| From: | Zdenek Kotala <Zdenek(dot)Kotala(at)Sun(dot)COM> |
|---|---|
| To: | Mark Woodward <pgsql(at)mohawksoft(dot)com> |
| Cc: | pgsql-hackers(at)postgresql(dot)org |
| Subject: | Re: update/insert, delete/insert efficiency WRT vacuum and |
| Date: | 2006-07-04 09:59:27 |
| Message-ID: | 44AA3BFF.8090209@sun.com |
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| Lists: | pgsql-hackers |
Mark,
I don't know how it will exactly works in postgres but my expectations are:
Mark Woodward wrote:
> Is there a difference in PostgreSQL performance between these two
> different strategies:
>
>
> if(!exec("update foo set bar='blahblah' where name = 'xx'"))
> exec("insert into foo(name, bar) values('xx','blahblah'");
> or
The update code generates new tuple in the datafile and pointer has been
changed in the indexfile to the new version of tuple. This action does
not generate B-Tree structure changes. If update falls than insert
command creates new tuple in the datafile and it adds new item into
B-Tree. It should be generate B-Tree node split.
> exec("delete from foo where name = 'xx'");
> exec("insert into foo(name, bar) values('xx','blahblah'");
Both commands should generate B-Tree structure modification.
I expect that first variant is better, but It should depend on many
others things - for examples triggers, other indexes ...
REPLACE/UPSERT command solves this problem, but It is still in the TODO
list.
Zdenek
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