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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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