spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "e89ff95a (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-19056) Row encoder should accept optional types
Date Tue, 03 Jan 2017 12:32:58 GMT
e89ff95a created SPARK-19056:
--------------------------------

             Summary: Row encoder should accept optional types
                 Key: SPARK-19056
                 URL: https://issues.apache.org/jira/browse/SPARK-19056
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0, 2.0.0, 2.2.0
            Reporter: e89ff95a


Since Spark 2.0 Spark doesn't accept optional types with `RowEncoder`:

{code}

import org.apache.spark.sql.types._
import org.apache.spark.sql.Row

spark.createDataFrame(
  sc.parallelize(Seq(Row(None))),
  StructType(Seq(StructField("v", StringType, true)))
).first

// Caused by: java.lang.RuntimeException: Error while encoding: java.lang.RuntimeException:
scala.None$ is not a valid external type for schema of string


{code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message