I have a log message from my server with the format below:
{"host":"a.b.com","source_type":"ABCD"}
I have this grok pattern so far but it accepts any word in double quotation.
\A%{QUOTEDSTRING}:%{PROG}
how can I change "QUOTEDSTRING" that only check for "host"?
"host" is not at the beginning of the message all the time and it can be found in the middle of message as well.
Thanks for your help.
Since the question specified that "host" can be anywhere between in the log, you can use the following:
\{(\"%{GREEDYDATA:data_before}\",)?(\"host\":\"%{DATA:host_value}\")?(,\"%{GREEDYDATA:data_after}\")?\}
Explanation :
data_before stores the optional data before host type entry is found. You can separate it more as per your need
host : this stores the host value
data_after stores the optional data after host type entry is found. You can seaprate it more as per your need
Example :
{"host":"a.b.com","source_type":"ABCD"}
Output :
{
"data_before": [
[
null
]
],
"host_value": [
[
"a.b.com"
]
],
"data_after": [
[
"source_type":"ABCD"
]
]
}
{"host":"a.b.com"}
Output :
{
"data_before": [
[
null
]
],
"host_value": [
[
"a.b.com"
]
],
"data_after": [
[
null
]
]
}
{"source_type":"ABCD","host":"a.b.com","data_type":"ABCD"}
Output :
{
"data_before": [
[
"source_type":"ABCD"
]
],
"host_value": [
[
"a.b.com"
]
],
"data_after": [
[
"data_type":"ABCD"
]
]
}
Tip : Use the following resources to tune and test your logging patterns :
Grok Debugger
Grok Patterns Full List
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}$
how can we get just extract the sessionid number from a pattern in grok
for example
"sessionid$:999"
I am trying to use %{DATA:line} but it gets
"line": [
[
" Sessionid$:999"
]
how can just get the session number and ignore "sessionId$" in it
Thanks
Try this:
GROK pattern:
Sessionid.\s*:%{NUMBER:line}
OUTPUT:
{
"line": [
[
"999"
]
],
"BASE10NUM": [
[
"999"
]
]
}
I am using ELK(elastic search, kibana, logstash, filebeat) to collect logs. I have a log file with following lines, every line has a json, my target is to using Logstash Grok to take out of key/value pair in the json and forward it to elastic search.
2018-03-28 13:23:01 charge:{"oldbalance":5000,"managefee":0,"afterbalance":"5001","cardid":"123456789","txamt":1}
2018-03-28 13:23:01 manage:{"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1}
I am using Grok Debugger to make regex pattern and see the result. My current regex is:
%{TIMESTAMP_ISO8601} %{SPACE} %{WORD:$: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!