Home Database Mysql Tutorial Storm流计算从入门到精通之技术篇(高并发策略、批处理事务、Trid

Storm流计算从入门到精通之技术篇(高并发策略、批处理事务、Trid

Jun 07, 2016 pm 03:57 PM
storm getting Started concurrent Strategy proficient calculate High concurrency

对这个课程有兴趣的可以加我qq2059055336和我联系 Storm是什么? 为什么学习Storm? Storm是Twitter开源的分布式实时大数据处理框架,被业界称为实时版Hadoop。 随着越来越多的场景对Hadoop的MapReduce高延迟无法容忍,比如网站统计、推荐系统、预警系统、金

对这个课程有兴趣的可以加我qq2059055336和我联系

Storm是什么? 为什么学习Storm? Storm是Twitter开源的分布式实时大数据处理框架,被业界称为实时版Hadoop。 随着越来越多的场景对Hadoop的MapReduce高延迟无法容忍,比如网站统计、推荐系统、预警系统、金融系统(高频交易、股票)等等, 大数据实时处理解决方案(流计算)的应用日趋广泛,目前已是分布式技术领域最新爆发点,而Storm更是流计算技术中的佼佼者和主流。 按照storm作者的说法,Storm对于实时计算的意义类似于Hadoop对于批处理的意义。Hadoop提供了map、reduce原语,使我们的批处理程序变得简单和高效。 同样,Storm也为实时计算提供了一些简单高效的原语,而且Storm的Trident是基于Storm原语更高级的抽象框架,类似于基于Hadoop的Pig框架, 让开发更加便利和高效。本课程会深入、全面的讲解Storm,并穿插企业场景实战讲述Storm的运用。 淘宝双11的大屏幕实时监控效果冲击了整个IT界,业界为之惊叹的同时更是引起对该技术的探索。 学完本课程你可以自己开发升级版的“淘宝双11”,还等什么?

课程大纲

1、Storm简介和课程介绍

2、Storm原理和概念详解

3、Zookeeper集群搭建及基本使用

4、Storm集群搭建及测试

5、API简介和入门案例开发

6、Spout的Tail特性、storm-starter及maven使用、Grouping策略

7、实例讲解Grouping策略及并发度

8、并发度详解、案例开发(高并发运用)

9、案例开发——计算网站PV

10、案例优化引入Zookeeper锁控制线程操作

11、计算网站UV(去重计算模式)

后续经典内容:

批处理事务详解

事务案例分析

事务案例实战开发

DRPC详解

DRPC实战开发

第二章 Storm Trident

Storm Trident 详解

Trident API深入

案例分析

实战案例开发 

【运维篇】

配置参数、Storm命令等详解

集群统一启动和停止shell脚本开发

Storm集群和作业监控告警开发(可接告警平台) 

课程中会穿插经验和技巧分享,常见场景解决方案分析等,可帮助学员迅速积累经验值。

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Two Point Museum: All Exhibits And Where To Find Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Generate PPT with one click! Kimi: Let the 'PPT migrant workers' become popular first Generate PPT with one click! Kimi: Let the 'PPT migrant workers' become popular first Aug 01, 2024 pm 03:28 PM

Kimi: In just one sentence, in just ten seconds, a PPT will be ready. PPT is so annoying! To hold a meeting, you need to have a PPT; to write a weekly report, you need to have a PPT; to make an investment, you need to show a PPT; even when you accuse someone of cheating, you have to send a PPT. College is more like studying a PPT major. You watch PPT in class and do PPT after class. Perhaps, when Dennis Austin invented PPT 37 years ago, he did not expect that one day PPT would become so widespread. Talking about our hard experience of making PPT brings tears to our eyes. "It took three months to make a PPT of more than 20 pages, and I revised it dozens of times. I felt like vomiting when I saw the PPT." "At my peak, I did five PPTs a day, and even my breathing was PPT." If you have an impromptu meeting, you should do it

All CVPR 2024 awards announced! Nearly 10,000 people attended the conference offline, and a Chinese researcher from Google won the best paper award All CVPR 2024 awards announced! Nearly 10,000 people attended the conference offline, and a Chinese researcher from Google won the best paper award Jun 20, 2024 pm 05:43 PM

