ElasticSearch学习笔记之三：Logstash数据分析
第3章 Logstash数据分析Logstash使用管道方式进行日记的搜集处理和输出。有点类似*NIX系统的管道下令 xxx | ccc | ddd，xxx实行完了会实行ccc，然后实行ddd。
在logstash中，包括了三个阶段:
输入input --> 处理filter（不是必须的） --> 输出output
https://img-blog.csdnimg.cn/direct/c2d7999b48804551887a605ac868f9d3.png#pic_center
每个阶段都由很多的插件配合工作，比如file、elasticsearch、redis等等。
每个阶段也可以指定多种方式，比如输出既可以输出到elasticsearch中，也可以指定到stdout在控制台打印。
logstash支持多输入和多输出
ELFK架构表示图：
https://img-blog.csdnimg.cn/direct/0e46a358d8e54b10845620975e45b33f.jpeg#pic_center
1.Logstash基础摆设
[*]安装软件
# yum install logstash --enablerepo=es -y # 偶尔需要使用的仓库可以将它关闭，用到的时候临时打开
# ln -sv /usr/share/logstash/bin/logstash /usr/local/bin/ # 做软连接，命令就可以直接使用了
"/usr/local/bin/logstash" -> "/usr/share/logstash/bin/logstash"
[*]创建第一个配置文件
# vim 01-stdin-stdout.conf
input {
stdin {}
}
output {
stdout {}
}
[*]测试配置文件
# logstash -tf 01-stdin-stdout.conf
[*]自界说启动，这种方式通常用于实行环境，业务环境下，通常将配置修改后，使用systemctl来管理服务
# logstash -f 01-stdin-stdout.conf
Using bundled JDK: /usr/share/logstash/jdk
OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in version 9.0 and will likely be removed in a future release.
WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path /usr/share/logstash/config/log4j2.properties. Using default config which logs errors to the console
2022-09-15 21:49:37.109 runner - Starting Logstash {"logstash.version"=>"7.17.6", "jruby.version"=>"jruby 9.2.20.1 (2.5.8) 2021-11-30 2a2962fbd1 OpenJDK 64-Bit Server VM 11.0.16+8 on 11.0.16+8 +indy +jit "}
2022-09-15 21:49:37.115 runner - JVM bootstrap flags: [-Xms1g, -Xmx1g, -XX:+UseConcMarkSweepGC, -XX:CMSInitiatingOccupancyFraction=75, -XX:+UseCMSInitiatingOccupancyOnly, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djdk.io.File.enableADS=true, -Djruby.compile.invokedynamic=true, -Djruby.jit.threshold=0, -Djruby.regexp.interruptible=true, -XX:+HeapDumpOnOutOfMemoryError, -Djava.security.egd=file:/dev/urandom, -Dlog4j2.isThreadContextMapInheritable=true]
2022-09-15 21:49:37.160 settings - Creating directory {:setting=>"path.queue", :path=>"/usr/share/logstash/data/queue"}
2022-09-15 21:49:37.174 settings - Creating directory {:setting=>"path.dead_letter_queue", :path=>"/usr/share/logstash/data/dead_letter_queue"}
2022-09-15 21:49:37.687 multilocal - Ignoring the 'pipelines.yml' file because modules or command line options are specified
2022-09-15 21:49:38.843 Reflections - Reflections took 114 ms to scan 1 urls, producing 119 keys and 419 values
2022-09-15 21:49:39.658 line - Relying on default value of `pipeline.ecs_compatibility`, which may change in a future major release of Logstash. To avoid unexpected changes when upgrading Logstash, please explicitly declare your desired ECS Compatibility mode.
2022-09-15 21:49:39.703 stdin - Relying on default value of `pipeline.ecs_compatibility`, which may change in a future major release of Logstash. To avoid unexpected changes when upgrading Logstash, please explicitly declare your desired ECS Compatibility mode.
Configuration OK
2022-09-15 21:49:39.917 runner - Using config.test_and_exit mode. Config Validation Result: OK. Exiting Logstash
# logstash -f 01-stdin-stdout.conf
Using bundled JDK: /usr/share/logstash/jdk
OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in version 9.0 and will likely be removed in a future release.
WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path /usr/share/logstash/config/log4j2.properties. Using default config which logs errors to the console
2022-09-15 21:50:25.095 runner - Starting Logstash {"logstash.version"=>"7.17.6", "jruby.version"=>"jruby 9.2.20.1 (2.5.8) 2021-11-30 2a2962fbd1 OpenJDK 64-Bit Server VM 11.0.16+8 on 11.0.16+8 +indy +jit "}
2022-09-15 21:50:25.103 runner - JVM bootstrap flags: [-Xms1g, -Xmx1g, -XX:+UseConcMarkSweepGC, -XX:CMSInitiatingOccupancyFraction=75, -XX:+UseCMSInitiatingOccupancyOnly, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djdk.io.File.enableADS=true, -Djruby.compile.invokedynamic=true, -Djruby.jit.threshold=0, -Djruby.regexp.interruptible=true, -XX:+HeapDumpOnOutOfMemoryError, -Djava.security.egd=file:/dev/urandom, -Dlog4j2.isThreadContextMapInheritable=true]
2022-09-15 21:50:25.523 multilocal - Ignoring the 'pipelines.yml' file because modules or command line options are specified
2022-09-15 21:50:25.555 agent - No persistent UUID file found. Generating new UUID {:uuid=>"3fc04af1-7665-466e-839f-1eb42348aeb0", :path=>"/usr/share/logstash/data/uuid"}
2022-09-15 21:50:27.119 agent - Successfully started Logstash API endpoint {:port=>9600, :ssl_enabled=>false}
2022-09-15 21:50:28.262 Reflections - Reflections took 110 ms to scan 1 urls, producing 119 keys and 419 values
2022-09-15 21:50:29.084 line - Relying on default value of `pipeline.ecs_compatibility`, which may change in a future major release of Logstash. To avoid unexpected changes when upgrading Logstash, please explicitly declare your desired ECS Compatibility mode.
2022-09-15 21:50:29.119 stdin - Relying on default value of `pipeline.ecs_compatibility`, which may change in a future major release of Logstash. To avoid unexpected changes when upgrading Logstash, please explicitly declare your desired ECS Compatibility mode.
2022-09-15 21:50:29.571 [-pipeline-manager] javapipeline - Starting pipeline {:pipeline_id=>"main", "pipeline.workers"=>2, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>50, "pipeline.max_inflight"=>250, "pipeline.sources"=>["/root/01-stdin-stdout.conf"], :thread=>"#<Thread:0x32e464e6 run>"}
2022-09-15 21:50:30.906 [-pipeline-manager] javapipeline - Pipeline Java execution initialization time {"seconds"=>1.33}
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by com.jrubystdinchannel.StdinChannelLibrary$Reader (file:/usr/share/logstash/vendor/bundle/jruby/2.5.0/gems/jruby-stdin-channel-0.2.0-java/lib/jruby_stdin_channel/jruby_stdin_channel.jar) to field java.io.FilterInputStream.in
WARNING: Please consider reporting this to the maintainers of com.jrubystdinchannel.StdinChannelLibrary$Reader
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
2022-09-15 21:50:31.128 [-pipeline-manager] javapipeline - Pipeline started {"pipeline.id"=>"main"}
The stdin plugin is now waiting for input:
2022-09-15 21:50:31.270 agent - Pipelines running {:count=>1, :running_pipelines=>[:main], :non_running_pipelines=>[]}
abc
{
"message" => " abc",
"@version" => "1",
"host" => "host3.test.com",
"@timestamp" => 2022-09-15T13:52:02.984Z
}
bbb
{
"message" => "bbb",
"@version" => "1",
"host" => "host3.test.com",
"@timestamp" => 2022-09-15T13:52:06.177Z
}
2.输入类型
在上例中，输入类型是stdin，也就是手动输入，而在生产环境中，日记不大概通过手工输入的发生产生，因此stdin通常都是用于测试环境是否搭建成功，下面会介绍几种常见的输入类型。
2.1 file
input {
file {
path => ["/tmp/test/*.txt"]
# 从最开始读日志文件（默认是末尾），仅在读取记录没有任何记录的情况下生效，也就是说，在服务停止的时候有新文件产生，服务器启动后可以读取到（旧文件不行）
start_position => "beginning"
}
}
文件的读取记载放在/usr/share/logstash/data/plugins/inputs/file/.sincedb_3cd99a80ca58225ec14dc0ac340abb80中
# cat /usr/share/logstash/data/plugins/inputs/file/.sincedb_3cd99a80ca58225ec14dc0ac340abb80
5874000 0 64768 4 1663254379.147252 /tmp/test/1.txt
2.2 tcp
和filebeat一样，Logstash同样支持监听TCP的某一个端口，用来吸收日记。可以同时监听多个端口
这种方式通常用于无法安装客户端的服务器
也可以使用HTTP协议，配置方法和TCP类似
#vim 03-tcp-stdout.conf
input {
tcp {
port => 9999
}
}
output {
stdout {}
}
# telnet 192.168.19.103 9999
Trying 192.168.19.103...
