├── .gitignore ├── 2014-05-31 ├── Lego-scala-meetingup.pdf ├── Play中的Iteratee及其应用.pdf ├── README.md ├── scala-on-android.pptx └── scala集合库详解.pdf ├── 2015-06-06 ├── configuration_meets_scala_macro.pdf ├── scala_in_bigdata.pdf └── 中等创业公司后端技术选型.pdf ├── 2015-12-26 ├── hangzhou_scala_meetup_2015_Q4_effective_akka.pptx ├── jdk8新特性与生产-1.pdf ├── scala与storm下流式计算-何首乌.pdf ├── scala使用体验_玄畅_201512.pdf ├── 图计算在in的实践_1.pptx └── 移动架构演化分享.key.pdf ├── 2016-01-17 └── README.md ├── 2017-03-26 ├── README.md └── slides │ ├── Akka Stream实践.pdf │ └── Scala@GrowingIO.pdf ├── 2017-04-22 ├── README.md └── slides │ ├── Akka Cluster 深入浅出.pdf │ ├── Akka TDD 实践.pdf │ ├── Real World Akka Stream.pdf │ └── Writing DSL in Scala.pdf ├── 2018-03-17 ├── README.md └── slides │ └── meetup20180317.pdf ├── 2019-03-11 ├── README.md └── slides │ ├── IPFS 存储结构分享.pptx │ ├── RubySa190309-从椭圆曲线到比特币地址.pdf │ ├── Web Frontend Architecure_20190309.pptx │ ├── 用10万+ Scala Actor 解决 4万+ 交易所对的行情数据.pdf │ └── 给开发者的精力管理简易参考指南-刘吉洋.pdf ├── 2020-09-05 ├── Zio 入门分享--by 明扬.pptx ├── akka-manage-your-state-just-right--by Evan.html └── 代数组合子与文本解析--by 刘鑫.pptx ├── 2021-01-16 ├── A fully reactive ad serving platform using Scala & Akka-Streams--by 程颖宇.pptx ├── AST_Manipulation_and_Pattern_Matching_in_Scala.md ├── README.md ├── Spring + Akka Microservice--by 羊八井.pptx ├── 世俗化的函数式编程--by 大魔头.pdf └── 刘鑫-分享 ├── 2021-06-26 ├── README.md ├── Scala 菜鸟逆袭之路-- by 屈国栋.pptx ├── 关于Scala学习和就业中若干问题的讨论--by 张伟文.pdf └── 融合Play--by Neo Lin.pptx ├── 2022-06-25 ├── 1.png ├── 2.png ├── 3.png ├── README.md ├── Tubi推荐系统之架构与实践-邓骏骏.pdf ├── poster.png ├── what_is_computation_a_programmers_perspective_2022-高宇翔.pdf └── 反应式流在大规模场景下的应用 - 何品.pdf ├── 2023-01-14 ├── README.md ├── 张正来_tubi-story-grpc-scala.pdf ├── 李枫_ScalaMeetup2023(Online)__Scala for Jupyter Notebook__20230117p.pdf ├── 李枫_补充slides_CosCon2022__Ray--a Swiss Army Knife for Distributed Computing & AI__20221111p.pdf ├── 李枫_补充slides_Cross-platform integration for Polyglot Programming__20230117p.pdf └── 袁洋_scala与函数式编程.pptx ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | # 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Scala Meetup @ Beijing #1 2 | 3 | 时间：2016.01.17 周日 14:00 - 17:00 4 | 5 | 地点：北京市海淀区中关村善缘街 1 号立方庭大厦 1 楼科苑星空咖啡厅 6 | 7 | 地图：（http://j.map.baidu.com/51mg8） 8 | 9 | 组织者：[@Hawstein](https://github.com/Hawstein) 10 | 11 | 参与者：[@Hawstein](https://github.com/Hawstein)，[@hepin1989](https://github.com/hepin1989)，待完善 12 | 13 | 归结：[@Hawstein](https://github.com/Hawstein)，[@hepin1989](https://github.com/hepin1989) 14 | 15 | ----- 16 | ## 引子 17 | 18 | [@Hawstein](https://github.com/Hawstein) 在毕业后加入了豌豆荚，豌豆荚是一家技术氛围非常浓厚和开放的公司，工作后他兴趣转向了 Scala（如下），此后他又建立了 [ScalaChina](http://scalachina.org/) 社区，以推动 Scala 在中国社区的传播和发展，期间也得到了 @dcaoyuan 以及 @hongjiang 的鼓励和支持。