arrow-julia
go-py-arrow-bridge
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| arrow-julia | go-py-arrow-bridge | |
|---|---|---|
| 4 | 1 | |
| 277 | 18 | |
| 1.8% | - | |
| 6.2 | 0.0 | |
| 16 days ago | almost 5 years ago | |
| Julia | Go | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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arrow-julia
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Julia 1.8 has been released
For some examples of people porting existing C++ Fortran libraries to julia, you should check out https://github.com/JuliaLinearAlgebra/Octavian.jl, https://github.com/dgleich/GenericArpack.jl, https://github.com/apache/arrow-julia (just off the top of my head). These are all ports of C++ or Fortran libraries that match (or exceed) performance of the original, and in the case of Arrow.jl is faster, more general, and 10x less code.
- How to adapt Arrow.Table columns (naturally per record batch basis) into CuArrays for GPU processing?
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Reading HDF5 Files
I guess current preferred format not feather, but arrow: https://github.com/JuliaData/Arrow.jl
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Apache Arrow 3.0.0 Release
Excited to see this release's official inclusion of the pure Julia Arrow implementation [1]!
It's so cool to be able mmap Arrow memory and natively manipulate it from within Julia with virtually no performance overhead. Since the Julia compiler can specialize on the layout of Arrow-backed types at runtime (just as it can with any other type), the notion of needing to build/work with a separate "compiler for fast UDFs" is rendered obsolete.
It feels pretty magical when two tools like this compose so well without either being designed with the other in mind - a testament to the thoughtful design of both :) mad props to Jacob Quinn for spearheading the effort to revive/restart Arrow.jl and get the package into this release.
[1] https://github.com/JuliaData/Arrow.jl
go-py-arrow-bridge
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Apache Arrow 3.0.0 Release
Not only in between processes, but also in between languages in a single process. In this POC I spun up a Python interpreter in Go and can pass the Arrow data buffer between processes in constant time. https://github.com/nickpoorman/go-py-arrow-bridge
What are some alternatives?
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
arquero - Query processing and transformation of array-backed data tables.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
vega-loader-arrow - Data loader for the Apache Arrow format.
cylon - Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
TableIO.jl - A glue package for reading and writing tabular data. It aims to provide a uniform api for reading and writing tabular data from and to multiple sources.