Connected to 192.168.19.103.
Escape character is '^]'.
123456
test
hello
{
"message" => "123456\r",
"@version" => "1",
"@timestamp" => 2022-09-15T15:30:23.123Z,
"host" => "host2",
"port" => 51958
}
{
"message" => "test\r",
"@version" => "1",
"@timestamp" => 2022-09-15T15:30:24.494Z,
"host" => "host2",
"port" => 51958
}
{
"message" => "hello\r",
"@version" => "1",
"@timestamp" => 2022-09-15T15:30:26.336Z,
"host" => "host2",
"port" => 51958
}
2.3 redis
Logstash支持直接从redis数据库中拿数据。支持三种redis数据类型：
[*]list，表示的redis下令为blpop，代表从redis list的左边获取第一个元素，如无元素则壅闭；
[*]channel，表示的redis下令为subscribe，代表从redis频道获取最新的数据；
[*]pattern_channel，表示的redis下令为psubscribe，代表通过pattern正则表达式匹配频道，获取最新的数据。
数据类型之间的区别：
[*]channel与pattern_channel的区别在于，pattern_channel可以通过正则表达式匹配多个频道，而channel是单一频道；
[*]list与别的两个channel的区别在于，1个channel的数据会被多个订阅的logstash重复获取，1个list的数据被多个logstash获取时不会重复，会被分摊在各个Logstash中。
输入配置如下
input {
redis {
data_type => "list" # 指定数据类型
db => 5 # 指定数据库，默认是0
host => "192.168.19.101" # 指定redis服务器IP，默认是localhost
port => 6379
password => "bruce"
key => "test-list"
}
}
redis中追加数据
# redis-cli -h host1 -a bruce
host1:6379> select 5
OK
host1:6379> lpush test-list bruce
(integer) 1
host1:6379> lrange test-list 0 -1
(empty list or set)
host1:6379> lpush test-list hello
(integer) 1
host1:6379> lrange test-list 0 -1 # 可以看到，Logstash获取数据后，会将列表清空
(empty list or set)
host1:6379> lpush test-list '{"requestTime":"","clientIP":"192.168.19.1","threadID":"http-bio-8080-exec-7","protocol":"HTTP/1.1","requestMethod":"GET / HTTP/1.1","requestStatus":"404","sendBytes":"-","queryString":"","responseTime":"0ms","partner":"-","agentVersion":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36"}'
Logstash获取数据
{
"message" => "bruce",
"@timestamp" => 2022-09-16T08:17:38.213Z,
"@version" => "1",
"tags" => [
"_jsonparsefailure"
]
}
# 非json格式数据会报错，但是能接收
2022-09-16 16:18:21.688 [<redis] json - JSON parse error, original data now in message field {:message=>"Unrecognized token 'hello': was expecting ('true', 'false' or 'null')\n at ", :exception=>LogStash::Json::ParserError, :data=>"hello"}
{
"message" => "hello",
"@timestamp" => 2022-09-16T08:18:21.689Z,
"@version" => "1",
"tags" => [
"_jsonparsefailure"
]
}
# json格式的数据过来，Logstash可以自动解析
{
"clientIP" => "192.168.19.1",
"requestTime" => "",
"queryString" => "",
"@version" => "1",
"agentVersion" => "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36",
"partner" => "-",
"@timestamp" => 2022-09-16T08:23:10.320Z,
"protocol" => "HTTP/1.1",
"requestStatus" => "404",
"threadID" => "http-bio-8080-exec-7",
"requestMethod" => "GET / HTTP/1.1",
"sendBytes" => "-",
"responseTime" => "0ms"
}
2.4 beats
在FileBeat中已经配置好了将日记输出到Logstash，在Logstash中，只必要吸收数据即可。
filebeat配置
filebeat.inputs:
- type: log
paths: /tmp/1.txt
output.logstash:
