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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