Github user szalai1 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17435#discussion_r108100937
--- Diff: python/pyspark/sql/types.py ---
@@ -57,7 +57,25 @@ def __ne__(self, other):
@classmethod
def typeName(cls):
- return cls.__name__[:-4].lower()
+ typeTypeNameMap = {"DataType": "data",
+ "NullType": "null",
+ "StringType": "string",
+ "BinaryType": "binary",
+ "BooleanType": "boolean",
+ "DateType": "date",
+ "TimestampType": "timestamp",
+ "DecimalType": "decimal",
+ "DoubleType": "double",
+ "FloatType": "float",
+ "ByteType": "byte",
+ "IntegerType": "integer",
+ "LongType": "long",
+ "ShortType": "short",
+ "ArrayType": "array",
+ "MapType": "map",
+ "StructField": "struct",
--- End diff --
@viirya The way I found this bug:
I wanted to figure out the schema of a dataset. I loaded it into a data
frame and asked its schema. Then I called the `typeName` on each column. I do
not know this is/was best way to do this, but I think it is valid to call
`typeName` against a `dataType` to get its real type.
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