hosts: ["192.168.19.103:5044"]
Logstash配置
input {
beats {
port => 5044
}
}
host2上在/tmp/1.txt中追加111，Logstash的输出
{
"message" => "111",
"tags" => [
"beats_input_codec_plain_applied"
],
"agent" => {
"id" => "76b7876b-051a-4df8-8b13-bd013ac5ec59",
"version" => "7.17.4",
"hostname" => "host2.test.com",
"type" => "filebeat",
"name" => "host2.test.com",
"ephemeral_id" => "437ac89f-7dc3-4898-a457-b2452ac4223b"
},
"input" => {
"type" => "log"
},
"host" => {
"name" => "host2.test.com"
},
"log" => {
"offset" => 0,
"file" => {
"path" => "/tmp/1.txt"
}
},
"@version" => "1",
"ecs" => {
"version" => "1.12.0"
},
"@timestamp" => 2022-09-16T08:53:20.975Z
}
3. 输出类型
3.1 redis
redis也可以作为输出类型，配置方式和输入类似
output {
redis {
data_type => "list"
db => 6
host => "192.168.19.101"
port => 6379
password => "bruce"
key => "test-list"
}
}
查看redis数据库
# redis-cli -h host1 -a bruce
host1:6379> select 6
OK
host1:6379> lrange test-list 0 -1
1) "{\"message\":\"1111\",\"@version\":\"1\",\"@timestamp\":\"2022-09-16T09:12:29.890Z\",\"host\":\"host3.test.com\"}"
3.2 file
file类型是输出到本地磁盘保存。
output {
file {
path => "/tmp/test-file.log"
}
}
3.3 elasticsearch
output {
elasticsearch {
hosts => ["192.168.19.101:9200","192.168.19.102:9200","192.168.19.103:9200"]
index => "centos-logstash-elasticsearh-%{+YYYY.MM.dd}"
}
}
4. filter
filter是一个可选插件，在吸收到日记信息后，可以对日记进行格式化，然后再输出。
4.1 grok
grok可以用来解析任意文本并进行结构化。该工具适合syslog日记、Apache和其他网络服务器日记。
①简单示例
input {
file {
path => ["/var/log/nginx/access.log*"]
start_position => "beginning"
}
}
filter {
grok {
match => {
"message" => "%{COMBINEDAPACHELOG}"
# "message" => "%{HTTPD_COMMONLOG}" # 新版本Logstash可能会用这个变量
}
}
}
output {
stdout {}
elasticsearch {
hosts => ["192.168.19.101:9200","192.168.19.102:9200","192.168.19.103:9200"]
index => "nginx-logs-es-%{+YYYY.MM.dd}"
}
}
解析出来的结果：
{
"request" => "/",
"bytes" => "4833",
"@version" => "1",
"auth" => "-",
"agent" => "\"curl/7.29.0\"",
"path" => "/var/log/nginx/access.log-20220913",
"ident" => "-",
"verb" => "GET",
"message" => "192.168.19.102 - - \"GET / HTTP/1.1\" 200 4833 \"-\" \"curl/7.29.0\" \"-\"",
"httpversion" => "1.1",
"host" => "host3.test.com",
"@timestamp" => 2022-09-16T14:27:43.208Z,
"response" => "200",
"timestamp" => "12/Sep/2022:21:48:29 +0800",
"referrer" => "\"-\"",
"clientip" => "192.168.19.102"
}
https://img-blog.csdnimg.cn/direct/a1779346ae644dc5a839b73332961727.png#pic_center
②预界说字段
grok是基于正则表达式来进行匹配，它的语法格式是%{SYNTAX:SEMANTIC}
[*]SYNTAX是将匹配您的文本的模式的名称，这是内置好的语法，官方支持120种字段。
[*]SEMANTIC是您为要匹配的文本提供的标识符，也就是你要给它去的名字。
示例：
[*]日记源文件
55.3.244.1 GET /index.html 15824 0.043
[*]匹配的字段应该是
%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}
[*]配置文件
input {
stdin {}
}
filter {
grok {
match => { "message" => "%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}" }
}
}
