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Liang-Chi Hsieh commented on SPARK-9347: ---------------------------------------- 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. -- 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