[jira] [Updated] (SPARK-26764) [SPIP] Spark Relational Cache

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-26764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-26764:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> [SPIP] Spark Relational Cache
> -----------------------------
>
>                 Key: SPARK-26764
>                 URL: https://issues.apache.org/jira/browse/SPARK-26764
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Adrian Wang
>            Priority: Major
>         Attachments: Relational+Cache+SPIP.pdf
>
>
> In modern database systems, relational cache is a common technology to boost ad-hoc queries. While Spark provides cache natively, Spark SQL should be able to utilize the relationship between relations to boost all possible queries. In this SPIP, we will make Spark be able to utilize all defined cached relations if possible, without explicit substitution in user query, as well as keep some user defined cache available in different sessions. Materialized views in many database systems provide similar function.



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