springboot集成druid數據源並且監控

Druid是Java語言中最好的數據庫連接池，並且能夠提供強大的監控和擴展功能。

業界把 Druid 和 HikariCP 做對比后，雖說 HikariCP 的性能比 Druid 高，但是因為 Druid 包括很多維度的統計和分析功能，所以這也是大家都選擇使用它的原因。

首先配置 druid maven 依賴

<dependency>
    <groupId>com.alibaba</groupId>
 <artifactId>druid</artifactId>
 <version>1.0.18</version>
</dependency>


配置 application.properties

#數據庫
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/my_data?useUnicode=true&characterEncoding=utf8
spring.datasource.username=root
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
#為實體對象所在的包，跟數據庫表一一對應
mybatis.typeAliasesPackage=com.exer.demo.entity
#mapper文件的位置
mybatis.mapperLocations=classpath:mapper/*.xml

# 下面為連接池的補充設置，應用到上面所有數據源中
# 初始化大小，最小，最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置獲取連接等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閑連接，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連接在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
# 校驗SQL，Oracle配置 spring.datasource.validationQuery=SELECT 1 FROM DUAL，如果不配validationQuery項，則下面三項配置無用
spring.datasource.validationQuery=SELECT 'x'
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打開PSCache，並且指定每個連接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置監控統計攔截的filters，去掉后監控界面sql無法統計，'wall'用於防火牆
spring.datasource.filters=stat,wall,log4j
# 通過connectProperties屬性來打開mergeSql功能；慢SQL記錄
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合並多個DruidDataSource的監控數據
spring.datasource.useGlobalDataSourceStat=true

@Configuration
public class DruidConfiguration {
 @Bean
 public ServletRegistrationBean DruidStatViewServle2() {
 //org.springframework.boot.context.embedded.ServletRegistrationBean提供類的進行注冊.
 ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid2/*");
 //添加初始化參數：initParams

 //白名單：
 servletRegistrationBean.addInitParameter("allow","192.168.1.106");
 //IP黑名單 (存在共同時，deny優先於allow) : 如果滿足deny的話提示:Sorry, you are not permitted to view this page.
 // servletRegistrationBean.addInitParameter("deny", "192.168.1.73");
 //登錄查看信息的賬號密碼.
 servletRegistrationBean.addInitParameter("loginUsername","admin");
 servletRegistrationBean.addInitParameter("loginPassword","123456");
 //是否能夠重置數據.
 servletRegistrationBean.addInitParameter("resetEnable","false");
 return servletRegistrationBean;
 }

 /**

 * 注冊一個：filterRegistrationBean

 * @return

 */

 @Bean
 public FilterRegistrationBean druidStatFilter2(){
 FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
 //添加過濾規則.
 filterRegistrationBean.addUrlPatterns("/*");
 //添加不需要忽略的格式信息.
 filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid2/*");
 return filterRegistrationBean;
 }

 }

 重啟啟動項目 http://192.168.1.106:8081/druid2/login.html   賬號和密碼： admin 123456

 

如果不使用代碼手動初始化DataSource的話，監控界面的SQL監控會沒有數據

 

這種情況下手動初始化 druid DataSource

@Value("${spring.datasource.url}")
private String dbUrl;
@Value("${spring.datasource.username}")
private String username;
@Value("${spring.datasource.password}")
private String password;
@Value("${spring.datasource.driver-class-name}")
private String driverClassName;
@Value("${spring.datasource.initialSize}")
private int initialSize;
@Value("${spring.datasource.minIdle}")
private int minIdle;
@Value("${spring.datasource.maxActive}")
private int maxActive;
@Value("${spring.datasource.maxWait}")
private int maxWait;
@Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
private int timeBetweenEvictionRunsMillis;
@Value("${spring.datasource.minEvictableIdleTimeMillis}")
private int minEvictableIdleTimeMillis;
@Value("${spring.datasource.validationQuery}")
private String validationQuery;
@Value("${spring.datasource.testWhileIdle}")
private boolean testWhileIdle;
@Value("${spring.datasource.testOnBorrow}")
private boolean testOnBorrow;
@Value("${spring.datasource.testOnReturn}")
private boolean testOnReturn;
@Value("${spring.datasource.poolPreparedStatements}")
private boolean poolPreparedStatements;
@Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
private int maxPoolPreparedStatementPerConnectionSize;
@Value("${spring.datasource.filters}")
private String filters;
@Value("${spring.datasource.connectionProperties}")
private String connectionProperties;
@Value("${spring.datasource.useGlobalDataSourceStat}")
private boolean useGlobalDataSourceStat;

@Bean     //聲明其為Bean實例
@Primary //在同樣的DataSource中，首先使用被標注的DataSource
public DataSource dataSource(){
 DruidDataSource datasource = new DruidDataSource();
 datasource.setUrl(this.dbUrl);
 datasource.setUsername(username);
 datasource.setPassword(password);
 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);
 datasource.setUseGlobalDataSourceStat(useGlobalDataSourceStat);
 try {
 datasource.setFilters(filters);
 } catch (SQLException e) {
 System.err.println("druid configuration initialization filter: "+ e);
 }
 datasource.setConnectionProperties(connectionProperties);
 return datasource;
}

 

SQL監控就可以看到執行信息了。