Working on getting our Quarkus log files into elasticsearch. My problem is in trying to process the logs in logstash... How can I get the traceId and spanId using grok filter?
Here's a sample log entry:
21:11:32 INFO traceId=50a4f8740c30b9ca, spanId=50a4f8740c30b9ca, sampled=true [or.se.po.re.EmployeeResource] (vert.x-eventloop-thread-1) getEmployee with [id:2]
Here is my grok:
%{TIME} %{LOGLEVEL} %{WORD:traceId} %{WORD:spanId} %{GREEDYDATA:msg}
Using grok debugger, it seem traceId and spanId are not detected.
AFIK Grok expressions need to be exactly as the original text. So try to add commas, spaces and event all the text you do not want to capture. For instance traceId=
%{TIME} %{LOGLEVEL} traceId=%{WORD:traceId}, spanId=%{WORD:spanId}, %{GREEDYDATA:msg}
This is the output from https://grokdebug.herokuapp.com/ for your log line and my grok expression suggestion.
{
"TIME": [
[
"21:11:32"
]
],
"HOUR": [
[
"21"
]
],
"MINUTE": [
[
"11"
]
],
"SECOND": [
[
"32"
]
],
"LOGLEVEL": [
[
"INFO"
]
],
"traceId": [
[
"50a4f8740c30b9ca"
]
],
"spanId": [
[
"50a4f8740c30b9ca"
]
],
"msg": [
[
"sampled=true [or.se.po.re.EmployeeResource] (vert.x-eventloop-thread-1) getEmployee with [id:2]"
]
]
}
As other users have mentioned, it is important to notice the spaces between the words. For instance, there are two spaces between the logLevel and the traceId. You can use the s+ regular expression to forget about them. But maybe using it too much has a big (and bad) impact on performance.
%{TIME}\s+%{LOGLEVEL}\s+traceId=%{WORD:traceId},\s+spanId=%{WORD:spanId},\s+%{GREEDYDATA:msg}
The issue could be a couple of things:
The spacing between fields might be off (try adding \s? or perhaps \t after %{LOGLEVEL})
The %{WORD} pattern might not be picking up the value because of the inclusion of =
Something like this pattern could work (you might need to modify it some):
^%{TIME:time} %{LOGLEVEL:level}\s?(?:%{WORD:traceid}=%{WORD:traceid}), (?:%{WORD:spanid}=%{WORD:spanid}), (?:%{WORD:sampled}=%{WORD:sampled}) %{GREEDYDATA:msg}$
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"
}
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"
]
]
}