Magento 2 Elasticsearch

With the help of this extension, you can integrate Elasticsearch engine into your Magento 2 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 quickly. 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 must be installed on the system and must be running.

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

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:deploy

After running these three commands you have to run this command:

composer require elasticsearch/elasticsearch:~6.0

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.

After the successful installation of this extension on your web store, the admin will navigate through Stores>Configuration->Catalog->Catalog->Catalog search->Search engine->Elastic.

General Settings

After the search engine has been selected as Elastic then the Admin has to navigate through Stores->Configuration->Webkul->Elastic Search Setting->General Settings. Here the Admin has to enter elastic server host in the Host field and elastic server port in the Port Number field. After entering these two fields, the Admin can also check the Connection Status whether its working or not. You should be careful while clicking on Reset Connection option because 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.

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:

1.Multi-Match Query

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

Select Multi-Match Type

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:

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html

Select Operator For Multi Search-  The 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.

Allow 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

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.

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- A 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:

https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-tokenfilters.html

Select Language Stemmer

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

Select Search Filters

These are the Character Filters which 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 pattern instead of mapping. It uses a regular expression to replace characters.

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

https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-charfilters.html

The Admin has to navigate through Elastic Search->Index management.

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 Status of a Product Index Type.

Set Cron for Index Management

The Admin can set Cron for Index Management on a daily, weekly or monthly basis, and can also set time so that if any changes are made, then those changes are updated in the Elastic Search Engine according to set frequency and time.

If the Admin has to modify the big volume of data, then the Admin can also use command line functions in the system shown below:

That’s all for the Magento 2 Elasticsearch module, still, have any issue feel free to add a ticket and let us know your views to make the module better webkul.uvdesk.com.