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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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
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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 could help.
Here are some links to things they mentioned:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
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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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
With special thanks to:
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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
With credit to:
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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
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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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
With credit to:
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:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
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Nikolay and Michael are joined by Franck Pachot to discuss SQL vs NoSQL — did Franck change teams by joining MongoDB, normalisation vs denormalisation, developer experience, NULLs, and more!
Here are some links to things they mentioned:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
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Postgres FM is produced by:
With special thanks to:
Nikolay and Michael return to the topic of BUFFERS for the third (and final?) time! They discuss the news that it'll be on by default with EXPLAIN ANALYZE in Postgres 18, and what effect that might have.
Here are some links to things they mentioned:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
~~~
Postgres FM is produced by:
With special thanks to:
Nikolay and Michael discuss a couple of surprising ways read queries (selects) can cause writes (shared buffers dirtied) in Postgres.
Here are some links to things they mentioned:
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What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!
~~~
Postgres FM is produced by:
With special thanks to:
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