How database optimization affects performance

Several aspects that affect performance

• server
  • hardware
  • software
• database
  • Selection of database storage engine (plug-in storage engine)
  • Database parameter configuration (the impact is far greater than the previous ones)
  • Database structure design and SQL statement

1. Server

• server hardware 
  
  • CPU intensive - does not support concurrent processing of the same SQL by multiple CPUs
  • Concurrency
  • RAM
  • RAID increases the performance of traditional centralized hard drives
  • Summarize 
    • CPU 
      
      • 64-bit CPU must work under 64-bit system
      • For scenarios with high concurrency, the number of CPUs is more important than the frequency
      • For CPU-intensive scenarios and complex SQL, the higher the frequency, the better
    • RAM 
      
      • Select the highest frequency memory that the motherboard can use
      • The size of the memory is important for performance, so make it as large as possible
    • I/O Subsystem 
      
      • PCIe -> SSD -> Raid10 -> Disk -> SAN 
• server system
  • Suitable operating system for MySQL 
  • The impact of the file system on performance

database

• Plug-in storage engine
  • Mysia
  • Innodb
Affects performance
• Excessive anti-paradigm design table
• Too many table associations due to excessive normalization (up to 10)
• Using Inappropriate Partition Tables in an OLTP Environment
• Use foreign keys to ensure data integrity

performance optimization order

• Database structure design and SQL statement
• Database storage engine selection and parameter configuration
• System selection and optimization
• hardware upgrade

Related Links 
: Examples and Stories of Database Optimization

Author: Fufeng 
Blog Park: http://www.cnblogs.com/mylly/ 
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