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Kirill Smelkov
mariadb
Commits
68cbe4d7
Commit
68cbe4d7
authored
Feb 18, 2002
by
arjen@co3064164-a.bitbike.com
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VACUUM fixup in PostgreSQL info.
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531ae581
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Docs/manual.texi
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68cbe4d7
...
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@@ -4815,13 +4815,13 @@ existing programs than PostgreSQL. @xref{Contrib}.
@item
MySQL Server works on 24/7 heavy duty systems. In most circumstances
you never have to run any cleanups on MySQL Server. PostgreSQL doesn't
yet support 24/7 systems because you have to run @code{VACUUM
()
}
yet support 24/7 systems because you have to run @code{VACUUM}
once in a while to reclaim space from @code{UPDATE} and @code{DELETE}
commands and to perform statistics analyses that are critical to get
good performance with PostgreSQL. @code{VACUUM
()
} is also needed after
good performance with PostgreSQL. @code{VACUUM} is also needed after
adding a lot of new rows to a table. On a busy system with lots of changes,
@code{VACUUM
()
} must be run very frequently, in the worst cases even
many times a day. During the @code{VACUUM
()
} run, which may take hours
@code{VACUUM} must be run very frequently, in the worst cases even
many times a day. During the @code{VACUUM} run, which may take hours
if the database is big, the database is from a production standpoint,
practically dead. Please note: In PostgreSQL version 7.2, basic vacuuming
no longer locks tables, thus allowing normal user access during the vacuum.
...
...
@@ -5023,7 +5023,7 @@ Drawbacks with PostgreSQL compared to MySQL Server:
@itemize @bullet
@item
@code{VACUUM
()
} makes PostgreSQL hard to use in a 24/7 environment.
@code{VACUUM} makes PostgreSQL hard to use in a 24/7 environment.
@item
Only transactional tables.
...
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@@ -5064,10 +5064,10 @@ the @code{--fast} run shows how the server would do if the application
developer would use extensions in the server to make his application run
faster.
When running with PostgreSQL and @code{--fast} we do a @code{VACUUM
()
}
When running with PostgreSQL and @code{--fast} we do a @code{VACUUM}
after every major table @code{UPDATE} and @code{DROP TABLE} to make the
database in perfect shape for the following @code{SELECT}s. The time for
@code{VACUUM
()
} is measured separately.
@code{VACUUM} is measured separately.
When running with PostgreSQL 7.1.1 we could, however, not run with
@code{--fast} because during the @code{INSERT} test, the postmaster (the
...
...
@@ -5135,12 +5135,12 @@ this as a ``standard'' benchmark tool is to stretch the truth a long way.
@item
Great Bridge admitted that they had optimised the PostgreSQL database
(with @code{VACUUM
()
} before the test) and tuned the startup for the tests,
(with @code{VACUUM} before the test) and tuned the startup for the tests,
something they hadn't done for any of the other databases involved. To
say ``This process optimises indexes and frees up disk space a bit. The
optimised indexes boost performance by some margin.'' Our benchmarks
clearly indicate that the difference in running a lot of selects on a
database with and without @code{VACUUM
()
} can easily differ by a factor
database with and without @code{VACUUM} can easily differ by a factor
of ten.
@item
...
...
@@ -5149,7 +5149,7 @@ mentions that the test does ``selections, simple joins, projections,
aggregates, one-tuple updates, and bulk updates''.
PostgreSQL is good at doing @code{SELECT}s and @code{JOIN}s (especially
after a @code{VACUUM
()})
, but doesn't perform as well on @code{INSERT}s or
after a @code{VACUUM
}
, but doesn't perform as well on @code{INSERT}s or
@code{UPDATE}s. The benchmarks seem to indicate that only @code{SELECT}s
were done (or very few updates). This could easily explain they good results
for PostgreSQL in this test. The bad results for MySQL will be obvious a
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