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In this episode of Scaling Postgres, we discuss how best to migrate to using partitions, like & ilike performance, determining the best fillfactor and the work towards in-memory tables. Subscribe at https://www.scalingpostgres.com to get notified of new episodes. Links for this episode: https://www.2ndquadrant.com/en/blog/partitioning-a-large-table-without-a-long-running-lock/ https://www.cybertec-postgresql.com/en/postgresql-more-performance-for-like-and-ilike-statements/ https://www.cybertec-postgresql.com/en/what-is-fillfactor-and-how-does-it-affect-postgresql-performance/ https://www.highgo.ca/2020/07/24/approaches-to-achieve-in-memory-table-storage-with-postgresql-pluggable-api/ https://www.2ndquadrant.com/en/blog/webinar-being-committed-a-review-of-transaction-control-statements-1-3-follow-up/ https://www.enterprisedb.com/blog/monitoring-postgresql-database-system-activities-performance-system-stats-extension https://www.enterprisedb.com/blog/maintaining-postgresql-for-high-performance-what-is-wrong-or-right-what-consider https://www.2ndquadrant.com/en/blog/unicode-normalization-in-postgresql-13/ https://www.2ndquadrant.com/en/blog/how-to-monitor-postgresql-12-performance-with-omnidb-part-2/ https://www.2ndquadrant.com/en/blog/barman-2-11-barman-cloud-restore-and-barman-cloud-wal-restore/ https://pgsqlpgpool.blogspot.com/2020/07/snapshot-isolation-mode.html https://postgresql.life/post/umair_shahid/ |