Re: Upgrade from PG12 to PG
От | Jef Mortelle |
---|---|
Тема | Re: Upgrade from PG12 to PG |
Дата | |
Msg-id | f22e1380-12eb-10ed-5b3d-cd6b0b6a6324@gmail.com обсуждение исходный текст |
Ответ на | Re: Upgrade from PG12 to PG (Jef Mortelle <jefmortelle@gmail.com>) |
Список | pgsql-admin |
correction: -k = --link On 24/07/2023 14:59, Jef Mortelle wrote: > Hello > > This is the syntax: > > export PGDATA=/pg/PG15/system > export PATH=/usr/lib/postgresql15/bin:/bin:/usr/bin:/usr/local/bin > > export PGDATAOLD=/pg/data > export PGDATANEW=/pg/PG15/system > export PGBINOLD=/usr/lib/postgresql12/bin > export PGBINNEW=/usr/lib/postgresql15/bin > > /usr/lib/postgresql15/bin/pg_upgrade -r -v -p 5431 -P 5432 -k -j 8 > > -r =--link > > Kind regards > > On 24/07/2023 14:52, Scott Ribe wrote: >>> On Jul 24, 2023, at 12:38 AM, Jef Mortelle <jefmortelle@gmail.com> >>> wrote: >>> For some reason Postgres creates a new subdirectory for each PG >>> version (I make use of tablespaces for each database in my PG >>> cluster), also with using the link option. >>> So after some upgrade, it ends in a really mess with directory's? >> At the end of pg_upgrade, you can start up the old version against >> the old directory, or the new version against the new directory. >> (With --link, only until writing into the db, then you are committed >> to the running version.) Once you are comfortable that everything is >> good with the new version, you should delete the old data. >> Alternatively, if there is a problem forcing you back to the old >> version, you delete the new data. >> >>> => pg_dump schema_only, after RAM upgrade from 8GB up to 64GB >>> (otherwise the query against pg_largeobject ends in a OUT of Memory >>> error) runs in about 3-4 minutes >>> => pg_restore takes 7 hours, which is 99% used for executing the >>> query like: SELECT pg_catalog.lo_unlink('oid'); >> Given the tests you've run, it seems to me that it is doing something >> which it ought not when using --link. >> >>> Database is 95GB, so not so big ;-) but have ~25miljon large objects >>> in it. >> I suppose the use of large objects here is an artifact of support for >> other databases which have much lower limits on varchar column length. >> >>
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