kibana logstash

Tags: CTE nload. SQL ODI Line SQL ADE JDBC Remove input {stdin {} jdbc {#MySQL JDBC connection string to our backup databseJdbc_connection_string ="Jdbc:mysql://localhost:3306/userdb?useunicode=truecharacterencoding=utf-8usessl=false" #The user we wish to excute our statement asJdbc_user ="User"Jdbc_password="Pass" #The path to our downloaded JDBC driverJdbc_driver_library ="Mysql-connector-java-5.1.40-bin.jar" #The name of the driver class for MySQLJdbc_driver_class ="Com.mysq

To facilitate quantitative analysis of nginxaccess logs, filter matches using logstash 1. Determine nginx log format log_format access ' $remote _addr- $remote _user[$time _local] ' ' $http _host $request _method $uri ' ' $status $body _bytes_sent ' ' $upstream _status $upstream _addr $request _time ' ' $upstream _response_time $http _user_agent '; 2. Use logstashgrok to match the log filter{ if[type]== ' mobile-access ' { #message The ma

Recently in the use of Elkstack to the System log analysis, on the internet also saw the use of logstash cases, but found that can not be resolved properly, and then re-take the time to do regular calculations, the main code is as follows:input{file{type=> "Mysql-slow" path=> "/var/lib/mysql/slow.log" start_ position=>beginning sincedb_write_interval=>0codec=> multiline{pattern=> "^#[emailprotected]:" negate=>truewhat= > "Previous" }}}filter{if[messa

1. Install and start Redis 0> Yum Install redis0>/etc/init.d/redis start0> NETSTAT-ANTLP | grep redistcp 0 0 127.0.0.1:6379 0.0.0.0:* LISTEN 2700/redis-server 2. Logstash configuration file 2.1 shipper.conf Input {file {path = '/data/logs/nginx/access.log ' start_position = beginning}}output {s tdout {codec = Rubydebug} redis {host = "127.0.0.1" data_type = "List" Ke y = "Key_count"}} 2.2 central.conf Input {redis {host = localhost port = 6379 type =

Collection process 1nxlog = 2logstash + 3elasticsearch1. Nxlog Use module Im_file to collect log files, turn on location recording function2. Nxlog using the module TCP output log3. Logstash use INPUT-TCP, collect logs, and format, output to ESThe Nxlog configuration file above windowsNxlog.conf##thisisasampleconfigurationfile.seethenxlog referencemanualaboutthe##configurationoptions.itshouldbe installedlocallyandisalsoavailable##onlineathttp://nxlog.

1. UTF-8 code, no BOM format, otherwise easily garbled2. Compressed json--single-line file3. Event with line terminators--otherwise will cause logstash not to startBy configuring output to:Output { stdout { = = JSON}Output:{"Name": "lll", "Sex": "xxx", "Age": 123, "@version": "1", "@timestamp": "2016-03-07t15:51:04.211z", "path": "/home/data/ Test.json "," host ":" Virtual-machine "}It can be found that the output content also satisfies t

Tag:windows configuration file cookiechrome Log format:logformat "%{clientip}i%l%u%t\"%r\ "%>s%b\"%{Referer}i\ " \ "%{user-agent}i\" \ "%{clientip}i.%{cookie}n\" "combined Log instance:183.60.150.34-- [23/jun/2017:17:57:52+0800] "get/jump/cps.jsp?projectcode=0085001cid=a200647189%7c% 7c0000url=http%3a%2f%2fwww.mangocity.comhttp/1.1 "302-" http://myhenan.qq.com/ T-7947749-1.htm "" mozilla/5.0 (windowsnt5.1) AppleWebKit/537.36 (khtml, Likegecko) chrome/47.0.2526.108safari/537.362345explorer/8.6.1

-dflume.monitoring.port=9876-C Conf-f/usr/local/apache-flume-1.7.0-bin/conf/push.conf-dflume.root.logger=error,console-dorg.apache.flume.log.printconfig=true4Autostart =true5Startsecs =56AutoRestart =true7Startretries =38user =Root9Redirect_stderr =trueTenStdout_logfile_maxbytes =20MB OneStdout_logfile_backups = - AStdout_logfile =/data/ifengsite/flume/logs/flume-supervisor.logCreate a directory, and start supervisor1 mkdir -p/data/ifengsite/flume/logs/2 supervisord-c/etc/supervisord.conf3 Resta

Input {jdbc {jdbc_connection_string="Jdbc:mysql://localhost:3306/crm?zerodatetimebehavior=converttonull"Jdbc_user="Root"Jdbc_password=""jdbc_driver_library="D:/siyang/elasticsearch-5.2.2/logstash-5.2.2/mysql-connector-java-5.1.30.jar"Jdbc_driver_class="Com.mysql.jdbc.Driver"jdbc_paging_enabled="true"jdbc_page_size="50000"Statement_filepath="Filename.sql"Schedule="* * * * *"type="Jdbc_office"} JDBC {jdbc_connection_string="Jdbc:mysql://localhost:3306/c

