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Implementation principle of DB database horizontal segmentation-Database Sharding, table sharding, master/slave, cluster _ MySQL

Implementation principle of DB database horizontal segmentation-Database Sharding, table sharding, master/slave, cluster, and server load balancer bitsCN.com Chapter 2 Introduction With the popularization of Internet applications, the storage and

Principles and designs of horizontal database sharding-database sharding, table sharding, cluster, and Server Load balancer

Chapter 2 Introduction When the data volume is huge, the multi-table is first divided into different databases, and then the data is distributed to different databases according to the key columns. After the database is distributed, the system

Problem solving strategy of MySQL database sub-Library sub-table technology

MySQL Database sub-Library sub-table scheme, once the database is too large, especially when the write is too frequent, very difficult to be supported by a host, we will still face the expansion bottleneck. At this point, we have to find other

Discussion on the principle of horizontal segmentation of database, design ideas--database sub-Library, sub-table, cluster, load balancer

This article reproduced: http://www.cnblogs.com/olartan/archive/2009/12/02/1615131.htmlChapter 1th IntroductionWhen the amount of data is large, the multiple tables are divided into different db first, then the data is distributed to different

Data splitting and integration solutions

Use MySQL proxy for data splitting and integration MySQL proxy is a database proxy layer product officially provided by MySQL. Like MySQL server, it is also an open source product based on the GPL open source protocol. It can be used to monitor,

Quick understanding of Docker-container-level virtualization Solutions

Quick understanding of Docker-container-level virtualization SolutionsSimply put , Docker is a lightweight VM solution built on top of LXC , based on process containers (processcontainer) By analogy with the transport of goods in the real world

Large Web site bottlenecks and solutions

Big Web sites are facing problems: Massive data processing The volume of data on a large website can be millions, even tens of thousands or more per day. If there are many-to-many relationships that are poorly designed, there

The realization principle analysis of database horizontal slicing--sub-library, sub-table, master-slave, cluster, load balancer

Chapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is

The realization principle analysis of database horizontal slicing--sub-library, sub-table, master-slave, cluster, load balancer

Chapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is

The realization principle analysis of database horizontal slicing--sub-library, sub-table, master-slave, cluster, load balancer

Chapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is

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