Apache Flink - Akka for the Win!
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Talk by Till Rohrmann, Apache Flink Meetup Berlin, 28th January 2015
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About three years ago, the Apache Flink community started adding SQL support to process static and streaming data in a unified fashion. Today, Flink SQL powers production systems at Alibaba, Huawei, Lyft, and Uber. Fabian Hueske discusses the current state of Flink’s SQL support and explains the importance of Flink’s unified approach to process static and streaming data. After covering the basics, he shares common real-world use cases ranging from low-latency ETL to pattern detection and demonstrates how easily they can be addressed with Flink SQL.
Flink's Journey from Academia to the ASF
Apache Flink is a project with a very active, supportive, and continuously growing community. Last year, Flink was among the top ten projects of the Apache Software Foundation with the most traffic on user and development mailing lists. Looking back, Flink started as a research prototype developed by three PhD students at TU Berlin in 2009. In 2014, the developers donated the code base to the ASF and joined the newly founded Apache Flink incubator project. Within three years, Flink grew into a healthy project and gained a lot of momentum.
In my presentation, I will discuss Flink's journey from an academic research project to one of the most active projects of the Apache Software Foundation. I will talk about the academic roots of the project, how the original developers got introduced to the ASF, Flink's incubation phase, and how its community evolved after it graduated and became an ASF top-level project. My talk will focus on the decisions, efforts, and circumstances that helped to grow a vital and welcoming open source community.
Why and how to leverage the power and simplicity of SQL on Apache Flink
SQL is the lingua franca of data processing and everybody working with data knows SQL. Apache Flink provides SQL support for querying and processing batch and streaming data. Flink’s SQL support powers large-scale production systems at Alibaba, Huawei, and Uber. Based on Flink SQL, these companies have built systems for their internal users as well as publicly offered services for paying customers. In my talk, I will discuss why you should and how you can (not being Alibaba or Uber) leverage the simplicity and power of SQL on Flink.
I will start exploring the use cases that Flink SQL was designed for and present real-world problems that it can solve. In particular, I'll explain why unified batch and stream processing is important and what it means to run SQL queries on streams of data. After discussing why and when you should use Flink SQL, I will show how to leverage its full potential. Since recently, the Flink community is working on a service that integrates a query interface, (external) table catalogs, and result serving functionality for static, appending, and updating result sets. I will discuss the design and planned features of this query service and how it will enable exploratory batch and streaming queries, ETL pipelines, and live updating query results that serve applications, such as real-time dashboards.
Streaming SQL to unify batch and stream processing: Theory and practice with ...
SQL is the lingua franca for querying and processing data. To this day, it provides non-programmers with a powerful tool for analyzing and manipulating data. But with the emergence of stream processing as a core technology for data infrastructures, can you still use SQL and bring real-time data analysis to a broader audience?
The answer is yes, you can. SQL fits into the streaming world very well and forms an intuitive and powerful abstraction for streaming analytics. More importantly, you can use SQL as an abstraction to unify batch and streaming data processing. Viewing streams as dynamic tables, you can obtain consistent results from SQL evaluated over static tables and streams alike and use SQL to build materialized views as a data integration tool.
Fabian Hueske and Shuyi Chen explore SQL’s role in the world of streaming data and its implementation in Apache Flink and cover fundamental concepts, such as streaming semantics, event time, and incremental results. They also share their experience using Flink SQL in production at Uber, explaining how Uber leverages Flink SQL to solve its unique business challenges and how the unified stream and batch processing platform enables both technical or nontechnical users to process real-time and batch data reliably using the same SQL at Uber scale.
Stream Analytics with SQL on Apache Flink
Apache Flink's DataStream API is very expressive and gives users precise control over time and state. However, many applications do not require this level of expressiveness and can be implemented more concisely and easily with a domain-specific API.
SQL is undoubtedly the most widely used language for data processing but usually applied in the domain of batch processing. Apache Flink features two relational APIs for unified stream and batch processing, the Table API, a language-integrated relational query API for Scala and Java, and SQL. A Table API or SQL query computes the same result regardless whether it is evaluated on a static file or on a Kafka topic. While Flink evaluates queries on batch input like a conventional query engine, queries on streaming input are continuously processed and their results constantly updated and refined.
In this talk we present Flink’s unified relational APIs, show how streaming SQL queries are processed, and discuss exciting new use-cases.
Stream Analytics with SQL on Apache Flink
This presentation describes the semantics of Flink's relational APIs (SQL & Table API) on data streams. The core concept are "Dynamic Tables" which can be queried with regular SQL queries and are constantly and automatically updated.
Taking a look under the hood of Apache Flink's relational APIs.