再到后来他又建立了 ScalaChina QQ 群，以进一步的方便交流。再一次和群友的聊天过程中，其提出可能组织一次线下的交流活动是更好的交流形式的构想，这也是了本次 Meetup 的最初的萌芽。后来他制作了一个[宣传页面](待补充)，并有幸由 @xring 小范围扩散，后来继而被扩散到 `jvm研究群` 也便有了 [ONEAPM]() 的各位实力干将的加入，使得本次 Meetup 人数从几人扩展到了十几人，其将其 CTO 还不辞辛劳，亲临现场对本次圆桌会议表示关切。 19 | 20 | 本次活动由 [@Hawstein](https://github.com/Hawstein) 的校友所开的 [科苑星空咖啡厅](待添加) 提供场地，他们为这次 Meetup 在二楼专门提供了一个会议室，[@Hawstein](https://github.com/Hawstein) 早早的赶到并布置了现场。大家基本都在预计的时间点到达了预定的地点。 21 | 22 | ## 主要内容 23 | 24 | 本次北京地区的 Scala Meetup 组织形式为 10 ~ 20 人的圆桌，一来是时间仓促，二来该活动是第一次办，决定从简开始。实到 12 人，OneAPM 占了将近一半：） 25 | 26 | 人到齐后 [@Hawstein](https://github.com/Hawstein) 首先对为何组织这次 Meetup 以及为何不得不限制人数，组织为一个圆桌的形式做了简单的说明，并且对本次Meetup的组织形式做了一个简单的介绍。交流形式为： 27 | 28 | 1. 大家先进行简单的自我介绍。 29 | 2. 1）介绍大家是如何接触到 Scala 这门语言的以及。2）在日常工作中对于 Scala 技术栈的应用。 30 | 31 | 大家先进行了简单的自我介绍后，又按顺序介绍围绕 （1）怎么接触到 Scala 的以及 （2）自己对于 Scala 技术栈的应用展开了交流，期间大伙提问分享，井然有序，热情洋溢。 32 | 33 | ----- 34 | 35 | @hepin1989 首先聊了他是如何接触到 Play 以及 Scala 的和 Akka 的，以及他学习 Scala 的经历，非常曲折，路子非常野，但最后修成了正果，非常令人佩服。为了使用 Play 和看懂 Play 的源代码，学习了 Scala，而后又了解到了 Play 的底层使用的是 Akka，他为了学习 Scala，去看了很多别的语言和工具如 Clojure/Erlang/Elixir和Haskell 等。现在在畅易游做游戏服务端开发，是 Akka 的重度使用者。他介绍了基于 Akka 实现的服务发现以及 Akka Streams 和 kafka 以及 Graylog 结合做实时日志的应用。游戏后端是 Akka 一个非常适合的使用场景，听 @hepin1989 讲，手游的特点就是新游戏上线后的一段时间，会集中涌入大量的新玩家，花钱买买买来玩游戏。这时候对服务端的实时性要求很高，机器也会上得比较多。一小段时间后，玩家对这个游戏就没什么兴趣了，这时只需要少量机器就能应付了。使用 Akka Cluster 动态伸缩，轻松搞定。另外 actor 模式也非常适合来描述玩家/道具等等概念。@hepin1989 对 Netty的了解也比较深入，目前在翻译《Netty in action》。 36 | 37 | @xring 还是大四学生，学习能力非常强，现在在 IBM 实习，也已经拿到了 IBM 的 offer。目前他在IBM做一个大型的机器学习的项目。同时IBM的话主要是在使用 Spark 做数据分析，在会议上我们也了解到IBM非常看好Scala和Spark的应用。 38 | 39 | @有祥 就职于 IBM，是 DB2 领域的高级技术专家，深耕于 DB2 在金融系统的应用，期间其介绍了他使用语言的经历，以及各种语言在他职业生涯中的特殊的场景下的使用，其介绍说他们为了性能用 C/C++ 几乎都用最基本的特性，为了将性能发挥大最大化，Scala 是个人兴趣，期间他评论说：`Scala是他学习过的最难的一门语言`，同时也交流了他对函数式编程语言的看法，以及目前他对 Spray 以及 Play 的应用。期间他分享了他们现在的基于 OSGI 的系统的一些优缺点，以及探讨了如何把 Scala 技术栈应用到对 IBM 现有的技术服务栈优化和重构中。 40 | 41 | @肖宾 是搞硬件开发出身的，后来机缘巧合在技术交流会上接触到了使用 Scala 技术栈的公司，后来进入该公司做 Scala 开发。 42 | 43 | @WillemJiang，Apache Camel commiter，目前就职于 OneAPM，OneAPM 目前也在服务中慢慢开始使用 Scala，他介绍了他最开始接触 Scala 是为了编写 Camel 的 DSL 设计，并且评论说 Scala 在 DSL 设计领域和 Groovy 相比不分伯仲，甚至更优。