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I have an application stored measurements data in PostgreSQL-12. Couple of processes write data by queries like:

INSERT INTO "<measurement>" (<columns>) VALUES (<values>);

But for some reason the "<measurement>" table was not created, and I got errors like:

ERROR:  relation "<measurement>" does not exist at character 13

The question is: Does massive errors count affect the DB performance?

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  • Why would it - it's just a one-off error? Run a (longish) query a couple of times, get a timing, then run your query where a table doesn't exist and then rerun your longish query a couple of times and compare the timings - I seriously doubt if there'll be a significant difference between the before and the after! – Vérace May 12 '20 at 10:08
  • Thank you @Vérace. Will try it – Slava Rozhnev May 12 '20 at 10:27
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Does massive errors count affect the DB performance?

Not really.

It will make the error log [a bit] larger, because each error gets written there, but that should be trivial in size compared to the database itself. Each of those writes to the log will take [some] time, but not a great deal.

What will get noticed is that the Application trying to execute these statements is failing to do so.
Each of those failures is losing company Data.
That matters.

At some point, the Development team for the Application will get involved and they may well start throwing rocks in your direction because there's a table missing from the database. Be prepared for the question: "Whose responsibility was it to create that table in the first place?"

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