I can't get a match on this message with the date filter
"message" => "10.60.1.251\t\"10.60.1.152\"\t2016-12-28\t22:53:50\tPOST\t200\t1014\t0.084\
the message as it is displayed on stdout. The logfile where the message originates from is tab separated "\t"
any suggestions?
I have tried:
match => ["message", "YYYY-MM-dd HH:mm:ss"]
space between date and time is a tab
match => ["message", "YYYY-MM-dd'\t'HH:mm:ss"]
match => ["message", "YYYY-MM-dd\tHH:mm:ss"]
match => ["message", "YYYY-MM-dd..HH:mm:ss"]
match => ["message", "YYYY-MM-dd;HH:mm:ss"]
and several others
I came up with this solution - not very elegant though
filter {
grok {
match => ["message","%{DATE:extractDate} %{HAPROXYTIME:extractTime}"]
}
mutate {
add_field => {"dateTime" => "20%{extractDate} %{extractTime}"
}
remove_field => ["extractDate", "extractTime"]
}
date {
locale => "en"
match => ["dateTime", "yyyy-MM-dd HH:mm:ss"]
timezone => "Europe/Vienna"
target => "#timestamp"
add_field => { "debug" => "timestampMatched "}
remove_field => ["dateTime"]
}
}
The date{} filter is expecting a pattern that matches the entire string passed in.
The correct flow is to map the fields (as in your grok example), and then send just the date/time fields to the date{} filter.
With tab-separated data, I would look at the csv{} filter, which provides a "separator" parameter that I believe can be set to a tab.
Related
I am trying to input a timestamp field in Logstash and i am getting dateparsefailure message.
My Message -
2014-08-01;11:00:22.123
Pipeline file
input {
stdin{}
#beats {
# port => "5043"
# }
}
# optional.
filter {
date {
locale => "en"
match => ["message", "YYYY-MM-dd;HH:mm:ss.SSS"]
target => "#timestamp"
add_field => { "debug" => "timestampMatched"}
}
}
output {
elasticsearch {
hosts => [ "127.0.0.1:9200" ]
}
stdout { codec => rubydebug }
}
Can someone tell me what i am missing ?
Update 1
I referred to the link - How to remove trailing newline from message field and now it works.
But, in my log message, i have multiple values other than timestamp
<B 2014-08-01;11:00:22.123 Field1=Value1 Field2=Value2
When i give this as input, it is not working. How to read a part of the log and make it as timestamp ?
Update 2
it works now.
Changed the config file as below
filter {
kv
{
}
mutate {
strip => "message"
}
date {
locale => "en"
match => ["timestamp1", "YYYY-MM-dd;HH:mm:ss.SSS"]
target => "#timestamp"
add_field => { "debug" => "timestampMatched"}
}
}
I am posting the answer below and steps i used to solve the issue so that i can help people like me.
Step 1 - I read the message in the form of key and value pair
Step 2 - I trimmed off the extra space that leads to parse exception
Step 3 - I read the timestamp value and other fields in respective fields.
input {
beats {
port => "5043"
}
}
# optional.
filter {
kv { }
date {
match => [ "timestamp", "yyyy-MM-dd HH:mm:ss,SSS" ]
remove_field => [ "timestamp" ]
}
}
output {
elasticsearch {
hosts => [ "127.0.0.1:9200" ]
}
}
i'm triyng to monitor an irc server. And i'm loot for a way to create a new numeral field (example: Alert_level) only if a message match a specific word inside.
Example: Message: ABC | Alert_level: 1 ; Message: ZYX | Alert_level: 3.
Its the running code
input {
irc {
channels => "#xyz"
host => "a.b.c"
nick => "myusername"
catch_all => true
get_stats => true
}
}
output {
stdout { codec => "rubydebug" }
elasticsearch {
hosts => "localhost"
index => "logstash-irc-%{+YYYY.MM.dd}"
}
}
Thank you!
As #Val suggested above you might need to use the grok filter in order match something from the input. For example your filter could look something like this:
filter {
grok {
match => { "message" => "%{GREEDYDATA:somedata}" }
}
if "ZYX" in [message]{ <-- change your condition accordingly
mutate {
add_field => { "%{Alert_level}" => "12345" } <-- somefield is the field name
convert => { "Alert_level" => "integer" } <-- do the conversion
}
}
}
NOTE that you have to do the conversion in order to create a numeric field through logstash, where you can't directly create one. The above is just a sample so that you can reproduce. Do change the grok match in respect to your requirement. Hope it helps!
I just started with Logstash parsing a CSV document. CSV document only has two columns "Date" and "High". I have read various configurations to parse a date but I can not, giving me error in that field. The date has the format DD / MM / YYYY and error tells me the following:
Failed parsing date from field {:field=>"Date", :value=>"Date", :exception=>"Invalid format: \"Date\"", :config_parsers=>"dd/MM/YYYY", :config_locale=>"default=es_ES", :level=>:warn}
This is my configuration file to filter Logstash:
input {
file {
path => "/path/to/data.csv"
start_position => "beginning"
}
}
filter {
csv {
separator => ","
columns => ["Date","High"]
}
date{
match => [ "Date", "dd/MM/YYYY" ]
}
mutate {convert => ["High", "float"]}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
action => "index"
index => "machine"
workers => 1
}
stdout { codec => rubydebug }
}
Thank you!!
In your date plugin try to change the letter cases in the match setting. Something like this:
date{
match => [ "Date", "DD/MM/YYYY" ]
}
If not helping try to make them all lowercase.
The format string dd/MM/yyyy should work. You can find detailed specifications for formatting strings in the JodaTime documentation.
I want to convert logstash date type to this type 2015-12-03 03:01:00 and [message][3] - [message][1]
Date match doesn't work, how can I do?
Or %{[message][0]} expression is right or not.
filter {
multiline {
.............
}
grok {
match => { "message" => "%{GREEDYDATA:message}" }
overwrite => ["message"]
}
mutate {
gsub => ["message", "\n", " "]
split => ["message", " "]
}
date {
match => [ "%{[message][0]}","ISO8601"} ]
}
}
Message output like this:
"message" => [
[0] "2015-12-03T01:33:22+00:00"
[1]
[2]
[3] "2015-12-03T01:33:24+00:00"
]
Assuming your input is:
2015-12-03T01:33:22+00:00\n\n2015-12-03T01:33:24+00:00
You can grok that without split:
match => { message, "%{TIMESTAMP_ISO8601:string1}\\n\\n%{TIMESTAMP_ISO8601:string2}" }
You can then use the date{} filter with string1 or string2 as input.
I have a log in a CSV file with the date field in this pattern "24/09/2014", but when I read the file with Logstash the date field has a string type.
csv file example:
fecha,cant,canb,id,zon
24/09/2014,80,20,1.5,2
01/12/2014,50,25,1,3
My Logstash conf file:
input {
file {
path => "path/to/data.csv"
start_position => "beginning"
}
}
filter {
csv {
separator => ","
columns => ["fecha","cant","canb","id","zon"]
}
date {
match=> ["fecha","dd/MM/yyyy"]
}
mutate {convert => ["cant", "integer"]}
mutate {convert => ["canb", "integer"]}
mutate {convert => ["id", "float"]}
}
output {
elasticsearch {
action => "index"
host => "localhost"
index => "barrena"
workers => 1
}
stdout {}
}
Thanks!
The date would be copied to a field called #timestamp ( The date filter does it ) and this field would be date format.
You can safely remove the fetcha field once you have used the date filter.