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Posted to issues@spark.apache.org by "David Gingrich (JIRA)" <ji...@apache.org> on 2017/02/08 02:17:41 UTC
[jira] [Updated] (SPARK-19507) pyspark.sql.types._verify_type()
exceptions too broad to debug collections or nested data
[ https://issues.apache.org/jira/browse/SPARK-19507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
David Gingrich updated SPARK-19507:
-----------------------------------
Description:
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.
was:
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:
```
>>> 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'>
```
Passing and printing a field name would make debugging easier.
> 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
>
> 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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