Apache Flink features two APIs which are based on relational algebra, a SQL interface and the so-called Table API, which is a LINQ-style API available for Scala and Java. Relational APIs are interesting because they are easy to use and queries can be automatically optimized and translated into efficient runtime code. Flink offers both APIs for streaming and batch data sources. This talk takes a look under the hood of Flink’s relational APIs. The presentation shows the unified architecture to handle streaming and batch queries and explain how Flink translates queries of both APIs into the same representation, leverages Apache Calcite to optimize them, and generates runtime code for efficient execution. Finally, the slides discuss potential improvements and give an outlook for future extensions and features.
Data Stream Processing with Apache Flink
This talk is an introduction into Stream Processing with Apache Flink. I gave this talk at the Madrid Apache Flink Meetup at February 25th, 2016.
The talk discusses Flink's features, shows it's DataStream API and explains the benefits of Event-time stream processing. It gives an outlook on some features that will be added after the 1.0 release.
Juggling with Bits and Bytes - How Apache Flink operates on binary data
Presented at the Berlin Apache Flink meetup at May 27th, 2015 by Fabian Hueske.
ApacheCon: Apache Flink - Fast and Reliable Large-Scale Data Processing
My talk on Apache Flink at ApacheCon North America 2015
Apache Flink - Hadoop MapReduce Compatibility
Talk by Fabian Hueske, Apache Flink Meetup Berlin, 28th January 2015
Apache Flink - A Sneek Preview on Language Integrated Queries
Talk by Aljoscha Krettek, Apache Flink Meetup Berlin, 28th January 2015
Apache Flink - Community Update January 2015
Talk by Robert Metzger, Apache Flink Meetup Berlin, 28th January 2015
More from Fabian Hueske (13)
Why and how to leverage the power and simplicity of SQL on Apache Flink
Why and how to leverage the power and simplicity of SQL on Apache Flink
Streaming SQL to unify batch and stream processing: Theory and practice with ...
Streaming SQL to unify batch and stream processing: Theory and practice with ...
Taking a look under the hood of Apache Flink's relational APIs.
Taking a look under the hood of Apache Flink's relational APIs.
Juggling with Bits and Bytes - How Apache Flink operates on binary data
Juggling with Bits and Bytes - How Apache Flink operates on binary data
ApacheCon: Apache Flink - Fast and Reliable Large-Scale Data Processing
ApacheCon: Apache Flink - Fast and Reliable Large-Scale Data Processing
Apache Flink - A Sneek Preview on Language Integrated Queries
Apache Flink - A Sneek Preview on Language Integrated Queries
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你做代理，可以改变自己，改变他人，给他人和自己一个机会他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了活
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NYU毕业证【微信95270640】《如何办理NYU毕业证纽约大学文凭学历》【Q微信95270640】《纽约大学文凭学历证书》《纽约大学毕业证书与成绩单样本图片》毕业证书补办 Fake Degree做学费单《毕业证明信-推荐信》成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！
【本科硕士】纽约大学纽约大学毕业证学位证（GPA修改）；学历认证（教育部认证）；大学Offer录取通知书留信认证使馆认证；雅思语言证书等高仿类证书。
办理流程：
1客户提供办理纽约大学纽约大学毕业证学位证信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
真实网上可查的证明材料
1教育部学历学位认证留服官网真实存档可查永久存档。
2留学回国人员证明（使馆认证）使馆网站真实存档可查。
我们对海外大学及学院的毕业证成绩单所使用的材料尺寸大小防伪结构（包括：纽约大学纽约大学毕业证学位证隐形水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪）都有原版本文凭对照。质量得到了广大海外客户群体的认可同时和海外学校留学中介做到与时俱进及时掌握各大院校的（毕业证成绩单资格证结业证录取通知书在读证明等相关材料）的版本更新信息能够在第一时间掌握最新的海外学历文凭的样版尺寸大小纸张材质防伪技术等等并在第一时间收集到原版实物以求达到客户的需求。
本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元够他挣上半个月的山娃很不解一向节俭的父亲啥时变得如此阔绰大方大把大把掏钱时居然连眉头也不皱一下车票早买好了直达卧铺车得经子
The affect of service quality and online reviews on customer loyalty in the E...
