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apache / arrow / 9feb01ad8ba817b02cd6e34e3cb0604f8daa332d
commit9feb01ad8ba817b02cd6e34e3cb0604f8daa332d[log] [tgz]
authorKouhei Sutou <kou@clear-code.com>Thu Mar 21 14:35:59 2019 +0100
committerKrisztián Szűcs <szucs.krisztian@gmail.com>Thu Mar 21 14:35:59 2019 +0100
tree8d95e57bf3183057dc78c2e1a2000eafe4e61e6c
parentf2a2505a5a48951400f06ce03c4508e310d24faf [diff]
ARROW-4978: [Ruby] Fix wrong internal variable name for table data

Author: Kouhei Sutou <kou@clear-code.com>

Closes #3995 from kou/ruby-table-fix-wrong-variable-name and squashes the following commits:

50356f00 <Kouhei Sutou>  Fix wrong variable name
1 file changed
tree: 8d95e57bf3183057dc78c2e1a2000eafe4e61e6c
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README.md

Apache Arrow

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Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain a number of distinct software components:

  • Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
  • Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
  • Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
  • IO interfaces to local and remote filesystems
  • Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
  • Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
  • Conversions to and from other in-memory data structures

How to Contribute

Please read our latest project contribution guide.

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: