1. Logstash
具体讲解大家可以看文档:https://www.elastic.co/guide/en/logstash/current/index.html
在logback对应的配置文件logback-spring.xml中配置如下内容:
注意encoder标签中对应的三个字段:requestUrl,traceId和clientIp,这三个是在要求在输出日志中增加这三个标签,和logback对应的默认输出合并,对应的输出结果为:
具体对应conf配置如下:
input {
file {
type =>"XXX_kccf_pc_info" ------对应的elasticsearch索引type值
path => "/data/log/kccf_pc_info.*.log" ------输入日志
start_position => "beginning"
codec => json {
charset => "UTF-8"
}
}
}
filter {
if[type] == "XXX_kccf_pc_info"
{
if "method=HEAD" in [requestUrl] { ----------如果是心跳检查(head)在不会将日志拉取到elasticSearch
drop {}
}
mutate {
split =>["[requestUrl]",","]
}
}
geoip {
source => "ip"
target => "geoip"
}
}
filter {
if[type] == "XXX_kccf_pc_info"
{
if [level] == "ERROR" and "PARAM_NO_PRIVILEGE" notin [message] and "ERROR-START" not in [message]
{
mutate {
add_tag => "email"}
}
}
geoip{
source=> "ip"
target => "geoip"
}
}
output {
if[type] == "XXX_kccf_pc_info"{
elasticsearch {
hosts => "XXXXX"
index => "XXXX-%{+YYYY.MM.dd}" ------elasticsearch对应的索引名称
sniffing => false
manage_template => false
flush_size => 3000
idle_flush_time => 5
user => "logstash"
password => "logstash"
# ssl => true
# ssl_certificate_verification => false
# truststore => "/etc/logstash/truststore.jks"
# truststore_password => changeit
}
}
if"email" in [tags] and [type] =="XXX_kccf_pc_info"
{
email{ ---------------------发送错误日志邮件
port => "587"
address => "smtp.XXXX.com"
username => "[email protected]"
password => "xxxxxx"
authentication => "login"
use_tls => true
from => "[email protected]"
subject => "Waring: you have an error on host101.201.118.236(TYJ1)"
to => "[email protected]"
via => "smtp"
body => "you hava an error ofkccf_pc_info! server_ip:XXX\n ERROR time: %{@timestamp}+08:00Hours ; \n ERROR message: %{message} ; \nLogger Name: %{logger_name}; \n Level:%{level} ; \n level_value:%{level_value}; \n Stack_trace : \n %{stack_trace}\n "
}
}
}
详细内容参见:https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html
Elasticsearch集群可以包含多个索引(数据库),这些索引又包含多个类型(表)。这些类型包含多个文档(行),每个文档都有多个字段(列)。
下载和详细内容参见:https://github.com/mobz/elasticsearch-head
可以查看elasticsearch服务器上各种信息
下载和详细内容参见:https://github.com/floragunncom/search-guard
从对应配置文件名称就可以看出来,就主要有以下主要关系:
详细说明参见:https://www.elastic.co/guide/en/elasticsearch/reference/5.6/search-request-script-fields.html
就是可以根据脚本动态的在ElasticSearch中生成对应的field,而不是一开始就在mapping中定义的好的,后面在kibana配置大盘的时候会用到。
脚本语言详解:https://www.elastic.co/guide/en/elasticsearch/reference/5.4/modules-scripting-painless.html
下载和详细内容详解:https://www.elastic.co/guide/en/kibana/current/index.html
插件下载地址和详细说明参见:https://github.com/floragunncom/search-guard-kibana-plugin
插件下载和详细说明地址:https://github.com/sirensolutions/sentinl/issues/137
配置地址可以参考:http://blog.51cto.com/10546390/2051676
注意:邮件配置的时候一定是授权码,不是密码,否则报授权失败
详细内容查看:https://www.elastic.co/guide/en/kibana/5.4/search.html
AND,OR,NOT,范围查询语法支持
其实对于kibana查询,还是可以使用filter进行查询的(高版本已经支持了,但是我们使用的5.4需要经过下面的步骤来增加filter):
之所以要增加scriptfields是因为比如从对应的下面日志中抽取对应的耗时:
method=com.kccf.pc.controller.article.ArticleController.getArticleListcost 22 milliseconds
要从对应的日志中截取对应的耗时内容,所以要使用脚本来进行截取,并将截取的值存放在对应的script fields字段中,供后面的Visualize使用。
单击“加号”新增一个视图:
并选择对应的视图类型,然后选择要从哪个索引采集数据进行配置:
当然X,Y轴都可以配置多个统计,如下面的:
大盘就是将上面配置的多个Visualized放在一个地方进行显示,如下图所示:
新增大盘,通过如下操作:
将Visualized放置在大盘中:
(1) General:表示多长时间运行一次,定时遍历日志
(2) Input:对elasticSearch中的索引或者索引列表进行过滤采集,得到最终的输入
(3) Condition:就是过滤之后的日志满足什么条件才进行报警
(4) Transform:对结果进行转换
