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社区和项目

{% toc %}

译者注: 以下大量的人物名称、会议名称、演讲名称,因属于专用术语,不予翻译。

我们提供多种方式让参与者可以从Apache Flink社区获得帮助。其中,邮件组是当前Flink Committer最主要的沟通方式。如果你想和某个Flink Committer或者用户直接交流,Flink社区提供一个IRC频道可用于沟通。一些Flink Committer同事也活跃在Stack Overflow上面。但记住,在Stack Overflow提交问题时候请务必添加*flink的标签。我们建议在开发邮件组*或者[JIRA]({{ site.jira }})上面讨论有关Bug和Feature的request。最后,所有愿意为Flink贡献的小伙伴们都需要认真阅读贡献指南

邮件组

邮件组名称 订阅 摘要 取消订阅 发送 归档
news@flink.apache.org
Flink社区新闻和公告
订阅 订阅 取消订阅 只读邮件组 查看归档
community@flink.apache.org
社区讨论,包括meetup、大会、博客、招聘
订阅 订阅 取消订阅 发信 查看归档
user@flink.apache.org
用户使用问题讨论
订阅 订阅 取消订阅 发信 查看归档
Nabble 归档
dev@flink.apache.org
开发问题讨论
订阅 订阅 取消订阅 发信 查看归档
Nabble 归档
issues@flink.apache.org
JIRA Issue的镜像
订阅 订阅 取消订阅 只读邮件组 查看归档
commits@flink.apache.org
代码仓库提交的记录
订阅 订阅 取消订阅 只读邮件组 查看归档

IRC频道

在irc.freenode.org有个#flink的频道专门用于讨论问题,同时也有一个Web版本的地址。

IRC上面非常方便社区在线讨论问题,但开发者需要将一些官方的,或者有价值的讨论粘贴到我们的JIRA或者开发邮件组。

StackOverflow问答网站

Flink Committers 一直在关注Stack Overflow上面有关flink的标签。所以请在提问时候务必加上flink的标签。

Issue跟进

Flink社区使用JIRA跟踪所有的代码相关问题 [{{ site.jira }}]({{ site.jira }}).

所有的Issue也会被镜像通知到我们的issue邮件组.

线下Meetups

线下Meetup活动已经举办多次,请参看meetup.com

代码

Git地址

注意,Flink不基于Oracle JDK 6版本编译,但可以运行在Oracle JDK 6之上。

Web地址

培训

dataArtisans 当前负责运营免费的Apache Flink培训,具体参考 training website, 其中包括一些解决方案的Slides和实操。同时,我们把Slides也分享到了SlideShare

项目Wiki

Apache Flink project wiki 为Flink用户提供了大量的资源可供阅读和学习。值得一提的是,有些文档可能已经过时,若有疑问,请参看Flink documentation.

Flink Forward大会

Flink Forward 2015 (在2015年10月12号至13号举办) 是Apache Flink的开发者和用户第一次大会,你可以在slides and videos观看有关这次活动所有的演讲。

第二届 Flink Forward 在2016年9月12号到14号举行,所有的Slides和视频均已提供。

小伙伴

姓名 角色 Apache ID
Márton Balassi PMC, Committer mbalassi
Paris Carbone Committer senorcarbone
Ufuk Celebi PMC, Committer uce
Stephan Ewen PMC, Committer, VP sewen
Gyula Fóra PMC, Committer gyfora
Alan Gates PMC, Committer gates
Greg Hogan PMC, Committer greg
Fabian Hueske PMC, Committer fhueske
Vasia Kalavri PMC, Committer vasia
Kostas Kloudas Committer kkloudas
Aljoscha Krettek PMC, Committer aljoscha
ChengXiang Li Committer chengxiang
Andra Lungu Committer andra
Robert Metzger PMC, Committer rmetzger
Maximilian Michels PMC, Committer mxm
Chiwan Park Committer chiwanpark
Stefan Richter Committer srichter
Till Rohrmann PMC, Committer trohrmann
Henry Saputra PMC, Committer hsaputra
Matthias J. Sax Committer mjsax
Sebastian Schelter PMC, Committer ssc
Tzu-Li (Gordon) Tai Committer tzulitai
Kostas Tzoumas PMC, Committer ktzoumas
Timo Walther PMC, Committer twalthr
Daniel Warneke PMC, Committer warneke
Jark Wu Committer jark
Kurt Young Committer kurt

