This article explains the characteristics of Paimon primary key tables, covering bucket selection, cross‑partition update issues, recommended record‑level expiration settings, and two approaches to handle file compaction, including configuration tweaks and dedicated compaction tasks.
Apache Paimon provides multiple table modes—including primary key tables with fixed or dynamic buckets, Append scalable and queue tables—each with specific configurations, compaction behavior, and suitable scenarios, and the article explains their structures, performance considerations, and how to use them with Flink.
This article explains how improper bucket and partition settings in Apache Doris can degrade read/write performance, provides quantitative guidelines for choosing bucket and partition counts, and introduces the automatic bucket feature with practical syntax and usage tips.
The proposed generic backup and disaster‑recovery framework introduces three business layers—backup data, DR retrieval, and dirty‑data cleanup—supporting both manual and scheduled backups, automatic or manual cleanup, pagination, bucketed delivery, sharding, and customizable filter chains to prevent large‑scale inconsistencies during failures.
