postgresql sharding

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 aspects, such as CPU, IO, RAM, and storage space. To solve the expansion problem, the database provides two methods:

Mysql database/table sharding bitsCN.com Mysql database/table sharding Table Sharding is a good way to distribute database pressure. Table sharding refers to dividing a table structure into multiple tables, which can be stored in the same database or in different databases. Of course, you must first know under what c

skype. Although plproxy can only do horizontal sharding, put it here. Plproxy is a database component developed by skype. During use, you need to consider bandwidth and local cache. It limits the number of proxy databases to the power of 2. Proxy implements the forwarding function on user-defined functions. This requires that a large number of business logic needs to be put on the PostgreSQL server end in

Tags: dynamic execution version of merge write core module boot util executorThe 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 |-exception |-executor |-hin

Transferred from:http://blog.csdn.net/bluishglc/article/details/6161475This paper mainly introduces the basic idea of sharding and the theory of slicing strategy. For more detailed implementation strategies and references please refer to my blog: Database sub-list (sharding) series (i) Split implementation strategy and demo sample DemoFirst, the basic ideaThe basic idea of

What is Database Sharding technology bitsCN.com? What is Database Sharding technology? I. Overview Table Sharding is a popular concept, especially in the case of large loads. table Sharding is a good way to distribute database pressure. First, you need to understand why table

The granularity of vertical sharding means that several levels of associated tables are allowed to be placed in a shard when vertical sharding is performed. This problem has a great impact on the application and sharding implementation. The more disconnections, the more affected join operations, the larger the application's compromise, but the simpler the routin

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 dataset split into smaller chunk through sharding scenarios , and distributed on multiple MONGOD nodes in the cluster, and finally achieves the function of storage and load capacity expansion and pressure shunt

In the previous two blogs, we elaborated on the working principle and building process of the sharded cluster. In this blog, we mainly analyze the testing results of the sharded cluster. First, we can see that the replica Set A and B are normal: 1. Enable the sharding set to enable the sharding of a database. This is a prerequisite for sharding of any set. In the

This is related to mysql table sharding. my table has 230 fields (the content is not much, and there are less than 20 thousand records), which has a huge impact on the web browsing speed. Recently, we have considered table sharding, my understanding of table Sharding is to split many fields in a table into two or more tables. However, I see a lot of information o

What is database/table sharding technology I. Overview table sharding is a popular concept. Especially under heavy load, table sharding is a good way to distribute database pressure. First, you need to understand why Table sharding is required. What are the benefits of table shardi