mskapilks opened a new issue, #9245:
URL: https://github.com/apache/incubator-gluten/issues/9245
### Backend
VL (Velox)
### Bug description
Repro:
```scala
import org.apache.spark.sql.functions.udf
val plusOne = udf((x: Int) => x + 1)
spark.udf.register("plusOne", plusOne)
val df = sql("select plusOne((select plusOne(count(*)) from (values (1))
t0(inner_c))) as col from (values (2),(3)) t1(outer_c)")
df.collect()
```
Running this query with Spark 3.5 and Gluten 1.3 bundle
give below error
```scala
Caused by: org.apache.gluten.exception.GlutenException: Exception:
VeloxRuntimeError
Error Source: RUNTIME
Error Code: INVALID_STATE
Reason: Operator::getOutput failed for [operator: ValueStream, plan node ID:
0]: Error during calling Java code from native code:
java.lang.IllegalArgumentException: requirement failed: Subquery subquery#42,
[id=#645] has not finished
at scala.Predef$.require(Predef.scala:281)
at
org.apache.spark.sql.execution.ScalarSubquery.eval(subquery.scala:98)
at
org.apache.spark.sql.catalyst.expressions.IsNull.eval(nullExpressions.scala:354)
at
org.apache.spark.sql.catalyst.expressions.If.eval(conditionalExpressions.scala:89)
at
org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:158)
at
org.apache.gluten.expression.InterpretedArrowProjection.apply(InterpretedArrowProjection.scala:94)
at
org.apache.gluten.expression.InterpretedArrowProjection.apply(InterpretedArrowProjection.scala:35)
at
org.apache.gluten.execution.ColumnarPartialProjectExec.$anonfun$getProjectedBatchArrow$3(ColumnarPartialProjectExec.scala:248)
at
org.apache.gluten.execution.ColumnarPartialProjectExec.$anonfun$getProjectedBatchArrow$3$adapted(ColumnarPartialProjectExec.scala:246)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at
org.apache.gluten.execution.ColumnarPartialProjectExec.org$apache$gluten$execution$ColumnarPartialProjectExec$$getProjectedBatchArrow(ColumnarPartialProjectExec.scala:246)
at
org.apache.gluten.execution.ColumnarPartialProjectExec$$anon$1.next(ColumnarPartialProjectExec.scala:191)
at
org.apache.gluten.execution.ColumnarPartialProjectExec$$anon$1.next(ColumnarPartialProjectExec.scala:180)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at
scala.collection.TraversableOnce$FlattenOps$$anon$2.hasNext(TraversableOnce.scala:521)
at
org.apache.gluten.iterator.IteratorsV1$InvocationFlowProtection.hasNext(IteratorsV1.scala:159)
at
org.apache.gluten.iterator.IteratorsV1$PayloadCloser.hasNext(IteratorsV1.scala:37)
at
scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:32)
at
org.apache.gluten.vectorized.ColumnarBatchInIterator.hasNext(ColumnarBatchInIterator.java:36)
at
org.apache.gluten.vectorized.ColumnarBatchOutIterator.nativeHasNext(Native
Method)
at
org.apache.gluten.vectorized.ColumnarBatchOutIterator.hasNext0(ColumnarBatchOutIterator.java:57)
at
org.apache.gluten.iterator.ClosableIterator.hasNext(ClosableIterator.java:39)
at
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:45)
at
org.apache.gluten.iterator.IteratorsV1$InvocationFlowProtection.hasNext(IteratorsV1.scala:159)
at
org.apache.gluten.iterator.IteratorsV1$IteratorCompleter.hasNext(IteratorsV1.scala:71)
at
org.apache.gluten.iterator.IteratorsV1$PayloadCloser.hasNext(IteratorsV1.scala:37)
at
org.apache.gluten.iterator.IteratorsV1$LifeTimeAccumulator.hasNext(IteratorsV1.scala:100)
at scala.collection.Iterator.isEmpty(Iterator.scala:387)
at scala.collection.Iterator.isEmpty$(Iterator.scala:387)
at
org.apache.gluten.iterator.IteratorsV1$LifeTimeAccumulator.isEmpty(IteratorsV1.scala:90)
at
org.apache.gluten.execution.VeloxColumnarToRowExec$.toRowIterator(VeloxColumnarToRowExec.scala:122)
at
org.apache.gluten.execution.VeloxColumnarToRowExec.$anonfun$doExecuteInternal$1(VeloxColumnarToRowExec.scala:78)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:858)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:858)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
```
It works after disabling partial project with
`spark.gluten.sql.columnar.partial.project=false`.
### Spark version
Spark-3.5.x
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
```bash
```
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