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https://issues.apache.org/jira/browse/SPARK-9347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14642030#comment-14642030
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Liang-Chi Hsieh commented on SPARK-9347:
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I am not sure if it will be backported to 1.3.1. But I guess it will not.
This fixing will use the summary file along with part-files as their schema and
assume they have consistent schema. So as long as the part-files in the same
partition directory have summary file, then these part-files will not be
loaded. Thus the parquet files loading time can be reduced.
I am not sure if this is what you want and can benefit your use case.
> 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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