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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org