HyukjinKwon commented on code in PR #38734:
URL: https://github.com/apache/spark/pull/38734#discussion_r1028721327
##########
python/pyspark/sql/connect/dataframe.py:
##########
@@ -122,6 +122,20 @@ def withPlan(cls, plan: plan.LogicalPlan, session:
"RemoteSparkSession") -> "Dat
new_frame._plan = plan
return new_frame
+ def isEmpty(self) -> bool:
+ """Returns ``True`` if this :class:`DataFrame` is empty.
+
+ .. versionadded:: 3.4.0
+
+ Returns
+ -------
+ bool
+ Whether it's empty DataFrame or not.
+ """
+ if "is_empty" not in self._cache:
+ self._cache["is_empty"] = len(self.take(1)) == 0
+ return bool(self._cache["is_empty"])
Review Comment:
I am fine with that but we can even do the caching in the DataFrame instead
of Spark Connect I guess (?)
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