In logstash I am parsing out the microseconds from my apache logs, how do I sort on this field in kibana?
Here is my filter for logs :
if [type] == "apachelogs" {
grok {
break_on_match => false
match => { "message" => "\[%{HTTPDATE:apachetime}\]%{SPACE}%{NOTSPACE:verb}%{SPACE}/%{NOTSPACE:ApacheRequested}" }
match=> { "message" => "\*\*%{NUMBER:seconds}/%{NUMBER:microseconds}" }
add_tag => "%{apachetime}"
add_tag => "%{verb}"
add_tag => "%{ApacheRequested}"
add_tag => "%{seconds}"
add_tag => "%{microseconds}"
}
}
As long as Logstash is parsing the field you want to sort on, which it is, then it has no impact on your ability to sort in Kibana.
To sort in Kibana, in the discovery view, add the field microseconds (or any field you want to sort on). Then you can sort on that field, using the arrow near the field name.
Why not sort on the field? Thanks to your grok pattern your event now has a microseconds field with the value in it.
You can sort via simple if and else if checks. Logstash Docs on Conditionals
if [microseconds] <= 30000000 {
# filter
}
else if [microseconds] <= 60000000 {
# filter
}
else {
# filter
}
EDIT: This answer has no bearing on the Question, since OP was actually asking about sorting in Kibana, this is about sorting in Logstash
Related
I am learning ELK and trying to do as a POC for my project. I am applying KV filter for the sample integration logs from my project and i could see lot of extra fields are coming as a result so i have tried to apply prune filter and white-listed certain fields. I can see the logs getting printed in the logstash server but logs are not going to elastic search. If i remove the filter it is going to the elastic search. Please advise how to further debug on this issue.
filter {
kv {
field_split => "{},?\[\]"
transform_key => "capitalize"
transform_value => "capitalize"
trim_key => "\s"
trim_value => "\s"
include_brackets => false
}
prune
{
whitelist_names => [ "App_version", "Correlation_id", "Env", "Flow_name", "host", "Instance_id", "log_level","log_thread", "log_timestamp", "message", "patient_id", "status_code", "type", "detail"]
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "mule-%{+YYYY.MM.dd}"
#user => "elastic"
#password => "changeme"
}
stdout { codec => rubydebug }
}
I also need two more suggestion,
I am also trying to use the grok filter in the initial logs and trying to take log level fields(time and log type) from the sample log and send the remaining logs to the KV filter. Is there any reference please share for it. This is what i have tried for it. but getting as _grokparsefailure. I have passed the msgbody to the kv filter with the source option.
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:loglevel}\s+%{GREEDYDATA:msgbody}"}
overwrite => [ "msgbody" ]
}
I am having message fields inside sample logs as like below. When the data goes to Kibana i can see two message field tag one is with full log and other is with correct message(highlighted). Will the mutate works for this case? Is there any way we can change the full log name as something else ??
[2020-02-10 11:20:07.172] INFO Mule.api [[MuleRuntime].cpuLight.04:
[main-api-test].api-main.CPU_LITE #256c5cf5:
[main-api-test].main-api-main/processors/0/processors/0.CPU_LITE
#378f34b0]: event:00000003 {app_name=main-api-main, app_version=v1,
env=Test, timestamp=2020-02-10T11:20:07.172Z,
log={correlation_id=00000003, patient_id=12345678,
instance_id=hospital, message=Start of System API,
flow_name=main-api-main}}
prune filter error
Your prune filter does not have the #timestamp field in the whitelist_names list, your output is date based (%{+YYYY.MM.dd}), logstash needs the #timestamp field in the output to extract the date.
I've ran your pipeline with your sample message and it worked as expected, with the prune filter the message is sent to elasticsearch, but it is stored in an index named mule- without any datetime field.
Without the prune filter your message uses the time when logstash received the event as the #timestamp, since you do not have any date filter to change it.
If you created the index pattern for the index mule-* with a datetime field like #timestamp, you won't see on Kibana any documents on the index that doesn't have the same datetime field.
grok error
Your grok is wrong, you need to escape the square brackets surrounding your timestamp. Kibana has a grok debugger where you can try your patterns.
The following grok works, move your kv to run after the grok and with the msgbody as source.
grok {
match => { "message" => "\[%{TIMESTAMP_ISO8601:timestamp}\]\s+%{LOGLEVEL:loglevel}\s+%{GREEDYDATA:msgbody}"}
overwrite => [ "msgbody" ]
}
kv {
source => "msgbody"
field_split => "{},?\[\]"
transform_key => "capitalize"
transform_value => "capitalize"
trim_key => "\s"
trim_value => "\s"
include_brackets => false
}
Just run it with output only to stdout to see the filters you need to change your prune filter.
duplicated message fields
If you put your kv filter after the grok you wouldn't have duplicated message fields since your kv is capitalizing your fields, you will end with a message field containing your full log, and a Message field containing your internal message, logstash fields are case sensitive.
