This tutorial focuses on configuring a specific solution to index data using a local search engine. The setup process involves integrating various extensions to facilitate the indexing of content. The solution offers multiple methods for indexing post types, including real-time updates that occur immediately upon changes, batch processing that indexes all altered post types with a single action, and a scheduled approach where a preferred scheduler triggers an API to index modified content.
The tutorial elaborates on the features of the scheduled indexing method, detailing how to establish a cron job. It covers the selection of indexes, the choice between incremental and full indexing, and the option to delete existing data prior to indexing. Additionally, the process includes generating and invoking a JSON API for the cron job, along with setting up necessary security authentication.
The tutorial also highlights the ability to view the log properties associated with the cron job, providing insights into indexing times, errors encountered, the specific indexes involved, and the number of documents indexed for each. Furthermore, it addresses the management of potential conflicts that may arise during indexing, ensuring smooth operation even when multiple processes are running concurrently.
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