java骨架
目录结构
├── mvnw
├── mvnw.cmd
├── pom.xml
├── README.md
├── src/ 源文件目录
│ ├── main
│ │ ├── java
│ │ │ └── cn
│ │ │ └── sigo
│ │ │ └── archtype
│ │ │ ├── ArchtypeApplication.java 启动类
│ │ │ ├── common/ 公用参数配置目录
│ │ │ │ ├── ArchtypeConstantsConfig.java 公共参数配置
│ │ │ │ ├── CompareStatus.java
│ │ │ │ ├── Error.java
│ │ │ │ ├── ErrorCode.java
│ │ │ │ └──......
│ │ │ └── config/ 公共配置目录
│ │ │ ├── JwtAuthenticationFilter.java 解决前端到后台跨域问题
│ │ │ ├── redis/ redis配置
│ │ │ │ ├── DefaultRedisConfig.java
│ │ │ │ ├── RedisConfig.java
│ │ │ │ └── ......
│ │ │ ├── controller/ 控制器目录
│ │ │ │ ├── TestController.java
│ │ │ │ └── .....
│ │ │ ├── mapper/ mapper 目录
│ │ │ │ └── .....
│ │ │ ├── model/ Model 目录 （绑定数据表）
│ │ │ │ ├── po/ 此对象与数据库表结构一一对应，通过 mapper 层向上传输数据源对象(数据库)
│ │ │ │ │ └── .....
│ │ │ │ ├── dto/ 数据传输对象， Service 或 Manager 向外传输的对象。（输出）
│ │ │ │ └── .....
│ │ │ │ ├── bo/ 业务对象， 由 Service 层输出的封装业务逻辑的对象（业务处理，输入）
│ │ │ │ └── .....
│ │ │ │ ├── query/ 数据查询对象，各层接收上层的查询请求。 注意超过 2 个参数的查询封装，禁止
使用 Map 类来传输（数据库逻辑处理）
│ │ │ │ └── .....
│ │ │ │ └── .....
│ │ │ ├── service/ 服务接口目录
│ │ │ │ ├── impl/ 服务接口实现目录
│ │ │ │ ├── TestServiceImpl.java
│ │ │ │ └── .....
│ │ │ │ ├── TestService.java
│ │ │ │ └── .....
│ │ │ └── utils/ 公共工具类目录
│ │ │ ├── DesUtil DEC(ASC码加密)-带向量及密钥
│ │ │ ├── EncrypDES DEC(ASC码加密)-不带向量及密钥
│ │ │ ├── JsonUtils Json数据处理工具类
│ │ │ ├── LogHelper 日志处理工具类
│ │ │ ├── MD5Utils MD5通用类
│ │ │ ├── ObjectUtils 驼峰及下划线互转处理工具
│ │ │ ├── RedisHelper redis工具类
│ │ │ ├── SendSmsUtil 发送短信工具类
│ │ │ └── .....
│ │ └── resources/ 资源总目录
│ │ ├── generator/
│ │ │ ├── generatorConfig.xml 代码自动生成工具
│ │ │ └── .....
│ │ ├── mapping/ 数据库sql配置文件
│ │ ├── static/ 静态资源文件目录
│ │ ├── templates/ web 模板目录
│ │ ├── application-dev.yml 开发配置
│ │ ├── application-prod.yml 产品配置
│ │ ├── application.yml 当前配置
│ │ ├── application-test.yml 测试配置
│ │ └── archtype.properties 公共参数properties
Redis多数据源
将redis数据库信息配置到application-test.yml，application-prod.yml，application-dev.yml配置文件中，
如业务需求需要连接多个redis数据源，配置多个DefaultRedisConfig.java文件。
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;
/**
* @Author: panwei
* @Date: 2019/1/22 11:58
* @apiNote: Redis数据连接池及公共参数
* @Version 1.0
*/
@EnableCaching
@Configuration
public class RedisConfig {
@Value("${spring.redis.jedis.pool.max-active}")
private int redisPoolMaxActive;
@Value("${spring.redis.jedis.pool.max-wait}")
private int redisPoolMaxWait;
@Value("${spring.redis.jedis.pool.max-idle}")
private int redisPoolMaxIdle;
@Value("${spring.redis.jedis.pool.min-idle}")
private int redisPoolMinIdle;
/**
* 创建redis连接工厂
*
* @param dbIndex
* @param host
* @param port
* @param password
* @param timeout
* @return
*/
public JedisConnectionFactory createJedisConnectionFactory(int dbIndex, String host, int port, String password, int timeout) {
JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
jedisConnectionFactory.setDatabase(dbIndex);
jedisConnectionFactory.setHostName(host);
jedisConnectionFactory.setPort(port);
jedisConnectionFactory.setPassword(password);
jedisConnectionFactory.setTimeout(timeout);
jedisConnectionFactory.setPoolConfig(setPoolConfig(redisPoolMaxIdle, redisPoolMinIdle, redisPoolMaxActive, redisPoolMaxWait, true));
return jedisConnectionFactory;
}
/**
* 设置连接池属性
*
* @param maxIdle
* @param minIdle
* @param maxActive
* @param maxWait
* @param testOnBorrow
* @return
*/
public JedisPoolConfig setPoolConfig(int maxIdle, int minIdle, int maxActive, int maxWait, boolean testOnBorrow) {
JedisPoolConfig poolConfig = new JedisPoolConfig();
