Re: Specific query taking time to process
Michael Lewis <[email protected]> Wed, 11 Dec 2019 13:09:19 -0700
| Newsgroups | gmane.comp.db.postgresql.performance |
|---|---|
| Message-ID | <CAHOFxGqxRD-=4+GD4egx7r421thgugxHBN-VNAVLi4D5D=sD7w@mail.gmail.com> |
--000000000000c3e72705997335a6 Content-Type: text/plain; charset="UTF-8" This seems beyond me at this point, but I am curious if you also vacuumed alf_node_properties and alf_node tables and checked when they last got (auto)vacuumed/analyzed. With default configs for autovacuum parameters and tables with that many rows, they don't qualify for autovacuum very often. I don't have much experience with tables in excess of 50 million rows because of manual sharding clients data. You mention work_mem is set differently. Did you try setting work_mem back to 4MB in session on instance 1 just to test the query? I don't know if work_mem is included in planning stage, but I would think it may be considered. It would be odd for more available memory to end up with a slower plan, but I like to eliminate variables whenever possible. It might be worthwhile to see about increasing default_statistics_target to get more specific stats, but that can result in a dramatic increase in planning time for even simple queries. Hopefully one of the real experts chimes in. --000000000000c3e72705997335a6 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">This seems beyond me at this point, but I am curious if yo= u also vacuumed=C2=A0alf_node_properties and=C2=A0alf_node tables and check= ed when they last got (auto)vacuumed/analyzed. With default configs for aut= ovacuum parameters and tables with that many rows, they don't qualify f= or autovacuum very often. I don't have much experience with tables in e= xcess of 50 million rows because of manual sharding clients data.<div><br><= /div><div>You mention work_mem is set differently. Did you try setting work= _mem back to 4MB in session on instance 1 just to test the query? I don'= ;t know if work_mem is included in planning stage, but I would think it may= be considered. It would be odd for more available memory to end up with a = slower plan, but I like to eliminate variables whenever possible.<br><div><= br></div><div>It might be worthwhile to see about increasing default_statis= tics_target to get more specific stats, but that can result in a dramatic i= ncrease in planning time for even simple queries.</div><div><br></div><div>= Hopefully one of the real experts chimes in.</div></div></div> --000000000000c3e72705997335a6--