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https://issues.apache.org/jira/browse/SPARK-12348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-12348.
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Resolution: Not A Bug
> PySpark _inferSchema crashes with incorrect exception on an empty RDD
> ---------------------------------------------------------------------
>
> Key: SPARK-12348
> URL: https://issues.apache.org/jira/browse/SPARK-12348
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.5.0
> Reporter: Hurshal Patel
> Priority: Minor
>
> {code}
> >>> rdd = sc.emptyRDD()
> >>> df = sqlContext.createDataFrame(rdd)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/memsql/spark/python/pyspark/sql/context.py", line 404, in
> createDataFrame
> rdd, schema = self._createFromRDD(data, schema, samplingRatio)
> File "/home/memsql/spark/python/pyspark/sql/context.py", line 285, in
> _createFromRDD
> struct = self._inferSchema(rdd, samplingRatio)
> File "/home/memsql/spark/python/pyspark/sql/context.py", line 229, in
> _inferSchema
> first = rdd.first()
> File "/home/memsql/spark/python/pyspark/rdd.py", line 1320, in first
> raise ValueError("RDD is empty")
> ValueError: RDD is empty
> {code}
> -throws "RDD is empty" in rdd.first() instead of the intended message "The
> first row in RDD is empty, can not infer schema" in sqlContext._inferSchema-
> throws "RDD is empty" in rdd.first() but could throw "The RDD is empty, can
> not infer schema" in sqlContext._inferSchema
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