Full-Text Search
The Search Query
Unlike the traditional where()->get()
method which operates on specific fields, the search method is designed to perform a full-text search across multiple fields, offering a broader search scope.
Term Search: term()
To search for a single term across all fields in an index:
Search for ‘Eric’ across all fields
Multiple Terms
Combining terms with logical operators (AND/OR):
Search for books that contain ‘Eric’ or both ‘Lean’ and ‘Startup’
Phrase Search: phrase()
A phrase is a sequence of words that must appear in the same order as the search query. This is useful for finding exact matches or specific sequences of words.
To search for a phrase across all fields in an index:
Search for the phrase ‘Lean Startup’ across all fields
Multiple Phrases
Combining phrases with logical operators (AND/OR):
orPhrase($phrase)
: Searches for documents containing either the original phrase or the specified phrase.
Search for books that contain either ‘United States’ or ‘United Kingdom’, phrases like ‘United Emirates’ will not be included.
andPhrase($phrase)
: Searches for documents containing both the original phrase and the specified phrase.
Search for books that contain both ‘Lean Startup’ and ‘Eric Ries’
Boosting Terms
Boosting enhances the relevance score of certain terms:
‘Eric’ is boosted, making it more significant in the search results. The term Lean AND Startup are searched for independently (Not the phrase ‘Lean Startup’).
Searching Selected Fields
Limiting the search to specific fields:
Search only within the ‘title’, ‘author’, and ‘description’ fields
Minimum Should Match
Configures the minimum amount of terms that are required to match
Requires at least 2 of the 3 terms to match in the specified fields
Minimum Score
Sets a minimum relevance score for results:
Only includes results with a score higher than 2.1
Combining Search with Eloquent Queries
Search queries can be blended with standard Eloquent queries:
Combines a full-text search with a filter on the ‘is_active’ field
Fuzzy Searches
Fuzzy searches allow for matching terms that are similar to the search term:
Performs a fuzzy search to account for minor typos or variations
Regular Expressions
Leverage Elasticsearch’s support for regex in your searches:
Highlighting
Highlighting allows you to display search results with the matched terms highlighted:
highlight($fields = [], $preTag = '<em>', $postTag = '</em>', $globalOptions = [])
The highlighted
results are stored in the model’s metadata and can be accessed via a built-in model attribute using:
$model->searchHighlights
: returns on object with the found highlights for each field.$model->searchHighlightsAsArray
: returns an associative array with the found highlights for each field.
The values of the highlights are always in an array, even if there is only one fragment.
Search for products containing ‘espresso’ in any field. All hits on espresso
will be stored in the highlights metadata as an array under the field where the hit occurred.
You can filter the fields to highlight:
Search for products containing ‘espresso’ in any field. Only hits on espresso
in the description
field will highlighted and wrapped in strong
tags. All results will be returned.
Search for products containing ‘espresso’ in any field. Hits on espresso
in the name
field will be highlighted with a primary color, hits in the description
field will be highlighted with a secondary color, and any hits in the manufacturer.name
field will be highlighted with a sky color.
Global options can be set for all fields:
Search for products containing ‘espresso’ in any field. A maximum of 3 fragments will be returned for each field, with each fragment being a maximum of 150 characters long.
$model->withHighlights->field
This built in attribute will get all the model’s data, parse any user defined mutators, then overwrite any fields that have highlighted data. This is useful when you want to display the highlighted data in a view.