[
https://issues.apache.org/jira/browse/PARQUET-1080?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16146432#comment-16146432
]
Hyukjin Kwon commented on PARQUET-1080:
---------------------------------------
I think it is not actionable within Parquet. I'd also suggest to close this if
you also think it does not look a Parquet-specific issue for now. Up to my
knowledge, Parquet file itself works fine with a footer only file.
> Empty Parquet Files created as a result of spark jobs fail when read
> --------------------------------------------------------------------
>
> Key: PARQUET-1080
> URL: https://issues.apache.org/jira/browse/PARQUET-1080
> Project: Parquet
> Issue Type: Bug
> Components: parquet-format
> Reporter: Shivam Dalmia
> Priority: Minor
>
> 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}}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
