On Mon, Sep 12, 2016 at 4:03 PM, Vinicius Segalin <vinisegalin@xxxxxxxxx> 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
Can you share some links to the papers you are referring to (assuming these are publicly available)?
Regards,
--
Alex
Alex