poolConfig.setMaxIdle(maxIdle);
poolConfig.setMinIdle(minIdle);
poolConfig.setMaxTotal(maxActive);
poolConfig.setMaxWaitMillis(maxWait);
poolConfig.setTestOnBorrow(testOnBorrow);
return poolConfig;
}
/**
* 设置RedisTemplate的序列化方式
*
* @param redisTemplate
*/
public void setSerializer(RedisTemplate redisTemplate) {
StringRedisSerializer stringRedisSerializer =new StringRedisSerializer();
//设置键（key）的序列化方式
redisTemplate.setKeySerializer(stringRedisSerializer);
//设置值（value）的序列化方式
redisTemplate.setValueSerializer(stringRedisSerializer);
redisTemplate.setHashKeySerializer(stringRedisSerializer);
redisTemplate.setHashValueSerializer(stringRedisSerializer);
redisTemplate.afterPropertiesSet();
}
}
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
/**
* @Author: panwei
* @Date: 2019/1/22 11:58
* @apiNote: 默认的redis数据源
* @Version 1.0
*/
@Configuration
@EnableCaching
public class DefaultRedisConfig extends RedisConfig {
@Value("${spring.redis.database}")
private int dbIndex;
@Value("${spring.redis.redis1.host}")
private String host;
@Value("${spring.redis.redis1.port}")
private int port;
@Value("${spring.redis.redis1.password}")
private String password;
@Value("${spring.redis.timeout}")
private int timeout;
/**
* 配置redis连接工厂
*
* @return
*/
@Bean
public RedisConnectionFactory defaultRedisConnectionFactory() {
return createJedisConnectionFactory(dbIndex, host, port, password, timeout);
}
/**
* 配置redisTemplate 注入方式使用@Resource(name="") 方式注入
*
* @return
*/
@Bean(name = "defaultRedisTemplate")
public RedisTemplate defaultRedisTemplate() {
RedisTemplate template = new RedisTemplate();
template.setConnectionFactory(defaultRedisConnectionFactory());
setSerializer(template);
template.afterPropertiesSet();
return template;
}
}
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
/**
* @Author: panwei
* @Date: 2019/1/22 11:58
* @apiNote: redis数据源-其他
* @Version 1.0
*/
@Configuration
@EnableCaching
public class CacheRedisConfig extends RedisConfig {
@Value("${spring.redis.database}")
private int dbIndex;
@Value("${spring.redis.redis2.host}")
private String host;
@Value("${spring.redis.redis2.port}")
private int port;
@Value("${spring.redis.redis2.password}")
private String password;
@Value("${spring.redis.timeout}")
private int timeout;
/**
* 配置redis连接工厂
*
* @return
*/
@Primary
@Bean
public RedisConnectionFactory cacheRedisConnectionFactory() {
return createJedisConnectionFactory(dbIndex, host, port, password, timeout);
}
/**
* 配置redisTemplate 注入方式使用@Resource(name="") 方式注入
*
* @return
*/
@Bean(name = "cacheRedisTemplate")
public RedisTemplate cacheRedisTemplate() {
RedisTemplate template = new RedisTemplate();
template.setConnectionFactory(cacheRedisConnectionFactory());
setSerializer(template);
template.afterPropertiesSet();
return template;
}
}
- 具体例子请查看
TestController.java，其中也包含了切换的db方法。
注意DefaultRedisConfig.java中@Bean对应的name必须唯一
redis:
#数据库索引
database: 0
redis1:
host: 192.168.5.58
port: 6379
password:
redis2:
host: 192.168.5.87
port: 6379
password:
jedis:
pool:
#最大连接数
max-active: 8
#最大阻塞等待时间(负数表示没限制)
max-wait: -1
#最大空闲
max-idle: 8
#最小空闲
min-idle: 0
#连接超时时间
timeout: 10000
keytimeout: 10000
数据库多数据源
项目中配置了两个mysql数据库和一个sqlserver数据库的数据源连接，均采用druid的连接方式
sqlserver:
datasource:
url: jdbc:sqlserver://10.0.180.152\ERPDB152;database=SigoBackEnd
username: sa
password: sigo.cn@123
driverClassName: com.microsoft.sqlserver.jdbc.SQLServerDriver
mysql:
datasource:
url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&serverTimezone=GMT%2B8
