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Administer WebSphere Commerce search

WebSphere Commerce search indexes are created separately based on a specific master catalog. After deploying the WebSphere Commerce search index, you can separately manage and rebuild each index to refresh its data. Performing a full re-indexing rebuilds the entire search index, while a delta re-indexing performs only incremental updates on the existing operational search index. Before deploying the index, consider the index-building scenarios, depending on the WebSphere Commerce search environment.


Index-building scenarios

WebSphere Commerce search consists of the following typical index-building scenarios:

The same operating system should be used across all search servers: that is, the source (master, staging) search server, target (slave, production) servers, and search server cluster.

Small index size: WebSphere Commerce production server, without a dedicated index-building machine

In the small index size scenario, the WebSphere Commerce production server profile and search production server profile are on the same machine. All data and index-building operations are performed on theĀ one existing production server. For example, consider the following flow:

  1. Update the WebSphere Commerce data in the WebSphere Commerce database.

  2. Build the search index.

  3. Execute searches against the updated search index.

Building the search index can be a timely process, and might therefore occasionally lead to inconsistencies between the database and search index. The runtime search performance is affected during index-building due to the added processing load on the machine.

The following diagram illustrates a typical WebSphere Commerce search deployment for a small index size:

Small index size deployment

Small or medium index size: WebSphere Commerce production server, with dedicated index-building machine

In the small or medium index size scenario, there typically exists a dedicated index-building machine, known as the master, to build the index. The index is then replicated to other search engine machines, known as production. The runtime search performance is not affected during the index-building.

Building the search index can still be a timely process, and might therefore occasionally lead to inconsistencies between the database and search index. However, the runtime search performance is not affected during index-building due to the offset of the processing load to another machine.

The following diagram illustrates a typical WebSphere Commerce search deployment for a small or medium index size:

Small or medium index size deployment

Recommended: Large index size: Staging and cluster search server

In the large index size scenario, the index-building is performed on the WebSphere Commerce staging database and search staging machine. Business users can test their new data in the staging database with the updated index. After successfully completing their tests, the data is propagated from the staging database to the production database, and the index is replicated from the search staging machine to the search production machines. This is the recommended approach, as this option imposes the least amount of risk to the production environment and provides a more flexible environment for making incremental changes.

The following diagram illustrates a typical WebSphere Commerce search deployment for a large index size:

Large index size deployment


Search administration flow

For a fully functioning WebSphere Commerce search implementation, understand and complete the search administration tasks involving deployment, management, and optionally replication.


Related concepts

WebSphere Commerce search

WebSphere Commerce search in starter stores


Related tasks

Work with search term associations to improve storefront search results

Work with search rules

Related reference

WebSphere Commerce search tutorials


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