I am having trouble using if statements along with a grok filter in order to filter my log data.
Example of my code:
.conf FILE
input {
stdin { }
}
filter {
grok {
patterns_dir => ["./patterns"]
match => {"message" => "%{API_CALL}"}
}
if "_grokparsefailure" not in [tags] {
grok {
add_tag => ["External API call"]
}
}
}
output {
stdout { codec => rubydebug }
}
custom patterns
API_CALL called
If I run this configuration and give an input string of called then I will get a grokparsefailure. But if I get rid of the if statement block and run it again, I will have a successful match.
All help is appreciated.
Related
i have an issue using logstash mutate filter gsub.
Required
Remove "ZC" characters of a field and coverting it into float
{
"field" => "12.343,40ZC",
"#timestamp" => 2020-01-06T23:00:00.000Z
}
Expected output
{
"field" => "-12343,40",
"#timestamp" => 2020-01-06T23:00:00.000Z
}
Code not working
filter{
if "ZC" in "field" {
mutate { gsub => ["field","ZC",""] }
}
}
Code working
filter{
mutate { gsub => ["field","ZC",""] }
}
I need the "if" statement because depends if the two characters exist inside the field to make a positive or negative float.
Your conditional is wrong, if you use "field" logstash understands that as a string with the value field, the correct way is to use the format [field].
Change your conditional to the following.
filter {
if "ZC" in [field] {
mutate { gsub => ["field","ZC",""] }
}
}
I have the following in my filter, for some reason it only prints email and not delivery_status. But when I comment out the email it then prints the delivery _status.
Is there a way to print them both without commenting either of them out?
filter {
grok {
patterns_dir => ["/etc/logstash/patterns/postfix"]
match => { "message" => "%{EMAIL}" }
match => { "message" => "%{DELIVERY_STATUS}" }
overwrite => [ "message" ]
}
}
Your help would be appreciated.
By default the grok filter finishes on the first successful match. If you want to overwrite this behaviour, add this line:
break_on_match => false
For further reference check out the grok filter docs here.
In my Logstash I have below configuration:
filter {
mutate {
add_field => {
"doclength" => "%{size}"
}
convert => {"doclength" => "integer"}
remove_field => ["size"]
}
}
I intend to store the field "doclength" into ElasticSearch as an integer. But somehow in ES, it shows mapping as "string" only.
Not sure what I am missing in here, the expected behavior is not matching up with the actual one.
Try this one, it worked on my machine.
filter {
mutate {
convert => {"size" => "integer"}
rename => { "size" => "doclength" }
}
}
I have a file named "Job Code.txt"
job_id=0001,description=Ship data from server to elknode1,result=OK
job_id=0002,description=Ship data from server to elknode2,result=Error: Msg...
job_id=0003,description=Ship data from server to elknode3,result=OK
job_id=0004,description=Ship data from server to elknode4,result=OK
Here is the filter part of my .conf file but it doesn't work. How can I created new field, i.e. jobID, description, result as to be seen in kibana
filter{
grok{ match => {"message" => ["JobID: %{NOTSPACE:job_id}","description: %{NOTSPACE:description}","result: %{NOTSPACE:message}"]}
add_field => {
"JobID" => "%{job_id}"
"Description" => "%{description}"
"Message" => "%{message}"
}
}
if [job_id] == "0001" {
aggregate {
task_id => "%{job_id}"
code => "map['time_elasped']=0"
map_action => "create"
}
}
if [job_id] == "0003" {
aggregate {
task_id => "%{job_id}"
code => "map['time_elasped']=0"
map_action => "update"
}
}
if [job_id] == "0002" {
aggregate {
task_id => "%{job_id}"
code => "map['time_elasped']=0"
map_action => "update"
}
}
I know this is a couple days old, perhaps you still require an answer. Change your grok statement to:
grok {
match => { "message" => "job_id=%{DATA:job_id},description=%{DATA:description},result=%{GREEDYDATA:message}" }
}
You won't need the add_field option, grok will create them for you. The add_field option is to add arbitrary fields. Check the pattern at https://grokdebug.herokuapp.com
Also, unless there are other messages you want to match, I don't think the aggregate statements you have will do what you want.
My input has timestamp in the format of Apr20 14:59:41248 Dataxyz.
Now in my output i need the timestamp in the below format:
**Day Month Monthday Hour:Minute:Second Year DataXYZ **. I was able to remove the timestamp from the input. But I am not quite sure how to add the new timestamp.
I matched the message using grok while receiving the input:
match => ["message","%{WORD:word} %{TIME:time} %{GREEDYDATA:content}"]
I tried using mutate add_field.but was not successful in adding the value of the DAY. add_field => [ "timestamp","%{DAY}"].I got the output as the word ´DAY´ and not the value of DAY. Can someone please throw some light on what is being missed.
You need to grok it out into the individual named fields, and then you can reference those fields in add_field.
So your grok would start like this:
%{MONTH:month}%{MONTHDAY:mday}
And then you can put them back together like this:
mutate {
add_field => {
"newField" => "%{mday} %{month}"
}
}
You can check with my answer, I think this very helpful to you.
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:time} \[%{NUMBER:thread}\] %{LOGLEVEL:loglevel} %{JAVACLASS:class} - %{GREEDYDATA:msg}" }
}
if "Exception" in [msg] {
mutate {
add_field => { "msg_error" => "%{msg}" }
}
}
You can use custom grok patterns to extract/rename fields.
You can extract other fields similarly and rearrange/play arounnd with them in mutate filter. Refer to Custom Patterns for more information.