I am trying to match unix time in milliseconds since epoch in logstash/grok using the UNIX_MS pattern and I am getting :
pattern %{UNIX_MS:timestamp} not defined
The UNIX_MS is defined Logstash Date Log, and when I run with --configtest, the test passes, so I would expect this to work.
Example input: 1415731504.54126,metric1,130
My .conf:
filter {
grok {
match => [ "message", "%{UNIX_MS:timestamp},%{WORD:metric_type},%{BASE16FLOAT:value}" ]
}
}
UNIX_MS is marked on that pages as a "special exception". You can see in the grok debugger that it doesn't work in a "match".
%{NUMBER:timestamp} will give you the field.
Related
I have a problem with Logstash. It only matches the first occurence. For example. Im reciving data like this:
2015.01.01
2017.05.02
2015.08.03
2011.10.24
2010.02.25
And i have filter:
filter{
grok {
match => { "message" => "(?<started>%{YEAR}.%{MONTHNUM}.%{MONTHDAY})" }
}
I want have grab all dates and save it somewhere. But in the output i have only one result:
{
"message":"2015.01.01\n2017.05.02\n2015.08.03\n2011.10.24\n2010.02.25",
"host":"127.0.0.1",
"started":"2015.01.01",
}
How to tell logstash/grok to get all dates?
Thanks!
How is your input configuration and how are you sending the data over http?
When you set the input as a file it works because it reads the file line by line and each line only have one date.
When you send it using http it seems to be sending the whole file in one line, with the line breaks as \n, but everything is just only one event to logstash, that's why it only matchs the first date it finds.
I had created a logstash script to read a logfile which is having various timestamp of format "2018-05-08T12:18:53.506+0530". I am trying to parse it to date using the date filter in log stash
date{
match => ["edrTimestamp","yyyy-MM-dd'T'HH:mm:ss.SSS'Z'","ISO8601"]
target => "edrTimestamp"
}
The running the above logstash script it creates a elastic search index. But still the string is not parsed to date. It is also showing date parsed exception in the index.
It creates output like this.
{
"tags": [
"_dateparsefailure"
],
"statusCode": "805",
"campaignRedemptionLimitTotal": 1000,
"edrTimestamp": "2018-05-22T16:41:25.162+0530 ",
"msisdn": "+919066231327",
"timestamp": "2018-05-22T16:41:25.122+0530",
"redempKeyword": "print1",
"campaignId": "C910101-1527004962-1582",
"category": "RedeemRequestReceived"
}
Please tell me whats wrong in the above code> I had tried many others alternative but still it is not working.
Your issue is that your timestamp has a space at the end of it "edrTimestamp": "2018-05-22T16:41:25.162+0530 ", which is causing the date parsing to fail. You need to add a:
mutate {
strip => "edrTimestamp"
}
before your date filter.
I don't think you should be escaping the Z. So you probably want something like:
yyyy-MM-dd'T'HH:mm:ss,SSS
Also you should not be using "Z" since your time is not Zulu (0 offset). You will want to contain the offset as part of the pattern. The Heroku grok debug app is useful for this.
If I pass your string
2018-05-08T12:18:53.506+0530
and use the filter %{TIMESTAMP_ISO8601} then it matches, this pattern is made up of the following sub-patterns:
TIMESTAMP_ISO8601 %{YEAR}-%{MONTHNUM}-%{MONTHDAY}[T ]%{HOUR}:?%{MINUTE}(?::?%{SECOND})?%{ISO8601_TIMEZONE}?
I am trying to filter my logs matching few patterns I have. e.g:
E/vincinity/dholland_view_sql_global/IN/Cluster_Node/SSL-CACHE/Dsal1
F/vincinity/dholland_view_sql_local/IN/Cluster_Node3/SSL-CACHE/Dsal4
R/vincinity/dholland_view_sql_bran/IN/Cluster_Node/Sample/vr1.log
Now I want to grep these 3 paths from a bunch of logs: basically the pattern that I want to extract is logs containing "vincinity" "sql" and "IN" so with regex it would be simply *vincinity*sql*IN*
I tried this grok filter:
grok {
match => { "Vinc" => "%{URIPATHPARAM:*vincinity*sql*IN*}" }
}
Then I get _grokparsefailure in kibana - I'm brand new to grok, so perhaps I'm not approaching this correctly.
From the grok filter documentation
The syntax for a grok pattern is %{SYNTAX:SEMANTIC}
The way the grok filter should work is
grok {
match => {
"message" => "%{PATTERN:named_capture}"
}
}
Where message is the field that you want to parse, this is the default field that most inputs place your unparsed loglines in.
The URIPATHPARAM pattern is one predefined in logstash through a regex language called Onigurama. It may match your whole log message, but it will not capture certain chunks of it for you.
For help constructing a grok pattern, check out the docs, they link to a couple useful pattern construction tools.
