MeiliSearch Errors

# MeiliSearch Errors

# `index_creation_failed`

An error occurred while trying to create an index, check out our guide on index creation (opens new window)

# `index_already_exists`

An index with this UID already exists, check out our guide on index creation (opens new window)

# `index_not_found`

An index with this UID was not found, check out our guide on index creation (opens new window)

# `invalid_index_uid`

There is an error in the provided index format, check out our guide on index creation (opens new window)

# `index_not_accessible`

An internal error occurred while trying to access the requested index.

# `invalid_state`

An error that occurs when the database is in an invalid state. Deleting the database and re-indexing should solve the problem.

# `missing_primary_key`

All documents must be identified with a unique key. MeiliSearch will try to infer the document field to use it as a primary key. If it can't infer it, the primary key must be specified manually, and this error is returned. See our guide on primary keys (opens new window).

# `primary_key_already_present`

This error is thrown when trying to modify the primary key of an index, when it has been already set. See guide on primary keys (opens new window).

# `max_fields_limit_exceeded`

The maximum number of fields for a document is 65,535. When this number is exceeded, this error is returned.

# `missing_document_id`

A document does not contain any value for the required primary key, and is thus invalid. Check documents in the current addition for the invalid ones.

# `invalid_facet`

The facet provided with the search is invalid. Check our guide on faceting (opens new window) to troubleshoot.

# `invalid_filter`

The filter provided with the search is invalid. Check our guide on filtering (opens new window) to troubleshoot.

# `bad_parameter`

The request contains invalid parameters, check the error message for more information.

# `bad_request`

The request is invalid, check the error message for more information.

# `document_not_found`

The requested document can't be retrieved. Either it doesn't exist, or the database was left in an inconsistent state.

# `internal`

MeiliSearch experienced an internal error. Check the error message, and open an issue if necessary.

# `invalid_token`

The provided token is invalid.

# `missing_authorization_header`

The requested resources are protected with an API key, that was not provided in the request header. Check our guide on authentication (opens new window) for more information.

# `missing_header`

A header is missing in the HTTP request.

# `not_found`

The requested resources could not be found.

# `payload_too_large`

The payload sent to the server was too large. Check out this guide (opens new window) to customize the maximum payload size accepted by MeiliSearch.

# `unretrievable_document`

The document exists in store, but there was an error retrieving it. This probably comes from an inconsistent state in the database.

# `search_error`

There was an error in the search.

# `unsupported_media_type`

The payload content type is not supported by MeiliSearch. Currently, MeiliSearch supports only JSON payloads.

# `dump_already_in_progress`

A dump creation is already in progress and a new one can't be triggered until the previous dump creation is not finished.

# `dump_process_failed`

An error occured during dump creation process, task aborted.