stefankandic commented on code in PR #46280:
URL: https://github.com/apache/spark/pull/46280#discussion_r1598434466
##########
python/pyspark/sql/types.py:
##########
@@ -876,30 +894,86 @@ def __init__(
self.dataType = dataType
self.nullable = nullable
self.metadata = metadata or {}
+ self._collationMetadata: Optional[Dict[str, str]] = None
def simpleString(self) -> str:
return "%s:%s" % (self.name, self.dataType.simpleString())
def __repr__(self) -> str:
return "StructField('%s', %s, %s)" % (self.name, self.dataType,
str(self.nullable))
+ def __eq__(self, other: Any) -> bool:
+ # since collationMetadata is lazy evaluated we should not use it in
equality check
Review Comment:
I would argue that just using `self.__dict__ == other.__dict__` is even more
dangerous and yet this is the current implementation of equals in all data
types. This was only done in order for assert to pass in the tests
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