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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2016/06/10 07:43:21 UTC

[jira] [Created] (SPARK-15867) TABLESAMPLE BUCKET semantics don't match Hive's

Andrew Or created SPARK-15867:
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             Summary: TABLESAMPLE BUCKET semantics don't match Hive's
                 Key: SPARK-15867
                 URL: https://issues.apache.org/jira/browse/SPARK-15867
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
            Reporter: Andrew Or


{code}
SELECT * FROM boxes TABLESAMPLE (BUCKET 3 OUT OF 16)
{code}

In Hive, this would select the 3rd bucket out of every 16 buckets there are in the table. E.g. if the table was clustered by 32 buckets then this would sample the 3rd and the 19th bucket. (See https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Sampling)

In Spark, however, we simply sample 3/16 of the number of input rows.

Either we don't support it in Spark or do it in a way that's consistent with Hive.



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