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Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2018/09/28 21:47:00 UTC

[jira] [Created] (SPARK-25569) Failing a Spark job when an accumulator cannot be updated

Shixiong Zhu created SPARK-25569:
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             Summary: Failing a Spark job when an accumulator cannot be updated
                 Key: SPARK-25569
                 URL: https://issues.apache.org/jira/browse/SPARK-25569
             Project: Spark
          Issue Type: Improvement
          Components: Spark Core
    Affects Versions: 2.4.0
            Reporter: Shixiong Zhu


Currently, when Spark fails to merge an accumulator updates from a task, it will not fail the task. (See https://github.com/apache/spark/blob/b7d80349b0e367d78cab238e62c2ec353f0f12b3/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L1266) So an accumulator update failure may be ignored silently. Some user may want to use accumulators in business critical things, and would like to fail a job when an accumulator is broken.

We can add a flag to always fail a Spark job when hitting an accumulator failure. Or we can add a new property to an accumulator and only fail a spark job when such accumulator fails.



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