HyukjinKwon commented on code in PR #37995:
URL: https://github.com/apache/spark/pull/37995#discussion_r983342183
##########
python/pyspark/pandas/series.py:
##########
@@ -6442,6 +6445,8 @@ def argmin(self, axis: Axis = None, skipna: bool = True)
-> int:
raise ValueError("axis can only be 0 or 'index'")
sdf = self._internal.spark_frame.select(self.spark.column,
NATURAL_ORDER_COLUMN_NAME)
seq_col_name = verify_temp_column_name(sdf,
"__distributed_sequence_column__")
+
+ cached = sdf.cache()
Review Comment:
`RDD.zipWithIndex` eagerly lunches a job to calculate the partition. So once
the RDD is created from Spark Plan, the additional job won't be triggered
again. But yeah, it has the downside of truncating the plan.
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