output {
stdout {}
}
[*]匹配出来的结果
55.3.244.1 GET /index.html 15824 0.043
{ "message" => "55.3.244.1 GET /index.html 15824 0.043
", "@version" => "1", "@timestamp" => 2022-09-16T14:46:46.426Z, "method" => "GET", "request" => "/index.html", "bytes" => "15824", "duration" => "0.043", "host" => "host3.test.com", "client" => "55.3.244.1"} 针对不同服务的日记，可以查看官方文档的界说：
https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns
③自界说字段
当预界说的字段不符合要求时，grok也支持自界说正则表达式来匹配日记信息
[*]首先必要创建自界说表达式保存的目录，并将表达式写进去
# mkdir patterns
# echo "POSTFIX_QUEUEID {10,11}" >> ./patterns/1
[*]修改配置文件
input {
stdin {}
}
filter {
grok {
patterns_dir => ["/root/patterns"] # 指定表达式位置
match => { "message" => "%{SYSLOGBASE} %{POSTFIX_QUEUEID:queue_id}: %{GREEDYDATA:syslog_message}" } # 这里有系统预定义的，也有自定义的表达式，大括号外的字符就是常规的字符，需要逐个匹配，如冒号:
}
}
output {
stdout {}
}
[*]运行并测试
...
The stdin plugin is now waiting for input:
2022-09-16 23:22:04.511 agent - Pipelines running {:count=>1, :running_pipelines=>[:main], :non_running_pipelines=>[]}
Jan1 06:25:43 mailserver14 postfix/cleanup: BEF25A72965: message-id=<20130101142543.5828399CCAF@mailserver14.example.com>
{
"message" => "Jan1 06:25:43 mailserver14 postfix/cleanup: BEF25A72965: message-id=<20130101142543.5828399CCAF@mailserver14.example.com>",
"host" => "host3.test.com",
"timestamp" => "Jan1 06:25:43",
"queue_id" => "BEF25A72965", # 自定义表达式匹配的字段
"logsource" => "mailserver14",
"@timestamp" => 2022-09-16T15:22:19.516Z,
"program" => "postfix/cleanup",
"pid" => "21403",
"@version" => "1",
"syslog_message" => "message-id=<20130101142543.5828399CCAF@mailserver14.example.com>"
}
4.2 通用字段
顾名思义，这些字段可以用在全部属于filter的插件中。
[*]remove_field
filter {
grok {
remove_field => ["@version","tag","agent"]
}
}
[*]add_field
filter {
grok {
add_field => ["new_tag" => "hello world %{YYYY.mm.dd}"]
}
}
4.3 date
在数据中，会有两个时间戳timestamp和@timestamp，日记产生的时间和数据采集的时间，这两个时间大概会不同等。
date插件可以用来转换日记记载中的时间字符串，参考@timestamp字段里的时间。date插件支持五种时间格式：
[*]ISO8601
[*]UNIX
[*]UNIX_MS
[*]TAI64N
input {
file {
path => "/var/log/nginx/access.log*"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{HTTPD_COMMONLOG}" }
remove_field => ["message","ident","auth","@version","path"]
}
date {
match => [ "timestamp","dd/MMM/yyyy:HH:mm:ss Z" ]
# timestamp必须是现有的字段，这里只是对这个字段的时间进行校正，且需要和timestamp字段的原数据格式一致，否则会报解析错误
# timestamp原来的数据格式为"17/Sep/2022:18:42:26 +0800"，因此时区改成ZZZ就会一直报错，因为ZZZ代表Asia/Shanghai这种格式，Z代表+0800
timezone => "Asia/Shanghai"
}
}
output {
stdout {}
}
输出的格式：
{
"timestamp" => "17/Sep/2022:18:42:26 +0800", #和@timestamp有8小时的时间差，可到Elasticsearch中查看，如果也有时间差，可以在date中修改timezone
"response" => "200",
"httpversion" => "1.1",
"clientip" => "192.168.19.102",
"verb" => "GET",
"host" => "host3.test.com",
"request" => "/",
"@timestamp" => 2022-09-17T10:42:26.000Z,
"bytes" => "4833"
