gork插件:
Grok是将⾮结构化⽇志数据解析为结构化和可查询的好⽅法。底层原理是基于正则匹配任意
⽂本格式。
该⼯具⾮常适合syslog⽇志、apache和其他⽹络服务器⽇志、mysql⽇志,以及通常为⼈
类⽽⾮计算机消耗⽽编写的任何⽇志格式。
内置120种匹配模式,当然也可以⾃定义匹配模式:
https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns

[root@elk101.oldboyedu.com ~]# cat config-logstash/14-beat-grok-es.conf
input {
beats {
port => 8888
}
}
filter {
grok {
match => {
# "message" => "%{COMBINEDAPACHELOG}"
# 上⾯的""变量官⽅github上已经废弃,建议使⽤下⾯的匹配模式
# https://github.com/logstash-plugins/logstash-patterns-
core/blob/main/patterns/legacy/httpd
"message" => "%{HTTPD_COMMONLOG}"
}
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/14-beat-grok-es.conf

[root@elk101.oldboyedu.com ~]# cat config-logstash/15-stdin-grok-stdout.conf
input {
stdin {}
}
filter {
grok {
match => {
"message" => "%{IP:oldboyedu-client} %{WORD:oldboyedu-method} %{URIPATHPARAM:oldboyedu-request} %{NUMBER:oldboyedu-bytes} %{NUMBER:oldboyedu-duration}"
}
}
}
output {
stdout {}
}
[root@elk101.oldboyedu.com ~]# logstash -f config-logstash/15-stdin-
grok-stdout.conf
温馨提示:(如下图所示,按照要求输⼊数据)
55.3.244.1 GET /index.html 15824 0.043
10.0.0.103 POST /oldboyedu.html 888888 5.20
参考地址:
https://github.com/logstash-plugins/logstash-patterns-core/tree/main/patterns/legacy

[root@elk101.oldboyedu.com ~]# cat config-logstash/16-stdin-grok_custom_patterns-stdout.conf
input {
stdin {}
}
filter {
grok {
# 指定匹配模式的⽬录,可以使⽤绝对路径哟~
# 在./patterns⽬录下随便创建⼀个⽂件,并写⼊以下匹配模式
# POSTFIX_QUEUEID [0-9A-F]{10,11}
# OLDBOYEDU_LINUX80 [\d]{3}
patterns_dir => ["./patterns"]
# 匹配模式
# 测试数据为: Jan 1 06:25:43 mailserver14 postfix/cleanup[21403]: BEF25A72965: message-id=<20130101142543.5828399CCAF@mailserver14.example.com>
# match => { "message" => "%{SYSLOGBASE} %{POSTFIX_QUEUEID:queue_id}: %{GREEDYDATA:syslog_message}" }
# 测试数据为: ABCDE12345678910 ---> 333FGHIJK
match => { "message" => "%{POSTFIX_QUEUEID:oldboyedu_queue_id} ---> %{OLDBOYEDU_LINUX80:oldboyedu_linux80_elk}" }
}
}
output {
stdout {}
}
[root@elk101.oldboyedu.com ~]# logstash -f config-logstash/16-stdin-grok_custom_patterns-stdout.conf

[root@elk101.oldboyedu.com ~]# cat config-logstash/17-beat-grok-es.conf
input {
beats {
port => 8888
}
}
filter {
grok {
match => {
# "message" => "%{COMBINEDAPACHELOG}"
# 上⾯的""变量官⽅github上已经废弃,建议使⽤下⾯的匹配模式
# https://github.com/logstash-plugins/logstash-patterns-core/blob/main/patterns/legacy/httpd
"message" => "%{HTTPD_COMMONLOG}"
}
# 移除指定的字段
remove_field => [ "host", "@version", "ecs", "tags","agent","input", "log" ]
# 添加指定的字段
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
"oldboyedu-clientip" => "clientip ---> %{clientip}"
}
# 添加tag
add_tag => [ "linux80","zookeeper","kafka","elk" ]
# 移除tag
remove_tag => [ "zookeeper", "kafka" ]
# 创建插件的唯⼀ID,如果不创建则系统默认⽣成
id => "nginx"
}
}
output {
stdout {}
# elasticsearch {
# hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
# index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
# }
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/17-beat-grok-es.conf
[root@elk101.oldboyedu.com ~]# cat config-logstash/18-beat-grok_date-es.conf
input {
beats {
port => 8888
}
}
filter {
grok {
match => {
# "message" => "%{COMBINEDAPACHELOG}"
# 上⾯的""变量官⽅github上已经废弃,建议使⽤下⾯的匹配模式
# https://github.com/logstash-plugins/logstash-patterns-core/blob/main/patterns/legacy/httpd
"message" => "%{HTTPD_COMMONLOG}"
}
# 移除指定的字段
remove_field => [ "host", "@version", "ecs", "tags","agent","input", "log" ]
