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Posted to issues@spark.apache.org by "AidenZhang (Jira)" <ji...@apache.org> on 2020/07/07 09:24:00 UTC
[jira] [Commented] (SPARK-29038) SPIP: Support Spark Materialized
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[ https://issues.apache.org/jira/browse/SPARK-29038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17152592#comment-17152592 ]
AidenZhang commented on SPARK-29038:
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Hi [~cltlfcjin]
Recently I've also been working on how spark SQL supports materialized views ,I wanna know if your plan has been completed? If you have already finished the plan ,could you please share your latest design documents,
Looking forward to your early reply，thank you !
> SPIP: Support Spark Materialized View
> -------------------------------------
>
> Key: SPARK-29038
> URL: https://issues.apache.org/jira/browse/SPARK-29038
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Lantao Jin
> Priority: Major
>
> Materialized view is an important approach in DBMS to cache data to accelerate queries. By creating a materialized view through SQL, the data that can be cached is very flexible, and needs to be configured arbitrarily according to specific usage scenarios. The Materialization Manager automatically updates the cache data according to changes in detail source tables, simplifying user work. When user submit query, Spark optimizer rewrites the execution plan based on the available materialized view to determine the optimal execution plan.
> Details in [design doc|https://docs.google.com/document/d/1q5pjSWoTNVc9zsAfbNzJ-guHyVwPsEroIEP8Cca179A/edit?usp=sharing]
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