Aggregate logs of different grok matches

Elastic Stack Logstash
1

Hi, I apologize in advance if the request appears incorrect
I need calculate the time difference between a request and response of a REST service, this service produce two logs, one for request e and one for response and have a different structure, I am therefore forced to use two grok filters.
With this premise, below is an example of how it could be

filter {
  grok {
      # grok service
      match => { "message" => "\"%{GREEDYDATA:url}/service-name\"" }
      add_field => [ "name", "match-service" ]
  }
  if [name] == "match-service" {
      # grok request service
      grok {
          match => { "message" => "\"%{TIMESTAMP_ISO8601:timestamp}\"\|\"transId: %{GREEDYDATA:transactionId}\"\|\"reqId: %{GREEDYDATA:requestId}\"\|...." }
          add_field => [ "service", "request" ]
      }
      if [service] == "request" {
          date {
          match => [ "timestamp", "yyyy-MM-dd HH:mm:ss:SSS" ] target => "t1" 
          }
      }
      # grok response service
      grok {
          match => { "message" => "\"%{TIMESTAMP_ISO8601:timestamp}\"\|\"transId: %{GREEDYDATA:transactionId}\"\|\"resId: %{GREEDYDATA:responseId}\"\|...." }
          add_field => [ "service", "response" ]
      }
      if [service] == "response" {
          date {
          match => [ "timestamp", "yyyy-MM-dd HH:mm:ss:SSS" ] target => "t2" 
      }
    }
  }
}

Could I aggregate the logs to get the difference between t2 and t1 ? I think it can be done with aggregate setting transactionId as task_id but I don't know if it's possible

Thanks

2

It is. There is an example of something like that here.