Druid以及监控界面的使用

Druid简介

Druid是一个拥有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仍然能够保持100%正常运行。创建Druid的最初意图主要是为了解决查询延时问题，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二采取了特殊的存储格式。

使用场景

1、需要交互式聚合和快速探究大量数据时；

2、需要实时查询分析时；

3、具有大量数据时，如每天数亿事件的新增、每天数10T数据的增加；

4、对数据尤其是大数据进行实时分析时；

5、需要一个高可用、高容错、高性能数据库时。

/*** @author xsj* druid配置类*/
@Configuration
public class DruidConfiguration {private static final Logger logger = LoggerFactory.getLogger(DruidConfiguration.class);private static final String DB_PREFIX = "spring.datasource";@Beanpublic 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;}@Beanpublic 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DataSourcepublic DataSource dataSource() {DruidDataSource datasource = new DruidDataSource();datasource.setUrl(url);datasource.setUsername(username);datasource.setPassword(password);datasource.setDriverClassName(driverClassName);//configurationdatasource.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;}}}

spring:datasource:url: jdbc:mysql://47.98.131.179:3306/bingfatest?useUnicode=true&characterEncoding=utf-8&useSSL=falseusername: rootpassword: rootdriverClassName: com.mysql.cj.jdbc.Driverplatform: mysqltype: 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: 1minIdle: 3maxActive: 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: 30000validationQuery: select 'x'testWhileIdle: truetestOnBorrow: falsetestOnReturn: false# 打开PSCache，并且指定每个连接上PSCache的大小poolPreparedStatements: truemaxPoolPreparedStatementPerConnectionSize: 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

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Druid以及监控界面的使用

Druid简介

使用场景

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