:20[ 0x00007fff29eea470]handoutaction () unknown:0[0x00007f497fa59400]run () /data//index.php : 30[11-mar-201516:56:46][poolwww]pid12881script_filename=/data /index.php[0x00007f497fa5b620]curl_exec () /data//account.php:221[0x00007f497fa5a4e0]call () /data/game.php:31[0x00007fff29eea180]load () unknown:0[0x00007f497fa59e18]call_user_func _array () /data/library/basectrl.php:20[0x00007fff29eea470]handoutaction () unknown:0[ 0x00007f497fa59400]run () /data/index.php: 30 This article is from the Li

It is necessary to configure Logstash when configuring ES in the work, however, according to the function distribution

","%{mysqltype}"] Gsub= ["SQL","\n# Time: \d+\s+\d+:\d+:\d+","" ] } } if[Path] =~"Other-slave-slow"{grok {match= = {"message"="(? m) ^#\[email Protected]:\s+%{user:user}\[[^\]]+\]\[email protected]\s+ (?:(? "} Remove_field= ["message"]} mutate {replace= ["Host","%{host}"] Add_field= ["Nscode","%{nscode}"] Add_field= ["Envcode","%{envcode}"] Add_field= ["Mysqltype","%{mysqltype}"] Gsub= ["SQL","\n# Time: \d+\s+\d+:\d+:\d+","" ] } } if[Path] =~"Order-master-slow"{grok {ma

Use Logstash to collect PHP-related logs. three types of logs are collected here. PHP error log, PHP-FPM error log and slow query log Set in php. ini Error_log =/data/app_data/php/logs/php_errors.log Set in php-fpm.conf Error_log =/data/app_data/php/logs/php-fpm_error.log Slowlogs =/data/app_data/php/logs/php-fpm_slow.log The PHP error log is as follows: [29-Jan-2015 07:37:44 UTC] PHP Warning: PHP Startup: Unable to load dynamic libra

Reference: http://kibana.logstash.es/content/elasticsearch/template.htmlThe fields defined in the template are parsed according to the template, and no definitions are resolved according to the default template of ESElasticsearch is a schema-less system, but schema-less does not represent no schema, but ES will try to guess the field type mappings you want based on the underlying type of the JSON source data. If you are not satisfied with this dynamically generated mapping, or want to use some o

1. Boot automatically start Redis1), copy the Redis_init_script file under Redis directory utils to/ETC/INIT.D and rename it to REDISD, then run chmod u+x REDISD2), modify the redis.conf under the Redis root directory, change the daemonize to Yes, and change the pidfile to/var/run/redis_6379.pid3), copy the redis.conf under the Redis root directory to the/etc/redis/directory and rename it to 6379.conf4), in the console input Chkconfig REDISD on, configured for boot start, if the error is in the

Logstash Grok patternusername[a-za-z0-9_-]+user%{username}int (?: [+]? (?: [0-9]+)] base10num (? This article is from the "Wandering Fish" blog, please make sure to keep this source http://faded.blog.51cto.com/6375932/1770752Logstash Grok pattern

) "," Org.jruby.runtime.callsite.CachingCallSite.call ( cachingcallsite.java:134) "," Org.jruby.ast.CallNoArgNode.interpret (callnoargnode.java:60) "," Org.jruby.ast.CallNoArgNode.interpret (callnoargnode.java:60) "," Org.jruby.ast.AttrAssignTwoArgNode.interpret ( attrassigntwoargnode.java:36) "," Org.jruby.ast.NewlineNode.interpret (newlinenode.java:105) "," Org.jruby.ast.IfNode.interpret (ifnode.java:116) "," Org.jruby.ast.NewlineNode.interpret (newlinenode.java:105) "," Org.jruby.ast.BlockNod

Many blogs have detailed explanations on the elk theory and architecture diagram. This article mainly records the simple setup and Application of elk. Preparations before installation 1. Environment Description: IP Host Name Deployment Service 10.0.0.101 (centos7) Test101 JDK, elasticsearch, logstash, kibana, and filebeat (filebeat is used to test and collect the messages l

Objective:Elk is mainly a combination of 3 software, mainly Elasticsearch search engine, Logstash is a log collection log, Kibana real-time analysis to show.[about the Log collection software, such as: Scribe,flume,heka,logstash,chukwa,fluentd, of course rsyslog rsyslog-ng can be collected.About log phone after storage software, such as: Hdfs,cassandra MongoDB, R

ELK deployment reference Brief Introduction: ELK is composed of three open-source tools: Elasticsearch is an open-source distributed search engine that features: distributed, zero-configuration, automatic discovery, automatic index sharding, index copy mechanism, restful APIs, and multiple data sources, automatically search for loads. Logstash is a fully open-source tool that collects, filters, and stores your logs for future use (such as searching ).