I'm testing grok debugger, but I cannot get it to solve my problem.
sample text:
2014-06-17 04:37:30,317 c.e.A.MyActivity INFO main MyActivity.java 53 com.example.ApLogback.MyActivity$1 onClick logger track
How should I construct a grok regex/pattern string, so that it splits the previous sample text like in the following parts:
{
timestamp:2014-06-17 04:37:30,317
logger:c.e.A.MyActivity
level:info
caller_thread:main
caller_method:MyActivity.java
caller_line:53
caller_class:com.example.ApLogback.MyActivity$1
caller_method: onClick
msg: caller track
}
My current regex is:
(?<timestamp>[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2},[0-9]{3}) (?<logger>.*)
but it only splits the begining of the log string in parts. An example result of my current grok string is:
{
"timestamp": [
[
"2014-06-17 04:37:30,317"
]
],
"logger": [
[
"c.e.A.MyActivity INFO main MyActivity.java 53 com.example.ApLogback.MyActivity$1 onClick logger"
]
]
}
Grok comes with many already-defined patterns that will cover most of your needs, check them out at: Grok Debugger/patterns
As for a concrete answer to your question, here is a quick an dirty example that does what you need. It is just an example of how you can go about using already defined grok patterns to build your own pattern.
(?<timestamp>[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2},[0-9]{3}) (?:%{JAVACLASS:logger}) (?:%{LOGLEVEL:level}) (?:%{WORD:caller_thread}) (?:%{JAVACLASS:caller_file}) (?:%{NONNEGINT:caller_line}) (?:%{JAVACLASS:caller_class}) (?:%{WORD:caller_method}) (?:%{GREEDYDATA:msg})
Related
I'm trying to build a new ELK project. I'm a newbie here so not sure what I'm missing. I'm trying to move very huge logs to ELK and while doing so, its timing out in KV filter with the error "Timeout reached in KV filter with value entry too large".
My logstash is in the below format:
grok {
match => [ "message", "(?<timestamp>%{MONTHDAY:monthday} %{MONTH:month} %{YEAR:year} % {TIME:time} \[%{LOGLEVEL:loglevel}\] %{DATA:requestId} \(%{DATA:thread}\) %{JAVAFILE:className}: %{GREEDYDATA:logMessage}" ]
}
kv {
source => logMessage"
}
Is there a way, i can skip execution to go through kv filter when the logs are huge? If so, can someone guide me on how that can be done.
Thank you
I have tried multiple things but nothing seemed to work.
I solved this by using dissect.
The query was something along the lines of:
dissect{
mapping => { "message" => "%{[#metadata][timestamp] %{[#metadata][timestamp] %{[#metadata][timestamp] %{[#metadata][timestamp] %{loglevel} %{requestId} %{thread} %{classname} %{logMessage}"
}
So I have this very simple pipeline:
input { ... }
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601} %{LOGLEVEL:level} (?<logmessage>.*)" ]
add_tag => [ "java" ]
}
}
output { ... }
I'd like to tag matching messages as "java", and the grok pattern is there to extract the loglevel in case of Java messages and to get rid of the timestamp.
However, it only recognizes DEBUG logs, nothing else, without exception. So this log is correctly parsed and tagged when viewed on Kibana:
2021-07-07 12:34:56.789 DEBUG 1 --- [ scheduling-1] blah blah
but this one is not:
2021-07-07 12:34:56.789 INFO 1 --- [ scheduling-1] blah blah
Kibana's grok debugger works for the pattern in both cases.
Already tried some more or less complicated grok patterns to match the message better. Also tried to define the log level as WORD type. It puzzles me beyond imagination.
I did copy these out of Kibana with very minimal changes, but the commenters were on the right track. I should have looked for them in the originating apps, not on Kibana, since at a certain step, the extra whitespaces were trimmed from the log messages.
