[
https://issues.apache.org/jira/browse/PARQUET-1080?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16143642#comment-16143642
]
Hyukjin Kwon edited comment on PARQUET-1080 at 8/28/17 11:09 AM:
-----------------------------------------------------------------
Hi [~sdalmia_asf], I happened to come here from your comment in a Spark's JIRA.
I think this does not look a Parquet specific issue yet to me, as you described
in the title. I would like to rather suggest opening a JIRA in Spark with a
proper steps to reproduce.
was (Author: hyukjin.kwon):
Hi [~sdalmia_asf], I happened to come here from your Spark's JIRA. I think this
does not look a Parquet specific issue yet to me, as you described in the
title. I would like to rather suggest opening a JIRA in Spark with a proper
steps to reproduce.
> 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)
