Re: memory leak in trigger handling (since PG12)
Tomas Vondra <tomas.vondra@enterprisedb.com>
From: Tomas Vondra <tomas.vondra@enterprisedb.com>
To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: Andres Freund <andres@anarazel.de>,
PostgreSQL Hackers <pgsql-hackers@lists.postgresql.org>
Date: 2023-05-24T08:49:14Z
Lists: pgsql-hackers
On 5/23/23 23:39, Tom Lane wrote: > Tomas Vondra <tomas.vondra@enterprisedb.com> writes: >> The really hard thing was determining what causes the memory leak - the >> simple instrumentation doesn't help with that at all. It tells you there >> might be a leak, but you don't know where did the allocations came from. > >> What I ended up doing is a simple gdb script that sets breakpoints on >> all palloc/pfree variants, and prints info (including the backtrace) for >> each call on ExecutorState. And then a script that aggregate those to >> identify which backtraces allocated most chunks that were not freed. > > FWIW, I've had some success localizing palloc memory leaks with valgrind's > leak detection mode. The trick is to ask it for a report before the > context gets destroyed. Beats writing your own infrastructure ... > I haven't tried valgrind, so can't compare. Would it be possible to filter which memory contexts to track? Say we know the leak is in ExecutorState, so we don't need to track allocations in other contexts. That was a huge speedup for me, maybe it'd help valgrind too. Also, how did you ask for the report before context gets destroyed? >> Would require testing with more data, though. I doubt we'd find much >> with our regression tests, which have tiny data sets. > > Yeah, it's not clear whether we could make the still-hypothetical check > sensitive enough to find leaks using small test cases without getting an > unworkable number of false positives. Still, might be worth trying. I'm not against experimenting with that. Were you thinking about something that'd be cheap enough to just be enabled always/everywhere, or something we'd enable during testing? This reminded me a strangeloop talk [1] [2] about the Scalene memory profiler from UMass. That's for Python, but they did some smart tricks to reduce the cost of profiling - maybe we could do something similar, possibly by extending the memory contexts a bit. [1] https://youtu.be/vVUnCXKuNOg?t=1405 [2] https://youtu.be/vVUnCXKuNOg?t=1706 > It might be an acceptable tradeoff to have stricter rules for what can > be allocated in ExecutorState in order to make this sort of problem > more easily detectable. > Would these rules be just customary, or defined/enforced in the code somehow? I can't quite imagine how would that work, TBH. regards -- Tomas Vondra EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company
Commits
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Fix oversight in handling of modifiedCols since f24523672d
- 984c23f6f592 13.12 landed
- 260dbf19a5b4 14.9 landed
- 7ae4e786892f 15.4 landed
- 9cf85093b559 16.0 landed
- ce5aaea8cd32 17.0 landed
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Use per-tuple context in ExecGetAllUpdatedCols
- f24523672de9 16.0 landed
- 54e1b8587234 12.16 landed
- c504aa857071 13.12 landed
- 7f528e96c501 14.9 landed
- ee87f8b63aee 15.4 landed
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Generated columns
- fc22b6623b6b 12.0 cited