So what can be seen in the question was initially printed with some padding:
2021-07-07 12:34:56.789 DEBUG 1 --- [ asd-1] blah blah
2021-07-07 12:34:56.789 INFO 1 --- [ scheduling-1] blah blah
For future reference, I circumvented the problem by replacing the literal whitespaces in the pattern with a selector that matches any number of them:
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601}%{SPACE}%{LOGLEVEL:level}%{SPACE}(?<logmessage>.*)" ]
}
}
I have the following log:
2018-10-30 11:47:52 INFO 30464 SMS-MT [cid:300038] [queue-msgid:bb7a195d-fb23-42ae-bbfa-d2dcda405af9] [smpp-msgid:j.11082.639364178944.#MARKET SETU] [status:ESME_ROK] [prio:1] [dlr:NO_SMSC_DELIVERY_RECEIPT_REQUESTED] [validity:none] [from:2323232] [to:23232132312] [content:'#MARKET SETUP\nadsadadadadasdasdadaasdada mo ang:\nC jean_rivera\n--Mag reply ng A-C']
I've created a grok filter based on pattern in logstash so I can parse the log the way I want. And I have this:
%{DATESTAMP:Timestamp} %{LOGLEVEL:Level} %{BASE10NUM:Pid} %{USERNAME:SMS_TYPE} %{CID:CID} %{GREEDYDATA:Message}
I'm trying to create a GROK patter that will match 300038, which is the number coming after cid:. The syntax is always the same, [cid:number]. What I have now is:
CID (\[cid:[0-9]{6}\])
but that results into:
"CID": [
[
"[cid:300038]"
]
],
and I only want to match the 300038, without the [cid:] part
I have noticed that there are more than single space character between LOG and pid, you can match all of them using \s*.
To match just a number from [cid:300038] you can use custom pattern, \[cid:(?<CID>[0-9]{1,})\] this will match cid of any length, not just 6 digits.
Your pattern will become,
%{DATESTAMP:Timestamp} %{LOGLEVEL:Level}\s*%{BASE10NUM:Pid} %{USERNAME:SMS_TYPE} \[cid:(?<CID>[0-9]{1,})\] %{GREEDYDATA:Message}
Use
%{DATESTAMP:Timestamp} %{LOGLEVEL:Level} %{BASE10NUM:Pid} %{USERNAME:SMS_TYPE} \[cid:(?<CID>[0-9]{6})\] %{GREEDYDATA:Message}
I have a filter that looks like so:
multiline {
pattern => "(^.+Exception.*)|(^\tat .+)"
negate => false
what => "previous"
}
But for some reason, it's not attaching to the previous line for lines with ^\tat. Sometimes it does, but most of the time it doesn't. It attaches to the line way far back. I don't see anything wrong with my code.
Does anyone know if this is a bug?
Edit: This worked properly just now but couple minutes after it doesn't work again. Is it a buffer overflow? How would I debug this?
Edit: Example of success:
2014-06-20 09:09:07,989 http-bio-8080-exec-629 WARN com.rubiconproject.rfm.adserver.filter.impl.PriorityFilter - Request : NBA_DIV=Zedge_Tier1_App_MPBTAG_320x50_ROS_Android&NBA_APPID=4E51A330AD7A0131112022000A93D4E6&NBA_PUBID=111657&NBA_LOCATION_LAT=&NBA_LOCATION_LNG=&NBA_KV=device_id_sha-1_key=5040e46d15bd2f37b3ba58860cc94c1308c0ca4b&_v=2_0_0&id=84472439740784460, Response : Unable to Score Ads.. Selecting first one and Continuing...
