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https://issues.apache.org/jira/browse/SPARK-9347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14644518#comment-14644518
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Liang-Chi Hsieh commented on SPARK-9347:
----------------------------------------

Currently, as we discussed in the PR, we will read the summary files in each 
partition directory and skip corresponding part-files. If there are no summary 
files in the partition directory, the part-files will be read.

> 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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