Support for `ScalarSubqueryExec` and `ScalarSubqueryExpr`

PR https://github.com/apache/datafusion/pull/21240 introduced a node to execute subqueries, ScalarSubqueryExec which structure holds a shared state:

pub struct ScalarSubqueryExec {
    ...
    results: ScalarSubqueryResults,

}
pub struct ScalarSubqueryResults {
    slots: Arc<Vec<Mutex<Option<ScalarValue>>>>,
}

where the a given subquery has an index to fill it's corresponding slot at runtime:

pub struct ScalarSubqueryExpr {
   ...
    results: ScalarSubqueryResults,
}

If ScalarSubqueryExec and the node holding the ScalarSubqueryExpr are in different stages, the query fails during deserialization with the following error Internal("ScalarSubqueryExpr can only be deserialized as part of a surrounding ScalarSubqueryExec") . Even if we edited the decoder to create a fresh ScalarSubqueryResults on the worker, the result wouldn't be correct I think, the worker's slots are a different Arc from the coordinator, so the writer would never fill them. This looks like a similar problem to Dynamic Filtering (where the HashJoinExec holds the dynamic filter in a shared Arc with the probe/consumer). Note that DynamicFilterPhysicalExpr does not fail on serialization and we will never see correctness issues since it's an optimization.

For now we will be gating the new node behind a session property https://github.com/apache/datafusion/pull/22530. This change will probably stay to a couple of releases more (until distributed execution engines adapt), so we need to add support for this eventually.

Some raw ideas:

• Implement a communication mechanism that works for both use cases: ScalarSubqueryExec, ScalarSubqueryExpr and DynamicFilterPhysicalExpr.
• Do not have network boundaries between ScalarSubqueryExec and the node containing the ScalarSubqueryExpr.

cc @jayshrivastava @adriangb

Start by tracing serialization and deserialization for ScalarSubqueryExec, ScalarSubqueryExpr, and DynamicFilterPhysicalExpr, focusing on how shared Arc state crosses stages. Compare the existing dynamic-filter situation with the scalar-subquery failure. Done means distributed execution can serialize these nodes without losing the shared results state or producing incorrect query results.