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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/09/01 00:47:01 UTC
[jira] [Resolved] (SPARK-21852) Empty Parquet Files created as a
result of spark jobs fail when read
[ https://issues.apache.org/jira/browse/SPARK-21852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-21852.
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Resolution: Cannot Reproduce
[~sdalmia_asf], I think I need some details about "certain spark jobs" to check this issue. Otherwise, looks I am unable to follow and check. I am resolving this assuming it is currently difficult to provide the information.
Please let me know if you are actually aware of how to reproduce this that I could follow and try. I am resolving this for now and for the current status of this JIRA.
> Empty Parquet Files created as a result of spark jobs fail when read
> --------------------------------------------------------------------
>
> Key: SPARK-21852
> URL: https://issues.apache.org/jira/browse/SPARK-21852
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.2.0
> Reporter: Shivam Dalmia
>
> I have faced an issue intermittently with certain spark jobs writing parquet files which apparently succeed but the written .parquet directory in HDFS is an empty directory (with no _SUCCESS and _metadata parts, even). Surprisingly, no errors are thrown from spark dataframe writer.
> However, when attempting to read this written file, spark throws the error:
> {{Unable to infer schema for Parquet. It must be specified manually}}
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