java.lang.IndexOutOfBoundsException: Index: 8, Size: 1
at java.util.ArrayList.rangeCheck(ArrayList.java:604)
at java.util.ArrayList.get(ArrayList.java:382)
Edit: Example of failure:
2014-06-20 09:02:31,139 http-bio-8080-exec-579 WARN com.rubiconproject.rfm.adserver.web.AdRequestController - Request : car=vodafone UK&con=0&model=iPhone&bdl=com.racingpost.general&sup=adm,dfp,iAd&id=8226846&mak=Apple&sze=320x50&TYP=1&rtyp=json&app=F99D88D0FDEC01300BF5123139244773&clt=MBS_iOS_SDK_2.4.0&dpr=2.000000&apver=10.4&osver=7.1&udid=115FC62F-D4FF-44E0-8D92-5A060043EFDD&pub=111407&tud=3&osn=iPhone OS&, Response : No Ad Selected to Serve..Exiting
at java.util.ArrayList.get(ArrayList.java:382)
My file has 13000+ lines, and when it errors, it attaches to couple hundred lines back. But strangely each attaches to a line with the exact same offset in between (by offset I mean those couple hundred lines that it skips).
Your logs is java stack logs.
You can try to use this pattern. Use the date as the pattern, which is the beginning of each log.
input {
stdin{}
}
filter {
multiline {
pattern => "^(?>\d\d){1,2}-(?:0?[1-9]|1[0-2])-(?:(?:0[1-9])|(?:[12][0-9])|(?:3[01])|[1-9])"
what => "previous"
}
}
output {
stdout {
codec => "rubydebug"
}
}
This pattern parses the date, if the line do not start with date, logstash will multiline it.
I have try it with your logs, it's worked on both two logs.
Hope this can help you.
I am using logstash, elasticsearch and kibana to analyze my logs.
I am alerting via email when a particular string comes into the log via email output in logstash:
email {
match => [ "Session Detected", "logline,*Session closed*" ]
...........................
}
This works fine.
Now, I want to alert on the count of a field (when a threshold is crossed):
Eg If user is field, I want to alert when number of unique users go more than 5.
Can this be done via email output in logstash??
Please help.
EDIT:
As #Alcanzar told I did this:
config file:
if [server] == "Server2" and [logtype] == "ABClog" {
grok{
match => ["message", "%{TIMESTAMP_ISO8601:timestamp} %{HOSTNAME:server-name} abc\[%{INT:id}\]:
\(%{USERNAME:user}\) CMD \(%{GREEDYDATA:command}\)"]
}
metrics {
meter => ["%{user}"]
add_tag => "metric"
}
}
So according to above, for server2 and abclog I have a grok pattern for parsing my file and on the user field parsed by grok I want the metric applied.
I did that in the config file as above, but I get strange behaviour when I check logstash console with -vv.
So if there are 9 log lines in the file it parses the 9 first, after that it starts metric part but there the message field is not the logline in the log file but it's the user-name of my PC, thus it gives _grokparsefailure. Something like this:
output received {
:event=>{"#version"=>"1", "#timestamp"=>"2014-06-17T10:21:06.980Z", "message"=>"my-pc-name",
"root.count"=>2, "root.rate_1m"=>0.0, "root.rate_5m"=>0.0, "root.rate_15m"=>0.0,
"abc.count"=>2, "abc.rate_1m"=>0.0, "abc.rate_5m"=>0.0, "abc.rate_15m"=>0.0, "tags"=>["metric",
"_grokparsefailure"]}, :level=>:debug, :file=>"(eval)", :line=>"137"
}
Any help is appreciated.
I believe what you need is http://logstash.net/docs/1.4.1/filters/metrics.
You'd want to use a metrics tag to calculate the rate of your event, and then use the thing.rate_1m or thing.rate_5m in an if statement around your email output.
For example:
filter {
if [message] =~ /whatever_message_you_want/ {
metrics {
meter => "user"
add_tag => "metric"
}
}
}
output {
if "metric" in [tags] and [user.rate_1m] > 1 {
email { ... }
}
}
Aggregating on the logstash side is fairly limited. It also increases the state size thus memory consumption may grow. Alerts that run on the Elasticsearch layer offer more freedom and possibilities.
Logz.io alerts on top of ELK are offered in the below blog: http://logz.io/blog/introducing-alerts-for-elk/