[jira] [Resolved] (SPARK-3212) Improve the clarity of caching semantics

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-3212.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0

Issue resolved by pull request 2501
[https://github.com/apache/spark/pull/2501]

> Improve the clarity of caching semantics
> ----------------------------------------
>
>                 Key: SPARK-3212
>                 URL: https://issues.apache.org/jira/browse/SPARK-3212
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Michael Armbrust
>            Assignee: Michael Armbrust
>            Priority: Blocker
>             Fix For: 1.2.0
>
>
> Right now there are a bunch of different ways to cache tables in Spark SQL. For example:
>  - tweets.cache()
>  - sql("SELECT * FROM tweets").cache()
>  - table("tweets").cache()
>  - tweets.cache().registerTempTable(tweets)
>  - sql("CACHE TABLE tweets")
>  - cacheTable("tweets")
> Each of the above commands has subtly different semantics, leading to a very confusing user experience.  Ideally, we would stop doing caching based on simple tables names and instead have a phase of optimization that does intelligent matching of query plans with available cached data.



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