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{{Infobox software
| name = Apache Arrow
| logo =
| developer = [[Apache軟體基金會]]
| released = {{Start date and age|2016|10|10}}
| programming language = [[C語言|C]], [[C++]], [[C Sharp (programming language)|C#]], [[Go語言|Go]], [[Java]], [[JavaScript]], [[MATLAB]], [[Python]], [[R語言]], [[Ruby]], [[Rust (编程语言)|Rust]]
| genre = [[數據格式]], [[演算法]]
| license = [[Apache許可證]] 2.0
| repo = https://github.com/apache/arrow
| website = {{URL|https://arrow.apache.org}}
}}

'''Apache Arrow''' 是一種與{{le|語言無關|Language-agnostic}}的[[軟體框架]]，用於開發處理[[列式数据库|欄式資料庫]]的數據分析應用程序。Apache Arrow包含一個標準化的物件欄內存格式，且能夠表示[[平面文件数据库|平面]]及[[层次模型|層級化數據]]，以便在現代[[CPU]]和[[GPU]]硬體上進行高效率的分析操作。<ref name="xenonstack">{{Cite web|url=https://www.xenonstack.com/insights/what-is-apache-arrow/|title=Apache Arrow and Distributed Compute with Kubernetes|access-date=2018-12-13|archive-date=2021-12-07|archive-url=https://web.archive.org/web/20211207122903/https://www.xenonstack.com/insights/what-is-apache-arrow}}</ref><ref name="seekingalpha">{{Cite web|url=https://seekingalpha.com/article/3904056-apache-arrow-lining-up-ducks-in-row-column|title=Apache Arrow: Lining Up The Ducks In A Row... Or Column|first1=Tony|last1=Baer|website=[[Seeking Alpha]]|access-date=2016-02-17|archive-date=2021-12-07|archive-url=https://web.archive.org/web/20211207124518/https://seekingalpha.com/article/3904056-apache-arrow-lining-up-ducks-in-row-column}}</ref><ref name="zdnet">{{Cite web|url=https://www.zdnet.com/article/apache-arrow-the-little-data-accelerator-that-could/|title=Apache Arrow: The little data accelerator that could|access-date=2019-02-25|first1=Tony|last1=Baer|website=[[ZDNet]]|archive-date=2021-12-07|archive-url=https://web.archive.org/web/20211207121829/https://www.zdnet.com/article/apache-arrow-the-little-data-accelerator-that-could/}}</ref><ref>{{Cite web|url=https://thenewstack.io/apache-arrow-designed-accelerate-hadoop-spark-columnar-layouts-data/|title=Apache Arrow's Columnar Layouts of Data Could Accelerate Hadoop, Spark|access-date=2016-02-23|website=[[The New Stack]]|first1=Susan|last1=Hall|archive-date=2021-12-07|archive-url=https://web.archive.org/web/20211207124407/https://thenewstack.io/apache-arrow-designed-accelerate-hadoop-spark-columnar-layouts-data/}}</ref><ref name="infoworld">{{cite web|url=https://www.infoworld.com/article/3033446/hadoop/apache-arrow-aims-to-speed-access-to-big-data.html|title=Apache Arrow aims to speed access to big data|last=Yegulalp|first=Serdar|access-date=2016-02-27|work=[[InfoWorld]]|archive-date=2016-08-19|archive-url=https://web.archive.org/web/20160819134442/http://www.infoworld.com/article/3033446/hadoop/apache-arrow-aims-to-speed-access-to-big-data.html}}</ref>這種功能反而會減少或則消除限制使用[[大數據|大型數據集]]的可行性因素，比如[[動態隨機存取存儲器]]的成本、易變性或則物理性的約束。<ref name="biorxiv">{{Cite journal|author=Tanveer Ahmad|year=2019|title=ArrowSAM: In-Memory Genomics Data Processing through Apache Arrow Framework|url=https://www.biorxiv.org/content/10.1101/741843v1|journal=[[bioRxiv]]|pages=741843|doi=10.1101/741843|doi-access=free|access-date=2021-12-07|archive-date=2021-12-07|archive-url=https://web.archive.org/web/20211207125511/https://www.biorxiv.org/content/10.1101/741843v1}}</ref>

==註釋==

{{reflist|2}}

==參閱==
*{{le|屬性值系統|Attribute-value system}}
*{{le|語言無關|Language-agnostic}}

==外部連結==
* [https://arrow.apache.org Apache Arrow] {{Wayback|url=https://arrow.apache.org/ |date=20220506073524 }} project web site
* [https://github.com/apache/arrow Apache Arrow GitHub] {{Wayback|url=https://github.com/apache/arrow |date=20220503152749 }} project source code
{{-}}
{{Apache Software Foundation|state=collapsed}}

[[Category:Apache软件基金会]]
[[Category:Apache软件基金会项目]]
[[Category:軟體框架]]

Apache Arrow - 版本历史

imported>Yumeto：​使用DisamAssist清理消歧義連結：Go（改連結至Go語言）。

imported>Yumeto：使用DisamAssist清理消歧義連結：Go（改連結至Go語言）。