}
使用target将匹配到的时间字段解析后存储到目的字段，若不指定，默认是@timestamp字段。这个字段在Kibana中创建索引时可以用到
date {
match => [ "timestamp","dd/MMM/yyyy:HH:mm:ss Z" ]
timezone => "Asia/Shanghai"
target => "logtime"
}
# 结果
{
"timestamp" => "17/Sep/2022:21:15:30 +0800",
"response" => "200",
"logtime" => 2022-09-17T13:15:30.000Z, # 日志产生的时间
"httpversion" => "1.1",
"clientip" => "192.168.19.102",
"verb" => "GET",
"host" => "host3.test.com",
"request" => "/",
"@timestamp" => 2022-09-17T13:15:31.357Z, # 日志记录的时间，可以看到和日志产生的时间有一定的延迟
"bytes" => "4833"
}
4.4 geoip
用来解析访问IP的位置信息。这个插件是依靠GeoLite2城市数据库，信息不一定准确，也可以自己下载MaxMind格式的数据库然后应用，官方网站有自界说数据库的引导手册。
input {
file {
path => "/var/log/nginx/access.log*"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{HTTPD_COMMONLOG}" }
remove_field => ["message","ident","auth","@version","path"]
}
geoip {
source => "clientip" # IP地址的源参考clientip字段
# fields => ["country_name" ,"timezone", "city_name"] # 可以选择显示的字段
}
}
output {
stdout {}
}
得到的结果，可以看到，私有地址无法正常解析
{
"timestamp" => "17/Sep/2022:21:15:30 +0800",
"response" => "200",
"geoip" => {},
"httpversion" => "1.1",
"clientip" => "192.168.19.102",
"verb" => "GET",
"host" => "host3.test.com",
"tags" => [
"_geoip_lookup_failure" # 私网地址
],
"request" => "/",
"@timestamp" => 2022-09-17T13:30:05.178Z,
"bytes" => "4833"
}
{
"timestamp" => "17/Sep/2022:21:15:30 +0800",
"response" => "200",
"geoip" => { # 解析的结果放在geoip中
"country_code2" => "CM",
"country_code3" => "CM",
"country_name" => "Cameroon",
"ip" => "154.72.162.134",
"timezone" => "Africa/Douala",
"location" => {
"lon" => 12.5,
"lat" => 6.0
},
"continent_code" => "AF",
"latitude" => 6.0,
"longitude" => 12.5
},
"httpversion" => "1.1",
"clientip" => "154.72.162.134",
"verb" => "GET",
"host" => "host3.test.com",
"request" => "/",
"@timestamp" => 2022-09-17T13:30:05.178Z,
"bytes" => "4833"
}
4.5 useragent
用来解析浏览器的信息。前提是输出的信息有浏览器信息字段。
input {
file {
path => "/var/log/nginx/access.log*"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{HTTPD_COMBINEDLOG}" } # HTTPD_COMBINEDLOG可以解析浏览器
remove_field => ["message","ident","auth","@version","path"]
}
useragent {
source => "agent" # 指定浏览器信息在哪个字段中，这个字段必须要存在
target => "agent_test" # 为了方便查看，将所有解析后的信息放到这个字段里面去
}
}
output {
stdout {}
}
得到的结果：
{
"timestamp" => "17/Sep/2022:23:42:31 +0800",
"response" => "404",
"geoip" => {},
"httpversion" => "1.1",
"clientip" => "192.168.19.103",
"verb" => "GET",
"agent" => "\"Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0\"",
"host" => "host3.test.com",
"request" => "/favicon.ico",
"referrer" => "\"-\"",
"@timestamp" => 2022-09-17T15:42:31.927Z,
"bytes" => "3650",
"agent_test" => {
"major" => "60",
"name" => "Firefox",
"os" => "Linux",
"os_full" => "Linux",
"os_name" => "Linux",
"version" => "60.0",
"minor" => "0",
"device" => "Other"
}
}
{
{
...
