springboot整合阿里druid数据源

全配置在application配置文件（方式1）

maven依赖

        <!--druid的启动器-->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.17</version>
        </dependency>　　　　　<!--这里不加jdbc依赖，会报错，不明白-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>
        <!-- log4j -->
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
        </dependency>

application.yml

#项目服务
        server:
          port: 80
          address: localhost　　　　　spring:
         #数据源设置
          datasource:
            url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf8&autoReconnect=true&failOverReadOnly=false&useSSL=false&serverTimezone=UTC
            username: root
            password: xxx
            type: com.alibaba.druid.pool.DruidDataSource
            druid:
              # 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,slf4j
              #最大连接池数量 maxIdle已经不再使用
              maxActive: 20
              #初始化时建立物理连接的个数
              initialSize: 1
              #获取连接时最大等待时间，单位毫秒
              maxWait: 60000
              #最小连接池数量
              minIdle: 1
              #既作为检测的间隔时间又作为testWhileIdel执行的依据
              timeBetweenEvictionRunsMillis: 60000
              #销毁线程时检测当前连接的最后活动时间和当前时间差大于该值时，关闭当前连接
              minEvictableIdleTimeMillis: 300000
              #用来检测连接是否有效的sql 必须是一个查询语句
              #mysql中为 select ‘x‘
              #oracle中为 select 1 from dual
              validationQuery: select ‘x‘
              #申请连接的时候检测，如果空闲时间大于timeBetweenEvictionRunsMillis，执行validationQuery检测连接是否有效。
              testWhileIdle: true
              #申请连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
              testOnBorrow: false
              #归还连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
              testOnReturn: false
              # 是否缓存preparedStatement，也就是PSCache  官方建议MySQL下建议关闭   个人建议如果想用SQL防火墙 建议打开
              poolPreparedStatements: true
              maxOpenPreparedStatements: 20
              #当值大于0时poolPreparedStatements会自动修改为true
              maxPoolPreparedStatementPerConnectionSize: 20
              # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
              connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
              # 合并多个DruidDataSource的监控数据
              useGlobalDataSourceStat: true
      #基础监控配置
      web-stat-filter:
        enabled: true
        url-pattern: /*
        #设置不统计哪些URL
        exclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"
        session-stat-enable: true
        session-stat-max-count: 100
      #设置视图拦截,访问druid监控页的账号和密码,默认没有
      stat-view-servlet:
        enabled: true
        url-pattern: /druid/*
        reset-enable: true
        #设置监控页面的登录名和密码
        login-username: admin
        login-password: 123　　　　 #白名单ip
        allow: 127.0.0.1　　　　 #黑名单
        #deny: 192.168.1.100

　　测试使用localhost/druid/login.html访问即可，页面是源项目给的，用户密码为上面设置的  #设置监控页面的登录名和密码 admin 和 123

使用到部分java配置类（方式2）

只做基本配置，其余到java类中设置

server.port=80
#数据源1
spring.datasource.druid.name=druidDataSource
spring.datasource.druid.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.url=jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&autoReconnect=true&characterEncoding=utf-8&failOverReadOnly=false&useSSL=false&serverTimezone=UTC
spring.datasource.druid.username=root
spring.datasource.druid.password=xxx
#spring.datasource.druid.driver-class-name=com.mysql.cj.jdbc.Driver
# 初始化大小，最小，最大
spring.datasource.druid.initialSize=1
spring.datasource.druid.minIdle=3
spring.datasource.druid.maxActive=20
# 配置获取连接等待超时的时间
spring.datasource.druid.maxWait=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
spring.datasource.druid.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
spring.datasource.druid.minEvictableIdleTimeMillis=30000
spring.datasource.druid.validationQuery=select ‘x‘
spring.datasource.druid.testWhileIdle=true
spring.datasource.druid.testOnBorrow=false
spring.datasource.druid.testOnReturn=false
# 打开PSCache，并且指定每个连接上PSCache的大小
spring.datasource.druid.poolPreparedStatements=true
spring.datasource.druid.max-open-prepared-statements=50
spring.datasource.druid.maxPoolPreparedStatementPerConnectionSize=20
# 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
spring.datasource.druid.filters=stat,wall,slf4j
# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
spring.datasource.druid.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

DruidConfig.java

import java.sql.SQLException;
import javax.servlet.Filter;
import javax.servlet.Servlet;
import javax.sql.DataSource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
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 com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;

@Configuration
@EnableConfigurationProperties({DruidDataSourceProperties.class})
public class DruidConfig {
    @Autowired
    private DruidDataSourceProperties properties;

