For some unavoidable reason, a field "program" in my logstash pipeline contains a value like "date=2023.14.02". I want to rename the value of this field to "kernel". The problem is, the name is variable in nature as a date will be passed to the field every passing day.
I have tried something like this :
if [program]=~/^date.*/ {
filter {
mutate {
rename => {/^date.*/ => "kernel"}
}
}
I tried rename => {"date.*" => "kernel"}, rename => {^date.* => "kernel"} etc.. But it does not work. Is there a correct syntax for the same?
If you want to replace the value of the [program] field with kernel then use mutate { gsub => [ "program", "^date.*", "kernel" ] }.
I need to ingest following format json evens
{
"test1": {some nested json here},
"test2": {some nested json here},
"test3": {some nested json here},
"test4": {some nested json here}
}
I have 3 problems:
When i make split
json {
source => "message"
}
split {
field => "[message][test1]"
target => "test1"
add_tag => ["test1"]
}
This tag didn't appear anywhere (i want to use it later in output
Second one is with output:
Now i can ingest with:
tcp {
codec => line { format => "%{test1}" }
host => "127.0.0.1"
port => 7515
id => "TCP-SPLUNK-test1"
}
I can do same for all split items, but i guess there is more clever way to do it.
Last one is question related to identifying events, like
if format is { "test1":{},"test2":{},"test3":{},"test4":{} } then do something, else do something different
I guess this should be done with grok, but I'll play whit that after manage to fix first 2 issues.
I have a pattern of logs that contain performance&statistical data. I have configured LogStash to dissect this data as csv format in order to save the values to ES.
<1>,www1,3,BISTATS,SCAN,330,712.6,2035,17.3,221.4,656.3
I am using the following LogSTash filter and getting the desired results..
grok {
match => { "Message" => "\A<%{POSINT:priority}>,%{DATA:pan_host},%{DATA:pan_serial_number},%{DATA:pan_type},%{GREEDYDATA:message}\z" }
overwrite => [ "Message" ]
}
csv {
separator => ","
columns => ["pan_scan","pf01","pf02","pf03","kk04","uy05","xd06"]
}
This is currently working well for me as long as the order of the columns doesn't get messed up.
However I want to make this logfile more meaningful and have each column-name in the original log. example-- <1>,www1,30000,BISTATS,SCAN,pf01=330,pf02=712.6,pf03=2035,kk04=17.3,uy05=221.4,xd06=656.3
This way I can keep inserting or appending key/values in the middle of the process without corrupting the data. (Using LogStash5.3)
By using #baudsp recommendations, I was able to formulate the following. I deleted the csv{} block completely and replace it with the kv{} block. The kv{} automatically created all the key values leaving me to only mutate{} the fields into floats and integers.
json {
source => "message"
remove_field => [ "message", "headers" ]
}
date {
match => [ "timestamp", "YYYY-MM-dd'T'HH:mm:ss.SSS'Z'" ]
target => "timestamp"
}
grok {
match => { "Message" => "\A<%{POSINT:priority}>,%{DATA:pan_host},%{DATA:pan_serial_number},%{DATA:pan_type},%{GREEDYDATA:message}\z" }
overwrite => [ "Message" ]
}
kv {
allow_duplicate_values => false
field_split_pattern => ","
}
Using the above block, I was able to insert the K=V, pairs anywhere in the message. Thanks again for all the help. I have added a sample code block for anyone trying to accomplish this task.
Note: I am using NLog for logging, which produces JSON outputs. From the C# code, the format looks like this.
var logger = NLog.LogManager.GetCurrentClassLogger();
logger.ExtendedInfo("<1>,www1,30000,BISTATS,SCAN,pf01=330,pf02=712.6,pf03=2035,kk04=17.3,uy05=221.4,xd06=656.3");
This question already has an answer here:
Eliminate the top-level field in Logstash
(1 answer)
Closed 5 years ago.
I'm using an http_poller to hit an API endpoint for some info I want to index with elasticsearch. The result is in JSON and is a list of records, looking like this:
{
"result": [
{...},
{...},
...
]
}
Each result object in the array is what I really want to turn into an event that gets indexed in ElasticSearch, so I tried using the split filter to turn the object into a series of events instead. It worked reasonably well, but now I have a series of events that look like this:
{
result: { ... }
}
My current filter looks like this:
filter {
if [type] == "history" {
split {
field => "result"
}
}
}
Each of those result objects has about 20 fields, most of which I want, so while I know I can transform them by doing something along the lines of
filter {
if [type] == "history" {
split {
field => "result"
}
mutate {
add_field => { "field1" => "%{[result][field1]}"
#... x15-20 more fields
remove_field => "result"
}
}
}
But with so many fields I was hoping there's a one-liner to just copy all the fields of the 'result' value up to be the event.
This can be done with a ruby filter like this:
ruby {
code => '
if (event.get("result"))
event.get("result").each { |k,v|
event.set(k,v);
}
event.remove("result");
end
'
}
I don't know of any way to do this with any of the built in/publicly available filters.
I am trying to join two field in logstash during filter, data is fetched from database, one field type is long type (issue_num) and other is string type(project_key) .
I am using following filter.
filter {
mutate {
add_field => { "IssueLink" => "%{project_key}-%{issue_num}" }
}
}
"project_key":"DOCS"
"issue_num":667
Actual Output
"IssueLink":"DOCS-0.667E3"
Expected Output "IssueLink":"DOCS-667"
why the output is not expected ? What's the problem here ?