Optimizing the integration between Couchbase and Elasticsearch, this piece discusses implementing custom routing to improve search performance. It highlights the benefits of routing queries based on itemNumbers, which reduces query scope, speeds up search operations, and efficiently uses resources. The post explains how to handle changes to itemNumbers, ensuring documents are correctly routed. Key insights from load testing reveal significant performance enhancements with custom routing, achieving faster query response times and higher query volumes.
Table of contents
Optimizing Elasticsearch with Custom Routing and Handling Routing Value ChangesCouchbase and Elasticsearch IntegrationElasticsearch’s Distributed Search ModelWhat is Routing in Elasticsearch?Domain Terms: Understanding Our Problem SpaceWhy itemNumber Routing Improves Search PerformanceThe Problem: Changing itemNumber and RoutingThe Key Issue: Document Movement Across ShardsThe Solution: Search Before IndexingThe Solution: Delete Document for all shards Before IndexingHow the delete operation hits all shardsElasticsearch’s Immutable Document ModelHow Deletes Work InternallyExamining the Impact of Consecutive Delete and Index OperationsLoad Testing Results: The Impact of Custom RoutingObservationsConclusionAbout UsSort: