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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2016/03/14 23:44:33 UTC

[jira] [Created] (SPARK-13876) Strategy for planning scans of files

Michael Armbrust created SPARK-13876:
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             Summary: Strategy for planning scans of files
                 Key: SPARK-13876
                 URL: https://issues.apache.org/jira/browse/SPARK-13876
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
            Reporter: Michael Armbrust
            Assignee: Michael Armbrust
            Priority: Critical


We should specialize the logic for planning scans over sets of files.  Requirements:
 - remove the need to have RDD, broadcastedHadoopConf and other distributed concerns in the public API of org.apache.spark.sql.sources.FileFormat
 - Partition column appending should be delegated to the format to avoid an extra copy / devectorization when appending partition columns
 - Should minimize the amount of data that is shipped to each executor (i.e. it does not send the whole list of files to every worker in the form of a hadoop conf)
 - should natively support bucketing files into partitions, and thus does not require coalescing / creating a UnionRDD with the correct partitioning.
 - Small files should be automatically coalesced into fewer tasks



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