Question: What are possible reasons for a Spark executor running into an OutOfMemoryException? Spark.memoryOverhead is set too low. Running operations against an improperly distributed dataset. Merge

What are possible reasons for a Spark executor running into an OutOfMemoryException?
Spark.memoryOverhead is set too low.
Running operations against an improperly distributed dataset.
Merge joins against multiple small tables.
Broadcast joins against multiple large tables.
All of the above
What are possible reasons for a Spark executor running into an

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