This content originally appeared on DEV Community and was authored by WebMeridian
The search engine of any eCommerce platform is arguably the essential part of the store. With an efficient search engine like Elasticsearch, customers can quickly locate everything they need on your platform. This boosts a positive customer experience and leads to an increase in sales.
What is Elasticsearch?
Elasticsearch is an open-source analytics and search engine. It is fast, efficient, and powerful enough to handle many searches at a time. It works by storing your data centrally and mapping them effectively. This enables it to locate and retrieve data efficiently and at high speed. It is even capable of full-text searches on an HTTPS interface.
Header Why use Elasticsearch in Magento 2?
If you want to boost the efficiency of your eCommerce store, you need a powerful search engine. It helps customers go around the store quickly and enables them to reach your products with ease. If you are an existing eCommerce store owner, you will understand that a laggy search engine would frustrate customers and reduce the number of products they open in your store. This will lead to the low conversion of the visitors to the site. However, with Elasticsearch, you get faster and more efficient searches.
Reindex
This is the synchronisation of data in Elasticsearch. It is used because data in Elasticsearch is always secondary. It works by rebuilding an index by using the stored data in the table of the index. In turn, it leads to the replacement of the old copy of the index. For Magento users, there are two different ways of creating the reindex. They are the full reindex and partial reindex. Partial reindex focuses only on the products that have been changed. Full reindex gives the developer freedom to trigger it manually via code.
Category View Page
A category view page allows you to sort the products in your store into groups. The feature will enable customers to filter the products they want to locate. Thanks to Elasticseach, Magento can quickly get the information of matching products to the query. Here, Magento sends the customers request to Elasticsearch. This is to find products with matching IDs. From the Elasticsearch results, Magento loads the products from the MySQL database. Then the products are displayed on the interface for the viewer.
Advanced Search
In as much as there is a quick search feature, an advanced search feature is also necessary. This feature is similar to the quick search feature, but it comes with some added search options. Here, the customer can add more search details such as price, size, colour, and more. It produces a finer and well-detailed search result. It works perfectly for users that know the specific product they are looking for.
Header GraphQL
GraphQL is one of the APIs used in Magento. It gives access to external systems to fetch Magento data. It also lets users request what they want in a single query. It works on a similar principle of searching for products directly at the store. Here clients are also allowed to request a unique data specification of their own. Here, bandwidth is saved and waterfall requests are reduced. Here, only the exact fields you need will bring results. The reduction in data transmitted helps to boost the performance of the site.
Header Search Suggestions
Search Suggestions helps users to find results better. It does not interfere with the leading search in any way. What it does is offer suggestions to the primary search of the user. It usually happens for a few reasons. One reason is as a result of a typographical error by the user. In this scenario, it displays the “Did you mean...” on the results page. It helps the user realise their mistake and show the correct product at the same time. In other scenarios, it happens when they are no results from the query. It then offers alternatives that are similar to the query and also available in the database.
Easy Steps to Configure Magento 2 Elasticsearch
Configuring Elasticsearch to work with Magneto is relatively easy. However, you have to follow the steps mentioned below to get the best results. Have a look at the steps.
This is the final step. Here, you are to turn on search suggestions and set up the number of suggestions and their results. Also, turn on search recommendations and set up the number of recommendations and their results. Then save your configuration.
Key Takeaways
So far, it is clear that Elasticsearch is a powerful tool that you need in your store. It is fast, efficient, and very reliable. However, the best part is that you can implement Elasticsearch with our full-stack web services. You can reach
out to us, and our professionals will help you get it all done!
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This content originally appeared on DEV Community and was authored by WebMeridian
WebMeridian | Sciencx (2021-10-07T08:02:20+00:00) How to Configure Elasticsearch in Magento 2. Retrieved from https://www.scien.cx/2021/10/07/how-to-configure-elasticsearch-in-magento-2/
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