Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
M
MariaDB
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Analytics
Analytics
CI / CD
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
nexedi
MariaDB
Commits
76764b73
Commit
76764b73
authored
Feb 18, 2002
by
unknown
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
VACUUM fixup in PostgreSQL info.
parent
e4d7bce1
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
10 additions
and
10 deletions
+10
-10
Docs/manual.texi
Docs/manual.texi
+10
-10
No files found.
Docs/manual.texi
View file @
76764b73
...
...
@@ -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.
...
...
@@ -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
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment