[
https://issues.apache.org/jira/browse/SPARK-5509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-5509.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 4308
[https://github.com/apache/spark/pull/4308]
> EqualTo operator doesn't handle binary type properly
> ----------------------------------------------------
>
> Key: SPARK-5509
> URL: https://issues.apache.org/jira/browse/SPARK-5509
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.0, 1.1.1, 1.2.0, 1.3.0, 1.2.1
> Reporter: Cheng Lian
> Fix For: 1.3.0
>
>
> Binary type is mapped to {{Array\[Byte\]}}, which can't be compared with
> {{==}} directly. However, {{EqualTo.eval()}} uses plain {{==}} to compare
> values. Run the following {{spark-shell}} snippet with Spark 1.2.0 to
> reproduce this issue:
> {code}
> import org.apache.spark.sql.SQLContext
> import sc._
> val sqlContext = new SQLContext(sc)
> import sqlContext._
> case class KV(key: Int, value: Array[Byte])
> def toBinary(s: String): Array[Byte] = s.toString.getBytes("UTF-8")
> registerFunction("toBinary", toBinary _)
> parallelize(1 to 1024).map(i => KV(i,
> toBinary(i.toString))).registerTempTable("bin")
> // OK
> sql("select * from bin where value < toBinary('100')").collect()
> // Oops, returns nothing
> sql("select * from bin where value = toBinary('100')").collect()
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
