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Marco Gaido commented on SPARK-21938: ------------------------------------- It would be helpful if you can post a sample code to reproduce the issue with some sample data, thanks. > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org