(5) Actions:到达报警条件了,进行什么样的处理,一般就是发送邮件通知
下面是配置的Input过滤:在最近一个小时内,耗时大于20毫秒的记录进行过滤
{
"search": {
"request": {
"index":[
"indu_kccf_pc_info-*"
],
"body": {
"query": {
"bool": {
"must": [
{
"script": {
"script": {
"lang": "painless",
"params": {
"costTimeThrehold":20
},
"inline":"if(null != doc['message.keyword'].value &&doc['message.keyword'].value.trim().startsWith(\"method=\")&&doc['message.keyword'].value.trim().endsWith(\"milliseconds\")){Number costTimeNum = NumberFormat.getInstance().parse(doc['message.keyword'].value.substring(doc['message.keyword'].value.indexOf('cost')+4,doc['message.keyword'].value.lastIndexOf('milliseconds')-1).trim());if(costTimeNum.longValue() > params.costTimeThrehold) true; else false;}elsefalse;"
}
}
},
{
"range":{
"@timestamp": {
"gte": "now-1h",
"lte": "now",
"format": "epoch_millis"
}
}
}
]
}
}
}
}
}
}
注意:inline里面的脚本功能就是截取如下日志中对应的耗时method=com.kccf.pc.controller.article.ArticleController.getArticleListcost 22 milliseconds。Range对应的是时间范围过滤。
Condition配置就是对input过滤得到结果进行统计,如果统计的结果满足设置的条件则进行触发后面的行为:
上面的条件是Input对应的过滤结果的条数大于1则进行报警,这个脚本是可以自己动态编写的,因为sentinl插件也是在elasticSearch中定义了自己对应的索引:watcher和watcher_alarms-时间,如下面在elasticSearch-head中对应的截图所示:
(1) 索引watcher类型sentinl-watcher对应的内容:这个内容就是我们在kibana页面上配置的watcher内容的json化)
{
"_index":"watcher",
"_type":"sentinl-watcher",
"_id":"38eljz92mycwqi00ian55ng66r-0tqtq7q46valazkmg8yn20ggb9-im815vceg9gap6akbvjejnhfr",
"_version":32,
"_score":1,
"_source":{
"title":"所有",
"disable":false,
"report":false,
"trigger":{
"schedule":{
"later":"every 1 secs"
}
},
"input":{
"search":{
"request":{
"index":[
"cpcn-*"
],
"body":{}
}
}
},
"condition":{
"script":{
"script":"payload.hits.total >0"
}
},
"actions":{
"error报警": {
"throttle_period":"0h0m1s",
"email":{
"to":"[email protected]",
"from":"[email protected]",
"subject":"报警",
"body":"event:{{payload.hits.total}} errorMsgConent:{{payload.hits.hits}}"
}
}
}
}
}
(2)索引watcher类型sentinl-script对应的内容:就是在kibana中配置的Input中的body内容
{
"_index":"watcher",
"_type":"sentinl-script",
"_id":"8mmkkevvdr0g0sz3mmojn61or-s6hfac0a3y36ier49ju1sjor-keeuakonk0v51cntohp1ll3di",
"_version":1,
"_score":1,
"_source":{
"description":"input",
"title":"error",
"body":"{
"search":{
"request":{
"index":["cpcn-*"],
"body":{
"query":{
"bool":{
"must":[{
"wildcard":{
"message":"*exception*"
}
},
{
"wildcard":{
"message":"*error*"
}
},
{
"range":{
"@timestamp":{
"gte":"now-1h",
"lte":"now",
"format":"epoch_millis"
}
}
}
],
"must_not":[]
}
}
}
}
}
}
"
}
}
(3)报警信息内容对应的是索引watcher_alarms-时间类型为配置Action名称的内容:
{
"_index":"watcher_alarms-2018.04.09",
"_type":"email_admin",------配置的action名称
"_id":"AWKphaIhjWbDkGCDylsw",
"_version":1,
"_score":1,
"_source":{
"@timestamp":"2018-04-09T08:28:50.080Z",
"watcher":"watcher_title",
"level":"high",
"message":"Found 177 Events",
"action":"email_admin",
"payload":{
"took":4,
"timed_out":false,
"_shards":{
"total":25,
"successful":25,
"skipped":0,
"failed":0
},
"hits":{
"total":177,
"max_score":1,
"hits":[{
"_index":"cpcn-2018.01.17",
"_type":"logs",
"_id":"AWECHmRX1zYDH4X06oyZ",
"_score":1,
"_source":{
"@version":"1",
"host":"DESKTOP-7DN8E16",
"@timestamp":"2018-01-17T03:16:41.677Z",
"message":"qwe"
}
}]
}
},
"report":false
}
}
注意上面的报警内容,正好是我们在Condition中配置的需要的信息,如condition配置所示:
{
"script": {
"script": "payload.hits.total > 1" -----正好对应的上面报警内容对应的记录中的内容
}
}
Actions配置就配置在满足报警条件的时候,如何进行处理,如下面报警条件满足的时候进行邮件通知处理配置如下:
注意:body中的内容正是取索引watcher_alarms-时间类型为“方法耗时超过阈值报警”名称的内容