I have logs in new line separated JSON like following
{
"httpRequest": {
"requestMethod": "GET",
"requestUrl": "/foo/submit?proj=56"
}
}
Now I need the url without the dynamic parts in the i.e. 1st resource (someTenant) and the query parameters to be added as a field in elasticsearch ie. the expected normalised url is
"requestUrl": "/{{someTenant}}/submit?{{someParams}}"
I already have the following filter in logstash config but not sure how to do sequence of regex operation on a specific field and add it as a new one.
json{
source => "message"
}
This way I could aggregate the unique endpoints although the urls are different in logs due to variable path params and query params.
Since this question tagged with grok, i will go ahead and assume you can use grok filters.
use grok filter and create a new field from requestUrl field, you can then use URIPATHPARAM grok pattern to separate various components from requestUrl as follows,
grok {
match => {"requestUrl" => "%{URIPATHPARAM:request_data}"}
}
this will produce following output,
{
"request_data": [
[
"/foo/submit?proj=56"
]
],
"URIPATH": [
[
"/foo/submit"
]
],
"URIPARAM": [
[
"?proj=56"
]
]
}
Can be tested on Grok Online Debugger
thanks
Related
When I use http input plugin, Logstash adds the following fields to Elasticsearch:
headers.http_accept
headers.content_type
headers.request_path
headers.http_version
headers.request_method
...
How can I remove all these fields starting with headers.?
Since these are all pathed, that means they all are hierarchical under [headers] as far as the logstash configs go. This will probably do wonders for you:
filter {
mutate {
remove_field => [ "headers" ]
}
}
Which should drop the [headers][http_accept], [headers][content_type] and so on fields.
I am using logstash to get data from a sql database. There is a field called "code" in which the content has
this structure:
PO0000001209
ST0000000909
And what I would like to do is to remove the 6 zeros after the letters to get the following result:
PO1209
ST0909
I will put the result in another field called "code_short" and use it for my query in elasticsearch. I have configured the input
and the output in logstash but I am not sure how to do it using grok or maybe mutate filter
I have read some examples but I am quite new on this and I am a bit stuck.
Any help would be appreciated. Thanks.
You could use a mutate/gsub filter for this but that will replace the value of the code field:
filter {
mutate {
gsub => [
"code", "000000", "",
]
}
}
Another option is to use a grok filter like this:
filter {
grok {
match => { "code" => "(?<prefix>[a-zA-Z]+)000000%{INT:suffix}" }
add_field => { "code_short" => "%{prefix}%{suffix}"}
}
}
I have a bunch of log files that are named as 'XXXXXX_XX_yymmdd_hh:mm:ss.txt' - I need to include the date and time (separate fields) from the filename in fields that are added to Logstash.
Can anyone help?
Thanks
Use a grok filter to extract the date and time:
filter {
grok {
match => [
"path",
"^%{GREEDYDATA}/[^/]+_%{INT:date}_%{TIME:time}\.txt$"
]
}
}
Depending on what goes instead of XXXXXX_XX you might prefer a stricter expression. Also, GREEDYDATA isn't very efficient. This might yield better performance:
filter {
grok {
match => [
"path", "^(?:/[^/]+)+/[^/]+_%{INT:date}_%{TIME:time}\.txt$"
]
}
}
I am wondering what the best approach to take with my Logstash Grok filters. I have some filters that are for specific log entries, and won't apply to all entries. The ones that don't apply always generate _grokparsefailure tags. For example, I have one grok filter that's for every log entry and it works fine. Then I have another filter that's for error messages with tracebacks. The traceback filter throws a grokparsefailure for every single log entry that doesn't have a traceback.
I'd prefer to have it just pass the rule if there isn't a match instead of adding the parsefailure tag. I use the parsefailure tag to find things that aren't parsing properly, not things that simply didn't match a particular filter. Maybe it's just the nomenclature "parse failure" that gets me. To me that means there's something wrong with the filter (e.g. badly formatted), not that it didn't match.
