前几天调研了一下spring-data的使用。此处作一下使用的简单介绍:
在使用关系型数据库的传统Java web开发中,咱们一般使用以下层级结构:
Dao层主要完成OR-Mapping的功能,进行数据的存储。可是在咱们使用Mongo数据库以后,本来的层级就可能变成了以下:
由于咱们从mongo的数据为json格式,可使用fastjson与POJO进行相互转换。
这样层级设计,开发就能够能很快地完成,可是形成一些问题:html
如下是理由:java
因此咱们可使用spring-data-mongo来完成dao层的编写。
如下代码都是测试经过的,主要注意几个点:web
接口定义示例:spring
public interface UserRepository extends MongoRepository<User, String> { //////////////////////Query///////////////////// // Do not recommend using @Query annotation like this @Query("{ 'firstname' : ?0, 'password': ?1 }") public User findByUsernameAndPassword(String username, String password); // find age larger than // there are others: public List<User> findByAgeGreaterThan(Integer age); public List<User> findByAgeLessThan(Integer age); public List<User> findByAgeBetween(Integer from, Integer to); public List<User> findBySexNot(String sex); public List<User> findBySexLike(String sex); public List<User> findBySexNotLike(String sex); public List<User> findByUsernameNull(); public List<User> findByUsernameNotNull(); // find by username public User findByUsername(String username); // find distinct users by username public List<User> findDistinctUserByUsername(String username); public List<User> findUserDistinctByUsername(String username); // find users by username and age public List<User> findByUsernameAndAge(String username, Integer age); // find users by username or age public List<User> findByUsernameOrAge(String username, Integer age); // find users by sex with ignoring cases public List<User> findBySexIgnoreCase(String sex, Pageable pageable); // find users by sex with order firstname ascending public List<User> findBySexOrderByUsernameAsc(String sex); // find users by sex with the order sort specfied public List<User> findBySex(String sex, Sort sort); // find users bys sex with pageable public List<User> findBySex(String sex, Pageable pageable); // find the first ten results by user sex public Slice<User> findTop10BySex(String sex, Sort sort); public Slice<User> findFirst10BySex(String sex, Sort sort); // other query like Stream Query and Async Query could be // found here http://docs.spring.io/spring-data/mongodb/docs/current/reference/html/#repositories.query-methods // define the method by ourself default User findByUsernameAndPasswordByOwn(String username, String password) { MongoOperations ops = DbUtil.getDbUtil().getMongoTemplate(); User user = ops.findOne(query(where("username").is(username)) .addCriteria(where("password").is(password)), User.class); return user; } default GroupByResults<User> findUserGroupBySex() { GroupByResults<User> results = DbUtil.getDbUtil().getMongoTemplate() .group("user", GroupBy.key("sex").initialDocument("{ count: 0 }") .reduceFunction("function(doc, prev) { prev.count += 1 }"), User.class); return results; } //////////////////////Delete///////////////////// public void deleteByUsername(String username); public void removeByUsernameAndAge(String username, Integer age); /////////////////////update//////////////////////// // normally, we use sper.update(), if the method can't meet your demand, // you can write the method yourself default void updateMultiByUsername(String username, Integer age) { MongoOperations ops = DbUtil.getDbUtil().getMongoTemplate(); // update all the documents whose username atteribute is username // and the class need to be User ops.updateMulti(query(where("username").is(username)), Update.update("age", age), User.class); } //////////////////save/////////////// // just use default save(). forget about the others. }
使用例子:mongodb
@RestController public class UserController { @Autowired UserRepository userRepository; @RequestMapping("/") public String sayHello(String name) { return "Hello, " + name; } @RequestMapping(value="/user", method = RequestMethod.POST) public String add(@RequestParam String companyId, @RequestBody User user) { user = userRepository.save(user); return user.getId(); } @RequestMapping(value = "/user/username", method = RequestMethod.GET) public User getUserByUserName(@RequestParam String companyId, @RequestParam String username, @RequestParam String password) { User user; user = userRepository.findByUsernameAndPassword(username, password); return user; } @RequestMapping(value="/user/group/sex", method = RequestMethod.GET) public GroupByResults<User> groupUserBySex() { return userRepository.findUserGroupBySex(); } }