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https://issues.apache.org/jira/browse/SPARK-9347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14642040#comment-14642040
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Samphel Norden commented on SPARK-9347:
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It will certainly help.Is it sufficient to put the _metadata file at the top
level folder or does every subfolder need the metadata... For example, I have a
hiearchy root/parquet_date=<>/parquet_hour_of_day=<>/part*.snappy.parquet
Is it sufficient if _metadata files are present at root or do they have to be
in each parquet_hour_of_day=<> leaf folder.
Thanks
> 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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