Example: Enrich your data based on exact values

match enrich policies match enrich data to incoming documents based on an exact value, such as a email address or ID, using a term query.

The following example creates a match enrich policy that adds user name and contact information to incoming documents based on an email address. It then adds the match enrich policy to a processor in an ingest pipeline.

Use the create index API or index API to create a source index.

The following index API request creates a source index and indexes a new document to that index.

PUT /users/_doc/1?refresh=wait_for
{
    "email": "mardy.brown@asciidocsmith.com",
    "first_name": "Mardy",
    "last_name": "Brown",
    "city": "New Orleans",
    "county": "Orleans",
    "state": "LA",
    "zip": 70116,
    "web": "mardy.asciidocsmith.com"
}

Use the put enrich policy API to create an enrich policy with the match policy type. This policy must include:

  • One or more source indices
  • A match_field, the field from the source indices used to match incoming documents
  • Enrich fields from the source indices you’d like to append to incoming documents
PUT /_enrich/policy/users-policy
{
    "match": {
        "indices": "users",
        "match_field": "email",
        "enrich_fields": ["first_name", "last_name", "city", "zip", "state"]
    }
}

Use the execute enrich policy API to create an enrich index for the policy.

POST /_enrich/policy/users-policy/_execute

Use the put pipeline API to create an ingest pipeline. In the pipeline, add an enrich processor that includes:

  • Your enrich policy.
  • The field of incoming documents used to match documents from the enrich index.
  • The target_field used to store appended enrich data for incoming documents. This field contains the match_field and enrich_fields specified in your enrich policy.
PUT /_ingest/pipeline/user_lookup
{
  "description" : "Enriching user details to messages",
  "processors" : [
    {
      "enrich" : {
        "policy_name": "users-policy",
        "field" : "email",
        "target_field": "user",
        "max_matches": "1"
      }
    }
  ]
}

Use the ingest pipeline to index a document. The incoming document should include the field specified in your enrich processor.

PUT /my_index/_doc/my_id?pipeline=user_lookup
{
  "email": "mardy.brown@asciidocsmith.com"
}

To verify the enrich processor matched and appended the appropriate field data, use the get API to view the indexed document.

GET /my_index/_doc/my_id

The API returns the following response:

{
  "found": true,
  "_index": "my_index",
  "_type": "_doc",
  "_id": "my_id",
  "_version": 1,
  "_seq_no": 55,
  "_primary_term": 1,
  "_source": {
    "user": {
      "email": "mardy.brown@asciidocsmith.com",
      "first_name": "Mardy",
      "last_name": "Brown",
      "zip": 70116,
      "city": "New Orleans",
      "state": "LA"
    },
    "email": "mardy.brown@asciidocsmith.com"
  }
}