different types of data, data rheology to input | Decode | Filter | Encode | The advent of output,codec makes it easier to co-exist with other custom data format operations products, supporting all plugins in the list abovePlugin Name: JSON (https://www.elastic.co/guide/en/logstash/current/plugins-codecs-json.html)
Input {file {path = = ["/xm-workspace/xm-webs/xmcloud/logs/*.log"] type = "Dss-pubserver" codec =Gt JSON start_position = "Beginni
adding or modifying inputs, outputs, and filters in your profile, thus making it easier to tailor a more reasonable storage format for the query.Integrated Elasticsearch Insert data above steps have been successfully built Logstash, then add logstash configuration file, so that its configuration file start, the data into ES, display1. Add logs.conf under the/root/config/directoryinput{file{type = "all" Pat
" } }} #input节的配置定义了输入的日志类型为mysql慢查询日志类型以及日志路径, with multiple rows of data merged.
The Negate field is a selection switch that can match forward and reverse filter{#dropsleepevents grok{
match=>{ "message" => "Selectsleep" NBSP;} add_tag=>[ "Sleep_drop" NBSP;] tag_on_ Failure=>[]#preventdefault_grokParsefailuretagonrealrecords } if "Sleep_drop" in [tags]{drop{} } #filter节的配置定义了过滤mysql查询为sleep状态SQL语句 Grok {
. ElasticSearch Cluster
ElasticSearch native supports cluster mode, which communicates between nodes via unicast or multicast, and ElasticSearch cluster automatically detects node additions, failures, and recoveries, and reorganize indexes.
For example, we launch two Elasticsearch instances to form a cluster, using the default configuration, such as:
$ bin/elasticsearch-d
$ bin/elasticsearch-d
With the default configuration, the HTTP listening ports for two instances are 9200 and 9201, respect
: "192.168.30.128", Elasticsearch service Address: "HTTP://192.168.30.128:9200"Start the serviceOpen port 5601firewall-cmd--add-port=5601/tcp--permanent//Reload configuration firewall-cmd--reload//Set service boot up systemctl enable kibana//start service Systemctl start KibanaOpen http://192.168.30.128:5601 in Browser, will go to Kibana management interfaceLogStashLogstash DocumentationInstallationOfficial Official Installation TutorialsGo to elasticsearch directory cd/usr/local/elasticsearch//
Logstash-forwarder (formerly known as Lumberjack) is a log sending end written in the Go language,Mainly for some of the machine performance is insufficient, have the performance OCD patient prepares.main functions :By configuring the trust relationship, the log of the monitored machine is encrypted and sent to Logstash,Reduce the performance of the collected log machine to consume, equivalent to the calcul
Article from Aliyun-yun-Habitat community, the original click here.
The second component of the Logstash three components is also the most complex, logstash component of the entire tool, and, of course, the most useful component.
1, Grok plug-in Grok plug-in has a very powerful function, he can match all the data, bu
Elasticsearch + Logstash + Kibana ConfigurationElasticsearch + Logstash + Kibana Configuration
There are many articles about the installation of Elasticsearch + Logstash + Kibana. I will not repeat them here, but I will only record some details here.
Precautions for installing AWS EC2Remember to open the elasticsearch address on ports 9200,9300 and 5601. Do not w
-n7100", "Sign" = "e9853bb1e8bd56874b647bc08e7ba576"}For ease of understanding and testing, I used the Logstash profile configuration file to set up.Sample.confThis includes the ability to implement UrlDecode and KV plug-ins, which need to be run./plugin Install contrib installs the default plug-in for Logstash.Input {file{Path="/home/vovo/access.log"#指定日志目录或文件, you can also use the wildcard character *.log to enter a log file in the direct
.
Example:
codec => "json"
hash
A hash is a collection of key value pairs specified in the format "field1" => "value1 ".Hash, key-value pair, enclosed by quotation marks.Example:
match => { "field1" => "value1" "field2" => "value2" ...}
password
A password is a string with a single value that is not logged or printed.Similar to string, not output.Example:
my_password => "password"
number
Numbers must be valid numeric values (floating point or integer).example:
my_password => "password"
Path
A
input URL 192.168.135.129:5601 can not access, shut down the firewall is not, need to set up/etc/kibana/kibana.yml. Let's release some configuration and modify some configurations as followsThen landing outside the network, more refresh several times, the main network of Bo slow, enter the URL http://192.168.135.129:5601Ok!Final installation LogstashCreating a configuration fileThe content format has the following main input, filter and output three parts:1 Input {2 3 stdin {}4 }5 6 Filter {7 8
Elasticsearch+logstash+kibana ConfigurationThere are a lot of articles about the installation of Elasticsearch+logstash+kibana, which is not repeated here, only some of the more detailed content.
Considerations for installing in AWS EC2
9200,9300,5601 Port to remember to open
Elasticsearch address do not write external IP, otherwise it will be a waste of data, write internal IP"ip-10-1
Grok-patterns contains log parsing rules for regular expressions with many underlying variables, including Apache log parsing (which can also be used for nginx log parsing). Based on Nginx log analysis configuration: 1. Configure the Nginx log format as follows: Log_format main ' $remote _addr [$time _local] "$request" $status $body _bytes_ Sent "" $http _referer "" "$request _time" '; access_log/var/log/nginx/access.log main; The Nginx log is screen
Recently in the project using Logstash do log collection and filtering, feel logstash is still very powerful.Input {file{path = "/xxx/syslog.txt" Start_position = beginning codec = Multilin e{Patterns_dir = ["/xx/logstash-1.5.3/patterns"] pattern = "^%{message}" Nega Te = True what = "previous"}}}filter{mutate{split = ["message", "|"] Add_field = {"tmp" =
Today is November 06, 2015, get up in the morning, Beijing weather unexpectedly snowed, yes, in recent years has rarely seen snow, think of the winter as a child, memories of the shadow is still vivid.
To get to the point, the article introduced the basic knowledge of Logstash and introductory demo, this article introduces several more commonly used commands and cases
Through the previous introduction, we generally know the entire
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