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Posted to issues@spark.apache.org by "Hurshal Patel (JIRA)" <ji...@apache.org> on 2015/12/16 00:36:46 UTC
[jira] [Updated] (SPARK-12348) PySpark _inferSchema crashes with
incorrect exception on an empty RDD
[ https://issues.apache.org/jira/browse/SPARK-12348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hurshal Patel updated SPARK-12348:
----------------------------------
Description:
{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
was:
{code:python}
>>> 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
> 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
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