# spring boot 整合 mongodb ## 目录
一、说明
        1.1 用例结构
        1.2 项目主要依赖
二、整合 mongodb
        2.1 在application.yml 中配置mongodb数据源
        2.2 基于MongoTemplate实现对mongodb的操作
        2.3 使用 data jpa 方式操作mongodb (推荐使用)
## 正文
## 一、说明 #### 1.1 用例结构 1. 本用例提供mongdb的简单整合用例； 2. 提供用MongoTemplate的方式操作mongdb，见测试用例MongoOriginalTests.java 3. 提供基于spring data jpa 的方式操作mongodb(推荐)，见测试用例MongoJPATests.java
#### 1.2 项目主要依赖 ```xml org.springframework.boot spring-boot-starter-data-mongodb ``` ## 二、整合 mongodb #### 2.1 在application.yml 中配置mongodb数据源 ```yaml spring: data: mongodb: database: spring uri: mongodb://192.168.0.108:27017 ``` #### 2.2 基于MongoTemplate实现对mongodb的操作 ```java @RunWith(SpringRunner.class) @SpringBootTest public class MongoOriginalTests { @Autowired private MongoTemplate mongoTemplate; @Test public void insert() { // 单条插入 mongoTemplate.insert(new Programmer("xiaoming", 12, 5000.21f, new Date())); List programmers = new ArrayList(); // 批量插入 programmers.add(new Programmer("xiaohong", 21, 52200.21f, new Date())); programmers.add(new Programmer("xiaolan", 34, 500.21f, new Date())); mongoTemplate.insert(programmers, Programmer.class); } // 条件查询 @Test public void select() { Criteria criteria = new Criteria(); criteria.andOperator(where("name").is("xiaohong"), where("age").is(21)); Query query = new Query(criteria); Programmer one = mongoTemplate.findOne(query, Programmer.class); System.out.println(one); } // 更新数据 @Test public void MUpdate() { UpdateResult updateResult = mongoTemplate.updateMulti(query(where("name").is("xiaoming")), update("age", 35), Programmer.class); System.out.println("更新记录数：" + updateResult.getModifiedCount()); } // 删除指定数据 @Test public void delete() { DeleteResult result = mongoTemplate.remove(query(where("name").is("xiaolan")), Programmer.class); System.out.println("影响记录数：" + result.getDeletedCount()); System.out.println("是否成功：" + result.wasAcknowledged()); } } ``` #### 2.3 使用 data jpa 方式操作mongodb (推荐使用) 1.新建查询结构，查询方法按照支持的关键字命名 ```java public interface ProgrammerRepository extends MongoRepository { void deleteAllByName(String name); Programmer findAllByName(String names); Programmer findByNameAndAge(String name, int age); } ``` 2.测试 ```java @RunWith(SpringRunner.class) @SpringBootTest public class MongoJPATests { @Autowired private ProgrammerRepository repository; @Test public void insert() { // 单条插入 repository.save(new Programmer("python", 23, 21832.34f, new Date())); // 批量插入 List programmers = new ArrayList(); programmers.add(new Programmer("java", 21, 52200.21f, new Date())); programmers.add(new Programmer("Go", 34, 500.21f, new Date())); repository.saveAll(programmers); } // 条件查询 @Test public void select() { Programmer java = repository.findByNameAndAge("java", 21); Assert.assertEquals(java.getSalary(), 52200.21f, 0.01); } // 更新数据 @Test public void MUpdate() { repository.save(new Programmer("Go", 8, 500.21f, new Date())); Programmer go = repository.findAllByName("Go"); Assert.assertEquals(go.getAge(), 8); } // 删除指定数据 @Test public void delete() { repository.deleteAllByName("python"); Optional python = repository.findById("python"); Assert.assertFalse(python.isPresent()); } } ``` 查询方法支持的关键字如下,更多命名规范可以参见Spring Data MongoDB官方文档[Query Methods](https://docs.spring.io/spring-data/mongodb/docs/2.1.3.RELEASE/reference/html/#mongodb.repositories.queries)： | Keyword | Sample | Logical result | | ------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | | `After` | `findByBirthdateAfter(Date date)` | `{"birthdate" : {"$gt" : date}}` | | `GreaterThan` | `findByAgeGreaterThan(int age)` | `{"age" : {"$gt" : age}}` | | `GreaterThanEqual` | `findByAgeGreaterThanEqual(int age)` | `{"age" : {"$gte" : age}}` | | `Before` | `findByBirthdateBefore(Date date)` | `{"birthdate" : {"$lt" : date}}` | | `LessThan` | `findByAgeLessThan(int age)` | `{"age" : {"$lt" : age}}` | | `LessThanEqual` | `findByAgeLessThanEqual(int age)` | `{"age" : {"$lte" : age}}` | | `Between` | `findByAgeBetween(int from, int to)` | `{"age" : {"$gt" : from, "$lt" : to}}` | | `In` | `findByAgeIn(Collection ages)` | `{"age" : {"$in" : [ages…]}}` | | `NotIn` | `findByAgeNotIn(Collection ages)` | `{"age" : {"$nin" : [ages…]}}` | | `IsNotNull`, `NotNull` | `findByFirstnameNotNull()` | `{"firstname" : {"$ne" : null}}` | | `IsNull`, `Null` | `findByFirstnameNull()` | `{"firstname" : null}` | | `Like`, `StartingWith`, `EndingWith` | `findByFirstnameLike(String name)` | `{"firstname" : name} (name as regex)` | | `NotLike`, `IsNotLike` | `findByFirstnameNotLike(String name)` | `{"firstname" : { "$not" : name }} (name as regex)` | | `Containing` on String | `findByFirstnameContaining(String name)` | `{"firstname" : name} (name as regex)` | | `NotContaining` on String | `findByFirstnameNotContaining(String name)` | `{"firstname" : { "$not" : name}} (name as regex)` | | `Containing` on Collection | `findByAddressesContaining(Address address)` | `{"addresses" : { "$in" : address}}` | | `NotContaining` on Collection | `findByAddressesNotContaining(Address address)` | `{"addresses" : { "$not" : { "$in" : address}}}` | | `Regex` | `findByFirstnameRegex(String firstname)` | `{"firstname" : {"$regex" : firstname }}` | | `(No keyword)` | `findByFirstname(String name)` | `{"firstname" : name}` | | `Not` | `findByFirstnameNot(String name)` | `{"firstname" : {"$ne" : name}}` | | `Near` | `findByLocationNear(Point point)` | `{"location" : {"$near" : [x,y]}}` | | `Near` | `findByLocationNear(Point point, Distance max)` | `{"location" : {"$near" : [x,y], "$maxDistance" : max}}` | | `Near` | `findByLocationNear(Point point, Distance min, Distance max)` | `{"location" : {"$near" : [x,y], "$minDistance" : min, "$maxDistance" : max}}` | | `Within` | `findByLocationWithin(Circle circle)` | `{"location" : {"$geoWithin" : {"$center" : [ [x, y], distance]}}}` | | `Within` | `findByLocationWithin(Box box)` | `{"location" : {"$geoWithin" : {"$box" : [ [x1, y1], x2, y2]}}}` | | `IsTrue`, `True` | `findByActiveIsTrue()` | `{"active" : true}` | | `IsFalse`, `False` | `findByActiveIsFalse()` | `{"active" : false}` | | `Exists` | `findByLocationExists(boolean exists)` | `{"location" : {"$exists" : exists }}` |