Huawei's 18-level expert has more than 700 pages of MySQL database performance tuning and architecture design manual!

The notes are divided into 2 subsections, namely:

1. Performance tuning
2. Architecture design

 

Performance tuning

Factors affecting MySQLServer performance

1. The impact of business requirements on performance
2. The impact of system architecture and implementation on performance
3. The impact of Query statement on system performance
4. Schema design affects system performance
5. The impact of hardware environment on system performance

 

MySQL database locking mechanism

1. Introduction to MySQL Locking Mechanism
2. Analysis of various locking mechanisms
3. Reasonable use of lock mechanism to optimize MySQL

 

Optimization of MySQL database query

1. Parse MySQL's QueryOptimizer
2. Basic ideas and principles of Query statement optimization
3. Make the most of Explain and Profiling
4. Design and use indexes appropriately
5. The realization principle and optimization ideas of Join
6. ORDERBY , GROUPBY and DISTINCT optimization

 

Schema design performance optimization ideas

1. Build efficient model design
2. Use the right data type
3. Canonical object naming

 

MySQLServer performance optimization

MySQL installation optimization

Log setting optimization

QueryCache optimization

Server other common optimizations

 

Common storage engine optimization

MyISAM storage engine optimization

Innodb storage engine optimization

 

Architecture design

Basic principles of scalable design

1. Scalability
2. Principle of Minimizing Transaction Relevance
3. Data consistency principle
4. High availability and data security principles

 

MySQLReplication scalability design

1. The significance of Replication for scalability design
2. The realization principle of Replication mechanism
3. Replication thread
4. Copy implementation level

 

Data segmentation

1. Vertical segmentation of data
2. Horizontal segmentation of data
3. Vertical and horizontal joint segmentation using
4. Data segmentation and integration solution
5. Potential problems in data segmentation and integration

 

Analyze the use of Cache and Search

1. Extend beyond the database of scalable design
2. Reasonable use of third-party Cache solutions
3. Implement  Cache service by yourself
4. Use  Search to achieve efficient full-text search
5. Using distributed parallel computing to achieve high-performance computing with large amounts of data

 

Deep understanding of MySQLCluster

1. MySQL Cluster environment setup
2. Basic management and maintenance of MySQL Cluster
3. Basic optimization ideas

 

Ideas and solutions for high-availability design

1. Use  Replication to achieve high availability architecture
2. Master-Slave solves the basic master-slave  design
3. Master single point problem solving
4. Use  DRBD to ensure high security and reliability of data
5. Other high-availability design solutions
6. Comparison of the pros and cons of various high-availability solutions

 

MySQL monitoring design

1. Monitoring system design
2. Performance status monitoring

 

collection method

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