其将他还趣说了 Groovy 的作者[James Strachan](https://people.apache.org/~jstrachan/)说如果他早先知道 Scala，他就不会搞 Groovy了。也评论了 Typesafe 对于 Scala 的强力推动，以及 @odersky 在 PLR 领域的地位和 Scala 整体的设计。他评论说 Scala 目前借助于 Spark 的确社区日益壮大，但是还是有不少难以逾越的门槛，比如学习曲线太陡，并且形象的描述为`一个快速跑路的人突然遇到一堵高墙`，为此他对于 Scala 中文社区应该如何扩大提出了指导意见以及对 Scala 语言的演进方向做了自己的看法，大家纷纷表示赞同。@WillemJiang 讲了不少 Apache下开源项目相关的事情，比如其在 JBoss、红帽和 Groovy 的作者以及 Trustin 等作为同事一起开发开源项目的工作经历，并且就开源项目的开发、组织以及盈利模式进行了介绍，大家对此也都比较感兴趣，于是大家围绕这个话题聊了一会。另外，@WillemJiang 还对之后的活动形式提了个建议，可以搞一些类似 Hackathon 的活动，让大家用 Scala生态圈中的工具做些好玩的东西。 44 | 45 | 46 | TODO Detail @cabin 说他很幸运第一次工作边接触到了 Scala 并且正在现在的公司应用并积极推广 Scala。 47 | 48 | 49 | @张健 OneAPM 讲述了他们目前使用 Scala 来设计 DSL 以及最开始在技术预研是对 Akka 的一些应用。 50 | 51 | 来参加交流会的 OneAPM 小伙伴还有 @友国，@晓光，@张健，@谢鑫，后来 OneAPM 的 CTO 也到访：）。Scala 在 OneAPM 还不算使用得很多，目前主要用到像 Flink 和 Spark Streaming 做一些流式处理，也有开始使用 Akka。不过看得出来，OneAPM 的小伙伴们对 Scala 充满了热爱，相信 Scala 技术栈会慢慢更多地运用在 OneAPM 的服务中。 52 | 53 | 最后，[@Hawstein](https://github.com/Hawstein) 对 Scala 在豌豆荚的应用进行了介绍，他引用了他问 @dcaoyuan 为何选择 Scala 时，@dcaoyuan 的回答：`Scala满足了他对编程语言的所有幻想。`，大家纷纷表示惊讶和赞同。而后他分享了其如何使用 Akka Streams 进行实时日志分析，以及评论 Haskell 是最优雅的函数式编程语言。而且也分享了@dcaoyuan 的一些工作，描述说 [Chana](https://github.com/wandoulabs/chana) 是一个大型的实时查询系统的一部分，大家就一些细节问题进行了咨询。同时也分享了 @dcaoyuan 对于 Akka 的高度评价。 54 | 55 | > Written by [@Hawstein](https://github.com/Hawstein) 56 |
57 | 我个人是函数式编程语言的爱好者，最早接触的是 Haskell，并且深深地被这门语言所吸引。但问题是一直没能用 Haskell 写些实用点的项目，后来在和 @dcaoyuan 的一次聊天中，我的兴趣开始转向 Scala。详见：[我为什么想做 ScalaChina](http://scalachina.org/topic/54fdede715c4020608a15299)。大概有大半年的时间，我工作的时候写 Java，工作之余写 Scala，这种状况在一次公司的结构调整后发生了改变。我和公司另一位偏爱 Scala 的后端工程师开始为一条新产品线写后端服务，这样我也就开始在工作中使用 Scala 了，主项目用到了 Akka，Spray 和 Slick，其它的工具我也都想尝试，于是用 Play 写后台来满足一些后台需求，用 Akka Streams 写日志分析服务来对线上服务的日志进行实时分析处理。使用 Scala 至今，虽然知道它的各种不足，也踩过很多坑，但目前它还是我最喜欢的编程语言。而 Scala 生态圈中，我最喜欢的工具是 Akka，希望后面能用它做些好玩的事情。 58 | 59 | 60 | 在本次会议的最后，大家进行了总结，并且简单地探讨了下次一次可能的形式，并且合照进行了留影纪念。 61 | ![cy66tf8wyae0fl9](https://cloud.githubusercontent.com/assets/501740/12428996/dbe3fcd4-bf22-11e5-99ae-b0ca91748598.jpg) 62 | 63 | 最后在这里再次感谢 [@Hawstein](https://github.com/Hawstein) 组织了这次活动。 64 | -------------------------------------------------------------------------------- /2017-03-26/README.md: -------------------------------------------------------------------------------- 1 | # Scala Meetup @ Beijing #2 2 | 3 | 时间：2017.03.26 周日 14:00 - 17:00 4 | 5 | 地点：北京市海淀区上地信息路 19 号商服中心三层香啡小镇咖啡厅 6 | 7 | 地图：（http://j.map.baidu.com/OnM7r） 8 | 9 | 组织者：[@zhxiaogg](https://github.com/zhxiaogg) 10 | 11 | ## 1. 