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  1. Spark
  2. SPARK-26209

Allow for dataframe bucketization without Hive

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    Details

    • Type: Improvement
    • Status: Open
    • Priority: Minor
    • Resolution: Unresolved
    • Affects Version/s: 3.1.0
    • Fix Version/s: None
    • Component/s: Input/Output, Java API, SQL
    • Labels:
      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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              • Assignee:
                Unassigned
                Reporter:
                waldoppper Walt Elder
              • Votes:
                2 Vote for this issue
                Watchers:
                5 Start watching this issue

                Dates

                • Created:
                  Updated: