Executor Memory in Apache Spark refers to the memory allocated to each work

What do you understand by Executor Memory in a Spark application?

Question Posted / Mr.manoj Kumar

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Answer Posted / Mr.manoj Kumar

Executor Memory in Apache Spark refers to the memory allocated to each worker node running executors. Executor Memory determines the amount of data that can be processed simultaneously on each node, and it plays a significant role in performance optimization. You can set Executor Memory using the "--executor-memory" configuration option.

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