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ElasticSearch Implementation Magento 2

ElasticSearch Implementation Magento 2

What is Elasticsearch?

Elasticsearch is a powerful, scalable, and highly extensible search engine widely used by large websites. When integrated with Magento 2, it provides fast search results, autocomplete suggestions, search recommendations, and improves overall store performance.

Magento Elasticsearch Architecture

Elasticsearch powers Magento’s storefront search, indexing, layered navigation, and product filtering.

Features of Elasticsearch

1) Advanced Typing Error Correction

Fuzzy Search: Detects close matches (e.g., “sweetshirt” → “sweatshirt”).

Phonetic Search: Suggests items with similar pronunciation (e.g., “llaguing” → “leggings”).

2) Alternative Suggestions

Displays the closest matching results when no exact match is found.

3) Multilingual Full-Text Website Search

4) Support for Alternate Keywords & Ignored Words

5) Full Control Over Sorting Search Results

6) Synonym-Based Search

Example: “Men” = “Man”, “Blue” = “Denim”.

7) Auto-Detect & Ignore Stop Words

Words like “and”, “or”, “to”, “for” are ignored to improve accuracy and performance.

Elasticsearch Highlights

  • Search optimization
  • Search autocomplete
  • Synonyms & thesaurus management
  • Advanced price slider
  • Multi-select layered navigation
  • Auto spell checking
  • Redirect if only one result is found
  • Custom filters
  • Supports multiple languages
  • Real-time analytics

Creating Custom Index on Elasticsearch

This describes how to create a custom Elasticsearch index using Magento 2 custom tables.

Files Required:

  1. indexer.xml – Registers custom indexer name and PHP class.
  2. mview.xml – Tells Magento when to re-index based on table changes.
  3. Indexer PHP file – Creates ES index and pushes table rows.

Custom Search on Elasticsearch

Create an Elasticsearch client instance and specify:

  • Index name
  • Index type
  • Query type and fields
  • Result size

Elasticsearch REST API Commands (cURL)

curl -X GET 'http://localhost:9200/_cat/indices?v'
curl -X GET 'http://localhost:9200/custom_index/_search'
curl -X GET 'http://localhost:9200/custom_index/_search?q=content:faq'
curl -X GET --header 'Content-Type: application/json' \
'http://localhost:9200/custom_index/_search' \
-d '{ "query": { "match": { "content": "faq" } } }'
curl -X PUT --header 'Content-Type: application/json' \
'http://localhost:9200/custom_index/_doc/2' \
-d '{ "content": "testing" }'
curl -X POST --header 'Content-Type: application/json' \
'http://localhost:9200/custom_index/_doc/2/_update' \
-d '{ "doc": { "testing": 50000 } }'
curl -X DELETE 'http://localhost:9200/custom_index'

Conclusion

Elasticsearch is a fast, scalable search and analytics engine ideal for eCommerce, log analysis, recommendation engines, and enterprise search. Its speed, flexibility, and advanced search features make it perfect for Magento stores handling large datasets and complex queries.