ApacheArrow

@ApacheArrow

Columnar In-Memory Analytics

Cacheland
arrow.apache.org
Připojil se únor 2016
3 fotky nebo videa Fotky a videa

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  1. 29. 7.

    We've made big investments to improve our C++ builds to be simpler and faster, have fewer dependencies (including a zero-dependency build option), and be more configurable to suit the needs of a wide spectrum of downstream users. Read more about it:

    10 retweetů 45lajků
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  2. Retweetnuto uživatelem
    28. 7.

    A little {} test since they just had a 1.0 release! A filtered summary from 328 MILLION observations in about... 100 ms! All years summarized in about 500 ms! Code: Arrow Site:

    Code for arrow summary: https://gist.github.com/jthomasmock/b8a1c6e90a199cf72c6c888bd899e84e
    Code for this arrow summay: https://gist.github.com/jthomasmock/b8a1c6e90a199cf72c6c888bd899e84e
    19 replies 60 retweetů 356lajků
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  3. 27. 7.

    We just released 1.0.0, the first formally "stable columnar format" release with a move to SemVer for the libraries. We have a much improved website, too. Read more about what's new

    1 reply 162 retweetů 425lajků
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  4. 14. 6.

    We've just made some changes to e-mail lists: * dev@arrow.apache.org gets non-JIRA development e-mails * issues@ gets NEW ISSUE JIRA mails * jira@ gets the full firehose of JIRA updates Consider subscribing to both dev@ and issues@ to stay fully in the loop.

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  5. 11. 6.

    We've just welcomed Ji Liu and Liya Fan from as committers! Thank you for all your contributions.

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  6. Retweetnuto uživatelem
    5. 6.

    We've addressed a number of issues with the Python wheels and thus they'll be 75% smaller in the next major release. An optional component requiring the LLVM runtime will likely be shipped in a separate wheel in the future

    26 retweetů 150lajků
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  7. 4. 5.

    This was inspired by the CPython Buffer Protocol and was designed by Arrow PMC member and CPython core developer Antoine Pitrou

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  8. 4. 5.

    In 0.17.0 we have a new C Data Interface enabling zero-copy in-memory sharing of Arrow data via C FFI. It's a game changer for adding Arrow import/export to libraries without requiring any build or runtime dependencies. Read more:

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  9. 23. 4.

    We've just released 0.17.0 covering 10 weeks of dev work: 569 issues closed from 79 unique contributors. Lots of new stuff and many bug fixes, recommended upgrade for all users

    1 reply 26 retweetů 53lajků
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  10. Retweetnuto uživatelem
    2. 4.

    New Blog Post: How we enabled to create pandas DataFrame objects faster than pandas itself (sometimes)

    41 retweetů 197lajků
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  11. Retweetnuto uživatelem
    9. 4.

    Go faster button enabled! Connector for Version 2.6 Turbocharges Reads with ❄️

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  12. 13. 2.

    The 0.16.0 release of will be the last one to support Python 2.7. The Python 2.x language has served us well for nearly 20 years but it is time to say goodbye

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  13. 12. 2.

    We have released 0.16.0 with 735 issues resolved from 99 contributors. Read more about what's new since the last major release in October '19

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  14. Retweetnuto uživatelem
    10. 12. 2019

    明日の夜はApache Arrow東京ミートアップ2019だよ！ Apache Arrow 1.0.0がそろそろ出そうだからそろそろ使い始めたほうがいいんじゃないかな！私はApache Arrowのことを知らない人向けに最新情報を紹介するよ！

    8 retweetů 15lajků
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  15. 9. 12. 2019

    We now have Python 3.8 wheel support out of git master in , will be available from PyPI in next major release

    4 retweety 18lajků
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  16. 5. 11. 2019

    This week we made a patch release 0.15.1 of containing over 30 critical bug fixes. Recommended upgrade for all users

    17 retweetů 35lajků
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  17. Retweetnuto uživatelem
    5. 11. 2019

    This afternoon NYC 2019 (3:45 PM ET), Senior Software Engineer will demonstrate how to use 🐍 and in order to quickly read esoteric into so it can be analyzed elegantly

    3 retweety 8lajků
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  18. 17. 10. 2019

    We noticed a deployment hiccup where JS 0.15.0 didn't 100% make its way into NPM. We're working on fixing

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  19. 15. 10. 2019

    Do you have the need for speed? Learn more about Flight, our new framework for fast data transport

    1 reply 33 retweetů 102lajků
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  20. 7. 10. 2019

    If you are using + together, please be sure to read the release notes for 0.15.0, since you must take some actions to be able to use pyarrow==0.15.0 with Spark pinned to an older Java library

    7 retweetů 15lajků
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