So the question is, how should I handle this?
Make the filter pattern optional using ?
(ab)use the tag_on_failure option by setting it to nothing []
make the filter conditional using something like "if traceback in message"
something else I'm not considering?
Thanks in advance.
EDIT
I took the path of adding a conditional around the filter:
if [message] =~ /took\s\d+/ {
grok {
patterns_dir => "/etc/logstash/patterns"
match => ["message", "took\s+(?<servicetime>[\d\.]+)"]
add_tag => [ "stats", "servicetime" ]
}
}
Still interested in feedback though. What is considered "best practice" here?
When possible, I'd go with a conditional wrapper just like the one you're using. Feel free to post that as an answer!
If your application produces only a few different line formats, you can use multiple match patterns with the grok filter. By default, the filter will process up to the first successful match:
grok {
patterns_dir => "./patterns"
match => {
"message" => [
"%{BASE_PATTERN} %{EXTRA_PATTERN}",
"%{BASE_PATTERN}",
"%{SOME_OTHER_PATTERN}"
]
}
}
If your logic is less straightforward (maybe you need to check the same condition more than once), the grep filter can be useful to add a tag. Something like this:
grep {
drop => false #grep normally drops non-matching events
match => ["message", "/took\s\d+/"]
add_tag => "has_traceback"
}
...
if "has_traceback" in [tags] {
...
}
You can also add tag_on_failure => [] to your grok stanza like so:
grok {
match => ["context", "\"tags\":\[%{DATA:apptags}\]"]
tag_on_failure => [ ]
}
grok will still fail, but will do so without adding to the tags array.
This is the most efficient way of doing this. Ignore the filter
filter {
grok {
match => [ "message", "something"]
}
if "_grokparsefailure" in [tags] {
drop { }
}
}
You can also do this
remove_tag => [ "_grokparsefailure" ]
whenever you have a match.
Summary:
I am using Logstash - Grok and elastic search and my main aim is to First accept the logs by logstash, parse them by grok and associate tags with the messages depending on the type of the log, and then finally feed it to the Elastic server to query with Kibana.
I have already written this code but am not able to get the tags in Elastic Search.
This is my logstash confif file.
input {
stdin {
type => "stdin-type"
}
}
filter {
grok {
tags => "mytags"
pattern => "I am a %{USERNAME}"
add_tag => "mytag"
named_captures_only => true
}
}
output {
stdout { debug => true debug_format => "json"}
elasticsearch {}
}
Where am I going wrong?
1) I would first start with editing your values to match the data type they represent. For example
add_tag => "mytag"
actually should have an array as it's value, not a simple string. Change that to
add_tag => ["mytag"]
as a good start. Double check all your values and verify they are of the correct type for logstash.
2) You are limiting your grok filters to messages that are already tagged with "mytags" based on the config line
tags => "mytags"
I don't see anywhere where you have added that tag ahead of time. Therefore, none of your messages will even go through your grok filter.
3) Please read the logstash docs carefully. I am rather new to the Logstash/Grok/ES/Kibana etc. world as well, but I have had very similar problems to what you have had, and all of them were solved by paying attention to what the documentation says.
You can run LogStash by hand (You may already be doing this) with /opt/logstash/bin/logstash -f $CONFIG_FILE and can check that your config file is valid with /opt/logstash/bin/logstash -f $CONFIG_FILE --configtest I bet you're already doing that though.
You may need to put your add_tag stanza into an array
grok {
...
add_tag => [ "mytag" ]
}
It could also be that what you're piping into STDIN isn't being matched in the grok pattern. If grok doesn't match is should result in _grokparsefailure being added to your tags. If you see those, it means your grok pattern isn't firing.
A better way to do this may be...
input {
stdin {
type => 'stdin'
}
}
filter {
if [type] = 'stdin' {
mutate {
add_tag => [ "mytag" ]
}
}
}
output {
stdout {
codec => 'rubydebug'
}
}
This will add a "mytag" tag to all things coming from standard in, wether they're groked or not.