How does someone replace #timestamp field in a Logstash pipeline without converting DateTime to a string and then doing a date filter on that column?
mutate {
convert => ["datetime", "string"]
}
date {
match => ["datetime", "ISO8601"]
}
To avoid multiple filters, it's possible to perform a simple rename to a field, doing it as follows:
mutate {
id => "sample-rename-timestamp"
rename => {
"datetime" => "#timestamp"
}
}
This will replace message arrival #timestamp with your provided field.
Because the jdbc output field datetime is a date type, so we can copy it as #timestamp field.
filter {
mutate {
copy => { "datetime" => "#timestamp" }
}
}
Related
I have a date in my logs like below formats,
YYYY-M-dd and YYYY-MM-d and YYYY-M-d
2020-9-21
2020-11-1
2020-9-1
date filter plugin match with
date {
match => [ "event_date" ,"yyyy-MM-dd"]
}
Some logs I get date parse exception because of this. Is it possible to match all of these. I means match this format if not match another date format.
The error is
"failed to parse field [event_date] of type [date] in document with id '...'. Preview of field's value: '2017-11-2'", "caused_by"=>{"type"=>"illegal_argument_exception", "reason"=>"failed to parse date field [2017-11-2] with format [strict_date_optional_time||epoch_millis]", "caused_by"=>{"type"=>"date_time_parse_exception", "reason"=>"date_time_parse_exception: Failed to parse with all enclosed parsers"}}}}}}
How can i solve it ? Thanks for answering
One of a solution is to have a mechanism like a switch implemented by the date filter with the tag_on_failure value. It looks like this :
filter{
date {
match => [ "event_date" ,"yyyy-MM-dd"]
tag_on_failure => [ "not_format_date1"]
}
if "not_format_date1" in [tags] {
date {
match => [ "event_date" ,"yyyy-MM-d"]
tag_on_failure => [ "not_format_date2"]
}
}
if "not_format_date2" in [tags] {
date {
match => [ "event_date" ,"yyyy-M-d"]
tag_on_failure => [ "no_format"]
}
}
}
I have tried first answer but didn't solve my issue. #YLR's way also good way to improve.
I have solved my question with changing fields like M to MM with if conditions. Below is an example.
if [monthday] == "1"{
mutate {
update => { "monthday" => "01" }
}
}else if [monthday] == "2"{
mutate {
update => { "monthday" => "02" }
}
}else if [monthday] == "3"{
mutate {
update => { "monthday" => "03" }
}
}
....
That solved my question but its little bit hard way.
i have an issue using logstash mutate filter gsub.
Required
Remove "ZC" characters of a field and coverting it into float
{
"field" => "12.343,40ZC",
"#timestamp" => 2020-01-06T23:00:00.000Z
}
Expected output
{
"field" => "-12343,40",
"#timestamp" => 2020-01-06T23:00:00.000Z
}
Code not working
filter{
if "ZC" in "field" {
mutate { gsub => ["field","ZC",""] }
}
}
Code working
filter{
mutate { gsub => ["field","ZC",""] }
}
I need the "if" statement because depends if the two characters exist inside the field to make a positive or negative float.
Your conditional is wrong, if you use "field" logstash understands that as a string with the value field, the correct way is to use the format [field].
Change your conditional to the following.
filter {
if "ZC" in [field] {
mutate { gsub => ["field","ZC",""] }
}
}
I am using logstash to push data from filebeat to elasticsearch. My data has time as hh:mm:ss a (05:21:34 AM). I want to add today's date to it.
This is filter of logstash config
filter{
grok{ some grok pattern to get time}
date {
locale => "en"
match => ["time", "hh:mm:ss a"]
target => "#timestamp"
}
}
But data converted as 2016-01-01T05:21:34.000Z
How can I change it to 2016-10-14T05:21:34.000Z?
I think logstash is smart enough to use the current year (as you're seeing), but it's not defaulting the other fields.
You should make a new field with the full datetime string you want. Something like this should work between your grok and date:
grok { }
mutate {
add_field => { "datetime" => "%{+YYYY.MM.dd} %{time}" }
}
date { }
Be sure to change your date{} pattern to use the new datetime field and its format. If you don't want the datetime field after date{} is called, you can either use a metadata field instead, or remove_field as part of date{}.
I'm trying to parse some epoch timestamps to be something more readable.
I looked around for how to parse them into a normal time, and from what I understand all I should have to do is something like this:
mutate
{
remove_field => [ "..."]
}
grok
{
match => { 'message' => '%{NUMBER:time}%{SPACE}%{NUMBER:time2}...' }
}
date
{
match => [ "time","UNIX" ]
}
An example of a message is: 1410811884.84 1406931111.00 ....
The first two values should be UNIX time values.
My grok works, because all of the fields show in Kibana with the expected values, and all the values fields I've removed aren't there so the mutate works too. The date section seems to do nothing.
From what I understand the match => [ "time","UNIX" ] should do what I want (Change the value of time to be a proper date format, and have it show on kibana as a field.) . So apparently I'm not understanding it.
The date{} filter replaces the value of #timestamp with the data provided, so you should see #timestamp with the same value as the [time] field. This is typically useful since there's some delay in the propagation, processing, and storing of the logs, so using the event's own time is preferred.
Since you have more than one date field, you'll want to use the 'target' parameter of the date filter to specify the destination of the parsed date, e.g.:
date {
match => [ "time","UNIX" ]
target => "myTime"
}
This would convert the string field named [time] into a date field named [myTime]. Kibana knows how to display date fields, and you can customize that in the kibana settings.
Since you probably don't need both a string a date version of the same data, you can remove the string version as part of the conversion:
date {
match => [ "time","UNIX" ]
target => "myTime"
remove_field => [ "time" ]
}
Consider also trying with UNIX_MS for milliseconds.
date {
timezone => "UTC"
match => ["timestamp", "UNIX_MS"]
target => "#timestamp"
}
My input has timestamp in the format of Apr20 14:59:41248 Dataxyz.
Now in my output i need the timestamp in the below format:
**Day Month Monthday Hour:Minute:Second Year DataXYZ **. I was able to remove the timestamp from the input. But I am not quite sure how to add the new timestamp.
I matched the message using grok while receiving the input:
match => ["message","%{WORD:word} %{TIME:time} %{GREEDYDATA:content}"]
I tried using mutate add_field.but was not successful in adding the value of the DAY. add_field => [ "timestamp","%{DAY}"].I got the output as the word ´DAY´ and not the value of DAY. Can someone please throw some light on what is being missed.
You need to grok it out into the individual named fields, and then you can reference those fields in add_field.
So your grok would start like this:
%{MONTH:month}%{MONTHDAY:mday}
And then you can put them back together like this:
mutate {
add_field => {
"newField" => "%{mday} %{month}"
}
}
You can check with my answer, I think this very helpful to you.
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:time} \[%{NUMBER:thread}\] %{LOGLEVEL:loglevel} %{JAVACLASS:class} - %{GREEDYDATA:msg}" }
}
if "Exception" in [msg] {
mutate {
add_field => { "msg_error" => "%{msg}" }
}
}
You can use custom grok patterns to extract/rename fields.
You can extract other fields similarly and rearrange/play arounnd with them in mutate filter. Refer to Custom Patterns for more information.