zhengruifeng commented on code in PR #42828:
URL: https://github.com/apache/spark/pull/42828#discussion_r1345375669
##########
python/pyspark/sql/tests/test_dataframe.py:
##########
@@ -63,6 +62,51 @@
class DataFrameTestsMixin:
+ def test_getitem_invalid_indices(self):
+ df = self.spark.sql(
+ "SELECT * FROM VALUES "
+ "(1, 1.1, 'a'), "
+ "(2, 2.2, 'b'), "
+ "(4, 4.4, 'c') "
+ "AS TAB(a, b, c)"
+ )
+
+ # accepted type and values
+ for index in [False, True, 0, 1, 2, -1, -2, -3]:
+ df[index]
Review Comment:
```
scala> val df = Seq((2, 1), (1, 2)).toDF("a", "b")
val df: org.apache.spark.sql.DataFrame = [a: int, b: int]
scala> df.show()
+---+---+
| a| b|
+---+---+
| 2| 1|
| 1| 2|
+---+---+
scala> df.orderBy(lit(1)).show()
+---+---+
| a| b|
+---+---+
| 1| 2|
| 2| 1|
+---+---+
scala> df.groupBy(lit(1)).agg(first(col("a")), max(col("b"))).show()
+---+--------+------+
| 1|first(a)|max(b)|
+---+--------+------+
| 1| 2| 2|
+---+--------+------+
```
it seems `orderBy(lit(1))` directly works, while `groupBy(lit(1))` needs
some investigation.
Let me revert this PR first
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