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https://issues.apache.org/jira/browse/SPARK-21852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16144650#comment-16144650
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Hyukjin Kwon commented on SPARK-21852:
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I generally agree with Sean and am quite sure this is not an issue. However, I
want to make sure before resolving this (as at least I have seed few corner
cases so far).
BTW, I'd close Parquet's JIRA you opened. This does not look a Parquet issue. I
would resolve this if any more details can't be provided.
> 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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