本篇文章为大家展示了数据库数据源监控的类型有哪些,内容简明扼要并且容易理解,绝对能使你眼前一亮,通过这篇文章的详细介绍希望你能有所收获。
创新互联作为成都网站建设公司,专注成都网站建设、网站设计,有关成都企业网站建设方案、改版、费用等问题,行业涉及成都发电机维修等多个领域,已为上千家企业服务,得到了客户的尊重与认可。
问题:
众所周知,alibaba druid提供了比较完善的数据库监控,但是也是有比较明显的劣势(比如:数据源的连接数等在监控页面只能看到那瞬间的值等),不能持久化监控以及和公司内部监控告警集成
解决:
通过内部druid监控方法
private class DruidStatsThread extends Thread { public DruidStatsThread(String name) { super(name); this.setDaemon(true); } @Override public void run() { long initialDelay = metricDruidProperties.getInitialDelay() * 1000; if (initialDelay > 0) { MwThreadUtil.sleep(initialDelay); } while (!this.isInterrupted()) { try { try { SetdruidDataSources = DruidDataSourceStatManager.getDruidDataSourceInstances(); Optional.ofNullable(druidDataSources).ifPresent(val -> val.forEach(druidDataSource -> { DruidDataSourceStatValue statValue = druidDataSource.getStatValueAndReset(); long maxWaitMillis = druidDataSource.getMaxWait();//最大等待时间 long waitThreadCount = statValue.getWaitThreadCount();//当前等待获取连接的线程数 long notEmptyWaitMillis = statValue.getNotEmptyWaitMillis();//获取连接时累计等待多长时间 long notEmptyWaitCount = statValue.getNotEmptyWaitCount();//获取连接时累计等待多少次' int maxActive = druidDataSource.getMaxActive();//最大活跃数 int poolingCount = statValue.getPoolingCount();//当前连接池数 int poolingPeak = statValue.getPoolingPeak();//连接池峰值 int activeCount = statValue.getActiveCount();//当前活跃连接数 int activePeak = statValue.getActivePeak();//活跃数峰值 if (Objects.nonNull(statsDClient)) { URI jdbcUri = parseJdbcUrl(druidDataSource.getUrl()); Optional.ofNullable(jdbcUri).ifPresent(val2 -> { String host = StringUtils.replaceChars(val2.getHost(), '.', '_'); String prefix = METRIC_DRUID_PREFIX + host + '.' + val2.getPort() + '.'; statsDClient.recordExecutionTime(prefix + "maxWaitMillis", maxWaitMillis); statsDClient.recordExecutionTime(prefix + "waitThreadCount", waitThreadCount); statsDClient.recordExecutionTime(prefix + "notEmptyWaitMillis", notEmptyWaitMillis); statsDClient.recordExecutionTime(prefix + "notEmptyWaitCount", notEmptyWaitCount); statsDClient.recordExecutionTime(prefix + "maxActive", maxActive); statsDClient.recordExecutionTime(prefix + "poolingCount", poolingCount); statsDClient.recordExecutionTime(prefix + "poolingPeak", poolingPeak); statsDClient.recordExecutionTime(prefix + "activeCount", activeCount); statsDClient.recordExecutionTime(prefix + "activePeak", activePeak); }); } else { druidDataSource.logStats(); } })); } catch (Exception e) { logger.error("druid stats exception", e); } TimeUnit.SECONDS.sleep(metricDruidProperties.getStatsInterval()); } catch (InterruptedException e) { Thread.currentThread().interrupt(); logger.info("metric druid interrupt exit..."); } catch (Exception e) { logger.error("metric druid exception...", e); } } } } private URI parseJdbcUrl(String url) { if (StringUtils.isBlank(url) || !StringUtils.startsWith(url, "jdbc:")) { return null; } String cleanURI = url.substring(5); return URI.create(cleanURI); }
问题:
针对Hikari数据源,没有统一的监控处理,但是,提供了JMX入口,同理,持久化在监控服务上
解决:
