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"]
}
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 need to parse the date and timestamp in the log to show in #timestamp field. I am able to parse timestamp but not date.
Input Log:
"2010-08-18","00:01:55","text"
My Filter:
grok {
match => { "message" => '"(%{DATE})","(%{TIME})","(%{GREEDYDATA:message3})"’}
}
Here DATE throws grokparsefailure.
Also not sure how to update the #timestamp field.
Appreciate your help.
The %{DATE} pattern is not what you want. It's looking for something in M/D/Y, M-D-Y, D-M-Y, or D/M/Y format.
For a file like this, you could consider using the csv filter:
filter {
csv {
columns => ["date","time","message3"]
add_filed => {
"date_time" => "%{date} %{time}"
}
}
date {
match => [ "date_time", "yyyy-MM-dd HH:mm:ss" ]
remove_field => ["date", "time", "date_time" ]
}
}
This will handle the case where message3 has embedded quotes in it that have been escaped.
since I've upgraded our ELK-stack from 5.0.2 to 5.2 our grok filters fail and I've no idea why. Maybe I've overlooked something in the changelogs?
Filter
filter {
if [type] == "nginx_access" {
grok {
match => { "message" => "%{IPORHOST:remote_addr} - %{USERNAME:remote_user} \[%{TIMESTAMP_ISO8601:timestamp}\] \"%{WORD:method} %{URIPATHPARAM:request} HTTP/%{NUMBER:httpversion}\" %{INT:status} %{INT:body_bytes_sent} %{QS:http_referer} %{QS:http_user_agent} \"%{DATA:host_uri}\" \"%{DATA:proxy}\" \"%{DATA:upstream_addr}\" \"%{WORD:cache_status}\" \[%{NUMBER:request_time}\] \[(?:%{NUMBER:proxy_response_time}|-)\]" }
add_field => [ "received_at", "%{#timestamp}" ]
}
mutate {
convert => {
"proxy_response_time" => "float"
"request_time" => "float"
"body_bytes_sent" => "integer"
}
}
}
}
Error
Invalid format: \"2017-02-05T15:55:38+01:00\" is malformed at \"-02-05T15:55:38+01:00\"
Full Error
[2017-02-05T15:55:49,500][WARN ][logstash.outputs.elasticsearch] Failed action. {:status=>400, :action=>["index", {:_id=>nil, :_index=>"filebeat-2017.02.05", :_type=>"nginx_access", :_routing=>nil}, 2017-02-05T14:55:38.000Z proxy2 4.3.2.1 - - [2017-02-05T15:55:38+01:00] "HEAD / HTTP/1.1" 200 0 "-" "Zabbix" "example.com" "host1:10040" "1.2.3.4:10040" "MISS" [0.095] [0.095]], :response=>{"index"=>{"_index"=>"filebeat-2017.02.05", "_type"=>"nginx_access", "_id"=>"AVoOxh7p5p68dsalXDFX", "status"=>400, "error"=>{"type"=>"mapper_parsing_exception", "reason"=>"failed to parse [timestamp]", "caused_by"=>{"type"=>"illegal_argument_exception", "reason"=>"Invalid format: \"2017-02-05T15:55:38+01:00\" is malformed at \"-02-05T15:55:38+01:00\""}}}}}
The whole thing works perfectly on http://grokconstructor.appspot.com and the TIMESTAMP_ISO8601 still seems the right choice (https://github.com/logstash-plugins/logstash-patterns-core/blob/master/patterns/grok-patterns)
Techstack
Ubuntu 16.04
Elasticsearch 5.2.0
Logstash 5.2.0
Filebeat 5.2.0
Kibana 5.2.0
Any idas?
Cheers,
Finn
UPDATE
So this version works for some reason
filter {
if [type] == "nginx_access" {
grok {
match => { "message" => "%{IPORHOST:remote_addr} - %{USERNAME:remote_user} \[%{TIMESTAMP_ISO8601:timestamp}\] \"%{WORD:method} %{URIPATHPARAM:request} HTTP/%{NUMBER:httpversion}\" %{INT:status} %{INT:body_bytes_sent} %{QS:http_referer} %{QS:http_user_agent} \"%{DATA:host_uri}\" \"%{DATA:proxy}\" \"%{DATA:upstream_addr}\" \"%{WORD:cache_status}\" \[%{NUMBER:request_time}\] \[(?:%{NUMBER:proxy_response_time}|-)\]" }
add_field => [ "received_at", "%{#timestamp}" ]
}
date {
match => [ "timestamp" , "yyyy-MM-dd'T'HH:mm:ssZ" ]
target => "timestamp"
}
mutate {
convert => {
"proxy_response_time" => "float"
"request_time" => "float"
"body_bytes_sent" => "integer"
}
}
}
}
If someone can shed some light why I have to redefine a valid ISO8601 date I would be happy to know.
Make sure you specify the format of timestamp you are expecting in your documents, where the mapping could look like:
PUT index
{
"mappings": {
"your_index_type": {
"properties": {
"date": {
"type": "date",
"format": "yyyy-MM-ddTHH:mm:ss+01:SS" <-- make sure to give the correct one
}
}
}
}
}
If you do not specify it correctly, Elasticsearch will expect the timestamp value in format of ISO. OR you could do a date match for your timestamp field, which could look something like this within your filter:
date {
match => [ "timestamp" , "yyyy-MM-ddTHH:mm:ss+01:SS" ] <--match the timestamp (I'm not sure what +01:ss stands for, make sure it matches)
target => "timestamp"
locale => "en"
timezone => "UTC"
}
Or you could add a new field and match that to the timestamp if you wish, and then you could remove it if you aren't really using it, since you have the timestamp on the new field. Hope it helps.
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"
}