你可以通过<apache-id>@apache.org直接和上述Committer联系,所有的Flink贡献者参考这里({{ site.FLINK_CONTRIBUTORS_URL }})。

导师

下面的小伙伴们在Flink项目孵化过程中给予我们很多的帮助,对此表示感谢!

姓名 角色 Apache ID
Ashutosh Chauhan Former PPMC, Mentor hashutosh
Ted Dunning Former PPMC, Mentor tdunning
Alan Gates Former PPMC, Mentor gates
Owen O'Malley Former PPMC, Mentor omalley
Sean Owen Former PPMC, Mentor srowen
Henry Saputra Former PPMC, Mentor hsaputra

Slides幻灯片

注意: 在slides中的代码都可能由于Flink快速进化而过时,请访问[最新文档]({{ site.docs-snapshot }})获取最新的Flink资讯。

2016

  • Stefan Richter: A look at Apache Flink 1.2 and beyond Apache Flink Meetup Berlin, November 2016: SlideShare
  • Robert Metzger: Apache Flink Community Updates November 2016 Apache Flink Meetup Berlin, November 2016: SlideShare
  • Aljoscha Krettek: Apache Flink for IoT: How Event-Time Processing Enables Easy and Accurate Analytics Big Data Spain, Madrid November 2016: SlideShare
  • Stephan Ewen: Keynote -The maturing data streaming ecosystem and Apache Flink’s accelerated growth Apache Big Data Europe 2016, Seville November 2016: SlideShare
  • Kostas Tzoumas: Stream Processing with Apache Flink® Apache Flink London Meetup, November 2016: SlideShare
  • Kostas Tzoumas: Apache Flink®: State of the Union and What's Next Strata + Hadoop World New York, September 2016: SlideShare
  • Kostas Tzoumas & Stephan Ewen: Keynote -The maturing data streaming ecosystem and Apache Flink’s accelerated growth Flink Forward, Berlin September 2016: SlideShare
  • Robert Metzger: Connecting Apache Flink to the World - Reviewing the streaming connectors Flink Forward, Berlin September 2016: SlideShare
  • Till Rohrmann & Fabian Hueske: Declarative stream processing with StreamSQL and CEP Flink Forward, Berlin September 2016: SlideShare
  • Jamie Grier: Robust Stream Processing with Apache Flink Flink Forward, Berlin September 2016: SlideShare
  • Jamie Grier: The Stream Processor as a Database- Building Online Applications directly on Streams Flink Forward, Berlin September 2016: SlideShare
  • Till Rohramnn: Dynamic Scaling - How Apache Flink adapts to changing workloads Flink Forward, Berlin September 2016: SlideShare
  • Stephan Ewen: Running Flink Everywhere Flink Forward, Berlin September 2016: SlideShare
  • Stephan Ewen: Scaling Apache Flink to very large State Flink Forward, Berlin September 2016: SlideShare
  • Aljoscha Krettek: The Future of Apache Flink Flink Forward, Berlin September 2016: SlideShare
  • Fabian Hueske: Taking a look under the hood of Apache Flink's relational APIs Flink Forward, Berlin September 2016: SlideShare
  • Kostas Tzoumas: Streaming in the Wild with Apache Flink Hadoop Summit San Jose, June 2016: SlideShare
  • Stephan Ewen: The Stream Processor as the Database - Apache Flink Berlin Buzzwords, June 2016: SlideShare
  • Till Rohrmann & Fabian Hueske: Streaming Analytics & CEP - Two sides of the same coin? Berlin Buzzwords, June 2016: SlideShare
  • Robert Metzger: A Data Streaming Architecture with Apache Flink Berlin Buzzwords, June 2016: SlideShare
  • Stephan Ewen: Continuous Processing with Apache Flink Strata + Hadoop World London, May 2016: SlideShare
  • Stephan Ewen: Streaming Analytics with Apache Flink 1.0 Flink NYC Flink, May 2016: SlideShare
  • Ufuk Celebi: Unified Stream & Batch Processing with Apache Flink. Hadoop Summit Dublin, April 2016: SlideShare
  • Kostas Tzoumas: Counting Elements in Streams. Strata San Jose, March 2016: SlideShare
  • Jamie Grier: Extending the Yahoo! Streaming Benchmark. Flink Washington DC Meetup, March 2016: SlideShare
  • Jamie Grier: Stateful Stream Processing at In-Memory Speed. Flink NYC Meetup, March 2016: SlideShare
  • Robert Metzger: Stream Processing with Apache Flink. QCon London, March 2016: SlideShare
  • Vasia Kalavri: Batch and Stream Graph Processing with Apache Flink. Flink and Neo4j Meetup Berlin, March 2016: SlideShare
  • Maximilian Michels: Stream Processing with Apache Flink. Big Data Technology Summit, February 2016: SlideShare
  • Vasia Kalavri: Single-Pass Graph Streaming Analytics with Apache Flink. FOSDEM, January 2016: SlideShare
  • Till Rohrmann: Streaming Done Right. FOSDEM, January 2016: SlideShare

