On 10/2/15 4:08 PM, Jonathan Vanasco wrote:
Using an even distribution as an example, the average width of the keys can
increase by 2 places:
Assuming you're using int4 or int8, then that doesn't matter. The only
other possible issue I can think of would be it somehow throwing the
planner stats off, but I think the odds of that are very small.
>Sequences are designed to be extremely fast to assign. If you ever did find a
single sequence being a bottleneck, you could always start caching values in each
backend. I think it'd be hard (if not impossible) to turn a single global sequence
into a real bottleneck.
I don't think so either, but everything I've read has been theoretical -- so I was hoping
that someone here can give the "yeah, no issue!" from experience. The
closest production stuff I found was via the BDR plugin (only relevant thing that came
up during search) and there seemed to be anecdotal accounts of issues with sequences
becoming bottlenecks -- but that was from their code that pre-generated allowable
sequence ids on each node.
You could always run a custom pg_bench that runs a PREPAREd SELECT
nextval() and compare that to a prepared SELECT currval(). You might
notice a difference at higher client counts with no caching, but I doubt
you'd see that much difference with caching turned on.
--
Jim Nasby, Data Architect, Blue Treble Consulting, Austin TX
Experts in Analytics, Data Architecture and PostgreSQL
Data in Trouble? Get it in Treble! http://BlueTreble.com
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