Journal of Management and Creative Business.published book./
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
UVic毕业证【微信95270640】（维多利亚大学毕业证成绩单本科学历）Q微信95270640(补办UVic学位文凭证书)维多利亚大学留信网学历认证怎么办理维多利亚大学毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假维多利亚大学假文凭学位证书制作UVic本科毕业证书硕士学位证书精仿维多利亚大学学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！
【实体公司】办维多利亚大学维多利亚大学毕业证文凭证书学历认证学位证文凭认证办留信网认证办留服认证办教育部认证（网上可查实体公司专业可靠）
— — — 留学归国服务中心 — — -
【主营项目】
一.维多利亚大学毕业证成绩单使馆认证教育部认证成绩单等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
国外毕业证学位证成绩单办理流程：
1客户提供维多利亚大学维多利亚大学毕业证文凭证书办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
专业服务请勿犹豫联系我！本公司是留学创业和海归创业者们的桥梁。一次办理终生受用一步到位高效服务。详情请在线咨询办理,欢迎有诚意办理的客户咨询!洽谈。
招聘代理：本公司诚聘英国加拿大澳洲新西兰美国法国德国新加坡各地代理人员如果你有业余时间有兴趣就请联系我们咨询顾问：+微信:95270640刀劈开抑或用拳头砸开每人抱起一大块就啃啃得满嘴满脸猴屁股般的红艳大家一个劲地指着对方吃吃地笑瓜裂得古怪奇形怪状却丝毫不影响瓜味甜丝丝的满嘴生津遍地都是瓜横七竖八的活像掷满了一地的大石块摘走二三只爷爷是断然发现不了的即便发现爷爷也不恼反而教山娃辨认孰熟孰嫩孰甜孰淡名义上是护瓜往往在瓜棚里坐上一刻饱吃一顿后山娃就领着阿黑漫山遍野地跑阿黑是一条黑色的大猎狗挺机灵的是山娃多年的忠实伙伴平时山娃上学阿黑也静
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
一般的なロボットポリシーモデルであり、トランスフォーマーベースの拡散ポリシーとして実装されているOctoについて紹介しています。
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
原版定制【微信:41543339】【(Deakin毕业证书)迪肯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
CBU毕业证【微信95270640】《如何办理不列颠海角大学毕业证认证》【办证Q微信95270640】《不列颠海角大学文凭毕业证制作》《CBU学历学位证书哪里买》办理不列颠海角大学学位证书扫描件、办理不列颠海角大学雅思证书！
国际留学归国服务中心《如何办不列颠海角大学毕业证认证》《CBU学位证书扫描件哪里买》实体公司，注册经营，行业标杆，精益求精！
1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实不列颠海角大学存档留学生信息存档认证：
1不列颠海角大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询不列颠海角大学不列颠海角大学本科学位证成绩单）；
2开始安排制作不列颠海角大学毕业证成绩单电子图；
3不列颠海角大学毕业证成绩单电子版做好以后发送给您确认；
4不列颠海角大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5不列颠海角大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问Q/微：95270640》这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到家了山娃没想到父亲城里的家会如此寒碜更没料到父亲的城里竟有如此简陋的鬼地方父亲的家在高楼最底屋最下面很矮很黑是很不显眼的地下室父亲的家安在别人脚底下孰
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Q1’2024 Update: MYCI’s Leap Year Rebound
Key things you need to know on consumer confidence, key behavioral, tech, e-wallet & esports trends in Malaysia.
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Apache Flink - Akka for the Win!
- 1. Apache Flink Akka – Actors for the win Till Rohrmann trohrmann@apache.org
- 2. Problems of the old RPC service • Proprietary server/client architecture to wrap RPCs • Shortcomings: – Blocking calls without timeouts – Poor exception handling – Error-prone programming abstraction – Limited scalability flink.apache.org 1
- 3. Akka – Actor-based concurrency • Framework to write distributed and highly reactive applications • Actor-based concurrency inspired by Erlang’s actor model • Open source, Apache License 2.0 2flink.apache.org
- 5. How can Akka help us? • Nice programming abstraction • Asynchronous messages with callbacks • Location transparency of actors • Fault-tolerant and self-healing • High throughput and scalability • Smaller code base to maintain flink.apache.org 5
- 6. Akka’s integration with Flink • Job/TaskManager and JobClient are actors • Old RPC are replaced by messages • Easy to extend functionality by defining new messages flink.apache.org 6 JobClient JobManag er TaskManag er TaskManag er Job
- 7. Possible improvements • Make more components an actor to increase parallelism – Scheduler/InstanceManager – ExecutionGraph/Execution • Make the system more reactive by asynchronous calls • Use Akka persistence to recover state of failed actors flink.apache.org 7
Editor's Notes
- ----- Meeting Notes (28/01/15 14:44) ----- Presentation is about why we replaced the old RPC service with Akka.
- ----- Meeting Notes (28/01/15 14:44) ----- - Communication between distributed components was realized by a proprietary RPC service - Distributed components: JobManager, TaskManager, JobClient - Server/Client architecture - No callbacks --> polling + high latencies - Lost exceptions -