# 添加指定的字段
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
}
}
date {
# 匹配时间字段并解析,值得注意的是,logstash的输出时间可能会错8⼩时,但写⼊es但数据是准确的!
# "13/May/2022:15:47:24 +0800", 以下2种match写法均可!
# match => ["timestamp","dd/MMM/yyyy:HH:mm:ss Z"]
# 当然,我们也可以不对时区字段进⾏解析,⽽是使⽤"timezone"指定时区哟!
match => ["timestamp","dd/MMM/yyyy:HH:mm:ss +0800"]
# 设置时区字段为UTC时间,写⼊ES的数据时间是不准确的
# timezone => "UTC"
# 建议⼤家设置为"Asia/Shanghai",写⼊ES的数据是准确的!
timezone => "Asia/Shanghai"
# 将匹配到到时间字段解析后存储到⽬标字段,若不指定,则默认字段为"@timestamp"字段
target => "oldboyedu-linux80-nginx-access-time"
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/18-beat-grok_date-es.conf
[root@elk101.oldboyedu.com ~]# cat config-logstash/19-beat-grok_date_geoip-es.conf
input {
beats {
port => 8888
}
}
filter {
grok {
match => {
"message" => "%{HTTPD_COMMONLOG}"
}
remove_field => [ "host", "@version", "ecs", "tags","agent","input", "log" ]
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
}
}
date {
match => ["timestamp","dd/MMM/yyyy:HH:mm:ss Z"]
timezone => "Asia/Shanghai"
target => "oldboyedu-linux80-nginx-access-time"
}
geoip {
# 指定基于哪个字段分析IP地址
source => "clientip"
# 如果期望查看指定的字段,则可以在这⾥配置即可,若不设置,表示显示所有的查询字段.
fields => ["city_name","country_name","ip"]
# 指定geoip的输出字段,如果想要对多个IP地址进⾏分析,则该字段很有⽤哟~
target => "oldboyedu-linux80"
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/19-beat-grok_date_geoip-es.conf
[root@elk101.oldboyedu.com ~]# cat config-logstash/20-beat-grok_date_geoip_useragent-es.conf
input {
beats {
port => 8888
}
}
filter {
date {
match => ["timestamp","dd/MMM/yyyy:HH:mm:ss Z"]
timezone => "Asia/Shanghai"
target => "oldboyedu-linux80-nginx-access-time"
}
mutate {
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
}
remove_field => [ "agent", "host", "@version", "ecs", "tags","input", "log" ]
}
geoip {
source => "clientip"
fields => ["city_name","country_name","ip"]
target => "oldboyedu-linux80-geoip"
}
useragent {
# 指定客户端的设备相关信息的字段
source => "http_user_agent"
# 将分析的数据存储在⼀个指定的字段中,若不指定,则默认存储在target字段中。
target => "oldboyedu-linux80-useragent"
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/20-beat-grok_date_geoip_useragent-es.conf
cat > generate_log.py <<EOF
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# @author : oldboyedu-linux80
import datetime
import random
import logging
import time
import sys
LOG_FORMAT = "%(levelname)s %(asctime)s [com.oldboyedu.%(module)s] - %(message)s "
DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
# 配置root的logging.Logger实例的基本配置
logging.basicConfig(level=logging.INFO, format=LOG_FORMAT, datefmt=DATE_FORMAT, filename=sys.argv[1], filemode='a',)
actions = ["浏览⻚⾯", "评论商品", "加⼊收藏", "加⼊购物⻋", "提交订单", "使⽤优惠券", "领取优惠券", "搜索", "查看订单", "付款", "清空购物⻋"]
while True:
time.sleep(random.randint(1, 5))
user_id = random.randint(1, 10000)
