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https://issues.apache.org/jira/browse/SPARK-9347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14644525#comment-14644525
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Samphel Norden commented on SPARK-9347:
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Understood. However, what I noticed is that Parquet Hadoop job only outputs a
_common_metadata file at the top level directory. I assume that will be the
file thats read if I give the top level directory as input to
sqlContext.parquetFile(). i.e. it doesnt expect the _common_metadata to be
present in the subdirectories. Or am I incorrect in the assumption?
> spark load of existing parquet files extremely slow if large number of files
> ----------------------------------------------------------------------------
>
> Key: SPARK-9347
> URL: https://issues.apache.org/jira/browse/SPARK-9347
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.1
> Reporter: Samphel Norden
>
> When spark sql shell is launched and we point it to a folder containing a
> large number of parquet files, the sqlContext.parquetFile() command takes a
> very long time to load the tables.
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