Need logstash filter for client ip , 12.34.56.78:1234
I need to filter the client Ip , only I require 12.34.56.78 not the things after :.
Try this:
GROK pattern:
%{IP:ip}:%{GREEDYDATA:others}
OUTPUT:
{
"ip": [
[
"12.34.56.78"
]
],
"IPV6": [
[
null
]
],
"IPV4": [
[
"12.34.56.78"
]
],
"others": [
[
"1234"
]
]
}
This should work (I haven't tested it):
mutate {
gsub => ["ip_field_name", ":\d+", ""]
}
The :\d+ will capture the : and all following digits and the mutate#gsub option will replace this with an empty string.
I am using ELK(elastic search, kibana, logstash, filebeat) to collect logs. I have a log file with following lines, every line has a json, my target is to using Logstash Grok to take out of key/value pair in the json and forward it to elastic search.
2018-03-28 13:23:01 charge:{"oldbalance":5000,"managefee":0,"afterbalance":"5001","cardid":"123456789","txamt":1}
2018-03-28 13:23:01 manage:{"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}
I am using Grok Debugger to make regex pattern and see the result. My current regex is:
%{TIMESTAMP_ISO8601} %{SPACE} %{WORD:$:data}:{%{QUOTEDSTRING:key1}:%{BASE10NUM:value1}[,}]%{QUOTEDSTRING:key2}:%{BASE10NUM:value2}[,}]%{QUOTEDSTRING:key3}:%{QUOTEDSTRING:value3}[,}]%{QUOTEDSTRING:key4}:%{QUOTEDSTRING:value4}[,}]%{QUOTEDSTRING:key5}:%{BASE10NUM:value5}[,}]
As one could see it is hard coded since the keys in json in real log could be any word, the value could be integer, double or string, what's more, the length of the keys varies. so my solution is not acceptable. My solution result is shown as follows, just for reference. I am using Grok patterns.
My question is that trying to extract keys in json is wise or not since elastic search use json also? Second, if I try to take keys/values out of json, are there correct,concise Grok patterns?
current result of Grok patterns give following output when parsing first line in above lines.
{
"TIMESTAMP_ISO8601": [
[
"2018-03-28 13:23:01"
]
],
"YEAR": [
[
"2018"
]
],
"MONTHNUM": [
[
"03"
]
],
"MONTHDAY": [
[
"28"
]
],
"HOUR": [
[
"13",
null
]
],
"MINUTE": [
[
"23",
null
]
],
"SECOND": [
[
"01"
]
],
"ISO8601_TIMEZONE": [
[
null
]
],
"SPACE": [
[
""
]
],
"WORD": [
[
"charge"
]
],
"key1": [
[
""oldbalance""
]
],
"value1": [
[
"5000"
]
],
"key2": [
[
""managefee""
]
],
"value2": [
[
"0"
]
],
"key3": [
[
""afterbalance""
]
],
"value3": [
[
""5001""
]
],
"key4": [
[
""cardid""
]
],
"value4": [
[
""123456789""
]
],
"key5": [
[
""txamt""
]
],
"value5": [
[
"1"
]
]
}
second edit
Is it possible to use Json filter of Logstash? but in my case Json is part of line/event, not whole event is Json.
===========================================================
Third edition
I do not see updated solution functions well to parse json. My regex is as follows:
filter {
grok {
match => {
"message" => [
"%{TIMESTAMP_ISO8601}%{SPACE}%{GREEDYDATA:json_data}"
]
}
}
}
filter {
json{
source => "json_data"
target => "parsed_json"
}
}
It does not have key:value pair, instead it is msg+json string. The parsed json is not parsed.