# 对⽣成的浮点数保留2位有效数字.
price = round(random.uniform(15000, 30000),2)
action = random.choice(actions)
svip = random.choice([0,1])
logging.info("DAU|{0}|{1}|{2}|{3}".format(user_id,
action,svip,price))
EOF
nohup python generate_log.py /tmp/app.log &>/dev/null &

[root@elk101.oldboyedu.com ~]# cat config-logstash/21-mutate.conf
input {
beats {
port => 8888
}
}
filter {
mutate {
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
}
remove_field => [ "@timestamp", "agent", "host", "@version", "ecs", "tags","input", "log" ]
}
mutate {
# 对"message"字段内容使⽤"|"进⾏切分。
split => {
"message" => "|"
}
}
mutate {
# 添加字段,其中引⽤到了变量
add_field => {
"user_id" => "%{[message][1]}"
"action" => "%{[message][2]}"
"svip" => "%{[message][3]}"
"price" => "%{[message][4]}"
}
}
mutate {
strip => ["svip"]
}
mutate {
# 将指定字段转换成相应对数据类型.
convert => {
"user_id" => "integer"
"svip" => "boolean"
"price" => "float"
}
}
mutate {
# 将"price"字段拷⻉到"oldboyedu-linux80-price"字段中.
copy => { "price" => "oldboyedu-linux80-price" }
}
mutate {
# 修改字段到名称
rename => { "svip" => "oldboyedu-ssvip" }
}
mutate {
# 替换字段的内容
replace => { "message" => "%{message}: My new message" }
}
mutate {
# 将指定字段的字⺟全部⼤写
uppercase => [ "message" ]
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-%{+YYYY.MM.dd}"
}
}
[root@elk101.oldboyedu.com ~]#
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/21-mutate.conf

[root@elk101.oldboyedu.com ~]# cat config-logstash/22-beats_tcp-filter-es.conf
input {
beats {
type => "oldboyedu-beats"
port => 8888
}
tcp {
type => "oldboyedu-tcp"
port => 9999
}
tcp {
type => "oldboyedu-tcp-new"
port => 7777
}
http {
type => "oldboyedu-http"
port => 6666
}
file {
type => "oldboyedu-file"
path => "/tmp/apps.log"
}
}
filter {
mutate {
add_field => {
"school" => "北京市昌平区沙河镇⽼男孩IT教育"
}
}
if [type] == ["oldboyedu-beats","oldboyedu-tcp-new","oldboyedu-http"]
{
mutate {
remove_field => [ "agent", "host", "@version", "ecs", "tags","input", "log" ]
}
geoip {
source => "clientip"
target => "oldboyedu-linux80-geoip"
}
useragent {
source => "http_user_agent"
target => "oldboyedu-linux80-useragent"
}
} else if [type] == "oldboyedu-file" {
mutate {
add_field => {
"class" => "oldboyedu-linux80"
"address" => "北京昌平区沙河镇⽼男孩IT教育"
"hobby" => ["LOL","王者荣耀"]
}
remove_field => ["host","@version","school"]
}
} else {
mutate {
remove_field => ["port","@version","host"]
}
mutate {
split => {
"message" => "|"
}
add_field => {
"user_id" => "%{[message][1]}"
"action" => "%{[message][2]}"
"svip" => "%{[message][3]}"
"price" => "%{[message][4]}"
