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社区和项目 |
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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 |
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。
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。
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Meetup活动已经举办多次,请参看meetup.com。
- ASF writable: https://git-wip-us.apache.org/repos/asf/flink.git
- ASF read-only: git://git.apache.org/flink.git
- GitHub mirror: https://github.com/apache/flink.git
注意,Flink不基于Oracle JDK 6版本编译,但可以运行在Oracle JDK 6之上。
- ASF writable: https://git-wip-us.apache.org/repos/asf/flink-web.git
- ASF read-only: git://git.apache.org/flink-web.git
- GitHub mirror: https://github.com/apache/flink-web.git
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。
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 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。
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 }})。
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 |
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。
- 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
- 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
- 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
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.
<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>
<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>
<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>
<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>
<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>
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).
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)