Testing data is as below:
2018-03-28 13:23:01 manage:{"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}
2018-03-28 13:23:03 payment:{"cuurentValue":5001,"reload":0,"newbalance":"5002","posid":"987654321","something":"new3","additionalFields":2}
2018-03-28 13:24:07 management:{"cuurentValue":5002,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}
[2018-06-04T15:01:30,017][WARN ][logstash.filters.json ] Error parsing json {:source=>"json_data", :raw=>"manage:{\"cuurentValue\":5000,\"payment\":0,\"newbalance\":\"5001\",\"posid\":\"123456789\",\"something\":\"new2\",\"additionalFields\":1}", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'manage': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"manage:{"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}"; line: 1, column: 8]>}
[2018-06-04T15:01:30,017][WARN ][logstash.filters.json ] Error parsing json {:source=>"json_data", :raw=>"payment:{\"cuurentValue\":5001,\"reload\":0,\"newbalance\":\"5002\",\"posid\":\"987654321\",\"something\":\"new3\",\"additionalFields\":2}", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'payment': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"payment:{"cuurentValue":5001,"reload":0,"newbalance":"5002","posid":"987654321","something":"new3","additionalFields":2}"; line: 1, column: 9]>}
[2018-06-04T15:01:34,986][WARN ][logstash.filters.json ] Error parsing json {:source=>"json_data", :raw=>"management:{\"cuurentValue\":5002,\"payment\":0,\"newbalance\":\"5001\",\"posid\":\"123456789\",\"something\":\"new2\",\"additionalFields\":1}", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'management': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"management:{"cuurentValue":5002,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}"; line: 1, column: 12]>}
Please check the result:
You can use GREEDYDATA to assign entire block of json to a separate field like this,
%{TIMESTAMP_ISO8601}%{SPACE}%{GREEDYDATA:json_data}
This will create a separate file for your json data,
{
"TIMESTAMP_ISO8601": [
[
"2018-03-28 13:23:01"
]
],
"json_data": [
[
"charge:{"oldbalance":5000,"managefee":0,"afterbalance":"5001","cardid":"123456789","txamt":1}"
]
]
}
Then apply a json filter on json_data field as follows,
json{
source => "json_data"
target => "parsed_json"
}
Following log:
Jul 25 07:45:12 tst-proxy202 haproxy[1104]: 10.64.111.222:36635 [25/Jul/2016:07:45:12.479] promocloud~ promocloud/tst-service-proxy203 32/0/1/27/60 200 664 - - ---- 0/0/0/0/0 0/0 {} {} "POST /RTI HTTP/1.1"
Is parsed with ${HAPROXYHTTP} grok pattern
%{SYSLOGTIMESTAMP:syslog_timestamp} %{IPORHOST:syslog_server} %{SYSLOGPROG}: %{IP:client_ip}:%{INT:client_port} \[%{HAPROXYDATE:accept_date}\] %{NOTSPACE:frontend_name} %{NOTSPACE:backend_name}/%{NOTSPACE:server_name} %{INT:time_request}/%{INT:time_queue}/%{INT:time_backend_connect}/%{INT:time_backend_response}/%{NOTSPACE:time_duration} %{INT:http_status_code} %{NOTSPACE:bytes_read} %{DATA:captured_request_cookie} %{DATA:captured_response_cookie} %{NOTSPACE:termination_state} %{INT:actconn}/%{INT:feconn}/%{INT:beconn}/%{INT:srvconn}/%{NOTSPACE:retries} %{INT:srv_queue}/%{INT:backend_queue} (\{%{HAPROXYCAPTUREDREQUESTHEADERS}\})?( )?(\{%{HAPROXYCAPTUREDRESPONSEHEADERS}\})?( )?"(<BADREQ>|(%{WORD:http_verb} (%{URIPROTO:http_proto}://)?(?:%{USER:http_user}(?::[^#]*)?#)?(?:%{URIHOST:http_host})?(?:%{URIPATHPARAM:http_request})?( HTTP/%{NUMBER:http_version})?))?"
