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
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"
}
}
I want to combine two fields from a logfile and use the result as timestamp for logstash.
The logfile is in csv format and the date format is somewhat confusing. Date and time are formated like this:
Datum => 17|3|19
Zeit => 19:21:50
I tried the following code.
filter {
csv {
separator => ","
columns => [ "Datum", "Zeit" ]
}
mutate {
merge => { "Datum" => "Zeit" }
}
date {
match => [ "Datum", "d M yy HH:mm:ss" ]
}
}
The merge part seems to work with this result
"Datum" => [
[0] "17|3|19",
[1] "23:32:37"
]
but for the conversion of the date i get the following error message:
"_dateparsefailure"
can someone please help me?
With an event with the following fields:
"Datum" => "17|3|19"
"Zeit" => "19:21:50"
I got a working configuration:
mutate {
merge => { "Datum" => "Zeit" }
}
mutate {
join => {"Datum" => ","}
}
date {
match => [ "Datum", "d|M|yy,HH:mm:ss" ]
}
This give me in the output: "#timestamp":"2019-03-17T18:21:50.000Z"
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'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 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"
}