介绍 12 | 13 | 本次 Meetup 参与者包括： 14 | - Hawstein 15 | - 姜宁 16 | - 陈友国 17 | - 何冰清 18 | - 殷湘 19 | - 张晓光 20 | 21 | ## 2. 议题 22 | 23 | ### 2.1《Akka Streaming 实战》 陈友国 24 | 25 | 陈友国在 OneAPM 基于 Akka Streaming 开发了一个时序数据聚合组件，他在分享中总结了使用 Akka Streaming 开发过程中踩到的一些坑，包括 GraphStage 的编写与测试，Akka Streaming 如何存储应用状态，Akka Streaming 与 Akka Cluster 的集成尝试等。 26 | 27 | ### 2.2《Some(scala) @ GrowingIO》 Hawstein 28 | 29 | Hawstein 在本次分享中介绍了 Scala 在 GrowingIO 的使用和推广，包括对线上服务架构的简介、Play 框架的使用和测试、Akka Actor 的介绍、GrowingIO 基于 Akka Http 和 Akka Streams 开发的核心服务 dpx service 介绍等。 30 | 31 | 在分享过程中，大家还讨论了 Play 与 Akka Http 的对比与选择，GrowingIO 与 OneAPM 各自为客户做产品的私有化部署时遇到的问题和解决思路等。 32 | 33 | ### 2.3《linkerd 介绍》姜宁 34 | 35 | 姜宁在分享中介绍了 linkerd 项目，该项目属于 [CNCF](https://www.cncf.io/)，是一个集服务发现、服务路由、容错等于一体的软件代理，主要服务于微服务架构。在分享中姜宁还详细介绍了 linkerd 的路由配置、client based service discovery VS. centralized service discovery 等。 36 | 37 | ## 3. Meetup 总结 38 | 39 | 本次 meetup 组织时由于缺乏经验，报名和前来的小伙伴很少；但是分享和讨论时，大家依然十分投入。本次讨论内容多集中于 Akka、Akka Http、Akka Streams、 TDD & 测试、微服务等。 40 | 41 | 此外，大家还就 Scala 社区的情况进行了讨论，希望能有更多的小伙伴加入我们，大家也决定至少每个月举行一次 Meetup。Hawstein 也表示 GrowingIO 后面可能会以公司名义举办一次活动。 42 | 43 | 2017 年 Scala 第一次 Meetup 结束，期待后续活动，谢谢大家！ 44 | -------------------------------------------------------------------------------- /2017-03-26/slides/Akka Stream实践.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2017-03-26/slides/Akka Stream实践.pdf -------------------------------------------------------------------------------- /2017-03-26/slides/Scala@GrowingIO.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2017-03-26/slides/Scala@GrowingIO.pdf -------------------------------------------------------------------------------- /2017-04-22/README.md: -------------------------------------------------------------------------------- 1 | # Scala Meetup @ Beijing #3 2 | 3 | 时间：2017.04.22 周六 13:30 - 18:00 4 | 5 | 地点：北京市朝阳区望京国际商业中心 F 座 B 楼 2 层 B208 无界空间 6 | 7 | 地图：（http://j.map.baidu.com/92hu9） 8 | 9 | 组织者：[@Hawstein](https://github.com/Hawstein) & [@GrowingIO](https://github.com/growingio) 10 | 11 | 12 | ## 议题 13 | 14 | 本次 Scala Meetup 由 GrowingIO 赞助，在联合办公场所「无界空间」举办。