db sharding

Tableruleconfiguration (); Ordertableruleconfig.setlogictable ("T_order"); Ordertableruleconfig.setactualdatanodes ("db${0..2}.t_order_${0..1}");//ordertableruleconfig.setactualdatanodes ("Db0.t_order_0,db0.t_order_1,db1.t_order_0,db1.t_order_1,db2.t_ Order_0,db2.t_order_1 "); //Configure the library policy (Groovy expression Configuration db rule) Ordertableruleconfig.setdatabaseshardingstra

transfer when the partition is inserted more than 1 MB, the default value is 200 MB) mongos -- port 27017 -- configdb 192.168.24.125: 27017 -- chunkSize 1 // log on to the mongos server and add a shard server (allowLocal allows local deployment of Multiple shards, which is not allowed by default) use admin db. runCommand ({addshard: "192.168.24.42: 27017", allowLocal: true}) db. runCommand ({addshard: "192

MySQL table sharding auto-incremental ID Solution After we perform the table sharding operation on MySQL, we cannot rely on the automatic increment of MySQL to generate a unique ID, because the data has been distributed to multiple tables. Avoid using an auto-increment IP address as the primary key as much as possible, which will cause great inconvenience to the database table

Recently, we need to perform table sharding and collect some relevant information to find a series of problems caused by table sharding (such as list display and data search), which are expensive and complex, scalability and later maintainability are also complex! I am afraid to use table sharding. I am thinking about MySQL's built-in partition function. Why not.

From Shard to Sharding The word "Shard" means "Fragmentation" in English. As a database-related technical term, it seems that it was first seen in massively multiplayer online role-playing games (MMORPG) "Sharding" in is called "Sharding ". Sharding is not a new technology, but a relatively simple software concept. As

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 data into different tables according to the specified sub-Library table strategy, we will scan a single table of a library based on the global primary key, which reduces the pressure on the individual librarie

After mysql table sharding, how does one paging the table (160 million tables in total) after mysql table sharding, there are 15 million tables and 160 million data records? How does one paging the table? Previously, we wanted to use union all to merge 160 Table result sets .. However, the data on the direct card is hidden .. What should I do here? Thank you ~~~ Reply to discussion (solution) What are

. 16.0.41: 11733 ', arbiterOnly: true}, {_ id: 2, host: '100. 16.0.25: 11733 ', priority: 2}]} Rs. initiate (config) Start 3 configservers HOST 1 [Root @ mongodb40 ~] #/Home/mongodb/bin/mongod-f/home/config. conf Host 2 [Root @ mongodb41 ~] #/Home/mongodb/bin/mongod-f/home/config. conf Host 3 [Root @ mongodb250 ~] #/Home/mongodb/bin/mongod-f/home/config. conf Start 3 Route Processes HOST 1 [Root @ mongodb40 ~] #/Home/mongodb/bin/mongos-f/home/config/mongos. conf Host 2 [Root @ mongodb41 ~] #/Hom

We know that a large MySQL table with massive records can be divided into several tables based on the primary key, time field, and condition field, or even saved on several servers. The only problem is that cross-server batch query is troublesome and can only be solved through applications. Let's talk about the solutions in Java. The principles of other languages are similar. The table sharding is not a partition of MySQL 5.1, but a table is separate

sharding refers to data fragmentationcluster cluster, a cluster contains multiple shards, each shard consists of a replica setCollection The concept of a table in db, except that there is no schemaEach collection in the sharding scene is divided into multiple chunks,chunk size can be setChunk if it exceeds the set size, it will be split into two,splitting is resp

1. How to understand the definitionIn Chinese, partitioning and sharding all have the meaning of partitioning. On the big side, the actions performed by these two words are really related to partitioning. Partitioning on many occasions is vertical partitioning abbreviation, then naturally, sharding is horizon partitioning. But at this time, two nouns, vertical and horizon, were introduced. What do you do wi

MySQL table sharding Methods: MySQL I. Let me explain why Table sharding is required. When a piece of data reaches several millions, it takes more time for you to query the data at a time. If there is a joint query, I think it may die there. The purpose of table sharding is to reduce the burden on the database and shorten the query time. Based on personal experi

MySQL: open-source database Sharding technology [figure] from Shard to Sharding The word "Shard" refers to "fragmentation" in English. as a database-related technical term, it seems to have been first seen in massively multiplayer online role-playing games (MMORPG. "Sharding" is called "Sharding ".

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 www.2cto.com data segmentation, as the name suggests, that is, data dispersion, data on a single host is distributed among multiple hosts to reduce the load pre

The type of the MongoDB replication cluster built by the MongoDB cluster: · master-slave mode (masterslave) · replica set mode (replicaset). The replica mode has at least three nodes (one master, two slaves ), the slave node is responsible for copying the oplog of the master node The type of the MongoDB replication cluster built by the MongoDB cluster: · master-slave mode (master/slave) · replica set mode (replicaset) replica and mode at least three nodes (one master, two slaves ), the slave nod