[Diff since v2.4.3](https://github.com/apache/arrow-julia/compare/v2.4.3...v2.5.0)

**Closed issues:**
- How to represent customize type field in schema (#383)
- Making Custom types documentation example work (#386)
- Tag release (#387)

**Merged pull requests:**
- Revert "Tag new version dev/release/release.sh (#381)" (#388) (@kou)
- fix arrowname and arrowmetadata for nullable types (#389) (@baumgold)
- add IPv4/IPv6 support to ArrowTypes (#390) (@baumgold)
- define eltype for Stream (#394) (@baumgold)
- Implement Tables.columnnames and Tables.schema for Arrow.Stream (#395) (@baumgold)
- Bump Arrow version to 2.5.0 (#406) (@baumgold)
Bump Arrow version to 2.5.0 (#406)

1 file changed
tree: 551fd7902ebdac5e346500d9a7a6afb3f3502c83
  1. .github/
  2. dev/
  3. docs/
  4. src/
  5. test/
  6. .asf.yaml
  7. .gitignore
  8. codecov.yaml
  9. LICENSE
  10. Project.toml
  11. README.md
README.md

Arrow

docs CI codecov

deps version pkgeval

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.

Installation

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")

Local Development

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")'

Format Support

This implementation supports the 1.0 version of the specification, including support for:

  • All primitive data types
  • All nested data types
  • Dictionary encodings and messages
  • Extension types
  • Streaming, file, record batch, and replacement and isdelta dictionary messages

It currently doesn't include support for:

  • Tensors or sparse tensors
  • Flight RPC
  • C data interface

Third-party data formats:

See the full documentation for details on reading and writing arrow data.