Cloud database system

Abstract

The invention discloses a cloud database system. The cloud database system comprises two distribution nodes, at least two execution nodes and at least two storage nodes, wherein the distribution nodes and the execution nodes as well as the execution nodes and the storage nodes are connected through a high-speed network; the distribution nodes are used for receiving a request of a client application program, resolving an SQL (Structured Query Language), partitioning an execution plan, distributing the execution plan to the execution nodes and combining execution results; the execution nodes are used for executing the received execution plan and performing data caching management; and the storage nodes are used for providing reading-writing and storing management of data. According to the cloud database system, expandability for coping with a large concurrency amount and a large data volume can be realized on the basis of not changing a design architecture based on the conventional relational data and the access way of the SQL. Extremely high expandability can be realized for application programs on the premise of not making any modification, and the requirement of cloud computation on data access is met.

Description

technical field [0001] The invention relates to a database management system, in particular to a distributed relational cloud database system. Background technique [0002] The traditional relational database system cannot meet the scalability requirements of cloud computing. When the amount of access or data increases, the processing power and storage capacity of the system cannot be expanded by simply adding new nodes. Currently, Sharding (data sharding) and Map-Reduce technologies are generally used to deal with high concurrency and large data volumes. Although these technologies can well solve the scalability of the system when dealing with large concurrency and large data volumes problem, but it requires the application to change the original design architecture and access to data, which is opaque to the application. Especially for existing applications, it is necessary to re-modify the architecture of the application system and the way of data access, which will bring...

AI Technical Summary

Problems solved by technology

[0002] The traditional relational database system cannot meet the scalability requirements of cloud computing. When the access volume or data volume increases, the processing power and storage capacity of the system cannot be expanded by simply adding new nodes.

Currently, Sharding (data sharding) and Map-Reduce technologies are commonly used to deal with high concurrency and large data volumes. Although these technologies can well solve the scalability of the system when dealing with large concurrency and large data volumes problem, but it requires the application to change the original design architecture and access to data, which is opaque to the application

Especially for existing applications, it is necessary to re-modify the architecture of the application system and the way of data access, which will bring great investment and risk, sometimes even impossible

Images