![]() ![]() Update and Delete are similar to create and queryĭb.Exec( "UPDATE orders SET product_id = ? WHERE user_id = ?", 2, int64( 3))Įrr = db.Exec( "DELETE FROM orders WHERE product_id = 3").Errorįmt. import (ĭsn := "postgres://localhost:5432/sharding-db?sslmode=disable"ĭb, err := gorm.Open(postgres.New(postgres.Config).Where( "product_id", "1").Find(&orders).Error The build-in sharding feature in PostgreSQL is using the FDW based approach, the FDW’s are based on sql/med specification that defines how an external data source can be accessed from the PostgreSQL server. Allows you custom the Primary Key generator (Built in keygen, Sequence, Snowflake …).Ĭonfig the sharding middleware, register the tables which you want to shard.PostgreSQL tested, MySQL and SQLite is coming. PL/Proxy is a PostgreSQL procedural language (PL) handler that allows to do remote procedure calls between PostgreSQL databases, with optional sharding. Sharding allows the table to be partitioned in a way that the partitions live on external foreign. No network based middlewares, as fast as Go. Sharding is the ability to partition a table across one or more foreign servers, with declarative partitioning as show above the table can partitioned into multiple partitioned tables living on the same database server. ![]() Load the plugin, specify the config, and all done. When implementing sharding, you can basically choose between two strategies: Rely on some framework or middleware Rely on PostgreSQL's means to solve. Give you a high performance database access. Sharding plugin using SQL parser and replace for splits large tables into smaller ones, redirects Query into sharding tables.
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