    @Bean
    @ConditionalOnMissingBean
    public DataSource druidDataSource() {
        DruidDataSource druidDataSource = new DruidDataSource();
        druidDataSource.setDriverClassName(properties.getDriverClassName());
        druidDataSource.setUrl(properties.getUrl());
        druidDataSource.setUsername(properties.getUsername());
        druidDataSource.setPassword(properties.getPassword());
        druidDataSource.setInitialSize(properties.getInitialSize());
        druidDataSource.setMinIdle(properties.getMinIdle());
        druidDataSource.setMaxActive(properties.getMaxActive());
        druidDataSource.setMaxWait(properties.getMaxWait());
        druidDataSource.setTimeBetweenEvictionRunsMillis(properties.getTimeBetweenEvictionRunsMillis());
        druidDataSource.setMinEvictableIdleTimeMillis(properties.getMinEvictableIdleTimeMillis());
        druidDataSource.setValidationQuery(properties.getValidationQuery());
        druidDataSource.setTestWhileIdle(properties.isTestWhileIdle());
        druidDataSource.setTestOnBorrow(properties.isTestOnBorrow());
        druidDataSource.setTestOnReturn(properties.isTestOnReturn());
        druidDataSource.setPoolPreparedStatements(properties.isPoolPreparedStatements());
        druidDataSource.setMaxPoolPreparedStatementPerConnectionSize(properties.getMaxPoolPreparedStatementPerConnectionSize());

        try {
            druidDataSource.setFilters(properties.getFilters());
            druidDataSource.init();
        } catch (SQLException e) {
            e.printStackTrace();
        }

        return druidDataSource;
    }

    /**
     * 注册Servlet信息， 配置监控视图
     * @return
     */
    @Bean
    @ConditionalOnMissingBean
    public ServletRegistrationBean<Servlet> druidServlet() {
        ServletRegistrationBean<Servlet> servletRegistrationBean = new ServletRegistrationBean<Servlet>(new StatViewServlet(), "/druid/*");

        //白名单：
        servletRegistrationBean.addInitParameter("allow","127.0.0.1");
        //IP黑名单 (存在共同时，deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.
        servletRegistrationBean.addInitParameter("deny","192.168.1.119");
        //登录查看信息的账号密码, 用于登录Druid监控后台
        servletRegistrationBean.addInitParameter("loginUsername", "admin");
        servletRegistrationBean.addInitParameter("loginPassword", "admin");
        //是否能够重置数据.
        servletRegistrationBean.addInitParameter("resetEnable", "true");
        return servletRegistrationBean;

    }

    /**
     * 注册Filter信息, 监控拦截器
     * @return
     */
    @Bean
    @ConditionalOnMissingBean
    public FilterRegistrationBean<Filter> filterRegistrationBean() {
        FilterRegistrationBean<Filter> filterRegistrationBean = new FilterRegistrationBean<Filter>();
        filterRegistrationBean.setFilter(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }}

DruidDataSourceProperties.java

import org.springframework.boot.context.properties.ConfigurationProperties;

@ConfigurationProperties(prefix = "spring.datasource.druid")
public class DruidDataSourceProperties {

    // jdbc
    private String driverClassName;
    private String url;
    private String username;
    private String password;
    // jdbc connection pool
    private int initialSize;
    private int minIdle;
    private int maxActive = 100;
    private long maxWait;
    private long timeBetweenEvictionRunsMillis;
    private long minEvictableIdleTimeMillis;
    private String validationQuery;
    private boolean testWhileIdle;
    private boolean testOnBorrow;
    private boolean testOnReturn;
    private boolean poolPreparedStatements;
    private int maxPoolPreparedStatementPerConnectionSize;
    // filter
    private String filters;

    public int getInitialSize() {
        return initialSize;
    }

    public void setInitialSize(int initialSize) {
        this.initialSize = initialSize;
    }

    public int getMinIdle() {
        return minIdle;
    }

    public void setMinIdle(int minIdle) {
        this.minIdle = minIdle;
    }

    public int getMaxActive() {
        return maxActive;
    }

    public void setMaxActive(int maxActive) {
        this.maxActive = maxActive;
    }

    public long getMaxWait() {
        return maxWait;
    }

    public void setMaxWait(long maxWait) {
        this.maxWait = maxWait;
    }

    public long getTimeBetweenEvictionRunsMillis() {
        return timeBetweenEvictionRunsMillis;
    }

    public void setTimeBetweenEvictionRunsMillis(long timeBetweenEvictionRunsMillis) {
        this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis;
    }

    public long getMinEvictableIdleTimeMillis() {
        return minEvictableIdleTimeMillis;
    }

    public void setMinEvictableIdleTimeMillis(long minEvictableIdleTimeMillis) {
        this.minEvictableIdleTimeMillis = minEvictableIdleTimeMillis;
    }

    public String getValidationQuery() {
        return validationQuery;
    }

    public void setValidationQuery(String validationQuery) {
        this.validationQuery = validationQuery;
    }

    public boolean isTestWhileIdle() {
        return testWhileIdle;
    }

    public void setTestWhileIdle(boolean testWhileIdle) {
        this.testWhileIdle = testWhileIdle;
    }

    public boolean isTestOnBorrow() {
        return testOnBorrow;
    }

    public void setTestOnBorrow(boolean testOnBorrow) {
        this.testOnBorrow = testOnBorrow;
    }

