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https://issues.apache.org/jira/browse/SPARK-15915?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-15915:
-------------------------------------
Assignee: Takuya Ueshin
> 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: Takuya Ueshin
> Fix For: 2.0.0
>
>
> {{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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