zhengruifeng opened a new pull request, #44177:
URL: https://github.com/apache/spark/pull/44177
### What changes were proposed in this pull request?
Make `DataFrame.withColumnsRenamed` respect the dict ordering
### Why are the changes needed?
the ordering in `withColumnsRenamed` matters
scala
```
scala> val df = spark.range(1000)
val df: org.apache.spark.sql.Dataset[Long] = [id: bigint]
scala> df.withColumnsRenamed(Map("id" -> "a", "a" -> "b"))
val res0: org.apache.spark.sql.DataFrame = [b: bigint]
scala> df.withColumnsRenamed(Map("a" -> "b", "id" -> "a"))
val res1: org.apache.spark.sql.DataFrame = [a: bigint]
```
### Does this PR introduce _any_ user-facing change?
yes
before this PR
```
In [1]: df = spark.range(10)
In [2]: df.withColumnsRenamed({"id": "a", "a": "b"})
Out[2]: DataFrame[a: bigint]
In [3]: df.withColumnsRenamed({"a": "b", "id": "a"})
Out[3]: DataFrame[a: bigint]
```
after this PR
```
In [1]: df = spark.range(10)
In [2]: df.withColumnsRenamed({"id": "a", "a": "b"})
Out[2]: DataFrame[b: bigint]
In [3]: df.withColumnsRenamed({"a": "b", "id": "a"})
Out[3]: DataFrame[a: bigint]
```
### How was this patch tested?
added ut
### Was this patch authored or co-authored using generative AI tooling?
no
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