I am trying to remove dots which are there in the input file from getting copied to output file. Can some one please help me on that
Input file : _ABC ........ null
Expected output : _ABC null
If you're using grok{}, you'd need to escape them in your pattern: "\.".
If you just want to get rid of a series of periods, mutate->gsub can do it:
filter {
mutate {
gsub => [ "message", "\.+", "" ]
}
}
Related
I have multiline custom logs which I am processing as a single line by the filebeat multiline keyword. Now this includes \n at the end of each line. This however causes grok parse failure in my logstsash config file. Can someone help me on this. Here is how all of them look like:
Please help me with the grok filter for the following line:
11/18/2016 3:05:50 AM : \nError thrown is:\nEmpty
Queue\n*************************************************************************\nRequest sent
is:\nhpi_hho_de,2015423181057,e06106f64e5c40b4b72592196a7a45cd\n*************************************************************************\nResponse received is:\nQSS RMS Holds Hashtable is
empty\n*************************************************************************
As #Mohsen suggested you might have to use the gsub filter in order to replace all the new line characters in your log line.
filter {
mutate {
gsub => [
# replace all forward slashes with underscore
"fieldname", "\n", ""
]
}
}
Maybe you could also do the above within an if condition, to make sure that there's no any grokparse failure.
if "_grokparsefailure" in [tags] or "_dateparsefailure" in [tags] {
drop { }
}else{
mutate {
gsub => [
# replace all forward slashes with underscore
"fieldname", "\n", ""
]
}
}
Hope this helps!
you can find your answer here:
https://www.elastic.co/guide/en/logstash/current/plugins-filters-mutate.html
you should use Mutate block to replace all "\n" with ""(empty string).
or use this
%{DATESTAMP} %{WORD:time} %{GREEDYDATA}
I am using Logstash to parse a log file. A sample log line is shown below.
2011/08/10 09:51:34.450457,1.048908,tcp,213.200.244.217,47908, ->,147.32.84.59,6881,S_RA,0,0,4,244,124,flow=Background-Established-cmpgw-CVUT
I am using following filter in my confguration file.
grok {
match => ["message","%{DATESTAMP:timestamp},%{BASE16FLOAT:value},%{WORD:protocol},%{IP:ip},%{NUMBER:port},%{GREEDYDATA:direction},%{IP:ip2},%{NUMBER:port2},%{WORD:status},%{NUMBER:port3},%{NUMBER:port4},%{NUMBER:port5},%{NUMBER:port6},%{NUMBER:port7},%{WORD:flow}" ]
}
It works well for error-free log lines. But when I have a line like below, it fails. Note that the second field is missing.
2011/08/10 09:51:34.450457,,tcp,213.200.244.217,47908, ->,147.32.84.59,6881,S_RA,0,0,4,244,124,flow=Background-Established-cmpgw-CVUT
I want to put a default value in there in my output Json object, if a value is missing. how can I do that?
Use (%{BASE16FLOAT:value})? for second field to make it optional - ie. regex ()? .
Even if the second field is null the grok will work.
So entire grok look like this:
%{DATESTAMP:timestamp},(%{BASE16FLOAT:value})?,%{WORD:protocol},%{IP:ip},%{NUMBER:port},%{GREEDYDATA:direction},%{IP:ip2},%{NUMBER:port2},%{WORD:status},%{NUMBER:port3},%{NUMBER:port4},%{NUMBER:port5},%{NUMBER:port6},%{NUMBER:port7},%{WORD:flow}
Use it in your conf file. Now, if value field is empty it will omit it in response.
input {
stdin{
}
}
filter {
grok {
match => ["message","%{DATESTAMP:timestamp},%{DATA:value},%{WORD:protocol},%{IP:ip},%{NUMBER:port},%{GREEDYDATA:direction},%{IP:ip2},%{NUMBER:port2},%{WORD:status},%{NUMBER:port3},%{NUMBER:port4},%{NUMBER:port5},%{NUMBER:port6},%{NUMBER:port7},%{WORD:flow}" ]
}
}
output {
stdout {
codec => rubydebug
}
}
I am trying to adjust path name so that it no longer has the time stamp attached to the end. I am input many different logs so it would be impractical to write a conditional filter for every possible log. If possible I would just like to trim the last nine characters of the value.
For example "random.log-20140827" would become "random.log".
mutate {
gsub => [
"path", "-\d{8}$", ""
]
}
So if you know it's always going to be random.log-something --
if [path] =~ /random.log/ {
mutate {
replace => ["path", "random.log"]
}
}
If you want to "fix" anything that has a date in it:
if [path] =~ /-\d\d\d\d\d\d\d\d/ {
grok {
match => [ "path", "^(?<pathPrefix>[^-]+)-" ]
}
mutate {
replace => ["path", "%{pathPrefix}"]
remove_field => "pathPrefix"
}
}
Of the two, the first is going to be less compute intensive.
I haven't tested either of these, but they should work.
