[jira] [Resolved] (SPARK-6201) INSET should coerce types

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-6201.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

> INSET should coerce types
> -------------------------
>
>                 Key: SPARK-6201
>                 URL: https://issues.apache.org/jira/browse/SPARK-6201
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.2.0, 1.2.1, 1.3.0
>            Reporter: Jianshi Huang
>            Assignee: Adrian Wang
>             Fix For: 1.4.0
>
>
> Suppose we have the following table:
> {code}
> sqlc.jsonRDD(sc.parallelize(Seq("{\"a\": \"1\"}}", "{\"a\": \"2\"}}", "{\"a\": \"3\"}}"))).registerTempTable("d")
> {code}
> The schema is
> {noformat}
> root
>  |-- a: string (nullable = true)
> {noformat}
> Then,
> {code}
> sql("select * from d where (d.a = 1 or d.a = 2)").collect
> =>
> Array([1], [2])
> {code}
> where d.a and constants 1,2 will be casted to Double first and do the comparison as you can find it out in the plan:
> {noformat}
> Filter ((CAST(a#155, DoubleType) = CAST(1, DoubleType)) || (CAST(a#155, DoubleType) = CAST(2, DoubleType)))
> {noformat}
> However, if I use
> {code}
> sql("select * from d where d.a in (1,2)").collect
> {code}
> The result is empty.
> The physical plan shows it's using INSET:
> {noformat}
> == Physical Plan ==
> Filter a#155 INSET (1,2)
>  PhysicalRDD [a#155], MappedRDD[499] at map at JsonRDD.scala:47
> {noformat}
> *It seems INSET implementation in SparkSQL doesn't coerce type implicitly, where Hive does. We should make SparkSQL conform to Hive's behavior, even though doing implicit coercion here is very confusing for comparing String and Int.*
> Jianshi



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