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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/06/24 23:52:05 UTC
[jira] [Updated] (SPARK-8572) Type coercion for ScalaUDFs
[ https://issues.apache.org/jira/browse/SPARK-8572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust updated SPARK-8572:
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Target Version/s: 1.5.0, 1.4.2 (was: 1.4.1, 1.5.0, 1.4.2)
> Type coercion for ScalaUDFs
> ---------------------------
>
> Key: SPARK-8572
> URL: https://issues.apache.org/jira/browse/SPARK-8572
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
> Priority: Critical
>
> Seems we do not do type coercion for ScalaUDFs. The following code will hit a runtime exception.
> {code}
> import org.apache.spark.sql.functions._
> val myUDF = udf((x: Int) => x + 1)
> val df = sqlContext.range(1, 10).toDF("i").select(myUDF($"i"))
> df.explain(true)
> df.show
> {code}
> It is also good to check if we do type coercion for PythonUDFs.
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