[jira] [Assigned] (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
]
Wenchen Fan reassigned SPARK-19507:
---
Assignee: Hyukjin Kwon
> 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
>Assignee: Hyukjin Kwon
>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 "", line 1, in
> 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
> {quote}
> Passing and printing a field name would make debugging easier.
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[jira] [Assigned] (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
]
Apache Spark reassigned SPARK-19507:
Assignee: Apache Spark
> 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
>Assignee: Apache Spark
>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 "", line 1, in
> 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
> {quote}
> Passing and printing a field name would make debugging easier.
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[jira] [Assigned] (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
]
Apache Spark reassigned SPARK-19507:
Assignee: (was: Apache Spark)
> 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 "", line 1, in
> 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
> {quote}
> Passing and printing a field name would make debugging easier.
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