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apache / arrow / 0095c4e7a151c79a50255e190ddbc44c7f307510
commit0095c4e7a151c79a50255e190ddbc44c7f307510[log] [tgz]
authorlmeyerov <lmeyerov@gmail.com>Tue Dec 12 15:08:14 2017 -0500
committerWes McKinney <wes.mckinney@twosigma.com>Tue Dec 12 15:08:14 2017 -0500
tree63a0af60be5c188616fa99ea891bdf6caf5697ec
parent6a7ce328d585fb77121dc09bc55928ca6a0ce69d [diff]
ARROW-1911: [JS] Add Graphistry to Arrow JS proof points

Realized Graphistry's use wasn't listed, which matters as we're the most enterprise-y user right now.

Also made the GOAI reference more clear.

Author: lmeyerov <lmeyerov@gmail.com>

Closes #1412 from lmeyerov/patch-1 and squashes the following commits:

ff5f7375 [lmeyerov] fix(more precise description)
1fe8dad2 [lmeyerov] docs(fix backlink information architecture)
3a80c4d8 [lmeyerov] docs(tweak js readme)
d78f414c [lmeyerov] docs(normalize and sort implementation order)
4968dc93 [lmeyerov] docs(graphistry and goai in main powered by)
af8c0383 [lmeyerov] docs(include JS impl in main readme.md list)
e70e534d [lmeyerov] docs(add getting involved to develop.md)
a7e8d017 [lmeyerov] docs(add and cleanup orgs)
29629260 [lmeyerov] [JS] Add Graphistry to Arrow JS projects
4 files changed
tree: 63a0af60be5c188616fa99ea891bdf6caf5697ec
  1. .github/
  2. c_glib/
  3. ci/
  4. cpp/
  5. dev/
  6. format/
  7. integration/
  8. java/
  9. js/
  10. python/
  11. site/
  12. .gitignore
  13. .readthedocs.yml
  14. .travis.yml
  15. appveyor.yml
  16. CHANGELOG.md
  17. header
  18. LICENSE.txt
  19. NOTICE.txt
  20. README.md
README.md

Apache Arrow

Powering Columnar In-Memory Analytics

Arrow is a set of technologies that enable big-data systems to process and move data fast.

Initial implementations include:

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

What's in the Arrow libraries?

The reference Arrow implementations 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
  • Low-overhead IO interfaces to files on disk, HDFS (C++ only)
  • 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 (e.g. Python's pandas library)

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:

How to Contribute

We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the github.com/apache/arrow repository.

If you are looking for some ideas on what to contribute, check out the JIRA issues for the Apache Arrow project. Comment on the issue and/or contact dev@arrow.apache.org with your questions and ideas.

If you’d like to report a bug but don’t have time to fix it, you can still post it on JIRA, or email the mailing list dev@arrow.apache.org

To contribute a patch:

  1. Break your work into small, single-purpose patches if possible. It’s much harder to merge in a large change with a lot of disjoint features.
  2. Create a JIRA for your patch on the Arrow Project JIRA.
  3. Submit the patch as a GitHub pull request against the master branch. For a tutorial, see the GitHub guides on forking a repo and sending a pull request. Prefix your pull request name with the JIRA name (ex: https://github.com/apache/arrow/pull/240).
  4. Make sure that your code passes the unit tests. You can find instructions how to run the unit tests for each Arrow component in its respective README file.
  5. Add new unit tests for your code.

Thank you in advance for your contributions!