zhztheplayer opened a new pull request, #5649:
URL: https://github.com/apache/incubator-gluten/pull/5649
With whole stage fallback feature, we can manage to create a plan (AE=on)
like:
```
Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=393]
+- HashAggregate(keys=[], functions=[partial_sum(ele#42L)], output=[sum#48L])
+- ObjectHashAggregate(keys=[c1#14], functions=[collect_list(c2#15L, 0,
0)], output=[ele#42L])
+- VeloxColumnarToRowExec
+- AQEShuffleRead coalesced
+- ShuffleQueryStage 0
+- ColumnarExchange hashpartitioning(c1#14, 5),
ENSURE_REQUIREMENTS, [c1#14, buf#50], [plan_id=315], [id=#315], [OUTPUT]
List(c1:IntegerType, buf:ArrayType(LongType,false)), [OUTPUT]
List(c1:IntegerType, buf:ArrayType(LongType,false))
+- ^(3) ProjectExecTransformer [hash(c1#14, 42) AS
hash_partition_key#56, c1#14, buf#50]
+- ^(3) FlushableHashAggregateTransformer(keys=[c1#14],
functions=[partial_collect_list(c2#15L, 0, 0)], output=[c1#14, buf#50])
+- ^(3) NativeFileScan parquet
spark_catalog.default.tmp1[c1#14,c2#15L] Batched: true, DataFilters: [],
Format: Parquet, Location: InMemoryFileIndex(1
paths)[file:/opt/gluten/spark-warehouse/org.apache.gluten.execution.FallbackS...,
PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c1:int,c2:bigint>
```
In the plan, only partial aggregate phase of aggregate function
`collect_list` is offloaded to native.
The we got error:
```
java.lang.NullPointerException
at
org.apache.spark.sql.catalyst.expressions.aggregate.Collect.deserialize(collect.scala:81)
at
org.apache.spark.sql.catalyst.expressions.aggregate.Collect.deserialize(collect.scala:39)
at
org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate.merge(interfaces.scala:592)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1.$anonfun$applyOrElse$3(AggregationIterator.scala:200)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1.$anonfun$applyOrElse$3$adapted(AggregationIterator.scala:200)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator.$anonfun$generateProcessRow$7(AggregationIterator.scala:214)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator.$anonfun$generateProcessRow$7$adapted(AggregationIterator.scala:208)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:169)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.<init>(ObjectAggregationIterator.scala:83)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec.$anonfun$doExecute$1(ObjectHashAggregateExec.scala:114)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec.$anonfun$doExecute$1$adapted(ObjectHashAggregateExec.scala:90)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:875)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:875)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:101)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
at org.apache.spark.scheduler.Task.run(Task.scala:139)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1529)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
```
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