| commit | 9385a9129b669ebeea1c69eaf40825bab2228719 | [log] [tgz] |
|---|---|---|
| author | Jacob Quinn <quinn.jacobd@gmail.com> | Thu May 25 15:45:00 2023 -0600 |
| committer | GitHub <noreply@github.com> | Thu May 25 15:45:00 2023 -0600 |
| tree | 0a54e37b1843e335f0ec4ed31ea32a959381f585 | |
| parent | 94f7e37f637878c9850ebe345664011a636e3ecb [diff] |
Add Tables.partitions definition for Arrow.Table (#443) We had this functionality w/ `Arrow.Stream`, but it's convenient and not that expensive to define it for `Arrow.Table` as well. Fixes #293.
This is a pure Julia implementation of the Apache Arrow data standard. This package provides Julia AbstractVector objects for referencing data that conforms to the Arrow standard. This allows users to seamlessly interface Arrow formatted data with a great deal of existing Julia code.
Please see this document for a description of the Arrow memory layout.
The package can be installed by typing in the following in a Julia REPL:
julia> using Pkg; Pkg.add("Arrow")
or to use the official-apache code that follows the official apache release process, you can do:
julia> using Pkg; Pkg.add(url="https://github.com/apache/arrow", subdir="julia/Arrow.jl")
When developing on Arrow.jl it is recommended that you run the following to ensure that any changes to ArrowTypes.jl are immediately available to Arrow.jl without requiring a release:
julia --project -e 'using Pkg; Pkg.develop(path="src/ArrowTypes")'
This implementation supports the 1.0 version of the specification, including support for:
It currently doesn't include support for:
Third-party data formats:
See the full documentation for details on reading and writing arrow data.