db sharding

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 access of massive data has become the bottleneck of system design. For a large Internet application, billions of PVS p

The biggest feature of sharding database is that it can be scaled horizontally. However, horizontal scaling is not a horizontal extension of the RAC, and pure sharding DB does not have an HA schema. That is, a shardcat db, multiple Shard node db. No matter who is down, it wi

relatively simple software concept. As we all know, the Data Table Partitioning function was available only after MySQL 5. Before that, many potential mysql users had concerns about MySQL scalability, whether the partition function is available is a key indicator (of course not the only indicator) for measuring the scalability of a database ). Database scalability is an eternal topic. MySQL promoters are often asked: How does one implement partitioning to process application data in a single da

single table, so why not try horizontal segmentation? 3. MySQL horizontal Sharding) This is a good idea. Users are grouped by certain rules (by id hash), and the data of this group of users is stored in a database Shard, that is, a sharding, in this way, as the number of users increases, you only need to simply configure a server. The schematic diagram is as follows: How to determine the shard where a use

The original connection cannot be opened. 1. Beautiful blueprint When I first came into contact with MongoDB, I saw its auto-sharding function diagram. In combination with the replica sets, I felt like a unified world. BOTH: In the figure, the shard machine mongos can have multiple nodes, and the config machine can be configured as master-slave or replica sets. Each sharding node is a replica set composed

, the unit of month for database sharding, the table named 'product _ price2014-07-20 'table format: the first is the name of the original database table, followed by the date (year-month-day ). The code for creating a database and a table is as follows: Function get_product_price_table () {$ db_info = array (); // This month $ newmot_time = date ("Y-m "); // today's date $ newday_time = date ("Y-m-d"); // this month's database, today's table $ db_na

MYSQL database data splitting-database/table sharding summary, mysql database sharding Data storage evolution 1: single database, single table Single Database, single table is the most common database design. For example, if a user table is stored in the database, all users can find it in the user table in the database. Data storage evolution concept 2: single database, multiple tables As the number of user

/mongo/shard1/data0/mongo/shard2/data0/mongo/config Then we start with two mongod processes in turn as Shard, a mongod process as Config Server, and a mongos process as routing processes: sudo mongod--port 27017--fork--logpath/var/log/mongo_shard1.log--dbpath/data0/mongo/shard1--shardsvr sudo mongod--port 27018--fork--logpath/var/log/mongo_shard2.log--dbpath/data0/mongo/shard2--shardsvr sudo mongod--port 27217--fork--logpath/var/log/mongo_config.log--dbpath/data0/mongo/config--configsvr sudo mon

Why table sharding and database sharding: when the data volume and access volume of our data tables are large or frequently used, a data table cannot afford such a large amount of data access and storage, to reduce the burden on the database and accelerate data storage, You need to divide a table into multiple tables and store a type of data into several different tables. Why table

Mysql table sharding method ----- MRG_MyISAM engine table sharding method generally, when the data in our database exceeds records, we should consider table sharding or partition. this time I will detail some table sharding methods. Currently, all the methods I know are MYISAM. I do not know much about how INNODB perfo

, sharding does not know the physical table name Sqlorderby Similar to sqlaggregateexpr processing the order by insert logical processing of the sub-database table is mainly to analyze what sort form is which column (support multiple columns) and then throw into Parsecontext mergecontext mysqlselectgroupbyexpr treatments like sqlaggregateexpr, Sqlorderby mysqlselectqueryblock.limit Dealing with Parsecontext's mergecontext is similar to sqlaggre

Mysql database sharding application scenarios and design methods, mysql database sharding Many of my friends asked me in the Forum and in the message area when mysql was required to perform database/table sharding and what design method was the best choice. Based on these questions, I have compiled examples of MySQL database/table

Tags: blog http ar os using SP Java Data divWhen the team of the system business and the database has been carefully combed, determined the segmentation scheme, the next problem is how to achieve the segmentation scheme, at present, there are many open source framework and products for reference in Sharding, at the same time many teams will choose to self-development implementation, regardless of the choice of framework or self-development, Will face

W smash a single database on a single server into a single database on multiple servershttp://www.agildata.com/database-sharding/Database Sharding provides a method for scalability across independent servers, each with their own CPU, memory and disk. Contrasted with other traditional methods of achieving greater database performance, it does no suffer from many of the T Ypical limitations posed by these and

The original Article connection: http://blog.csdn.net/bluishglc/article/details/7696085, reproduced please indicate the source! This article focuses on sharding policies. If you do not have a basic understanding of database sharding, please refer to my other article about sharding from the basic theory: basic ideas and shardi