Github user carsonwang commented on the pull request:
https://github.com/apache/spark/pull/8090#issuecomment-129724889
@squito , here are some further information about the issue. I was running
an iterative graph-parallel algorithm which uses RDD cache for iterative
computations. In job 3, if everything works correctly, only stage 16 and stage
17 will run, other stages 12-15 are skipped stages. In the failure case, stage
17 failed due to a fetch failure from stage 16. So the scheduler resubmitted
stage 16 which in turn submitted the missing stage 12. Stage 12 reads data from
HDFS but it only computes part of the partitions instead of all the partitions.
In this case, the internal accumulators are not created and it causes an
exception when the accumulators are accessed later.
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