共有以下 4 个 talk： 15 | 16 | * [Real World Akka Stream](https://github.com/scalacn/scala-meetup/blob/master/Beijing/2017-04-22/slides/Real%20World%20Akka%20Stream.pdf)，罗辑 @ 知乎 17 | * [Akka TDD 实践](https://github.com/scalacn/scala-meetup/blob/master/Beijing/2017-04-22/slides/Akka%20TDD%20%E5%AE%9E%E8%B7%B5.pdf)，张健 @ OneAPM 18 | * [Writing DSL in Scala](https://github.com/scalacn/scala-meetup/blob/master/Beijing/2017-04-22/slides/Writing%20DSL%20in%20Scala.pdf)，艾彦波 @ GrowingIO 19 | * [Akka Cluster 深入浅出](https://github.com/scalacn/scala-meetup/blob/master/Beijing/2017-04-22/slides/Akka%20Cluster%20%E6%B7%B1%E5%85%A5%E6%B5%85%E5%87%BA.pdf)，山行 @ 阿里巴巴菜鸟网络 20 | -------------------------------------------------------------------------------- /2017-04-22/slides/Akka Cluster 深入浅出.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2017-04-22/slides/Akka Cluster 深入浅出.pdf -------------------------------------------------------------------------------- /2017-04-22/slides/Akka TDD 实践.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2017-04-22/slides/Akka TDD 实践.pdf -------------------------------------------------------------------------------- /2017-04-22/slides/Real World Akka Stream.pdf: 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QQ:1055747931) 11 | 12 | ##### 性质：事但翕，围绕scala生态系统包括scala语言、scala编程模式、函数式编程、akka、spark、kaffka等 13 | 14 | ##### 目的：初次见面，主要是了解深圳的scala圈子有哪资源，能力，大家形成合力搞事情 15 | 16 | ##### 愿景：自愿参与，虽然没有特定的目的，但还是希望见面会能达成某些效果，包括： 17 | 18 | - 相互了解：参与者之间相互了解各自的学习、工作、兴趣爱好、技术强项等 19 | 20 | - 相互帮扶：参与者间对在学习、工作中产生的与以上所述主题有关的问题，由有经历的朋友进行有针对性的指导帮助。 21 | 22 | - 经验分享：参与者自愿对自身的兴趣、技术经历、开源项目与大家分享。 23 | 24 | - 技术跟进：通过讨论形式分享新出现的技术和应用及其发展情况。 25 | 26 | - 项目参与：有开源项目的参与者介绍项目情况、技术应用、开发过程及贡献者要求。 27 | 28 | 总共有20位新老司机参加了会议，主要由[@雪川大虫](https://github.com/Bayakala)分享了函数式编程的历程和心得 29 | 最后在这里再次感谢 小庄 提供了这次活动场所。 30 | 31 | > Written by [@廖师虎](https://github.com/lshoo) 32 | -------------------------------------------------------------------------------- /2018-03-17/slides/meetup20180317.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2018-03-17/slides/meetup20180317.pdf -------------------------------------------------------------------------------- /2019-03-11/README.md: -------------------------------------------------------------------------------- 1 | ### 活动信息 2 | 3 | 时间： 2019年3月9号，下午1点 - 6点 4 | 5 | 地点： 北京市朝阳区工体北路三里屯SOHO办公B座19层 6 | 7 | ### Topic: 8 | 9 | 1、Web Frontend Architecture In Conviva @文科 - Conviva 10 | 11 | [keynotes](https://ruby-china.org/topics/38181/edit) 12 | 13 | 2、比特币地址的地址是如何诞生的 @Nervos 北京社区 刘宁 14 | 15 | [keynotes](https://ruby-china.org/topics/38181/edit) 16 | 17 | 3、《渐进式迁移到现代前端开发模式 —— 用 Webpacker 替代 Sprockets 实现前端资源的管理》 姜军 18 | 19 | [keynotes](https://ruby-china.org/topics/38214) 20 | 21 | 4、如何有 10万+ Scala Actor 解决 4万+ 交易所对的行情数据（强类型编程的克星 - 交易所 API) 