dynamic sharding

first, why to use sharding In today's Internet enterprise, the multiplication of data is a very troublesome problem. Because more data is stored in a table in a database, the slower the data is for database operations. However, if we divide the

MongoDB BASICS (9) sharding and mongodb Basics Sharding stores data on multiple servers. Mongodb uses sharding to support deployment of very large datasets and high throughput operations. The capabilities of a single server are limited in various

The latest version of the 2.0 version of SHARDING-JDBC, due to the need to support dynamic configuration loading, so the latest module information is as follows:|-sharding-jdbc |-sharding-jdbc-core |-api |-constant

Review:1: Analysis of QBlog technology principles in the autumn Garden: Opening part: Overall understanding (1) -- Introduction of the role of the entire folder and file 2: Analysis of QBlog technology principles in the autumn Garden: understanding

The latest version of the 2.0 version of SHARDING-JDBC, because of the need to support dynamic configuration loading, so the latest module information is as follows: |-sharding-jdbc |-sharding-jdbc-core |-api |-constant |-

Ideas: 1. Read the database sharding and table sharding policies completely. Note the differences between database sharding and table sharding and write Reading Notes. 2. Test the source code of the ibatis + spring2.0-based sub-database. Pay

As the volume of MONGODB data increases, it is possible to limit the storage capacity of a single node, and application a large number of accesses can also cause a single node to fail, so a clustered environment needs to be built and the entire

If MongoDB is just a document-type database, there is no bright spot, however MongoDB's greatest advantage is read-extended, hot-backup, failback, and Auto-sharding (write extension). This section of the series to the end of the introduction of

Distributed Database computing involves distributed transactions, data distribution, and data convergence computing. distributed databases require high security, performance, and availability, of course, it also brings about a high cost (fixed cost

MongoDB Auto-sharding solves the problem of mass storage and dynamic capacity expansion, but there are some distances from the high reliability and high availability required for the actual production environment, so there is a "Replica sets +