}
# 利⽤完message字段后,在删除是可以等!注意代码等执⾏顺序!
remove_field => ["message"]
strip => ["svip"]
}
mutate {
convert => {
"user_id" => "integer"
"svip" => "boolean"
"price" => "float"
}
}
}
}
output {
stdout {}
if [type] == "oldboyedu-beats" {
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-beats"
}
} else {
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-logstash-tcp"
}
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/22-beats_tcp-filter-es.conf

如上图所示,要求完成以下内容:
(1)收集nginx⽇志,写⼊ES集群,分⽚数量为3,副本数量为0,索引名称为"oldboyedu-linux80-nginx";
(2)收集tomcat⽇志,写⼊ES集群,分⽚数量为5,副本数量为0,索引名称为"oldboyedu-linux80-tomcat";
(3)收集app⽇志,写⼊ES集群,分⽚数量为10,副本数量为0,索引名称为"oldboyedu-linux80-app";
进阶作业:
(1)分析出nginx,tomcat的客户端ip所属城市,访问时使⽤的设备类型等。
(2)请调研使⽤logstash的pipline来替代logstash的多实例⽅案;
[root@elk102.oldboyedu.com ~]# cat ~/config/38-tomcat-to-logstash.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /oldboyedu/softwares/apache-tomcat-10.0.20/logs/*.txt
json.keys_under_root: true
output.logstash:
hosts: ["10.0.0.101:7777"]
[root@elk102.oldboyedu.com ~]# filebeat -e -c ~/config/38-tomcat-to-logstash.yml
[root@elk102.oldboyedu.com ~]# cat ~/config/37-nginx-to-logstash.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /var/log/nginx/access.log*
json.keys_under_root: true
output.logstash:
hosts: ["10.0.0.101:8888"]
[root@elk102.oldboyedu.com ~]#
[root@elk102.oldboyedu.com ~]# filebeat -e -c ~/config/37-nginx-to-logstash.yml --path.data /tmp/filebeat-nginx
[root@elk102.oldboyedu.com ~]# cat ~/config/39-apps-to-logstash.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /tmp/app.log*
output.logstash:
hosts: ["10.0.0.101:6666"]
[root@elk102.oldboyedu.com ~]#
[root@elk102.oldboyedu.com ~]# filebeat -e -c ~/config/39-apps-to-logstash.yml --path.data /tmp/filebeat-app
[root@elk101.oldboyedu.com ~]# cat config-logstash/24-homework-01-to-es.conf
input {
beats {
port => 8888
}
}
filter {
mutate {
remove_field => ["tags","log","agent","@version", "input","ecs"]
}
geoip {
source => "clientip"
target => "oldboyedu-linux80-geoip"
}
useragent {
source => "http_user_agent"
target => "oldboyedu-linux80-useragent"
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-nginx"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/24-homework-01-to-es.conf
[root@elk101.oldboyedu.com ~]# cat config-logstash/24-homework-02-to-es.conf
input {
beats {
port => 7777
}
}
filter {
mutate {
remove_field => ["tags","log","agent","@version", "input","ecs"]
}
geoip {
source => "clientip"
target => "oldboyedu-linux80-geoip"
}
useragent {
source => "AgentVersion"
target => "oldboyedu-linux80-useragent"
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-tomcat"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/24-homework-02-to-es.conf --path.data /tmp/homework-logstash-02
[root@elk101.oldboyedu.com ~]# cat config-logstash/24-homework-03-to-es.conf
input {
beats {
port => 6666
}
}
filter {
mutate {
remove_field => ["tags","log","agent","@version", "input","ecs"]
}
mutate {
remove_field => ["port","@version","host"]
}
mutate {
split => {
"message" => "|"
}
add_field => {
"user_id" => "%{[message][1]}"
"action" => "%{[message][2]}"
"svip" => "%{[message][3]}"
"price" => "%{[message][4]}"
}
remove_field => ["message"]
