The working principle and architecture design of the MEMSQL database

MEMSQL is a distributed memory database management system for high -speed data processing and analysis.It uses the combination of memory storage and hard disk storage to provide low -delayed real -time data processing capabilities and can process massive amounts of data. The basic working principle of MEMSQL can be summarized as the following steps: 1. Data storage: MEMSQL stores data persistently on the hard disk, but at the same time loads data to memory for fast access.Data is organized in a column, which can provide higher compression ratio and query performance. 2. Distributed architecture: The distributed architecture of MEMSQL allows databases at the same time on multiple nodes.Each node stores a subset of data and handles related inquiries.Nodes are coordinated and data synchronization is coordinated through network communication. 3. Data synchronization: MEMSQL uses a technology called "event flow copy". By transmitting modification operations in the form of data flow to all nodes in the cluster, data synchronization is achieved.This replication method guarantees high availability and fault tolerance and ensures the consistency of data. 4. Distributed query processing: MEMSQL uses a distributed query processing engine to distribute the query task to appropriate nodes and merge the results to provide users.The engine can effectively perform combination, aggregation and filtering operations in a distributed environment. An example of programming and related configuration in Memsql is shown below: sql - Create a table to store user data CREATE TABLE users ( id INT PRIMARY KEY, name VARCHAR(50), age INT ); -Stch out the data in the table INSERT INTO users (id, name, age) VALUES (1, 'John Doe', 25), (2, 'Jane Smith', 30); -Find users with less than 30 years of age SELECT name FROM users WHERE age < 30; When configuring MEMSQL, parameters of the number of nodes, memory size, and disk storage capacity can be specified.You can also set the data sharding strategy to determine how to evenly distribute and copy data to different nodes.In addition, performance tuning can be performed, such as setting concurrent connection, query timeout time, etc. In short, MEMSQL realizes high -speed data processing and analysis by using technologies such as distributed architecture and event flow replication by using distributed architecture and event flow.The process of programming and configuration MEMSQL is relatively simple, and developers can set and optimize accordingly according to specific needs.