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HCL Commerce is a high-availability, highly scalable and customizable e-commerce platform. Able to support hundreds of thousands of transactions per day, HCL Commerce allows you to do business with consumers (B2C) or directly with businesses (B2B). HCL Commerce uses cloud friendly technology to make deployment and operation both easy and efficient. It provides easy-to-use tools for business users to centrally manage a cross-channel strategy. Business users can create and manage precision marketing campaigns, promotions, catalog, and merchandising across all sales channels. Business users can also use AI enabled content management capabilities.
Administering
Topics in the Administering category highlight tasks that are typically performed by the Site Administrator, to support daily operations of the HCL Commerce site.
Search
In keeping with HCL's commitment to current and open standards, HCL Commerce Search uses Apache Lucene as the basis of its Search framework. Lucene powers the Apache Solr search engine and the Elasticsearch search engine. The indexing pipeline is a more open, flexible and scalable and is tightly integrated with the data service. Using the underlying dataflow technology and architecture, you can easily customize the pipelines. This open-standards approach considerably eases the process of integrating Search with existing and third-party applications.
Solr -based solution
The Solr search index lifecycle includes tasks that you perform after HCL Commerce search is deployed. For example, building, replicating and propagating the search index, backing up and restoring the search index, and monitoring indexing activities across different search servers.
Populating and building the search index data
Populating and building the search index data includes the following tasks: building the search index, indexing site content, propagating the search index with the repeater, and setting up cache invalidation in the storefront.

Populating and building the search index data

Populating and building the search index data includes the following tasks: building the search index, indexing site content, propagating the search index with the repeater, and setting up cache invalidation in the storefront.

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