ueshin opened a new pull request, #49327:
URL: https://github.com/apache/spark/pull/49327
### What changes were proposed in this pull request?
Fixes `SparkConnectPlanner` to analyze the inputs for `TypedScalaUdf`.
### Why are the changes needed?
The inputs for `TypedScalaUdf` should be analyzed.
For example:
```scala
val df = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDF("c1",
"c2")
df.select("*").filter(r => r.getInt(1) > 5)
```
fails with:
```
org.apache.spark.SparkException: [INTERNAL_ERROR] Invalid call to
toAttribute on unresolved object SQLSTATE: XX000
at
org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:438)
at
org.apache.spark.sql.catalyst.plans.logical.Project.$anonfun$output$1(basicLogicalOperators.scala:74)
at scala.collection.immutable.List.map(List.scala:247)
at scala.collection.immutable.List.map(List.scala:79)
at
org.apache.spark.sql.catalyst.plans.logical.Project.output(basicLogicalOperators.scala:74)
at
org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformTypedFilter(SparkConnectPlanner.scala:1460)
at
org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformFilter(SparkConnectPlanner.scala:1437)
...
```
### Does this PR introduce _any_ user-facing change?
The failure will not appear.
### How was this patch tested?
Added the related tests.
### Was this patch authored or co-authored using generative AI tooling?
No.
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