Michael Armbrust created SPARK-13876: ----------------------------------------
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 -- 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