db sharding

The amount of data in a table in the database is large at work, which is a log table. Under normal circumstances, there will be no query operations, but if there is not much data in the table sharding, the execution of a simple The amount of data in a table in the database is large at work, which is a log table. Under normal circumstances, there will be no query operations, but if there is not much data in the table

(except for extreme customers), but the read library differs from business to There may be many indexes to meet the needs of a variety of queries and simple statistical summary reports.Is it necessarily more important to write a library than to read a library? Yes, it's not. is absolute, not relative. Because the read library is not a DSS library, it is a relatively non-critical business function in the trading library. Therefore, once the library is hung up, it will lead to the business does n

admin Switched to db admin > Db. runCommand ({addshard:"10.10.21.163: 27018"}); {"OK": 0,"Errmsg":"Host already used"} > Db. runCommand ({addshard:"10.7.3.228: 27018"}); {"ShardAdded":"Shard0001","OK": 1} > Db. runCommand ({enableSharding:"Test"}) {"OK": 1} > Db. ru

between the slice and the route. They are independent. Add the slice in the following step. 5. log on to the cmd command terminal and run the following statements to connect the client to mongos. Use admin to connect to mongos. 6. Run the addShard command to add shards. The command is as follows: add shards for ports 2006 and. 7. Add a data set for the parts and test the parts. 1. Set the name of the set database to blog. Use the following statement to enable the

table that activates the TEST-DB database, using key is the column with the indexed _id. After Setup, you can switch to test-db and see the status of the Usertest table. Use the command: Use test-db; Db.usertest.stats () Because there are too many content, it is not listed here. The article to which all the configurations have been turned out, this MONGO Shard

seen that he has not been fragmented:>db.users_2.stats () {"NS": "Test.users_2","Sharded":false,"PRIMARY": "shard0000","NS": "Test.users_2","Count": 500000,"Size": 48000016,"Avgobjsize": 96.000032,"Storagesize": 61875968,"Numextents": 11,"Nindexes": 1,"Lastextentsize": 15001856,"Paddingfactor": 1,"Flags": 1,"Totalindexsize": 20807680,"Indexsizes" : {"_id_": 20807680},"OK": 1}View CodeTo fragment the process:> Use adminswitched to DB admin> Db.runcomm

the ip address and port set in config. -ChunkSize: the default Host size is 200. We can set it to 100 or 100 MB. If the process runs smoothly, you can see the processes running on the two mongo in 117, and run the command: ps-ef | grep mong. Indicates that the mongo multipart installation is complete. Configure mongo shards as follows: Connect to the database: /usr/local/mongodb-3.0.4/bin/mongo 192.168.6.117:30000/admin Note: The following operations are completed under the mongo command lin

One way to operate mysql table sharding in php is generally to consider Table sharding or partition when the data in our database exceeds records. This time I will introduce in detail some table sharding methods. First, we need to think about the number of tables to be divided, provided that the application is satisfied. Here I use a simple table

Hello everyone, github.com/tuohai666 (the sea) today to share the Sharding-sphere launched by the blockbuster products: sharding-proxy! In the previous Sharding-sphere 3.0.0.M1, the first release of the Sharding-proxy, the new product in the end? This hope through a few optimization practice, let everybody glimpse, fro

Knowledge Point: mongoDB Sharding is an automatic data Sharding. Data is automatically migrated in different data servers. The migration trigger conditions include the data volume and access traffic. 1. Create a sharding cluster in two parts: one is to start the corresponding mongoDB service, and the other is to decide how to split the data. 2. A

usually used at least in the form of a library to solve the problem of large data volume and high concurrency. This is also part of the open source Shard database middleware support only the reason for the sub-Library. But the sub-table also has an irreplaceable application scenario. The most common table requirements are transaction issues. The same library does not need to consider distributed transactions, good at using the same library table can effectively avoid the problem of distributed

/mongodb/logs/a1/ Mongodb.log # Where and how to store data. Storage: dbPath:/usr/local/mongodb/db/a1 Journal: enabled:true # Engine: # MMAPV1: # Wiredtiger: # How the process runs # fork:fork and run in background # Pidfilepath:lo cation of Pidfile processmanagement: fork:true Pidfilepath:/usr/local/mongodb/pidfile/ Mongod-a1.pid # Network Interfaces # Listen to local interface only, comment to Listen on all interfaces. NET: por

Tags: demo when closed opened Res sync Tor share stateSmall series in doing SHARDING-JDBC today, there are some problems, on the Internet Bai, found on-line SHARDING-JDBC reference is very little, alas or to continue to learn to read the document.SHARDING-JDBC IntroductionSHARDING-JDBC is a database horizontal extension framework that is separated from the relational database module DD-RDB in the applicatio