    public boolean isTestOnReturn() {
        return testOnReturn;
    }

    public void setTestOnReturn(boolean testOnReturn) {
        this.testOnReturn = testOnReturn;
    }

    public boolean isPoolPreparedStatements() {
        return poolPreparedStatements;
    }

    public void setPoolPreparedStatements(boolean poolPreparedStatements) {
        this.poolPreparedStatements = poolPreparedStatements;
    }

    public int getMaxPoolPreparedStatementPerConnectionSize() {
        return maxPoolPreparedStatementPerConnectionSize;
    }

    public void setMaxPoolPreparedStatementPerConnectionSize(int maxPoolPreparedStatementPerConnectionSize) {
        this.maxPoolPreparedStatementPerConnectionSize = maxPoolPreparedStatementPerConnectionSize;
    }

    public String getFilters() {
        return filters;
    }

    public void setFilters(String filters) {
        this.filters = filters;
    }

    public String getDriverClassName() {
        return driverClassName;
    }

    public void setDriverClassName(String driverClassName) {
        this.driverClassName = driverClassName;
    }

    public String getUrl() {
        return url;
    }

    public void setUrl(String url) {
        this.url = url;
    }

    public String getUsername() {
        return username;
    }

    public void setUsername(String username) {
        this.username = username;
    }

    public String getPassword() {
        return password;
    }

    public void setPassword(String password) {
        this.password = password;
    }

}

　　同上访问即可，到此完成了。

原文地址：https://www.cnblogs.com/UBEING/p/12263309.html

时间： 2024-08-30 16:05:14

springboot整合阿里druid数据源的相关文章

SpringBoot整合Mybatis多数据源 (AOP+注解)

SpringBoot整合Mybatis多数据源 (AOP+注解) 1.pom.xml文件(开发用的JDK 10) <?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:s

【Mysql】SpringBoot阿里Druid数据源连接池配置

一.pom.xml添加 <!-- 配置数据库连接池 --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.1.0</version> </dependency> 二.application.properties 添加 # 连接池配置spring.datasource.type

SpringBoot整合MYBATIS,多数据源,事务,支持JAVA -JAR 启动.

用了一段时间SpringBoot,之前配置MYBATIS ,在打包WAR 放到tomcat下正常,但是WAR已经过时了,现在流行直接打包JAR 丢到DOCKER 里,无奈JAR 启动的时候MAPPER 扫描有问题,只能说之前整合MYBATIS 的方式不对. 这次的整合应该是不存在加载顺序引起的问题,使用了一段时间,妥妥的,记录下来 pom.xml <parent> <groupId>org.springframework.boot</groupId> <artif

springboot 整合 mybatis 多数据源配置

一.mysql的多数据源的配置 1. 项目结构 包名 说明 com.kk.configuration 数据库配置层 com.kk.testcss.controller 控制层 com.kk.testcss.dao 数据库操作层,又分了不同的两个包,分别操作数据源1 和 数据源2 com.kk.testcss.service 业务逻辑层 com.kk.model 实体类 com.kk.Application 启动类 2.数据库配置 springboot 主配置文件 application.prop

springboot整合mongo多数据源

该实例已测试 POM.XML <!-- Spring Boot mongodb 依赖--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-mongodb</artifactId> </dependency> application.yml 1 data: 2 mongodb: 3 p

springboot整合阿里云视频点播接口

官方SDK文档地址: https://help.aliyun.com/document_detail/57756.html?spm=a2c4g.11186623.6.904.4e0d3bd9VbkICO 1.引入maven依赖 <dependency> <groupId>com.aliyun</groupId> <artifactId>aliyun-java-sdk-core</artifactId> <version>4.3.3&l

Springboot整合Druid数据源

Druid是阿里巴巴的一个开源的JDBC组件,该组件由数据库连接池.插件框架和SQL解析器组成,主要功能如下: 1.DruidDriver 代理Driver,能够提供基于Filter-Chain模式的插件体系. 2.DruidDataSource 高效可管理的数据库连接池. 3.SQLParser解析器兼容所有的JDBC数据库,如:Mysql,Oracle.SQL Server数据库. 同时它结合了C3P0.DBCP.PROXOOL等DB池的优点,加入了日志监控,在稳定性.可扩展性和性能方便具有

SpringBoot整合Druid数据源详细文档

1.数据库结构 2.项目结构 3.pom.xml文件 <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency> <dependency> <groupId>mysql</groupI

SpringBoot整合Druid数据连接池

SpringBoot整合Druid数据连接池 Druid是什么? Druid是Alibaba开源的的数据库连接池.Druid能够提供强大的监控和扩展功能. 在哪里下载druid maven中央仓库: http://central.maven.org/maven2/com/alibaba/druid/ 怎么获取Druid的源码 Druid是一个开源项目,源码托管在github上,源代码仓库地址是 https://github.com/alibaba/druid.同时每次Druid发布正式版本和快照