Thread
-
BUG #19103: Canceled INSERT statement can still influence the performance of subsequent SELECT statement
PG Bug reporting form <noreply@postgresql.org> — 2025-11-04T12:08:00Z
The following bug has been logged on the website: Bug reference: 19103 Logged by: Jinhui Lai Email address: jinhui.lai@qq.com PostgreSQL version: 18.0 Operating system: ubuntu 22.04 Description: Dear PG developers: Thanks for reading my report. Here, I find a performance issue. I have found a performance issue where a canceled INSERT statement appears to negatively impact the performance of subsequent SELECT queries. Steps to Reproduce: \timing on CREATE TABLE t0(c0 INT8); INSERT INTO t1 VALUES(1); CREATE TABLE t1(c1 INT8); INSERT INTO t1 SELECT * FROM generate_series(1, 100000000); ^CCancel request sent ERROR: canceling statement due to user request Time: 50685.063 ms (00:50.685) SELECT COUNT(*) FROM t0; count ------- 0 (1 row) Time: 1.264 ms SELECT COUNT(*) FROM t1; count ------- 0 (1 row) Time: 3466.933 ms (00:03.467) This performance degradation could affect systems where large batch operations are frequently started and canceled, potentially impacting overall database responsiveness. Thank you for investigating this issue. Best regards, Jinhui Lai -
Re: BUG #19103: Canceled INSERT statement can still influence the performance of subsequent SELECT statement
David G. Johnston <david.g.johnston@gmail.com> — 2025-11-04T13:26:01Z
On Tuesday, November 4, 2025, PG Bug reporting form <noreply@postgresql.org> wrote: > The following bug has been logged on the website: > > Bug reference: 19103 > Logged by: Jinhui Lai > Email address: jinhui.lai@qq.com > PostgreSQL version: 18.0 > Operating system: ubuntu 22.04 > Description: > > Dear PG developers: > > Thanks for reading my report. Here, I find a performance issue. I have > found a performance issue where a canceled INSERT statement appears to > negatively impact the performance of subsequent SELECT queries. This doesn’t feel like a bug. Processing deleted rows is expensive and some of that work happens during selects if/when those dead rows are encountered. > This performance degradation could affect systems where large batch > operations are frequently started and canceled, potentially impacting > overall database responsiveness. > Temporary tables are nice for this kind of flow. Don’t touch production tables until you know what you are going to insert is going to stick. David J.
-
Re: BUG #19103: Canceled INSERT statement can still influence the performance of subsequent SELECT statement
Tom Lane <tgl@sss.pgh.pa.us> — 2025-11-04T14:55:28Z
"David G. Johnston" <david.g.johnston@gmail.com> writes: > On Tuesday, November 4, 2025, PG Bug reporting form <noreply@postgresql.org> > wrote: >> Thanks for reading my report. Here, I find a performance issue. I have >> found a performance issue where a canceled INSERT statement appears to >> negatively impact the performance of subsequent SELECT queries. > This doesn’t feel like a bug. It is not. The reason ROLLBACK is essentially free in Postgres is that some of the ensuing cleanup work gets done during subsequent table accesses. Some other DBMSes do that differently, but that's our choice and we're not likely to revisit it. > Temporary tables are nice for this kind of flow. Don’t touch production > tables until you know what you are going to insert is going to stick. Yeah. Frequently rolling back large data modifications is a performance anti-pattern no matter what the underlying implementation does. regards, tom lane
-
Re: BUG #19103: Canceled INSERT statement can still influence the performance of subsequent SELECT statement
Álvaro Herrera <alvherre@kurilemu.de> — 2025-11-07T15:51:54Z
On 2025-Nov-04, Tom Lane wrote: > It is not. The reason ROLLBACK is essentially free in Postgres > is that some of the ensuing cleanup work gets done during > subsequent table accesses. Some other DBMSes do that differently, > but that's our choice and we're not likely to revisit it. At least, it's the choice we have made in heapam. It's possible to make different choices for other table AMs -- for instance, I bet OrioleDB has made a different choice here, because of its claim that vacuum is not needed. -- Álvaro Herrera Breisgau, Deutschland — https://www.EnterpriseDB.com/ "El hombre nunca sabe de lo que es capaz hasta que lo intenta" (C. Dickens)