Research on Synchronous Optimization for Data Loss and Data Consistency Based on Elasticsearch

This paper delves into the issues of data loss during ingestion and data consistency encountered in Elasticsearch's big data processing, and proposes a synchronous optimization solution for data loss to ensure data consistency. Through an indepth analysis of Elasticsearch's write mechanism, data replication strategy, and transaction logs, an effective scheme for data loss synchronization and consistency is designed. Experimental results demonstrate that this scheme can significantly reduce the data loss rate, enhance data consistency, and improve system reliability.