It includes the eCommerce product and category images in the image folder of the application root. The search results show products and the category with these images. It will give an enriched UI output to the user.
advanced search form with php and mysql download pdf
Laravel Scout provides a simple, driver based solution for adding full-text search to your Eloquent models. Using model observers, Scout will automatically keep your search indexes in sync with your Eloquent records.
Currently, Scout ships with Algolia, MeiliSearch, and MySQL / PostgreSQL (database) drivers. In addition, Scout includes a "collection" driver that is designed for local development usage and does not require any external dependencies or third-party services. Furthermore, writing custom drivers is simple and you are free to extend Scout with your own search implementations.
Finally, add the Laravel\Scout\Searchable trait to the model you would like to make searchable. This trait will register a model observer that will automatically keep the model in sync with your search driver:
In addition, you should ensure that you install a version of meilisearch/meilisearch-php that is compatible with your MeiliSearch binary version by reviewing MeiliSearch's documentation regarding binary compatibility.
While not strictly required to use Scout, you should strongly consider configuring a queue driver before using the library. Running a queue worker will allow Scout to queue all operations that sync your model information to your search indexes, providing much better response times for your application's web interface.
Even when the queue option is set to false, it's important to remember that some Scout drivers like Algolia and Meilisearch always index records asynchronously. Meaning, even though the index operation has completed within your Laravel application, the search engine itself may not reflect the new and updated records immediately.
Each Eloquent model is synced with a given search "index", which contains all of the searchable records for that model. In other words, you can think of each index like a MySQL table. By default, each model will be persisted to an index matching the model's typical "table" name. Typically, this is the plural form of the model name; however, you are free to customize the model's index by overriding the searchableAs method on the model:
By default, the entire toArray form of a given model will be persisted to its search index. If you would like to customize the data that is synchronized to the search index, you may override the toSearchableArray method on the model:
Scout also allows you to auto identify users when using Algolia. Associating the authenticated user with search operations may be helpful when viewing your search analytics within Algolia's dashboard. You can enable user identification by defining a SCOUT_IDENTIFY environment variable as true in your application's .env file:
Enabling this feature this will also pass the request's IP address and your authenticated user's primary identifier to Algolia so this data is associated with any search request that is made by the user.
If your application interacts with small to medium sized databases or has a light workload, you may find it more convenient to get started with Scout's "database" engine. The database engine will use "where like" clauses and full text indexes when filtering results from your existing database to determine the applicable search results for your query.
By default, the database engine will execute a "where like" query against every model attribute that you have configured as searchable. However, in some situations, this may result in poor performance. Therefore, the database engine's search strategy can be configured so that some specified columns utilize full text search queries or only use "where like" constraints to search the prefixes of strings (example%) instead of searching within the entire string (%example%).
While you are free to use the Algolia or MeiliSearch search engines during local development, you may find it more convenient to get started with the "collection" engine. The collection engine will use "where" clauses and collection filtering on results from your existing database to determine the applicable search results for your query. When using this engine, it is not necessary to "index" your searchable models, as they will simply be retrieved from your local database.
On first glance, the "database" and "collections" engines are fairly similar. They both interact directly with your database to retrieve search results. However, the collection engine does not utilize full text indexes or LIKE clauses to find matching records. Instead, it pulls all possible records and uses Laravel's Str::is helper to determine if the search string exists within the model attribute values.
Once you have added the Laravel\Scout\Searchable trait to a model, all you need to do is save or create a model instance and it will automatically be added to your search index. If you have configured Scout to use queues this operation will be performed in the background by your queue worker:
Sometimes you may need to perform a batch of Eloquent operations on a model without syncing the model data to your search index. You may do this using the withoutSyncingToSearch method. This method accepts a single closure which will be immediately executed. Any model operations that occur within the closure will not be synced to the model's index:
When this configuration option is true, Scout will not remove soft deleted models from the search index. Instead, it will set a hidden __soft_deleted attribute on the indexed record. Then, you may use the withTrashed or onlyTrashed methods to retrieve the soft deleted records when searching:
If you need to perform advanced customization of the search behavior of an engine you may pass a closure as the second argument to the search method. For example, you could use this callback to add geo-location data to your search options before the search query is passed to Algolia:
If one of the built-in Scout search engines doesn't fit your needs, you may write your own custom engine and register it with Scout. Your engine should extend the Laravel\Scout\Engines\Engine abstract class. This abstract class contains eight methods your custom engine must implement:
If you would like to define a custom Scout search builder method, you may use the macro method on the Laravel\Scout\Builder class. Typically, "macros" should be defined within a service provider's boot method:
This program is FREEWARE with limitations, which means that there is a FREE version forpersonal and commercial use up to 10 users. It does not contain any advertising or popups. For commercial applications with more than 10 users there are commercialversions available with advanced features.
For Premium, download the latest version from Relevanssi.com and either upload the zip file using the WordPress plugin installation or unzip it and upload the files with FTP in the /wp-content/plugins/ directory.
Since WordPress expects the search results to be posts, Relevanssi needs to convert the user profiles to posts. That requires some changes in your search results template. the_permalink() should work in most cases, pointing to the user profiles. See User profile search for more information.
Punctuation controlBy default Relevanssi removes some punctuation completely and replaces the rest with spaces. These fields give you control over the most common punctuation types: ampersands, hyphens, dashes, apostrophes and quotes. You can define the behaviour for all of these classes. The correct settings depend on what kind of content you want to search, but the default values make sense in most cases.
Fallback to ORIf you have chosen AND as the default operator and the search finds no results, Relevanssi will perform an OR search with the same search terms. If you want to disable this, check this option.
Search some subsitesYou can add a comma-separated list of blog IDs to have all search forms on the site search these subsites. If a search form includes the searchblogs parameter, it will override this setting.
Custom search result snippetsTo have Relevanssi create custom excerpts highlighting the hits in searches, you need to enable this option. Relevanssi will then replace the post excerpt with something it has created on the fly (so the original post excerpt is overwritten, but only for the particular search, not permanently; also, the original excerpt is available in $post->original_excerpt).
Highlight from external searches (Premium only)Highlights search terms from external searches. Currently this feature works with Bing, Ask, Yahoo and AOL searches. Support for other search engines is available on request, but Google is not an option.
The breakdown formatIf you enabled the breakdown, this option determines what is shown. There are couple of keywords you can use: %body%, %title%, %tags% and %comments% show the number of hits in body, title, tags and comments. %total% shows the number of hits in total. %score% shows the relevancy score of the post. %terms% shows how many hits each search term has. Try and see how each one of these works, %score% and %terms% are the most interesting keywords in most cases.
Synonyms can be used to make search more powerful. If you have for example lots of abbreviations in your posts, but some posts use the non-abbreviated form, you can make those two synonyms for each other. Searching for one will find the other.
Can I create multiple search boxes with different setting? So on certain pages I want the search bar to be restricted to a set of categories, but for the search bar everywhere else I want it to search site-wide?
Generally no, but some themes block Relevanssi from working and need extra work. Checking whether Relevanssi is actually powering the search is one of the basic debugging steps if you have problems with Relevanssi. 2ff7e9595c