In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn

From bare metal to a large model with 70 billion parameters, here is a tutorial and ready-to-use scripts From bare metal to a large model with 70 billion parameters, here is a tutorial and ready-to-use scripts Jul 24, 2024 pm 08:13 PM

We know that LLM is trained on large-scale computer clusters using massive data. This site has introduced many methods and technologies used to assist and improve the LLM training process. Today, what we want to share is an article that goes deep into the underlying technology and introduces how to turn a bunch of "bare metals" without even an operating system into a computer cluster for training LLM. This article comes from Imbue, an AI startup that strives to achieve general intelligence by understanding how machines think. Of course, turning a bunch of "bare metal" without an operating system into a computer cluster for training LLM is not an easy process, full of exploration and trial and error, but Imbue finally successfully trained an LLM with 70 billion parameters. and in the process accumulate

Counting down the 12 pain points of RAG, NVIDIA senior architect teaches solutions Counting down the 12 pain points of RAG, NVIDIA senior architect teaches solutions Jul 11, 2024 pm 01:53 PM

Retrieval-augmented generation (RAG) is a technique that uses retrieval to boost language models. Specifically, before a language model generates an answer, it retrieves relevant information from an extensive document database and then uses this information to guide the generation process. This technology can greatly improve the accuracy and relevance of content, effectively alleviate the problem of hallucinations, increase the speed of knowledge update, and enhance the traceability of content generation. RAG is undoubtedly one of the most exciting areas of artificial intelligence research. For more details about RAG, please refer to the column article on this site "What are the new developments in RAG, which specializes in making up for the shortcomings of large models?" This review explains it clearly." But RAG is not perfect, and users often encounter some "pain points" when using it. Recently, NVIDIA’s advanced generative AI solution

AI in use | AI created a life vlog of a girl living alone, which received tens of thousands of likes in 3 days AI in use | AI created a life vlog of a girl living alone, which received tens of thousands of likes in 3 days Aug 07, 2024 pm 10:53 PM

Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. Video link: https://mp.weixin.qq.com/s/2hX_i7li3RqdE4u016yGhQ Recently, the life vlog of a girl living alone became popular on Xiaohongshu. An illustration-style animation, coupled with a few healing words, can be easily picked up in just a few days.

How can concurrency and multithreading of Java functions improve performance? How can concurrency and multithreading of Java functions improve performance? Apr 26, 2024 pm 04:15 PM

Concurrency and multithreading techniques using Java functions can improve application performance, including the following steps: Understand concurrency and multithreading concepts. Leverage Java's concurrency and multi-threading libraries such as ExecutorService and Callable. Practice cases such as multi-threaded matrix multiplication to greatly shorten execution time. Enjoy the advantages of increased application response speed and optimized processing efficiency brought by concurrency and multi-threading.

Application of concurrency and coroutines in Golang API design Application of concurrency and coroutines in Golang API design May 07, 2024 pm 06:51 PM

Concurrency and coroutines are used in GoAPI design for: High-performance processing: Processing multiple requests simultaneously to improve performance. Asynchronous processing: Use coroutines to process tasks (such as sending emails) asynchronously, releasing the main thread. Stream processing: Use coroutines to efficiently process data streams (such as database reads).

Kuaishou Keling AI is fully open for internal testing globally, and the model effect has been upgraded again Kuaishou Keling AI is fully open for internal testing globally, and the model effect has been upgraded again Jul 24, 2024 pm 08:34 PM

On July 24, Kuaishou video generation large model Keling AI announced that the basic model has been upgraded again and is fully open for internal testing. Kuaishou said that in order to allow more users to use Keling AI and better meet the different levels of usage needs of creators, from now on, on the basis of fully open internal testing, it will also officially launch a membership system for different categories of members. Provide corresponding exclusive functional services. At the same time, the basic model of Keling AI has also been upgraded again to further enhance the user experience. The basic model effect has been upgraded to further improve the user experience. Since its release more than a month ago, Keling AI has been upgraded and iterated many times. With the launch of this membership system, the basic model effect of Keling AI has once again undergone transformation. The first is that the picture quality has been significantly improved. The visual quality generated through the upgraded basic model

See all articles