The correct format for using a custom pattern in your grok block is:
(?<field_name>the pattern here)
or you can define your own custom pattern (using regular expression) in seperate file (my-pattern.txt) like this :
MYPATH_MUST_BE_UPPERCASE Regex_Pattern
save it in ./patterns directory and then use it this way:
grok {
patterns_dir => "./patterns"
match => ["message" , "%{MYPATH_MUST_BE_UPPERCAS:path}"]
}
in your case :
(?<vincinity>(?>/\s*.*?vincinity.*?\s*)+)
(?<sql>(?>/\s*.*?sql.*?/\s*)+)
(?<in>(?>\s*.*?(IN).*?\s*)+)
I am trying to extract the CPU usage and timestamp from the message:
2015-04-27T11:54:45.036Z| vmx| HIST ide1 IRQ 4414 42902 [ 250 - 375 ) count: 2 (0.00%) min/avg/max: 250/278.50/307
I am using logstash and here is my logstash.config file:
input {
file {
path => "/home/xyz/Downloads/vmware.log"
start_position => beginning
}
}
filter {
grok{
match => ["message", "%{#timestamp}"]
}
}
output{
stdout {
codec => rubydebug
}
}
But its giving me grok parse error, Any help would really be appreciated. Thanks.
As per the message from Magnus, you're using the grok match function incorrectly, #timestamp is the name of a system field that logstash uses as the timestamp the message was recieved at, not the name of a grok pattern.
First I recommend you have a look at some of the default grok patterns you can use which can be found here, then I also recommend you use the grok debugger finally, if all else fails, get yourself in the #logstash irc channel (on freenode), we're pretty active in there, so I'm sure someone will help you out.
Just to help you out a bit further, this is a quick grok pattern I have created which should match your example (I only used the grok debugger to test this, so results in production might not be perfect - so test it!)
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601}\|\ %{WORD}\|\ %{GREEDYDATA}\ min/avg/max:\ %{NUMBER:minimum}/%{NUMBER:average}/%{NUMBER:maximum}" ]
}
}
To explain slightly, %{TIMESTAMP_ISO8601} is a default grok pattern which matches the timestamp in your example.
You will notice the use of \ quite a lot, as the characters following this need to be escaped (because we're using a regex engine and spaces, pipes etc have a meaning, by escaping them we disable that meaning and use them literally).
I have used the %{GREEDYDATA} pattern as this will capture anything, this can be useful when you just want to capture the rest of the message, if you put it at the end of the grok pattern it will capture all remaining text.
I have then taken a bit from your example (min/avg/max) to stop the GREEDYDATA from capturing the rest of the message, as we want the data after that.
%{NUMBER} will capture numbers, obviously, but the bit after the : inside the curly braces defines the name that field will be given by logstash and subsequently saved in elasticsearch.
I hope that helps!
I'm trying to parse through a grok filter some very various exception, so I wrote a grok filter, with the help of rubular.com, to parse every single type of exception. The filter is:
grok {
match => { message => "^(?<year>\d{4})-(?<month>\d{1,2})-(?<day>\d{1,2})\W(?<hours>\d{2}):(?<minutes>\d{2}):(?<seconds>\d{2})(,)[0-9]*(.*)(?<log_level>(ERROR|INFO)) (?<exception>(.*\n^Axis.*\n.*\n.*\n.*\n.*\n.*\n.*\n.*)|(com.*trying.*\ncom.*is:.*\n.*java.*)|(com.*\n^org.*\n###.*non valido\n\n.*^###.*\n^###.*\n^###.*)|(.*trying.*\n^com.*ServiceException.*\n### Error querying.*\n\n.*\n^###.*\n.*)|(.*trying.*\n^com.*ServiceException.*\n^###.*\n^###.*)|(.*trying.*\n^com.*)|(.*\n^org.*\n###.*Exception.*\n### Cause:.*)|(com.*\n^org.*\n###.*)|(.*\n^java.*CORBA.*\n.*)|(.*\n^java*.*)|(com.*\n^com.*)|(.*null\n^Axis.*\n.*\n.*\n.*\n.*\n.*\n.*\n.*\n.*\n.*\n.*)|(.*\n))"}
}
which as you can see as a lot of OR conditions in the exception field and a lot of \n to take the carriage returns. The problem is that, from what I understood, Logstash can read only one line at a time and can't match multiple lines (so, even if on rubular this pattern was working perfectly, it doesn't in logstash).
How can I filter the exceptions correctly?
You can multiline before grok, for example java exceptions:
multiline {
type => %sometype
pattern => "(^\s)"
what => previous
}
So this will append all lines that starts with whitespace to previous. And after that you can use grok filter.
Oh, and you can mutate to avoid '\n' symbols after multiline:
mutate {
gsub => ["message", "\n", " "]
}
After that you are ready to filter multiline message.