（五）springboot 配置多数据源连接mysql和hive

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#spring boot #mysql #hive

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项目结构如下

mysql 执行如下建表语句，并插入一条测试数据

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>4.0.0</modelVersion>

<groupId>org.example</groupId>

<artifactId>hadoop-demo</artifactId>

<version>1.0-SNAPSHOT</version>

<properties>

<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>

<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>

<mybatis-spring-boot>1.2.0</mybatis-spring-boot>

<mysql-connector>8.0.11</mysql-connector>

<activiti.version>5.22.0</activiti.version>

</properties>

<parent>

<groupId>org.springframework.boot</groupId>

<artifactId>spring-boot-starter-parent</artifactId>

<version>2.7.7</version>

</parent>

<dependencies>

<dependency>

<groupId>org.springframework.boot</groupId>

<artifactId>spring-boot-starter-web</artifactId>

</dependency>

<dependency>

<groupId>com.baomidou</groupId>

<artifactId>dynamic-datasource-spring-boot-starter</artifactId>

<version>3.6.1</version>

</dependency>

<dependency>

<groupId>com.baomidou</groupId>

<artifactId>mybatis-plus-boot-starter</artifactId>

<version>3.5.3.1</version>

</dependency>

<!-- <dependency>

<groupId>org.mybatis.spring.boot</groupId>

<artifactId>mybatis-spring-boot-starter</artifactId>

<version>${mybatis-spring-boot}</version>

</dependency>-->

<dependency>

<groupId>mysql</groupId>

<artifactId>mysql-connector-java</artifactId>

<version>${mysql-connector}</version>

</dependency>

<dependency>

<groupId>com.alibaba</groupId>

<artifactId>druid</artifactId>

<version>1.1.12</version>

</dependency>

<dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-common</artifactId>

<version>3.3.4</version>

</dependency>

<dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-hdfs</artifactId>

<version>3.3.4</version>

</dependency>

<dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-client</artifactId>

<version>3.3.4</version>

</dependency>

<dependency>

<groupId>org.apache.hive</groupId>

<artifactId>hive-jdbc</artifactId>

<version>3.1.3</version>

<exclusions>

<exclusion>

<groupId>org.eclipse.jetty.aggregate</groupId>

<artifactId>*</artifactId>

</exclusion>

<exclusion>

<groupId>org.eclipse.jetty</groupId>

<artifactId>jetty-runner</artifactId>

</exclusion>

</exclusions>

</dependency>

<dependency>

<groupId>org.projectlombok</groupId>

<artifactId>lombok</artifactId>

<version>1.18.24</version>

<scope>provided</scope>

</dependency>

<dependency>

<groupId>junit</groupId>

<artifactId>junit</artifactId>

<version>4.12</version>

<scope>test</scope>

</dependency>

</dependencies>

<build>

<finalName>community</finalName>

<resources>

<resource>

<directory>src/main/java</directory>

<includes>

<include>**/*.properties</include>

<include>**/*.xml</include>

</includes>

<filtering>false</filtering>

</resource>

<resource>

<directory>src/main/resources</directory>

<includes>

<include>**/*.*</include>

</includes>

<filtering>false</filtering>

</resource>

</resources>

<plugins>

<plugin>

<groupId>org.springframework.boot</groupId>

<artifactId>spring-boot-maven-plugin</artifactId>

<configuration>

<mainClass>com.mfc.hive.HiveApplication</mainClass>

<layout>ZIP</layout>

<includeSystemScope>true</includeSystemScope>

</configuration>

<executions>

<execution>

<goals>

<goal>repackage</goal>

</goals>

</execution>

</executions>

</plugin>

</plugins>

</build>

</project>

2.application-dev.yml 配置如下

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

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<User> userList = hiveService.mysql();

int a = 0;

}

@GetMapping("/hive")

public void hive() {

List<User> userList = hiveService.hive();

int a = 0;

}

4.新增service接口

package com.mfc.hive.service;

import com.mfc.hive.domain.User;

import java.util.List;

public interface IHiveService {

List<User> mysql();

List<User> hive();

}

5.新增service实现

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<User> mysql() {

return hiveMapper.mysql();

}

public List<User> 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

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<User> mysql();

@DS("hive")

List<User> hive();

}

7.增加mapper配置

<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">

<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