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https://issues.apache.org/jira/browse/SPARK-9347?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Samphel Norden reopened SPARK-9347:
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I dont think spark-8125 is the issue to which this shd be linked... Spark 8838
is the relevant jira that Chi-Liang mentioned in the PR (earlier comments).
The problem can be fixed by a distributed spark job but thats still
inefficient. Instead there should be an option to skip reading the part files
and just read the _common_metadata if schema is identical. Spark 8838 is
referencing such an option.
> 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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