db sharding

Author: skateTime: 2013/05/14 MySQL table sharding principles When using MySQL in large quantities and with high data access, we will introduce the MySQL sharding standards to improve the performance of table sharding. Environment:Business type: OLTPHardware:CPU: 8 CPU 2.4 GHzMem: 48 gbDisk: RAID 5 6 × SAS What types of tables need to be split: whether the tabl

Document directory MVCC Horizontal scalability Query expression Atomicity Durability Map reduce Javascript Rest Performance Use Cases Http://www.mongodb.org/display/DOCS/Comparing+Mongo+DB+and+Couch+DB, English Http://www.searchdatabase.com.cn/showcontent_46595.htm (Chinese) The most fundamental difference is that the difference in application scenarios is the difference in the choice of CAP.

Mysql knowledge extension-database/table sharding bitsCN.com Mysql knowledge expansion-database/table sharding MySQL Internet Oracle enterprise application data structure. database replication can solve the access problem and cannot solve the large-scale concurrent writing problem. to solve this problem, we need to consider that mysql data is split into data partitions. as the name suggests, data is scatter

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

partitioning Manual partitioning means to manually split and migrate the blocks of the online sharding cluster. Generally, the larger the number of write shards, the larger the number of shards. The movechunk command is also helpful in this case. 3. Add a shard Sh. addShard ("computername: port ") To increase the capacity in this way, pay attention to the time it takes to migrate data to the new shard. The estimated migration speed is 100 to per minu

Analysis of table sharding Technology in MySQL * 1. Case Description In the intelligent transportation project, as the number of vehicles in cities increases rapidly, the unlimited growth of the master table will inevitably affect system performance. To keep the database in good performance, we need to adopt the table sharding mechanism. First, you need to understand the benefits of table

System Environment: Centos 6.5Official manual:http://docs.mongodb.org/manual/See the information: MongoDB authoritative guide"MongoDB Combat" "deep learning mongodb"650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M02/47/BD/wKioL1P_H0fj-HlSAAEqqyVR3Fo773.jpg "title=" 1.png " alt= "Wkiol1p_h0fj-hlsaaeqqyvr3fo773.jpg"/>As can be seen from the official topology above, sharding cluster members are composed of Shard,configserver,RouterShard: Can be a

找到相应数据所在的位置是我们需要关心的。?常用的路由策略有：?1.?按号分段：? ?user_id为区分，1-1000对应DB1，1001-2000对应DB2依次类推? ?优点：可部分迁移? ?缺点：数据分布不均?2.hash取模? ?对user_id等字段进行hash值计算后取模。比如应用中分为4个库的话，对hash(user_id)%4为1的对应DB1,为2的对应DB2,为3的对应DB3,为0? ?的对应DB4? ?优点：数据分布均匀? ?缺点：迁移麻烦，不能按照机器性能分摊数据Common design options:?1.提供分库规则和路由规则?2.引入集群，保证数据的可用性?3.引入负载均衡?4.引入集群节点探测?5.引入读写分离Provision of library rules and routing rules introduction of clusters to ensure data availability introduction of read/write separation?采用数据库切分方案后，由N台数据

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

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

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

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