Getting Validation Failed: 1: mapping type is missing when making a text field aggregatable

Elastic Stack Elasticsearch
1

I am new to Elasticsearch and using 6.7

I am trying to make a text field aggregatabe in an existing index.

type": "action_request_validation_exception",
"reason": "Validation Failed: 1: mapping type is missing;"

PUT /my_index/_mappings
{
		"properties": {
		  "_doc":{
		  "colType": {
			"type": "text",
			"fields": {
			  "keyword": { 
				"type":  "keyword"
			  }
			}
		  }
		}
		}
}
2

Can you try with:

PUT /my_index/_mapping/_doc
{
		"properties": {
		  "colType": {
			"type": "text",
			"fields": {
			  "keyword": { 
				"type":  "keyword"
			  }
			}
		  }
	}
}

Documentation

Please be aware you need to reindex.

Sorry for the formatting, I am on mobile.

1 Like
3

Thank you for the quick respone , but now I get this error .
Mapper for [colType] conflicts with existing mapping in other types:\n[mapper [colType] has different [analyzer]]

Just to add analyze is defined as "keyword" for this field.

4

Can you share the output of GET my_index?

5

{
"test" : {
"aliases" : { },
"mappings" : {
"_doc" : {
"properties" : {
"colType" : {
"type" : "text",
"analyzer" : "keyword"
},
"field1" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword"
}
}
}
}
}
},
"settings" : {
"index" : {
"creation_date" : "1587762638106",
"number_of_shards" : "1",
"number_of_replicas" : "1",
"uuid" : "xxxxxxxxxxx", // masked the UUID
"version" : {
"created" : "6070099"
},
"provided_name" : "test"
}
}
}
}

6

Thanks!

So you can use:

PUT /test/_mapping/_doc
{
  "properties": {
    "colType": {
      "type": "text",
      "analyzer": "keyword",
      "fields": {
        "keyword": {
          "type": "keyword"
        }
      }
    }
  }
}

BUT you will need to update all the documents in the index to be sure the documents get the colType.keyword field filled.

If your index hasn't a lot of documents you can proceed with:

POST test/_update_by_query
{
  "query": {
    "match_all": {}
  }
}

If the index is huge, it might be preferable to do a reindex into another index.

If you're using Kibana, do not forget to refresh your index pattern.

7

This solved my problem . Thanks for the help

1 Like
8

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.