Spring Boot [使用 Druid 数据库连接池]

导读

最近一段时间比较忙,以至于很久没有更新Spring Boot系列文章,恰好最近用到Druid, 就将Spring Boot 使用 Druid作为数据源做一个简单的介绍。

Druid介绍:

Druid是阿里巴巴开源的数据库连接池,Druid号称是Java语言中最好的数据库连接池,并且能够提供强大的监控和扩展功能,Druid的官方地址

了解更多:

JDBC连接池、监控组件 Druid (oschina)

快速上手:

下面来说明如何在 spring Boot 中配置使用Druid ,本例使用的持久层框为Spring Boot JPA。

第一步:添加pom依赖:

<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.20</version>
</dependency>

第二步:配置yml文件 数据源相关信息

spring:
datasource:
url: jdbc:mysql://localhost:3306/sanji-boot?useUnicode=true&characterEncoding=utf-8&useSSL=false
username: root
password: 123456
driver-class-name: com.mysql.jdbc.Driver
platform: mysql
type: com.alibaba.druid.pool.DruidDataSource
# 下面为连接池的补充设置,应用到上面所有数据源中
# 初始化大小,最小,最大
initialSize: 1
minIdle: 3
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: 30000
validationQuery: select 'x'
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打开PSCache,并且指定每个连接上PSCache的大小
poolPreparedStatements: true
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
filters: stat,wall,slf4j
# 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 jpa:
show-sql: true
properties:
hibernate:
hbm2ddl:
auto: create

第三步:配置Druid的监控统计功能

这里有两种方式 :
第一种方式@Confing注解 配置类:

@Configuration
public class DruidConfiguration { private static final Logger logger = LoggerFactory.getLogger(DruidConfiguration.class); private static final String DB_PREFIX = "spring.datasource"; @Bean
public ServletRegistrationBean druidServlet() {
logger.info("init Druid Servlet Configuration ");
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
// IP白名单
servletRegistrationBean.addInitParameter("allow", "192.168.2.25,127.0.0.1");
// IP黑名单(共同存在时,deny优先于allow)
servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
//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;
} //解决 spring.datasource.filters=stat,wall,log4j 无法正常注册进去
@ConfigurationProperties(prefix = DB_PREFIX)
class IDataSourceProperties {
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; @Bean //声明其为Bean实例
@Primary //在同样的DataSource中,首先使用被标注的DataSource
public DataSource dataSource() {
DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(url);
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);
try {
datasource.setFilters(filters);
} catch (SQLException e) {
System.err.println("druid configuration initialization filter: " + e);
}
datasource.setConnectionProperties(connectionProperties);
return datasource;
} 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;
}
} }

第二种方式基于注解的配置:

首先在启动类上加上注解:@ServletComponentScan使Spring能够扫描到我们自己编写的servlet和filter。

//druid数据源状态监控.
@WebServlet(urlPatterns = "/druid/*",
initParams = {
// IP白名单 (没有配置或者为空,则允许所有访问)
@WebInitParam(name = "allow", value = "192.168.1.72,127.0.0.1"),
// IP黑名单 (存在共同时,deny优先于allow)
@WebInitParam(name = "deny", value = "192.168.1.73"),
// 用户名
@WebInitParam(name = "loginUsername", value = "admin"),
// 密码
@WebInitParam(name = "loginPassword", value = "admin"),
// 禁用HTML页面上的“Reset All”功能
@WebInitParam(name = "resetEnable", value = "false")
}
)
public class DruidStatViewServlet extends StatViewServlet { }
// druid过滤器.
@WebFilter(filterName = "druidWebStatFilter", urlPatterns = "/*",
initParams = {
// 忽略资源
@WebInitParam(name = "exclusions", value = "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")
}
)
public class DruidStatFilter extends WebStatFilter {
}

等应用启动后,可以访问地址:http://localhost:8080/druid/,登录之后,即可查看数据源及SQL统计等。 
效果图如下:
Spring Boot [使用 Druid 数据库连接池]

参考资料:

官方地址
Spring Boot 使用 Druid
Spring Boot集成Druid数据库连接池
SPRING BOOT使用DRUID和监控配置方法

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