HyukjinKwon commented on code in PR #48159:
URL: https://github.com/apache/spark/pull/48159#discussion_r1766121985
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python/pyspark/sql/connect/expressions.py:
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@@ -489,7 +489,20 @@ def __repr__(self) -> str:
ts = TimestampNTZType().fromInternal(self._value)
if ts is not None and isinstance(ts, datetime.datetime):
return ts.strftime("%Y-%m-%d %H:%M:%S.%f")
- # TODO(SPARK-49693): Refine the string representation of timedelta
+ elif isinstance(self._dataType, DayTimeIntervalType):
+ delta = DayTimeIntervalType().fromInternal(self._value)
+ if delta is not None and isinstance(delta, datetime.timedelta):
+ try:
+ import pandas as pd
Review Comment:
spark connect requires pyarrow/pandas iirc so you won't need to handle
exceptions here if that's what you're covering
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