Job tuning considerations
The EMRFS S3-optimized committer consumes a small amount of memory for each
file written by a task attempt until the task gets committed or aborted. In most
jobs, the amount of memory consumed is negligible. For jobs that have
long-running tasks that write a large number of files, the memory that the
committer consumes may be noticeable and require adjustments to the memory
allocated for Spark executors. You can tune executor memory using the
spark.executor.memory property. As a guideline, a single task
writing 100,000 files would typically require an additional 100MB of memory. For
more information, see Application properties
