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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/06/09 23:29:00 UTC
[jira] [Updated] (SPARK-26209) Allow for dataframe bucketization
without Hive
[ https://issues.apache.org/jira/browse/SPARK-26209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-26209:
----------------------------------
Affects Version/s: (was: 2.4.0)
3.0.0
> Allow for dataframe bucketization without Hive
> ----------------------------------------------
>
> Key: SPARK-26209
> URL: https://issues.apache.org/jira/browse/SPARK-26209
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output, Java API, SQL
> Affects Versions: 3.0.0
> Reporter: Walt Elder
> Priority: Minor
>
> As a DataFrame author, I can elect to bucketize my output without involving Hive or HMS, so that my hive-less environment can benefit from this query-optimization technique.
>
> https://issues.apache.org/jira/browse/SPARK-19256?focusedCommentId=16345397&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16345397 identifies this as a shortcoming with the umbrella feature in provided via SPARK-19256.
>
> In short, relying on Hive to store metadata *precludes* environments which don't have/use hive from making use of bucketization features.
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