Filebeat+csv - to many fields indexed

[urosz (uros)]

Hi,
I've created a flow
filebeat (*.csv) -> elasticseach cloud -> kibana

Ingest pipe:
    PUT _ingest/pipeline/stat_csv_parser
    {
      "description" : "CSV Parser",
      "processors" : [
        {
          "grok": {
            "field": "message",
            "patterns": ["%{NUMBER:eventId},%{DATA:contentName},%{NUMBER:time},%{NUMBER:duration}"],
            "ignore_missing": true
          }
        },
        {
          "date":{
            "field":"time",
            "formats": ["UNIX"]
          }
        }
      ],
      "on_failure" : [
        {
          "set" : {
            "field" : "error",
            "value" : " - Error processing message - "
          }
        }
      ]
    }

CSV data is in a form:

1,movie2,1560411512478,120
1,movie1,1560411513234,10

My problem is that in addition to 4 fields, i get aprox 33 fields in my index.
I didn't touch fields.yml
Do I have to define my own fields.yml to have a clean index fields list?

This is my filebeat.yml:

filebeat.inputs:
  - type: log
    enabled: true
    paths:
      - /var/log/stat/*.csv

setup.template:
  enabled: true
  name: "myIndex"
  pattern: "myIndex-*"
  overwrite: true

cloud.id: "xxxxxxxxxxxxxxxxx"
cloud.auth: "elastic:xxxxxxxxxxxxxxxxx"
output.elasticsearch:
  enabled: true
  index: "myIndex-%{[agent.version]}-%{+yyyy.MM.dd}"
  pipeline: "stat_csv_parser"
  indices:
    - index: "myIndex"
      mappings:
      default: "myIndex"

What would is the best approach to ingest csv from the upper sample?
Thank you in advance!

[shaunak (Shaunak Kashyap)]

What are the other 33 fields you are seeing in your index?

Shaunak

[urosz (uros)]

This is the first screen of Kibana index:

And one more:

[urosz (uros)]

Ok, I found a workaround.
Added "dynamic"=false to index creation lines.
But perhaps there is some better way with automated index creation