I am having nginx error logs of the below form:-
2015/09/30 22:19:38 [error] 32317#0: *23 [lua] responses.lua:61: handler(): Cassandra error: Error during UNIQUE check: Cassandra error: connection refused, client: 127.0.0.1, server: , request: "POST /consumers/ HTTP/1.1", host: "localhost:8001"
As mentioned here I am able to parse this logs.
My filter configuration is like the below:-
filter {
grok {
match => {
"message" => [
"%{DATESTAMP:mydate} \[%{DATA:severity}\] (%{NUMBER:pid:int}#%{NUMBER}: \*%{NUMBER}|\*%{NUMBER}) %{GREEDYDATA:mymessage}",
"%{DATESTAMP:mydate} \[%{DATA:severity}\] %{GREEDYDATA:mymessage}",
"%{DATESTAMP:mydate} %{GREEDYDATA:mymessage}"
]
}
add_tag => ["nginx_error_pattern"]
}
if ("nginx_error_pattern" in [tags]) {
grok {
match => {
"mymessage" => [
"server: %{DATA:[request_server]},"
]
}
}
grok {
match => {
"mymessage" => [
"host: \"%{IPORHOST:[request_host]}:%{NUMBER:[port]}\""
]
}
}
grok {
match => {
"mymessage" => [
"request: \"%{WORD:[request_method]} %{DATA:[request_uri]} HTTP/%{NUMBER:[request_version]:float}\""
]
}
}
grok {
match => {
"mymessage" => [
"client: %{IPORHOST:[clientip]}",
"client %{IP:[clientip]} "
]
}
}
grok {
match => {
"mymessage" => [
"referrer: \"%{DATA:[request_referrer]}\""
]
}
}
}
}
mydate
is having date of the form:-
"mydate" => "15/09/30 22:19:38"
Can someone let me know how can I add one more field (let's say log_day
) having date of the form 2015-09-30
?
It is always a good idea to save the time/date in a field of type date
. It enables you to do complex range queries with Elasticsearch or Kibana.
You can use logstash's date filter to parse the date.
Filter:
date {
match => [ "mydate", "YY/MM/dd HH:mm:ss" ]
}
Result:
"@timestamp" => "2015-09-30T20:19:38.000Z"
The date filter puts the result in the @timestamp
field by default.
To avoid the default mapping into @timestamp
field, specify the target field like "log_day", such as following:
Filter:
date {
match => [ "mydate", "YY/MM/dd HH:mm:ss" ]
target => "log_day"
}
Result:
"log_day" => "2015-09-30T20:19:38.000Z"
Once you have a field of type date
you can proceed with further operations. You might use the date_formatter filter to create another date field in your special format.
date_formatter {
source => "log_day"
pattern => "YYYY-MM-dd"
}
Result: "log_day" => "2015-09-30"