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

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

     [ https://issues.apache.org/jira/browse/SPARK-21938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Abbi McClintic closed SPARK-21938.
----------------------------------
    Resolution: Cannot Reproduce

> 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 exit with an error code. 
> 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. We're using the Java API.
> Any help on resolving this would be much appreciated.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org