- 统一异常处理
- Swagger
- Druid
- Mybatis
- Redis
- MongoDB
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配置
GlobalExceptionHandler.java
@RestControllerAdvice public class GlobalExceptionHandler { private Logger logger = LoggerFactory.getLogger(GlobalExceptionHandler.class); @ExceptionHandler(value = BusinessException.class) public JSONObject BusinessExceptionHandler(BusinessException exception) throws IOException { logger.info(exception.toString()); JSONObject jsonObject = new JSONObject(); jsonObject.put("response_code", exception.getCode()); jsonObject.put("message", exception.getMessage()); return jsonObject; } @ExceptionHandler(value = Exception.class) public JSONObject OtherExceptionHandler(Exception e) throws IOException { logger.error(e.toString()); JSONObject jsonObject = new JSONObject(); jsonObject.put("response_code", "300005"); jsonObject.put("message", "系统异常"); return jsonObject; } }
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配置
pom.xml
<!--swagger--> <dependency> <groupId>io.springfox</groupId> <artifactId>springfox-swagger2</artifactId> <version>2.2.2</version> </dependency> <dependency> <groupId>io.springfox</groupId> <artifactId>springfox-swagger-ui</artifactId> <version>2.2.2</version> </dependency>
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使用
@ApiOperation(value = "获取信息", response = Info.class) @ApiImplicitParams({ @ApiImplicitParam(name = "id", value = "用户id", dataType = "Integer") }) @ApiResponses({ @ApiResponse(code = 200, message = "success") }) @GetMapping(value = "/get_user") public Info GetUser() { return infoMapper.findById(1); }
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访问:
http://localhost:8089/swagger-ui.html
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配置
appplication.yaml
# mysql-druid spring: datasource: type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.jdbc.Driver url: jdbc:mysql://localhost:3306/xus username: root password: 4321 # 初始化大小,最小,最大 initialSize: 5 minIdle: 5 maxIdle: 100 maxActive: 200 # 配置获取连接等待超时的时间 maxWait: 5000 # 每次使用连接时进行校验,会影响系统性能。默认为false testOnBorrow: false # 验证使用的SQL语句 validationQuery: SELECT 1 # 指明连接是否被空闲连接回收器(如果有)进行检验.如果检测失败,则连接将被从池中去除 testWhileIdle: true # 每30秒运行一次空闲连接回收器(默认-1) timeBetweenEvictionRunsMillis: 30000 # 池中的连接空闲30分钟后被回收(默认30分钟) minEvictableIdleTimeMillis: 1800000 # 在每次空闲连接回收器线程(如果有)运行时检查的连接数量(设置为和maxIdle一样) numTestsPerEvictionRun: 100
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使用
DataSourceConfig
来替换默认配置因为
Druid
暂时没有专门提供给SpringBoot
的定制版本,所以需要手动配置Druid
的属性。DataSourceConfig.java
:@Value("${spring.datasource.url}") private String url; @Value("${spring.datasource.username}") private String user; @Value("${spring.datasource.password}") private String password; @Value("${spring.datasource.driver-class-name}") private String driverClass; @Value("${spring.datasource.maxActive}") private Integer maxActive; @Value("${spring.datasource.initialSize}") private Integer initialSize; @Value("${spring.datasource.minIdle}") private Integer minIdle; @Value("${spring.datasource.maxWait}") private Integer maxWait; @Bean(name = "DataSource") public DataSource DataSource() { DruidDataSource dataSource = new DruidDataSource(); dataSource.setDriverClassName(driverClass); dataSource.setUrl(url); dataSource.setUsername(user); dataSource.setPassword(password); dataSource.setMaxActive(maxActive); dataSource.setInitialSize(initialSize); dataSource.setMinIdle(minIdle); dataSource.setMaxWait(maxWait); return dataSource; }
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配置状态监控的
Filter
与Servlet
直接访问
http://localhost:8080/druid/login.html
,输入账号密码即可进入druid
监控。
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配置
DataSourceConfig
使用
setMapUnderscoreToCamelCase(true)
来将数据库的下划线格式自动转换为驼峰格式。@Bean(name = "TransactionManager") public DataSourceTransactionManager TransactionManager() { return new DataSourceTransactionManager(DataSource()); } @Bean(name = "SqlSessionFactory") public SqlSessionFactory SqlSessionFactory(@Qualifier("DataSource") DataSource dataSource) throws Exception { final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean(); sessionFactory.setDataSource(dataSource); sessionFactory.getObject().getConfiguration().setMapUnderscoreToCamelCase(true); return sessionFactory.getObject(); }
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推荐使用
Mapper
注解,替代复杂的XML
文件@Mapper public interface InfoMapper { @Select("select * from info where id=#{id}") Info findById(@Param("id") Integer id); }
-
Mapper
的使用private final InfoMapper infoMapper; @Autowired public MysqlController(InfoMapper infoMapper) { this.infoMapper = infoMapper; } @ApiOperation(value = "获取信息", response = Info.class) @ApiImplicitParams({ @ApiImplicitParam(name = "id", value = "用户id", dataType = "Integer") }) @ApiResponses({ @ApiResponse(code = 200, message = "success") }) @GetMapping(value = "/get_user") public Info GetUser() { return infoMapper.findById(1); }
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配置
appplication.yaml
redis: database: 0 # Redis数据库索引(默认为0) host: port: password: : timeout: # ms pool: max-active: 12 # 连接池最大连接数(使用负值表示没有限制) max-wait: -1 # 连接池最大阻塞等待时间(使用负值表示没有限制) max-idle: 4 # 连接池中的最大空闲连接 min-idle: 1 # 连接池中的最小空闲连接
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使用
StringRedisTemplate
private final StringRedisTemplate redisTemplate; @Autowired public RedisController(StringRedisTemplate redisTemplate) { this.redisTemplate = redisTemplate; } @ApiOperation(value = "测试Redis") @GetMapping(value = "/set") public void set() { // 保存字符串 redisTemplate.opsForValue().set("aaa", "111"); redisTemplate.opsForValue().get("aaa"); redisTemplate.opsForSet().add("test_set", "1111"); redisTemplate.opsForSet().add("test_set", "2222"); } }
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配置
appplication.yaml
# mongo data: mongodb: database: host: port: username: password:
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使用
MongoTemplate
private final MongoTemplate mongoTemplate; @Autowired public MongoController(MongoTemplate mongoTemplate) { this.mongoTemplate = mongoTemplate; } @GetMapping(value = "/test") public void mongoT1() { //对象存储 String BASE_INFO_COLLECTION = "baseInfo"; JSONObject json = new JSONObject(); json.put("id", "123"); mongoTemplate.insert(json, BASE_INFO_COLLECTION); Query query = new Query(Criteria.where("id").is("123")); Long count = mongoTemplate.count(query, BASE_INFO_COLLECTION); System.out.println("count=" count); } @GetMapping(value = "/test2") public void MongoT2() { Info info = new Info(); info.setId(111); info.setName("dou"); mongoTemplate.save(info); }