zhengruifeng commented on code in PR #44689:
URL: https://github.com/apache/spark/pull/44689#discussion_r1452017640
##########
python/pyspark/sql/tests/connect/test_connect_basic.py:
##########
@@ -558,6 +558,35 @@ def test_invalid_column(self):
):
cdf1.select(cdf2.a).schema
+ def test_invalid_star(self):
Review Comment:
```
In [4]: cdf1 = spark.createDataFrame([Row(a=1, b=2, c=3)])
In [5]: cdf2 = spark.createDataFrame([Row(a=2, b=0)])
In [6]: cdf3 = cdf1.select(cdf1.a)
In [7]: cdf3.select(cdf1["*"]).schema
...
AnalysisException:
[MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_MISSING_FROM_INPUT] Resolved
attribute(s) "b", "c" missing from "a" in operator !Project [a#0L, b#1L, c#2L].
SQLSTATE: XX000;
!Project [a#0L, b#1L, c#2L]
+- Project [a#0L]
+- LogicalRDD [a#0L, b#1L, c#2L], false
In [8]: cdf1.select(cdf2["*"]).schema
...
AnalysisException:
[MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_APPEAR_IN_OPERATION] Resolved
attribute(s) "a", "b" missing from "a", "b", "c" in operator !Project [a#6L,
b#7L]. Attribute(s) with the same name appear in the operation: "a", "b".
Please check if the right attribute(s) are used. SQLSTATE: XX000;
!Project [a#6L, b#7L]
+- LogicalRDD [a#0L, b#1L, c#2L], false
In [9]: cdf1.join(cdf1).select(cdf1["*"]).schema
Out[9]: StructType([StructField('a', LongType(), True), StructField('b',
LongType(), True), StructField('c', LongType(), True)])
```
`cdf1.join(cdf1).select(cdf1["*"])` won't fail due to
AMBIGUOUS_COLUMN_REFERENCE
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