江华 22 | 23 | [keynotes](https://ruby-china.org/topics/38181/edit) 24 | 25 | 5、IPFS 底层数据存储架构分析 - 宋佳洋 26 | 27 | [keynotes](https://ruby-china.org/topics/38181/edit) 28 | 29 | 6、给开发者的精力管理简单操作指南 - 刘吉洋 - Nervos北京社区 30 | 31 | [keynotes](https://ruby-china.org/topics/38181/edit) 32 | 33 | ### 主办的单位 34 | 35 | * https://algocasts.io/ 社区 36 | * Nervos 北京社区 37 | * https://blocktrending.com 38 | * 掘金社区(https://juejin.im/timeline) 39 | 40 | ### 活动现场照片 41 | 42 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yyd6ta5jj23402c0hdw.jpg) 43 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yydifkc7j23402c0e84.jpg) 44 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yydpuyyfj21hc0u07ia.jpg) 45 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yydywed9j23402c0b2c.jpg) 46 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yye7aef7j23402c0u0z.jpg) 47 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yyeg6kdkj23402c0x6r.jpg) 48 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yyemra79j21hc0ps481.jpg) 49 | ![](http://ww1.sinaimg.cn/large/759b91a5ly1g0yyevbxihj23402c0npg.jpg) -------------------------------------------------------------------------------- /2019-03-11/slides/IPFS 存储结构分享.pptx: -------------------------------------------------------------------------------- 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/2020-09-05/代数组合子与文本解析--by 刘鑫.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2020-09-05/代数组合子与文本解析--by 刘鑫.pptx -------------------------------------------------------------------------------- /2021-01-16/A fully reactive ad serving platform using Scala & Akka-Streams--by 程颖宇.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2021-01-16/A fully reactive ad serving platform using Scala & Akka-Streams--by 程颖宇.pptx -------------------------------------------------------------------------------- /2021-01-16/AST_Manipulation_and_Pattern_Matching_in_Scala.md: -------------------------------------------------------------------------------- 1 | --- 2 | marp: true 3 | theme: uncover 4 | --- 5 | 6 | # AST Manipulation and Pattern Matching in Scala 7 | 8 | --- 9 | 10 | ``` 11 | 1 + a + 2 12 | -> (1 + a) + 2 13 | -> (a + 1) + 2 14 | -> a + (1 + 2) 15 | -> a + 3 16 | ``` 17 | 18 | --- 19 | 20 | ## Antlr4 in 1 minute 21 | ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. 