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Posted to issues@spark.apache.org by "Charles Reiss (JIRA)" <ji...@apache.org> on 2014/11/12 01:49:33 UTC

[jira] [Created] (SPARK-4351) Record cacheable RDD reads and display RDD miss rates

Charles Reiss created SPARK-4351:
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             Summary: Record cacheable RDD reads and display RDD miss rates
                 Key: SPARK-4351
                 URL: https://issues.apache.org/jira/browse/SPARK-4351
             Project: Spark
          Issue Type: Improvement
            Reporter: Charles Reiss
            Priority: Minor


Currently, when Spark fails to keep an RDD cached, there is little visibility to the user (beyond performance effects), especially if the user is not reading executor logs. We could expose this information to the Web UI and the event log like we do for RDD storage information by reporting RDD reads and their results with task metrics.

>From this, live computation of RDD miss rates is straightforward, and information in the event log would enable more complicated post-hoc analyses.



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