


Elegantly build database query conditions using TKMyBatis to avoid hard-coded field names
This article explores how to gracefully get entity class variable names to build query conditions when using TKMyBatis for database queries to improve code maintainability and readability and avoid the risk of directly using string literals (such as "isDeleted").
Problem: Developers use TKMyBatis' Example object to build query conditions, but they need to specify the field name through string literals, such as criteria.andEqualTo("isDeleted", DeleteFlagEnum.UNDELETE.getCode());
. This method has problems such as poor maintenance and error proneness. Developers hope to be able to directly reference field names like Dog.isDeleted
, or find solutions like Lombok annotations.
Solution: Although TKMyBatis itself does not support building query conditions directly with variable names, we can solve this problem by introducing other frameworks. MyBatis-Plus (baomidou) provides a more elegant solution.
Advantages of MyBatis-Plus: MyBatis-Plus' lambdaQuery()
method utilizes Java's reflection mechanism, allowing the use of Lambda expressions to directly refer to the field names of the entity class, thereby avoiding hard-coded strings. For example:
lambdaQuery().eq(Entity::getId, value).list();
This code uses Entity::getId
to directly reference the id
field, and dynamically get the field name at runtime, rather than converting it to a string literal at compile time. This makes the code more concise, readable, and reduces the probability of errors, effectively solving the maintenance problem of the original method.
It should be noted that lambdaQuery()
method of MyBatis-Plus does not currently support Kotlin. If Kotlin is used, other alternatives need to be explored, such as using Kotlin's reflection mechanism combined with TKMyBatis, or considering other ORM frameworks. Choosing the right framework depends on the specific requirements of the project and the technology stack. By adopting MyBatis-Plus or other similar solutions, you can significantly improve code quality and reduce maintenance costs.
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