Re: BUG #16122: segfault pg_detoast_datum (datum=0x0) at fmgr.c:1833numrange query
От | Michael Paquier |
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Тема | Re: BUG #16122: segfault pg_detoast_datum (datum=0x0) at fmgr.c:1833numrange query |
Дата | |
Msg-id | 20191118045020.GC1543@paquier.xyz обсуждение исходный текст |
Ответ на | BUG #16122: segfault pg_detoast_datum (datum=0x0) at fmgr.c:1833 numrange query (PG Bug reporting form <noreply@postgresql.org>) |
Ответы |
Re: BUG #16122: segfault pg_detoast_datum (datum=0x0) at fmgr.c:1833numrange query
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Список | pgsql-bugs |
Hi Adam, On Mon, Nov 18, 2019 at 01:27:22AM +0000, PG Bug reporting form wrote: > Email address: adam.c.scott@gmail.com > PostgreSQL version: 10.11 > Operating system: Ubuntu & CentOS > Description: Did you see that after updating to 10.11. If you used 10.10 or an older version, did the problem happen? > Seg fault can be repeated by running this query: > > select count(*) from natica_hdu where boundary is not null > and > "dec_range" <@ '[89.9999998611111,90.0000001388889)' AND "ra_range" <@ > '[45.0,45.1]'; It would help if we had a sample of data here able to reproduce the problem. Something looks to be wrong with this range operator when working on numeric ranges, still I cannot reproduce the problem with for example stuff like that: CREATE TABLE aa (a numrange); CREATE INDEX aai ON aa(a); INSERT INTO aa SELECT ('['|| (90.0 - a::numeric/10000000000) || ',' || (90.0 + a::numeric/10000000000) || ')')::numrange FROM generate_series(1,10000) as a; SELECT count(*) FROM aa WHERE a <@ '[89.9999998611111,90.0000001388889)'; Seeing the plan of your query may help as well. Could you run EXPLAIN on it or does it crash before? Perhaps a parallel plan is involved here? > #0 pg_detoast_datum (datum=0xffffffff) at fmgr.c:1833 > #1 0x0000557a18c19545 in numeric_sub (fcinfo=fcinfo@entry=0x7ffff5795e30) > at numeric.c:2288 Hmm. Per the shape of this backtrace, you are indeed processing the range operator, and this portion of memory looks freed. My simplified example above basically goes through the same when planning the query. -- Michael
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