However you can rename any field using the mutate filter.
mutate {
rename => ["message", "fullLogMessage"]
}
I have an elasticsearch instance, which parses my logfiles according to my regex pattern, which takes the date from the logfile. Then the date should be used as the index pattern for elasticsearch purposes. This is where it gets wrong. My logstash-pipeline-config-file looks as follows:
input {
beats {
port => "5044"
}
}
filter {
grok {
match => { "message" => "%{LOGGERLEVEL:log}%{PIPE:k}%{TIMESTAMP_ISO8601:datetime}%{GREEDYDATA:data}"}
}
date {
match => ["datetime", "ISO8601"]
timezone => "Europe/Helsinki"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
}
LOGGERLEVEL and PIPE are user defined regexes. This version parses the logs as it should but it indexes the first two hours of the day to the date before. If I change the config-file as follows, elasticsearch will ignore the first two hours altogether:
input {
beats {
port => "5044"
}
}
filter {
grok {
match => { "message" => "%{LOGGERLEVEL:log}%{PIPE:k}%{TIMESTAMP_ISO8601:datetime}%{GREEDYDATA:data}"}
}
date {
match => ["datetime", "ISO8601"]
timezone => "Europe/London"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
}
How should I configurate my pipeline that one day would be indexed as a whole and under the same index that is the date found from the logfile?
Solved the problem. Using kibana, go to management -> advanced settings and change the dateFormat:tz to the desired format. In my case I have to use the second configuration and select Europe/London from kibana-settings.
Im having a problem with ELK Stack + Filebeat.
Filebeat is sending apache-like logs to Logstash, which should be parsing the lines. Elasticsearch should be storing the split data in fields so i can visualize them using Kibana.
Problem:
Elasticsearch recieves the logs but stores them in a single "message" field.
Desired solution:
Input:
10.0.0.1 some.hostname.at - [27/Jun/2017:23:59:59 +0200]
ES:
"ip":"10.0.0.1"
"hostname":"some.hostname.at"
"timestamp":"27/Jun/2017:23:59:59 +0200"
My logstash configuration:
input {
beats {
port => 5044
}
}
filter {
if [type] == "web-apache" {
grok {
patterns_dir => ["./patterns"]
match => { "message" => "IP: %{IPV4:client_ip}, Hostname: %{HOSTNAME:hostname}, - \[timestamp: %{HTTPDATE:timestamp}\]" }
break_on_match => false
remove_field => [ "message" ]
}
date {
locale => "en"
timezone => "Europe/Vienna"
match => [ "timestamp", "dd/MMM/yyyy:HH:mm:ss Z" ]
}
useragent {
source => "agent"
prefix => "browser_"
}
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
hosts => ["localhost:9200"]
index => "test1"
document_type => "accessAPI"
}
}
My Elasticsearch discover output:
I hope there are any ELK experts around that can help me.
Thank you in advance,
Matthias
The grok filter you stated will not work here.
Try using:
%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]
There is no need to specify desired names seperately in front of the field names (you're not trying to format the message here, but to extract seperate fields), just stating the field name in brackets after the ':' will lead to the result you want.
Also, use the overwrite-function instead of remove_field for message.
More information here:
https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html#plugins-filters-grok-options
It will look similar to that in the end:
filter {
grok {
match => { "message" => "%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]" }
overwrite => [ "message" ]
}
}
You can test grok filters here:
http://grokconstructor.appspot.com/do/match
I need to extract numeric values from string and store in new field..Can we do this through scripted field?
Ex: 1 hello 3 test
I need to extract 1 and 3.
You can do this through logstash if you are using elasticsearch.
Run a logstash process with a config like
input {
elasticsearch {
hosts => "your_host"
index => "your_index"
query => "{ "query": { "match_all": {} } }"
}
}
filter {
grok {
match => { "your_string_field" => "%{NUMBER:num1} %{GREEDYDATA:middle_stuff} %{NUMBER:num2} %{GREEDYDATA:other_stuff}" }
}
mutate {
remove_field => ["middle_stuff", "other_stuff"]
}
}
output{
elasticsearch {
host => "yourhost"
index => "your index"
document_id => %{id}
}
}
This would essentially overwrite each document in your index with two more fields, num1 and num2 that correspond to the numbers that you are looking for. This is just a quick and dirty approach that would take up more memory, but would allow you to do all of the break up at one time instead of at visualization time.
I am sure there is a way to do this with scripting, look into groovy regex matching where you return a specific group.
Also no guarantee my config representation is correct as I don't have time to test it at the moment.
Have a good day!
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.