=NULL| convert timeformat="%Y-%m-%d"ctime(_time) ASdate| stats count as date_count bydate,port|stats median(date_count) as median_count max(date_count) as max_count avg(date_count) as avg_count by dport|eval avg_deviation=max_count/avg_count|eval median_deviation=max_count/median_co...
在这个例子中,stats sum(count) as total_count by _time 计算了每个时间点的总计,然后 timechart 将这些总计按小时进行可视化。 添加百分比列 要添加百分比列,你需要先计算每个时间点的值占总计的百分比。这可以通过以下方式实现: 代码语言:txt 复制 index=main sourcetype=syslog earliest=-24h@h | stats ...
=NULL| convert timeformat="%Y-%m-%d"ctime(_time) ASdate| stats count as date_count bydate,port|stats median(date_count) as median_count max(date_count) as max_count avg(date_count) as avg_count by dport|eval avg_deviation=max_count/avg_count|eval median_deviation=max_count/median_co...
index="tutorialdata" sourcetype="access_combined_wcookie" status=200 "action=purchase" | timechart count by host [可以看到以每天作为时间分隔统计,在每24小时中满足条件的通过host字段进行统计] index="tutorialdata" sourcetype="access_combined_wcookie" status=200 "action=purchase" | timechart span=8h...
| project _time, category, count_i, count_total 3.9Join join 在Splunk有很大的局限性。子查询的结果限制为10,000(在部署配置文件中设置),并且可用的join类型数量有限。 产品操作符案例 Splunk join Event.Rule=120103* | stats by Client.Id, Data.Alias| join Client.Id max=0 [search earliest=-24h ...
实现灵活应对。拥有一个DevOps专家团队可以实现在最少时间服务中断的情况下实现IT基础设施的动态伸缩。
name="*.uber.com"|stats values(name)by value|iplocation value|geostats count by City 这将得到如下所示结果: 当然,有时这样做可能没有多大用处,但的确却可以立刻获悉目标服务器的地理位置。 如果需要对攻击目标组织在特定国家/地区内的服务器进行精确打击的话,则可以使用Splunk来进行相应的过滤: ...
source="*access*" | stats count, sparkline(count) as sparkline by action | sort -count index=main source="*access*" | stats count, sparkline(count, 1h) as sparkline by action | sort -count timechart 统计每日UV访问趋势 index=main source=*access*| timechart dc(clientip) AS unique_visito...
query><earliest>$myTime.earliest$</earliest><latest>$myTime.latest$</latest></search><optionname="count">15</option><optionname="drilldown">row</option><optionname="refresh.display">progressbar</option><optionname="rowNumbers">false</option><optionname="totalsRow">true</option><optionname...
(sum(passed_count) + sum(failed_count))) * 100)), 2) as failed_percentage, round(to_char(sum(total_response_time)/(sum(passed_count) + sum(failed_count))), 2) as total_response_time, max(max_response_time) as max_response_time from radius_authentication_summary group by access...