This is the MySQL reference manual; it documents MySQL
Version 3.23.51. As MySQL is work in progress,
the manual gets updated frequently. There is a very good chance that
this version is out of date, unless you are looking at it online. The
most recent version of this manual is available at
http://www.mysql.com/documentation/ in many different formats. If you
have a hard time finding information in the manual, you can try the
searchable PHP version at http://www.mysql.com/documentation/manual.php.
MySQL is a very fast, multi-threaded, multi-user, and robust SQL
(Structured Query Language) database server.
For a list of all the contributors to this project, see section E Credits.
IMPORTANT:
Reports of errors (often called bugs), as well as questions and comments,
should be sent to the mailing list at mysql@lists.mysql.com.
See section 1.2.22.3 How to Report Bugs or Problems.
The mysqlbug script should be used to generate bug reports.
For source distributions, the mysqlbug script can be found in the
`scripts' directory. For binary distributions, mysqlbug can
be found in the `bin' directory. If you have found a sensitive
security bug in MySQL, you should send an email to
security@mysql.com.
If you have any suggestions concerning additions or corrections to this
manual, please send them to the manual team at docs@mysql.com.
This is a reference manual; it does not provide general instruction on SQL
or relational database concepts. If you want general information about SQL,
see section 1.2.2 General SQL Information and Tutorials. For books that focus more specifically on
MySQL, see section 1.2.1 Books About MySQL.
MySQL, the most popular Open Source SQL database, is provided
by MySQL AB. MySQL AB is a commercial company that
builds its business providing services around the MySQL database.
See section 1.1.2 What Is MySQL AB.
MySQL is a database management system.
A database is a structured collection of data. It may be anything from a
simple shopping list to a picture gallery or the vast amounts of
information in a corporate network. To add, access, and process data
stored in a computer database, you need a database management system
such as MySQL. Since computers are very good at handling large
amounts of data, database management plays a central role in computing,
as stand-alone utilities, or as parts of other applications.
MySQL is a relational database management system.
A relational database stores data in separate tables rather than putting
all the data in one big storeroom. This adds speed and flexibility. The
tables are linked by defined relations making it possible to combine
data from several tables on request. The SQL part of MySQL
stands for "Structured Query Language" - the most common standardized
language used to access databases.
MySQL is Open Source Software.
Open Source means that it is possible for anyone to use and modify.
Anybody can download MySQL from the Internet and use it
without paying anything. Anybody so inclined can study the source code
and change it to fit their needs. MySQL uses the GPL (GNU
General Public License) http://www.gnu.org, to define what you
may and may not do with the software in different situations. If you
feel uncomfortable with the GPL or need to embed MySQL into a
commercial application you can buy a commercially licensed version from
us.
Why use MySQL?
MySQL is very fast, reliable, and easy to use. If that is what
you are looking for, you should give it a try. MySQL also has a
very practical set of features developed in very close cooperation with
our users. You can find a performance comparison of MySQL
to some other database managers on our benchmark page.
See section 5.1.4 The MySQL Benchmark Suite.
MySQL was originally developed to handle very large databases
much faster than existing solutions and has been successfully used in
highly demanding production environments for several years. Though
under constant development, MySQL today offers a rich and very
useful set of functions. The connectivity, speed, and security make
MySQL highly suited for accessing databases on the Internet.
The technical features of MySQL
For advanced technical information, see section 6 MySQL Language Reference. MySQL is
a client/server system that consists of a multi-threaded SQL server
that supports different backends, several different client programs and
libraries, administrative tools, and several programming interfaces.
We also provide MySQL as a multi-threaded library which you can
link into your application to get a smaller, faster, easier to manage
product.
MySQL has a lot of contributed software available.
It is very likely that you will find that your favorite application or
language already supports MySQL.
The official way to pronounce MySQL is ``My Ess Que Ell'' (not
MY-SEQUEL). But we try to avoid correcting people who say MY-SEQUEL.
MySQL AB is the Swedish company owned and run by the MySQL
founders and main developers. We are dedicated to developing MySQL
and spreading our database to new users. MySQL AB owns the copyright
to the MySQL server source code and the MySQL trademark.
A significant amount of revenues from our services goes to developing
MySQL. See section 1.1.1 What Is MySQL.
MySQL AB has been profitable providing MySQL from the start.
We don't get any outside funding, but have earned all our money ourselves.
We are searching after partners that would like to support our development
of MySQL so that we could accelerate the development pace. If you
are interested in doing this, you can email partner@mysql.com about
this!
Commercial high quality support for MySQL provided by the
MySQL developers themselves. If you are interested in purchasing
a support contract, please visit https://order.mysql.com/ to view our
support options or to order support.
Consulting services. We have developers and consultants in 12 countries
and partners in many other countries that can help you with almost any
MySQL related issues. If you need consulting services, please
email a good description of your needs to info@mysql.com! If we
can't handle this ourselves we can usually find a partner or a developer
that can help you with your problems.
We sell licenses for using MySQL as an embedded database.
See section 1.3.4 MySQL Licensing and Support Costs. If you have a commercial product for which you need a fast,
high quality database, but you can't afford to make your product Open Source,
you can buy the right to use the MySQL server under a normal
commercial copyright. If you are interested in this you can buy
MySQL licenses at https://order.mysql.com/ or contact us
at licensing@mysql.com.
Advertising. http://www.mysql.com/ is a very popular web site with
more than 10,000,000 page views per months (January 2001). By putting a
banner on this you are guaranteed to reach a lot of potential customers
in the Open source, Linux and database community. If you are interested
in this email advertising@mysql.com.
We provide MySQL training through our partner programs. For more
information, please email info@mysql.com.
The MySQL brand has, since 1995, been associated with speed and
reliability, and is known to be something you can depend upon. If you are
interested in using the MySQL trademark in your marketing, you
can email info@mysql.com about this.
The MySQL core values show our dedication to MySQL and
Open Source.
We want MySQL to be:
The best and the most used database in the world.
Available and affordable for all.
Easy to use.
Continuously improved while remaining fast and safe.
Fun to use and improve.
Free from bugs.
MySQL AB and the people of MySQL AB:
Promote Open Source Philosophy and support the Open Source Community.
Aim to be good citizens.
Prefer partners that share our values and mind-set.
This manual is currently available in Texinfo, plain text, Info, HTML,
PostScript, and PDF versions. The primary document is the Texinfo file.
The HTML version is produced automatically using a modified version of
texi2html. The plain text and Info versions are produced with
makeinfo. The Postscript version is produced using texi2dvi
and dvips. The PDF version is produced with pdftex.
This manual is written and maintained by David Axmark, Michael (Monty)
Widenius, Jeremy Cole, and Paul DuBois. For other contributors,
see section E Credits.
This manual uses certain typographical conventions:
constant
Constant-width font is used for command names and options; SQL statements;
database, table and column names; C and Perl code; and environment variables.
Example: ``To see how mysqladmin works, invoke it with the
--help option.''
`filename'
Constant-width font with surrounding quotes is used for filenames and
pathnames. Example: ``The distribution is installed under the
`/usr/local/' directory.''
`c'
Constant-width font with surrounding quotes is also used to indicate
character sequences. Example: ``To specify a wild card, use the `%'
character.''
italic
Italic font is used for emphasis, like this.
boldface
Boldface font is used for access privilege names (for example, ``do not grant
the process privilege lightly'') and occasionally to convey
especially strong emphasis.
When commands are shown that are meant to be executed by a particular
program, the program is indicated by a prompt shown before the command. For
example, shell> indicates a command that you execute from your login
shell, and mysql> indicates a command that you execute from the
mysql client program:
shell> type a shell command here
mysql> type a mysql command here
Shell commands are shown using Bourne shell syntax. If you are using a
csh-style shell, you may need to issue commands slightly differently.
For example, the sequence to set an environment variable and run a command
looks like this in Bourne shell syntax:
shell> VARNAME=value some_command
For csh, you would execute the sequence like this:
shell> setenv VARNAME value
shell> some_command
Often, database, table, and column names must be substituted into commands. To
indicate that such substitution is necessary, this manual uses
db_name, tbl_name and col_name. For example, you might
see a statement like this:
mysql> SELECT col_name FROM db_name.tbl_name;
This means that if you were to enter a similar statement, you would supply
your own database, table, and column names, perhaps like this:
mysql> SELECT author_name FROM biblio_db.author_list;
SQL statements may be written in uppercase or lowercase. When this manual
shows a SQL statement, uppercase is used for particular keywords if those
keywords are under discussion (to emphasize them) and lowercase is used for
the rest of the statement. For example, you might see the following in a
discussion of the SELECT statement:
mysql> SELECT count(*) FROM tbl_name;
On the other hand, in a discussion of the COUNT() function, the
same statement would be written like this:
mysql> select COUNT(*) from tbl_name;
If no particular emphasis is intended, all keywords are written uniformly
in uppercase.
In syntax descriptions, square brackets (`[' and `]') are used
to indicate optional words or clauses:
DROP TABLE [IF EXISTS] tbl_name
When a syntax element consists of a number of alternatives, the alternatives
are separated by vertical bars (`|'). When one member from a set of
choices may be chosen, the alternatives are listed within square
brackets (`[' and `]'):
TRIM([[BOTH | LEADING | TRAILING] [remstr] FROM] str)
When one member from a set of choices must be chosen, the
alternatives are listed within braces (`{' and `}'):
We once started out with the intention of using mSQL to connect to our
tables using our own fast low-level (ISAM) routines. However, after some
testing we came to the conclusion that mSQL was not fast enough nor
flexible enough for our needs. This resulted in a new SQL interface to our
database but with almost the same API interface as mSQL. This API was
chosen to ease porting of third-party code.
The derivation of the name MySQL is not perfectly clear. Our base
directory and a large number of our libraries and tools have had the prefix
``my'' for well over 10 years. However, Monty's daughter (some years younger)
is also named My. Which of the two gave its name to MySQL is
still a mystery, even for us.
Many column types: signed/unsigned integers 1, 2, 3, 4, and 8 bytes
long, FLOAT, DOUBLE, CHAR, VARCHAR,
TEXT, BLOB, DATE, TIME, DATETIME,
TIMESTAMP, YEAR, SET, and ENUM types.
See section 6.2 Column Types.
Very fast joins using an optimized one-sweep multi-join.
Full operator and function support in the SELECT and WHERE
parts of queries. For example:
mysql> SELECT CONCAT(first_name, " ", last_name) FROM tbl_name
WHERE income/dependents > 10000 AND age > 30;
SQL functions are implemented through a highly optimized class library and
should be as fast as possible! Usually there isn't any memory allocation
at all after query initialization.
Full support for SQL GROUP BY and ORDER BY clauses. Support
for group functions (COUNT(), COUNT(DISTINCT ...),
AVG(), STD(), SUM(), MAX() and MIN()).
Support for LEFT OUTER JOIN and RIGHT OUTER JOIN with ANSI
SQL and ODBC syntax.
You can mix tables from different databases in the same query (as of
Version 3.22).
A privilege and password system that is very flexible and secure, and
allows host-based verification. Passwords are secure because all
password traffic is encrypted when you connect to a server.
ODBC (Open-DataBase-Connectivity) support for Win32 (with source). All
ODBC 2.5 functions and many others. For example, you can use MS Access to
connect to your MySQL server. See section 8.3 MySQL ODBC Support.
Very fast B-tree disk tables with index compression.
Up to 32 indexes per table are allowed. Each index may consist of 1 to 16
columns or parts of columns. The maximum index length is 500 bytes (this
may be changed when compiling MySQL). An index may use a prefix
of a CHAR or VARCHAR field.
Fixed-length and variable-length records.
In-memory hash tables which are used as temporary tables.
Handles large databases. We are using MySQL with some
databases that contain 50,000,000 records and we know of users that
uses MySQL with 60,000 tables and about 5,000,000,000 rows
All columns have default values. You can use INSERT to insert a
subset of a table's columns; those columns that are not explicitly given
values are set to their default values.
Uses GNU Automake, Autoconf, and Libtool for portability.
Written in C and C++. Tested with a broad range of different compilers.
A very fast thread-based memory allocation system.
No memory leaks. MySQL has been tested with Purify, a commercial
memory leakage detector.
Includes myisamchk, a very fast utility for table checking,
optimization, and repair. All of the functionality of myisamchk
is also available through the SQL interface as well.
See section 4 MySQL Database Administration.
Full support for several different character sets, including
ISO-8859-1 (Latin1), big5, ujis, and more. For example, the
Scandinavian characters `@ringaccent{a}', `@"a' and `@"o' are allowed
in table and column names.
All data are saved in the chosen character set. All comparisons for normal
string columns are case insensitive.
Sorting is done according to the chosen character set (the Swedish
way by default). It is possible to change this when the MySQL server
is started up. To see an example of very advanced sorting, look at the
Czech sorting code. MySQL supports many different character sets
that can be specified at compile and run time.
Aliases on tables and columns are allowed as in the SQL92 standard.
DELETE, INSERT, REPLACE, and UPDATE return
the number of rows that were changed (affected). It is possible to return
the number of rows matched instead by setting a flag when connecting to the
server.
Function names do not clash with table or column names. For example,
ABS is a valid column name. The only restriction is that for a
function call, no spaces are allowed between the function name and the
`(' that follows it. See section 6.1.6 Is MySQL Picky About Reserved Words?.
All MySQL programs can be invoked with the --help or -?
options to obtain online assistance.
Clients may connect to the MySQL server using TCP/IP Sockets,
Unix Sockets (Unix), or Named Pipes (NT).
The MySQL-specific SHOW command can be used to retrieve
information about databases, tables, and indexes. The EXPLAIN command
can be used to determine how the optimizer resolves a query.
This section addresses the questions ``How stable is MySQL?'' and
``Can I depend on MySQL in this project?'' We will try to clarify
some issues and to answer some of the more important questions that seem to
concern many people. This section has been put together from information
gathered from the mailing list (which is very active in reporting bugs).
At TcX, MySQL has worked without any problems in our projects since
mid-1996. When MySQL was released to a wider public, we noticed that
there were some pieces of ``untested code'' that were quickly found by the
new users who made queries in a manner different than our own. Each new
release has had fewer portability problems than the previous one (even though
each has had many new features).
Each release of MySQL has been usable, and there have been problems
only when users start to use code from the ``gray zones.'' Naturally, outside
users don't know what the gray zones are; this section attempts to indicate
those that are currently known. The descriptions deal with Version 3.23
of MySQL. All known and reported bugs are fixed in the latest
version, with the exception of the bugs listed in the bugs section, which
are things that are design-related. See section 1.4.7 Known errors and design deficiencies in MySQL.
MySQL is written in multiple layers and different independent
modules. These modules are listed below with an indication of how
well-tested each of them is:
The ISAM table handler -- Stable
This manages storage and retrieval of all data in MySQL Version 3.22
and earlier. In all MySQL releases there hasn't been a single
(reported) bug in this code. The only known way to get a corrupted table
is to kill the server in the middle of an update. Even that is unlikely
to destroy any data beyond rescue, because all data are flushed to disk
between each query. There hasn't been a single bug report about lost data
because of bugs in MySQL.
