Moelf commented on issue #458:
URL: https://github.com/apache/arrow-julia/issues/458#issuecomment-1581443536
yeah ok this seems super broken now @quinnj
```julia
julia> df = DataFrame(; vector_vector_int)
5×1 DataFrame
Row │ vector_vector_int
│ Array…
─────┼───────────────────────────
1 │ [[1]]
2 │ [[1], [2]]
3 │ [[1], [2], [3]]
4 │ [[1], [2], [3], [4]]
5 │ [[1], [2], [3], [4], [5]]
julia> Arrow.write(path, df)
"/tmp/jl_i5KrCRaB6b"
julia> DataFrame(Arrow.Table(path))
Error showing value of type DataFrame:
ERROR: MethodError: no method matching SubArray{Vector{Int64}, 1,
Arrow.List{SubArray{Int64, 1, Arrow.Primitive{Int64, Vector{Int64}},
Tuple{UnitRange{Int64}}, true}, Int32, Arrow.Primitive{Int64, Vector{Int64}}},
Tuple{UnitRange{Int64}}, true}(::SubArray{SubArray{Int64, 1,
Arrow.Primitive{Int64, Vector{Int64}}, Tuple{UnitRange{Int64}}, true}, 1,
Arrow.List{SubArray{Int64, 1, Arrow.Primitive{Int64, Vector{Int64}},
Tuple{UnitRange{Int64}}, true}, Int32, Arrow.Primitive{Int64, Vector{Int64}}},
Tuple{UnitRange{Int64}}, true})
Closest candidates are:
SubArray{T, N, P, I, L}(::Any, ::Any, ::Any, ::Any) where {T, N, P, I, L}
@ Base subarray.jl:19
```
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