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Explain the process to trigger automatic clean-up in Spark to manage accumulated metadata.
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Answer / Sandeep Nigam
In Apache Spark, you can configure automatic cleanup of temporary storage (such as RDD checkpoints and cached data) using the configuration options `spark.cleaner.enabled`, `spark.eventLog.enabled`, and `spark.eventLog.maximumEventLogEntries`. Enabling these options will trigger Spark to clean up accumulated metadata periodically or based on storage limits.
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