The MyISAM table handler -- Stable
This is new in MySQL Version 3.23. It's largely based on the ISAM
table code but has a lot of new and very useful features.
The parser and lexical analyser -- Stable
There hasn't been a single reported bug in this system for a long time.
The C client code -- Stable
No known problems. In early Version 3.20 releases, there were some limitations
in the send/receive buffer size. As of Version 3.21, the buffer size is now
dynamic up to a default of 16M.
Standard client programs -- Stable
These include mysql, mysqladmin, mysqlshow,
mysqldump, and mysqlimport.
Basic SQL -- Stable
The basic SQL function system and string classes and dynamic memory
handling. Not a single reported bug in this system.
Query optimizer -- Stable
Range optimizer -- Stable
Join optimizer -- Stable
Locking -- Gamma
This is very system-dependent. On some systems there are big problems
using standard OS locking (fcntl()). In these cases, you should run the
MySQL daemon with the --skip-locking flag. Problems are known
to occur on some Linux systems, and on SunOS when using NFS-mounted file
systems.
Linux threads -- Stable
The major problem found has been with the fcntl() call, which is
fixed by using the --skip-locking option to
mysqld. Some people have reported lockup problems with Version 0.5.
LinuxThreads will need to be recompiled if you plan to use
1000+ concurrent connections. Although it is possible to run that many
connections with the default LinuxThreads (however, you will never go
above 1021), the default stack spacing of 2 MB makes the application
unstable, and we have been able to reproduce a coredump after creating
1021 idle connections. See section 2.6.1 Linux Notes (All Linux Versions).
Solaris 2.5+ pthreads -- Stable
We use this for all our production work.
MIT-pthreads (Other systems) -- Stable
There have been no reported bugs since Version 3.20.15 and no known bugs since
Version 3.20.16. On some systems, there is a ``misfeature'' where some
operations are quite slow (a 1/20 second sleep is done between each query).
Of course, MIT-pthreads may slow down everything a bit, but index-based
SELECT statements are usually done in one time frame so there shouldn't
be a mutex locking/thread juggling.
Other thread implementions -- Beta - Gamma
The ports to other systems are still very new and may have bugs, possibly
in MySQL, but most often in the thread implementation itself.
LOAD DATA ..., INSERT ... SELECT -- Stable
Some people thought they had found bugs here, but these usually have
turned out to be misunderstandings. Please check the manual before reporting
problems!
We are still working on replication, so don't expect this to be rock
solid yet. On the other hand, some MySQL users are already
using this with good results.
BDB Tables -- Beta
The Berkeley DB code is very stable, but we are still improving the interface
between MySQL and BDB tables, so it will take some time before this
is as tested as the other table types.
InnoDB Tables -- Beta
This is a recent addition to MySQL. They appear to work good and
can be used after some initial testing.
Automatic recovery of MyISAM tables - Beta
This only affects the new code that checks if the table was closed properly
on open and executes an automatic check/repair of the table if it wasn't.
MERGE tables -- Beta / Gamma
The usage of keys on MERGE tables is still not that tested. The
other part of the MERGE code is quite well tested.
FULLTEXT -- Beta
Text search seems to work, but is still not widely used.
MySQL AB provides e-mail support for paying customers, but the
MySQL mailing list usually provides answers to common questions.
Bugs are usually fixed right away with a patch; for serious bugs, there is
almost always a new release.
MySQL Version 3.22 has a 4G limit on table size. With the new
MyISAM in MySQL Version 3.23 the maximum table size is
pushed up to 8 million terabytes (2 ^ 63 bytes).
Note, however, that operating systems have their own file size
limits. Here are some examples:
Operating System
File Size Limit
Linux-Intel 32 bit
2G, 4G or more, depends on Linux version
Linux-Alpha
8T (?)
Solaris 2.5.1
2G (possible 4G with patch)
Solaris 2.6
4G
Solaris 2.7 Intel
4G
Solaris 2.7 ULTRA-SPARC
8T (?)
On Linux 2.2 you can get bigger tables than 2G by using the LFS patch for
the ext2 file system. On Linux 2.4 there exists also patches for ReiserFS
to get support for big files.
This means that the table size for MySQL is normally limited by
the operating system.
By default, MySQL tables have a maximum size of about 4G. You can
check the maximum table size for a table with the SHOW TABLE STATUS
command or with the myisamchk -dv table_name.
See section 4.5.5 SHOW Syntax.
If you need bigger tables than 4G (and your operating system supports
this), you should set the AVG_ROW_LENGTH and MAX_ROWS
parameter when you create your table. See section 6.5.3 CREATE TABLE Syntax. You can
also set these later with ALTER TABLE. See section 6.5.4 ALTER TABLE Syntax.
If your big table is going to be read-only, you could use
myisampack to merge and compress many tables to one.
myisampack usually compresses a table by at least 50%, so you can
have, in effect, much bigger tables. See section 4.7.4 myisampack, The MySQL Compressed Read-only Table Generator.
You can go around the operating system file limit for MyISAM data
files by using the RAID option. See section 6.5.3 CREATE TABLE Syntax.
Another solution can be the included MERGE library, which allows you to
handle a collection of identical tables as one. See section 7.2 MERGE Tables.
MySQL itself has no problems with Year 2000 (Y2K) compliance:
MySQL uses Unix time functions and has no problems with dates
until 2069; all 2-digit years are regarded to be in the range
1970 to 2069, which means that if you store 01 in a
year column, MySQL treats it as 2001.
All MySQL date functions are stored in one file `sql/time.cc'
and coded very carefully to be year 2000-safe.
In MySQL Version 3.22 and later, the new YEAR column type
can store years 0 and 1901 to 2155 in 1 byte and display
them using 2 or 4 digits.
You may run into problems with applications that use MySQL in a
way that is not Y2K-safe. For example, many old applications store
or manipulate years using 2-digit values (which are ambiguous) rather than
4-digit values. This problem may be compounded by applications that use
values such as 00 or 99 as ``missing'' value indicators.
Unfortunately, these problems may be difficult to fix, because different
applications may be written by different programmers, each of whom may
use a different set of conventions and date-handling functions.
Here is a simple demonstration illustrating that MySQL doesn't have
any problems with dates until the year 2030:
This shows that the DATE and DATETIME types will not
give any problems with future dates (they handle dates until the year
9999).
The TIMESTAMP type, which is used to store the current time, has a
range up to only 2030-01-01. TIMESTAMP has a range of
1970 to 2030 on 32-bit machines (signed value). On 64-bit
machines it handles times up to 2106 (unsigned value).
Even though MySQL is Y2K-compliant, it is your responsibility to
provide unambiguous input. See section 6.2.2.1 Y2K Issues and Date Types for MySQL's rules
for dealing with ambiguous date input data (data containing 2-digit year
values).
While this manual is still the right place for up to date technical
information, its primary goal is to contain everything there is to know
about MySQL. It is sometimes nice to have a bound book to read
in bed or while you travel. Here is a list of books about MySQL and
related subjects (in English).
By purchasing a book through these hyperlinks provided herein, you are
contributing to the development of MySQL.
Foreword by Michael ``Monty'' Widenius, MySQL Moderator.
In MySQL, Paul DuBois provides you with a comprehensive guide to
one of the most popular relational database systems. Paul has
contributed to the online documentation for MySQL and is an
active member of the MySQL community. The principal MySQL
developer, Monty Widenius, and a network of his fellow developers
reviewed the manuscript, and provided Paul with the kind of insight
no one else could supply.
Instead of merely giving you a general overview of MySQL, Paul
teaches you how to make the most of its capabilities. Through two
sample database applications that run throughout the book, he
gives you solutions to problems you're sure to face. He helps you
integrate MySQL efficiently with third-party tools, such as PHP
and Perl, enabling you to generate dynamic Web pages through
database queries. He teaches you to write programs that access
MySQL databases, and also provides a comprehensive set of
references to column types, operators, functions, SQL syntax,
MySQL programming, C API, Perl DBI, and PHP API.
MySQL simply gives you the kind of information you won't find
anywhere else.
If you use MySQL, this book provides you with:
An introduction to MySQL and SQL.
Coverage of MySQL's data types and how to use them.
Thorough treatment of how to write client programs in C.
A guide to using the Perl DBI and PHP APIs for developing
command-line and Web-based applications.
Tips on administrative issues such as user accounts, backup,
crash recovery, and security.
Help in choosing an ISP for MySQL access.
A comprehensive reference for MySQL's data types, operators,
functions, and SQL statements and utilities.
Complete reference guides for MySQL's C API, the Perl DBI API,
and PHP's MySQL-related functions.
This book teaches you how to use MySQL and mSQL, two popular
and robust database products that support key subsets of SQL on both Linux
and Unix systems. Anyone who knows basic C, Java, Perl, or Python can
write a program to interact with a database, either as a stand-alone
application or through a Web page. This book takes you through the
whole process, from installation and configuration to programming
interfaces and basic administration. Includes plenty of tutorial
material.
Sams' Teach Yourself MySQL in 21 Days is for intermediate Linux users
who want to move into databases. A large share of the audience is Web
developers who need a database to store large amounts of information that
can be retrieved via the Web.
Sams' Teach Yourself MySQL in 21 Days is a practical, step-by-step
tutorial. The reader will learn to design and employ this open source
database technology into his or her Web site using practical, hands-on
examples to follow.
This book puts together information on installing, setting up, and
troubleshooting Apache, MySQL, PHP3, and IMP into one complete
volume. You also learn how each piece is part of a whole by learning,
step-by-step, how to create a web-based e-mail system. Learn to run
the equivalent of Active Server Pages (ASP) using PHP3, set up an
e-commerce site using a database and the Apache web server, and create
a data entry system (such as sales, product quality tracking, customer
preferences, etc) that no installation in the PC.
In this follow-up to the best-selling Beginning Linux Programming,
you will learn from the authors' real-world knowledge and experience of
developing software for Linux; you'll be taken through the development
of a sample 'DVD Store' application, with 'theme' chapters addressing
different aspects of its implementation. Meanwhile, individual
``take-a-break'' chapters cover important topics that go beyond the
bounds of the central theme. All focus on the practical aspects of
programming, showing how crucial it is to choose the right tools for
the job, use them as they should be used, and get things right first
time.
PHP and MySQL Web Development introduces you to the advantages
of implementing both MySQL and PHP. These advantages are detailed
through the provision of both statistics and several case studies. A
practical web application is developed throughout the book, providing
you with the tools necessary to implement a functional online
database. Each function is developed separately, allowing you the
choice to incorporate only those parts that you would like to
implement. Programming concepts of the PHP language are highlighted,
including functions which tie MySQL support into a PHP script and
advanced topics regarding table manipulation.
This book contains complete descriptions of the new standards for
syntax, data structures, and retrieval processes of SQL databases. As
an example-based reference manual, it includes all of the CLI
functions, information, schema tables, and status codes, as well as a
working SQL database provided on the companion disk.
A new and improved revision of the bestselling C language
reference. This manual introduces the notion of "Clean C", writing C
code that can be compiled as a C++ program, C programming style that
emphasizes correctness, portability, maintainability, and
incorporates the ISO C Amendment 1 (1994) which specifies new
facilities for writing portable, international programs in C.
C++ For Real Programmers bridges the gap between C++ as described
in beginner and intermediate-level books and C++ as it is practiced by
experts. Numerous valuable techniques are described, organized into
three simple themes: indirection, class hierarchies, and memory
management. It also provides in-depth coverage of template creation,
exception handling, pointers and optimization techniques. The focus of
the book is on ANSI C++ and, as such, is compiler independent.
C++ For Real Programmers is a revision of
Secrets of the C++ Masters and includes a new appendix comparing C++
with Java. The book comes with a 3.5" disk for Windows with source code.
Algorithms in C describes a variety of algorithms in a number of
areas of interest, including: sorting, searching, string-processing, and
geometric, graph and mathematical algorithms. The book emphasizes
fundamental techniques, providing readers with the tools to confidently
implement, run, and debug useful algorithms.
Based on the best-selling Threads Primer,
Multithreaded Programming with Pthreads gives you a solid
understanding of Posix threads: what they are, how they work, when to use
them, and how to optimize them. It retains the clarity and humor of
Threads Primer, but includes expanded comparisons to Win32 and OS/2
implementations. Code examples tested on all of the major UNIX platforms
are featured along with detailed explanations of how and why they use threads.
Programming the PERL DBI: Database Programming with PERL
Programming the Perl DBI is coauthored by Alligator Descartes, one
of the most active members of the DBI community, and by Tim Bunce, the
inventor of DBI. For the uninitiated, the book explains the architecture
of DBI and shows you how to write DBI-based programs. For the experienced
DBI dabbler, this book explains DBI's nuances and the peculiarities of each
individual DBD.
The book includes:
An introduction to DBI and its design.
How to construct queries and bind parameters.
Working with database, driver, and statement handles.
The following book has been recommended by several people on the MySQL
mailing list:
Judith S. Bowman, Sandra L. Emerson and Marcy Darnovsky
The Practical SQL Handbook: Using Structured Query Language
Second Edition
Addison-Wesley
ISBN 0-201-62623-3
http://www.awl.com
The following book has also received some recommendations by MySQL
users:
Martin Gruber
Understanding SQL
ISBN 0-89588-644-8
Publisher Sybex 510 523 8233
Alameda, CA USA
A SQL tutorial is available on the net at
http://w3.one.net/~jhoffman/sqltut.htm
Sonork, Instant Messenger that is not only Internet oriented. It's
focused on private networks and on small to medium companies. Client
is free, server is free for up to 5 seats.
StWeb - Stratos Web and Application server - An easy-to-use, cross
platform, Internet/Intranet development and deployment system for
development of web-enabled applications. The standard version of StWeb
has a native interface to MySQL database.
PhoneSweepT is the world's first commercial Telephone Scanner. Many break-ins
in recent years have come not through the Internet, but through unauthorized
dial-up modems. PhoneSweep lets you find these modems by repeatedly placing
phone calls to every phone number that your organization
controls. PhoneSweep has a built-in expert system that can recognize
more than 250 different kinds of remote-access programs, including
Carbon Copy(TM), pcANYWHERE(TM), and Windows NT RAS. All information is stored
in the SQL database. It then generates a comprehensive report detailing
which services were discovered on which dial-up numbers in your organization.
M2D, a MySQL Administration client for Windows. M2D supports
administration of MySQL databases, creation of new databases and
tables, editing, and more.
dbServ is an extension to a web server to integrate database output into
your HTML code. You may use any HTML function in your output. Only the
client will stop you. It works as standalone server or as Java servlet.
Webmerger - This CGI tool interprets files and generates dynamic output
based on a set of simple tags. Ready-to-run drivers for MySQL and
PostgreSQL through ODBC.
pwPage - provides an extremely fast and simple approach to the creation
of database forms. That is, if a database table exists and an HTML page
has been constructed using a few simple guidelines, pwPage can be
immediately used for table data selections, insertions, updates, deletions
and selectable table content reviewing.
talentsoft Web+ 4.6 - a powerful and comprehensive development language for
use in creating web-based client/server applications without writing
complicated, low-level, and time-consuming CGI programs.
