Which method is efficient and scalable because it uses the product search index rather than searching the database?

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The method that is efficient and scalable due to its use of the product search index is the retrieval of product search hits through the ProductSearchModel().getProductSearchHits() method. This approach is based on leveraging the search index, which is specifically optimized for quick querying and retrieval. Instead of directly querying the underlying database, which can be resource-intensive and slower, using the search index allows for faster responses, reduced load on the database, and improved performance, especially with large datasets.

Utilizing the product search index allows for optimized searching capabilities, returning results much quicker compared to traditional database lookups, particularly when dealing with a large number of products. Since the index is designed to facilitate efficient searching, it inherently supports scalability; as the number of products grows, the search index can handle increased load more efficiently.

In contrast, the other methods mentioned may involve direct interaction with the database, which is not as optimized for speed or scalability as the product search index. For instance, checking if a product is orderable or getting product variants might access underlying data structures directly, which can become a bottleneck in a high-traffic scenario. Thus, the method that utilizes the product search index is a preferred choice for efficient, scalable product searching in a commerce setting.

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