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[EPIC] Optimize the coalesece kernel (BatchCoalescer) #7761

@alamb

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@alamb

Is your feature request related to a problem or challenge? Please describe what you are trying to do.

This ticket trans improvements to the BatchCoalescer for the usecase described in #6692

That is


┌────────────────────┐        Filter                                                                          
│                    │                    ┌────────────────────┐            Coalesce                          
│                    │    ─ ─ ─ ─ ─ ─ ▶   │    RecordBatch     │             Batches                          
│    RecordBatch     │                    │   num_rows = 234   │─ ─ ─ ─ ─ ┐                                   
│  num_rows = 8000   │                    └────────────────────┘                                              
│                    │                                                    │                                   
│                    │                                                                ┌────────────────────┐  
└────────────────────┘                                                    │           │                    │  
┌────────────────────┐                    ┌────────────────────┐                      │                    │  
│                    │        Filter      │                    │          │           │                    │  
│                    │                    │    RecordBatch     │           ─ ─ ─ ─ ─ ▶│                    │  
│    RecordBatch     │    ─ ─ ─ ─ ─ ─ ▶   │   num_rows = 500   │─ ─ ─ ─ ─ ┐           │                    │  
│  num_rows = 8000   │                    │                    │                      │    RecordBatch     │  
│                    │                    │                    │          └ ─ ─ ─ ─ ─▶│  num_rows = 8000   │  
│                    │                    └────────────────────┘                      │                    │  
└────────────────────┘                                                                │                    │  
                                                    ...                    ─ ─ ─ ─ ─ ▶│                    │  
          ...                   ...                                       │           │                    │  
                                                                                      │                    │  
┌────────────────────┐                                                    │           └────────────────────┘  
│                    │                    ┌────────────────────┐                                              
│                    │       Filter       │                    │          │                                   
│    RecordBatch     │                    │    RecordBatch     │                                              
│  num_rows = 8000   │   ─ ─ ─ ─ ─ ─ ▶    │   num_rows = 333   │─ ─ ─ ─ ─ ┘                                   
│                    │                    │                    │                                              
│                    │                    └────────────────────┘                                              
└────────────────────┘                                                                                        
                                                                                                              
                      FilterExec                                          RepartitonExec copies the data      
                      creates output batches with copies                  *again* to form final large         
                      of  the matching rows (calls take()                 RecordBatches                       
                      to make a copy)                                                                         
                                                                                                              

This ticket tracks additional follow on work:

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