The unixODBC Project goals are to develop and promote unixODBC to be the
definitive standard for ODBC on the Linux platform. This is to include GUI
support for KDE.
qpopmysql - A patch to allow POP3 authentication from a MySQL
database. There's also a link to Paul Khavkine's patch for Procmail to
allow any MTA to deliver to users in a MySQL database.
A library that emulates BSD sockets and pthreads on Macintosh. This can
be used if you want to compile the MySQL client library on Mac.
It could probably even be sued to port MySQL to Macintosh, but we
don't know of anyone that has tried that.
SCMDB - an add-on for SCM that ports the MySQL C library to scheme
(SCM). With this library scheme developers can make connections to a
MySQL database and use embedded SQL in their programs.
The Small Application Toolkit (SAT) is a collection of utilities
intended to simplify the development of small, multi-user, GUI based
applications in a (Microsoft -or- X) Windows Client / Unix Server
environment.
Pluribus is a free search engine that learns to improve
the quality of its results over time. Pluribus works by recording
which pages a user prefers among those returned for a query. A user
votes for a page by selecting it; Pluribus then uses that knowledge
to improve the quality of the results when someone else submits the
same (or similar) query. Uses PHP and MySQL.
Old Photo Album - The album is a collaborative popular history of photography
project that generates all pages from data stored in a MySQL
database. Pages are dynamically generated through a php3 interface to the
database content. Users contribute images and descriptions. Contributed
images are stored on the web server to avoid storing them in the database
as BLOBs. All other information is stored on the shared MySQL server.
Tek-Tips Forums are 800+ independent peer-to-peer non-commercial support
forums for Computer Professionals. Features include automatic e-mail
notification of responses, a links library, and member confidentiality
guaranteed.
There are also many Web pages that use MySQL. See section B Some MySQL Users.
Send any additions to this list to webmaster@mysql.com. We now
require that you show a MySQL logo somewhere if you wish your
site to be added. It is okay to have it on a ``used tools'' page or
something similar.
Only the address to which you send your messages is significant. The
subject line and the body of the message are ignored.
If your reply address is not valid, you can specify your address
explicitly. Adding a hyphen to the subscribe or unsubscribe command
word, followed by your address with the `@' character in your
address replaced by a `='. For example, to subscribe
your_name@host.domain, send a message to
mysql-subscribe-your_name=host.domain@lists.mysql.com.
To post a message to the list itself, send your message to
mysql@lists.mysql.com. However, please do not send mail about
subscribing or unsubscribing to mysql@lists.mysql.com, because any
mail sent to that address is distributed automatically to thousands of other
users.
Your local site may have many subscribers to mysql@lists.mysql.com.
If so, it may have a local mailing list, so that messages sent from
lists.mysql.com to your site are propagated to the local list. In such
cases, please contact your system administrator to be added to or dropped
from the local MySQL list.
If you wish to have traffic for a mailing list go to a separate mailbox in
your mail program, set up a filter based on the message headers. You can
use either the List-ID: or Delivered-To: headers to identify
list messages.
The main list for general MySQL discussion. Please note that some
topics are better discussed on the more-specialized lists. If you post to the
wrong list, you may not get an answer!
On this list you should only post a full, repeatable bug report using
the mysqlbug script (if you are running on Windows, you should
include a description of the operating system and the MySQL version).
Preferably, you should test the problem using the latest stable or development
version of MySQL before posting! Anyone should be able to repeat the
bug by just using mysql test < script on the included test case. All
bugs posted on this list will be corrected or documented in the next
MySQL release! If there are only small code changes involved, we
will also post a patch that fixes the problem.
You subscribe or unsubscribe to all lists in the same way as described
above. In your subscribe or unsubscribe message, just put the appropriate
mailing list name rather than mysql. For example, to subscribe to or
unsubscribe from the myodbc list, send a message to
myodbc-subscribe@lists.mysql.com or
myodbc-unsubscribe@lists.mysql.com.
If you can't get an answer for your questions from the mailing list, one
option is to pay for support from MySQL AB, which will put you
in direct contact with MySQL developers. See section 1.3.5 Types of Commercial Support.
The following table shows some MySQL mailing in other languages than
English. Note that these are not operated by MySQL AB, so we can't
guarantee the quality on these.
Before posting a bug report or question, please do the following:
Start by searching the MySQL online manual at:
http://www.mysql.com/documentation/manual.php
We try to keep the manual up to date by updating it frequently with
solutions to newly found problems!
If you can't find an answer in the manual or the archives, check with your
local MySQL expert. If you still can't find an answer to your
question, go ahead and read the next section about how to send mail to
mysql@lists.mysql.com.
Writing a good bug report takes patience, but doing it right the first
time saves time for us and for you. A good bug report containing a full
test case for the bug will make it very likely that we will fix it in
the next release. This section will help you write your report correctly
so that you don't waste your time doing things that may not help us much
or at all.
We encourage everyone to use the mysqlbug script to generate a bug
report (or a report about any problem), if possible. mysqlbug can be
found in the `scripts' directory in the source distribution, or, for a
binary distribution, in the `bin' directory under your MySQL
installation directory. If you are unable to use mysqlbug, you should
still include all the necessary information listed in this section.
The mysqlbug script helps you generate a report by determining much
of the following information automatically, but if something important is
missing, please include it with your message! Please read this section
carefully and make sure that all the information described here is included
in your report.
The normal place to report bugs and problems is
mysql@lists.mysql.com. If you can make a test case that clearly
demonstrates the bug, you should post it to the bugs@lists.mysql.com
list. Note that on this list you should only post a full, repeatable bug
report using the mysqlbug script. If you are running on Windows,
you should include a description of the operating system and the
MySQL version. Preferably, you should test the problem using
the latest stable or development version of MySQL before
posting! Anyone should be able to repeat the bug by just using
``mysql test < script'' on the included test case or run the
shell or perl script that is included in the bug report. All bugs
posted on the bugs list will be corrected or documented in the next
MySQL release! If there are only small code changes involved
to correct this problem, we will also post a patch that fixes the
problem.
Remember that it is possible to respond to a message containing too much
information, but not to one containing too little. Often people omit facts
because they think they know the cause of a problem and assume that some
details don't matter. A good principle is: if you are in doubt about stating
something, state it! It is a thousand times faster and less troublesome to
write a couple of lines more in your report than to be forced to ask again
and wait for the answer because you didn't include enough information the
first time.
The most common errors are that people don't indicate the version number of
the MySQL distribution they are using, or don't indicate what
platform they have MySQL installed on (including the platform
version number). This is highly relevant information, and in 99 cases out of
100 the bug report is useless without it! Very often we get questions like,
``Why doesn't this work for me?'' then we find that the feature
requested wasn't implemented in that MySQL version, or that a bug
described in a report has been fixed already in newer MySQL
versions. Sometimes the error is platform dependent; in such cases, it is
next to impossible to fix anything without knowing the operating system and
the version number of the platform.
Remember also to provide information about your compiler, if it is related to
the problem. Often people find bugs in compilers and think the problem is
MySQL-related. Most compilers are under development all the time and
become better version by version. To determine whether or not your
problem depends on your compiler, we need to know what compiler is used.
Note that every compiling problem should be regarded as a bug report and
reported accordingly.
It is most helpful when a good description of the problem is included in the
bug report. That is, a good example of all the things you did that led to
the problem and the problem itself exactly described. The best reports are
those that include a full example showing how to reproduce the bug or
problem. See section G.1.6 Making a test case when you experience table corruption.
If a program produces an error message, it is very important to include the
message in your report! If we try to search for something from the archives
using programs, it is better that the error message reported exactly matches
the one that the program produces. (Even the case should be observed!)
You should never try to remember what the error message was; instead, copy
and paste the entire message into your report!
Please remember that many of the people who will read your report will
do so using an 80-column display. When generating reports or examples
using the mysql command line tool, you should therefore use
the --vertical option (or the \G statement terminator)
for output that would exceed the available width for such a display
(for example, with the EXPLAIN SELECT statement; see the
example below).
Please include the following information in your report:
The version number of the MySQL distribution you are using (for
example, MySQL Version 3.22.22). You can find out which version you
are running by executing mysqladmin version. mysqladmin can be
found in the `bin' directory under your MySQL installation
directory.
The manufacturer and model of the machine you are working on.
The operating system name and version. For most operating systems, you can
get this information by executing the Unix command uname -a.
Sometimes the amount of memory (real and virtual) is relevant. If in doubt,
include these values.
If you are using a source distribution of MySQL, the name and
version number of the compiler used is needed. If you have a binary
distribution, the distribution name is needed.
If the problem occurs during compilation, include the exact error
message(s) and also a few lines of context around the offending code in the
file where the error occurred.
If any database table is related to the problem, include the output from
mysqldump --no-data db_name tbl_name1 tbl_name2 .... This is very easy
to do and is a powerful way to get information about any table in a database
that will help us create a situation matching the one you have.
For speed-related bugs or problems with SELECT statements, you should
always include the output of EXPLAIN SELECT ..., and at least the
number of rows that the SELECT statement produces. The more
information you give about your situation, the more likely it is that someone
can help you! For example, the following is an example of a very good bug
report (it should of course be posted with the mysqlbug script):
Example run using the mysql command line tool (note the use of the
\G statement terminator for statements whose output width would
otherwise exceed that of an 80-column display device):
mysql> SHOW VARIABLES;
mysql> SHOW COLUMNS FROM ...\G
<output from SHOW COLUMNS>
mysql> EXPLAIN SELECT ...\G
<output from EXPLAIN>
mysql> FLUSH STATUS;
mysql> SELECT ...;
<A short version of the output from SELECT,
including the time taken to run the query>
mysql> SHOW STATUS;
<output from SHOW STATUS>
If a bug or problem occurs while running mysqld, try to provide an
input script that will reproduce the anomaly. This script should include any
necessary source files. The more closely the script can reproduce your
situation, the better. If you can make a repeatable test case, you should
post this to bugs@lists.mysql.com for a high priority treatment!
If you can't provide a script, you should at least include the output
from mysqladmin variables extended-status processlist in your mail to
provide some information of how your system is performing!
If you can't produce a test case in a few rows, or if the test table
is too big to be mailed to the mailing list (more than 10 rows), you should
dump your tables using mysqldump and create a `README' file
that describes your problem.
Create a compressed archive of your files using
tar and gzip or zip, and use ftp to transfer the
archive to ftp://support.mysql.com/pub/mysql/secret/. Then send a
short description of the problem to bugs@lists.mysql.com.
If you think that MySQL produces a strange result from a query,
include not only the result, but also your opinion of what the result
should be, and an account describing the basis for your opinion.
When giving an example of the problem, it's better to use the variable names,
table names, etc., that exist in your actual situation than to come up with
new names. The problem could be related to the name of a variable or table!
These cases are rare, perhaps, but it is better to be safe than sorry.
After all, it should be easier for you to provide an example that uses your
actual situation, and it is by all means better for us. In case you have data
you don't want to show to others, you can use ftp to transfer it to
ftp://support.mysql.com/pub/mysql/secret/. If the data are really top
secret and you don't want to show them even to us, then go ahead and provide
an example using other names, but please regard this as the last choice.
Include all the options given to the relevant programs, if possible. For
example, indicate the options that you use when you start the mysqld
daemon and that you use to run any MySQL client programs. The
options to programs like mysqld and mysql, and to the
configure script, are often keys to answers and are very relevant!
It is never a bad idea to include them anyway! If you use any modules, such
as Perl or PHP, please include the version number(s) of those as well.
If your question is related to the privilege system, please include the
output of mysqlaccess, the output of mysqladmin reload, and all
the error messages you get when trying to connect! When you test your
privileges, you should first run mysqlaccess. After this, execute
mysqladmin reload version and try to connect with the program that
gives you trouble. mysqlaccess can be found in the `bin'
directory under your MySQL installation directory.
If you have a patch for a bug, that is good, but don't assume the patch is
all we need, or that we will use it, if you don't provide some necessary
information, such as test cases showing the bug that your patch fixes. We
might find problems with your patch or we might not understand it at all; if
so, we can't use it.
If we can't verify exactly what the patch is meant for, we won't use it.
Test cases will help us here. Show that the patch will handle all the
situations that may occur. If we find a borderline case (even a rare one)
where the patch won't work, it may be useless.
Guesses about what the bug is, why it occurs, or what it depends on,
are usually wrong. Even the MySQL team can't guess such things
without first using a debugger to determine the real cause of a bug.
Indicate in your mail message that you have checked the reference manual
and mail archive so others know that you have tried to solve the
problem yourself.
If you get a parse error, please check your syntax closely! If
you can't find something wrong with it, it's extremely likely that your
current version of MySQL doesn't support the query you are
using. If you are using the current version and the manual at
http://www.mysql.com/documentation/manual.php doesn't cover the
syntax you are using, MySQL doesn't support your query. In this
case, your only options are to implement the syntax yourself or e-mail
mysql-licensing@mysql.com and ask for an offer to implement it!
If the manual covers the syntax you are using, but you have an older version
of MySQL, you should check the MySQL change history to see
when the syntax was implemented. In this case, you have the option of
upgrading to a newer version of MySQL. See section F MySQL change history.
If you have a problem such that your data appears corrupt or you get
errors when you access some particular table, you should first check and then
try repairing your tables with myisamchk or CHECK TABLE and
REPAIR TABLE. See section 4 MySQL Database Administration.
If you often get corrupted tables you should try to find out when and why this
happens! In this case, the `mysql-data-directory/'hostname'.err' file
may contain some information about what happened. See section 4.9.1 The Error Log. Please
include any relevant information from this file in your bug report! Normally
mysqld should NEVER crash a table if nothing killed it in the
middle of an update! If you can find the cause of mysqld dying,
it's much easier for us to provide you with a fix for the problem!
See section A.1 How to Determine What Is Causing Problems.
If possible, download and install the most recent version of MySQL
and check whether or not it solves your problem. All versions of
MySQL are thoroughly tested and should work without problems! We
believe in making everything as backward compatible as possible, and you
should be able to switch MySQL versions in minutes!
See section 2.2.3 Which MySQL Version to Use.
If you are a support customer, please cross-post the bug report to
mysql-support@mysql.com for higher priority treatment, as well as to
the appropriate mailing list to see if someone else has experienced (and
perhaps solved) the problem.
When answers are sent to you individually and not to the mailing list,
it is considered good etiquette to summarize the answers and send the
summary to the mailing list so that others may have the benefit of
responses you received that helped you solve your problem!
If you consider your answer to have broad interest, you may want to post it
to the mailing list instead of replying directly to the individual who
asked. Try to make your answer general enough that people other than the
original poster may benefit from it. When you post to the list, please make
sure that your answer is not a duplication of a previous answer.
Try to summarize the essential part of the question in your reply; don't feel
obliged to quote the entire original message.
Please don't post mail messages from your browser with HTML mode turned on!
