| From: | Julien Rouhaud <rjuju123(at)gmail(dot)com> |
|---|---|
| To: | legrand legrand <legrand_legrand(at)hotmail(dot)com> |
| Cc: | pgsql-hackers <pgsql-hackers(at)postgresql(dot)org> |
| Subject: | Re: [survey] New "Stable" QueryId based on normalized query text |
| Date: | 2019-03-20 22:56:07 |
| Message-ID: | CAOBaU_Yypcom2VxW4mEizx+wAzRdgsn-1jGyZH8seKiLxQNyxQ@mail.gmail.com |
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| Lists: | pgsql-hackers |
On Wed, Mar 20, 2019 at 11:10 PM legrand legrand
<legrand_legrand(at)hotmail(dot)com> wrote:
>
> Thank you Julien for the workaround,
> It is not easy to build "cross tables" in excel to join metrics per query
> text ...
then keep only one queryid over all environments, that's easy enough in SQL:
SELECT min(queryid) OVER (partition by query ORDER BY environment),
... FROM all_pg_stat_statements
if you have your environment named like 0_production,
1_preproduction... you'll get the queryid from production. Once
again, that's not ideal but it's easy to deal with it when consuming
the data.
> and I'm not ready to build a MD5(query) as many query could lead to the same
> QueryId
I'd be really surprised if you see a single collision in your whole
life, whatever pg_stat_statements.max you're using. I'm also pretty
sure that the collision risk is technically higher with an 8B queryId
field rather than a 16B md5, but maybe I'm wrong.
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