Andrew Ash created SPARK-3750:
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Summary: Log ulimit settings at warning if they are too low
Key: SPARK-3750
URL: https://issues.apache.org/jira/browse/SPARK-3750
Project: Spark
Issue Type: Improvement
Affects Versions: 1.1.0
Reporter: Andrew Ash
In recent versions of Spark the shuffle implementation is much more aggressive
about writing many files out to disk at once. Most linux kernels have a
default limit in the number of open files per process, and Spark can exhaust
this limit. The current hash-based shuffle implementation requires as many
files as the product of the map and reduce partition counts in a wide
dependency.
In order to reduce the errors we're seeing on the user list, we should
determine a value that is considered "too low" for normal operations and log a
warning on executor startup when that value isn't met.
1. determine what ulimit is acceptable
2. log when that value isn't met
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