springboot整合druid

1、配置文件application.yml
 

#端口配置
server:
    port: 8080
    session-timeout: 600
spring:
    datasource:
      type: com.alibaba.druid.pool.DruidDataSource
      url: jdbc:mysql://localhost:3306/test?characterEncoding=UTF-8
      username: root
      password: root
      driverClassName: com.mysql.jdbc.Driver
      # 下面为连接池的补充设置,应用到上面所有数据源中
      initialSize: 5
      minIdle: 5
      maxActive: 20
      # 配置获取连接等待超时的时间
      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
      timeBetweenEvictionRunsMillis: 60000
      # 配置一个连接在池中最小生存的时间,单位是毫秒
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1 FROM DUAL
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      filters: stat,log4j
      logSlowSql: false

mybatis:
  mapper-locations: classpath:mapper/*Mapper.xml
  type-aliases-package: com.example.springshiro.bean
  configuration:
     call-setters-on-nulls: true
#

2、配置类:
 

package com.example.springshiro.config.druid;

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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 org.springframework.context.annotation.Primary;

import javax.sql.DataSource;
import java.sql.SQLException;

/**
 * Druid数据源配置
 * 
 *
 */

@Configuration
public class DruidConfig {

	private static final Logger log = LoggerFactory.getLogger("adminLogger");

	@Bean
	public ServletRegistrationBean druidServlet() {
		log.info("init Druid Servlet Configuration ");
		ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),
				"/druid/*");
		// IP白名单
		servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
		// IP黑名单(共同存在时,deny优先于allow)
//		servletRegistrationBean.addInitParameter("deny", "192.168.27.26");
//		// 控制台管理用户
//		servletRegistrationBean.addInitParameter("loginUsername", "admin");
//		servletRegistrationBean.addInitParameter("loginPassword", "admin");
//		// 是否能够重置数据 禁用HTML页面上的“Reset All”功能
//		servletRegistrationBean.addInitParameter("resetEnable", "false");
		return servletRegistrationBean;
	}

	@Bean
	public FilterRegistrationBean filterRegistrationBean() {
		FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
		filterRegistrationBean.addUrlPatterns("/*");
		filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
		return filterRegistrationBean;
	}

	/**
	 * 数据源配置
	 * 
	 *
	 */
	@ConfigurationProperties(prefix = "spring.datasource")
	public class DataSourceProperties {
		private String url;
		private String username;
		private String password;
		private String driverClassName;
		private int initialSize;
		private int minIdle;
		private int maxActive;
		private int maxWait;
		private int timeBetweenEvictionRunsMillis;
		private int minEvictableIdleTimeMillis;
		private String validationQuery;
		private boolean testWhileIdle;
		private boolean testOnBorrow;
		private boolean testOnReturn;
		private boolean poolPreparedStatements;
		private int maxPoolPreparedStatementPerConnectionSize;
		private String filters;
		private String connectionProperties;

		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;
		}

		public String getDriverClassName() {
			return driverClassName;
		}

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

		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 int getMaxWait() {
			return maxWait;
		}

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

		public int getTimeBetweenEvictionRunsMillis() {
			return timeBetweenEvictionRunsMillis;
		}

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

		public int getMinEvictableIdleTimeMillis() {
			return minEvictableIdleTimeMillis;
		}

		public void setMinEvictableIdleTimeMillis(int 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 getConnectionProperties() {
			return connectionProperties;
		}

		public void setConnectionProperties(String connectionProperties) {
			this.connectionProperties = connectionProperties;
		}

		@Bean
		@Primary
		public DataSource dataSource() {
			DruidDataSource datasource = new DruidDataSource();
			datasource.setUrl(url);
			datasource.setUsername(username);
			datasource.setPassword(password);
			datasource.setDriverClassName(driverClassName);

			datasource.setInitialSize(initialSize);
			datasource.setMinIdle(minIdle);
			datasource.setMaxActive(maxActive);
			datasource.setMaxWait(maxWait);
			datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
			datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
			datasource.setValidationQuery(validationQuery);
			datasource.setTestWhileIdle(testWhileIdle);
			datasource.setTestOnBorrow(testOnBorrow);
			datasource.setTestOnReturn(testOnReturn);
			datasource.setPoolPreparedStatements(poolPreparedStatements);
			datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
			try {
				datasource.setFilters(filters);
			} catch (SQLException e) {
				log.error("异常", e);
			}
			datasource.setConnectionProperties(connectionProperties);
			return datasource;
		}
	}
}

