Norms store various normalization factors that are later used at query time in order to compute the score of a document relatively to a query.

Although useful for scoring, norms also require quite a lot of disk (typically in the order of one byte per document per field in your index, even for documents that don’t have this specific field). As a consequence, if you don’t need scoring on a specific field, you should disable norms on that field. In particular, this is the case for fields that are used solely for filtering or aggregations.

Norms can be disabled on existing fields using the update mapping API.

Norms can be disabled (but not reenabled after the fact), using the update mapping API like so:

response = client.indices.put_mapping(
  index: 'my-index-000001',
  body: {
    properties: {
      title: {
        type: 'text',
        norms: false
puts response
PUT my-index-000001/_mapping
  "properties": {
    "title": {
      "type": "text",
      "norms": false

Norms will not be removed instantly, but will be removed as old segments are merged into new segments as you continue indexing new documents. Any score computation on a field that has had norms removed might return inconsistent results since some documents won’t have norms anymore while other documents might still have norms.