3 best practices for using and troubleshooting the Reindex API

The blog post by Camilo Sierra provides a comprehensive guide on utilizing and troubleshooting the Reindex API in Elasticsearch, emphasizing its versatility in transferring data between clusters, updating mappings, processing data through ingestion pipelines, and optimizing storage. It addresses common issues such as timeouts and connection problems, offering solutions like using the _task API to monitor operations and setting the "wait_for_completion=false" parameter for longer tasks. The post also highlights strategies for resolving reindex conflicts, ensuring cluster stability, and managing document ID conflicts during data merging. Additionally, it introduces alternative methods like the snapshot-restore API for data transfer and runtime fields for schema adjustments, offering a robust framework for effective data management in Elasticsearch environments.