[jira] [Assigned] (SPARK-15915) CacheManager should use canonicalized plan for planToCache.

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15915?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-15915:
------------------------------------

    Assignee: Apache Spark

> CacheManager should use canonicalized plan for planToCache.
> -----------------------------------------------------------
>
>                 Key: SPARK-15915
>                 URL: https://issues.apache.org/jira/browse/SPARK-15915
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Takuya Ueshin
>            Assignee: Apache Spark
>
> {{DataFrame}} with plan overriding {{sameResult}} but not using canonicalized plan to compare can't cacheTable.
> The example is like:
> {code}
>     val localRelation = Seq(1, 2, 3).toDF()
>     localRelation.createOrReplaceTempView("localRelation")
>     spark.catalog.cacheTable("localRelation")
>     assert(
>       localRelation.queryExecution.withCachedData.collect {
>         case i: InMemoryRelation => i
>       }.size == 1)
> {code}
> and this will fail as:
> {noformat}
> ArrayBuffer() had size 0 instead of expected size 1
> {noformat}
> The reason is that when do {{spark.catalog.cacheTable("localRelation")}}, {{CacheManager}} tries to cache for the plan wrapped by {{SubqueryAlias}} but when planning for the DataFrame {{localRelation}}, {{CacheManager}} tries to find cached table for the not-wrapped plan because the plan for DataFrame {{localRelation}} is not wrapped.
> Some plans like {{LocalRelation}}, {{LogicalRDD}}, etc. override {{sameResult}} method, but not use canonicalized plan to compare so the {{CacheManager}} can't detect the plans are the same.



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