David Gingrich created SPARK-19507:
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Summary: 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:
```
>>> 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.
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