postgresql sharding

Wio bottleneckhttp://www.agildata.com/database-sharding/What Drives the need for Database sharding?Database Sharding is a highly scalable approach for improving the throughput and overall performance of High-transaction, Large Database-centric business applications. Since the inception of the relational database, application engineers and architects have required

above, and Hivedb (http://www.hivedb.org/) is based on the Java implementation, and, slightly different, this project is backed by a commercial company.Pl/proxyThe first few are for MySQL sharding scheme, Pl/proxy is for PostgreSQL, design ideas like Teradata Hash mechanism, the data store is transparent to the client, customer request sent to Pl/proxy, distributed storage Procedure calls, unified distribu

MongoDB Sharding Cluster is a horizontally scalable mode. It is very powerful when the data volume is large. I have been trying to study three roles to build a MongoDB Sharding Cluster: 1. Shard Server: mongod instance, used to store actual data blocks. In the actual production environment, a role of Shard Server can be assumed by one Replica Set of several machines to prevent single point of failure (spof)

Tags: MongoDB understanding shards1. IntroductionIt is a kind of database cluster system that expands the massive data horizontally, the data table is stored on each node of sharding, and the user can easily construct a distributed MongoDB cluster by simple configuration. So first we should understand what is a shard (sharding) and its basic mode of operation.2. What is a shardSharding (

Mycat continuous sharding-) sharding by date (day)1. sharding by date (day) Sharding by date (day): sharding by day from the start dateFor example, from, a shard is generated every 10 days.Note: You must plan and create the shards in advance. Otherwise, the date may exceed t

IP sharding, ip sharding When the data exceeds the maximum byte allowed at the underlying layer (A 1514-byte Ethernet frame, 14-byte Ethernet header, 20-byte IP header, UDP8/TCP20, the maximum size of the IP packet is 1500 = MTU each time. Remove 1472 bytes of UDP valid data from the protocol header, and 1460 bytes of TCP .) Slice the IP address. The maximum IP address allowed by LwIP is determined by the

Border shadow, outline, column sharding, and border shadow profile column sharding This article describes how to add shadow effects to The box-shadow attribute is used to implement layer shadow effects for objects. Box-shadow: Projection Method X axis offset Y axis offset shadow blur radius shadow extended radius shadow color;Projection MethodThis parameter is an optional value. If no value is set, the de

Mycat sharding rule sharding-by-intfile (enumeration)1. Define rule. xml Class = "io. mycat. route. function. PartitionByFileMap"> Type = 0 indicates an integer. Type = 1 indicates the string type. [Root @ host01 conf] # more partition-hash-int-provcode.txt 1 = 0 2 = 1 3 = 2 4 = 3 5 = 4 6 = 5 7 = 0 8 = 1 9 = 2 10 = 3 11 = 4 12 = 5 DEFAULT_NODE = 0 # If the Province match cannot be

Label:This text connection: http://blog.csdn.net/bluishglc/article/details/7696085, reprint please indicate the source! This article focuses on the sharding segmentation strategy, if you do not have a basic understanding of the database sharding, please refer to my other article from the basic theory of a comprehensive introduction to sharding: The fundamental id

Mycat continuous sharding-) custom number range sharding1. Custom number range Partition You can customize the number range sharding and plan in advance which part of a range belongs to the sharding field. For example, you can partition the first million data on the first node, the second million data is sliced on the second node, and so on. 2. Add a configuratio

Mysqlinsertvisitor mysqldeletevisitor mysqlselectvisitor mysqlupdatevisitor OrVisitor Visitor through the Parsecontex did Mergecurrentconditioncontext, Getparsedresult, Visitor also Getsqlbuilder Abstractmysqlvisitor additions and deletions are used to re-implement visit the following types of AST node logic: sqlvariantrefexpr,sqlexprtablesource,sqlpropertyexpr, sqlbinaryopexpr,sqlinlistexpr,sqlbetweenexpr SQLVARIANTREFEXPR The question mark placeholder in sql: This named parameter xxx, @max_o

Integer sharding problem _ C ++, integer sharding _ c I. Problem background Integer splitting refers to dividing an integer into the sum of several integers. For example, 3 = 2 + 1 = 1 + 1 + 1. We think that 2 + 1 and 1 + 2 are the same split. Ii. Definition In the integer n split, the maximum number of splits is m. Let's note that the number of splits is f (n, m) That is, n = x1 + x2 +... + XK-1 + xk, arbi

Php array merging and sharding instance analysis, array sharding instance analysis This article describes how to merge and split php arrays. Share it with you for your reference. The details are as follows: I hope this article will help you with php programming.

Mycat database sharding Rules auto-sharding-long1. Define rule. xml Class = "io. mycat. route. function. AutoPartitionByLong"> [Root @ host01 conf] # more autopartition-long-userid.txt # Range start-end, data node index # K = 1000, M = 10000. 0-1000 = 0 1001-2000 = 1 2001-3000 = 2 3001-4000 = 3 4001-5000 = 4 5001-6000 = 5 2. schema. xml configuration file

Mycat sharding rule sharding-by-murmurThe murmur algorithm hash fields and distribute them to different databases. The field types support int and varchar.1. rule. xml Class = "io. mycat. route. function. partitionbymurhash"> The number of virtual nodes is 160 times the number of physical nodes --> Enter the value in the format, starting from 0 to count-1, that is, the node inde

Mycat sharding rule sharding-by-date1. rule. xml The part date starts from January 1. 2. schema. xml N1 "/> --> WriteType = "0" dbType = "mysql" dbDriver = "native" switchType = "1" slaveThreshold = "100"> Password = "mysql"> 3. Create a table Create table 'tb _ user_shardingbydate_t '( 'Id' varc

1. Download the source code $ mkdir /usr/downloads$ wget -c http://cn2.php.net/distributions/php-5.6.20.tar.gz$ tar -xvf php-5.6.20.tar.gz$ mv php-5.6.20 /usr/local/src$ cd !$ cd php-5.6.20 2. Read the installation Instructions $ ls -also$ less README$ less INSTALL 3. Installing dependent Packages $ yum install apr apr-util apr-devel apr-util-devel prce lynx 4. Installing httpd $ wget -c http://apache.fayea.com//httpd/httpd-2.4.20.tar.gz$ tar -xvf httpd-2.4.20.tar.gz$ cd httpd-2.4.20$ ./config

1. jdbc as a starting point 1.1 re-implemented several JDBC interfacesImplement Javax.sql.DataSource Interface ShardingdatasourceImplement Java.sql.Connection Interface ShardingconnectionImplement Java.sql.Statement ShardingstatementImplement Java.sql.PreparedStatement ShardingpreparedstatementImplement Java.sql.ResultSet AbstractshardingresultsetThe re-implemented pattern is the adapter patternSee the following mind map for specific implementation analysis1.2 Processing of aggregation compariso

sharding scheme, Pl/proxy is for PostgreSQL, design ideas like Teradata Hash mechanism, the data store is transparent to the client, the customer request sent to Pl/proxy, by the distributed storage Unified distribution of the process calls. Pl/proxy is designed to act as a "data bus" in this layer, so when the throughput is not supported, you only need to add more Pl/proxy servers. The famous Skype for us

The MongoDB version used in this article is 2.4.6, which uses the following deployment architecture for testing and not for the online environment. The following tests are all done on this machine, and the on-line environment requires separate deployment for each component.650) this.width=650; "Src=" Http://docs.mongodb.org/manual/_images/sharded-cluster-production-architecture.png " alt= "Diagram of a sample sharded cluster for production purposes. Contains exactly 3 config servers, 2 or more "