Re: eWeek Poll: Which database is most critical to your
От | Dann Corbit |
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Тема | Re: eWeek Poll: Which database is most critical to your |
Дата | |
Msg-id | D90A5A6C612A39408103E6ECDD77B82920CC1F@voyager.corporate.connx.com обсуждение исходный текст |
Ответы |
Re: eWeek Poll: Which database is most critical to your
Re: eWeek Poll: Which database is most critical to |
Список | pgsql-hackers |
-----Original Message----- From: Neil Conway [mailto:nconway@klamath.dyndns.org] Sent: Tuesday, February 26, 2002 3:04 PM To: pgsql-hackers@postgresql.org Subject: Re: [HACKERS] eWeek Poll: Which database is most critical to your On Tue, 2002-02-26 at 15:30, Zak Greant wrote: > Good Day All, > > eWeek has posted a poll that asks which database server is most critical > to your organization. The article mentions a MySQL feature which apparently improved performance considerably: // MySQL 4.0.1's new, extremely fast query cache is also quite notable, as no other database we tested had this feature. If the text of an incoming query has a byte-for-byte match with a cached query, MySQL can retrieve the results directly from the cache without compiling the query, getting locks or doing index accesses. This query caching will be effective only for tables with few updates because any table updates that clear the cache to guarantee correct results are always returned. // My guess is that it would be relatively simple to implement. Any comments on this? If I implemented this, any chance this would make it into the tree? Of course, it would be: - disabled by default - enabled on a table-by-table basis (maybe an ALTER TABLE command) >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> >> I don't see how it will do any good. There is no "prepare" in Postgresql and therefore you will simply be reexecuting the queries every time any way. Also, parameter markers only work in embedded SQL and that is a single tasking system. I think it would be a major piece of work to do anything useful along those lines. If you look at how DB/2 works, you will see that they store prepared statements. Another alternative would be to keep some point in the parser marked and somehow jump to that point, but you would have to be able to save a parse tree somewhere and also recognize the query. Here is where problems come in... -- Someone wants blue and blue-green, etc shirts that are backordered SELECT shirt, color, backorder_qty FROM garments WHERE color like "BLUE%" Now, another query comes along: -- Someone else wants reddish, etc shirts that are backordered: SELECT shirt, color, backorder_qty FROM garments WHERE color like "RED%" It's the same query with different data. Without parameter markers you will never know it. And yet this is exactly the sort of caching that is useful. <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< <<
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