wenwj0 opened a new issue, #7605:
URL: https://github.com/apache/incubator-gluten/issues/7605
### Backend
VL (Velox)
### Bug description
I am trying to set
`spark.gluten.memory.dynamic.offHeap.sizing.enabled=true"`, but OOM exception
occurs.
spark configuration :
```
spark.executor.memory=4g;
spark.executor.memoryOverhead=1G;
spark.gluten.memory.dynamic.offHeap.sizing.enabled=true
spark.memory.offHeap.enabled=true
```
and web ui shows:
```
spark.gluten.memory.conservative.task.offHeap.size.in.bytes=597059174
spark.gluten.memory.offHeap.size.in.bytes=2388236697
spark.gluten.memory.task.offHeap.size.in.bytes=597059174
spark.memory.offHeap.size=2388236697
```
And I got the OOM exception:
```
Reason: Operator::getOutput failed for [operator: ValueStream, plan node ID:
0]: Error during calling Java code from native code:
org.apache.gluten.memory.memtarget.ThrowOnOomMemoryTarget$OutOfMemoryException:
Not enough spark off-heap execution memory. Acquired: 8.0 MiB, granted: 0.0 B.
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=3.4 GiB
spark.gluten.memory.task.offHeap.size.in.bytes=876.6 MiB
spark.gluten.memory.conservative.task.offHeap.size.in.bytes=876.6 MiB
spark.memory.offHeap.enabled=true
spark.gluten.memory.dynamic.offHeap.sizing.enabled=true
Memory consumer stats:
Task.52: Current used bytes:
104.0 MiB, peak bytes: N/A
\- Gluten.Tree.0: Current used bytes:
104.0 MiB, peak bytes: 112.0 MiB
\- root.0: Current used bytes:
104.0 MiB, peak bytes: 112.0 MiB
+- CelebornShuffleWriter.0: Current used bytes:
48.0 MiB, peak bytes: 48.0 MiB
| \- single: Current used bytes:
48.0 MiB, peak bytes: 48.0 MiB
| +- gluten::MemoryAllocator: Current used bytes:
28.8 MiB, peak bytes: 29.0 MiB
| \- root: Current used bytes:
4.2 MiB, peak bytes: 15.0 MiB
| \- default_leaf: Current used bytes:
4.2 MiB, peak bytes: 14.1 MiB
```
It may cause by:
```
24/10/18 17:16:00 WARN
org.apache.gluten.memory.memtarget.DynamicOffHeapSizingMemoryTarget: "Failing
allocation as unified memory is OOM. Used Off-heap: 406847480, Used On-Heap:
2021017784, Free On-heap: 1796847432, Total On-heap: 3817865216, Max On-heap:
2388236697, Allocation: 8388608."
24/10/18 17:16:00 INFO org.apache.spark.memory.TaskMemoryManager: "Memory
used in task 11"
24/10/18 17:16:00 INFO org.apache.spark.memory.TaskMemoryManager: "Acquired
by org.apache.gluten.memory.memtarget.spark.TreeMemoryConsumer@182a8cbe: 104.0
MiB"
24/10/18 17:16:00 INFO org.apache.spark.memory.TaskMemoryManager: "0 bytes
of memory were used by task 11 but are not associated with specific consumers"
24/10/18 17:16:00 INFO org.apache.spark.memory.TaskMemoryManager: "406847480
bytes of memory are used for execution and 1129714 bytes of memory are used for
storage"
```
**As we can see above, the used off-heap memory is only 406847480(388MiB),
while my off-heap configuration is 2.2GiB.**
Why will throw OOM exception?
### Spark version
Spark-3.2.x
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
_No response_
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