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.
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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"
}
}
Related
when i check the elasticsearch output it seems not correct with timestamp it is displaying
For HH:mm:ss.SSS (not working correctly) -> apache.log
"message" : "[DEBUG] 2020-12-05 12:26:18.254...
"#timestamp" : "2021-01-11T03:31:10.314Z",
For HH:mm:ss,SSS (working correctly) -> eai_new.log
"timestamp" : "2020-11-23 06:05:05,297",
"message" : "2020-11-23 06:05:05,297
"#timestamp" : "2020-11-22T22:05:05.297Z"
Besides that what the difference between timestamp and #timestamp?
Below is my logstash code
filter {
if [name_of_log] in ["apache"] {
grok {
match => { "message" => "\[%{LOGLEVEL:level}\] %{TIMESTAMP_ISO8601:timestamp} %{GREEDYDATA:msg}" }
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss.SSS" ]
}
} else {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:level} %{GREEDYDATA:msg}" }
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss,SSS" ]
}
}
}
The date filter in logstash have a targeted field where it put the value that just will be parsed. This name of the default field is #timestamp.
So when data parsing is ok, the result of the parsing process is saved in the field #timestamp.
You have more details here about the date filter of logstash.
If the parsing operation doesn't work, the #timestamp is put by elsaticsearch himself and the value corresponding of the date of insertion into elasticsearch side. This is the default behaviour if you haven't set a specific configuration (for mapping) in your elasticsearch example.
The timestamp field is set during your grok operation. In your code, this set the timestamp field {TIMESTAMP_ISO8601:timestamp} in this part of logstash filter configuration:
grok {
match => { "message" => "\[%{LOGLEVEL:level}\] %{TIMESTAMP_ISO8601:timestamp} %{GREEDYDATA:msg}" }
}
I am using logstash 6.2.4 with the following config:
input {
stdin { }
}
filter {
date {
match => [ "message","HH:mm:ss" ]
}
}
output {
stdout { }
}
With the following input:
10:15:20
I get this output:
{
"message" => "10:15:20",
"#version" => "1",
"host" => "DESKTOP-65E12L2",
"#timestamp" => 2019-01-01T09:15:20.000Z
}
I have just a time information, but would like to parse it as current date.
Note that current date is 1. March 2019, so I guess that 2019-01-01 is some sort of default ?
How can I parse time information and add current date information to it ?
I am not really interested in any replace or other blocks as according to the documentation, parsing the time should default to current date.
You need to add a new field merging the current date with the field that contains your time information, which in your example is the message field, then your date filter will need to be tested against this new field, you can do this using the following configuration.
filter {
mutate {
add_field => { "current_date" => "%{+YYYY-MM-dd} %{message}" }
}
date {
match => ["current_date", "YYYY-MM-dd HH:mm:ss" ]
}
}
The result will be something like this:
{
"current_date" => "2019-03-03 10:15:20",
"#timestamp" => 2019-03-03T13:15:20.000Z,
"host" => "elk",
"message" => "10:15:20",
"#version" => "1"
}
I am trying to convert "#timestamp": "2017-08-16T15:20:07.254Z" to "America/Vancouver" timezone.
This is the output:
"localtimestamp" => "2017-08-16 15:20:07.254",
"localtimestamp1" => 2017-08-16T22:20:07.254Z,
mutate {
add_field => {
# Create a new field with string value of the UTC event date
"localtimestamp" => "%{#timestamp}"
}
}
ruby {
code => "
event.set('localtimestamp' , event.get('#timestamp').time.strftime('%Y-%m-%d %H:%M:%S.%L'))
"
}
date {
match => [ "localtimestamp", "yyyy-MM-dd HH:mm:ss.SSS" ]
timezone => "America/Vancouver"
target => "localtimestamp1"
}
Any help would be appreciated. I just need to show the #timestamp in a new field with the stamp converted to a local time
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"]
}
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" ]
}