Re: Predicting query runtime - Mailing list pgsql-general

From Vinicius Segalin
Subject Re: Predicting query runtime
Date
Msg-id CAAeH1nBeFX6j=DL-fVy_ThiHhgaxx46fch5ADwaCkyA2Ng8FdQ@mail.gmail.com
Whole thread Raw
In response to Re: Predicting query runtime  (Oleksandr Shulgin <oleksandr.shulgin@zalando.de>)
List pgsql-general
2016-09-12 12:08 GMT-03:00 Oleksandr Shulgin <oleksandr.shulgin@zalando.de>:
On Mon, Sep 12, 2016 at 4:03 PM, Vinicius Segalin <vinisegalin@gmail.com> wrote:
Hi everyone,

I'm trying to find a way to predict query runtime (I don't need to be extremely precise). I've been reading some papers about it, and people are using machine learning to do so. For the feature vector, they use what the DBMS's query planner provide, such as operators and their cost. The thing is that I haven't found any work using PostgreSQL, so I'm struggling to adapt it.
My question is if anyone is aware of a work that uses machine learning and PostgreSQL to predict query runtime, or maybe some other method to perform this.

Hi,

I'm not aware of machine-learning techniques to achieve that (and I don't actually believe it's feasible), but there you might find this extension particularly useful: https://www.postgresql.org/docs/9.5/static/pgstatstatements.html  

I'll read about it and see how it can help me. Thank you
 
Can you share some links to the papers you are referring to (assuming these are publicly available)?

I don't have them all now, but these are some of them: 


pgsql-general by date:

Previous
From: Oleksandr Shulgin
Date:
Subject: Re: Predicting query runtime
Next
From: Patrick B
Date:
Subject: Re: 2.5TB Migration from SATA to SSD disks - PostgreSQL 9.2