（五）springboot 配置多数据源连接mysql和hive

项目结构如下

mysql 执行如下建表语句，并插入一条测试数据

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CREATE TABLE `user` (   `id` int(11) NOT NULL,   `name` varchar(255) COLLATE utf8mb4_general_ci DEFAULT NULL,   PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci;

使用hive客户端执行如下建表语句，并插入一条测试数据

1	create table `user` (`id` int, `name` string);

1. 引入依赖 pom.xml如下

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xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0"          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"          xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">     <modelVersion>4.0.0modelVersion>     <groupId>org.examplegroupId>     <artifactId>hadoop-demoartifactId>     <version>1.0-SNAPSHOTversion>     <properties>         <project.build.sourceEncoding>UTF-8project.build.sourceEncoding>         <project.reporting.outputEncoding>UTF-8project.reporting.outputEncoding>         <mybatis-spring-boot>1.2.0mybatis-spring-boot>         <mysql-connector>8.0.11mysql-connector>         <activiti.version>5.22.0activiti.version>     properties>     <parent>         <groupId>org.springframework.bootgroupId>         <artifactId>spring-boot-starter-parentartifactId>         <version>2.7.7version>     parent>     <dependencies>                  <dependency>             <groupId>org.springframework.bootgroupId>             <artifactId>spring-boot-starter-webartifactId>         dependency>                           <dependency>             <groupId>com.baomidougroupId>             <artifactId>dynamic-datasource-spring-boot-starterartifactId>             <version>3.6.1version>         dependency>                  <dependency>             <groupId>com.baomidougroupId>             <artifactId>mybatis-plus-boot-starterartifactId>             <version>3.5.3.1version>         dependency>                                      <dependency>             <groupId>mysqlgroupId>             <artifactId>mysql-connector-javaartifactId>             <version>${mysql-connector}version>         dependency>                  <dependency>             <groupId>com.alibabagroupId>             <artifactId>druidartifactId>             <version>1.1.12version>         dependency>                           <dependency>             <groupId>org.apache.hadoopgroupId>             <artifactId>hadoop-commonartifactId>             <version>3.3.4version>         dependency>                  <dependency>             <groupId>org.apache.hadoopgroupId>             <artifactId>hadoop-hdfsartifactId>             <version>3.3.4version>         dependency>                  <dependency>             <groupId>org.apache.hadoopgroupId>             <artifactId>hadoop-clientartifactId>             <version>3.3.4version>         dependency>                           <dependency>             <groupId>org.apache.hivegroupId>             <artifactId>hive-jdbcartifactId>             <version>3.1.3version>             <exclusions>                 <exclusion>                     <groupId>org.eclipse.jetty.aggregategroupId>                     <artifactId>*artifactId>                 exclusion>                 <exclusion>                     <groupId>org.eclipse.jettygroupId>                     <artifactId>jetty-runnerartifactId>                 exclusion>             exclusions>         dependency>                           <dependency>             <groupId>org.projectlombokgroupId>             <artifactId>lombokartifactId>             <version>1.18.24version>             <scope>providedscope>         dependency>         <dependency>             <groupId>junitgroupId>             <artifactId>junitartifactId>             <version>4.12version>             <scope>testscope>         dependency>     dependencies>     <build>         <finalName>communityfinalName>         <resources>             <resource>                 <directory>src/main/javadirectory>                 <includes>                     <include>**/*.propertiesinclude>                     <include>**/*.xmlinclude>                 includes>                 <filtering>falsefiltering>             resource>             <resource>                 <directory>src/main/resourcesdirectory>                 <includes>                     <include>**/*.*include>                 includes>                 <filtering>falsefiltering>             resource>         resources>         <plugins>             <plugin>                 <groupId>org.springframework.bootgroupId>                 <artifactId>spring-boot-maven-pluginartifactId>                 <configuration>                     <mainClass>com.mfc.hive.HiveApplicationmainClass>                     <layout>ZIPlayout>                     <includeSystemScope>trueincludeSystemScope>                 configuration>                 <executions>                     <execution>                         <goals>                             <goal>repackagegoal>                         goals>                     execution>                 executions>             plugin>         plugins>     build> project>

