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Posted to dev@parquet.apache.org by "Shivam Dalmia (JIRA)" <ji...@apache.org> on 2017/08/28 16:40:00 UTC
[jira] [Resolved] (PARQUET-1081) Empty Parquet Files created as a
result of spark jobs fail when read again
[ https://issues.apache.org/jira/browse/PARQUET-1081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shivam Dalmia resolved PARQUET-1081.
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Resolution: Invalid
> Empty Parquet Files created as a result of spark jobs fail when read again
> --------------------------------------------------------------------------
>
> Key: PARQUET-1081
> URL: https://issues.apache.org/jira/browse/PARQUET-1081
> 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}}
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