Many users don't read mail with a browser!
The formal terms of the GPL license can be found at section K GNU GENERAL PUBLIC LICENSE.
Basically, our licensing policy and interpretation of the GPL is as follows:
Note that older versions of MySQL are still using a more
strict license.
See the documentation for that version for more information. If you need a
commercial MySQL license, because the GPL license doesn't suit your
application, you can buy one at https://order.mysql.com/.
For normal internal use, MySQL costs nothing. You do not have
to pay us if you do not want to.
A license is required if:
You link a program, that is not free software, with code from the
MySQL server or clients that has the GPL copyright. This
happens for example when you use MySQL as an embedded server
in your applications or when you add not free extensions to the
MySQL server. In this case your application/code would also
become GPL through the GPL license that acts as a virus. By licensing
MySQL server from MySQL AB under a commercial
license you will avoid this problem.
See http://www.gnu.org/copyleft/gpl-faq.html.
You have a commercial application that ONLY works with MySQL
and ships the application with the MySQL server. This is
because we view this as linking even if it is done over the network.
You have a distribution of MySQL and you don't provide the
source code for your copy of the MySQL server, as defined in
the GPL license.
A license is NOT required if:
You do not need a license to include the client code in commercial
programs. The client part of MySQL licensed with the
LGPL GNU Library General Public License. The mysql command-line
client includes code from the readline library that is under
the GPL.
If your use of MySQL does not require a license, but you
like MySQL and want to encourage further development, you are
certainly welcome to purchase a license or MySQL support anyway.
If you use MySQL in a commercial context such that you profit by
its use, we ask that you further the development of MySQL by
purchasing some level of support. We feel that if MySQL helps
your business, it is reasonable to ask that you help MySQL.
(Otherwise, if you ask us support questions, you are not only using for
free something into which we've put a lot a work, you're asking us to
provide free support, too.)
For circumstances under which a MySQL license is required, you
need a license per machine that runs the mysqld server. However,
a multiple-CPU machine counts as a single machine, and there is no
restriction on the number of MySQL servers that run on one
machine, or on the number of clients concurrently connected to a server
running on that machine!
If you have any questions as to whether or not a license is required for
your particular use of MySQL, please read this again and then
contact us. See section 1.3.4.2 Contact Information.
If you require a MySQL license, the easiest way to pay for it
is to use the license form on MySQL's secure server at
https://order.mysql.com/. Other forms of payment are
discussed in section 1.3.4.1 Payment information.
There are several different copyrights on the MySQL distribution:
The MySQL-specific source needed to build the
mysqlclient library is licensed under the LGPL and
programs in the `client' directory is GPL. Each file has a header
that shows which copyright is used for that file.
The client library and the (GNU getopt) library are covered
by the ``GNU LIBRARY GENERAL PUBLIC LICENSE.'' See section L GNU LESSER GENERAL PUBLIC LICENSE.
Some parts of the source (the regexp library) are covered
by a Berkeley-style copyright.
All the source in the server and the (GNU readline) library
is covered by the ``GNU GENERAL PUBLIC LICENSE.'' See section K GNU GENERAL PUBLIC LICENSE.
This is also available as the file `COPYING' in the distributions.
One goal is that the SQL client library should be free enough that it is
possible to add MySQL support into commercial products
without a license. For this reason, we chose the LGPL license for the
client code.
This means that you can use MySQL for free with any program that uses
any of the free software licenses. MySQL is also free for any end
user for his own or company usage.
However, if you use MySQL for something important to you, you may
want to help secure its development by purchasing licenses or a support
contract. See section 1.3.5 Types of Commercial Support.
This section describes some situations illustrating whether or not you
must license the MySQL server. Generally these examples
involve providing MySQL as an integral part of a product.
Note that a single MySQL license covers any number of CPUs and
mysqld servers on a machine! There is no artificial limit on the
number of clients that connect to the server in any way.
To determine whether or not you need a MySQL license when
selling your application, you should ask whether the proper functioning
of your application is dependent on the use of MySQL and
whether you include the MySQL server with your product. There
are several cases to consider:
Does your application require MySQL to function properly?
If your product requires MySQL, you need a license for any
machine that runs the mysqld server. For example, if you've
designed your application around MySQL, then you've really made
a commercial product that requires the engine, so you need a license.
If your application does not require MySQL, you do not need to obtain
a license. For example, if using MySQL just adds some new optional
features to your product (such as adding logging to a database if
MySQL is used rather than logging to a text file), it should
fall within normal use, and a license would not be required.
In other words, you need a license if you sell a product designed
specifically for use with MySQL or that requires the
MySQL server to function at all. This is true whether or not
you provide MySQL for your client as part of your product
distribution.
It also depends on what you're doing for the client. Do you plan to
provide your client with detailed instructions on installing
MySQL with your software? Then your product may be contingent
on the use of MySQL; if so, you need to buy a license. If you
are simply tying into a database that you expect already to have been
installed by the time your software is purchased, then you probably
don't need a license.
Internet Service Providers (ISPs) often host MySQL servers for
their customers. With the GPL license this does not require a license.
On the other hand, we do encourage people to use ISPs that have
MySQL support, as this will give them the confidence that if
they have some problem with their MySQL installation, their ISP
will be able to solve the problem for them (in some cases with the help
from the MySQL development team).
All ISPs that want to keep themselves up-to-date should subscribe
to our announce mailing list so that they can be aware of fatal issues
that may be relevant for their MySQL installations.
Note that if the ISP doesn't have a license for MySQL,
it should give its customers at least read access to the source of
the MySQL installation so that its customer can verify that
it is patched correctly.
If you use MySQL in conjunction with a Web server on Unix, you
don't have to pay for a license.
This is true even if you run a commercial Web server that uses
MySQL, because you are not selling an embedded MySQL
version yourself. However, in this case we would like you to purchase
MySQL support, because MySQL is helping your enterprise.
Our current license prices are shown below. To make a purchase, please visit
https://order.mysql.com/.
If you pay by credit card, the currency is EURO (European Union Euro) so the
prices will differ slightly.
Number of licenses
Per copy
1-9
230 EURO
10-24
138 EURO
25-49
117 EURO
50-99
102 EURO
100-249
91 EURO
250-499
76 EURO
500-999
66 EURO
For high volume (OEM) purchases, please contact
sales@mysql.com.
For OEM purchases, you must act as the middle-man for eventual problems
or extension requests from your users. We also require that OEM
customers have at least an extended e-mail support contract. Note that
OEM licenses only apply for products where the user doesn't have direct
access to the MySQL server (embedded system). In other words,
the MySQL server should only be used with the application
that was supplied you.
If you have a low-margin, high-volume product, you can always talk to us
about other terms (for example, a percent of the sale price). If you do,
please be informative about your product, pricing, market, and any other
information that may be relevant.
A full-price license is not a support agreement and includes very minimal
support. This means that we try to answer any relevant questions. If the
answer is in the documentation, we will direct you to the appropriate
section. If you have not purchased a license or support, we probably will
not answer at all.
If you discover what we consider a real bug, we are likely to fix it in
any case. But if you pay for support we will notify you about the fix
status instead of just fixing it in a later release.
More comprehensive support is sold separately. Descriptions of what each
level of support includes are given in section 1.3.5 Types of Commercial Support. Costs for the various
types of commercial support are shown below. Support level prices are in
EURO (European Union Euro). One EURO is about 1.06 USD.
You may upgrade from any lower level of support to a higher level of
support for the difference in price between the two support levels.
We do also provide telephone support (mostly emergency support but also
24/7 support). This support option doesn't however have a fixed price
but is negotiated for case to case. If you are interested in this option
you can email sales@mysql.com and tell us about your needs.
Note that as our sales staff is very busy, it may take some time until
your request is handled. Our support staff does however always answer
promptly to support questions!
You can also print a copy of the license form, fill it in, and send it by fax
to:
+46-8-729 69 05
If you want us to bill you, you can use the license form and write ``bill
us'' in the comment field. You can also mail a message to
sales@mysql.com (notmysql@lists.mysql.com!)
with your company information and ask us to bill you.
For commercial licensing, please contact the MySQL licensing
team. The much preferred method is by e-mail to
licensing@mysql.com. Fax is also possible but handling of
these may take much longer (Fax +46-8-729 69 05).
If you represent a business that is interested in partnering with
MySQL, please send e-mail to partner@mysql.com.
For timely, precise answers to technical questions about MySQL
you should order one of our
support contracts.
MySQL support is provided by the MySQL developers so the
standard is extremely high.
If you are interested in placing a banner advertisement on our Web site,
please send e-mail to advertising@mysql.com.
If you are interested in any of the jobs listed in our
jobs section, please send e-mail
to jobs@mysql.com.
For general discussion amongst our many users, please direct your attention to
the appropriate mailing
list.
For general information inquires, please send e-mail to
info@mysql.com.
For questions or comments about the workings or content of the Web site,
please send e-mail to webmaster@mysql.com.
We will fix, or provide a reasonable workaround for any repeatable bug.
We will give a reasonable effort to find and fix any other MySQL related bug.
The higher level of support contract the more effort we will put into finding
a solution to your problems.
The following is true for all support contracts except Basic email support:
For non-bug related things, like helping you optimize your queries or
your system, extending MySQL with new functionality, etc., we charge 200
EURO/hour, which is deducted from your support contract. In other words,
if you have login support (2000 EURO), you can expect us to work up to
10 hours to help you with things like this.
Basic e-mail support is a very inexpensive support option and should be
thought of more as a way to support our development of MySQL
than as a real support option. We at MySQL do give a lot of free
support in all the different MySQL lists, and the money we get from
basic e-mail support is largely used to make this possible.
At this support level, the MySQL mailing lists are the preferred
means of communication. Questions normally should be mailed to the primary
mailing list (mysql@lists.mysql.com) or one of the other regular
lists (for example, win32@lists.mysql.com for Windows-related
MySQL questions), as someone else already may have experienced and
solved the problem you have. See section 1.2.22.2 Asking Questions or Reporting Bugs.
However, by purchasing basic e-mail support, you also have access to the
support address mysql-support@mysql.com, which is not available
as part of the minimal support that you get by purchasing a MySQL
license. This means that for especially critical questions, you can
cross-post your message to mysql-support@mysql.com. (If the
message contains sensitive data, you should post only to
mysql-support@mysql.com.)
REMEMBER! to ALWAYS include your registration number and expiration
date when you send a message to mysql-support@mysql.com.
Note that if you have encountered a critical, repeatable bug, and follow
the rules outlined in the manual section of how to report bugs and send
it to bugs@lists.mysql.com, we promise to try to fix this as
soon as possible, regardless of your support level! See section 1.2.22.3 How to Report Bugs or Problems.
Basic e-mail support includes the following types of service:
If your question is already answered in the manual, we will inform you of the
correct section in which you can find the answer. If the answer is not in
the manual, we will point you in the right direction to solve your problem.
We guarantee a timely answer for your e-mail messages. We can't guarantee
that we can solve any problem, but at least you will receive an answer if we
can contact you by e-mail.
We will help with unexpected problems when you install MySQL from a
binary distribution on supported platforms. This level of support does not
cover installing MySQL from a source distribution. Supported
platforms are those for which MySQL is known to work.
See section 2.2.2 Operating Systems Supported by MySQL.
We will help you with bugs and missing features. Any bugs that are found are
fixed for the next MySQL release. If the bug is critical for
you, we will mail you a patch for it as soon the bug is fixed. Critical
bugs always have the highest priority for us, and we ensure that they are
fixed as soon as possible.
Your suggestions for the further development of MySQL will be
taken into consideration. By taking email support you have already
helped the further development of MySQL. If you want to have
more input, upgrade to a higher level of support.
If you want us to help optimize your system, you must upgrade to a
higher level of support.
Extended e-mail support includes everything in basic e-mail support with
these additions:
Your e-mail will be dealt with before mail from basic e-mail support users and
non-registered users.
Your suggestions for the further development of MySQL will
receive strong consideration. Simple extensions that suit the basic
goals of MySQL are implemented in a matter of days. By taking
extended e-mail support you have already helped the further development
of MySQL.
Typical situations that are covered by extended e-mail support are:
We will answer and (within reason) solve questions that relate to possible
bugs in MySQL. As soon as the bug is found and corrected, we
will mail a patch for it.
We will help with unexpected problems when you install MySQL from a
source or binary distribution on supported platforms.
We will answer questions about missing features and offer hints how to work
around them.
We will provide hints on optimizing mysqld for your situation.
You are allowed to influence the priority of items on the MySQL
TODO List. See section 1.6 MySQL and the future (The TODO). This will ensure that the features you really need
will be implemented sooner than they might be otherwise.
Login support includes everything in extended e-mail support with
these additions:
Your e-mail will be dealt with even before e-mail from extended e-mail
support users.
Your suggestions for the further development of MySQL will
be taken into very high consideration. Realistic extensions that can be
implemented in a couple of hours and that suit the basic goals of
MySQL will be implemented as soon as possible.
If you have a very specific problem, we can try to log in on your system
to solve the problem ``in place.''
Like any database vendor, we can't guarantee that we can rescue any data from
crashed tables, but if the worst happens, we will help you rescue as much as
possible. MySQL has proven itself very reliable, but anything is
possible due to circumstances beyond our control (for example, if your system
crashes or someone kills the server by executing a kill -9 command).
We will provide hints on optimizing your system and your queries.
You are allowed to call a MySQL developer (in moderation) and
discuss your MySQL-related problems. This option is however
only to be used as a last result during an emergency after we have
failed to grasp the total problem with email. To make efficient
use of our time we need to first get all facts about the problem,
before talking on phone, to be able to work as efficiently as possible on
solving the problem.
Extended login support includes everything in login support with these
additions:
Your e-mail has the highest possible priority.
We will actively examine your system and help you optimize it and your
queries. We may also optimize and/or extend MySQL to better
suit your needs.
You may also request special extensions just for you. For example:
mysql> select MY_FUNC(col1,col2) from table;
We will provide a binary distribution of all important MySQL
releases for your system, as long as we can get an account on a
similar system. In the worst case, we may require access to your system
to be able to create a binary distribution.
If you can provide accommodations and pay for traveler fares, you can
even get a MySQL developer to visit you and offer you help with
your troubles. Extended login support entitles you to one personal
encounter per year, but we are always very flexible towards our
customers! If the visit takes 16 hours or more, the first 8 hours is
without charge. For the hours above 8 hours, you will be charged with a
rate that is at least 20 % less than our standard rates.
To get support for BDB tables, InnoDB tables you have
to pay an additional 30% on the standard support price for each of
the table handlers you would like to have support for.
We at MySQL AB will help you create a proper bug report for the
table handler and submit it to the developers for the specific table
handler. We will also do our best to ensure that you will get a timely
answer or solution from the developers of the table handler.
Even if we are quite confident that we can solve most problems within a
timely manner, we can't guarantee a quick solution for any problems you
can get with the different table handlers. We will however do our best
to help you get the problem solved.
Bugs: Known errors and design deficiencies in MySQL
This section describes how MySQL relates to the ANSI SQL standards.
