[jira] [Created] (SPARK-20007) Make SparkR apply() functions robust to workers that return empty data.frame

["Hossein Falaki (JIRA)" <ji...@apache.org>]

Hossein Falaki created SPARK-20007:
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             Summary: 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.



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