feat(spark): implement Spark try_sum function (#18569)

## Which issue does this PR close?

part of #15914

## Rationale for this change

Migrate spark functions from https://github.com/lakehq/sail/ to
datafusion engine to unify codebase

## What changes are included in this PR?

implement spark udaf try_sum
https://spark.apache.org/docs/latest/api/sql/index.html#try_sum

## Are these changes tested?

unit-tests and sqllogictests added

## Are there any user-facing changes?

now can be called in queries

Author: davidlghellin

datafusion/spark/src/function/aggregate/mod.rs

@@ -19,17 +19,27 @@ use datafusion_expr::AggregateUDF;
 use std::sync::Arc;
 
 pub mod avg;
+pub mod try_sum;
+
 pub mod expr_fn {
     use datafusion_functions::export_functions;
 
     export_functions!((avg, "Returns the average value of a given column", arg1));
+    export_functions!((
+        try_sum,
+        "Returns the sum of values for a column, or NULL if overflow occurs",
+        arg1
+    ));
 }
 
 // TODO: try use something like datafusion_functions_aggregate::create_func!()
 pub fn avg() -> Arc<AggregateUDF> {
     Arc::new(AggregateUDF::new_from_impl(avg::SparkAvg::new()))
 }
+pub fn try_sum() -> Arc<AggregateUDF> {
+    Arc::new(AggregateUDF::new_from_impl(try_sum::SparkTrySum::new()))
+}
 
 pub fn functions() -> Vec<Arc<AggregateUDF>> {
-    vec![avg()]
+    vec![avg(), try_sum()]
 }