Version 2 will have a hypothetical partitioning feature that will let you evaluate different partitioning schemes without requiring you to actually partition your data. If you're still trying to evaluate whether partitioning is a good choice for your environment, keep an eye on the HypoPG project. If this is something critical to your environment, start planning your upgrades now! ![]() If you're looking for a partitioning system that handles any range type beyond just time & serial, the new native partitioning features in PostgreSQL 10+ are likely the best method for the foreseeable future. Feel free to post here no matter how minor you may feel your issue or question may be. Optional retention policy can automatically drop partitions no longer needed for both native and non-native partitioning.Ī background worker (BGW) process is included to automatically run partition maintenance without the need of an external scheduler (cron, etc) in most cases.īug reports & feature requests can be directed to the Issues section on Github - įor questions, comments, or if you're just not sure where to post, please use the Discussions section on Github. For native partitioning, the creation of a new partitioned parent must be done first and the data migrated over after setup is complete. For non-native partitioning, tables with existing data can have their data partitioned in easily managed smaller batches. ![]() For non-native, trigger function maintenance is also handled. Note that all the features of trigger-based partitioning are not yet supported in native, but performance in both reads & writes is significantly better.Ĭhild table creation is all managed by the extension itself. Native partitioning in PostgreSQL 10 is supported as of pg_partman v3.0.1 and much more extensively as of 4.0.0 along with PostgreSQL 11. ![]() Pg_partman is an extension to create and manage both time-based and serial-based table partition sets.
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