username: root
password: 2wsx@WSX
driverClassName: com.mysql.jdbc.Driver
- 具体的数据库Config配置方法请查看
MysqlDataSourceConfig.java，MysqlDataSourceConfig1.java，SqlServerDataSourceConfig.java
import com.alibaba.druid.pool.DruidDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import javax.sql.DataSource;
/**
* @Author: panwei
* @Date: 2019/1/23 11:58
* @apiNote: Mysql扫描 Mapper 接口并容器管理
* @Version 1.0
*/
@Configuration
@MapperScan(basePackages = MysqlDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "mysqlSqlSessionFactory")
public class MysqlDataSourceConfig {
// 精确到 mysql 目录，以便跟其他数据源隔离
/**
* 对应的mysql dao层包
*/
static final String PACKAGE = "cn.sigo.api.mapper.mysql";
/**
* 对应mysql的mapper.xml文件
*/
static final String MAPPER_LOCATION = "classpath:mapping/mysql/*.xml";
@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;
@Bean(name = "mysqlDataSource")
@Primary
public DataSource mysqlDataSource() {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(driverClass);
dataSource.setUrl(url);
dataSource.setUsername(user);
dataSource.setPassword(password);
return dataSource;
}
@Bean(name = "mysqlTransactionManager")
@Primary
public DataSourceTransactionManager mysqlTransactionManager() {
return new DataSourceTransactionManager(mysqlDataSource());
}
@Bean(name = "mysqlSqlSessionFactory")
@Primary
public SqlSessionFactory mysqlSqlSessionFactory(@Qualifier("mysqlDataSource") DataSource mysqlDataSource) throws Exception {
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(mysqlDataSource);
sessionFactory.setMapperLocations(
new PathMatchingResourcePatternResolver().getResources(MysqlDataSourceConfig.MAPPER_LOCATION));
return sessionFactory.getObject();
}
}
import com.alibaba.druid.pool.DruidDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import javax.sql.DataSource;
/**
* @Author: panwei
* @Date: 2019/1/23 13:56
* @apiNote: sqlserver扫描 Mapper 接口并容器管理
* @Version 1.0
*/
@Configuration
@MapperScan(basePackages=SqlServerDataSourceConfig.PACKAGE,sqlSessionFactoryRef="sqlserverSqlSessionFactory")
public class SqlServerDataSourceConfig {
// 精确到 sqlserver 目录，以便跟其他数据源隔离
static final String PACKAGE = "cn.sigo.api.mapper.sqlserver";
static final String MAPPER_LOCATION = "classpath:mapping/sqlserver/*.xml";
@Value("${sqlserver.datasource.url}")
private String url;
@Value("${sqlserver.datasource.username}")
private String user;
@Value("${sqlserver.datasource.password}")
private String password;
@Value("${sqlserver.datasource.driverClassName}")
private String driverClass;
@Bean(name = "sqlserverDataSource")
public DataSource sqlserverDataSource() {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(driverClass);
dataSource.setUrl(url);
dataSource.setUsername(user);
dataSource.setPassword(password);
return dataSource;
}
@Bean(name = "sqlserverTransactionManager")
public DataSourceTransactionManager sqlserverTransactionManager() {
return new DataSourceTransactionManager(sqlserverDataSource());
}
@Bean(name = "sqlserverSqlSessionFactory")
public SqlSessionFactory sqlserverSqlSessionFactory(@Qualifier("sqlserverDataSource") DataSource sqlserverDataSource) throws Exception {
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(sqlserverDataSource);
sessionFactory.setMapperLocations(
new PathMatchingResourcePatternResolver().getResources(SqlServerDataSourceConfig.MAPPER_LOCATION));
return sessionFactory.getObject();
}
}
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