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JDBC contre JPA

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JDBC vs JPA - A key comparison and difference of the topics or subjects that will help you understand which is best for your use case. Check out to compare JPA and JDBC as very common job interview questions.

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Difference entre JDBC et JPA

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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 contre Hibernate Ouvrir la page complete de comparaison cote a cote. JDBC 3.0 contre JDBC 4.0 Ouvrir la page complete de comparaison cote a cote. JPA contre Hibernate Ouvrir la page complete de comparaison cote a cote.

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