This document summarizes Grand Unified Configuration (GUC) parameters in PostgreSQL. It describes how GUC parameters can be modified, the contexts in which modifications can be reverted, and how to view current parameter settings and sources using pg_settings. It provides examples of modifying parameters at different scopes like system-wide, database-level, and for individual users.
29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
This document summarizes Grand Unified Configuration (GUC) parameters in PostgreSQL. It describes how GUC parameters can be modified, the contexts in which modifications can be reverted, and how to view current parameter settings and sources using pg_settings. It provides examples of modifying parameters at different scopes like system-wide, database-level, and for individual users.
29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
This document discusses the application of PostgreSQL in a large social infrastructure project involving smart meter management. It describes three main missions: (1) loading 10 million datasets within 10 minutes, (2) saving data for 24 months, and (3) stabilizing performance for large scale SELECT statements. Various optimizations are discussed to achieve these missions, including data modeling, performance tuning, reducing data size, and controlling execution plans. The results showed that all three missions were successfully completed by applying PostgreSQL expertise and customizing it for the large-scale requirements of the project.