SpringCloud+Druid(数据库连接池)

SpringCloud+Druid(数据库连接池)

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/u013128651/article/details/79166285
Druid是Java语言中最好的数据库连接池。
Druid能够提供强大的监控和扩展功能。

Druid是一个用于大数据实时查询和分析的高容错、高性能开源分布式系统，旨在快速处理大规模的数据，并能够实现快速查询和分析。尤其是当发生代码部署、机器故障以及其他产品系统遇到宕机等情况时，Druid仍能够保持100%正常运行。创建Druid的最初意图主要是为了解决查询延迟问题，当时试图使用Hadoop来实现交互式查询分析，但是很难满足实时分析的需要。而Druid提供了以交互方式访问数据的能力，并权衡了查询的灵活性和性能而采取了特殊的存储格式。

来集成到项目中去吧

Maven

<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.0</version>
</dependency>
application.xml配置文件

## 数据源配置
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/zuoqing?serverTimezone=UTC&characterEncoding=utf8&useUnicode=true&useSSL=false
spring.datasource.username=root
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.jdbc.Driver

## Mybatis 配置（持久层框架自己选择）
mybatis.typeAliasesPackage=com.xiaobudiankeji.base.entity
mybatis.mapperLocations=classpath*:mapper/*.xml

#durid登陆账号密码
loginUsername=root
loginPassword=123456
# 下面为连接池的补充设置，应用到上面所有数据源中
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置获取连接等待超时的时间
spring.datasource.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
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROM DUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 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,防止sql注入
spring.datasource.filters=stat,wall,log4j
spring.datasource.logSlowSql=true

#http://localhost:8765/druid/sql.html 访问这个页面
DruidConfig.java Java code

/**
* Created by gaomin on 2017/12/1.
*/
@Configuration
public class DruidConfig {

private Logger logger = LoggerFactory.getLogger(DruidConfig.class);

@Value("${spring.datasource.url}")
private String dbUrl;

@Value("${spring.datasource.type}")
private String type;

@Value("${loginUsername}")
private String loginUsername;

@Value("${loginPassword}")
private String loginPassword;

@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.filters}")
private String filters;

@Value("${spring.datasource.logSlowSql}")
private String logSlowSql;

@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean reg = new ServletRegistrationBean();
reg.setServlet(new StatViewServlet());
reg.addUrlMappings("/druid/*");
reg.addInitParameter("loginUsername", loginUsername);
reg.addInitParameter("loginPassword", loginPassword);
reg.addInitParameter("logSlowSql", logSlowSql);
return reg;
}

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

@Bean
public DataSource druidDataSource() {
DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(dbUrl);
datasource.setUsername(username);
datasource.setPassword(password);
datasource.setDriverClassName(driverClassName);
datasource.setInitialSize(initialSize);
datasource.setMinIdle(minIdle);
datasource.setMaxActive(maxActive);
//datasource.setDbType(type);
datasource.setMaxWait(maxWait);
datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
datasource.setValidationQuery(validationQuery);
datasource.setTestWhileIdle(testWhileIdle);
datasource.setTestOnBorrow(testOnBorrow);
datasource.setTestOnReturn(testOnReturn);
try {
datasource.setFilters(filters);
} catch (SQLException e) {
logger.error("druid configuration initialization filter", e);
}
return datasource;
}

}
运行你的项目就可以访问http://localhost:8765/druid/sql.html (端口号)这个页面,可以查看sql执行时间,接口请求时间,超级多有用的信息,毕竟是阿里巴巴的开源项目,能不强大吗?
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作者：高小川
来源：CSDN
原文：https://blog.csdn.net/u013128651/article/details/79166285
版权声明：本文为博主原创文章，转载请附上博文链接！