strip => ["svip"]
}
mutate {
convert => {
"user_id" => "integer"
"svip" => "boolean"
"price" => "float"
}
}
}
output {
stdout {}
elasticsearch {
hosts => ["10.0.0.101:9200","10.0.0.102:9200","10.0.0.103:9200"]
index => "oldboyedu-linux80-apps"
}
}
[root@elk101.oldboyedu.com ~]# logstash -rf config-logstash/24-homework-03-to-es.conf --path.data /tmp/homework-logstash-03
我正在学习如何使用Nokogiri,根据这段代码我遇到了一些问题:require'rubygems'require'mechanize'post_agent=WWW::Mechanize.newpost_page=post_agent.get('http://www.vbulletin.org/forum/showthread.php?t=230708')puts"\nabsolutepathwithtbodygivesnil"putspost_page.parser.xpath('/html/body/div/div/div/div/div/table/tbody/tr/td/div
我有一个Ruby程序,它使用rubyzip压缩XML文件的目录树。gem。我的问题是文件开始变得很重,我想提高压缩级别,因为压缩时间不是问题。我在rubyzipdocumentation中找不到一种为创建的ZIP文件指定压缩级别的方法。有人知道如何更改此设置吗?是否有另一个允许指定压缩级别的Ruby库? 最佳答案 这是我通过查看rubyzip内部创建的代码。level=Zlib::BEST_COMPRESSIONZip::ZipOutputStream.open(zip_file)do|zip|Dir.glob("**/*")d
类classAprivatedeffooputs:fooendpublicdefbarputs:barendprivatedefzimputs:zimendprotecteddefdibputs:dibendendA的实例a=A.new测试a.foorescueputs:faila.barrescueputs:faila.zimrescueputs:faila.dibrescueputs:faila.gazrescueputs:fail测试输出failbarfailfailfail.发送测试[:foo,:bar,:zim,:dib,:gaz].each{|m|a.send(m)resc
很好奇,就使用rubyonrails自动化单元测试而言,你们正在做什么?您是否创建了一个脚本来在cron中运行rake作业并将结果邮寄给您?git中的预提交Hook?只是手动调用?我完全理解测试,但想知道在错误发生之前捕获错误的最佳实践是什么。让我们理所当然地认为测试本身是完美无缺的,并且可以正常工作。下一步是什么以确保他们在正确的时间将可能有害的结果传达给您? 最佳答案 不确定您到底想听什么,但是有几个级别的自动代码库控制:在处理某项功能时,您可以使用类似autotest的内容获得关于哪些有效,哪些无效的即时反馈。要确保您的提
假设我做了一个模块如下:m=Module.newdoclassCendend三个问题:除了对m的引用之外,还有什么方法可以访问C和m中的其他内容?我可以在创建匿名模块后为其命名吗(就像我输入“module...”一样)?如何在使用完匿名模块后将其删除,使其定义的常量不再存在? 最佳答案 三个答案:是的,使用ObjectSpace.此代码使c引用你的类(class)C不引用m:c=nilObjectSpace.each_object{|obj|c=objif(Class===objandobj.name=~/::C$/)}当然这取决于
我正在尝试使用ruby和Savon来使用网络服务。测试服务为http://www.webservicex.net/WS/WSDetails.aspx?WSID=9&CATID=2require'rubygems'require'savon'client=Savon::Client.new"http://www.webservicex.net/stockquote.asmx?WSDL"client.get_quotedo|soap|soap.body={:symbol=>"AAPL"}end返回SOAP异常。检查soap信封,在我看来soap请求没有正确的命名空间。任何人都可以建议我
关闭。这个问题是opinion-based.它目前不接受答案。想要改进这个问题?更新问题,以便editingthispost可以用事实和引用来回答它.关闭4年前。Improvethisquestion我想在固定时间创建一系列低音和高音调的哔哔声。例如:在150毫秒时发出高音调的蜂鸣声在151毫秒时发出低音调的蜂鸣声200毫秒时发出低音调的蜂鸣声250毫秒的高音调蜂鸣声有没有办法在Ruby或Python中做到这一点?我真的不在乎输出编码是什么(.wav、.mp3、.ogg等等),但我确实想创建一个输出文件。
我在我的项目目录中完成了compasscreate.和compassinitrails。几个问题:我已将我的.sass文件放在public/stylesheets中。这是放置它们的正确位置吗?当我运行compasswatch时,它不会自动编译这些.sass文件。我必须手动指定文件:compasswatchpublic/stylesheets/myfile.sass等。如何让它自动运行?文件ie.css、print.css和screen.css已放在stylesheets/compiled。如何在编译后不让它们重新出现的情况下删除它们?我自己编译的.sass文件编译成compiled/t
我想将html转换为纯文本。不过,我不想只删除标签,我想智能地保留尽可能多的格式。为插入换行符标签,检测段落并格式化它们等。输入非常简单,通常是格式良好的html(不是整个文档,只是一堆内容,通常没有anchor或图像)。我可以将几个正则表达式放在一起,让我达到80%,但我认为可能有一些现有的解决方案更智能。 最佳答案 首先,不要尝试为此使用正则表达式。很有可能你会想出一个脆弱/脆弱的解决方案,它会随着HTML的变化而崩溃,或者很难管理和维护。您可以使用Nokogiri快速解析HTML并提取文本:require'nokogiri'h
我想为Heroku构建一个Rails3应用程序。他们使用Postgres作为他们的数据库,所以我通过MacPorts安装了postgres9.0。现在我需要一个postgresgem并且共识是出于性能原因你想要pggem。但是我对我得到的错误感到非常困惑当我尝试在rvm下通过geminstall安装pg时。我已经非常明确地指定了所有postgres目录的位置可以找到但仍然无法完成安装:$envARCHFLAGS='-archx86_64'geminstallpg--\--with-pg-config=/opt/local/var/db/postgresql90/defaultdb/po