How to Optimize Elasticsearch Indexing for Multiple Entity Bindings in E-commerce?

Index Structure for Multiple Entity Bindings in ElasticSearch

Starting with a basic understanding of ElasticSearch (ES), you encounter the challenge of setting up an efficient index structure for your legacy e-commerce application that has a complex database structure with multiple entity bindings.

To address this challenge, consider flattening the database structure. This involves creating a single index for products that includes all necessary information, eliminating the N:M relationship between products and flags.

Product Index Mapping:

PUT products
{
    "mappings": {
        "product": {
            "properties": {
                "id": {
                    "type": "string",
                    "index": "not_analyzed"
                },
                "title": {
                    "type": "string"
                },
                "price": {
                    "type": "double",
                    "null_value": 0.0
                },
                "flags": {
                    "type": "string",
                    "index": "not_analyzed"
                }
            }
        }
    }
}

This mapping creates a product index with fields for id, title, price, and flags. The flags field is an array of strings representing the associated flags.

SQL Query for Data Retrieval:

To retrieve the product data and their associated flags, use the following SQL query:

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