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Felix Cheung commented on SPARK-20007: -------------------------------------- any taker on this for 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