目录摘要一、告警分析概述1.1 分析目标1.2 分析维度1.3 分析指标二、告警统计2.1 按时间统计2.2 按设备统计2.3 按类型统计2.4 按级别统计三、趋势分析3.1 告警趋势3.2 同比环比3.3 预测分析四、根因分析4.1 告警关联分析4.2 根因识别4.3 影响范围分析五、效果评估5.1 响应时间分析5.2 处理时间分析5.3 告警质量评估六、告警报告6.1 日报6.2 周报6.3 月报七、实战案例7.1 完整告警分析系统八、总结参考资料摘要本文深入讲解DolphinDB告警分析技术。从告警统计到趋势分析从根因定位到效果评估从告警报告到持续改进全面介绍告警分析的核心方法。通过丰富的代码示例帮助读者掌握告警统计与趋势分析的核心技能。一、告警分析概述1.1 分析目标告警分析目标告警统计优化告警趋势分析根因定位1.2 分析维度维度说明时间维度按时间统计告警设备维度按设备统计告警类型维度按告警类型统计级别维度按告警级别统计1.3 分析指标指标计算方式告警数量告警总数告警率告警数/设备数响应时间平均响应时间处理时间平均处理时间二、告警统计2.1 按时间统计//按小时统计defhourlyAlertStats(date){returnselect bar(alert_time,1h)ashour,count(*)asalert_count,count(distinct device_id)asdevice_countfromalert_log where date(alert_time)date group by bar(alert_time,1h)}//按天统计defdailyAlertStats(startDate,endDate){returnselect date(alert_time)asdate,count(*)asalert_count,sum(iif(level1,1,0))ascritical_count,sum(iif(level2,1,0))aswarning_countfromalert_log where date(alert_time)between startDateandendDate group by date(alert_time)}//按周统计defweeklyAlertStats(weeks4){returnselect week(alert_time)asweek,count(*)asalert_countfromalert_log where alert_timenow()-weeks*7*86400000group by week(alert_time)}2.2 按设备统计//按设备统计defdeviceAlertStats(startTime,endTime){returnselect device_id,count(*)asalert_count,avg(level)asavg_level,min(alert_time)asfirst_alert,max(alert_time)aslast_alertfromalert_log where alert_time between startTimeandendTime group by device_id order by alert_count desc}//Top N告警设备deftopAlertDevices(limit10){returnselect device_id,count(*)asalert_countfromalert_log where alert_timenow()-86400000group by device_id order by alert_count desc limit limit}2.3 按类型统计//按告警类型统计deftypeAlertStats(startTime,endTime){returnselect rule_id,count(*)asalert_count,avg(value)asavg_value,max(value)asmax_valuefromalert_log where alert_time between startTimeandendTime group by rule_id order by alert_count desc}2.4 按级别统计//按级别统计deflevelAlertStats(startTime,endTime){returnselect level,count(*)asalert_count,count(*)*100.0/(select count(*)fromalert_log where alert_time between startTimeandendTime)aspercentagefromalert_log where alert_time between startTimeandendTime group by level}三、趋势分析3.1 告警趋势//告警趋势defalertTrend(days7){returnselect date(alert_time)asdate,count(*)asalert_count,mavg(count(*),7)over(order by date(alert_time))asmoving_avgfromalert_log where alert_timenow()-days*86400000group by date(alert_time)}3.2 同比环比//同比分析defyearOverYear(metric){nownow()currentgetAlertCount(now-86400000,now)lastYeargetAlertCount(now-365*86400000,now-364*86400000)returndict(STRING,ANY,[[current,current],[lastYear,lastYear],[change,(current-lastYear)*100.0/lastYear]])}//环比分析defmonthOverMonth(){nownow()currentgetAlertCount(now-86400000,now)lastMonthgetAlertCount(now-60*86400000,now-59*86400000)returndict(STRING,ANY,[[current,current],[lastMonth,lastMonth],[change,(current-lastMonth)*100.0/lastMonth]])}defgetAlertCount(startTime,endTime){returnexeccount(*)fromalert_log where alert_time between startTimeandendTime}3.3 预测分析//告警预测defpredictAlerts(days7){//获取历史数据 dataselect date(alert_time)asdate,count(*)ascountfromalert_log where alert_timenow()-30*86400000group by date(alert_time)order by dateif(data.rows()7){return0}//简单移动平均预测returnavg(data.count[-7:])}四、根因分析4.1 告警关联分析//告警关联分析defcorrelationAnalysis(timeWindow300){alertsselect*fromalert_log where alert_timenow()-timeWindow*1000order by alert_time correlationsdict(STRING,INT)for(iin0..alerts.rows()-1){for(jini1..alerts.rows()-1){if(alerts[j].alert_time-alerts[i].alert_time60000){keyalerts[i].rule_id_alerts[j].rule_id correlations[key]correlations.get(key,0)1}}}returncorrelations}4.2 根因识别//识别根因defidentifyRootCause(timeWindow600){alertsselect*fromalert_log where alert_timenow()-timeWindow*1000order by alert_time rootCausesarray(STRING,0)for(alertinalerts){//检查是否触发其他告警 subsequentAlertsselect count(*)fromalerts where alert_timealert.alert_timeandalert_timealert.alert_time60000if(subsequentAlerts2){rootCauses.append!