MySQL has many extensions to the ANSI SQL standards, and here you
will find out what they are, and how to use them. You will also find
information about functionality missing from MySQL, and how to work
around some differences.
MySQL includes some extensions that you probably will not find in
other SQL databases. Be warned that if you use them, your code will not be
portable to other SQL servers. In some cases, you can write code that
includes MySQL extensions, but is still portable, by using comments
of the form /*! ... */. In this case, MySQL will parse and
execute the code within the comment as it would any other MySQL
statement, but other SQL servers will ignore the extensions. For example:
SELECT /*! STRAIGHT_JOIN */ col_name FROM table1,table2 WHERE ...
If you add a version number after the '!', the syntax will only be
executed if the MySQL version is equal to or newer than the used
version number:
CREATE /*!32302 TEMPORARY */ TABLE (a int);
The above means that if you have Version 3.23.02 or newer, then MySQL
will use the TEMPORARY keyword.
MySQL extensions are listed below:
The field types MEDIUMINT, SET, ENUM, and the
different BLOB and TEXT types.
The field attributes AUTO_INCREMENT, BINARY, NULL,
UNSIGNED, and ZEROFILL.
All string comparisons are case insensitive by default, with sort
ordering determined by the current character set (ISO-8859-1 Latin1 by
default). If you don't like this, you should declare your columns with
the BINARY attribute or use the BINARY cast, which causes
comparisons to be done according to the ASCII order used on the
MySQL server host.
MySQL maps each database to a directory under the MySQL
data directory, and tables within a database to filenames in the database
directory.
This has a few implications:
Database names and table names are case sensitive in MySQL on
operating systems that have case-sensitive filenames (like most Unix
systems). See section 6.1.3 Case Sensitivity in Names.
Database, table, index, column, or alias names may begin with a digit
(but may not consist solely of digits).
You can use standard system commands to backup, rename, move, delete, and copy
tables. For example, to rename a table, rename the `.MYD', `.MYI',
and `.frm' files to which the table corresponds.
In SQL statements, you can access tables from different databases
with the db_name.tbl_name syntax. Some SQL servers provide
the same functionality but call this User space.
MySQL doesn't support tablespaces as in:
create table ralph.my_table...IN my_tablespace.
LIKE is allowed on numeric columns.
Use of INTO OUTFILE and STRAIGHT_JOIN in a SELECT
statement. See section 6.4.1 SELECT Syntax.
The SQL_SMALL_RESULT option in a SELECT statement.
EXPLAIN SELECT to get a description on how tables are joined.
Use of index names, indexes on a prefix of a field, and use of
INDEX or KEY in a CREATE TABLE
statement. See section 6.5.3 CREATE TABLE Syntax.
Use of TEMPORARY or IF NOT EXISTS with CREATE TABLE.
Use of COUNT(DISTINCT list) where 'list' is more than one element.
Use of CHANGE col_name, DROP col_name, or DROP
INDEX, IGNORE or RENAME in an ALTER TABLE
statement. See section 6.5.4 ALTER TABLE Syntax.
You don't need to name all selected columns in the GROUP BY part.
This gives better performance for some very specific, but quite normal
queries.
See section M.3 Functions for Use with GROUP BY Clauses.
One can specify ASC and DESC with GROUP BY.
To make it easier for users who come from other SQL environments,
MySQL supports aliases for many functions. For example, all
string functions support both ANSI SQL syntax and ODBC syntax.
MySQL understands the || and && operators to mean
logical OR and AND, as in the C programming language. In MySQL,
|| and OR are synonyms, as are && and AND.
Because of this nice syntax, MySQL doesn't support
the ANSI SQL || operator for string concatenation; use
CONCAT() instead. Because CONCAT() takes any number
of arguments, it's easy to convert use of the || operator to
MySQL.
The % operator is a synonym for MOD(). That is,
N % M is equivalent to MOD(N,M). % is supported
for C programmers and for compatibility with PostgreSQL.
The =, <>, <= ,<, >=,>,
<<, >>, <=>, AND, OR, or LIKE
operators may be used in column comparisons to the left of the
FROM in SELECT statements. For example:
Privileges for a table are not automatically revoked when you delete a
table. You must explicitly issue a REVOKE to revoke privileges for
a table. See section 4.3.1 GRANT and REVOKE Syntax.
NULL AND FALSE will evaluate to NULL and not to FALSE.
This is because we don't think it's good to have to evaluate a lot of
extra conditions in this case.
The following functionality is missing in the current version of
MySQL. For a prioritized list indicating when new extensions
may be added to MySQL, you should consult
the
online MySQL TODO list. That is the latest version of the TODO
list in this manual. See section 1.6 MySQL and the future (The TODO).
MySQL currently only supports sub selects of the form INSERT
... SELECT ... and REPLACE ... SELECT .... You can however use
the function IN() in other contexts.
In many cases you can rewrite the query without a sub-select:
SELECT * FROM table1 WHERE id IN (SELECT id FROM table2);
This can be re-written as:
SELECT table1.* FROM table1,table2 WHERE table1.id=table2.id;
The queries:
SELECT * FROM table1 WHERE id NOT IN (SELECT id FROM table2);
SELECT * FROM table1 WHERE NOT EXISTS (SELECT id FROM table2 where table1.id=table2.id);
Can be rewritten as:
SELECT table1.* FROM table1 LEFT JOIN table2 ON table1.id=table2.id where table2.id IS NULL
For more complicated subqueries you can often create temporary tables
to hold the subquery. In some cases, however this option will not
work. The most frequently encountered of these cases arises with
DELETE statements, for which standard SQL does not support joins
(except in sub-selects). For this situation there are two options
available until subqueries are supported by MySQL.
The first option is to use a procedural programming language (such as
Perl or PHP) to submit a SELECT query to obtain the primary keys
for the records to be deleted, and then use these values to construct
the DELETE statement (DELETE FROM ... WHERE ... IN (key1,
key2, ...)).
The second option is to use interactive SQL to contruct a set of
DELETE statements automatically, using the MySQL
extension CONCAT() (in lieu of the standard || operator).
For example:
SELECT CONCAT('DELETE FROM tab1 WHERE pkid = ', tab1.pkid, ';')
FROM tab1, tab2
WHERE tab1.col1 = tab2.col2;
You can place this query in a script file and redirect input from it to
the mysql command-line interpreter, piping its output back to a
second instance of the interpreter:
prompt> mysql --skip-column-names mydb < myscript.sql | mysql mydb
MySQL 4.0 supports multi-table deletes that can be used to efficiently
delete rows based on information from one table or even from many tables
at the same time.
MySQL doesn't yet support the Oracle SQL extension:
SELECT ... INTO TABLE .... MySQL supports instead the
ANSI SQL syntax INSERT INTO ... SELECT ..., which is basically
the same thing. See section 6.4.2.1 INSERT ... SELECT Syntax.
INSERT INTO tblTemp2 (fldID) SELECT tblTemp1.fldOrder_ID FROM tblTemp1 WHERE
tblTemp1.fldOrder_ID > 100;
Alternatively, you can use SELECT INTO OUTFILE... or CREATE
TABLE ... SELECT to solve your problem.
As MySQL does nowadays support transactions, the following
discussion is only valid if you are only using the non-transaction-safe
table types. See section 6.7.1 BEGIN/COMMIT/ROLLBACK Syntax.
The question is often asked, by the curious and the critical, ``Why is
MySQL not a transactional database?'' or ``Why does MySQL
not support transactions?''
MySQL has made a conscious decision to support another paradigm
for data integrity, ``atomic operations.'' It is our thinking and
experience that atomic operations offer equal or even better integrity
with much better performance. We, nonetheless, appreciate and understand
the transactional database paradigm and plan, within the next few releases,
to introduce transaction-safe tables on a per table basis. We will be
giving our users the possibility to decide if they need the speed of
atomic operations or if they need to use transactional features in their
applications.
How does one use the features of MySQL to maintain rigorous integrity
and how do these features compare with the transactional paradigm?
First, in the transactional paradigm, if your applications are written
in a way that is dependent on the calling of ``rollback'' instead of
``commit'' in critical situations, then transactions are more
convenient. Moreover, transactions ensure that unfinished updates or
corrupting activities are not committed to the database; the server is
given the opportunity to do an automatic rollback and your database is
saved.
MySQL, in almost all cases, allows you to solve for potential
problems by including simple checks before updates and by running simple
scripts that check the databases for inconsistencies and automatically
repair or warn if such occurs. Note that just by using the
MySQL log or even adding one extra log, one can normally fix
tables perfectly with no data integrity loss.
Moreover, fatal transactional updates can be rewritten to be
atomic. In fact,we will go so far as to say that all integrity problems
that transactions solve can be done with LOCK TABLES or atomic updates,
ensuring that you never will get an automatic abort from the database,
which is a common problem with transactional databases.
Not even transactions can prevent all loss if the server goes down. In
such cases even a transactional system can lose data. The difference
between different systems lies in just how small the time-lap is where
they could lose data. No system is 100% secure, only ``secure
enough.'' Even Oracle, reputed to be the safest of transactional
databases, is reported to sometimes lose data in such situations.
To be safe with MySQL, you only need to have backups and have
the update logging turned on. With this you can recover from any
situation that you could with any transactional database. It is, of
course, always good to have backups, independent of which database you
use.
The transactional paradigm has its benefits and its drawbacks. Many
users and application developers depend on the ease with which they can
code around problems where an abort appears to be, or is necessary, and they
may have to do a little more work with MySQL to either think
differently or write more. If you are new to the atomic operations
paradigm, or more familiar or more comfortable with transactions, do not
jump to the conclusion that MySQL has not addressed these
issues. Reliability and integrity are foremost in our minds. Recent
estimates indicate that there are more than 1,000,000 mysqld servers
currently running, many of which are in production environments. We
hear very, very seldom from our users that they have lost any data, and
in almost all of those cases user error is involved. This is, in our
opinion, the best proof of MySQL's stability and reliability.
Lastly, in situations where integrity is of highest importance,
MySQL's current features allow for transaction-level or better
reliability and integrity. If you lock tables with LOCK TABLES, all
updates will stall until any integrity checks are made. If you only obtain
a read lock (as opposed to a write lock), then reads and inserts are
still allowed to happen. The new inserted records will not be seen by
any of the clients that have a READ lock until they release their read
locks. With INSERT DELAYED you can queue inserts into a local queue,
until the locks are released, without having the client wait for the insert
to complete. See section 6.4.3 INSERT DELAYED syntax.
``Atomic,'' in the sense that we mean it, is nothing magical. It only means
that you can be sure that while each specific update is running, no other
user can interfere with it, and there will never be an automatic
rollback (which can happen on transaction based systems if you are not
very careful). MySQL also guarantees that there will not be
any dirty reads. You can find some example of how to write atomic updates
in the commit-rollback section. See section 1.4.6 How to Cope Without COMMIT/ROLLBACK.
We have thought quite a bit about integrity and performance, and we
believe that our atomic operations paradigm allows for both high
reliability and extremely high performance, on the order of three to
five times the speed of the fastest and most optimally tuned of
transactional databases. We didn't leave out transactions because they
are hard to do. The main reason we went with atomic operations as
opposed to transactions is that by doing this we could apply many speed
optimizations that would not otherwise have been possible.
Many of our users who have speed foremost in their minds are not at all
concerned about transactions. For them transactions are not an
issue. For those of our users who are concerned with or have wondered
about transactions vis-a-vis MySQL, there is a ``MySQL
way'' as we have outlined above. For those where safety is more
important than speed, we recommend them to use the BDB,
or InnoDB tables for all their critical data. See section 7 MySQL Table Types.
One final note: We are currently working on a safe replication schema
that we believe to be better than any commercial replication system we
know of. This system will work most reliably under the atomic
operations, non-transactional, paradigm. Stay tuned.
A stored procedure is a set of SQL commands that can be compiled and stored
in the server. Once this has been done, clients don't need to keep reissuing
the entire query but can refer to the stored procedure. This provides better
performance because the query has to be parsed only once, and less information
needs to be sent between the server and the client. You can also raise the
conceptual level by having libraries of functions in the server.
A trigger is a stored procedure that is invoked when a particular event
occurs. For example, you can install a stored procedure that is triggered
each time a record is deleted from a transaction table and that automatically
deletes the corresponding customer from a customer table when all his
transactions are deleted.
The planned update language will be able to
handle stored procedures, but without triggers. Triggers usually slow
down everything, even queries for which they are not needed.
Note that foreign keys in SQL are not used to join tables, but are used
mostly for checking referential integrity (foreign key constraints). If
you want to get results from multiple tables from a SELECT
statement, you do this by joining tables:
SELECT * from table1,table2 where table1.id = table2.id;
The FOREIGN KEY syntax in MySQL exists only for compatibility
with other SQL vendors' CREATE TABLE commands; it doesn't do
anything. The FOREIGN KEY syntax without ON DELETE ... is
mostly used for documentation purposes. Some ODBC applications may use this
to produce automatic WHERE clauses, but this is usually easy to
override. FOREIGN KEY is sometimes used as a constraint check, but
this check is unnecessary in practice if rows are inserted into the tables in
the right order. MySQL only supports these clauses because some
applications require them to exist (regardless of whether or not they
work).
In MySQL, you can work around the problem of ON DELETE
... not being implemented by adding the appropriate DELETE statement to
an application when you delete records from a table that has a foreign key.
In practice this is as quick (in some cases quicker) and much more portable
than using foreign keys.
In the near future we will extend the FOREIGN KEY implementation so
that at least the information will be saved in the table specification file
and may be retrieved by mysqldump and ODBC. At a later stage we will
implement the foreign key constraints for application that can't easily be
coded to avoid them.
There are so many problems with foreign key constraints that we don't
know where to start:
Foreign key constraints make life very complicated, because the foreign
key definitions must be stored in a database and implementing them would
destroy the whole ``nice approach'' of using files that can be moved,
copied, and removed.
The speed impact is terrible for INSERT and UPDATE
statements, and in this case almost all FOREIGN KEY constraint
checks are useless because you usually insert records in the right
tables in the right order, anyway.
There is also a need to hold locks on many more tables when updating one
table, because the side effects can cascade through the entire database. It's
MUCH faster to delete records from one table first and subsequently delete
them from the other tables.
You can no longer restore a table by doing a full delete from the table
and then restoring all records (from a new source or from a backup).
If you use foreign key constraints you can't dump and restore tables
unless you do so in a very specific order.
It's very easy to do ``allowed'' circular definitions that make the
tables impossible to re-create each table with a single create statement,
even if the definition works and is usable.
It's very easy to overlook FOREIGN KEY ... ON DELETE rules when
one codes an application. It's not unusual that one loses a lot of
important information just because a wrong or misused ON DELETE rule.
The only nice aspect of FOREIGN KEY is that it gives ODBC and some
other client programs the ability to see how a table is connected and to use
this to show connection diagrams and to help in building applications.
