Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17435#discussion_r108103801
--- 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 --
It is valid call for `DataType`s but I don't think it is against
`StructField`. If you look at the Scala-side codes, `StructField` is not a
`DataType` but it seems the parent became `DataType` in Python for some reason
in the PR I pointed out. In any way, It seems ["`A field inside a
StructType`"](https://github.com/apache/spark/blob/3694ba48f0db0f47baea4b005cdeef3f454b7329/sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructField.scala#L26).
If you want to know the schema, you could simply
```python
>>> spark.range(1).schema[0].simpleString()
'id:bigint'
>>> spark.range(1).schema.simpleString()
'struct<id:bigint>'
```
Could you elaborate your use-case and why `simpleString` is not enough?
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