2015

  • Till Rohrmann: Streaming Data Flow with Apache Flink (October 29th, 2015): SlideShare
  • Stephan Ewen: Flink-0.10 (October 28th, 2015): SlideShare
  • Robert Metzger: Architecture of Flink's Streaming Runtime (ApacheCon, September 29th, 2015): SlideShare
  • Robert Metzger: Click-Through Example for Flink's KafkaConsumer Checkpointing (September, 2015): SlideShare
  • Paris Carbone: Apache Flink Streaming. Resiliency and Consistency (Google Tech Talk, August 2015: SlideShare
  • Andra Lungu: Graph Processing with Apache Flink (August 26th, 2015): SlideShare
  • Till Rohrmann: Interactive data analytisis with Apache Flink (June 23rd, 2015): SlideShare
  • Gyula Fóra: Real-time data processing with Apache Flink (Budapest Data Forum, June 4th, 2015): SlideShare
  • Till Rohrmann: Machine Learning with Apache Flink (March 23th, 2015): SlideShare
  • Marton Balassi: Flink Streaming (February 26th, 2015): SlideShare
  • Vasia Kalavri: Large-Scale Graph Processing with Apache Flink (FOSDEM, 31st January, 2015): SlideShare
  • Fabian Hueske: Hadoop Compatibility (January 28th, 2015): SlideShare
  • Kostas Tzoumas: Apache Flink Overview (January 14th, 2015): SlideShare

2014

  • Kostas Tzoumas: Flink Internals (November 18th, 2014): SlideShare
  • Marton Balassi & Gyula Fóra: The Flink Big Data Analytics Platform (ApachecCon, November 11th, 2014): SlideShare
  • Till Rohrmann: Introduction to Apache Flink (October 15th, 2014): SlideShare

宣传材料

Flink Logo

我们为Apache Flink提供不同尺寸和格式的Logo,点击[全套Logo]({{ site.baseurl }}/img/logo.zip) (7.7 MB) 或者 选择下面你需要的图片.

