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    Elasticsearch Module


    With the help of this extension, you can integrate the Elasticsearch engine into your Magento 2 (Adobe Commerce)web store. Elasticsearch is a highly scalable open-source full-text search engine. It allows you to store, search, and analyze big volumes of data very quicky. It is the fastest search engine that returns the results of the entered query in real-time.

    Note: Before installing this module, Elastic Search Engine v7.6 must be installed on the system and must be running.

    Watch the video tutorial below to understand the extension workflow:


    Features of Magento 2(Adobe Commerce Cloud) Elasticsearch

    • Admin can easily replace MySQL search engine with the elastic search engine.
    • Admin can easily update products, categories, and CMS page data to the elastic server.
    • The data is stored on the elastic server according to the Index Type.
    • Admin can also use a command-line tool to update website data to the elastic server.
    • The Admin can set Multi-Match Query or Simple Match Query as the search type for the Frontend.
    • If Multi-Match Query has been selected as the search type then the Customer can search data by name, SKU,  description, and a short description of the Product.
    • If Simple Match Query has been selected then the Customer can only find the Products by their name or SKU.
    • It also has the Spell Correction Feature according to which the search engine automatically corrects the keywords even if they are typed incorrectly.
    • The “Did you Mean” feature allows the customers to search for the products if they mistakenly entered the wrong product name? So, this feature will suggest to them all the products which have a nearby same product name.
    • Admin can select character filters to replace or remove unwanted characters from the search input.
    • The Admin can also Select Language Stemmer store-wise according to the store language.


    Installation of the module is super easy, you just need to move the app folder into the Magento root folder on the server as shown below in the snapshot.


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    After the successful installation, you have to run these commands in the Magento2 root directory.

    First command- php bin/magento setup:upgrade


    Second Command – php bin/magento setup:di:compile


    Third Command – php bin/magento setup:static-content:deploy5

    After running the commands, you have to log into the admin panel and you have to clear the Cache. You can refer to the below screenshot.


    Admin configuration of Magento 2 Elasticsearch

    So, after the successful installation of this extension on your web store, the admin will navigate through Stores>Configuration->Catalog->Catalog search->Search engine and then select “Webkul Elasticsearch”


    General Settings

    After the search engine has been selected as Webkul Elasticsearch then the Admin has to navigate through Stores->Configuration->Webkul->Elastic Search Setting->General Settings.


    Here the Admin has to enter/Select:-

    1. Elastic server host in the Host field.
    2. Port Number:- In order to configure the elastic server.
    3. Index Prefix:- As we are using elastic search server on multiple websites and if we use index prefix, then during the reindexing of that particular website data will not affect the data on other websites.
    4. Check Connection Status:- To check the current status of the elastic server.
    5. Reset Connection:- If you click on this option, then the current connection will be reset and the entire data will be removed from the current elastic server. The Admin needs to reindex it again by navigating to the ElasticSearch>IndexManagement to do it manually.

    Search Settings

    In the Search Settings, The Admin can select Multi-Match Query or Simple Match Query as a  search type for Frontend as shown below:

    admin1.Multi-Match Query

    If the search type selected is Multi-Match Query then the Customer can search the product by the attributes. It have been created by the Admin and the attribute type must be text.

    search settings

    Select Multi-Match Type

    Furthermore, the Admin can select Multi-Match Type as Best Fields, Most Fields, Cross Fields and Phrase and Phrase Prefix.  To learn more about Multi-Match Query, please go through the following link:

    Select Operator For Multi Search-  Admin can select “AND” or “OR” operator for Multi-Search.

    Minimum Should Match- The Admin can set minimum match percent to reduce low-quality matches in the search result.

    2. Simple Match Query

    If the search type selected is Simple Match Query then the Customer can search the product only by its name and SKU.


    Search Suggestion

    With the help of this feature, a Customer can search Categories, Pages or Products just by typing the Keywords.

    search sugg

    Did You mean

    This feature allows the customers to search for the products if they mistakenly entered wrong product name. So, this feature will suggest them all the products which have nearby same product name.

    Shown in below screenshot.


    Spell Correction in Search

    The Admin can also set the spell correction at Level 1 or Level 2, according to which the Elastic Search Engine automatically corrects the keywords, even if they are typed incorrectly by the Customer.


    Select Search Filters

    Furthermore, the Admin can select the token filters to modify the search term provided by the Customer. There are basically 4 types of search filters:

    1. Synonym Filter

    The Admin has to navigate through Marketing->Search Synonyms.


    From here Admin can add a new synonym group. For example, the admin has added synonyms jeans, pants, pant.

    synonym group

    Now if the Customer searches for any of these words the search engine will show all the results related to these words.


    2. Elision Filter- Token filter which removes elisions. For example, “l’avion” (the plane) will be tokenized as “avion” (plane).

    3. Lowercase Filter- A token filter of the type lowercase that normalizes token text to lower case.

    4. Stop Word Filter- This filter is used to filter Stop Words from the search query. For example and, is, to are some of Stop Words.

    To learn more about token filters please go through the following Link:

    Select Language Stemmer

    The Admin needs to select the correct Language Stemmer according to the Magento 2(Adobe Commerce Cloud) store language. For Example, if Store Language has been set as English, then the Customer can only search in the English Language.

    Select Character Search Filters

    These are the Character Filters that are used to remove unwanted characters from the search input. There are basically three types of character filters:


    1. HTML strip char filter- The HTML strip  character filter removes HTML elements with the ones selected by admin.
    2. Mapping Filter- The mapping filter is used to replace mapping keys with values. So it will remove any character from the mapping.
    3. Pattern Replace Filter- This filter works in the same way as Mapping Filter. The only difference is that it is used for replacing patterns instead of mapping. It uses a regular expression to replace characters.

    To learn more about the Character Filters, please go through the following link:

    Index Management

    Moreover, the Admin can navigate through Elastic Search->Index management.

    elastic indexes

    Here, the admin can also modify the Status of Index Type. The Admin can select either UPDATE ON SCHEDULE or UPDATE ON SAVE Mode for the Index Type. For example, if the Admin adds a new product, then he has to modify the Status of a Product Index Type.

    elastic index

    So, if the admin has to modify the big volume of data, then the admin can also use command line functions in the system.


    That’s all for the Magento 2(Adobe Commerce Cloud) Elasticsearch module, still, have any issues feel free to add a ticket and let us know your views to make the module better

    Current Product Version - 4.0.0-p1

    Supported Framework Version - Magento 2.0.x, 2.1.x, 2.2.x,2.3.x, 2.4.x

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