Github user cramja commented on the issue:
    @navsan love the comments, very thorough.
    I updated the header of this PR to include benchmarks/testing info and will 
keep this in mind in the future.
    **Changes queued for this PR**
    * getting rid of TypedValue
    * moving some of the computations out of the inner loop and keeping a 
leaner set of running state variables
    * moving to a per-column info struct rather than a number of bitvectors and 
    I'm going to address these in an addendum commit. I think your suggestions 
are great.
    **Different PR**
    * getting rid of occupancy_bitmap_
    * moving the null_bitmap into the header as a single bitmap for the entire 
tuple storage subblock.
    I think these are valid issues (comments above for specifics) but that they 
can be the subject of another commit/PR in the pursuit of more concise PRs.
    **Another PR**
    > Can you coalesce writes for contiguous columns in input/output? This 
helps speed up the common case of materialized join results where (almost) 
everything gets copied out anyway.
    > Can you also add support for partialBulkInsert functions? See the commits 
in my branch for reference. It'll help us improve the join result 
materialization cost, as well as a few other operations.
    Both these points can be addressed but in a separate PR. 

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