MySQL will soon store FOREIGN KEY definitions so that a
client can ask for and receive an answer about how the original
connection was made. The current `.frm' file format does not have
any place for it. At a later stage we will implement the foreign key
constraints for application that can't easily be coded to avoid them.
MySQL doesn't yet support views, but we plan to implement these
to about 4.1.
Views are mostly useful for letting users access a set of relations as one
table (in read-only mode). Many SQL databases don't allow one to update
any rows in a view, but you have to do the updates in the separate tables.
As MySQL is mostly used in applications and on web system where
the application writer has full control on the database usage, most of
our users haven't regarded views to be very important. (At least no one
has been interested enough in this to be prepared to finance the
implementation of views).
Some other SQL databases use `--' to start comments. MySQL
has `#' as the start comment character, even if the mysql
command-line tool removes all lines that start with `--'.
You can also use the C comment style /* this is a comment */ with
MySQL.
See section 6.1.5 Comment Syntax.
MySQL Version 3.23.3 and above supports the `--' comment style
only if the comment is followed by a space. This is because this
degenerate comment style has caused many problems with automatically
generated SQL queries that have used something like the following code,
where we automatically insert the value of the payment for
!payment!:
UPDATE tbl_name SET credit=credit-!payment!
What do you think will happen when the value of payment is negative?
Because 1--1 is legal in SQL, we think it is terrible that
`--' means start comment.
In MySQL Version 3.23 you can, however, use:
1-- This is a comment
The following discussion only concerns you if you are running a MySQL
version earlier than Version 3.23:
If you have a SQL program in a text file that contains `--' comments
you should use:
The following mostly applies only for ISAM, MyISAM, and
HEAP tables. If you only use transaction-safe tables (BDB,
or InnoDB tables) in an an update, you can do
COMMIT and ROLLBACK also with MySQL.
See section 6.7.1 BEGIN/COMMIT/ROLLBACK Syntax.
The problem with handling COMMIT-ROLLBACK efficiently with
the above table types would require a completely different table layout
than MySQL uses today. The table type would also need extra
threads that do automatic cleanups on the tables, and the disk usage
would be much higher. This would make these table types about 2-4 times
slower than they are today.
For the moment, we prefer implementing the SQL server language (something
like stored procedures). With this you would very seldom really need
COMMIT-ROLLBACK. This would also give much better performance.
Loops that need transactions normally can be coded with the help of
LOCK TABLES, and you don't need cursors when you can update records
on the fly.
We at TcX had a greater need for a real fast database than a 100%
general database. Whenever we find a way to implement these features without
any speed loss, we will probably do it. For the moment, there are many more
important things to do. Check the TODO for how we prioritize things at
the moment. (Customers with higher levels of support can alter this, so
things may be reprioritized.)
The current problem is actually ROLLBACK. Without
ROLLBACK, you can do any kind of COMMIT action with
LOCK TABLES. To support ROLLBACK with the above table
types, MySQL would have to be changed to store all old records
that were updated and revert everything back to the starting point if
ROLLBACK was issued. For simple cases, this isn't that hard to do
(the current isamlog could be used for this purpose), but it
would be much more difficult to implement ROLLBACK for
ALTER/DROP/CREATE TABLE.
To avoid using ROLLBACK, you can use the following strategy:
Use LOCK TABLES ... to lock all the tables you want to access.
Test conditions.
Update if everything is okay.
Use UNLOCK TABLES to release your locks.
This is usually a much faster method than using transactions with possible
ROLLBACKs, although not always. The only situation this solution
doesn't handle is when someone kills the threads in the middle of an
update. In this case, all locks will be released but some of the updates may
not have been executed.
You can also use functions to update records in a single operation.
You can get a very efficient application by using the following techniques:
Modify fields relative to their current value.
Update only those fields that actually have changed.
For example, when we are doing updates to some customer information, we
update only the customer data that has changed and test only that none of
the changed data, or data that depend on the changed data, has changed
compared to the original row. The test for changed data is done with the
WHERE clause in the UPDATE statement. If the record wasn't
updated, we give the client a message: "Some of the data you have changed
have been changed by another user". Then we show the old row versus the new
row in a window, so the user can decide which version of the customer record
he should use.
This gives us something that is similar to column locking but is actually
even better, because we only update some of the columns, using values that
are relative to their current values. This means that typical UPDATE
statements look something like these:
UPDATE tablename SET pay_back=pay_back+'relative change';
UPDATE customer
SET
customer_date='current_date',
address='new address',
phone='new phone',
money_he_owes_us=money_he_owes_us+'new_money'
WHERE
customer_id=id AND address='old address' AND phone='old phone';
As you can see, this is very efficient and works even if another client has
changed the values in the pay_back or money_he_owes_us columns.
In many cases, users have wanted ROLLBACK and/or LOCK
TABLES for the purpose of managing unique identifiers for some tables. This
can be handled much more efficiently by using an AUTO_INCREMENT column
and either the SQL function LAST_INSERT_ID() or the C API function
mysql_insert_id(). See section 8.4.3.126 mysql_insert_id().
At MySQL AB, we have never had any need for row-level locking
because we have always been able to code around it. Some cases really need
row locking, but they are very few. If you want row-level locking, you
can use a flag column in the table and do something like this:
UPDATE tbl_name SET row_flag=1 WHERE id=ID;
MySQL returns 1 for the number of affected rows if the row was
found and row_flag wasn't already 1 in the original row.
You can think of it as MySQL changed the above query to:
UPDATE tbl_name SET row_flag=1 WHERE id=ID and row_flag <> 1;
The following problems are known and have a very high priority to get
fixed:
ANALYZE TABLE on a BDB table may in some case make the table
unusable until one has restarted mysqld. When this happens you will
see errors like the following in the MySQL error file:
001207 22:07:56 bdb: log_flush: LSN past current end-of-log
Don't execute ALTER TABLE on a BDB table on which you are
running not completed multi-statement transactions. (The transaction
will probably be ignored).
ANALYZE TABLE, OPTIMIZE TABLE and REPAIR TABLE may
cause problems on tables for which you are using INSERT DELAYED.
Doing a LOCK TABLE .. and FLUSH TABLES .. doesn't
guarantee that there isn't a half-finished transaction in progress on the
table.
BDB tables are a bit slow to open. If you have many BDB tables in a
database, it will take a long time to use the mysql client on the
database if you are not using the -A option or if you are using
rehash. This is especially notable when you have a big table
cache.
Th current replication protocol cannot deal with LOAD DATA INFILE
and line terminator characters of more than 1 character.
The following problems are known and will be fixed in due time:
For the moment MATCH only works with SELECT statements.
When using SET CHARACTER SET, one can't use translated
characters in database, table and column names.
DELETE FROM merge_table used without a WHERE
will only clear the mapping for the table, not delete everything in the
mapped tables
You cannot build in another directory when using
MIT-pthreads. Because this requires changes to MIT-pthreads, we are not
likely to fix this.
BLOB values can't ``reliably'' be used in GROUP BY or
ORDER BY or DISTINCT. Only the first max_sort_length
bytes (default 1024) are used when comparing BLOBbs in these cases.
This can be changed with the -O max_sort_length option to
mysqld. A workaround for most cases is to use a substring:
SELECT DISTINCT LEFT(blob,2048) FROM tbl_name.
Calculation is done with BIGINT or DOUBLE (both are
normally 64 bits long). It depends on the function which precision one
gets. The general rule is that bit functions are done with BIGINT
precision, IF, and ELT() with BIGINT or DOUBLE
precision and the rest with DOUBLE precision. One should try to
avoid using bigger unsigned long long values than 63 bits
(9223372036854775807) for anything else than bit fields!
All string columns, except BLOB and TEXT columns, automatically
have all trailing spaces removed when retrieved. For CHAR types this
is okay, and may be regarded as a feature according to ANSI SQL92. The bug is
that in MySQL, VARCHAR columns are treated the same way.
You can only have up to 255 ENUM and SET columns in one table.
safe_mysqld re-directs all messages from mysqld to the
mysqld log. One problem with this is that if you execute
mysqladmin refresh to close and reopen the log,
stdout and stderr are still redirected to the old log.
If you use --log extensively, you should edit safe_mysqld to
log to `'hostname'.err' instead of `'hostname'.log' so you can
easily reclaim the space for the old log by deleting the old one and
executing mysqladmin refresh.
In the UPDATE statement, columns are updated from left to right. If
you refer to an updated column, you will get the updated value instead of the
original value. For example:
mysql> UPDATE tbl_name SET KEY=KEY+1,KEY=KEY+1;
This will update KEY with 2 instead of with 1.
You can't use temporary tables more than once in the same query.
For example, the following doesn't work.
select * from temporary_table, temporary_table as t2;
RENAME doesn't work with TEMPORARY tables.
The optimizer may handle DISTINCT differently if you are using
'hidden' columns in a join or not. In a join, hidden columns are
counted as part of the result (even if they are not shown) while in
normal queries hidden columns doesn't participate in the DISTINCT
comparison. We will probably change this in the future to never compare
the hidden columns when executing DISTINCT
An example of this is:
SELECT DISTINCT mp3id FROM band_downloads WHERE userid = 9 ORDER BY id
DESC;
and
SELECT DISTINCT band_downloads.mp3id, FROM band_downloads,band_mp3
WHERE band_downloads.userid = 9 AND band_mp3.id = band_downloads.mp3id
ORDER BY band_downloads.id DESC;
In the second case you may in MySQL 3.23.x get two identical rows
in the result set (because the hidden 'id' column may differ).
Note that the this only happens for queries where you don't have the
ORDER BY columns in the result, something that is you are not allowed
to do in ANSI SQL.
Because MySQL allows you to work with table types that doesn't
support transactions (and thus can't rollback data) some things
behaves a little different in MySQL than in other SQL servers:
(This is just to ensure that MySQL never need to do a rollback
for a SQL command). This may be a little awkward at times as column
Because MySQL allows you to work with table types that don't
support transactions, and thus can't rollback data, some things
behave a little differently in MySQL than in other SQL servers.
This is just to ensure that MySQL never need to do a rollback
for a SQL command. This may be a little awkward at times as column
values must be checked in the application, but this will actually give
you a nice speed increase as it allows MySQL to do some
optimizations that otherwise would be very hard to do.
If you set a column to an incorrect value, MySQL will, instead of
doing a rollback, store the best possible value in the column:
If you try to store a value outside the range in a numerical column,
MySQL will instead store the smallest or biggest possible value in
the column.
If you try to store a string that doesn't start with a number into a
numerical column, MySQL will store 0 into it.
If you try to store NULL into a column that doesn't take
NULL values, MySQL will store 0 or '' (empty
string) in it instead. (This behavior can, however, be changed with the
-DDONT_USE_DEFAULT_FIELDS compile option).
MySQL allows you to store some wrong date values into
DATE and DATETIME columns. (Like 2000-02-31 or 2000-02-00).
If the date is totally wrong, MySQL will store the special
0000-00-00 date value in the column.
If you set an enum to an unsupported value, it will be set to
the error value 'empty string', with numeric value 0.
If you execute a PROCEDURE on a query that returns an empty set,
in some cases the PROCEDURE will not transform the columns.
Creation of a table of type MERGE doesn't check if the underlying
tables are of compatible types.
MySQL can't yet handle NaN, -Inf and Inf
values in double. Using these will cause problems when trying to export
and import data. We should as an intermediate solution change NaN to
NULL (if possible) and -Inf and Inf to the
Minimum respective maximum possible double value.
LIMIT on negative numbers are treated as big positive numbers.
If you use ALTER TABLE to first add an UNIQUE index to a
table used in a MERGE table and then use ALTER TABLE to
add a normal index on the MERGE table, the key order will be
different for the tables if there was an old not-unique key in the
table. This is because ALTER TABLE puts UNIQUE keys before
normal keys to be able to detect duplicate keys as early as possible.
The following are known bugs in earlier versions of MySQL:
You can get a hung thread if you do a DROP TABLE on a table that is
one among many tables that is locked with LOCK TABLES.
In the following case you can get a core dump:
Delayed insert handler has pending inserts to a table.
LOCK table with WRITE
FLUSH TABLES
Before MySQL Version 3.23.2 an UPDATE that updated a key with
a WHERE on the same key may have failed because the key was used to
search for records and the same row may have been found multiple times:
UPDATE tbl_name SET KEY=KEY+1 WHERE KEY > 100;
A workaround is to use:
mysql> UPDATE tbl_name SET KEY=KEY+1 WHERE KEY+0 > 100;
This will work because MySQL will not use index on expressions in
the WHERE clause.
Before MySQL Version 3.23, all numeric types where treated as fixed-point
fields. That means you had to specify how many decimals a floating-point
field shall have. All results were returned with the correct number of
decimals.
For platform-specific bugs, see the sections about compiling and porting.
This section compares MySQL to other popular databases.
This section has been written by the MySQL developers, so it
should be read with that in mind. There are no factual errors contained
in this section that we know of. If you find something which you believe
to be an error, please contact us about it at docs@mysql.com.
For a true comparison of speed, consult the growing MySQL benchmark
suite. See section 5.1.4 The MySQL Benchmark Suite.
Because there is no thread creation overhead, a small parser, few features, and
simple security, mSQL should be quicker at:
Tests that perform repeated connects and disconnects, running a very simple
query during each connection.
INSERT operations into very simple tables with few columns and keys.
CREATE TABLE and DROP TABLE.
SELECT on something that isn't an index. (A table scan is very
easy.)
Because these operations are so simple, it is hard to be better at them when
you have a higher startup overhead. After the connection is established,
MySQL should perform much better.
On the other hand, MySQL is much faster than mSQL (and
most other SQL implementations) on the following:
Complex SELECT operations.
Retrieving large results (MySQL has a better, faster, and safer
protocol).
Tables with variable-length strings, because MySQL has more efficient
handling and can have indexes on VARCHAR columns.
Handling tables with many columns.
Handling tables with large record lengths.
SELECT with many expressions.
SELECT on large tables.
Handling many connections at the same time. MySQL is fully
multi-threaded. Each connection has its own thread, which means that
no thread has to wait for another (unless a thread is modifying
a table another thread wants to access). In mSQL, once one connection
is established, all others must wait until the first has finished, regardless
of whether the connection is running a query that is short or long. When the
first connection terminates, the next can be served, while all the others wait
again, etc.
Joins.
mSQL can become pathologically slow if you change the order of tables
in a SELECT. In the benchmark suite, a time more than 15000 times
slower than MySQL was seen. This is due to mSQL's lack of a
join optimizer to order tables in the optimal order. However, if you put the
tables in exactly the right order in mSQL2 and the WHERE is
simple and uses index columns, the join will be relatively fast!
See section 5.1.4 The MySQL Benchmark Suite.
ORDER BY and GROUP BY.
DISTINCT.
Using TEXT or BLOB columns.
SQL Features
GROUP BY and HAVING.
mSQL does not support GROUP BY at all.
MySQL supports a full GROUP BY with both HAVING and
the following functions: COUNT(), AVG(), MIN(),
MAX(), SUM(), and STD(). COUNT(*) is optimized to
return very quickly if the SELECT retrieves from one table, no other
columns are retrieved, and there is no WHERE clause. MIN() and
MAX() may take string arguments.
