SpringBoot學習:整合MyBatis,使用Druid連線池
阿新 • • 發佈:2019-01-11
專案下載地址:http://download.csdn.NET/detail/aqsunkai/9805821
(一)新增pom依賴:
(二)專案結構如下:<!-- https://mvnrepository.com/artifact/org.mybatis.spring.boot/mybatis-spring-boot-starter --> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.2.0</version> </dependency> <!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>6.0.6</version> </dependency> <!-- https://mvnrepository.com/artifact/com.alibaba/druid --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.29</version> </dependency>
mapper介面在java目錄下,相應的寫sql語句的xml在resource目錄下,在Application啟動類中加入註解:
@ServletComponentScan
@MapperScan("com.sun.**.mapper") //配置掃描mapper介面的地址
@ServletComponentScan 設定啟動時spring能夠掃描到我們自己編寫的servlet和filter, 用於Druid監控
@MapperScan 用於掃描的mapper介面
在配置檔案中加入:
# mybatis_config mybatis: mapper-locations: classpath:mapper/**/*.xml #datasource spring: datasource: name: era url: jdbc:mysql://localhost:3306/spring_boot?useUnicode=true&characterEncoding=UTF-8&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC username: root password: 123456 # 使用druid資料來源 type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.cj.jdbc.Driver # 下面為連線池的補充設定,應用到上面所有資料來源中 # 初始化大小,最小,最大 initialSize: 5 minIdle: 5 maxActive: 20 # 配置獲取連線等待超時的時間 maxWait: 60000 # 配置間隔多久才進行一次檢測,檢測需要關閉的空閒連線,單位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一個連線在池中最小生存的時間,單位是毫秒 minEvictableIdleTimeMillis: 300000 validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false # 開啟PSCache,並且指定每個連線上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 # 配置監控統計攔截的filters,去掉後監控介面sql無法統計,'wall'用於防火牆 spring.datasource.filters: stat,wall,log4j # 通過connectProperties屬性來開啟mergeSql功能;慢SQL記錄 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合併多個DruidDataSource的監控資料 #useGlobalDataSourceStat: true
用於掃描mybatis的對映檔案xml,和載入連線池
日誌檔案中加入:
<!--輸出sql語句-->
<logger name="com.sun" level="debug" />
用於在控制檯列印sql語句
DataSource的配置啟動管理類如下:
package com.sun.configuration; import com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; import com.alibaba.druid.support.spring.stat.DruidStatInterceptor; import org.springframework.aop.framework.autoproxy.BeanNameAutoProxyCreator; import org.springframework.boot.bind.RelaxedPropertyResolver; import org.springframework.boot.web.servlet.FilterRegistrationBean; import org.springframework.boot.web.servlet.ServletRegistrationBean; import org.springframework.context.EnvironmentAware; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.env.Environment; import org.springframework.transaction.annotation.EnableTransactionManagement; import javax.sql.DataSource; import java.sql.SQLException; import java.util.HashMap; import java.util.Map; @Configuration @EnableTransactionManagement /** * Druid的DataResource配置類 * 凡是被Spring管理的類,實現介面 EnvironmentAware 重寫方法 setEnvironment 可以在工程啟動時, * 獲取到系統環境變數和application配置檔案中的變數。 還有一種方式是採用註解的方式獲取 @value("${變數的key值}") * 獲取application配置檔案中的變數。 這裡採用第一種要方便些 * Created by sun on 2017-1-20. */ public class DruidDataSourceConfig implements EnvironmentAware { private RelaxedPropertyResolver propertyResolver; public void setEnvironment(Environment env) { this.propertyResolver = new RelaxedPropertyResolver(env, "spring.datasource."); } @Bean public DataSource dataSource() { DruidDataSource datasource = new DruidDataSource(); datasource.setUrl(propertyResolver.getProperty("url")); datasource.setDriverClassName(propertyResolver.getProperty("driver-class-name")); datasource.setUsername(propertyResolver.getProperty("username")); datasource.setPassword(propertyResolver.getProperty("password")); datasource.setInitialSize(Integer.valueOf(propertyResolver.getProperty("initialSize"))); datasource.setMinIdle(Integer.valueOf(propertyResolver.getProperty("minIdle"))); datasource.setMaxWait(Long.valueOf(propertyResolver.getProperty("maxWait"))); datasource.setMaxActive(Integer.valueOf(propertyResolver.getProperty("maxActive"))); datasource.setMinEvictableIdleTimeMillis( Long.valueOf(propertyResolver.getProperty("minEvictableIdleTimeMillis"))); try { datasource.setFilters("stat,wall"); } catch (SQLException e) { e.printStackTrace(); } return datasource; } @Bean public ServletRegistrationBean druidServlet() { ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(); servletRegistrationBean.setServlet(new StatViewServlet()); servletRegistrationBean.addUrlMappings("/druid/*"); Map<String, String> initParameters = new HashMap<String, String>(); // initParameters.put("loginUsername", "druid");// 使用者名稱 // initParameters.put("loginPassword", "druid");// 密碼 initParameters.put("resetEnable", "false");// 禁用HTML頁面上的“Reset All”功能 initParameters.put("allow", "127.0.0.1"); // IP白名單 (沒有配置或者為空,則允許所有訪問) // initParameters.put("deny", "192.168.20.38");// IP黑名單 // (存在共同時,deny優先於allow) servletRegistrationBean.setInitParameters(initParameters); return servletRegistrationBean; } @Bean public FilterRegistrationBean filterRegistrationBean() { FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(); filterRegistrationBean.setFilter(new WebStatFilter()); filterRegistrationBean.addUrlPatterns("/*"); filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*"); return filterRegistrationBean; } // 按照BeanId來攔截配置 用來bean的監控 @Bean(value = "druid-stat-interceptor") public DruidStatInterceptor DruidStatInterceptor() { DruidStatInterceptor druidStatInterceptor = new DruidStatInterceptor(); return druidStatInterceptor; } @Bean public BeanNameAutoProxyCreator beanNameAutoProxyCreator() { BeanNameAutoProxyCreator beanNameAutoProxyCreator = new BeanNameAutoProxyCreator(); beanNameAutoProxyCreator.setProxyTargetClass(true); // 設定要監控的bean的id //beanNameAutoProxyCreator.setBeanNames("sysRoleMapper","loginController"); beanNameAutoProxyCreator.setInterceptorNames("druid-stat-interceptor"); return beanNameAutoProxyCreator; } }
後臺執行在控制檯上輸出:
2017-04-07 21:25:15.904 INFO 10500 --- [io-8080-exec-10] c.s.p.controller.UserController : 哈哈哈
2017-04-07 21:25:15.908 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : ==> Preparing: select id, nickname, email, pswd, create_time, last_login_time, status from sys_user where id = ?
2017-04-07 21:25:15.911 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : ==> Parameters: 1(Integer)
2017-04-07 21:25:15.918 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : <== Total: 1
2017-04-07 21:25:15.920 INFO 10500 --- [io-8080-exec-10] c.s.p.controller.UserController : admin
在頁面上輸入http://localhost:8080/boot/druid/可以看到監控到的sql語句執行情況: