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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/04/25 16:44:00 UTC
[jira] [Assigned] (SPARK-27248) REFRESH TABLE should recreate cache
with same cache name and storage level
[ https://issues.apache.org/jira/browse/SPARK-27248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-27248:
------------------------------------
Assignee: (was: Apache Spark)
> REFRESH TABLE should recreate cache with same cache name and storage level
> --------------------------------------------------------------------------
>
> Key: SPARK-27248
> URL: https://issues.apache.org/jira/browse/SPARK-27248
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: William Wong
> Priority: Major
>
> If we refresh a cached table, the table cache will be first uncached and then recache (lazily). Currently, the logic is embedded in CatalogImpl.refreshTable method.
> The current implementation does not preserve the cache name and storage level. As a result, cache name and cache level could be changed after a REFERSH. IMHO, it is not what a user would expect.
> I would like to fix this behavior by first save the cache name and storage level for recaching the table.
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