从一个helloworld开始java
创建好springboot的项目后mysql
pom.xmlweb
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-jpa</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <optional>true</optional> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.47</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.29</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>8.0.11</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency>
配置文件spring
spring: datasource: driver-class-name: com.mysql.cj.jdbc.Driver url: jdbc:mysql://xxx.xxx.xxx.xxx:3306/jpa?useSSL=FALSE&serverTimezone=GMT%2B8 username: root password: root type: com.alibaba.druid.pool.DruidDataSource filters: stat maxActive: 20 initialSize: 1 maxWait: 60000 minIdle: 1 timeBetweenEvictionRunsMillis: 60000 minEvictableIdleTimeMillis: 300000 validationQuery: select 'x' testWhileIdle: true testOnBorrow: false testOnReturn: false poolPreparedStatements: true maxOpenPreparedStatements: 20 jpa: hibernate: ddl-auto: update show-sql: true
实体类sql
@Entity @Data @RequiredArgsConstructor @AllArgsConstructor @NoArgsConstructor public class User { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; @NonNull private String name; @NonNull private String email; }
仓库文件数据库
public interface UserRepository extends CrudRepository<User,Long> { }
controllerjson
@RestController public class UserController { @Autowired private UserRepository userRepository; @SuppressWarnings("unchecked") @Transactional @GetMapping("/add") public Result<String> addNewUser(@RequestParam("name") String name,@RequestParam("email") String email) { User user = new User(name,email); userRepository.save(user); return Result.success("添加用户成功"); } @GetMapping("/all") @SuppressWarnings("unchecked") public Result<Iterable<User>> getAllUsers() { return Result.success(userRepository.findAll()); } @GetMapping("/user") @SuppressWarnings("unchecked") public Result<User> getUser(@RequestParam("id") Long id) { return Result.success(userRepository.findById(id)); } }
也能够直接用名字查询springboot
public interface UserAloneRepository extends Repository<User,Long> { List<User> findByName(String name); }
在UserController中添加app
@Autowired private UserAloneRepository userAloneRepository;
@GetMapping("/user/name") @SuppressWarnings("unchecked") public Result<User> getUserByName(@RequestParam("name") String name) { return Result.success(userAloneRepository.findByName(name)); }
jpa的一个好处是能够不用手工去数据库建表,一运行就能够自动建表。spring-boot
若是要分页和排序
public interface UserPagingAndSortingRepository extends PagingAndSortingRepository<User,Long> { }
Controller中添加
/** * 分页和排序 * @return */ @SuppressWarnings("unchecked") @GetMapping("/page") public Result<Page<User>> getAllUserByPage() { return Result.success(userPagingAndSortingRepository.findAll( new PageRequest(0,2,new Sort(new Sort.Order(Sort.Direction.ASC,"name"))) )); } /** * 排序 * @return */ @SuppressWarnings("unchecked") @GetMapping("/sort") public Result<Iterable<User>> getAllUserWithSort() { return Result.success(userPagingAndSortingRepository.findAll( new Sort(new Sort.Order(Sort.Direction.ASC,"name")) )); }
咱们来看一下他的整体继承关系结构图
其中SimpleJpaRepository是他们全部接口的实现类,而JpaRepository以上其实都是兼容noSql的接口,而只有JpaRepository如下才是对数据库特有的接口。
而使用的方法也是同样,只须要用一个自定义接口继承便可
public interface UserJpaRespository extends JpaRepository<User,Long> { }
jpa有本身的根据方法名的查询生成器机制,例如以前的UserAloneRepository中的findByName,findBy是固定前缀,Name是属性名。咱们来看几个and、or的查询。
public interface UserAloneRepository extends Repository<User,Long> { List<User> findByName(String name); List<User> findByNameAndEmail(String name,String email); List<User> findByNameOrEmail(String name,String email); }
Controller中的
@SuppressWarnings("unchecked") @GetMapping("/and") public Result<List<User>> getUserByNameAndEmail(@RequestParam("name") String name,@RequestParam("email") String email) { return Result.success(userAloneRepository.findByNameAndEmail(name,email)); } @SuppressWarnings("unchecked") @GetMapping("/or") public Result<List<User>> getUserByNameOrEmail(@RequestParam("name") String name,@RequestParam("email") String email) { return Result.success(userAloneRepository.findByNameOrEmail(name,email)); }
咱们从打印出来的日志能够看到
Hibernate: select user0_.id as id1_0_, user0_.email as email2_0_, user0_.name as name3_0_ from user user0_ where user0_.name=? and user0_.email=?