PNG格式

彩色Logo

<p><img src="{{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_color.png" alt="Apache Flink Logo" title="Apache Flink Logo" width="200px" /></p>

<p markdown="1">**尺寸(px)**:
  [50x50]({{ site.baseurl }}/img/logo/png/50/color_50.png),
  [100x100]({{ site.baseurl }}/img/logo/png/100/flink_squirrel_100_color.png),
  [200x200]({{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_color.png),
  [500x500]({{ site.baseurl }}/img/logo/png/500/flink_squirrel_500.png),
  [1000x1000]({{ site.baseurl }}/img/logo/png/1000/flink_squirrel_1000.png)</p>

黑底白字Logo

<p><img src="{{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_white.png" alt="Apache Flink Logo" title="Apache Flink Logo" width="200px" style="background:black;" /></p>

<p markdown="1">**尺寸(px)**:
  [50x50]({{ site.baseurl }}/img/logo/png/50/white_50.png),
  [100x100]({{ site.baseurl }}/img/logo/png/100/flink_squirrel_100_white.png),
  [200x200]({{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_white.png),
  [500x500]({{ site.baseurl }}/img/logo/png/500/flink_squirrel_500_white.png),
  [1000x1000]({{ site.baseurl }}/img/logo/png/1000/flink_squirrel_white_1000.png)</p>

白底黑字Logo

<p><img src="{{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_black.png" alt="Apache Flink Logo" title="Apache Flink Logo" width="200px" /></p>

<p markdown="1">**尺寸(px)**:
  [50x50]({{ site.baseurl }}/img/logo/png/50/black_50.png),
  [100x100]({{ site.baseurl }}/img/logo/png/100/flink_squirrel_100_black.png),
  [200x200]({{ site.baseurl }}/img/logo/png/200/flink_squirrel_200_black.png),
  [500x500]({{ site.baseurl }}/img/logo/png/500/flink_squirrel_500_black.png),
  [1000x1000]({{ site.baseurl }}/img/logo/png/1000/flink_squirrel_black_1000.png)</p>
在这里更多Logo类型: [点击查看]({{ site.baseurl }}/img/logo/png) or [点击下载]({{ site.baseurl }}/img/logo.zip) (7.7 MB).

SVG格式

彩色Logo

<p><img src="{{ site.baseurl }}/img/logo/svg/color_black.svg" alt="Apache Flink Logo" title="Apache Flink Logo" /></p>

<p markdown="1">Colored logo with black text ([color_black.svg]({{ site.baseurl }}/img/logo/svg/color_black.svg))</p>

黑底白字Logo

<p><img src="{{ site.baseurl }}/img/logo/svg/white_filled.svg" alt="Apache Flink Logo" title="Apache Flink Logo" style="background:black;" /></p>

<p markdown="1">White filled logo ([white_filled.svg]({{ site.baseurl }}/img/logo/svg/white_filled.svg))</p>

白底黑字Logo

<p><img src="{{ site.baseurl }}/img/logo/svg/black_outline.svg" alt="Apache Flink Logo" title="Apache Flink Logo" /></p>

<p markdown="1">Black outline logo ([black_outline.svg]({{ site.baseurl }}/img/logo/svg/black_outline.svg))</p>
在这里提供更多Logo,[点击查看]({{ site.baseurl }}/img/logo/svg) or [下载所有版本]({{ site.baseurl }}/img/logo.zip) (7.7 MB).

PSD格式

下载PSD格式:

  • 彩色Logo: [1000x1000]({{ site.baseurl }}/img/logo/psd/flink_squirrel_1000.psd).
  • 白底黑字Logo: [1000x1000]({{ site.baseurl }}/img/logo/psd/flink_1000.psd), [5000x5000]({{ site.baseurl }}/img/logo/psd/flink_5000.psd).

在这里提供更多Logo,[点击查看]({{ site.baseurl }}/img/logo/psd) or [下载所有版本]({{ site.baseurl }}/img/logo.zip) (7.7 MB).

颜色主题

你也可以选择搭配使用Flink Logo的部分颜色:

  • [颜色主题PDF]({{ site.baseurl }}/img/logo/colors/flink_colors.pdf)
  • [颜色主题PPT]({{ site.baseurl }}/img/logo/colors/flink_colors.pptx)