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
Analytics
Analytics
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Commits
Issue Boards
Open sidebar
Kirill Smelkov
mariadb
Commits
00b8917c
Commit
00b8917c
authored
Oct 01, 2002
by
unknown
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
manual.texi Fix a few agreement problems.
Docs/manual.texi: Fix a few agreement problems.
parent
c506c395
Changes
1
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
8 additions
and
8 deletions
+8
-8
Docs/manual.texi
Docs/manual.texi
+8
-8
No files found.
Docs/manual.texi
View file @
00b8917c
...
...
@@ -54017,7 +54017,7 @@ T
@item
Fixed optimiser problem on @code{SELECT} when using many overlapping indexes.
MySQL should now be able to choose keys even better when there
is
many keys to choose from.
are
many keys to choose from.
@item
Changed optimiser to prefer a range key instead of a ref key when the
range key can uses more columns than the ref key (which only can use
...
...
@@ -58264,25 +58264,25 @@ Instead of using row level locks one can use application level locks
only in well-behaved applications.
In many cases one can do an educated guess which locking type is best
for the application but generally it's very hard to say that a given
for the application
,
but generally it's very hard to say that a given
lock type is better than another; everything depends on the application
and different part of the application may require different lock types.
Here are some tips about locking in MySQL:
On web application most
applications do lots of selects, very few
deletes, updates mainly on keys and inserts in some specific tables.
Most web
applications do lots of selects, very few
deletes, updates mainly on keys
,
and inserts in some specific tables.
The base MySQL setup is very well tuned for this.
Concurrent users
is not a problem if one doesn't mix updates and
selects
that need
s
to examine many rows in the same table.
Concurrent users
are not a problem if one doesn't mix updates with
selects
that need to examine many rows in the same table.
If one mixes inserts and deletes on the same table then @code{INSERT DELAYED}
may be of great help.
One can also use @code{LOCK TABLES} to speed up things (many updates within
a single lock is much faster than updates without locks). Splitting
thing to different tables will also help
s
.
thing to different tables will also help.
If you get speed problems with the table locks in MySQL, you
may be able to solve these by converting some of your tables to @code{InnoDB}
...
...
@@ -58290,7 +58290,7 @@ or @code{BDB} tables.
@xref{InnoDB}. @xref{BDB}.
The optimisation section in the manual covers a lot of different aspects of
how to tune
ones application
. @xref{Tips}.
how to tune
applications
. @xref{Tips}.
@node RTS-threads, Thread packages, Locking methods, Porting
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