Hibernate: select user0_.id as id1_0_, user0_.email as email2_0_, user0_.name as name3_0_ from user user0_ where user0_.name=? or user0_.email=?
其实就是where语句后面的and和or.
这种and以及or是能够无限接下去的多条件查询。如今咱们来看一下去重和取前几个数据
public interface UserAloneRepository extends Repository<User,Long> { List<User> findByName(String name); List<User> findByNameAndEmail(String name,String email); List<User> findByNameOrEmail(String name,String email); //去重 List<User> findDistinctByName(String name); //查找前2个 List<User> findTop2ByName(String name); }
只要加上Distinct和Top数字就能够了
如今给User实体类增长两个字段
@Entity @Data @RequiredArgsConstructor @AllArgsConstructor @NoArgsConstructor public class User { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; @NonNull private String name; @NonNull private String email; private int age; private boolean sex; }
启动项目后,数据库会自动给user表增长上该字段
全部的jpa关键字以下
public interface UserAloneRepository extends Repository<User,Long> { List<User> findByName(String name); List<User> findByNameAndEmail(String name,String email); List<User> findByNameOrEmail(String name,String email); //去重 List<User> findDistinctByName(String name); //查找前2个 List<User> findTop2ByName(String name); //查找小于age参数的 List<User> findByAgeBefore(int age); //查找小于age参数的 List<User> findByAgeLessThan(int age); //查找小于等于age参数的 List<User> findByAgeLessThanEqual(int age); //查找大于age参数的 List<User> findByAgeAfter(int age); //查找大于age参数的 List<User> findByAgeGreaterThan(int age); //查找大于等于age参数的 List<User> findByAgeGreaterThanEqual(int age); //查找name为null的 List<User> findByNameIsNull(); //查找name不为null的 List<User> findByNameNotNull(); //查找like name的(此处不带%) List<User> findByNameLike(String name); //查找not like name的(此处不带%) List<User> findByNameNotLike(String name); //查找like %name(无后缀%) List<User> findByNameStartingWith(String name); //查找like name%(无前缀%) List<User> findByNameEndingWith(String name); //查找like %name% List<User> findByNameContaining(String name); //根据name查找,按照age排序 List<User> findByNameOrderByAgeDesc(String name); //查找不等于age的 List<User> findByAgeNot(int age); //根据age查找在ages集合内的 List<User> findByAgeIn(Set<Integer> ages); //根据age查找不在ages集合内的 List<User> findByAgeNotIn(Set<Integer> ages); //查找sex为1的 List<User> findBySexTrue(); //查找sex为0的 List<User> findBySexFalse(); //按照email查找,不区分大小写 List<User> findByEmailIgnoreCase(String email); //按照name查找总数 long countByName(String name); //按照name删除 //此处是根据查找出来的id一条一条删除的,因此在调用的时候必须加事务 long deleteByName(String name); //按照name删除 //此处是根据查找出来的id一条一条删除的,因此在调用的时候必须加事务 List<User> removeByName(String name); }
在删除时必须带上事务
@Transactional @SuppressWarnings("unchecked") @GetMapping("/delete") public Result<String> deleteByName(@RequestParam("name") String name) { userAloneRepository.deleteByName(name); return Result.success("删除成功"); } @Transactional @SuppressWarnings("unchecked") @GetMapping("/remove") public Result<List<User>> removeByName(@RequestParam("name") String name) { return Result.success(userAloneRepository.removeByName(name)); }
根据打印的日志能够看到实际上是按照id来删除的
Hibernate: select user0_.id as id1_0_, user0_.age as age2_0_, user0_.email as email3_0_, user0_.name as name4_0_, user0_.sex as sex5_0_ from user user0_ where user0_.name=? Hibernate: delete from user where id=? Hibernate: delete from user where id=?