wForget opened a new issue, #9383:
URL: https://github.com/apache/incubator-gluten/issues/9383
### Backend
VL (Velox)
### Bug description
error message:
```
25/04/21 16:16:07 ERROR ManagedReservationListener: Error reserving memory
from target
org.apache.gluten.memory.memtarget.ThrowOnOomMemoryTarget$OutOfMemoryException:
Not enough spark off-heap execution memory. Acquired: 1976.0 MiB, granted:
1008.0 MiB. Try tweaking config option spark.memory.offHeap.size to get larger
space to run this application (if
spark.gluten.memory.dynamic.offHeap.sizing.enabled is not enabled).
Current config settings:
spark.gluten.memory.offHeap.size.in.bytes=2.0 GiB
spark.gluten.memory.task.offHeap.size.in.bytes=2.0 GiB
spark.gluten.memory.conservative.task.offHeap.size.in.bytes=1024.0 MiB
spark.memory.offHeap.enabled=true
spark.gluten.memory.dynamic.offHeap.sizing.enabled=false
Memory consumer stats:
Task.15: Current used
bytes: 1040.0 MiB, peak bytes: N/A
\- Gluten.Tree.0: Current used
bytes: 1040.0 MiB, peak bytes: 2.0 GiB
\- root.0: Current used
bytes: 1040.0 MiB, peak bytes: 2.0 GiB
+- WholeStageIterator.0: Current used
bytes: 1040.0 MiB, peak bytes: 2.0 GiB
| \- single: Current used
bytes: 1040.0 MiB, peak bytes: 2.0 GiB
| +- root: Current used
bytes: 50.4 MiB, peak bytes: 2041.0 MiB
| | +- task.Gluten_Stage_1_TID_15_VTID_0: Current used
bytes: 50.4 MiB, peak bytes: 57.0 MiB
| | | +- node.0: Current used
bytes: 44.9 MiB, peak bytes: 52.0 MiB
| | | | +- op.0.0.0.TableScan: Current used
bytes: 44.9 MiB, peak bytes: 48.8 MiB
| | | | \- op.0.0.0.TableScan.test-hive: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| | | +- node.2: Current used
bytes: 3.8 MiB, peak bytes: 4.0 MiB
| | | | \- op.2.0.0.FilterProject: Current used
bytes: 3.8 MiB, peak bytes: 3.8 MiB
| | | \- node.1: Current used
bytes: 1680.0 KiB, peak bytes: 3.0 MiB
| | | \- op.1.0.0.FilterProject: Current used
bytes: 1680.0 KiB, peak bytes: 2.2 MiB
| | +- task.Gluten_Stage_1_TID_15_VTID_1: Current used
bytes: 2.1 KiB, peak bytes: 1986.0 MiB
| | | +- node.1: Current used
bytes: 2.0 KiB, peak bytes: 1024.0 KiB
| | | | \- op.1.0.0.FilterProject: Current used
bytes: 2.0 KiB, peak bytes: 2.0 KiB
| | | +- node.3: Current used
bytes: 128.0 B, peak bytes: 1024.0 KiB
| | | | \- op.3.0.0.FilterProject: Current used
bytes: 128.0 B, peak bytes: 256.0 B
| | | +- node.2: Current used
bytes: 0.0 B, peak bytes: 1984.0 MiB
| | | | \- op.2.0.0.OrderBy: Current used
bytes: 0.0 B, peak bytes: 16.5 MiB
| | | +- node.4: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| | | | \- op.4.0.0.PartialAggregation: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| | | \- node.0: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| | | \- op.0.0.0.ValueStream: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| | \- default_leaf: Current used
bytes: 1664.0 B, peak bytes: 1792.0 B
| \- gluten::MemoryAllocator: Current used
bytes: 0.0 B, peak bytes: 0.0 B
+- ArrowContextInstance.0: Current used
bytes: 0.0 B, peak bytes: 0.0 B
+- OverAcquire.DummyTarget.0: Current used
bytes: 0.0 B, peak bytes: 468.0 MiB
+- OverAcquire.DummyTarget.1: Current used
bytes: 0.0 B, peak bytes: 2.4 MiB
\- IndicatorVectorBase#init.0: Current used
bytes: 0.0 B, peak bytes: 8.0 MiB
\- single: Current used
bytes: 0.0 B, peak bytes: 8.0 MiB
+- root: Current used
bytes: 0.0 B, peak bytes: 0.0 B
| \- default_leaf: Current used
bytes: 0.0 B, peak bytes: 0.0 B
\- gluten::MemoryAllocator: Current used
bytes: 0.0 B, peak bytes: 0.0 B
at
org.apache.gluten.memory.memtarget.ThrowOnOomMemoryTarget.borrow(ThrowOnOomMemoryTarget.java:105)
at
org.apache.gluten.memory.listener.ManagedReservationListener.reserve(ManagedReservationListener.java:43)
at
org.apache.gluten.vectorized.ColumnarBatchOutIterator.nativeHasNext(Native
Method)
at
org.apache.gluten.vectorized.ColumnarBatchOutIterator.hasNextInternal(ColumnarBatchOutIterator.java:61)
at
org.apache.gluten.vectorized.GeneralOutIterator.hasNext(GeneralOutIterator.java:37)
at
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:45)
at
org.apache.gluten.utils.iterator.IteratorsV1$InvocationFlowProtection.hasNext(IteratorsV1.scala:159)
at
org.apache.gluten.utils.iterator.IteratorsV1$IteratorCompleter.hasNext(IteratorsV1.scala:71)
at
org.apache.gluten.utils.iterator.IteratorsV1$PayloadCloser.hasNext(IteratorsV1.scala:37)
at
org.apache.gluten.utils.iterator.IteratorsV1$LifeTimeAccumulator.hasNext(IteratorsV1.scala:100)
at scala.collection.Iterator.isEmpty(Iterator.scala:387)
at scala.collection.Iterator.isEmpty$(Iterator.scala:387)
at
org.apache.gluten.utils.iterator.IteratorsV1$LifeTimeAccumulator.isEmpty(IteratorsV1.scala:90)
at
org.apache.gluten.execution.VeloxColumnarToRowExec$.toRowIterator(VeloxColumnarToRowExec.scala:108)
at
org.apache.gluten.execution.VeloxColumnarToRowExec.$anonfun$doExecuteInternal$1(VeloxColumnarToRowExec.scala:79)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:855)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:855)
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:104)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
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.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
W20250421 16:16:07.298964 2510332 SortBuffer.cpp:234] Failed to reserve
2.88GB for memory pool op.2.0.0.OrderBy, usage: 0B, reservation: 0B
```
### Gluten version
Gluten-1.2
### Spark version
Spark-3.5.x
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
```bash
```
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