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https://spoddutur.github.io/spark-notes/distribution_of_executors_cores_and_memory_for_spark_application
So, if we request 20GB per executor, AM will actually get 20GB + memoryOverhead = 20 + 7% of 20GB = ~23GB memory for us.
20GB + memoryOverhead = 20 + 7% of 20GB = ~22GB
The text was updated successfully, but these errors were encountered:
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https://spoddutur.github.io/spark-notes/distribution_of_executors_cores_and_memory_for_spark_application
So, if we request 20GB per executor, AM will actually get 20GB + memoryOverhead = 20 + 7% of 20GB = ~23GB memory for us.
20GB + memoryOverhead = 20 + 7% of 20GB = ~22GB
The text was updated successfully, but these errors were encountered: