My log file has this pattern:
[Sun Oct 30 17:16:09 2016] [TRACE_HIGH] [TEST1] MessageTest1
[Sun Oct 30 17:16:10 2016] [TRACE_HIGH] [TEST2] MessageTest2
Pattern:
\A\[%{HTTPDERROR_DATE}](?<message>(.|\r|\n)*)
Filter:
filter {
if [type] == "mycustomlog" {
grok {
match => { "message" => "\A\[%{HTTPDERROR_DATE}](?<message>(.|\r|\n)*)"}
}
date {
# Format: Wed Jan 13 11:50:44.327650 2016 (GROK: HTTPDERROR_DATE)
match => [ "timestamp", "EEE MMM dd HH:mm:ss yyyy"]
}
multiline {
pattern => "^%{SYSLOG5424SD}%{SPACE}"
what => "previous"
negate=> true
}
}
}
I am trying to use my datetime log into #timestamp field, but I cannot parse this format into #timestamp. Why the date filter did not replace the #timestamp value?
My #timestamp is different from the log row:
row[0]
#timestamp: [Wed Nov 2 15:56:42 2016]
message: [Wed Nov 2 15:56:41 2016]
I am following this tutorial:
https://www.digitalocean.com/community/tutorials/adding-logstash-filters-to-improve-centralized-logging
Using:
Elasticsearch 2.2.x, Logstash 2.2.x, and Kibana 4.4.x
Grok Constructor Print:
The grok pattern used, \A\[%{HTTPDERROR_DATE}](?<message>(.|\r|\n)*) does not create a field from the %{HTTPDERROR_DATE}.
You need to have %{pattern:field} so that the data captured by the pattern creates a field (cf documentation).
So in your case it would be like this:
\A\[%{HTTPDERROR_DATE:timestamp}](?<message>(.|\r|\n)*)
I think Elasticsearch/Kibana #timestamp doesn't support "EEE MMM dd HH:mm:ss yyyy" format. Hence, you can bring the timestamp to the format "dd/MMM/yyyy:HH:mm:ss.SSSSSS" using mutate processor.
Snippet as below:
grok {
match => [ "message", "\[%{DAY:day} %{MONTH:month} %{MONTHDAY:monthday} %{TIME:time} %{YEAR:year}\] %{GREEDYDATA:message}" ]
}
mutate {
add_field => {
"timestamp" => "%{monthday}/%{month}/%{year}:%{time}"
}
}
date {
locale => "en"
timezone => "UTC"
match => ["timestamp", "dd/MMM/yyyy:HH:mm:ss.SSSSSS"]
target => "#timestamp"
remove_field => ["timestamp", "monthday", "year", "month", "day", "time"]
}
It may help someone. Thanks!
To apply the new field you must enter the target to overwrite the field:
target => "#timestamp"
By example:
date {
match => [ "timestamp", "dd MMM yyyy HH:mm:ss" ]
target => "#timestamp"
locale => "en"
remove_field => [ "timestamp" ]
}
Related
Below is the timestamp in my logfiles which exist in my s3 bucket.
[2019-10-17 10:23:02.021 GMT] ***** ImpEx process 'CQExport' FINISHED (status: OK Details: error=OK, id: 1571307782013). *****
[2019-11-27 00:15:01.799 GMT] DEBUG []Starting DR Backup
I want to replace logfile timestamp with #timestamp on kibana dashboard.
enter image description here
Ex: i want to replace/visualise Time Dec 16, 2019 #20:04:57.524 with logfile timestamp [2019-10-17 14:21:05.301 GMT] on kibana dashboard
Below is my snippet i have configured but unable to see logfile timestamp.
**filter {
grok {
match => { "message" => "^%{TIMESTAMP_ISO8601:timestamp}" }
}
date {
match => [ "timestamp" , "ISO8601" ]
target => "#logtimestamp"
locale => "en"
timezone => "UTC"
}
}**
What Time Filter field name did you choose when creating your index ?
Try below conf, where target is #timestamp
filter {
grok {
match => { "message" => "\[(?<timestamp>%{TIMESTAMP_ISO8601}) (?<TZ>GMT)\]" }
}
date {
match => [ "timestamp" , "ISO8601" ]
target => "#timestamp"
locale => "en"
timezone => "UTC"
}
}
My time stamp in the logs are in the format as below
2016-04-07 18:11:38.169 which is yyyy-MM-dd HH:mm:ss.SSS
This log file is not live one (stored/old one), and I am trying to replace this timpestamp with logstash #timestamp value for the betterment in the Kibana Visualization.
