Java使⽤多数据源⽅法配置
⾸先需要引⼊druid连接池依赖 ，此处选择alibaba连接池
1<dependency>
2 <groupId>com.alibaba</groupId>
3 <artifactId>druid-spring-boot-starter</artifactId>
4 <version>1.2.8</version>
5</dependency>
配置数据源信息 可创建多个
1spring：
2 datasource:
3 druid:
4 #第⼀个数据库连接信息 local local为⾃命名命名随意
5 local:
6 type: com.alibaba.druid.pool.DruidDataSource
7 username: root
8 password: mima
9 driver-class-name: sql.cj.jdbc.Driver
10 url: jdbc:mysql://ip:3306/数据库名称?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetriev
11 #第⼆个数据库连接信息 cloud
12 cloud:
13 type: com.alibaba.druid.pool.DruidDataSource
14 username: root
15 password: mima
16 driver-class-name: sql.cj.jdbc.Driver
17 url: jdbc:mysql://ip:3306/数据库名称?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetriev 创建配类DataSourceConfig 注⼊配置信息
1import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
slf4j.Slf4j;
3import org.t.properties.ConfigurationProperties;
4import t.annotation.Bean;
5import t.annotation.Configuration;
6
7import javax.sql.DataSource;
8
9
10@Slf4j
11@Configuration
12public class DataSourceConfig {
13
14 /**
15 * 将cloud数据连接信息注⼊cloudDataSource
16 */
17 @Bean(name = "cloudDataSource")
18 @ConfigurationProperties(prefix = "spring.datasource.druid.cloud")
19 public DataSource cloudDataSource(){
20 ate().build();
21 }
22
23 /**
24 * 将local数据连接信息注⼊localDataSource
25 */
26 @Bean(name = "localDataSource")
27 @ConfigurationProperties(prefix = "spring.datasource.druid.local")
28 public DataSource localDataSource(){
29 ate().build();
30 }
31}
创建DataSourceNames类 给数据源命名 便于使⽤。
1public interface DataSourceNames {
2 String cloudDataSource = "CLOUDDATASOURCE";
3 String localDataSource = "LOCALDATASOURCE";
4}
⾃定义注解DataSource 默认选中数据源 localDataSource
1import java.lang.annotation.*;
2
3@Documented
4@Target({ElementType.METHOD})
5@Retention(RetentionPolicy.RUNTIME)
6public @interface DataSource {
7 String value() default DataSourceNames.localDataSource;
8}
创建 DynamicDataSource类 extends AbstractRoutingDataSource 重写determineCurrentLookupKey⽅法
1import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
2
3import javax.sql.DataSource;
4import java.util.Map;
5
6public class DynamicDataSource extends AbstractRoutingDataSource {
7 private static final ThreadLocal<String> CONTEXT_HOLDER= new ThreadLocal<>();
8
9 /**
10 * 配置DataSource, defaultTargetDataSource为主数据库
11 */
12 public DynamicDataSource(DataSource defaultTargetDataSource, Map<Object, Object> targetDataSources) {
13 super.setDefaultTargetDataSource(defaultTargetDataSource);
14 super.setTargetDataSources(targetDataSources);
15 super.afterPropertiesSet();
16 }
17
18 @Override
19 protected Object determineCurrentLookupKey() {
20 return getDataSource();
21 }
22
23 public static void setDataSource(String dataSource) {
24 CONTEXT_HOLDER.set(dataSource);
25 }
26
27 public static String getDataSource() {
28 return ();
29 }
30
31 public static void clearDataSource() {
32 ve();
33 }
34}
创建SqlSessionConfig
2import org.apache.ibatis.session.SqlSessionFactory;
batis.spring.SqlSessionFactoryBean;
4import org.springframework.beans.factory.annotation.Qualifier;
5import t.annotation.Bean;
6import t.annotation.Configuration;
7import t.annotation.Primary;
8import io.support.PathMatchingResourcePatternResolver;
9
10import javax.sql.DataSource;
11import java.util.HashMap;
12import java.util.Map;
13
14
15@Slf4j
16@Configuration
17public class SqlSessionConfig{
18 @Bean(name = "dataSource")
19 @Primary
20 DataSource dataSource(@Qualifier("cloudDataSource") DataSource cloudDataSource , @Qualifier("localDataSource") DataSource localDataSource)
21 Map<Object,Object> targetDataSources = new HashMap<>(2);
22 targetDataSources.put(DataSourceNames.cloudDataSource,cloudDataSource);
23 targetDataSources.put(DataSourceNames.localDataSource,localDataSource);
24 log.info("DataSource:{}" + targetDataSources);
25 return new DynamicDataSource(localDataSource,targetDataSources);
26 }
27
28 @Bean
29 @Primary
30 public SqlSessionFactory sqlSessionFactory(DataSource dataSource) throws Exception {
31 SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
32 bean.setDataSource(dataSource);
33 bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath*:mapper/*.xml"));
34 Object();
35 }
36}
配置切⾯ 在使⽤⾃定义@DataSource注解时 将指定数据源注⼊
2import org.aspectj.lang.ProceedingJoinPoint;
3import org.aspectj.lang.annotation.Around;
4import org.aspectj.lang.annotation.Aspect;
5import org.aspectj.lang.annotation.Pointcut;
6import org.flect.MethodSignature;
7import org.springframework.stereotype.Component;
8
9import flect.Method;
10
11@Component
12@Aspect
13@Slf4j
14public class DataSourceAspect {
15 @Pointcut("@annotation(fig.DataSource)")
16 public void pointCut(){}
17
18 @Around("pointCut()")
19 public Object around(ProceedingJoinPoint point) throws Throwable {
20 MethodSignature signature = (MethodSignature) Signature();
21 Method method = Method();
22 DataSource dataSource = Annotation(DataSource.class);
23 DynamicDataSource.setDataSource(dataSource.value());
24 log.info("set dataSource is {}" , dataSource.value());
25 try {
26 return point.proceed();
27 }finally {
28 DynamicDataSource.clearDataSource();
29 log.info("clearDataSource");
30 }
31 }
32}
在操作数据库时指定数据源
1@Service
2public class CloudTaskServiceImpl implements CloudTaskService {
3
4 @Autowired
5 private TaskMapper taskMapper;
6
7 @Override
8 @DataSource(value = DataSourceNames.cloudDataSource)
9 public int insertTask(Task task) {
10 return taskMapper.insert(task);
druid连接池配置详解11 }
12}
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