【SpringBoot笔记】SpringBoot整合Druid数据连接池
废话少说,按SpringBoot的老套路来。
【step1】:添加依赖
<!-- 数据库连接池 --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.25</version> </dependency>
【step2】:application.yml中添加对应配置
spring: datasource: driverClassName: com.mysql.jdbc.Driver url: jdbc:mysql://对应自己的数据库连接 username: xxx password: xxx ######################### Druid连接池的配置信息 ################# spring.druid.initialSize: 5 #初始化连接大小 spring.druid.minIdle: 5 #最小连接池数量 spring.druid.maxActive: 20 #最大连接池数量 spring.druid.maxWait: 60000 #获取连接时最大等待时间,单位毫秒 spring.druid.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 spring.druid.minEvictableIdleTimeMillis: 300000 #配置一个连接在池中最小生存的时间,单位是毫秒 spring.druid.validationQuery: SELECT 1 FROM DUAL #测试连接 spring.druid.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 spring.druid.testOnBorrow: false #获取连接时执行检测,建议关闭,影响性能 spring.druid.testOnReturn: false #归还连接时执行检测,建议关闭,影响性能 spring.druid.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 spring.druid.maxPoolPreparedStatementPerConnectionSize: 20 #开启poolPreparedStatements后生效 spring.druid.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 spring.druid.connectionProperties: 'druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000' #通过connectProperties属性来打开mergeSql功能;慢SQL记录
【step3】:java代码中读取配置,并做相关转换(比如数据库密码加解密等,这里省略)
import java.sql.SQLException; import javax.sql.DataSource; import org.springframework.beans.factory.annotation.Value; import org.springframework.boot.context.embedded.FilterRegistrationBean; import org.springframework.boot.context.embedded.ServletRegistrationBean; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Primary; import com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; @Configuration public class DruidConfiguration { @Value("${spring.datasource.url}") private String url; @Value("${spring.datasource.username}") private String username; @Value("${spring.datasource.password}") private String password; @Value("${spring.datasource.driverClassName}") private String driverClassName; @Value("${spring.druid.initialSize}") private int initialSize; @Value("${spring.druid.minIdle}") private int minIdle; @Value("${spring.druid.maxActive}") private int maxActive; @Value("${spring.druid.maxWait}") private int maxWait; @Value("${spring.druid.timeBetweenEvictionRunsMillis}") private int timeBetweenEvictionRunsMillis; @Value("${spring.druid.minEvictableIdleTimeMillis}") private int minEvictableIdleTimeMillis; @Value("${spring.druid.validationQuery}") private String validationQuery; @Value("${spring.druid.testWhileIdle}") private boolean testWhileIdle; @Value("${spring.druid.testOnBorrow}") private boolean testOnBorrow; @Value("${spring.druid.testOnReturn}") private boolean testOnReturn; @Value("${spring.druid.poolPreparedStatements}") private boolean poolPreparedStatements; @Value("${spring.druid.maxPoolPreparedStatementPerConnectionSize}") private int maxPoolPreparedStatementPerConnectionSize; @Value("${spring.druid.filters}") private String filters; @Value("{spring.druid.connectionProperties}") private String connectionProperties; @Bean @Primary public DataSource dataSource() { DruidDataSource datasource = new DruidDataSource(); datasource.setUrl(url); datasource.setUsername(username); datasource.setPassword(password); //这里可以做加密处理 datasource.setDriverClassName(driverClassName); //configuration 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) { } datasource.setConnectionProperties(connectionProperties); return datasource; } @Bean public ServletRegistrationBean statViewServlet(){ ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*"); servletRegistrationBean.addInitParameter("allow","127.0.0.1"); //设置ip白名单 servletRegistrationBean.addInitParameter("deny","192.168.0.19");//设置ip黑名单,优先级高于白名单 //设置控制台管理用户 servletRegistrationBean.addInitParameter("loginUsername","root"); servletRegistrationBean.addInitParameter("loginPassword","root"); //是否可以重置数据 servletRegistrationBean.addInitParameter("resetEnable","false"); return servletRegistrationBean; } @Bean public FilterRegistrationBean statFilter(){ //创建过滤器 FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter()); //设置过滤器过滤路径 filterRegistrationBean.addUrlPatterns("/*"); //忽略过滤的形式 filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"); return filterRegistrationBean; } }
【step4】:测试
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posted on 2018-05-17 18:13 funnyboy0128 阅读(15955) 评论(0) 编辑 收藏 举报