ueshin commented on code in PR #50286:
URL: https://github.com/apache/spark/pull/50286#discussion_r1999339256
##########
python/pyspark/sql/tests/test_dataframe.py:
##########
@@ -1076,6 +1076,32 @@ def test_metadata_column(self):
[Row(0), Row(0), Row(0)],
)
+ def test_with_column_and_generator(self):
+ # SPARK-51451: Generators should be available with withColumn
+ df = self.spark.createDataFrame([("082017",)], ["dt"]).select(
+ to_date(col("dt"), "MMyyyy").alias("dt")
+ )
+ df_dt = df.withColumn("dt", date_format(col("dt"), "MM/dd/yyyy"))
+ monthArray = [lit(x) for x in range(0, 12)]
+ df_month_y = df_dt.withColumn("month_y", explode(array(monthArray)))
Review Comment:
For this example, its parsed plan is:
```
== Parsed Logical Plan ==
'Project [unresolvedstarwithcolumns(month_y, 'explode('array(0, 1, 2, 3, 4,
5, 6, 7, 8, 9, 10, 11)), Some(List({})))]
+- 'Project ['date_format('to_date('dt, MMyyyy), MM/dd/yyyy) AS dt#5]
+- 'UnresolvedSubqueryColumnAliases [dt]
+- LocalRelation [dt#4]
```
Here `explode` is nested in `unresolvedstarwithcolumns`.
I also updated the description.
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