![]() The insert/select to the logical table on ShardingSphere can effectively operate the tables on the underlying Aurora clusters. More specifically: t_order_0 and t_order_3 in cluster 1, t_order_1 and t_order_4 in cluster 2 and t_order_2 and t_order_5 in cluster 3. MySQL > CREATE TABLE `t_order` ( `order_id` bigint NOT NULL, `user_id` int NOT NULL, `status` varchar(45) DEFAULT NULL, PRIMARY KEY (`order_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4Ĭonnecting to each of the three Aurora clusters, we find that two tables are created on each of the underlying database clusters for a total of six tables, which are sorted by the table names in the t_order_ numbers. Create a DatabaseĬonnect to ShardingSphere-Proxy to create a database as a logical distributed database: ShardingSphere-Proxy supports two methods to create sharding rules and read/write splitting rules: YAML and DistSQL.ĭistSQL extends the SQL syntax and supports creating data sources online, and creating and modifying table creation rules, which is more flexible. ![]() In the next sections, let’s look at ShardingSphere-Proxy’s connection to Aurora from several aspects: ShardingSphere-Proxy starts to parse/rewrite/route SQL through sharding core functions to backend Aurora databases and combines the results to reply the request.ShardingSphere-Proxy has provided the solution of Zookeeper by default, which implements the functions of config center and registry center.All incoming requests to ShardingSphere-Proxy will be received by the Network Load Balancer.The architecture diagram above displays the deployment and network connection for ShardingSphere-Proxy and Aurora clusters in a customer-managed VPC: You can refer to the latest ShardingSphere-Proxy document for more information.ĭeploying ShardingSphere-proxy and Amazon Aurora in your AWS account with the following architecture is recommended.įigure 1 – ShardingSphere-Proxy and Aurora deployment. ShardingSphere-Proxy supports most MySQL syntax with only a few exceptions of optimizing table, resource group management, user creation and GRANT permission management. ShardingSphere-Proxy embeds the connection pool to connect underlying databases, and supports multiple connection pool implementations like Hikari, a widely used connection pool with low performance loss and adopted by SpringBoot as the default connection pool. The sharding and read/write splitting capability supports connecting to different databases which can be homogeneous or heterogeneous. ShardingSphere-Proxy is transparent to applications and compatible with MySQL and PostgreSQL clients. The commercial edition provides additional data security and data sharding features from AWS Partner SphereEx, which was founded by the core team of Apache ShardingSphere. This post focuses on how to use ShardingSphere-Proxy to build database clusters, covering aspects such as sharding, read/write splitting, and dynamic configuration.Īpache ShardingSphere is an ecosystem of open-source distributed database solutions, including JDBC and Proxy products, which can be deployed either independently or in combination. It can help you achieve this by separating the complex configuration relationship between the application and multiple underlying Aurora clusters. ShardingSphere-Proxy includes features for sharding, read/write separation, and dynamic configuration. However, customers may need further extend the scalability of OLTP database such as supporting data volume more than 128 TiB, or supporting more concurrent writes and you may expect little overhead to the application. It supports up to 15 replicas and read replicas auto scaling, and provides a multi-primary architecture with up to four read/write nodes.Īmazon Aurora Serverless v2 allows vertical scaling and and can scale database workloads to hundreds of thousands of transactions in a fraction of a second, while Amazon Aurora Global Database enables a single database cluster to span multiple regions with low latency.Īurora already provides great scalability with the growth of user data volume and workloads. Database Solutions Architect – AWSīy Wenjing Hu, Partner Solutions Architect – AWSĪmazon Aurora is a relational database management system (RDBMS) developed by Amazon Web Services (AWS) that gives you the performance and availability of commercial-grade databases with full MySQL and PostgreSQL compatibility.Īurora supports up to 128 TiB of storage and storage dynamic resizing as your data changes.
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