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From "Josh Rosen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-6319) DISTINCT doesn't work for binary type
Date Mon, 13 Jul 2015 18:00:05 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Rosen updated SPARK-6319:
------------------------------
    Priority: Critical  (was: Major)

> DISTINCT doesn't work for binary type
> -------------------------------------
>
>                 Key: SPARK-6319
>                 URL: https://issues.apache.org/jira/browse/SPARK-6319
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.0.2, 1.1.1, 1.2.1, 1.3.0
>            Reporter: Cheng Lian
>            Priority: Critical
>
> Spark shell session for reproduction:
> {noformat}
> scala> import sqlContext.implicits._
> scala> import org.apache.spark.sql.types._
> scala> Seq(1, 1, 2, 2).map(i => Tuple1(i.toString)).toDF("c").select($"c" cast
BinaryType).distinct.show()
> ...
> CAST(c, BinaryType)
> [B@43f13160
> [B@5018b648
> [B@3be22500
> [B@476fc8a1
> {noformat}
> Spark SQL uses plain byte arrays to represent binary values. However, arrays are compared
by reference rather than by value. On the other hand, the DISTINCT operator uses a {{HashSet}}
and its {{.contains}} method to check for duplicated values. These two facts together cause
the problem.



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