Re: GIN improvements part 1: additional information - Mailing list pgsql-hackers
From | Tomas Vondra |
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Subject | Re: GIN improvements part 1: additional information |
Date | |
Msg-id | 52D5E1BC.3000208@fuzzy.cz Whole thread Raw |
In response to | Re: GIN improvements part 1: additional information (Tomas Vondra <tv@fuzzy.cz>) |
Responses |
Re: GIN improvements part 1: additional information
|
List | pgsql-hackers |
On 14.1.2014 00:38, Tomas Vondra wrote: > On 13.1.2014 18:07, Alexander Korotkov wrote: >> On Sat, Jan 11, 2014 at 6:15 AM, Tomas Vondra <tv@fuzzy.cz >> <mailto:tv@fuzzy.cz>> wrote: >> >> On 8.1.2014 22:58, Alexander Korotkov wrote: >> > Thanks for reporting. Fixed version is attached. >> >> I've tried to rerun the 'archie' benchmark with the current patch, and >> once again I got >> >> PANIC: could not split GIN page, didn't fit >> >> I reran it with '--enable-cassert' and with that I got >> >> TRAP: FailedAssertion("!(ginCompareItemPointers(&items[i - 1], >> &items[i]) < 0)", File: "gindatapage.c", Line: 149) >> LOG: server process (PID 5364) was terminated by signal 6: Aborted >> DETAIL: Failed process was running: INSERT INTO messages ... >> >> so the assert in GinDataLeafPageGetUncompressed fails for some reason. >> >> I can easily reproduce it, but my knowledge in this area is rather >> limited so I'm not entirely sure what to look for. >> >> >> I've fixed this bug and many other bug. Now patch passes test suite that >> I've used earlier. The results are so: > > OK, it seems the bug is gone. However now there's a memory leak > somewhere. I'm loading pgsql mailing list archives (~600k messages) > using this script > > https://bitbucket.org/tvondra/archie/src/1bbeb920/bin/load.py > > And after loading about 1/5 of the data, all the memory gets filled by > the pgsql backends (loading the data in parallel) and the DB gets killed > by the OOM killer. I've spent a fair amount of time trying to locate the memory leak, but so far no luck. I'm not sufficiently familiar with the GIN code. I can however demonstrate that it's there, and I have rather simple test case to reproduce it - basically just a CREATE INDEX on a table with ~1M email message bodies (in a tsvector column). The data is available here (360MB compressed, 1GB raw): http://www.fuzzy.cz/tmp/message-b.data.gz Simply create a single-column table, load data and create the index CREATE TABLE test ( body_tsvector TSVECTOR ); COPY test FROM '/tmp/message-b.data'; CREATE test_idx ON test USING gintest ( body_tsvector ); I'm running this on a machine with 8GB of RAM, with these settings shared_buffers=1GB maintenance_work_mem=1GB According to top, CREATE INDEX from the current HEAD never consumes more than ~25% of RAM: PID USER PR NI VIRT RES SHR %CPU %MEM COMMAND 32091 tomas 20 0 2026032 1,817g 1,040g 56,2 23,8 postgres which is about right, as (shared_buffers + maintenance_work_mem) is about 1/4 of RAM. With the v5 patch version applied, the CREATE INDEX process eventually goes crazy and allocates almost all the available memory (but somesimes finishes, mostly by pure luck). This is what I was able to get from top PID USER PR NI VIRT RES SHR S %CPU %MEM COMMAND 14090 tomas 20 0 7913820 6,962g 955036 D 4,391,1 postgres while the system was still reasonably responsive. regards Tomas
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