22 | 23 | --- 24 | 25 | ## Antlr4: A Parser Generator 26 | ``` 27 | expression 28 | : expression POW expression 29 | | expression (TIMES | DIV) expression 30 | | expression (PLUS | MINUS) expression 31 | | LPAREN expression RPAREN 32 | | (PLUS | MINUS)* atom; 33 | 34 | atom 35 | : scientific 36 | | variable; 37 | 38 | scientific 39 | : SCIENTIFIC_NUMBER; 40 | 41 | variable 42 | : VARIABLE; 43 | ``` 44 | 45 | --- 46 | 47 | ## Antlr4: Tree of `1 + a + 2` 48 | 49 | ``` scala 50 | val lazyTree = LazyTree("1 + a + 2") 51 | 52 | lazyTree.expression().foreach { node => 53 | println(s"${beautifyName(node)} [${extract(node)}]") 54 | } 55 | ``` 56 | 57 | --- 58 | 59 | ## AST Manipulations 60 | 61 | --- 62 | 63 | ## Constraints 64 | Only LPAREN/RPAREN/PLUS/atom is allowed. 65 | 66 | --- 67 | 68 | ## Parenthesize 69 | 70 | ``` 71 | 1 + a + 2 72 | -> (1 + a) + 2 73 | ``` 74 | 75 | 76 | --- 77 | 78 | ## Evaluate 79 | ``` 80 | a + (1 + 2) 81 | -> a + 3 82 | ``` 83 | 84 | --- 85 | 86 | ## Constant Folding 87 | 88 | ``` sql 89 | select 1 + a + 2 as x from tbl 90 | 91 | select a + 3 as x from tbl 92 | ``` 93 | 94 | --- 95 | 96 | ## DSL 97 | 1. Antlr4 98 | 2. Pattern Matching 99 | 3. Create a DSL 100 | 101 | ## SQL 102 | ### Data Query Language 103 | ### Data Manipulation Language 104 | 105 | --- 106 | 107 | ## Q&A Notes 108 | ### Spark SQL / MySQL 109 | 110 | load mysql as mysql_x select * from x; 111 | 112 | select * from mysql_x join y 113 | 114 | --- 115 | 116 | ## Q&A Notes 117 | 118 | text -> AST(antlr4) 119 | -> AST (More Abstraction) 120 | 121 | sql -> AST -> LogicalPlan -> PhysicalPlan 122 | 123 | --- 124 | 125 | ## Q&A 126 | -------------------------------------------------------------------------------- /2021-01-16/README.md: -------------------------------------------------------------------------------- 1 | ## 回顾 2 | 3 | 本次meetup由 Tubi 的 tina组织，为线上活动。对应的视频回放地址： 4 | [国内](https://www.bilibili.com/video/BV1Dv4y1Z76D) -------------------------------------------------------------------------------- /2021-01-16/Spring + Akka Microservice--by 羊八井.pptx: -------------------------------------------------------------------------------- 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的热爱与支持以及国内疫情状况的好转，我们终于在这个6月迎来近两年首次线下 Scala Meetup，Tubi 依旧作为主办方给大家提供尽可能多的支持。 4 | 5 | 此次线下 meetup 给大家又带来了新的精神食粮：有 Scala 的多范式在 playframework 中的实践应用 - zio/cats/classic actor/typed actor；有关于 Scala 学习和就业中若干问题的讨论；还有 Scala 工程师自己的学习实践心得这类轻松实用的话题。 6 | 7 | ## 时间地点 8 | 出于疫情防控安全需要，本次活动将采取“线下+线上直播“同时进行的方式，线下人数将控制在 50 人以内。 