HOT - Understanding This Important Update Optimization

Wednesday 5:00 PM - 5:25 PM

@ Wallstreet 2


25 minutes conference


Case Studies/Use cases, Developer

In this session, we will dive deep into HOT (Heap Only Tuple) update optimization. Utilizing this optimization can result in improved writes rates, less index bloat and reduced vacuum effort but to enable PostgreSQL to use this optimization may require changing your application design and database settings. We will examine how the number of indexes, frequency of updates, fill factor and vacuum settings can influence when HOT will be utilized and what benefits you may be able to gain.


Jim Mlodgenski

Jim Mlodgenski (Amazon Web Services)

Principal Engineer


Principal database engineer at Amazon Web Services, Co-Chair - PGConf US, Director - United States PostgreSQL, Co-organizer of Philly PUG & NYC PUG, former CTO at OpenSCG

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