The previous article focused on database indexes. Today I will talk about common database optimization.
Database optimization is an important work to improve database performance and response speed. Here are some common database optimization tips:
Index optimization: Using appropriate indexes can greatly improve query speed and performance. Make sure that the data columns that need to be queried in the table have corresponding indexes, and avoid using wildcards or fuzzy queries in the query.
Database architecture optimization: rationally design the database architecture to ensure that the relationship between data tables is reasonable, so as to reduce the complexity of queries and improve performance.
Data sharding and partitioning: For large databases, consider data sharding or partitioning to manage and query data more efficiently.
Cache optimization: Using cache can reduce the number of database accesses and improve performance. This can be achieved using a database caching plugin or caching service.
Query optimization: write efficient query statements, avoid using complex subqueries or joins, and try to use indexes to speed up queries.
Hardware and network optimization: Using faster hardware and optimizing the network environment can improve the read and write speed and response time of the database.
Use appropriate data types: Using appropriate data types when creating tables can reduce storage space and improve query performance.
Regular maintenance and optimization: regularly maintain and optimize the database, clear unnecessary logs and data, free up space, and improve performance.
The above are some common database optimization techniques. In actual application, specific optimization should be carried out according to the specific situation.
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