goldmedal opened a new pull request, #14837:
URL: https://github.com/apache/datafusion/pull/14837

   ## Which issue does this PR close?
   
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   - Closes #6518.
   
   ## Rationale for this change
   I have been working with @alamb to implement the functional for the async 
UDF. 
   - https://github.com/goldmedal/datafusion-llm-function/pull/1
   
   It introduces the following trait:
   ```rust
   #[async_trait]
   pub trait AsyncScalarUDFImpl: Debug + Send + Sync {
       /// the function cast as any
       fn as_any(&self) -> &dyn Any;
   
       /// The name of the function
       fn name(&self) -> &str;
   
       /// The signature of the function
       fn signature(&self) -> &Signature;
   
       /// The return type of the function
       fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType>;
   
       /// The ideal batch size for this function.
       ///
       /// This is used to determine what size of data to be evaluated at once.
       /// If None, the whole batch will be evaluated at once.
       fn ideal_batch_size(&self) -> Option<usize> {
           None
       }
   
       /// Invoke the function asynchronously with the async arguments
       async fn invoke_async_with_args(
           &self,
           args: AsyncScalarFunctionArgs,
           option: &ConfigOptions,
       ) -> Result<ArrayRef>;
   }
   ```
   
   It allows the user to implement the UDF for invoking some external remote 
function in the query.
   Given an async udf `async_equal`, the plan would look like:
   ```
   > explain select async_equal(a.id, 1) from animal a
   
+---------------+----------------------------------------------------------------------------------------+
   | plan_type     | plan                                                       
                            |
   
+---------------+----------------------------------------------------------------------------------------+
   | logical_plan  | Projection: async_equal(a.id, Int64(1))                    
                            |
   |               |   SubqueryAlias: a                                         
                            |
   |               |     TableScan: animal projection=[id]                      
                            |
   | physical_plan | ProjectionExec: expr=[__async_fn_0@1 as 
async_equal(a.id,Int64(1))]                    |
   |               |   AsyncFuncExec: async_expr=[async_expr(name=__async_fn_0, 
expr=async_equal(id@0, 1))] |
   |               |     CoalesceBatchesExec: target_batch_size=8192            
                            |
   |               |       DataSourceExec: partitions=1, partition_sizes=[1]    
                            |
   |               |                                                            
                            |
   
+---------------+----------------------------------------------------------------------------------------+
   
   ```
   To reduce the number of invoking the async function, 
`CoalesceAsyncExecInput` rule is used for coalescing the input batch of 
`AsyncFuncExec`.
   
   
   See the details usages in the example.
   
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   ## What changes are included in this PR?
   ### Remaining Work
   - [x] Support for ProjectExec
   - [x] Support for FilterExec
   - [ ] Support for Join Expression
   
   ### Maybe implement in the follow-up PR
   - [ ] Async aggregation function
   - [ ] Async window function
   - [ ] Async table function (?
   
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   ## Are these changes tested?
   
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   ## Are there any user-facing changes?
   
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