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Posted to issues@spark.apache.org by "Ravi Chittilla (JIRA)" <ji...@apache.org> on 2018/02/02 19:53:00 UTC
[jira] [Commented] (SPARK-21852) Empty Parquet Files created as a
result of spark jobs fail when read
[ https://issues.apache.org/jira/browse/SPARK-21852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16350871#comment-16350871 ]
Ravi Chittilla commented on SPARK-21852:
----------------------------------------
+1
> 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
> Priority: Major
>
> 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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