[
https://issues.apache.org/jira/browse/SPARK-20007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Felix Cheung updated SPARK-20007:
---------------------------------
Target Version/s: 2.3.0
> Make SparkR apply() functions robust to workers that return empty data.frame
> ----------------------------------------------------------------------------
>
> Key: SPARK-20007
> URL: https://issues.apache.org/jira/browse/SPARK-20007
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.2.0
> Reporter: Hossein Falaki
>
> When using {{gapply()}} (or other members of {{apply()}} family) with a
> schema, Spark will try to parse data returned form the R process on each
> worker as Spark DataFrame Rows based on the schema. In this case our provided
> schema suggests that we have six column. When an R worker returns results to
> JVM, SparkSQL will try to access its columns one by one and cast them to
> proper types. If R worker returns nothing, JVM will throw
> {{ArrayIndexOutOfBoundsException}} exception.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
