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I was using the python arrow function record_batch and find that this does not exist in julia, but there is an arrow table function. However they don’t behave the same way.
I have a customer requirement (that I can neither explain nor defend) of using arrow to
make a stream writer and reader of io bytes rather than just use julia bytes
This works using python arrows and batch_record
batch = pa.record_batch([data_in],names=[‘f0’])
My question is, is the problem syntax (typing it wrong) or semantics (just not possible to do because functionality was not ported)?
I was using the python arrow function record_batch and find that this does not exist in julia, but there is an arrow table function. However they don’t behave the same way.
I have a customer requirement (that I can neither explain nor defend) of using arrow to
make a stream writer and reader of io bytes rather than just use julia bytes
This works using python arrows and batch_record
batch = pa.record_batch([data_in],names=[‘f0’])
My question is, is the problem syntax (typing it wrong) or semantics (just not possible to do because functionality was not ported)?
my julia code is as follows:
blksz = (32 * 1024)
A = rand(ComplexF16, blksz)
B = reinterpret(Float16, A)
C = reinterpret(UInt8, B)
tbl = Arrow.Table(C)
→ MethodError: no method matching open(::Base.ReinterpretArray{UInt8, 1, ComplexF16, Vector{ComplexF16}, false}, ::String
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