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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-18760) Provide consistent format output for all file formats
Date Wed, 07 Dec 2016 05:24:58 GMT

     [ https://issues.apache.org/jira/browse/SPARK-18760?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-18760:
------------------------------------

    Assignee: Apache Spark  (was: Reynold Xin)

> Provide consistent format output for all file formats
> -----------------------------------------------------
>
>                 Key: SPARK-18760
>                 URL: https://issues.apache.org/jira/browse/SPARK-18760
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Apache Spark
>
> We currently rely on FileFormat implementations to override toString in order to get
a proper explain output. It'd be better to just depend on shortName for those.
> Before:
> {noformat}
> scala> spark.read.text("test.text").explain()
> == Physical Plan ==
> *FileScan text [value#15] Batched: false, Format: org.apache.spark.sql.execution.datasources.text.TextFileFormat@xyz,
Location: InMemoryFileIndex[file:/scratch/rxin/spark/test.text], PartitionFilters: [], PushedFilters:
[], ReadSchema: struct<value:string>
> {noformat}
> After:
> {noformat}
> scala> spark.read.text("test.text").explain()
> == Physical Plan ==
> *FileScan text [value#15] Batched: false, Format: text, Location: InMemoryFileIndex[file:/scratch/rxin/spark/test.text],
PartitionFilters: [], PushedFilters: [], ReadSchema: struct<value:string>
> {noformat}



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