CODEWITHSUNDEEP
pythonindexingelasticsearchmapping
iceman
iceman

Reputation: 41

Creating analyzed and not_analyzed index on all fields in Elasticsearch

Im pretty new to Elasticsearch. I have a requirement of creating ALL string fields with an "analyzed" and "not_analyzed" index. I have been able to do it for 1 or 2 fields, but how can I do this if I have 50 fields in my document? I have used the following code to create such an index on a few fields:

mapping = {
    "my_type": {
        "properties": {
            "random_num": {"type": "string"},
            "category": { "type":"multi_field", "fields":{ "category":{ "type":"string", "index":"analyzed" },"untouched":{ "type":"string", "index":"not_analyzed" } } },
            "url": {"type": "string"},
            "id": {"type": "string"},
            "desc": { "type":"multi_field", "fields":{ "desc":{ "type":"string", "index":"analyzed" },"untouched":{ "type":"string", "index":"not_analyzed" } } }
        }
    }
}

I would really appreciate it if some one could help me out with this. Thanks!

Upvotes: 1

Views: 1893

Answers (1)

Vineeth Mohan
Vineeth Mohan

Reputation: 19253

You can go through the document here. Using dynamic index templates , you can add rules like below and achienve the same. In the following example , I have enabled an additional field called raw ONLY if the size is less than 256 which would be not_analyzed. 

{
  "mappings": {
    "my_type": {
      "dynamic_templates": [
        {
          "string_fields": {
            "mapping": {
              "type": "string",
              "fields": {
                "raw": {
                  "index": "not_analyzed",
                  "ignore_above": 256,
                  "type": "string"
                }
              }
            },
            "match_mapping_type": "string",
            "match": "*"
          }
        }
      ]
    }
  }
}

Upvotes: 1

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