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}
Related
I´m trying to extract the number of ms in this logline
20190726160424 [INFO]
[concurrent/forasdfMES-managedThreadFactory-Thread-10] -
Metricsdceptor: ## End of call: Historirrtory.getHistrrOrder took 2979
ms
The problem is, that not all loglines contain that string
Now I want to extract it optionally into a duration field. I tried this, but nothing happend .... no error, but also no result.
grok
{
match => ["message", "(took (?<duration>[\d]+) ms)?"]
}
What I´m I doing wrong ?
Thanks guys !
A solution would be to only apply the grok filter on the log lines ending with ms. It can be done using conditionals in your configuration.
if [message] =~ /took \d+ ms$/ {
grok {
match => ["message", "took %{NUMBER:duration} ms"]
}
}
I cannot explain why, but it works if you anchor it
grok { match => { "message" => "(took (?<duration>\d+) ms)?$" } }
I am new to the Logstash, I need to remove \ from request and Http_method
request": "\"GET https://www.vvvvvv HTTP/2.0""
http_method": "\"GET"
Expected results:
request": "GET https://www.vvvvvvv HTTP/2.0""
http_method": "GET"
Could you please help me?
Assuming that this is an event that is being parsed from a log file, when you are processing your events, in the filter plugin, you can use the gsub in mutate filter plugin to process it appropriately.
filter
{
mutate {
gsub => ["message","[\\]",""]
}
}
This would replace all the backslashes to empty string in the event.
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", "\.+", "" ]
}
}
I'm creating a logstash grok filter to pull events out of a backup server, and I want to be able to test a field for a pattern, and if it matches the pattern, further process that field and pull out additional information.
To that end I'm embedding an if statement within the grok statement itself. This is causing the test to fail with Error: Expected one of #, => right after the if.
This is the filter statement:
filter {
grok {
patterns_dir => "./patterns"
# NetWorker logfiles have some unusual fields that include undocumented engineering codes and what not
# time is in 12h format (ugh) so custom patterns need to be used.
match => [ "message", "%{NUMBER:engcode1} %{DATESTAMP_12H:timestamp} %{NUMBER:engcode2} %{NUMBER:engcode3} %{NUMBER:engcode4} %{NUMBER:ppid} %{NUMBER:pid} %{NUMBER:engcode5} %{WORD:processhost} %{WORD:processname} %{GREEDYDATA:daemon_message}" ]
# attempt to find completed savesets and pull that info from the daemon_message field
if [daemon_message] =~ /done\ saving\ to\ pool/ {
grok {
match => [ "daemon_message", "%{WORD:savehost}\:%{WORD:saveset} done saving to pool \'%{WORD:pool}\' \(%{WORD:volume}\) %{WORD:saveset_size}" ]
}
}
}
date {
# This is requred to set the time from the logline to the timestamp and not have it create it's own.
# Note the use of the trailing 'a' to denote AM or PM.
match => ["timestamp", "MM/dd/yyyy HH:mm:ss a"]
}
}
This block fails with the following:
$ /opt/logstash/bin/logstash -f ./networker_daemonlog.conf --configtest
Error: Expected one of #, => at line 12, column 12 (byte 929) after # Basic dumb simple networker daemon log grok filter for the NetWorker daemon.log
# no smarts to this and not really pulling any useful info from the files (yet)
filter {
grok {
... lines deleted ...
# attempt to find completed savesets and pull that info from the daemon_message field
if
I'm new to logstash, and I realise that using a conditional within the grok statement may not be possible, but I'd prefer doing conditional processing this way to additional match lines as this would leave the daemon_message field intact for other uses while pulling out the data I want.
ETA: I should also point out that totally removing the if statement allows the configtest to pass and the filter to parse logs.
Thanks in advance...
Conditionals go outside the filters, so something like:
if [field] == "value" {
grok {
...
}
]
would be correct. In your case, do the first grok, then test to run the second, i.e.:
grok {
match => [ "message", "%{NUMBER:engcode1} %{DATESTAMP_12H:timestamp} %{NUMBER:engcode2} %{NUMBER:engcode3} %{NUMBER:engcode4} %{NUMBER:ppid} %{NUMBER:pid} %{NUMBER:engcode5} %{WORD:processhost} %{WORD:processname} %{GREEDYDATA:daemon_message}" ]
}
if [daemon_message] =~ /done\ saving\ to\ pool/ {
grok {
match => [ "daemon_message", "%{WORD:savehost}\:%{WORD:saveset} done saving to pool \'%{WORD:pool}\' \(%{WORD:volume}\) %{WORD:saveset_size}" ]
}
}
This is really running two regexps for a record that matches. Since grok will only make fields when the regexp matches, you can do this:
grok {
match => [ "message", "%{NUMBER:engcode1} %{DATESTAMP_12H:timestamp} %{NUMBER:engcode2} %{NUMBER:engcode3} %{NUMBER:engcode4} %{NUMBER:ppid} %{NUMBER:pid} %{NUMBER:engcode5} %{WORD:processhost} %{WORD:processname} %{GREEDYDATA:daemon_message}" ]
}
grok {
match => [ "daemon_message", "%{WORD:savehost}\:%{WORD:saveset} done saving to pool \'%{WORD:pool}\' \(%{WORD:volume}\) %{WORD:saveset_size}" ]
}
You'd have to measure the performance across your actual log files since this will run fewer regexps, but the second one is more complicated.
If you really want to go nuts, you can do all of this in one grok{}, using the break_on_match feature.
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.)