New to logstash. I am trying to parse application log lines such as:
2014-11-05 16:59:36,779 ERROR DOMAINNAME\bob [This is an error. ]
My config file looks like this:
input {
file {
path => "C:/tmp/*.log"
}
}
filter {
grok {
match => [
"message", "%{TIMESTAMP_ISO8601:timestamp}\s*%{LOGLEVEL:level}\s*%{DATA:userAlias}\s*%{GREEDYDATA:message}"
]
overwrite => [ "message" ]
}
if [level] =~ "INFO" {
drop {
}
}
}
output {
elasticsearch {
host => "localhost"
protocol => "http"
}
}
The timestamp and level are parsed out fine, but the message displays in Kibana as:
message:
DOMAINNAME\bob [This is an error. ]
The grok pattern for DATA is .*?
so I would assume that it should handle the backslash \ and properly set
userAlias to DOMAINNAME\bob and
message to [This is an error. ]
But this isn't the case. What am I doing wrong here? Thanks.
The problem with your grok pattern is that .*? is non-greedy (i.e. optional) and .* is greedy, so the latter "takes over" the string that could have been matched by the preceding .*? pattern.
I suggest you avoid the DATA and GREEDYDATA patterns except for matching the remainder of the string (like your use of GREEDYDATA here). In this case you could e.g. use the NOTSPACE pattern to match the username. You could use an even more specific pattern that e.g. excludes characters that are invalid in usernames, but I don't see the point of that. This works:
"%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:level}\s+%{NOTSPACE:userAlias}\s+%{GREEDYDATA:message}"
(I also took the liberty of replacing \s* with \s+ since the whitespace between the fields isn't optional.)
I've got log lines in the following format and want to extract fields:
[field1: content1] [field2: content2] [field3: content3] ...
I neither know the field names, nor the number of fields.
I tried it with backreferences and the sprintf format but got no results:
match => [ "message", "(?:\[(\w+): %{DATA:\k<-1>}\])+" ] # not working
match => [ "message", "(?:\[%{WORD:fieldname}: %{DATA:%{fieldname}}\])+" ] # not working
This seems to work for only one field but not more:
match => [ "message", "(?:\[%{WORD:field}: %{DATA:content}\] ?)+" ]
add_field => { "%{field}" => "%{content}" }
The kv filter is also not appropriate because the content of the fields may contain whitespaces.
Is there any plugin / strategy to fix this problem?
Logstash Ruby Plugin can help you. :)
Here is the configuration:
input {
stdin {}
}
filter {
ruby {
code => "
fieldArray = event['message'].split('] [')
for field in fieldArray
field = field.delete '['
field = field.delete ']'
result = field.split(': ')
event[result[0]] = result[1]
end
"
}
}
output {
stdout {
codec => rubydebug
}
}
With your logs:
[field1: content1] [field2: content2] [field3: content3]
This is the output:
{
"message" => "[field1: content1] [field2: content2] [field3: content3]",
"#version" => "1",
"#timestamp" => "2014-07-07T08:49:28.543Z",
"host" => "abc",
"field1" => "content1",
"field2" => "content2",
"field3" => "content3"
}
I have try with 4 fields, it also works.
Please note that the event in the ruby code is logstash event. You can use it to get all your event field such as message, #timestamp etc.
Enjoy it!!!
I found another way using regex:
ruby {
code => "
fields = event['message'].scan(/(?<=\[)\w+: .*?(?=\](?: |$))/)
for field in fields
field = field.split(': ')
event[field[0]] = field[1]
end
"
}
I know that this is an old post, but I just came across it today, so I thought I'd offer an alternate method. Please note that, as a rule, I would almost always use a ruby filter, as suggested in either of the two previous answers. However, I thought I would offer this as an alternative.
If there is a fixed number of fields or a maximum number of fields (i.e., there may be fewer than three fields, but there will never be more than three fields), this can be done with a combination of grok and mutate filters, as well.
# Test message is: `[fieldname: value]`
# Store values in [#metadata] so we don't have to explicitly delete them.
grok {
match => {
"[message]" => [
"\[%{DATA:[#metadata][_field_name_01]}:\s+%{DATA:[#metadata][_field_value_01]}\]( \[%{DATA:[#metadata][_field_name_02]}:\s+%{DATA:[#metadata][_field_value_02]}\])?( \[%{DATA:[#metadata][_field_name_03]}:\s+%{DATA:[#metadata][_field_value_03]}\])?"
]
}
}
# Rename the fieldname, value combinations. I.e., if the following data is in the message:
#
# [foo: bar]
#
# It will be saved in the elasticsearch output as:
#
# {"foo":"bar"}
#
mutate {
rename => {
"[#metadata][_field_value_01]" => "[%{[#metadata][_field_name_01]}]"
"[#metadata][_field_value_02]" => "[%{[#metadata][_field_name_02]}]"
"[#metadata][_field_value_03]" => "[%{[#metadata][_field_name_03]}]"
}
tag_on_failure => []
}
For those who may not be as familiar with regex, the captures in ()? are optional regex matches, meaning that if there is no match, the expression won't fail. The tag_on_failure => [] option in the mutate filter ensures that no error will be appended to tags if one of the renames fails because there was no data to capture and, as a result, there is no field to rename.