0018SpringBoot连接docker中的mysql并使用druid数据源
时间：2019-11-27 19:54:19
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由于druid数据源自带监控功能，所以引用druid数据源
1、centos7中安装并启动docker
2、docker安装并启动mysql
3、pom.xml中引入druid依赖
4、application.yml中配置数据库连接及druid数据源信息
5、编写DruidConfig配置文件，绑定4中所配置的数据源信息
6、编写HelloController用于访问
7、登录druid管理控制台
8、访问HelloController中的hello方法，并在druid控制台中查看
具体实现如下：
1、centos7中安装并启动docker
yum install docker
systemctl start docker
2、docker安装并启动mysql
拉取：
docker pull mysql
启动：
docker run --name mysql01 -e MYSQL_ROOT_PASSWORD=root@123 -d mysql:latest
查看容器：
docker ps -a
停止容器：
docker stop 容器id
启动容器：
docker start 容器id
删除容器：
docker rm 容器id
3、pom.xml中引入druid依赖
<?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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.1.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.myself</groupId>
<artifactId>springboot-05-data-jdbc</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>springboot-05-data-jdbc</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.18</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<!--必须将此段注释调用才能使用@Runwith注解-->
<!--<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>-->
</dependency>
<!--用于热部署-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
</dependency>
<!--引入druid数据源-->
<!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.8</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
4、application.yml中配置数据库连接及druid数据源信息
spring:
datasource:
username: root
password: root@123
url: jdbc:mysql://127.0.0.1:3306/jdbc?useUnicode=true&useSSL=false&characterEncoding=utf8&serverTimezone=UTC
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，‘wall‘用于防火墙
#filters: stat,wall,log4j
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
# schema:
# - classpath:department.sql
5、编写DruidConfig配置类，绑定4中所配置的数据源信息
package com.myself.springboot05datajdbc.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import javax.sql.DataSource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
@Configuration
public class DruidConfig {
@ConfigurationProperties(prefix = "spring.datasource")
@Bean
public DataSource druid(){
return new DruidDataSource();
}
//配置Druid的监控
//1、配置一个管理后台的Servlet
@Bean
public ServletRegistrationBean statViewServlet(){
ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
Map<String,String> initParams = new HashMap<>();
initParams.put("loginUsername","admin");
initParams.put("loginPassword","123456");
initParams.put("allow","");//默认就是允许所有访问
initParams.put("deny","192.168.15.21");
bean.setInitParameters(initParams);
return bean;
}
//2、配置一个web监控的filter
@Bean
public FilterRegistrationBean webStatFilter(){
FilterRegistrationBean bean = new FilterRegistrationBean();
bean.setFilter(new WebStatFilter());
Map<String,String> initParams = new HashMap<>();
initParams.put("exclusions","*.js,*.css,/druid/*");
bean.setInitParameters(initParams);
bean.setUrlPatterns(Arrays.asList("/*"));
return bean;
}
}
6、编写HelloController用于访问
package com.myself.springboot05datajdbc.controller;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
import java.util.Map;
@RestController
public class HelloController {
@Autowired
private JdbcTemplate jdbcTemplate;
@GetMapping("/hello")
public Map<String, Object> hello(){
List<Map<String, Object>> lists = jdbcTemplate.queryForList("select * from department");
return lists.get(0);
}
}
7、登录druid管理控制台
用户名密码为在步骤5的代码中写的
8、访问HelloController中的hello方法，并在druid控制台中查看
特别注意：在步骤4中配置数据源时，ip地址一定要是mysql容器的ip地址，而不能是docker所在虚拟机的地址，查看容器所在ip方法如下：
1、 docker ps 查看mysql的容器id
2、 docker exec -it xxx sh 进入容器终端
3、 cat /etc/hosts 显示ip所在的配置文件
如有理解不到之处，望指正！
原文：https://www.cnblogs.com/xiao1572662/p/11944171.html
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