INSERT and UPDATE with calculations.
MySQL can do calculations in an INSERT or UPDATE.
For example:
mysql> UPDATE SET x=x*10+y WHERE x<20;
Aliasing.
MySQL has column aliasing.
Qualifying column names.
In MySQL, if a column name is unique among the tables used in a
query, you do not have to use the full qualifier.
That is, how small can you make your tables?
MySQL has very precise types, so you can create tables that take
very little space. An example of a useful MySQL datatype is the
MEDIUMINT that is 3 bytes long. If you have 100,000,000 records,
saving even one byte per record is very important.
mSQL2 has a more limited set of column types, so it is
more difficult to get small tables.
Stability
This is harder to judge objectively. For a discussion of MySQL
stability, see section 1.1.7 How Stable Is MySQL?.
We have no experience with mSQL stability, so we cannot say
anything about that.
Price
Another important issue is the license. MySQL has a
more flexible license than mSQL, and is also less expensive than
mSQL. Whichever product you choose to use, remember to at least
consider paying for a license or e-mail support. (You are required to get
a license if you include MySQL with a product that you sell,
of course.)
Perl Interfaces
MySQL has basically the same interfaces to Perl as mSQL with
some added features.
JDBC (Java)
MySQL currently has a lot of different JDBC drivers:
The mm driver: A type 4 JDBC driver by Mark Matthews
mmatthew@ecn.purdue.edu. This is released under the LGPL.
The gwe driver: A Java interface by GWE technologies (not supported anymore).
The jms driver: An improved gwe driver by Xiaokun Kelvin ZHU
X.Zhu@brad.ac.uk (not supported anymore).
The twz driver: A type 4 JDBC driver by Terrence W. Zellers
zellert@voicenet.com. This is commercial but is free for private
and educational use (not supported anymore).
The recommended driver is the mm driver. The Resin driver may also be
good (at least the benchmarks looks good), but we haven't received that much
information about this yet.
We know that mSQL has a JDBC driver, but we have too little experience
with it to compare.
Rate of Development
MySQL has a very small team of developers, but we are quite
used to coding C and C++ very rapidly. Because threads, functions,
GROUP BY, and so on are still not implemented in mSQL, it
has a lot of catching up to do. To get some perspective on this, you
can view the mSQL`HISTORY' file for the last year and
compare it with the News section of the MySQL Reference Manual
(see section F MySQL change history). It should be pretty obvious which one has developed
most rapidly.
Utility Programs
Both mSQL and MySQL have many interesting third-party
tools. Because it is very easy to port upward (from mSQL to
MySQL), almost all the interesting applications that are available for
mSQL are also available for MySQL.
MySQL comes with a simple msql2mysql program that fixes
differences in spelling between mSQL and MySQL for the
most-used C API functions.
For example, it changes instances of msqlConnect() to
mysql_connect(). Converting a client program from mSQL to
MySQL usually takes a couple of minutes.
According to our experience, it would just take a few hours to convert tools
such as msql-tcl and msqljava that use the
mSQL C API so that they work with the MySQL C API.
The conversion procedure is:
Run the shell script msql2mysql on the source. This requires the
replace program, which is distributed with MySQL.
Compile.
Fix all compiler errors.
Differences between the mSQL C API and the MySQL C API are:
MySQL uses a MYSQL structure as a connection type (mSQL
uses an int).
mysql_connect() takes a pointer to a MYSQL structure as a
parameter. It is easy to define one globally or to use malloc() to get
one. mysql_connect() also takes two parameters for specifying the
user and password. You may set these to NULL, NULL for default use.
mysql_error() takes the MYSQL structure as a parameter. Just add
the parameter to your old msql_error() code if you are porting old code.
MySQL returns an error number and a text error message for all
errors. mSQL returns only a text error message.
Some incompatibilities exist as a result of MySQL supporting
multiple connections to the server from the same process.
There are enough differences that it is impossible (or at least not easy)
to support both.
The most significant ways in which the MySQL protocol differs
from the mSQL protocol are listed below:
A message buffer may contain many result rows.
The message buffers are dynamically enlarged if the query or the
result is bigger than the current buffer, up to a configurable server and
client limit.
All packets are numbered to catch duplicated or missing packets.
All column values are sent in ASCII. The lengths of columns and rows are sent
in packed binary coding (1, 2, or 3 bytes).
MySQL can read in the result unbuffered (without having to store the
full set in the client).
If a single read/write takes more than 30 seconds, the server closes
the connection.
If a connection is idle for 8 hours, the server closes the connection.
Create a SEQUENCE on a table and select the _seq column.
To Obtain a Unique Identifier for a Row
MySQL
Add a PRIMARY KEY or UNIQUE key to the table and use this.
New in Version 3.23.11: If the PRIMARY or UNIQUE key consists of only one
column and this is of type integer, one can also refer to it as
_rowid.
mSQL
Use the _rowid column. Observe that _rowid may change over time
depending on many factors.
To Get the Time a Column Was Last Modified
MySQL
Add a TIMESTAMP column to the table. This column is automatically set
to the current date and time for INSERT or UPDATE statements if
you don't give the column a value or if you give it a NULL value.
mSQL
Use the _timestamp column.
NULL Value Comparisons
MySQL
MySQL follows
ANSI SQL, and a comparison with NULL is always NULL.
mSQL
In mSQL, NULL = NULL is TRUE. You
must change =NULL to IS NULL and <>NULL to
IS NOT NULL when porting old code from mSQL to MySQL.
String Comparisons
MySQL
Normally, string comparisons are performed in case-independent fashion with
the sort order determined by the current character set (ISO-8859-1 Latin1 by
default). If you don't like this, declare your columns with the
BINARY attribute, which causes comparisons to be done according to the
ASCII order used on the MySQL server host.
mSQL
All string comparisons are performed in case-sensitive fashion with
sorting in ASCII order.
Case-insensitive Searching
MySQL
LIKE is a case-insensitive or case-sensitive operator, depending on
the columns involved. If possible, MySQL uses indexes if the
LIKE argument doesn't start with a wild-card character.
mSQL
Use CLIKE.
Handling of Trailing Spaces
MySQL
Strips all spaces at the end of CHAR and VARCHAR
columns. Use a TEXT column if this behavior is not desired.
mSQL
Retains trailing space.
WHERE Clauses
MySQL
MySQL correctly prioritizes everything (AND is evaluated
before OR). To get mSQL behavior in MySQL, use
parentheses (as shown in an example below).
mSQL
Evaluates everything from left to right. This means that some logical
calculations with more than three arguments cannot be expressed in any
way. It also means you must change some queries when you upgrade to
MySQL. You do this easily by adding parentheses. Suppose you
have the following mSQL query:
mysql> SELECT * FROM table WHERE a=1 AND b=2 OR a=3 AND b=4;
To make MySQL evaluate this the way that mSQL would,
you must add parentheses:
mysql> SELECT * FROM table WHERE (a=1 AND (b=2 OR (a=3 AND (b=4))));
When reading the following, please note that both products are continually
evolving. We at MySQL AB and the PostgreSQL developers are both working
on making our respective database as good as possible, so we are both a
serious choice to any commercial database.
The following comparison is made by us at MySQL AB. We have tried to be
as accurate and fair as possible, but because we don't have a full
knowledge of all PostgreSQL features while we know MySQL througly, we
may have got some things wrong. We will however correct these when they
come to our attention.
We would first like to note that PostgreSQL and MySQL are both widely used
products, but with different design goals, even if we are both striving to
be ANSI SQL compatible. This means that for some applications MySQL is
more suited, while for others PostgreSQL is more suited. When choosing
which database to use, you should first check if the database's feature set
satisfies your application. If you need raw speed, MySQL is probably your
best choice. If you need some of the extra features that only PostgreSQL
can offer, you should use PostgreSQL.
When adding things to MySQL we take pride to do an optimal, definite
solution. The code should be so good that we shouldn't have any need to
change it in the foreseeable future. We also do not like to sacrifice
speed for features but instead will do our utmost to find a solution
that will give maximal throughput. This means that development will take
a little longer, but the end result will be well worth this. This kind
of development is only possible because all server code are checked by
one of a few (currently two) persons before it's included in the
MySQL server.
We at MySQL AB believe in frequent releases to be able to push out new
features quickly to our users. Because of this we do a new small release
about every three weeks, and a major branch every year. All releases are
throughly tested with our testing tools on a lot of different platforms.
PostgreSQL is based on a kernel with lots of contributors. In this setup
it makes sense to prioritize adding a lot of new features, instead of
implementing them optimally, because one can always optimize things
later if there arises a need for this.
Another big difference between MySQL and PostgreSQL is that
nearly all of the code in the MySQL server are coded by developers that
are employed by MySQL AB and are still working on the server code. The
exceptions are the transaction engines, and the regexp library.
This is in sharp contrast to the PostgreSQL code where the majority of
the code is coded by a big group of people with different backgrounds.
It was only recently that the PostgreSQL developers announced that their
current developer group had finally had time to take a look at all
the code in the current PostgreSQL release.
Both of the above development methods has it's own merits and drawbacks.
We here at MySQL AB think of course that our model is better because our
model gives better code consistency, more optimal and reusable code, and
in our opinion, fewer bugs. Because we are the authors of the MySQL server
code, we are better able to coordinate new features and releases.
On the crash-me
page you can find a list of those database constructs and limits that
one can detect automatically with a program. Note however that a lot of
the numerical limits may be changed with startup options for respective
database. The above web page is however extremely useful when you want to
ensure that your applications works with many different databases or
when you want to convert your application from one datbase to another.
MySQL offers the following advantages over PostgreSQL:
MySQL has a much larger user base than PostgreSQL, therefor the
code is more tested and has historically been more stable than
PostgreSQL. MySQL is the much more used in production
environments than PostgreSQL, mostly thanks to that MySQL AB,
formerly TCX DataKonsult AB, has provided top quality commercial support
for MySQL from the day it was released, whereas until recently
PostgreSQL was unsupported.
MySQL works better on Windows than PostgreSQL does. MySQL runs as a
native Windows application (a service on NT/Win2000/WinXP), while
PostgreSQL is run under the cygwin emulation. We have heard that
PostgreSQL is not yet that stable on Windows but we haven't been able to
verify this ourselves.
MySQL has more APIs to other languages and is supported by more
existing programs than PostgreSQL. See section D Contributed Programs.
MySQL works on 24/7 heavy duty systems. In most circumstances
you never have to run any cleanups on MySQL. PostgreSQL doesn't
yet support 24/7 systems because you have to run VACUUM()
once in a while to reclaim space from UPDATE and DELETE
commands and to perform statistics analyzes that are critical to get
good performance with PostgreSQL. VACUUM() is also needed after
adding a lot of new rows to a table. On a busy system with lots of changes,
VACUUM() must be run very frequently, in the worst cases even
many times a day. During the VACUUM() run, which may take hours
if the database is big, the database is from a production standpoint,
practically dead. The PostgreSQL team has fixing this on their TODO,
but we assume that this is not an easy thing to fix permanently.
A working, tested replication feature used by sites like:
Included in the MySQL distribution are two different testing suites,
`mysql-test-run' and
crash-me, as well
as a benchmark suite. The test system is actively updated with code to
test each new feature and almost all repeatable bugs that have come to
our attention. We test MySQL with these on a lot of platforms before
every release. These tests are more sophisticated than anything we have
seen from PostgreSQL, and they ensures that the MySQL is kept to a high
standard.
There are far more books in print about MySQL than about PostgreSQL.
O'Reilly, Sams, Que, and New Riders are all major publishers with books
about MySQL. All MySQL features are also documented in the MySQL on-line
manual, because when a new feature is implemented, the MySQL developers
are required to document it before it's included in the source.
MySQL supports more of the standard ODBC functions than PostgreSQL.
MySQL has a much more sophisticated ALTER TABLE.
MySQL has support for tables without transactions for applications that
need all speed they can get. The tables may be memory based, HEAP
tables or disk based MyISAM. See section 7 MySQL Table Types.
MySQL has support for two different table handlers that support
transactions, BerkeleyDB and InnoDB. Because every
transaction engine performs differently under different conditions, this
gives the application writer more options to find an optimal solution for
his or her setup. See section 7 MySQL Table Types.
MERGE tables gives you a unique way to instantly make a view over
a set of identical tables and use these as one. This is perfect for
systems where you have log files that you order for example by month.
See section 7.2 MERGE Tables.
The option to compress read-only tables, but still have direct access to
the rows in the table, gives you better performance by minimizing disk
reads. This is very useful when you are archiving things.
See section 4.7.4 myisampack, The MySQL Compressed Read-only Table Generator.
You can access many databases from the same connection (depending of course
on your privileges).
MySQL is coded from the start to be multi-threaded while PostgreSQL uses
processes. Context switching and access to common storage areas is much
faster between threads than between separate processes, this gives MySQL
a big speed advantage in multi-user applications and also makes it easier
for MySQL to take full advantage of symmetric multiprocessor (SMP) systems.
MySQL has a much more sophisticated privilege system than PostgreSQL.
While PostgreSQL only supports INSERT, SELECT, and
UPDATE/DELETE grants per user on a database or a table, MySQL allows
you to define a full set of different privileges on database, table and
column level. MySQL also allows you to specify the privilege on host and
user combinations. See section 4.3.1 GRANT and REVOKE Syntax.
MySQL supports a compressed client/server protocol which improves
performance over slow links.
MySQL employs a ``table handler'' concept, and is the only relational
database we know of built around this concept. This allows different
low-level table types to be swapped into the SQL engine, and each table
type can be optimized for different performance characteristics.
All MySQL table types (except InnoDB) are implemented as files
(one table per file), which makes it really easy to backup, move, delete
and even symlink databases and tables, even when the server is down.
Tools to repair and optimize MyISAM tables (the most common
MySQL table type). A repair tool is only needed when a physical corruption
of a data file happens, usually from a hardware failure. It allows a
majority of the data to be recovered.
Upgrading MySQL is painless. When you are upgrading MySQL, you don't need
to dump/restore your data, as you have to do with most PostgreSQL upgrades.
Drawbacks with MySQL compared to PostgreSQL:
The transaction support in MySQL is not yet as well tested as PostgreSQL's
system.
Table locking, as used by the non-transactional MyISAM tables, is
in many cases faster than page locks, row locks or versioning. The
drawback however is that if one doesn't take into account how table
locks work, a single long-running query can block a table for updates
for a long time. This can usable be avoided when designing the
application. If not, one can always switch the trouble table to use one
of the transactional table types. See section 5.3.2 Table Locking Issues.
With UDF (user defined functions) one can extend MySQL with both normal
SQL functions and aggregates, but this is not yet as easy or as flexible
as in PostgreSQL. See section 9.1 Adding New Functions to MySQL.
Updates and deletes that run over multiple tables is harder to do in
MySQL. This will, hoever, be fixed in MySQL 4.0 with multi-table
DELETE and multi-table UPDATE and in MySQL 4.1
with subselects.