2.application-dev.yml 配置如下

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server:   port: 6080 spring:   application:     name: hadoop-service   datasource:     dynamic:       primary: master #设置默认的数据源，默认值为master       strict: false   #是否弃用严格模式，如果启用在味匹配到指定数据源时抛出异常       datasource:         master:           driver-class-name: com.mysql.jdbc.Driver           type: com.alibaba.druid.pool.DruidDataSource           url: jdbc:mysql://localhost:3306/hadoop?useUnicode=true&characterEncoding=utf-8&useSSL=false&allowMultiQueries=true&allowPublicKeyRetrieval=true&serverTimezone=GMT%2b8           username: root           password: xxxx         hive:           driver-class-name: org.apache.hive.jdbc.HiveDriver           type: com.alibaba.druid.pool.DruidDataSource           url: jdbc:hive2://hadoop-master:21000           username: hadoop           password:   druid:     initialSize: 5 #初始化连接大小     minIdle: 5     #最小连接池数量     maxActive: 20  #最大连接池数量     maxWait: 60000 #获取连接时最大等待时间，单位毫秒     timeBetweenEvictionRunsMillis: 60000 #配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒     minEvictableIdleTimeMillis: 300000   #配置一个连接在池中最小生存的时间，单位是毫秒     validationQuery: SELECT 1 from DUAL  #测试连接     testWhileIdle: true                  #申请连接的时候检测，建议配置为true，不影响性能，并且保证安全性     testOnBorrow: false                  #获取连接时执行检测，建议关闭，影响性能     testOnReturn: false                  #归还连接时执行检测，建议关闭，影响性能     poolPreparedStatements: false        #是否开启PSCache，PSCache对支持游标的数据库性能提升巨大，oracle建议开启，mysql下建议关闭     maxPoolPreparedStatementPerConnectionSize: 20 #开启poolPreparedStatements后生效     filters: stat,wall,log4j #配置扩展插件，常用的插件有=>stat:监控统计  log4j:日志  wall:防御sql注入     connectionProperties: 'druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000' #通过connectProperties属性来打开mergeSql功能;慢SQL记录

3. 新增HiveController

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package com.mfc.hive.controller; import com.mfc.hive.domain.User; import com.mfc.hive.service.IHiveService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import java.util.List; @RestController @RequestMapping("/api/v1/hive") public class HiveController {     @Autowired     private IHiveService hiveService;     @GetMapping("/mysql")     public void mysql() {         List userList = hiveService.mysql();         int a = 0;     }     @GetMapping("/hive")     public void hive() {         List userList = hiveService.hive();         int a = 0;     } }

4.新增service接口

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package com.mfc.hive.service; import com.mfc.hive.domain.User; import java.util.List; public interface IHiveService {     List mysql();     List  hive(); }

5.新增service实现

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package com.mfc.hive.service.impl; import com.mfc.hive.dao.mapper.IHiveMapper; import com.mfc.hive.domain.User; import com.mfc.hive.service.IHiveService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; import java.util.List; @Service public class HiveServiceImpl implements IHiveService {     @Autowired     private IHiveMapper hiveMapper;     public List mysql() {         return hiveMapper.mysql();     }     public List hive() {         return hiveMapper.hive();     } }

6.新增mapper接口

注意默认数据源为mysql，如需要使用hive数据源可以通过@Ds注解指定，如下

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package com.mfc.hive.dao.mapper; import com.baomidou.dynamic.datasource.annotation.DS; import com.mfc.hive.domain.User; import org.springframework.stereotype.Repository; import java.util.List; @Repository public interface IHiveMapper {     List mysql();     @DS("hive")     List hive(); }

7.增加mapper配置

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<mapper namespace="com.mfc.hive.dao.mapper.IHiveMapper">     <resultMap id="userMap" type="com.mfc.hive.domain.User">         <id property="id" column="id"/>         <result property="name" column="name"/>     resultMap>     <select id="mysql" parameterType="String" resultMap="userMap">         select `id`,`name` from `user`     select>     <select id="hive" parameterType="String" resultMap="userMap">         select `id`,`name` from `user`     select> mapper>

8.测试

打开postman选择get方法

8.1调用hive查询user表

输入地址localhost:6080/api/v1/hive/hive

8.2调用mysql查询user表

输入地址localhost:6080/api/v1/hive/mysql