My filter in logstash is like below
grok {
match => {
"message" => [ "(?<timestamp>(\d){4}-(\d){2}-(\d){2} (\d){2}:(\d){2}:(\d){2}.(\d){3}) %{SYSLOG5424SD} ERROR u%{BASE16FLOAT}.%{JAVACLASS} - TransId:2b948ed5-12c0-4ae0-9b99-f1ee01191001 - TransactionId ::\"2b948ed5-12c0-4ae0-9b99-f1ee01191001\"- Actual Time taken to process \:\: %{NUMBER:responseTime:int}" ]
}
}
date {
match => [ "timestamp:date" , "yyyy-MM-dd HH:mm:ss.SSS Z" ]
timezone => "UTC"
target => "#timestamp"
}
But, its not replacing the #timestamp value, Json value
{
"_index": "logstash-2017.02.09",
"_type": "logs",
"_id": "AVoiZq2ITxwgj2avgkZa",
"_score": null,
"_source": {
"path": "D:\\SoftsandTools\\Kibana\\Logs_ActualTimetakentoprocess.log",
"#timestamp": "2017-02-09T10:23:58.778Z", **logstash #timestamp**
"responseTime": 43,
"#version": "1",
"host": "4637",
"message": "2016-04-07 18:07:01.809 [SimpleAsyncTaskExecutor-3] ERROR s.v.wsclient.RestClient - TransId:2b948ed5-12c0-4ae0-9b99-f1ee01191001 - TransactionId ::\"2b948ed5-12c0-4ae0-9b99-f1ee01191001\"- Actual Time taken to process :: 43",
"timestamp": "2016-04-07 18:07:01.809" **Mine time stamp**
}
Sample log line -
2016-04-07 18:11:38.171 [SimpleAsyncTaskExecutor-1] ERROR s.v.wsclient.RestClient - TransId:2b948ed5-12c0-4ae0-9b99-f1ee01191001 - TransactionId ::"2b948ed5-12c0-4ae0-9b99-f1ee01191001"- Actual Time taken to process :: 521
Could you please help and let me know, where am I going wring here..
You should basically have a grok match in order to use the timestamp of your log line:
grok {
patterns_dir => ["give your path/patterns"]
match => { "message" => "^%{LOGTIMESTAMP:logtimestamp}%{GREEDYDATA}" }
}
In your pattern file make sure to have the patter which matches your timestamp in the log, which could look something like this:
LOGTIMESTAMP %{YEAR}%{MONTHNUM}%{MONTHDAY} %{TIME}
And then once you've done the grok filtering you might be able to use the filtered value like:
mutate {
add_field => { "newtimestamp" => "%{logtimestamp}" }
remove_field => ["logtimestamp"]
}
date {
match => [ "newtimestamp" , "ISO8601" , "yyyy-MM-dd HH:mm:ss.SSS" ]
target => "#timestamp" <-- the timestamp which you wanted to apply on
locale => "en"
timezone => "UTC"
}
Hope this helps!
you can use date filter plugin of logstash
date {
match => ["timestamp", "UNIX"]
}
I'm trying to config logstash to process some test log, but I keep getting a dateparsefailure and I don't understand why. My input is
2016-09-18 00:00:02,013 UTC, idf="639b26a731284b43beac8b26f829bcab"
And my config (I've also tried including the timezone into the pattern):
input {
file {
path => "/tmp/test.log"
start_position => "beginning"
}
}
filter {
date {
match => ["message", "yyyy-MM-dd HH:mm:ss,SSS"]
timezone => "UTC"
add_field => { "debug" => "timestampMatched"}
}
grok {
match => { "message" => "%{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day} %{HOUR:hour}:%{MINUTE:minute}:%{SECOND:second},%{NUMBER:milis} UTC, idf=\"%{WORD:idf}\""}
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
stdout {
codec => rubydebug
}
}
Finaly, the error:
{:timestamp=>"2016-09-21T10:04:32.060000+0000", :message=>"Failed parsing date from field", :field=>"message", :value=>"2016-09-18 00:00:02,013 UTC, idf=\"639b26a731284b43beac8b26f829bcab\"", :exception=>"Invalid format: \"2016-09-18 00:00:02,013 UTC, idf=\"639b26a731284b4...\" is malformed at \" UTC, idf=\"639b26a731284b4...\"", :config_parsers=>"yyyy-MM-dd HH:mm:ss,SSS", :config_locale=>"default=en_US", :level=>:warn, :file=>"logstash/filters/date.rb", :line=>"354", :method=>"filter"}
It says that the date it is malformed after the end of it. Why does this happen, shouldn't it 'stop searching' since the date has already a match?
Before you can use the date filter, you first have to use grok to separate the date and the rest of the message. The date filter only accepts a timestamp. If you have any other information in the field the error you are describing will occur.
Using your provided logline I would recommend this:
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timedate} %{GREEDYDATA}"}
}
date {
match => [ "timedate" => "yyyy-MM-dd HH:mm:ss,SSS"]
}
}
In this minimal example I match the timestamp in the timedate field and then crunch it trough the date filter.
I have this log that print the date format that looks like this:
= Build Stamp: 10:45:33 On Apr 4 2014 =
So i have run the filter on grok debugger but still clueless on how to remove the word On
grok {
patterns_dir => "./patterns"
match => { "message" => "%{F_TIMESTAMP:timestamp}" }
}
date {
match => [ "timestamp" , "HH:mm:ss MMM d yyyy" , "HH:mm:ss MMM dd yyyy" ]
locale => "en"
}
pattern file,
F_TIMESTAMP %{TIME} \On %{MONTH} +%{MONTHDAY} %{YEAR}
My current output for timestamp would be
10:45:33 On Apr 4 2014 on grok debugger.
Then how can i make it compatible/match with logstash #timestamp ?
You can extract each part of date time and combine in another field without On keyword.
You can achieve this following :
filter {
grok {
match => { "message" => "%{F_TIMESTAMP}" }
}
mutate {
add_field => {
"timestamp" => "%{time} %{month} %{monthday} %{year}"
}
}
date {
match => [ "timestamp" , "HH:mm:ss MMM d yyyy" , "HH:mm:ss MMM dd yyyy" ]
locale => "en"
}
mutate {
remove_field => [ "time" ,"month","monthday","year","timestamp"]
}
}
F_TIMESTAMP %{TIME:time}\s*On\s*%{MONTH:month}\s*%{MONTHDAY:monthday}\s*%{YEAR:year}
Its working fine for me.
I would like to create a copy of the #timestamp field such that it uses the same format as #timestamp.
I've tried the following:
mutate
{
add_field => ["read_time", "%{#timestamp}"]
}
but while #timestamp is in the format: 2014-08-01T18:34:46.824Z,
the read_time is in this format 2014-08-01 18:34:46.824 UTC
This is an issue as Kibana doesn't understand the "UTC" format for histograms.
Is there a way using the date filter to do this?
Kibana can't understand because the read_time field is a string, not a timestamp!
You can use ruby filter to do what you need. Just copy the #timestamp to a new field read_time and the field time is in timestamp, not string. The add_field is add a new field with string type!
Here is my config:
input {
stdin{}
}
filter {
ruby {
code => "event['read_time'] = event['#timestamp']"
}
mutate
{
add_field => ["read_time_string", "%{#timestamp}"]
}
}
output {
stdout {
codec => "rubydebug"
}
}
You can try and see the output, the output is:
{
"message" => "3243242",
"#version" => "1",
"#timestamp" => "2014-08-08T01:09:49.647Z",
"host" => "BENLIM",
"read_time" => "2014-08-08T01:09:49.647Z",
"read_time_string" => "2014-08-08 01:09:49 UTC"
}
Hope this can help you.
You don't need to run any Ruby code. You can just use the add_field setting of the Mutate filter plugin:
mutate {
# Preserve "#timestamp" as "logstash_intake_timestamp"
add_field => { "logstash_intake_timestamp"=> "%{#timestamp}" }
}
date {
# Redefines "#timestamp" field from parsed timestamp, rather than its default value (time of ingestion by Logstash)
# FIXME: include timezone:
match => [ "timestamp_in_weird_custom_format", "YYYY-MM-dd HH:mm:ss:SSS" ]
tag_on_failure => ["timestamp_parse_failed"]
target => "#timestamp"
}