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apache / arrow-julia / 0ab7d0c5d9d7dd1d592e7861efc81a2d16030efb
commit0ab7d0c5d9d7dd1d592e7861efc81a2d16030efb[log] [tgz]
authorJarrett Revels <jarrettrevels@gmail.com>Tue Jan 05 18:59:32 2021 -0500
committerGitHub <noreply@github.com>Tue Jan 05 16:59:32 2021 -0700
treeaf41fa66bc9cccbe7e75dd08a1a530aac475de98
parent4c6f576f4829168b34f53c65cbf1120858cf1755 [diff]
bump Project.toml to v1.1.0 (#94)
1 file changed
tree: af41fa66bc9cccbe7e75dd08a1a530aac475de98
  1. .github/
  2. docs/
  3. src/
  4. test/
  5. .gitignore
  6. .travis.yml
  7. LICENSE.md
  8. Project.toml
  9. README.md
README.md

Arrow

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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.

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:

  • csv and parquet support via the existing CSV.jl and Parquet.jl packages
  • Other Tables.jl-compatible packages automatically supported (DataFrames.jl, JSONTables.jl, JuliaDB.jl, SQLite.jl, MySQL.jl, JDBC.jl, ODBC.jl, XLSX.jl, etc.)
  • No current Julia packages support ORC or Avro data formats

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