massive games

Preface A few weeks ago, when I first heard about the first two things about Hadoop and MapReduce, I was slightly excited to think they were mysterious, and the mysteries often brought interest to me, and after reading about their articles or papers, I felt that Hadoop was a fun and challenging technology. , and it also involved a topic I was more interested in: massive data processing. As a result, in the recent idle time, they are looking at "Had

This paper is transferred from http://www.cnblogs.com/lovexinsky/archive/2012/03/09/2387583.html. Thank the Author ~ ~ In the actual work environment, many people will encounter massive data this complex and arduous problem, its main difficulties are as follows: One, the amount of data is too large, the data in any situation may exist. If you say there are 10 of data, it's not big enough to check each one, artificial treatment, if there are hundreds o

1th Chapter Introduction With the wide popularization of Internet application, the storage and access of massive data has become the bottleneck of system design. For a large Internet application, billions of PV per day is undoubtedly a considerable load on the database. It poses a great problem for the stability and extensibility of the system. Through data segmentation to improve the performance of the site, the horizontal expansion of the data laye

A massive number of jquery plug-in posts are very classic. I don't know when it will start to spread. I have collected them a long time ago. I posted a copy in the log for convenience of my work. Some of them are no longer accessible, maybe the file is removed or blocked. There is nothing special to say about what we share. We only need to thank the people who have shared it with us. The cat notify reminds everyone to pay attention to the version

Source: http://kb.cnblogs.com/page/54556/ A massive number of jQuery plug-in posts are very classic. I don't know when it will start to spread. I have collected them a long time ago. I posted a copy in the log for convenience of my work. Some of them are no longer accessible, maybe the file is removed or blocked. There is nothing special to say about what we share. We only need to thank the people who have shared it with us. The cat notify reminds eve

The massive data is the development tendency, to the data analysis and the excavation also more and more important, it is important and urgent to extract useful information from massive data, which requires accurate processing, high precision, and short processing time to get valuable information quickly, so the research on massive data is very promising, and it

ArticleDirectory Preface Part 1 and 15 interview questions on massive data processing Part 2: BTI-map for Massive Data Processing Author: Xiaoqiao Journal, redfox66, and July. Preface This blog once sorted out 10 questions about massive data processing (ten questions about massive data proc

Add by Zhj: The good series, the author introduced the NoSQL database, and focused on memcached and Redis, do not know whether there are other NoSQL database articlesA NoSQL tutorial on massive data storage-01 The basic theory of the -02-memcached of the NoSQL tutorial on massive data storage -03_ of the NoSQL tutorial on mass data storage The -04-memcached of the NoSQL tutorial on memcached

Xsolla had a pleasant conversation with Chinese publishers and developers at the gamescom2014 game show in Germany. We have the opportunity to chat with companies from the region looking for new opportunities and markets in Western countries. Among them, the conversation with Elvina Cui from Oasis Games was impressive, discussing the localization of games and the particularity of the game market in non-Engl

In fact, any simple problem, as long as the scale is large, will become a problem, just as China has a large population and many minor problems will become a major problem. However, the method to deal with such massive data is nothing more than divide governance and "Sea of people" tactics. The premise for the use of human-sea tactics is that the problem can be divided to support such human-sea tactics, the means is nothing more than cutting (vertical

Introduce a good book "massive database solutions" Http://www.laoxiong.net/introducing-a-perfect-book.html A few days ago, I received "massive database solutions" from my friend, dbsnake-A database technology book from South Korea, then I threw myself into reading this book with great interest. After reading most of the content, I think it is necessary to write it here and introduce it to you. In fact, befo

Boot Camp Series-the foundation for massive data storageAugust 12, 2015 09:24 Read 16831 As the bottom data and business support Department of Weibo, Weibo platform has experienced 5 years of development. With the growth of data and business explosion, we have encountered many challenges in the storage of massive data, along with the accumulation of rich experience. This boot camp, the audience is the f

High concurrent access and massive data large Web site architecture Technology ListLin Tao posted: 2016-4-19 12:12 Category: WebServer Tags: concurrency, massive data, high concurrency 44 times The challenges of large Web sites come mainly from huge users, high concurrent access and massive data, and any simple business that needs to deal with the number of P-

--sybase vlds (Very Large Data Store) solutions and success stories Mass data is a reality in business today With the improvement of information level, the data has gone beyond its original category, it contains various kinds of data information such as business Operation data, report statistic data, Office document, email, hypertext, form, report and picture, audio and video etc. People use massive amounts of data to describe huge, unprecedented, a

to advise. Thank you. What is mass data processing? The so-called mass data processing, is simply based on the mass of storage, processing, operation. What is massive is that the amount of data is too large, so it is either impossible to quickly resolve in a short time, or the data is too large, resulting in the inability to load memory at once. What about the solution? For time, we can use a clever algorithm with the appropriate data structure, suc

The following method is a general summary of the massive data processing methods. Of course, these methods may not completely cover all the problems, however, such methods can basically deal with the vast majority of problems encountered. The following questions are basically from the company's interview test questions. The method is not necessarily the best. If you have a better solution, please discuss them with me.1. Bloom filterApplicability: it c

Original article: 08. Delete duplicate and massive data There are two types of repeated data: one is a completely repeated record, that is, the values of all fields are the same; the other is a record with some field values repeated. 1. delete completely Repeated RecordsCompletely duplicated data is usually caused by the absence of primary key/unique key constraints.Test data: if OBJECT_ID(‘duplicate_all‘) is not nulldrop table duplicate_allGOcreate

The following method is a general summary of the massive data processing methods. Of course, these methods may not completely cover all the problems, however, such methods can basically deal with the vast majority of problems encountered. The following questions are basically from the company's interview test questions. The method is not necessarily the best. If you have a better solution, please discuss them with me.1. Bloom filterApplicability: it c

Data Structure Application scenarios Example Hash table All key-value pairs must be placed in the memory. The search can be completed within the constant time. L extract the IP address with the most frequent access to Baidu from a logL count the numbers of different phone numbers Heap It takes O (logn) Time to insert and adjust. n is the number of heap elements, and obtaining the heap top element only requires constant time. L calculate the first K of

The following method is a general summary of the massive data processing methods. Of course, these methods may not completely cover all the problems, however, such methods can basically deal with the vast majority of problems encountered. The following questions are basically from the company's interview test questions. The method is not necessarily the best. If you have a better solution, please discuss them with me. 1. Bloom filterApplicability: it