When developing and optimizing MySQL databases, we often face the choice of using JSON fields or relational tables to manage data. This article will explore performance optimization methods for using JSON fields and relational tables in MySQL.
The advantages of JSON fields are compact data structure, reduced number of tables, and fewer join operations. However, parsing JSON fields incurs significant overhead, has limited index support, and may have lower query efficiency on large datasets.
The advantages of relational tables are clear relationship models, comprehensive index support, and efficient query optimization. However, it requires additional tables and join operations, which are typically efficient in relational databases.
In scenarios with millions and tens of millions of users, what are the advantages and disadvantages of these two approaches in terms of efficient querying and flexibility? Here are the considerations:
Scenario: A membership system that allows members to create organizations and share them with other members. In the struct of Organization, Permissions are used to record member IDs and roles. Under the organization, the ability to add courses and units while allowing member sharing at different levels needs to be maintained.
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