- wöchentlichErscheinungsrhythmus
- 46 mintypische Länge
- 30. Okt.letzte Folge
Folgenzu den neuesten
Tens of TB per hour
Nik talks Michael through a recent benchmark he worked with Maxim Boguk on, to see how quickly they could provision a replica. Here are some links to things they mentioned: • Ultra-fast replica creation with pgBackRest (blog post by Maxim B
Gapless sequences
Nik and Michael discuss the concept of gapless sequences — when you might want one, why sequences in Postgres can have gaps, and an idea or two if you do want them. And one quick clarification: changing the CACHE option in CREATE SEQUENCE c
LWLocks
Nik and Michael discuss lightweight locks in Postgres — how they differ to (heavier) locks, some occasions they can be troublesome, and some resources for working out what to do if you hit issues. Here are some links to things they mentione
User management
Nik and Michael discuss user management in Postgres — how roles work, making administration easier, setting passwords, and avoiding them being logged. Here are some links to things they mentioned: • Roles https://www.postgresql.org/docs/cur
Postgres 18
Nik and Michael discuss the newly released Postgres 18 — the bigger things it includes, some of their personal highlights, and some thoughts towards the future. Here are some links to things they mentioned: • Postgres 18 announcement https:
Gadget's use of Postgres
Nik and Michael are joined by Harry Brundage from Gadget to talk about their recent zero-downtime major version upgrade, how they use Postgres more generally, their dream database, and some challenges of providing Postgres as an abstracted
turbopuffer
Nik and Michael are joined by Simon Eskildsen from turbopuffer — among other things, they discuss ANN index types, tradeoffs that can make sense for search workloads, and when it can make sense to move search out of Postgres. Here are some
When not to use Postgres
Nik and Michael discuss when not to use Postgres — specifically use cases where it still makes sense to store data in another system. Here are some links to things they mentioned: • Just use Postgres (blog post by Ethan McCue) https://mccue
Disks
Nik and Michael discuss disks in relation to Postgres — why they matter, how saturation can happen, some modern nuances, and how to prepare to avoid issues. Here are some links to things they mentioned: • Nik’s tweet demonstrating a NOTIFY
Multi-column indexes
Nik and Michael discuss multi-column indexes in Postgres — what they are, how to think about them, and some guidance around using them effectively. Here are some links to things they mentioned: • Multicolumn Indexes (docs) https://www.postg
Self-driving Postgres
Nikolay and Michael discuss self-driving Postgres — what it could mean, using self-driving cars as a reference, and ideas for things to build and optimize for in this area. Here are some links to things they mentioned: • Nikolay’s blog post
caSe-inSENsiTive
Nikolay and Michael discuss case-insensitive data — when we want to treat columns as case-insensitive, and the pros and cons of using citext, functions like lower(), or a custom collation. Here are some links to things they mentioned: • cit
Monitoring from Postgres AI
Nikolay talks to Michael about Postgres AI's new monitoring tool — what it is, how its different to other tools, and some of the thinking behind it. Here are some links to things they mentioned: • postgres_ai monitoring https://gitlab.com/p
MultiXact member space exhaustion
Nikolay and Michael are joined by Andrew Johnson and Nate Brennand from Metronome to discuss MultiXact member space exhaustion — what it is, how they managed to hit it, and some tips to prevent running into it at scale. Here are some links
Multigres
Nikolay and Michael are joined by Sugu Sougoumarane to discuss Multigres — a project he's joined Supabase to lead, building an adaptation of Vitess for Postgres! Here are some links to things they mentioned: • Sugu Sougoumarane https://post
Multi-tenant options
Nikolay and Michael are joined by Gwen Shapira to discuss multi-tenant architectures — the high level options, the pros and cons of each, and how they're trying to help with Nile. Here are some links to things they mentioned: • Gwen Shapira
Mean vs p99
Nikolay and Michael discuss looking at queries by mean time — when it makes sense, why ordering by a percentile (like p99) might be better, and the merits of approximating percentiles in pg_stat_statements using the standard deviation colum
What to log
Nikolay and Michael discuss logging in Postgres — mostly what to log, and why changing quite a few settings can pay off big time in the long term. Here are some links to things they mentioned: • What to log https://www.postgresql.org/docs/c
How to move off RDS
Nikolay and Michael discuss moving off managed services — when and why you might want to, and some tips on how for very large databases. Here are some links to things they mentioned: • Patroni https://github.com/patroni/patroni • pgBackRest
Locks
Nikolay and Michael discuss heavyweight locks in Postgres — how to think about them, why you can't avoid them, and some tips for minimising issues. Here are some links to things they mentioned: • Locking (docs) https://www.postgresql.org/do
Top ten dangerous issues
Nikolay and Michael discuss ten dangerous Postgres related issues — ones that might be painful enough to get onto the CTO and even CEOs desk, and then what you can do proactively. The ten issues discussed are: • Heavy lock contention • Bloa
synchronous_commit
Nikolay and Michael discuss synchronous_commit — what it means on single node setups, for synchronous replication setups, and the pros and cons of the different options for each. Here are some links to things they mentioned: • synchronous_c
Managed service support
Nikolay and Michael discuss managed service support — some tips on how to handle cases that aren't going well, tips for requesting features, whether to factor in support when choosing service provider, and whether to use one at all. Here ar
Time-series considerations
Nikolay and Michael discuss time-series considerations for Postgres — including when it matters, some tips for avoiding issues, performance considerations, and more. Here are some links to things they mentioned: • Time series data https://e
Performance cliffs
Nikolay and Michael are joined by Tomas Vondra to discuss single query performance cliffs — what they are, why they happen, some things we can do to make them less likely or less severe, and some potential improvements to Postgres that coul
PgDog
Nikolay and Michael are joined by Lev Kokotov to discuss PgDog — including whether or when sharding is needed, the origin story (via PgCat), what's already supported, and what's coming next. Here are some links to things they mentioned: • L
Snapshots
Nikolay talks Michael through using cloud snapshots — how they can be used to reduce RTO for huge Postgres setups, also to improve provisioning time, and some major catches to be aware of. Here are some links to things they mentioned: • Sna
GIN Indexes
Nikolay and Michael discuss GIN indexes in Postgres — what they are, what they're used for, and some limitations to be aware of. Here are some links to things they mentioned: • GIN Indexes https://www.postgresql.org/docs/current/gin.html •
Best Practices
Nikolay and Michael use a recent "best practices" article as a prompt — giving a few tips each on the topics mentioned, like schema design, performance, backups, and more. Here are some links to things they mentioned: • 7 Crucial PostgreSQL
Extended Statistics
Nikolay and Michael discuss the CREATE STATISTICS feature in Postgres — what it's for, how often it's used, and how to spot cases where it would help. Here are some links to things they mentioned: • CREATE STATISTICS https://www.postgresql.
