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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