private class HikariStatsThread extends Thread { public HikariStatsThread(String name) { super(name); this.setDaemon(true); } @Override public void run() { long initialDelay = metricHikariProperties.getInitialDelay() * 1000; if (initialDelay > 0) { MwThreadUtil.sleep(initialDelay); } while (!this.isInterrupted()) { try { Optional.ofNullable(hikariDataSources).ifPresent(val -> val.forEach(hikariDataSource -> { URI jdbcUri = parseJdbcUrl(hikariDataSource.getJdbcUrl()); Optional.ofNullable(jdbcUri).ifPresent(val2 -> { String host = StringUtils.replaceChars(val2.getHost(), '.', '_'); String prefix = METRIC_HIKARI_PREFIX + host + '.' + val2.getPort() + '.'; PoolStatBean poolStatBean = PoolStatBean.builder().build(); HikariPoolMXBean hikariPoolMXBean = hikariDataSource.getHikariPoolMXBean(); Optional.ofNullable(hikariPoolMXBean).ifPresent(val3 -> { int activeConnections = val3.getActiveConnections(); int idleConnections = val3.getIdleConnections(); int totalConnections = val3.getTotalConnections(); int threadsAwaitingConnection = val3.getThreadsAwaitingConnection(); poolStatBean.setActiveConnections(activeConnections); poolStatBean.setIdleConnections(idleConnections); poolStatBean.setTotalConnections(totalConnections); poolStatBean.setThreadsAwaitingConnection(threadsAwaitingConnection); }); HikariConfigMXBean hikariConfigMXBean = hikariDataSource.getHikariConfigMXBean(); Optional.ofNullable(hikariConfigMXBean).ifPresent(val3 -> { int maximumPoolSize = val3.getMaximumPoolSize(); int minimumIdle = val3.getMinimumIdle(); poolStatBean.setMaximumPoolSize(maximumPoolSize); poolStatBean.setMinimumIdle(minimumIdle); }); statsPool(prefix, poolStatBean); }); })); TimeUnit.SECONDS.sleep(metricHikariProperties.getStatsInterval()); } catch (InterruptedException e) { Thread.currentThread().interrupt(); logger.info("metric hikari interrupt exit..."); } catch (Exception e) { logger.error("metric hikari exception...", e); } } } } private void statsPool(String prefix, PoolStatBean poolStatBean) { if (Objects.nonNull(statsDClient)) { statsDClient.recordExecutionTime(prefix + "activeConnections", poolStatBean.getActiveConnections()); statsDClient.recordExecutionTime(prefix + "idleConnections", poolStatBean.getIdleConnections()); statsDClient.recordExecutionTime(prefix + "totalConnections", poolStatBean.getTotalConnections()); statsDClient.recordExecutionTime(prefix + "threadsAwaitingConnection", poolStatBean.getThreadsAwaitingConnection()); statsDClient.recordExecutionTime(prefix + "maximumPoolSize", poolStatBean.getMaximumPoolSize()); statsDClient.recordExecutionTime(prefix + "minimumIdle", poolStatBean.getMinimumIdle()); return; } StringBuilder sBuilder = new StringBuilder(16); sBuilder.append(prefix + "activeConnections => [" + poolStatBean.getActiveConnections() + "],"); sBuilder.append(prefix + "idleConnections => [" + poolStatBean.getIdleConnections() + "],"); sBuilder.append(prefix + "totalConnections => [" + poolStatBean.getTotalConnections() + "],"); sBuilder.append(prefix + "threadsAwaitingConnection => [" + poolStatBean.getThreadsAwaitingConnection() + "],"); sBuilder.append(prefix + "maximumPoolSize => [" + poolStatBean.getMaximumPoolSize() + "],"); sBuilder.append(prefix + "minimumIdle => [" + poolStatBean.getMinimumIdle() + "]"); logger.info(sBuilder.toString()); } private URI parseJdbcUrl(String url) { if (StringUtils.isBlank(url) || !StringUtils.startsWith(url, "jdbc:")) { return null; } String cleanURI = url.substring(5); return URI.create(cleanURI); } @Data @Builder private static class PoolStatBean { private int activeConnections; private int idleConnections; private int totalConnections; private int threadsAwaitingConnection; private int maximumPoolSize; private int minimumIdle; }
注:以上只是提供一种解决方案
上述内容就是数据库数据源监控的类型有哪些,你们学到知识或技能了吗?如果还想学到更多技能或者丰富自己的知识储备,欢迎关注创新互联行业资讯频道。