Podcast
Questions and Answers
What is a primary capability provided by the Field Boosting table?
What is a primary capability provided by the Field Boosting table?
Which of the following is a method to filter search results by warehouse data?
Which of the following is a method to filter search results by warehouse data?
Which action is NOT part of extending Elasticsearch document types in Optimizely Configured Commerce?
Which action is NOT part of extending Elasticsearch document types in Optimizely Configured Commerce?
What is necessary to make a custom property queryable in the Field Boosting table?
What is necessary to make a custom property queryable in the Field Boosting table?
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Which of the following is a valid way to extend custom search capabilities in Optimizely?
Which of the following is a valid way to extend custom search capabilities in Optimizely?
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Study Notes
Search Extensions
- Optimizely Configured Commerce supports extending Elasticsearch document types
- Product types are the only supported extension types
- Examples include:
- Adding a new field for custom sorting on category pages
- Adding custom SQL to the indexer to retrieve data into Elasticsearch
- Sorting on custom data in the RunProductSearch pipeline
- Filtering search results by the current warehouse
- Adding custom warehouse data to the index
- Filtering on the warehouse data in the FormProductFilter pipeline
Extending Search Functionality
- Beyond default data and business logic, extensions can be used for:
- Synonyms
- Field Boosting table
- Product and category custom properties
- Custom search pipelines using C# coding and the NEST.NET client for Elasticsearch API interaction
Field Boosting
- Access the Field Boosting table by navigating to Search > Field Boosting
- Enable 'Show Non-Queryable Fields' to view all fields
- Set 'Queryable' to 'Yes' for desired properties
- Re-index after making changes
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Description
This quiz explores the concepts and methods for extending search functionality within Optimizely Configured Commerce. It covers Elasticsearch document types, product types, and various techniques for improving search results. Test your knowledge on implementing custom search pipelines and field boosting techniques.