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  1. Spark
  2. SPARK-26209

Allow for dataframe bucketization without Hive

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Details

    • Improvement
    • Status: Open
    • Minor
    • Resolution: Unresolved
    • 3.1.0
    • None
    • Input/Output, Java API, SQL
    • None

    Description

      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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        Issue Links

          relates to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-26160 Make assertNotBucketed call in DataFrameWriter::save optional

          • Minor - Minor loss of function, or other problem where easy workaround is present.
          • Resolved

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              Unassigned Unassigned
              waldoppper Walt Elder
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              Dates

                Created:
                Updated: