Implement Apache Arrow methods

[randyzwitch]

Implement remaining load_table methods, with an eye on removing unneeded methods (such as row-wise loading instead of columnar)

load_table_binary(conn::OmniSciConnection, table_name::String, rows::Vector{TRow})

• load_table_binary_columnar(conn::OmniSciConnection, table_name::String, cols::Vector{TColumn})
• load_table_binary_arrow(conn::OmniSciConnection, table_name::String, arrow_stream::Vector{UInt8})
• sql_execute_df
• sql_execute_gdf

[randyzwitch]

Removing load_table_binary from focus, as there is an error that I currently don't understand. It appears that pymapd doesn't implement the method, which might give a good indication its not needed

[randyzwitch]

Remaining method needs Arrow support

[randyzwitch]

This isn't just creating Arrow vectors (from Arrow.jl), but a stream/recordbatch. Might need to use ArrowGlib.jl

[randyzwitch]

WIth JuliaData/FlatBuffers.jl#24, another piece for Arrow support getting closer. With Flatbuffer flatc, should be able to move closer to a native Arrow implementation to read recordbatches