db sharding

Http://stackoverflow.com/questions/5541421/mysql-sharding-approaches Http://www.oschina.net/search? Scope = blog q = Sharding Http://gigaom.com/2011/12/06/facebook-shares-some-secrets-on-making-mysql-scale/ Http://dbanotes.net/database/database_sharding-2.html Https://blogs.oracle.com/MySQL/entry/scaling_web_databases_auto_sharding Auto-Sharding MySQL Cluster

This paper mainly introduces a high availability scheme of Redis cluster through Jedissentinel, this scheme needs to use Jedis2.2.2 and above (mandatory), Redis2.8 and above (optional, Sentinel first appeared in the Redis2.4, Redis2.8 Sentinel more stable, Redis cluster is a shard (sharding) plus master-slave way to build, to meet the requirements of scalability;About Redis SentinelRedis Sentinel is the official Redis Cluster management tool with thre

The purpose of cluster sharding is to provide a framework to facilitate DDD, although I have not yet figured out what the application of DDD is, but cluster sharding is a tool that I am currently working on to extend the project to the cluster.Sharding to do such a few things.1. For each entity, create an actor. The entity has an Id as the unique identifier. All messages for this entity are handled by this

First, the basic ideaThe basic idea of sharding is to split a database into multiple parts onto different databases (servers). This can alleviate the performance problem of a single database. Less strictly speaking, the database of large amounts of data, if it is because of many tables and more data, it is appropriate to use vertical segmentation, that is, closely related (such as the same module) of the table is sliced out on a server. If there are

Mysql table sharding is a key technology in Mysql databases. The concepts and usage of Mysql table sharding are described in detail below. If you are interested in this, take a look. First, we need to know why Mysql table sharding is required. What are the advantages of Mysql table sharding. Let's take a look at the SQ

How to split and manage posts? Path: [background] [webmaster] [Post table sharding] 1. before sharding a post, you must first close the site, to prevent problems during table sharding, you must back up the database before performing this operation. 2. forum_post (main table) must retain MB of data. the first time you access the Post table

DemandSub-Library by line of business ID, one library per line of business.Sql-- 建立112业务线库create database sharding_112 ;-- 在112业务库里建立 t_order表CREATE TABLE `t_order` ( `order_id` int(11) NOT NULL, `user_id` int(11) NOT NULL, `business_id` int(4) DEFAULT NULL, PRIMARY KEY (`order_id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8 ;-- 建立113业务线库create database sharding_113 ;-- 在113业务库里建立 t_order表CREATE TABLE `t_order` ( `order_id` int(11) NOT NULL, `user_id` int(11) NOT NULL, `business_id` int(4) DEFAU

": "shard0000", "OK": 1} Mongos> Sh.addshard ("192.168.1.102") {"shardadded": "shard0001", "OK": 1}View Shard Status:Mongos> sh.status () ---sharding status--- sharding version: { "_id": 1, "version": 4, "MincoMpatibleversion ": 4, " CurrentVersion ": 5, " Clusterid ": ObjectId (" 58d4bd8a102ad4bdad74aa1d ") } Shards: {"_id": "shard0000", "host": "192.168.1.101:27017"} {"_id": "shard0001", "host": "192.168.

Label:Part I: Implementation strategy Figure 1: Database sub-list (sharding) Implementation strategy diagram (click to view the larger image) 1. Preparation PhaseBefore the database is partitioned into tables (sharding), it is necessary for developers to fully understand the system business logic and database schema. A good suggestion is to draw a database ER diagram or domain model diagram that is based

Tags: ima tables table dao ble conf mit lsh exceptionRecently busy project has been a long time no blog, the first 2 articles I gave you to build the foundation Springmvc+mybatis MAVEN Project, this simple framework has been able to deal with the general small projects. But there are many complex scenarios in our actual project, such as how to ensure performance when the data is very large. Today I will introduce to you the database sub-list optimization, this paper introduces MyBatis combined w

Tags: add shard service process HTTP images cli. com str1. Concept Sharding (sharding) refers to the process of splitting data and dispersing it across different machines. This concept is sometimes represented by partitioning (partitioning). Spread the data across different machines without the need for powerful mainframe computers to store more data and handle more load. 2.

If there is a user table, the data volume is large, and the table needs to be split. Perform table sharding based on the user ID, and store the remaining 10 objects. But now I have some concerns. When a user logs on, they cannot query 10 tables. Do you have any good suggestions or ideas? Let's discuss them, learn from each other, and join each other... if there is a user table, the data volume is large, and we need to split the table. Perform table

Part I: implementation strategy Figure 1. Database Sub-Library (sharding) Implementation strategy diagram (click to view larger image) 1. The preparatory phaseBefore the database is divided into tables (sharding), developers are required to have a thorough understanding of the system business logic and database schema. A good suggestion is to draw a database ER diagram or domain model diagram, which is

The difference between Mycat and SHARDING-JDBC 1) Mycat is a third-party application of middleware, SHARDING-JDBC is a jar package 2) You do not need to change the code when using Mycat, and you need to modify the code when using SHARDING-JDBC Mycat (proxy middleware layer ): SHARDING-JDBC (Tddl for the application la

Label:This paper focuses on the basic ideas of sharding and the theory of the segmentation strategy, about more detailed implementation strategies and reference examples please refer to my other blog post: Database sub-list (sharding) series (a) split implementation strategy and sample demonstration First, the basic idea The basic idea of sharding is to reduce t

Regarding sphinx's table sharding process, I have the following questions: 1. For vertical table sharding, SQL _query directly uses join queries. But some people say this is not efficient and the indexing speed is slow? Some people say that it will not affect the efficiency. You can directly use join to solve the problem and want to explain the cause. 2. For horizontal table

Abstract: This article introduces two global ID generation solutions for the Distributed Environment. Directory: 1. database auto-increment ID-solution from Flicker2. independent applications-solutions from Twitter In large Internet applications, as the number of users increases, we often need to perform database/table sharding for databases to improve application performance. In the single table era, we can rely solely on the auto-increment ID of the

In the MSSQL Stored Procedure, table sharding is implemented to store table sharding queries and improve query efficiency. Table sharding and table sharding for some fixed data can greatly improve the query performance. This is already accepted. The following describes how to implement it in the storage process. If you

Skip the theory. I have introduced automatic sharding on the internet... directly go to the configuration. Please leave a message if you have any questions. Or test with million data Insert million pieces of data to a database without sharding. Data storage: ^_^[root@:/usr/local/mongodb/data/mongodb/test]#ls-lh total4.0G -rw-------1rootroot64MJul2511:25test.0 -rw-------1rootroot128MJul2511:22test

1. When to enable multipart? A: Although parts are powerful, they also require more hardware and more complex configurations. The idea of using sharding should be that you would rather not use it. However, you must be prepared in advance. Don't start to think about it when it's too late, because there is not much time to think about it at that time. If the application still needs to use parts at the end of the process, you should first consider which