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JDBC 对比 JPA

通过结构化对比表查看 JDBC 与 JPA 的差异，然后继续浏览相关面试题、测验以及类似主题比较。

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3 相关比较

主题对比

JDBC 与 JPA 的对比有助于你理解哪一种更适合自己的使用场景。这里也整理了 JPA 和 JDBC 的常见对比内容，适用于面试准备。

比较概览

JDBC 与 JPA 的区别

JDBC 与 JPA 的对比有助于你理解哪一种更适合自己的使用场景。这里也整理了 JPA 和 JDBC 的常见对比内容，适用于面试准备。

JDBC 本次并排比较中的主题一。

2 当前页面可用的比较条目。

JPA 本次并排比较中的主题二。

JDBC Interview Online Test	JPA Interview
JDBC is a standard for Database Access.	JPA is a standard for ORM.
JDBC is a standard for connecting to a DB directly and running SQL against it - e.g SELECT * FROM USERS, etc. Datasets can be returned which you can handle in your app, and you can do all the usual things like INSERTS, DELETES, run stored procedures, etc. It is one of the underlying technologies behind most java database access (including JPA providers). One of the issues with traditional JDBC apps is that you can often have some crappy code where lots of mapping between datasets and objects occur, logic is mixed in with SQL, etc.	JPA is a standard for Object Relational Mapping. This is a technology which allows you to map between objects in code and database tables. This can "hide" the SQL from the developer so that all they deal with are java classes, and the provider allows you to save them and load them magically. Mostly, XML mapping files or annotations on getters, setters can be used to tell the JPA provider which fields on your object map to which fields in the DB. The most famous JPA provider is Hibernate, so is a good place to start for concrete examples. Other JPA implementations are OpenJPA, Toplink etc.

JDBC

Interview Online Test

JPA

Interview

JDBC is a standard for Database Access.

JPA is a standard for ORM.

JDBC is a standard for connecting to a DB directly and running SQL against it - e.g SELECT * FROM USERS, etc. Datasets can be returned which you can handle in your app, and you can do all the usual things like INSERTS, DELETES, run stored procedures, etc. It is one of the underlying technologies behind most java database access (including JPA providers).

One of the issues with traditional JDBC apps is that you can often have some crappy code where lots of mapping between datasets and objects occur, logic is mixed in with SQL, etc.

JPA is a standard for Object Relational Mapping. This is a technology which allows you to map between objects in code and database tables. This can "hide" the SQL from the developer so that all they deal with are java classes, and the provider allows you to save them and load them magically. Mostly, XML mapping files or annotations on getters, setters can be used to tell the JPA provider which fields on your object map to which fields in the DB. The most famous JPA provider is Hibernate, so is a good place to start for concrete examples. Other JPA implementations are OpenJPA, Toplink etc.

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JDBC 对比 JPA

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JDBC 与 JPA 的区别

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