# Proximity Precision Setting API

# 1. Summary

This specification describes the proximityPrecision index setting API endpoints.

# 2. Motivation

N/A

# 3. Functional Specification

# 3.1. Explanations

Let the users the possibility to lose a piece of Meilisearch relevancy to gain a lot of indexing speed and disk space. Changing this setting will impact the way Meilisearch calculate the proximity between the query words, this changes the behavior of the proximity ranking-rule, the phrase search, and the multi-word synonyms. There are 2 possible variants for this setting:

# 3.1.1. byWord

This variant is the default variant when the setting is not set.

Meilisearch will be precise when computing the proximity between words. It will calculate the distance as the minimal number of words in the document separating the queried words. This variant forces Meilisearch to compute and create a dedicated database to store the distance between words which impacts the indexing time.

# 3.1.2. byAttribute

Meilisearch will not be precise when computing the proximity between words. It will only calculate 2 degrees of distances,the queried words are considered close if they are in the same attribute, and will be considered far if there aren't. It will no more take into account the distance between words or their order in the query.

# 3.2. Global Settings API Endpoints Definition

proximityPrecision is a sub-resource of /indexes/:index_uid/settings.

See Settings API.

# 3.3. API Endpoints Definition

Manipulate the proximityPrecision setting of a Meilisearch index.

# 3.3.1. GET - indexes/:index_uid/settings/proximity-precision

Fetch the proximityPrecision setting of a Meilisearch index.

# 3.3.1.1. Response Definition
  • Type: String
  • Default: byWord
# 3.3.1.2. Errors
  • 🔴 Sending an invalid index uid format for the :index_uid path parameter returns an invalid_index_uid error.
  • 🔴 If the requested index_uid does not exist, the API returns an index_not_found error.

# 3.3.2. PUT - indexes/:index_uid/settings/proximity-precision

Modify the proximityPrecision setting of a Meilisearch index.

# 3.3.2.1. Request Payload Definition
  • Type: String / null

Setting null is equivalent to using the 3.3.3. DELETE - indexes/:index_uid/settings/proximity-precision API endpoint.

# 3.3.2.2. Response Definition

When the request is successful, Meilisearch returns the HTTP code 202 Accepted. The response's content is the summarized representation of the received asynchronous task.

See Summarized task Object for 202 Accepted.

# 3.3.2.3. Errors
# 3.3.2.3.1. Async Errors

Otherwise, Meilisearch will create the index in a lazy way. See 3.2.2.4. Lazy Index Creation.

# 3.3.2.4. Lazy Index Creation

If the requested index_uid does not exist, and the authorization layer allows it (See 3.3.2.3.1. Async Errors), Meilisearch will create the index when the related asynchronous task resource is executed. See 3.3.2.2. Response Definition.

# 3.3.3. DELETE - indexes/:index_uid/settings/proximity-precision

Reset the proximityPrecision setting of a Meilisearch index to the default value null.

# 3.3.3.1. Response Definition

When the request is in a successful state, Meilisearch returns the HTTP code 202 Accepted. The response's content is the summarized representation of the received asynchronous task.

See Summarized task Object for 202 Accepted.

# 3.3.3.3. Errors
  • 🔴 Sending an invalid index uid format for the :index_uid path parameter returns an invalid_index_uid error.
# 3.3.3.3.1. Asynchronous Index Not Found Error

# 3.3.4. General Errors

These errors apply to all endpoints described here.

# 3.3.4.1 Auth Errors

The auth layer can return the following errors if Meilisearch is secured (a master-key is defined).

  • 🔴 Accessing this route without the Authorization header returns a missing_authorization_header error.
  • 🔴 Accessing this route with a key that does not have permissions (i.e. other than the master-key) returns an invalid_api_key error.

# 4. Technical Details

# 4.1. Triggering Documents Re-Indexing

Meilisearch favors search speed and makes a trade-off on indexing speed by computing internal data structures to get search results as fast as possible.

Modifying this index setting cause documents to be re-indexed.