baumgold commented on PR #456:
URL: https://github.com/apache/arrow-julia/pull/456#issuecomment-1581674295
I was able to reproduce this with the following:
```julia
julia> NT = @NamedTuple{x::Int, y::Union{Missing,Int}};
julia> data = NT[(x=1,y=2), (x=2,y=missing), (x=3,y=4), (x=4,y=5)];
julia> t = [(a=1,b=view(data,1:2)), (a=2,b=view(data,3:4)), missing];
julia> Arrow.toarrowvector(t);
ERROR: MethodError: no method matching SubArray{NamedTuple{(:x, :y),
Tuple{Int64, Union{Missing, Int64}}}, 1, Vector{NamedTuple{(:x, :y),
Tuple{Int64, Union{Missing, Int64}}}}, Tuple{UnitRange{Int64}},
true}(::UndefInitializer, ::Tuple{Int64})
```
Note after I added the suggested solution from this PR, I now get the error
in #458:
```julia
julia> Arrow.ArrowTypes.default(::Type{SubArray{T,N,P,I,L}}) where
{T,N,P,I,L} = Arrow.ArrowTypes.default(P);
julia> Arrow.toarrowvector(t);
ERROR: MethodError: Cannot `convert` an object of type
Vector{NamedTuple{(:x, :y), Tuple{Int64, Union{Missing, Int64}}}} to an object
of type SubArray{NamedTuple{(:x, :y), Tuple{Int64, Union{Missing, Int64}}}, 1,
Vector{NamedTuple{(:x, :y), Tuple{Int64, Union{Missing, Int64}}}},
Tuple{UnitRange{Int64}}, true}
```
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