This works well, up to some unexpected null in the syslog_server in a HOSTNAME section
"syslog_server": [
[
"tst-proxy202"
]
],
"HOSTNAME": [
[
"tst-proxy202",
null <<<<<<<<<
]
],
"IP": [
[
null,
null
]
],
"IPV6": [
[
null,
null,
null
]
],
"IPV4": [
[
null,
"10.64.111.222",
null
]
],
I did parse this with https://grokdebug.herokuapp.com/
and the patterns IPORHOST, and the IPORHOST
https://grokdebug.herokuapp.com/patterns#
works well against the hostname
tst-proxy202
%{IPORHOST:syslog_server}
{
"syslog_server": [
[
"tst-proxy202"
]
],
"HOSTNAME": [
[
"tst-proxy202"
]
],
"IP": [
[
null
]
],
"IPV6": [
[
null
]
],
"IPV4": [
[
null
]
]
}
Any idea what might be the problem?
If I understood you correctly you are trying to get rid of that null value. Well, the null value occurs because of the last part of the HAPROXYHTTP pattern (where it says ?(?:%{URIHOST:http_host})?(?:%{URIPATHPARAM:http_request})?( HTTP/%{NUMBER:http_version})?))?"). It somehow adds an empty HOSTNAME. Luckily, this is not a serious problem and here is why:
The default options of the grok filter include named_captures_only => true (docs) and keep_empty_captures => false (docs). Try these two options in the grok debugger and your output looks pretty clean. In logstash you don't have to change anything.
If logstash misinterprets your hostname try to retrieve it from the grok values yourself (e.g. use the mutate filter):
filter {
mutate {
replace => { "HOSTNAME" => "%{syslog_server}" }
}
}
Please let me know if you have further problems.
Can anyone please tell me the GROK pattern for this log
I am new to Logstash. Any help is appreciated
: "ppsweb1 [ERROR] [JJN01234313887b4319ad0536bf6324j34h5469624340M] [913h56a5-e359-4a75-be9a-fae60d1a5ecb] 2016-07-28 13:14:58.848 [http-nio-8080-exec-4] PaymentAction - Net amount 149644"
I tried the following:
%{WORD:field1} \[%{LOGLEVEL:field2}\] \[%{NOTSPACE:field3}\] \[%{NOTSPACE:field4}\] %{TIMESTAMP_ISO8601:timestamp} \[%{NOTSPACE:field5}\] %{WORD:field6} - %{GREEDYDATA:field7} %{NUMBER:filed8}
And I got the output as:
{
"field1": [
[
"ppsweb1"
]
],
"field2": [
[
"ERROR"
]
],
"field3": [
[
"JJN01234313887b4319ad0536bf6324j34h5469624340M"
]
],
"field4": [
[
"913h56a5-e359-4a75-be9a-fae60d1a5ecb"
]
],
"timestamp": [
[
"2016-07-28 13:14:58.848"
]
],
"field5": [
[
"http-nio-8080-exec-4"
]
],
"field6": [
[
"PaymentAction"
]
],
"field7": [
[
"Net amount"
]
],
"filed8": [
[
"149644"
]
]
}
You can change the names of fields as you want. You haven't mentioned anything about expected output in your question. So this is just to give you a basic idea. For further modifications you can use http://grokdebug.herokuapp.com/ to verify your filter.
Note: I have used basic patterns, there are complex patterns available and you can play around with the debugger to suit your requirements.
Good luck!
I have the following I'm trying to parse with GROK:
Hello|STATSTIME=20-AUG-15 12.20.03.051000 PM|World
I can parse the first bunch of it with GROK like so:
match => ["message","%{WORD:FW}\|STATSTIME=%{MONTHDAY:MDAY}-%{WORD:MON}-%{INT:YY} %{INT:HH}"]
Anything further than that gives me an error. I can't figure out how to quote the : character, : does not work and %{TIME:time} does not work. I'd like to be able to get the whole thing as a timestamp, but can't get it broken up. Any ideas?
You can use this to debug grok expressions
The time format is as shown here
To parse 12.20.03.051000
%{INT:hour}.%{INT:min}.%{INT:sec}.%{INT:ms}
Output will be something like this
{
"hour": [
[
"12"
]
],
"min": [
[
"20"
]
],
"sec": [
[
"03"
]
],
"ms": [
[
"051000"
]
]
}