"agent_test" => {
"major" => "60",
"name" => "Firefox",
"os" => "Linux",
"os_full" => "Linux",
"os_name" => "Linux",
"version" => "60.0",
"minor" => "0",
"device" => "Other"
}
}
{
...
"agent_test" => {
"os_minor" => "0",
"os_full" => "iOS 16.0",
"version" => "16.0",
"os_major" => "16",
"device" => "iPhone",
"major" => "16",
"name" => "Mobile Safari",
"os" => "iOS",
"os_version" => "16.0",
"os_name" => "iOS",
"minor" => "0"
}
}
{
...
"agent_test" => {
"patch" => "3987",
"os_full" => "Android 10",
"version" => "80.0.3987.162",
"os_major" => "10",
"device" => "Samsung SM-G981B",
"major" => "80",
"name" => "Chrome Mobile",
"os" => "Android",
"os_version" => "10",
"os_name" => "Android",
"minor" => "0"
}
}
4.6 mutate
[*]切割自定的字段
input {
stdin {}
}
filter {
mutate {
split => {
message =>" " # 将message消息以空格作为分隔符进行分割
}
remove_field => ["@version","host"]
add_field => {
"tag" => "This a test field from Bruce"
}
}
}
output {
stdout {}
}
111 222 333
{
"tag" => "This a test field from Bruce",
"message" => [
"111",
"222",
"333"
],
"@timestamp" => 2022-09-18T08:07:36.373Z
}
[*]将切割后的数据取出来
input {
stdin {}
}
filter {
mutate {
split => {
message =>" " # 将message消息以空格作为分隔符进行分割
}
remove_field => ["@version","host"]
add_field => {
"tag" => "This a test field from Bruce"
}
}
mutate {
add_field => {
"name" => "%{}"
"age" => "%{}"
"sex" => "%{}"
}
}
}
output {
stdout {}
}
bruce 37 male
{
"message" => [
"bruce",
"37",
"male"
],
"age" => "37",
"@timestamp" => 2022-09-18T08:14:31.230Z,
"sex" => "male",
"tag" => "This a test field from Bruce",
"name" => "bruce"
}
[*]convert：将字段的值转换成不同的类型，例如将字符串转换成证书，如字段值是一个数组，全部成员都会被转换。如果该字段是散列，则不会采取任何动作
filter {
mutate {
convert => {
"age" => "integer" # 将age转换成数字类型
}
}
}
bruce 20 male
{
"message" => [
"bruce",
"20",
"male"
],
"sex" => "male",
"name" => "bruce",
"age" => 20, # 没有引号，代表已经修改成数字类型了
"@timestamp" => 2022-09-18T08:51:07.633Z,
"tag" => "This a test field from Bruce"
}
[*]strip：剔除字段中的前导和尾随的空格
filter {
mutate {
strip => { "name","sex" }
}
}
[*]rename：修改字段名
filter {
mutate {
rename => { "sex" => "agenda" }
}
}
[*]replace：替换字段内容
filter {
mutate {
replace => { "tag" => "This is test message" } # 修改了tag字段的内容
}
}
[*] update：用法和replace一样，区别在于如果字段存在则修改内容，如果过不存在则忽略此操作
[*] uppercase/lowercase：转换成大写/小写；capitalize：首字母大写。转换的是字段内容
filter {
mutate {
uppercase => "tag"
capitalize => "name"
}
}
5 高级特性
5.1 判定语法
在input中打上标记后，可以在output和filter中通过判定语句来做区别化的处理
input {
beats {
port => 8888
type => "nginx-beats"
}
tcp {
port => 9999
type => "tomcat-tcp"
}
}
output {
if == "nginx-beats" {
elasticsearch {
hosts => ["192.168.19.101:9200","192.168.19.102:9200","192.168.19.103:9200"]
index => "nginx-beats-elasticsearh-%{+YYYY.MM.dd}"
}
} else {
elasticsearch {
hosts => ["192.168.19.101:9200","192.168.19.102:9200","192.168.19.103:9200"]
index => "tomcat-tcp-elasticsearh-%{+YYYY.MM.dd}"
}
}
5.2 多实例运行
Logstash支持多实例运行，但是如果直接启动，第二个实例会报错，必要指定path.data的路径才气正常启动。
# logstash -f 01-stdin-stdout.conf --path.data /tmp/logstash
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