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  1. Spark
  2. SPARK-19573

Make NaN/null handling consistent in approxQuantile

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.2.0
    • Fix Version/s: 2.2.0
    • Component/s: SQL
    • Labels:
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    • Target Version/s:

      Description

      As discussed in https://github.com/apache/spark/pull/16776, this jira is used to track the following issue:
      Multi-column version of approxQuantile drop the rows containing any NaN/null, the results are not consistent with outputs of the single-version.

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              • Assignee:
                podongfeng zhengruifeng
                Reporter:
                podongfeng zhengruifeng
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                • Created:
                  Updated:
                  Resolved: