zhengruifeng opened a new pull request, #49056:
URL: https://github.com/apache/spark/pull/49056
### What changes were proposed in this pull request?
Fix self-join after `applyInArrow`
### Why are the changes needed?
bug fix
before:
```
In [1]: import pyarrow as pa
In [2]: df = spark.createDataFrame([(1, 1)], ("k", "v"))
In [3]: def arrow_func(key, table):
...: return pa.Table.from_pydict({"x": [2], "y": [2]})
...:
In [4]: df2 = df.groupby("k").applyInArrow(arrow_func, schema="x long, y
long")
In [5]: df2.show()
24/12/04 17:47:43 WARN CheckAllocator: More than one
DefaultAllocationManager on classpath. Choosing first found
+---+---+
| x| y|
+---+---+
| 2| 2|
+---+---+
In [6]: df2.join(df2)
...
Failure when resolving conflicting references in Join:
'Join Inner
:- FlatMapGroupsInArrow [k#0L], arrow_func(k#0L, v#1L)#2, [x#3L, y#4L]
: +- Project [k#0L, k#0L, v#1L]
: +- LogicalRDD [k#0L, v#1L], false
+- FlatMapGroupsInArrow [k#12L], arrow_func(k#12L, v#13L)#2, [x#3L, y#4L]
+- Project [k#12L, k#12L, v#13L]
+- LogicalRDD [k#12L, v#13L], false
Conflicting attributes: "x", "y". SQLSTATE: XX000
at
org.apache.spark.SparkException$.internalError(SparkException.scala:92)
at
org.apache.spark.SparkException$.internalError(SparkException.scala:79)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2(CheckAnalysis.scala:798)
```
after:
```
In [6]: df2.join(df2)
Out[6]: DataFrame[x: bigint, y: bigint, x: bigint, y: bigint]
In [7]: df2.join(df2).show()
+---+---+---+---+
| x| y| x| y|
+---+---+---+---+
| 2| 2| 2| 2|
+---+---+---+---+
```
### Does this PR introduce _any_ user-facing change?
bug fix
### How was this patch tested?
added tests
### Was this patch authored or co-authored using generative AI tooling?
no
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