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apache / arrow-julia / refs/tags/v1.1.0
taga0015681961b1091ccfdadf94d8745b8b55082bb
taggergithub-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>Wed Jan 06 05:06:18 2021 +0000
objectdc559c180c198650c99ab9d1cfc7b0766902c7f5 
## Arrow v1.1.0

[Diff since v1.0.3](https://github.com/JuliaData/Arrow.jl/compare/v1.0.3...v1.1.0)


**Closed issues:**
- memory leaking when reading compressed arrow files (#80)
- writing column with missing / struct data errors (#84)
- downstream packages need to put `Arrow.ArrowTypes.registertype!` statements in `__init__` (#87)

**Merged pull requests:**
- Support new Decimal256 type (#79) (@quinnj)
- fix typo (#83) (@ericphanson)
- add `ArrowTypes.default` methods and tests for dates (#86) (@ericphanson)
- add default UUID <-> UInt128 Arrow type mapping (#89) (@jrevels)
- bump Project.toml to v1.1.0 (#94) (@jrevels)
- Add warning for `Arrow.ArrowTypes.registertype!` (#96) (@ericphanson)
- Fix `deploydocs` (#97) (@ericphanson)
- convert Arrow-flavored eltypes to Julia-flavored eltypes on copy (#98) (@jrevels)
- Fix copy on DictEncoding arrays with missing values (#99) (@quinnj)
- Add BitIntegers compat (#100) (@quinnj)
commitdc559c180c198650c99ab9d1cfc7b0766902c7f5[log] [tgz]
authorJacob Quinn <quinn.jacobd@gmail.com>Tue Jan 05 21:40:57 2021 -0700
committerGitHub <noreply@github.com>Tue Jan 05 21:40:57 2021 -0700
treeac4a1474b766caedc5a23db8fc2ebea00ef09dcc
parent0ab7d0c5d9d7dd1d592e7861efc81a2d16030efb [diff]
Add BitIntegers compat (#100)
1 file changed
tree: ac4a1474b766caedc5a23db8fc2ebea00ef09dcc
  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.