Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/15821
> An instance of this must be used each time a ArrowRecordBatch is created
and then the batch and allocator must be released/closed after they have been
processed
I think it would useful to add test to check memory leaks in error cases,
for instance:
* Have a dataframe that throws exception after n rows. Invoke the arrow
conversion function, and check allocator memory usage.
* Have a dataframe that is slow, invoke the arrow conversion function,
cancel the task, and check allocator memory usage.
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