(alert.alert_id)}}returnrootCauses}4.3 影响范围分析//影响范围分析defimpactAnalysis(alertId){alertselect*fromalert_log where alert_idalertIdif(alert.rows()0){returnnull}//查找后续告警 subsequentselect*fromalert_log where alert_timealert.alert_time[0]andalert_timealert.alert_time[0]600000returndict(STRING,ANY,[[sourceAlert,alert[0]],[affectedDevices,distinct(subsequent.device_id)],[affectedCount,subsequent.rows()]])}五、效果评估5.1 响应时间分析//响应时间统计defresponseTimeStats(startTime,endTime){returnselect avg(ack_time-alert_time)asavg_response_time,min(ack_time-alert_time)asmin_response_time,max(ack_time-alert_time)asmax_response_timefromalert_log where alert_time between startTimeandendTimeandack_timeisnotnull}5.2 处理时间分析//处理时间统计defresolutionTimeStats(startTime,endTime){returnselect avg(resolve_time-alert_time)asavg_resolution_time,min(resolve_time-alert_time)asmin_resolution_time,max(resolve_time-alert_time)asmax_resolution_timefromalert_log where alert_time between startTimeandendTimeandresolve_timeisnotnull}5.3 告警质量评估//告警质量评估defalertQualityAssessment(){totalexeccount(*)fromalert_log where alert_timenow()-86400000acknowledgedexeccount(*)fromalert_log where alert_timenow()-86400000andstatus!newresolvedexeccount(*)fromalert_log where alert_timenow()-86400000andstatusresolvedreturndict(STRING,ANY,[[total,total],[acknowledged,acknowledged],[resolved,resolved],[ackRate,acknowledged*100.0/total],[resolveRate,resolved*100.0/total]])}六、告警报告6.1 日报//生成日报defgenerateDailyReport(date){statsdailyAlertStats(date,date)topDevicestopAlertDevices(10)qualityalertQualityAssessment()returndict(STRING,ANY,[[date,date],[stats,stats],[topDevices,topDevices],[quality,quality]])}6.2 周报//生成周报defgenerateWeeklyReport(weekStart){weekEndweekStart6statsdailyAlertStats(weekStart,weekEnd)trendalertTrend(7)topTypestypeAlertStats(weekStart,weekEnd)returndict(STRING,ANY,[[weekStart,weekStart],[weekEnd,weekEnd],[stats,stats],[trend,trend],[topTypes,topTypes]])}6.3 月报//生成月报defgenerateMonthlyReport(month){statslevelAlertStats(month[0],month[-1])devicesdeviceAlertStats(month[0],month[-1])yoyyearOverYear(alerts)returndict(STRING,ANY,[[month,month],[stats,stats],[devices,devices],[yoy,yoy]])}七、实战案例7.1 完整告警分析系统//告警分析系统//1.创建告警表 share table(1:0,alert_idrule_iddevice_idalert_timemetricvaluethresholdlevelstatusack_timeresolve_time,[STRING,STRING,SYMBOL,TIMESTAMP,STRING,DOUBLE,DOUBLE,INT,STRING,TIMESTAMP,TIMESTAMP])asalert_log//2.统计接口defgetAlertDashboard(){nownow()returndict(STRING,ANY,[[today,execcount(*)fromalert_log where date(alert_time)date(now)],[week,execcount(*)fromalert_log where alert_timenow-7*86400000],[month,execcount(*)fromalert_log where alert_timenow-30*86400000],[critical,execcount(*)fromalert_log where level1andstatusnew],[warning,execcount(*)fromalert_log where level2andstatusnew]])}addFunctionView(getAlertDashboard)//3.趋势接口defgetAlertTrend(days7){returnselect date(alert_time)asdate,count(*)ascountfromalert_log where alert_timenow()-days*86400000group by date(alert_time)}addFunctionView(getAlertTrend)//4.Top设备defgetTopDevices(limit10){returnselect device_id,count(*)asalert_countfromalert_log where alert_timenow()-86400000group by device_id order by alert_count desc limit limit}addFunctionView(getTopDevices)print(告警分析系统启动完成)八、总结本文详细介绍了DolphinDB告警分析告警统计时间、设备、类型、级别统计趋势分析告警趋势、同比环比、预测分析根因分析关联分析、根因识别、影响范围效果评估响应时间、处理时间、质量评估告警报告日报、周报、月报思考题如何提高告警分析的准确性如何设计有效的告警报告如何实现告警的持续改进参考资料DolphinDB统计分析DolphinDB时间序列