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https://issues.apache.org/jira/browse/SPARK-21852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16143987#comment-16143987
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Sean Owen commented on SPARK-21852:
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The message isn't a problem, if there is no data at all. You're saying it's due
to some app-level failure, which explains it. There are no corrupt records
here. I don't see a problem described here, and those are better for the
mailing list or StackOverflow anyway.
> 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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