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