9 | 10 | + 时间：2021年6月26日1:30pm-5:00pm 11 | + 线下地点：北京市朝阳区望京东园四区13号楼浦项中心A座23层 12 | + 线上直播：Zoom 会议室 （线上人员无需报名，具体直播地址请参照下方“温馨提示”中添加工作人员入群后，会在直播前群内统一通知） 13 | 14 | ## 日程安排 15 | 16 | + 13：20-13：40 线下签到&领取纪念品 17 | + 13：40-14：40 《融合 Play：Scala 的多范式在 playframework 中的实践应用 - zio/cats/classic actor/typed actor》-- by Neo Lin 18 | + 13：40-15：40 《Scala 菜鸟逆袭之路》-- by 屈国栋 19 | + 15：40-16：00 中场休息&茶歇 20 | + 16：00-17：00 《关于 Scala 学习和就业中若干问题的讨论》-- by 张伟文 21 | + 17：00-17：10 活动结束&自由交流 22 | 23 | -------------------------------------------------------------------------------- /2021-06-26/Scala 菜鸟逆袭之路-- by 屈国栋.pptx: -------------------------------------------------------------------------------- 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3 | ## 活动信息 4 | 5 | + 时间：2022/6/25 14:00-17:30 6 | + 地址：比图科技B站直播间 7 | + 分享主题：三位重磅嘉宾将为本次 Meetup 带来精彩各异的分享，以下简介排序不分前后。 8 | 9 | ![](1.png) 10 | ![](2.png) 11 | ![](3.png) 12 | 13 | ## 活动说明 14 | + 本次活动免费 15 | + 报名后请添加微信 15600819309， 备注 scala meetup， 加入活动群，我们将在群里分享 zoom 会议号 16 | + 欢迎大家带自己的同事和朋友一起参加，请提前为他们报名 17 | 18 | ## 主办方 & 赞助方 19 | ### Tubi （比图科技） 20 | Tubi 是美国福克斯集团下独立运营、以广告获取收益的流媒体服务公司，为 51,000,000 月度活跃用户免费提供 40,000+ 部优质电影电视节目和 100+ 新闻直播频道。 21 | 22 | 美国、加拿大、墨西哥、澳大利亚和新西兰等全球用户可通过电视、网页、iOS、Android 等 25 种用户端，免费观看 Tubi 提供的定制化视频。Tubi 与派拉蒙、米高梅、狮门、Starz、万达影业等超过 250 个 Studio 有长期稳定合作。 23 | 24 | Tubi 总部位于美国旧金山，目前拥有 400+ 员工并持续壮大中。2016 年，由于湾区技术人才供需紧张，华人工程师能力受到肯定，跨区域研发运维具有明显优势，Tubi 中国团队——比图科技应运而生。 25 | 26 | 区别于大多数驻扎在中国的外企研发中心，Tubi 中国团队并非总部的补充，也并非一个专门处理本地化需求的团队，从建立伊始，我们的目标就是打造一支具有国际化视野的、能力一流、和总部研发团队并肩作战的团队。如今，这支近百人的队伍已然成为 Tubi 的核心研发力量，为数千万级用户的观影体验保驾护航。 27 | 28 | ## 协办方 29 | “织码开门”旨在探索新的编程培训模式，培养新一代软件工程师。织码开门采用教学课件，线下动手实验室以及项目实训的方式来让学员学做结合，知行合一；为企业输送面向未来的 IT 技术人员。 30 | 31 | 博文视点（Broadview）是电子工业出版社下属旗舰级子公司。多年来，博文视点深耕专业出版，以敏锐眼光、独特视角密切关注技术发展趋势及变化，致力于将技术大师之优秀思想、一线专家之一流经验集结成书。历经近 20 年不懈努力，汇集了众多优秀专家作者，沉淀下一大批经久不衰的经典著作。 32 | 33 | ![](poster.png) -------------------------------------------------------------------------------- /2022-06-25/Tubi推荐系统之架构与实践-邓骏骏.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2022-06-25/Tubi推荐系统之架构与实践-邓骏骏.pdf -------------------------------------------------------------------------------- /2022-06-25/poster.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scalacn/scala-meetup/8379975762cc5fd923756f2be7820a9cfd85b015/2022-06-25/poster.png -------------------------------------------------------------------------------- /2022-06-25/what_is_computation_a_programmers_perspective_2022-高宇翔.pdf: 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