[elk]logstash统计api访问失败率
处理原始日志
日志从moogoo导出来的
{ "mobile" : "13612345678", "isp" : "中国移动_广东", "time" : ISODate("2017-10-16T18:39:51.245Z"), "success" : true }
要解决时间问题:
logstash修改时间
发现日志已是json格式,想用date插件实现time字段赋值给@timestap字段,未果.(因为之前做的都是非json格式日志的时间匹配,先grok 后date)
改造日志为:
{"mobile" : "15812345606", "province": "上海", "isp": "中国移动","@timestamp" : "2017-12-06T09:30:51.244Z", "success" : "false"}
{"mobile" : "15812345607", "province": "河北", "isp": "中国移动","@timestamp" : "2017-12-06T09:20:51.244Z", "success" : "true"}
{"mobile" : "15812345607", "province": "河北", "isp": "中国联通","@timestamp" : "2017-12-06T09:22:51.244Z", "success" : "false"}
{"mobile" : "15812345608", "province": "广东", "isp": "中国移动","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : "true"}
{"mobile" : "15812345608", "province": "广东", "isp": "中国移动","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : "false"}
{"mobile" : "15812345608", "province": "广东", "isp": "中国电信","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : "false"}
这样日志@timestamp的时间就是日志文件的时间了.
统一日志统计需求
上面的几幅图基本说明了问题:三级分, 第一级: 按照省份分 第二级: 按照isp分 第三级: 每个isp的标出成功失败比例
进一步处理日志:
mutate 拆封字段
input { stdin { codec => "json" } }
filter {
if [success] == "true" { // 这里true必须是字符串,否则lg启动会报错
mutate { rename => ["sucess", "status_true"] }
}
else {
mutate { rename => ["sucess", "status_false"] }
}
}
output {
stdout { codec => rubydebug }
elasticsearch {
hosts => [ "localhost:9200" ]
}
}
即把日志的 "success" : "false" 拆分成2个字段:
status_true:true
status_false:false
中途遇到的问题:
-
codec => json失效.
原因是: json数据中间本来逗号 不小心少了个逗号 -
mutate 没成功
日志是
{"mobile" : "15812345608", "province": "广东", "isp": "中国电信","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : false}
改日志为
# 最后一个字段改成字符串即可
{"mobile" : "15812345608", "province": "广东", "isp": "中国电信","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : "false"}
最终日志入库展示
接下来就是kibana出图了
但目标是
目前还没实现百分比.
既然他能分两级我就这样排序: 能看到个数了
todo: 研究百分比
{"mobile" : "15812345606", "isp": "上海_中国移动","@timestamp" : "2017-12-06T09:30:51.244Z", "success" : false}
{"mobile" : "15812345607", "isp": "河北_中国移动","@timestamp" : "2017-12-06T09:20:51.244Z", "success" : true}
{"mobile" : "15812345607", "isp": "河北_中国联通","@timestamp" : "2017-12-06T09:22:51.244Z", "success" : false}
{"mobile" : "15812345608", "isp": "广东_中国移动","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : true}
{"mobile" : "15812345608", "isp": "广东_中国移动","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : false}
{"mobile" : "15812345608", "isp": "广东_中国电信","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : false}
{"mobile" : "15812345608", "isp": "广东_中国电信","@timestamp" : "2017-12-06T09:23:51.244Z", "success" : true}
最后折衷了下,采用目前方案
绘制方法: