一、项目说明
1.1 项目结构
配置文件位于 com.heibaiying.config 包下,项目以单元测试的方式进行测试。
1.2 相关依赖
除了 Spring 的基本依赖外,需要导入 MongoDB 的整合依赖:
<!--spring mongodb 整合依赖-->
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-mongodb</artifactId>
<version>2.1.3.RELEASE</version>
</dependency>
二、整合 MongoDB
2.1 基本配置
新建配置文件及其映射类:
mongo.host=192.168.200.228
mongo.port=27017
# 数据库名称. 默认是'db'.
mongo.dbname=database
# 每个主机允许的连接数
mongo.connectionsPerHost=10
# 线程队列数,它和上面connectionsPerHost值相乘的结果就是线程队列最大值。如果连接线程排满了队列就会抛出异常
mongo.threadsAllowedToBlockForConnectionMultiplier=5
# 连接超时的毫秒 0是默认值且无限大。
mongo.connectTimeout=1000
# 最大等待连接的线程阻塞时间 默认是120000 ms (2 minutes).
mongo.maxWaitTime=1500
# 保持活动标志,控制是否有套接字保持活动超时 官方默认为true 且不建议禁用
mongo.socketKeepAlive=true
# 用于群集心跳的连接的套接字超时。
mongo.socketTimeout=1500
@Data
@Configuration
@PropertySource(value = "classpath:mongodb.properties")
public class MongoProperty {
@Value("${mongo.host}")
private String host;
@Value("${mongo.port}")
private int port;
@Value("${mongo.dbname}")
private String dbname;
@Value("${mongo.connectionsPerHost}")
private int connectionsPerHost;
@Value("${mongo.threadsAllowedToBlockForConnectionMultiplier}")
private int multiplier;
@Value("${mongo.connectTimeout}")
private int connectTimeout;
@Value("${mongo.maxWaitTime}")
private int maxWaitTime;
@Value("${mongo.socketKeepAlive}")
private boolean socketKeepAlive;
@Value("${mongo.socketTimeout}")
private int socketTimeout;
}
2.2 整合配置
@Configuration
@ComponentScan(value = "com.heibaiying.*")
public class MongoConfig {
@Bean
public MongoDbFactory mongoDbFactory(MongoProperty mongo) {
MongoClientOptions options = MongoClientOptions.builder()
.threadsAllowedToBlockForConnectionMultiplier(mongo.getMultiplier())
.connectionsPerHost(mongo.getConnectionsPerHost())
.connectTimeout(mongo.getConnectTimeout())
.maxWaitTime(mongo.getMaxWaitTime())
.socketTimeout(mongo.getSocketTimeout())
.build();
MongoClient client = new MongoClient(new ServerAddress(mongo.getHost(), mongo.getPort()), options);
return new SimpleMongoDbFactory(client, mongo.getDbname());
}
@Bean
public MongoTemplate mongoTemplate(MongoDbFactory mongoDbFactory) {
return new MongoTemplate(mongoDbFactory);
}
}
2.3 测试整合
@RunWith(SpringRunner.class)
@ContextConfiguration(classes = MongoConfig.class)
public class MongoDBTest {
@Autowired
private MongoTemplate mongoTemplate;
@Test
public void insert() {
// 单条插入
mongoTemplate.insert(new Programmer("xiaoming", 12, 5000.21f, new Date()));
List<Programmer> programmers = new ArrayList<Programmer>();
// 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());
}
}