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[FLINK-12076] [table-planner-blink] Add support for generating optimized logical plan for simple group aggregate on batch #8092
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protected def isAggBufferFixedLength(aggBufferTypes: Array[Array[InternalType]]): Boolean = { | ||
val aggBuffAttributesTypes = aggBufferTypes.flatten | ||
val isAggBufferFixedLength = aggBuffAttributesTypes.forall(BinaryRow.isMutable) |
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add a TODO to check Decimal
can be applied to hash agg, like sum(decimal)
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I have added test case to verify Decimal
type in AggregateTestBase#testSum
* @param agg aggregate | ||
* @return returns AUXILIARY_GROUP aggCalls' args and other aggCalls | ||
*/ | ||
def checkAndSplitAggCalls(agg: Aggregate): (Array[Int], Seq[AggregateCall]) = { |
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put this into AggregateUtil
?
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ok
…zed logical plan for batch simple group aggregate
LGTM, +1 |
…zed logical plan for simple group aggregate on batch (apache#8092) * [FLINK-12076] [table-planner-blink] Add support for generating optimized logical plan for batch simple group aggregate * fix checkstyle error * remove Ignore from SingleRowJoinTest, and update based on comments * fix checkstyle error
…zed logical plan for simple group aggregate on batch (apache#8092) * [FLINK-12076] [table-planner-blink] Add support for generating optimized logical plan for batch simple group aggregate * fix checkstyle error * remove Ignore from SingleRowJoinTest, and update based on comments * fix checkstyle error
What is the purpose of the change
Add support for generating optimized logical plan for simple group aggregate on batch
Brief change log
Verifying this change
This change added tests and can be verified as follows:
Does this pull request potentially affect one of the following parts:
@Public(Evolving)
: (no)Documentation