| commit | ea8e65b242a30110deadbf703650cf37addbf50e | [log] [tgz] |
|---|---|---|
| author | terrymanu <terrymanu@163.com> | Tue Oct 23 17:46:06 2018 +0800 |
| committer | terrymanu <terrymanu@163.com> | Tue Oct 23 17:46:06 2018 +0800 |
| tree | 4682345c751a7367dfae7758217d6d877f1d8eac | |
| parent | 9bc2b66f9bfc1444022fa08c75bb4ac5838fa9d0 [diff] |
upgrade to 3.0.0
Official website: http://shardingsphere.io/
Sharding-Sphere is an open-source ecosystem consisted of a set of distributed database middleware solution, including 3 independent products, Sharding-JDBC, Sharding-Proxy & Sharding-Sidecar (todo). They all provide functions of data sharding, distributed transaction and database orchestration, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native.
Aiming at reasonably making full use of the computation and storage capacity of database in distributed system, Sharding-Sphere defines itself as a middleware, rather than a totally new type of database. As the cornerstone of many enterprises, relational database still takes a huge market share. Therefore, at current stage, we prefer to focus on its increment instead of a total overturn.
Sharding-JDBC defines itself as a lightweight Java framework that provides extra service at Java JDBC layer. With client end connecting directly to the database, it provides service in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC driver, which is fully compatible with JDBC and all kinds of ORM frameworks.
Sharding-Proxy defines itself as a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Friendlier to DBA, the MySQL version provided now can use any kind of client access (such as MySQL Command Client, MySQL Workbench, etc.) that is compatible of MySQL protocol to operate data.
Sharding-Sidecar (TBD) defines itself as a cloud native database agent of Kubernetes or Mesos environment, in charge of all the access to database in the form of DaemonSet. Through a decentralized and zero-cost solution, it provides a mesh layer interacting with database, i.e., Database Mesh, also referred to as database grid.
Database Mesh emphasizes on how to connect distributed database access application with the database. Focusing on interaction, it effectively organizes the interaction between messy applications and database. The application and database that use Database Mesh to visit database will form a large grid system, where they just need to be put into the right position accordingly. They are all governed by mesh layer.
| Sharding-JDBC | Sharding-Proxy | Sharding-Sidecar | |
|---|---|---|---|
| Database | Any | MySQL | MySQL |
| Connections Cost Number | High | Low | High |
| Heterogeneous Language | Java Only | Any | Any |
| Performance | Low loss | Relatively High loss | Low loss |
| Decentralization | Yes | No | No |
| Static Entry | No | Yes | No |
