby

Methods in org.apache.druid.query.groupby.orderby that return types with arguments of type ResultRow

Modifier and Type	Method and Description
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	DefaultLimitSpec.build(GroupByQuery query)
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	DefaultLimitSpec.build(GroupByQuery query)
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	LimitSpec.build(GroupByQuery query) Returns a function that applies a limit to an input sequence that is assumed to be sorted on dimensions.
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	LimitSpec.build(GroupByQuery query) Returns a function that applies a limit to an input sequence that is assumed to be sorted on dimensions.
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	NoopLimitSpec.build(GroupByQuery query)
com.google.common.base.Function<Sequence<ResultRow>,Sequence<ResultRow>>	NoopLimitSpec.build(GroupByQuery query)

Uses of ResultRow in org.apache.druid.query.groupby.strategy

Methods in org.apache.druid.query.groupby.strategy that return types with arguments of type ResultRow

Modifier and Type	Method and Description
Sequence<ResultRow>	GroupByStrategy.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query) Apply the GroupByQuery "postProcessingFn", which is responsible for HavingSpec and LimitSpec.
Sequence<ResultRow>	GroupByStrategyV1.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query)
Sequence<ResultRow>	GroupByStrategyV2.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query)
default BinaryOperator<ResultRow>	GroupByStrategy.createMergeFn(Query<ResultRow> query) See QueryToolChest.createMergeFn(Query) for details, allows GroupByQueryQueryToolChest to delegate implementation to the strategy
BinaryOperator<ResultRow>	GroupByStrategyV2.createMergeFn(Query<ResultRow> queryParam)
default Comparator<ResultRow>	GroupByStrategy.createResultComparator(Query<ResultRow> queryParam) See QueryToolChest.createResultComparator(Query), allows GroupByQueryQueryToolChest to delegate implementation to the strategy
Comparator<ResultRow>	GroupByStrategyV2.createResultComparator(Query<ResultRow> queryParam)
Sequence<ResultRow>	GroupByStrategy.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext) Runs a provided QueryRunner on a provided GroupByQuery, which is assumed to return rows that are properly sorted (by timestamp and dimensions) but not necessarily fully merged (that is, there may be adjacent rows with the same timestamp and dimensions) and without PostAggregators computed.
Sequence<ResultRow>	GroupByStrategyV1.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext)
Sequence<ResultRow>	GroupByStrategyV2.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext)
QueryRunner<ResultRow>	GroupByStrategy.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners) Merge a variety of single-segment query runners into a combined runner.
QueryRunner<ResultRow>	GroupByStrategyV1.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
QueryRunner<ResultRow>	GroupByStrategyV2.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
Sequence<ResultRow>	GroupByStrategy.process(GroupByQuery query, StorageAdapter storageAdapter, GroupByQueryMetrics groupByQueryMetrics) Process a groupBy query on a single StorageAdapter.
Sequence<ResultRow>	GroupByStrategyV1.process(GroupByQuery query, StorageAdapter storageAdapter, GroupByQueryMetrics groupByQueryMetrics)
Sequence<ResultRow>	GroupByStrategyV2.process(GroupByQuery query, StorageAdapter storageAdapter, GroupByQueryMetrics groupByQueryMetrics)
Sequence<ResultRow>	GroupByStrategy.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown) Called by GroupByQueryQueryToolChest.mergeResults(QueryRunner) when it needs to process a subquery.
Sequence<ResultRow>	GroupByStrategyV1.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown)
Sequence<ResultRow>	GroupByStrategyV2.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown)
Sequence<ResultRow>	GroupByStrategy.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult) Called by GroupByQueryQueryToolChest.mergeResults(QueryRunner) when it needs to generate subtotals.
Sequence<ResultRow>	GroupByStrategyV1.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult)
Sequence<ResultRow>	GroupByStrategyV2.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult)

Method parameters in org.apache.druid.query.groupby.strategy with type arguments of type ResultRow

Modifier and Type	Method and Description
Sequence<ResultRow>	GroupByStrategy.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query) Apply the GroupByQuery "postProcessingFn", which is responsible for HavingSpec and LimitSpec.
Sequence<ResultRow>	GroupByStrategyV1.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query)
Sequence<ResultRow>	GroupByStrategyV2.applyPostProcessing(Sequence<ResultRow> results, GroupByQuery query)
default BinaryOperator<ResultRow>	GroupByStrategy.createMergeFn(Query<ResultRow> query) See QueryToolChest.createMergeFn(Query) for details, allows GroupByQueryQueryToolChest to delegate implementation to the strategy
BinaryOperator<ResultRow>	GroupByStrategyV2.createMergeFn(Query<ResultRow> queryParam)
default Comparator<ResultRow>	GroupByStrategy.createResultComparator(Query<ResultRow> queryParam) See QueryToolChest.createResultComparator(Query), allows GroupByQueryQueryToolChest to delegate implementation to the strategy
Comparator<ResultRow>	GroupByStrategyV2.createResultComparator(Query<ResultRow> queryParam)
Sequence<ResultRow>	GroupByStrategy.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext) Runs a provided QueryRunner on a provided GroupByQuery, which is assumed to return rows that are properly sorted (by timestamp and dimensions) but not necessarily fully merged (that is, there may be adjacent rows with the same timestamp and dimensions) and without PostAggregators computed.
Sequence<ResultRow>	GroupByStrategyV1.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext)
Sequence<ResultRow>	GroupByStrategyV2.mergeResults(QueryRunner<ResultRow> baseRunner, GroupByQuery query, ResponseContext responseContext)
QueryRunner<ResultRow>	GroupByStrategy.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners) Merge a variety of single-segment query runners into a combined runner.
QueryRunner<ResultRow>	GroupByStrategyV1.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
QueryRunner<ResultRow>	GroupByStrategyV2.mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<ResultRow>> queryRunners)
Sequence<ResultRow>	GroupByStrategy.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown) Called by GroupByQueryQueryToolChest.mergeResults(QueryRunner) when it needs to process a subquery.
Sequence<ResultRow>	GroupByStrategyV1.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown)
Sequence<ResultRow>	GroupByStrategyV2.processSubqueryResult(GroupByQuery subquery, GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> subqueryResult, boolean wasQueryPushedDown)
Sequence<ResultRow>	GroupByStrategy.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult) Called by GroupByQueryQueryToolChest.mergeResults(QueryRunner) when it needs to generate subtotals.
Sequence<ResultRow>	GroupByStrategyV1.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult)
Sequence<ResultRow>	GroupByStrategyV2.processSubtotalsSpec(GroupByQuery query, GroupByQueryResource resource, Sequence<ResultRow> queryResult)