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Posted to issues@spark.apache.org by "Walt Elder (JIRA)" <ji...@apache.org> on 2018/11/28 21:35:00 UTC
[jira] [Created] (SPARK-26209) Allow for dataframe bucketization
without Hive
Walt Elder created SPARK-26209:
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Summary: 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: 2.4.0
Reporter: Walt Elder
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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