 

### 回答1: Spring Boot可以很方便地整合Druid数据源,只需要在pom.xml中添加Druid和JDBC依赖,然后在application.properties中配置Druid数据源即可。 1. 添加依赖 在pom.xml中添加以下依赖: ``` <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.10</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> ``` 2. 配置Druid数据源 在application.properties中添加以下配置: ``` # 数据源配置 spring.datasource.url=jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=false spring.datasource.username=root spring.datasource.password=root spring.datasource.driver-class-name=com.mysql.jdbc.Driver # Druid配置 spring.datasource.type=com.alibaba.druid.pool.DruidDataSource spring.datasource.druid.initial-size=5 spring.datasource.druid.min-idle=5 spring.datasource.druid.max-active=20 spring.datasource.druid.test-on-borrow=true spring.datasource.druid.test-on-return=false spring.datasource.druid.test-while-idle=true spring.datasource.druid.time-between-eviction-runs-millis=60000 spring.datasource.druid.min-evictable-idle-time-millis=300000 spring.datasource.druid.validation-query=SELECT 1 FROM DUAL spring.datasource.druid.filters=stat,wall,log4j spring.datasource.druid.connection-properties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 ``` 3. 使用Druid数据源 在需要使用数据源的地方,注入DataSource即可: ``` @Autowired private DataSource dataSource; ``` 以上就是Spring Boot整合Druid的基本步骤。 ### 回答2: Spring Boot是一种开源的Java框架,用于快速构建Web应用程序。Druid是一种功能强大的数据库连接池和监控工具。将这两个工具整合在一起,可以优化应用程序的性能和可靠性。本文将讨论如何在Spring Boot应用程序中使用Druid连接池。 Druid数据库连接池的优点 1. 高性能:Druid可以有效地管理数据库连接,提供优化过的连接池,从而提高应用程序的性能。 2. 可扩展性:Druid可以管理大量的连接和请求,因此可以扩展以满足未来的需求。 3. 监控和统计:Druid提供详细的监控和统计数据,可帮助开发人员更好地管理数据库连接。 添加Druid依赖 要使用Druid连接池,首先需要在pom.xml文件中添加Druid依赖项。在此过程的开始,您将在项目构建配置中添加下面这段xml内容: <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.2.6</version> </dependency> 完成maven配置后,可以在Spring Boot应用程序的Java文件中开始配置Druid连接池。 配置Druid连接池 Spring Boot使用Java的@Configuration和@Bean注解来配置Druid连接池。要配置Druid连接池,您可以在Spring Boot应用程序中创建一个名为DruidConfig的Java类,并向此类添加@Configuration注解。添加完后,会在项目中添加一个可以使用注解方式进行Bean注入的属性,代码如下: @Configuration public class DruidConfig { @Bean public ServletRegistrationBean druidServlet() { ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*"); Map<String,String> params = new HashMap<>(); params.put("loginUsername","admin"); params.put("loginPassword","admin"); params.put("allow",""); params.put("deny","192.168.1.100"); servletRegistrationBean.setInitParameters(params); return servletRegistrationBean; } @Bean public FilterRegistrationBean druidFilter() { FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(); filterRegistrationBean.setFilter(new WebStatFilter()); Map<String,String> params = new HashMap<>(); params.put("exclusions","*.js,*.css,/druid/*"); filterRegistrationBean.setInitParameters(params); filterRegistrationBean.setUrlPatterns(Arrays.asList("/*")); return filterRegistrationBean; } } 上述代码中@Bean注解用于实例化该Bean,其中的ServletRegistrationBean和FilterRegistrationBean分别用于配置Druid提供的Servlet和Filter,允许通过浏览器监控数据库状态和执行SQL语句。 