[jira] [Created] (SPARK-21938) Spark partial CSV write fails silently

["Abbi McClintic (JIRA)" <ji...@apache.org>]

Abbi McClintic created SPARK-21938:
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             Summary: Spark partial CSV write fails silently
                 Key: SPARK-21938
                 URL: https://issues.apache.org/jira/browse/SPARK-21938
             Project: Spark
          Issue Type: Bug
          Components: Java API, Spark Core
    Affects Versions: 2.2.0
         Environment: Amazon EMR 5.8, varying instance types
            Reporter: Abbi McClintic


Hello,
My team has been experiencing a recurring unpredictable bug where only a partial write to CSV in S3 on one partition of our Dataset is performed. For example, in a Dataset of 10 partitions written to CSV in S3, we might see 9 of the partitions as 2.8 GB in size, but one of them as 1.6 GB. However, the job does not fail. 

This becomes problematic in the following ways:
1. When we copy the data to Redshift, we get a bad decrypt error on the partial file, suggesting that the failure occurred at a weird byte in the file. 
2. We lose data - sometimes as much as 10%. 

We don't see this problem with parquet, which we also use, but moving all of our data to parquet is not currently feasible. 

Any help on resolving this would be much appreciated.



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