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From "Wenchen Fan (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19507) pyspark.sql.types._verify_type() exceptions too broad to debug collections or nested data
Date Tue, 04 Jul 2017 12:47:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wenchen Fan resolved SPARK-19507.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

Issue resolved by pull request 18521
[https://github.com/apache/spark/pull/18521]

> pyspark.sql.types._verify_type() exceptions too broad to debug collections or nested
data
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-19507
>                 URL: https://issues.apache.org/jira/browse/SPARK-19507
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark
>    Affects Versions: 2.1.0
>         Environment: macOS Sierra 10.12.3
> Spark 2.1.0, installed via Homebrew
>            Reporter: David Gingrich
>            Priority: Trivial
>             Fix For: 2.3.0
>
>
> The private function pyspark.sql.types._verify_type() recursively checks an object against
a datatype, raising an exception if the object does not satisfy the type.  These messages
are not specific enough to debug a data error in a collection or nested data, for instance:
> {quote}
> >>> import pyspark.sql.types as typ
> >>> schema = typ.StructType([typ.StructField('nest1', typ.MapType(typ.StringType(),
typ.ArrayType(typ.FloatType())))])
> >>> typ._verify_type({'nest1': {'nest2': [1]}}, schema)
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/Users/david/src/3p/spark/python/pyspark/sql/types.py", line 1355, in _verify_type
>     _verify_type(obj.get(f.name), f.dataType, f.nullable, name=new_name)
>   File "/Users/david/src/3p/spark/python/pyspark/sql/types.py", line 1349, in _verify_type
>     _verify_type(v, dataType.valueType, dataType.valueContainsNull, name=new_name)
>   File "/Users/david/src/3p/spark/python/pyspark/sql/types.py", line 1342, in _verify_type
>     _verify_type(i, dataType.elementType, dataType.containsNull, name=new_name)
>   File "/Users/david/src/3p/spark/python/pyspark/sql/types.py", line 1325, in _verify_type
>     % (name, dataType, obj, type(obj)))
> TypeError: FloatType can not accept object 1 in type <class 'int'>
> {quote}
> Passing and printing a field name would make debugging easier.



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