DataSource配置 创建配置类后,需要将Druid连接池配置为Spring Boot应用程序的默认数据源。在application.properties或application.yml文件中添加以下DataSource配置: # 请自行修改jdbc连接池(密码) spring.datasource.url=jdbc:mysql://localhost:3306/test?useSSL=false&useUnicode=true&characterEncoding=utf-8 spring.datasource.username=root spring.datasource.password=root spring.datasource.driver-class-name=com.mysql.jdbc.Driver spring.datasource.type=com.alibaba.druid.pool.DruidDataSource spring.datasource.druid.initial-size=5 spring.datasource.druid.min-idle=5 spring.datasource.druid.max-active=20 spring.datasource.druid.test-on-borrow=true spring.datasource.druid.test-on-return=true spring.datasource.druid.test-while-idle=true spring.datasource.druid.validation-query=select 1 spring.datasource.druid.max-wait=60000 其中,spring.datasource.type是DataSource类型,druid相关配置则是Druid特有的配置。 使用Druid连接池 现在已经完成了Druid连接池的配置,可以在Spring Boot应用程序中使用Druid连接池了。只需要在需要访问数据库的Bean类中注入DataSource即可: @Autowired private DataSource dataSource; 测试Druid连接池 完成以上步骤后,就可以测试Druid连接池了。您可以在浏览器中输入http://localhost:8080/druid/index.html,然后输入DruidConfig.java文件中配置的用户名和密码(admin/admin),即可查看数据库的各种详细信息。 通过集成Druid连接池,我们可以轻松地监控和管理数据库连接,提高应用程序的性能和可靠性,这也是我们高效开发Java应用程序的重要工具之一。 ### 回答3: SpringBoot是一个一站式架构,具有简单和高效的特性。Druid是一种开源的数据库连接池。Druid池提供了丰富的监控和管理功能,可确保应用程序稳定,并且非常适用于高并发。 SpringBoot整合Druid可以实现系统的高效管理和优化数据处理。以下是关于如何整合SpringBoot框架和Druid连接池的步骤: 第一步:在pom.xml中添加Druid依赖关系: ``` <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.9</version> </dependency> ``` 第二步:在application.properties配置文件中增加Druid连接池的相关属性: ``` spring.datasource.type=com.alibaba.druid.pool.DruidDataSource spring.datasource.url=jdbc:mysql://localhost:3306/test_db?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&characterSetResults=utf-8&serverTimezone=UTC spring.datasource.username=root spring.datasource.password=root spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver #配置初始化大小、最小、最大连接数 spring.datasource.initialSize=2 spring.datasource.minIdle=2 spring.datasource.maxActive=20 #配置获取连接等待超时的时间 spring.datasource.maxWait=60000 #配置一个连接在池中最小生存的时间 spring.datasource.minEvictableIdleTimeMillis=300000 #配置从池中取出连接后是否进行测试 spring.datasource.testWhileIdle=true #连接测试时使用的SQL语句 spring.datasource.validationQuery=SELECT 1 from dual #配置监控统计拦截的filters,并去掉重连问题 spring.datasource.filters=stat,wall,log4j ``` Druid连接池中主要的核心参数有:driver、url、username、password等,这些参数可以对应不同类型的数据库连接。 第三步:在应用程式中加入Druid的监控器,以监听连接池的情况。我们可以通过配置Druid监控器来查看整个系统的监控数据,在web.xml文件中加入Druid的Servlet。 第四步:编写测试类,验证Druid连接池和SpringBoot框架是否集成起来。 ``` @SpringBootTest public class DruidTest { @Autowired private DataSource dataSource; @Test public void test() throws SQLException { System.out.println(dataSource.getConnection()); } } ``` 以上是整合SpringBoot框架和Druid连接池的步骤,可以让我们方便地管理和优化数据处理。Druid可以提供监控和管理功能,可以确保应用程序稳定,并且非常适用于处理高并发。整合后的应用程序可以提高应用程序的性能和可靠性。
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