PostgreSQL currently offers the following advantages over MySQL:
Note that because we know the MySQL road map, we have included in the
following table the version when MySQL should support this feature.
Unfortunately we couldn't do this for previous comparison, because we
don't know the PostgreSQL roadmap.
Feature
MySQL version
Subselects
4.1
Foreign keys
4.0 and 4.1
Views
4.2
Stored procedures
4.1
Extensible type system
Not planned
Unions
4.0
Full join
4.0 or 4.1
Triggers
4.1
Constrainst
4.1
Cursors
4.1 or 4.2
Extensible index types like R-trees
R-trees are planned for 4.2
Inherited tables
Not planned
Other reasons to use PostgreSQL:
Standard usage in PostgreSQL is closer to ANSI SQL in some cases.
One can speed up PostgreSQL by coding things as stored procedures.
PostgreSQL has a bigger team of developers that contribute to the server.
Drawbacks with PostgreSQL compared to MySQL:
VACUUM() makes PostgreSQL hard to use in a 24/7 environment.
Only transactional tables.
Much slower INSERT, DELETE, and UPDATE.
For a complete list of drawbacks, you should also examine the first table
in this section.
The only open source benchmark that we know of that can be used to
benchmark MySQL and PostgreSQL (and other databases) is our own. It can
be found at http://www.mysql.com/information/benchmarks.html.
We have many times asked the PostgreSQL developers and some PostgreSQL
users to help us extend this benchmark to make it the definitive benchmark
for databases, but unfortunately we haven't gotten any feedback for this.
We the MySQL developers have, because of this, spent a lot of hours to get
maximum performance from PostgreSQL for the benchmarks, but because we
don't know PostgreSQL intimately, we are sure that there are things that
we have missed. We have on the benchmark page documented exactly how we
did run the benchmark so that it should be easy for anyone to repeat and
verify our results.
The benchmarks are usually run with and without the --fast option.
When run with --fast we are trying to use every trick the server can
do to get the code to execute as fast as possible. The idea is that the
normal run should show how the server would work in a default setup and
the --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 --fast we do a VACUUM()
after every major table UPDATE and DROP TABLE to make the
database in perfect shape for the following SELECTs. The time for
VACUUM() is measured separately.
When running with PostgreSQL 7.1.1 we could, however, not run with
--fast because during the INSERT test, the postmaster (the
PostgreSQL deamon) died and the database was so corrupted that it was
impossible to restart postmaster. After this happened twice, we decided
to postpone the --fast test until next PostgreSQL release. The
details about the machine we run the benchmark can be found on the
benchmark page.
Before going to the other benchmarks we know of, we would like to give
some background on benchmarks:
It's very easy to write a test that shows ANY database to be best
database in the world, by just restricting the test to something the
database is very good at and not test anything that the database is not
good at. If one after this publishes the result with a single figure,
things are even easier.
This would be like us measuring the speed of MySQL compared to PostgreSQL
by looking at the summary time of the MySQL benchmarks on our web page.
Based on this MySQL would be more than 40 times faster than PostgreSQL,
something that is of course not true. We could make things even worse
by just taking the test where PostgreSQL performs worst and claim that
MySQL is more than 2000 times faster than PostgreSQL.
The case is that MySQL does a lot of optimizations that PostgreSQL
doesn't do. This is of course also true the other way around. An SQL
optimizer is a very complex thing, and a company could spend years on
just making the optimizer faster and faster.
When looking at the benchmark results you should look for things that
you do in your application and just use these results to decide which
database would be best suited for your application. The benchmark
results also shows things a particular database is not good at and should
give you a notion about things to avoid and what you may have to do in
other ways.
We know of two benchmark tests that claims that PostgreSQL performs better
than MySQL. These both where multi-user tests, a test that we here at
MySQL AB haven't had time to write and include in the benchmark suite,
mainly because it's a big task to do this in a manner that is fair against
all databases.
This is the probably worst benchmark we have ever seen anyone conduct. This
was not only tuned to only test what PostgreSQL is absolutely best at, it
was also totally unfair against every other database involved in the test.
NOTE: We know that not even some of the main PostgreSQL
developers did like the way Great Bridge conducted the benchmark, so we
don't blame them for the way the benchmark was made.
This benchmark has been condemned in a lot of postings and newsgroups so
we will here just shortly repeat some things that where wrong with it.
The tests were run with an expensive commercial tool, that makes it
impossible for an open source company like us to verify the benchmarks,
or even check how the benchmarks were really done. The tool is not even
a true benchmark tool, but an application/setup testing tool. To refer
this as a ``standard'' benchmark tool is to stretch the truth a long way.
Great Bridge admitted that they had optimized the PostgreSQL database
(with 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 optimizes indexes and frees up disk space a bit. The
optimized 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 VACUUM() can easily differ by a factor
of ten.
The test results were also strange. The AS3AP test documentation
mentions that the test does ``selections, simple joins, projections,
aggregates, one-tuple updates, and bulk updates''.
PostgreSQL is good at doing SELECTs and JOINs (especially
after a VACUUM()), but doesn't perform as well on INSERTs or
UPDATEs. The benchmarks seem to indicate that only SELECTs
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
bit down in this document.
They did run the so-called benchmark from a Windows machine against a
Linux machine over ODBC, a setup that no normal database user would ever
do when running a heavy multi-user application. This tested more the
ODBC driver and the Windows protocol used between the clients than the
database itself.
When running the database against Oracle and MS-SQL (Great Bridge has
indirectly indicated that the databases they used in the test), they
didn't use the native protocol but instead ODBC. Anyone that has ever
used Oracle knows that all real application uses the native interface
instead of ODBC. Doing a test through ODBC and claiming that the results
had anything to do with using the database in a real-world situation can't
be regarded as fair. They should have done two tests with and without ODBC
to provide the right facts (after having got experts to tune all involved
databases of course).
They refer to the TPC-C tests, but they don't mention anywhere that the
test they did was not a true TPC-C test and they were not even allowed to
call it a TPC-C test. A TPC-C test can only be conducted by the rules
approved by the TPC Council (http://www.tpc.org). Great Bridge
didn't do that. By doing this they have both violated the TPC trademark
and miscredited their own benchmarks. The rules set by the TPC Council
are very strict to ensure that no one can produce false results or make
unprovable statements. Apparently Great Bridge wasn't interested in
doing this.
After the first test, we contacted Great Bridge and mentioned to them
some of the obvious mistakes they had done with MySQL:
Running with a debug version of our ODBC driver
Running on a Linux system that wasn't optimized for threads
Using an old MySQL version when there was a recommended newer one available
Not starting MySQL with the right options for heavy multi-user use (the
default installation of MySQL is tuned for minimal resource use).
Great Bridge did run a new test, with our optimized ODBC driver and with
better startup options for MySQL, but refused to either use our updated
glibc library or our standard binary (used by 80% of our users), which was
statically linked with a fixed glibc library.
According to what we know, Great Bridge did nothing to ensure that the
other databases were set up correctly to run well in their test
environment. We are sure however that they didn't contact Oracle or
Microsoft to ask for their advice in this matter ;)
The benchmark was paid for by Great Bridge, and they decided to publish
only partial, chosen results (instead of publishing it all).
Tim Perdue, a long time PostgreSQL fan and a reluctant MySQL user
published a comparison on
phpbuider.
When we became aware of the comparison, we phoned Tim Perdue about this
because there were a lot of strange things in his results. For example,
he claimed that MySQL had a problem with five users in his tests, when we
know that there are users with similar machines as his that are using
MySQL with 2000 simultaneous connections doing 400 queries per second.
(In this case the limit was the web bandwidth, not the database.)
It sounded like he was using a Linux kernel that either had some
problems with many threads, such as kernels before 2.4, which had a problem
with many threads on multi-CPU machines. We have documented in this manual
how to fix this and Tim should be aware of this problem.
The other possible problem could have been an old glibc library and
that Tim didn't use a MySQL binary from our site, which is linked with
a corrected glibc library, but had compiled a version of his own with.
In any of the above cases, the symptom would have been exactly what Tim
had measured.
We asked Tim if we could get access to his data so that we could repeat
the benchmark and if he could check the MySQL version on the machine to
find out what was wrong and he promised to come back to us about this.
He has not done that yet.
Because of this we can't put any trust in this benchmark either :(
Over time things also changes and the above benchmarks are not that
relevant anymore. MySQL now have a couple of different table handlers
with different speed/concurrency tradeoffs. See section 7 MySQL Table Types. It
would be interesting to see how the above tests would run with the
different transactional table types in MySQL. PostgreSQL has of course
also got new features since the test was made. As the above test are
not publicly available there is no way for us to know how the
database would preform in the same tests today.
Conclusion:
The only benchmarks that exist today that anyone can download and run
against MySQL and PostgreSQL is the MySQL benchmarks. We here at MySQL
believe that open source databases should be tested with open source tools!
This is the only way to ensure that no one does tests that nobody can
reproduce and use this to claim that a database is better than another.
Without knowing all the facts it's impossible to answer the claims of the
tester.
The thing we find strange is that every test we have seen about
PostgreSQL, that is impossible to reproduce, claims that PostgreSQL is
better in most cases while our tests, which anyone can reproduce,
clearly shows otherwise. With this we don't want to say that PostgreSQL
isn't good at many things (it is!) or that it isn't faster than MySQL
under certain conditions. We would just like to see a fair test where
they are very good so that we could get some friendly competition going!
We are working on an even better benchmark suite, including multi user
tests, and a better documentation of what the individual tests really
do and how to add more tests to the suite.
TODO unplanned: Some things we don't have any plans to do
This appendix lists the features that we plan to implement in MySQL.
Everything in this list is approximately in the order it will be done. If you
want to affect the priority order, please register a license or support us and
tell us what you want to have done more quickly. See section 1.3 MySQL Licensing and Support.
The plan is that we in the future will support the full ANSI SQL99
standard, but with a lot of useful extensions. The challenge is to do
this without sacrifying the speed or compromise the code.
We plan to make MySQL Version 4.0 a ``quick'' release where we only
add some new stuff to enable others to help us with developing new features
into Version 4.1. The MySQL 4.0 version should only take us about
a month to make after which we want to stabilize it and start working on
Version 4.1. Version 4.0 should have the following new features:
New table definition file format (.frm files) This will enable us
to not run out of bits when adding more table options. One will still
be able to use the old .frm file format with 4.0. All newly created
tables will, however, use the new format.
The new file format will enable us to add new column types, more options
for keys and FOREIGN KEY support.
mysqld as a library. This will have the same interface as the
standard MySQL client (with an extra function to just set up
startup parameters) but will be faster (no TCP/IP or socket overhead),
smaller and much easier to use for embedded products.
One will be able to define at link time if one wants to use the
client/server model or a stand-alone application just by defining which
library to link with.
The mysqld will support all standard MySQL features and
one can use it in a threaded client to run different queries in each
thread.
Replication should work with RAND() and user variables @var.
Online backup with very low performance penalty. The online backup will
make it easy to add a new replication slave without taking down the
master.
DELETE FROM table_name will return the number of deleted rows. For
fast execution one should use TRUNCATE table_name.
Allow DELETE on MyISAM tables to use the record cache.
To do this, we need to update the threads record cache when we update
the .MYD file.
Character set casts and syntax for handling multiple character sets.
Allow users to change startup options without taking down the server.
Help for all commands from the client.
Secure connections (with SSL).
Extend the optimizer to be able to optimize some ORDER BY key_name DESC
queries.
SHOW COLUMNS FROM table_name (used by mysql client to allow
expansions of column names) should not open the table, but only the
definition file. This will require less memory and be much faster.
New key cache
When using SET CHARACTER SET we should translate the whole query
at once and not only strings. This will enable users to use the translated
characters in database, table and column names.
Add a portable interface over gethostbyaddr_r() so that we can change
ip_to_hostname() to not block other threads while doing DNS lookups.
Add record_in_range() method to MERGE tables to be
able to choose the right index when there is many to choose from. We should
also extend the info interface to get the key distribution for each index,
of analyze is run on all sub tables.
SET SQL_DEFAULT_TABLE_TYPE=[MyISAM | INNODB | BDB | HEAP].
Subqueries.
select id from t where grp in (select grp from g where u > 100)
Derived tables.
select a.col1, b.col2 from (select max(col1) as col1 from root_table ) a,
other_table b where a.col1=b.col1
This could be done by automatically creating temporary tables for the
derived tables for the duration of the query.
Add PREPARE of statements and sending of parameters to mysqld.
Extend the server/client protocol to support warnings.
Add options to the server/protocol protocol to get progress notes
for long running commands.
Add database and real table name (in case of alias) to the MYSQL_FIELD
structure.
Don't allow more than a defined number of threads to run MyISAM recover
at the same time.
Change INSERT ... SELECT to optionally use concurrent inserts.
Implement RENAME DATABASE. To make this safe for all table handlers,
it should work as follows:
Create the new database.
For every table do a rename of the table to another database, as
we do with the RENAME command.
Drop the old database.
Return the original field types() when doing SELECT MIN(column)
... GROUP BY.
Multiple result sets.
Change the protocol to allow binary transfer of values. To do this
efficiently, we need to add an API to allow binding of variables.
Make it possible to specify long_query_time with a granularity
in microseconds.
Add a configurable prompt to the mysql command line client, with
options like database in use, time and date...
Add range checking to MERGE tables.
Link the myisampack code into the server.
Port of MySQL to BeOS.
Port of the MySQL clients to LynxOS.
Add a temporary key buffer cache during INSERT/DELETE/UPDATE so that we
can gracefully recover if the index file gets full.
If you perform an ALTER TABLE on a table that is symlinked to another
disk, create temporary tables on this disk.
Implement a DATE/DATETIME type that handles time zone information
properly, so that dealing with dates in different time zones is easier.
FreeBSD and MIT-pthreads; Do sleeping threads take CPU?
Check if locked threads take any CPU.
Fix configure so that one can compile all libraries (like MyISAM)
without threads.
Add an option to periodically flush key pages for tables with delayed keys
if they haven't been used in a while.
Allow join on key parts (optimization issue).
INSERT SQL_CONCURRENT and mysqld --concurrent-insert to do
a concurrent insert at the end of the file if the file is read-locked.
Remember FOREIGN key definitions in the `.frm' file.
Cascading DELETE
Server side cursors.
Check if lockd works with modern Linux kernels; If not, we have
to fix lockd! To test this, start mysqld with
--enable-locking and run the different fork* test suits. They shouldn't
give any errors if lockd works.
Allow SQL variables in LIMIT, like in LIMIT @a,@b.
Allow update of variables in UPDATE statements. For example:
UPDATE TABLE foo SET @a=a+b,a=@a, b=@a+c
Change when user variables are updated so that one can use them with
GROUP BY, as in the following example:
SELECT id, @a:=count(*), sum(sum_col)/@a FROM table_name GROUP BY id.
Don't add automatic DEFAULT values to columns. Give an error when using
an INSERT that doesn't contain a column that doesn't have a
DEFAULT.
Caching of queries and results. This should be done as a separated
module that examines each query and if this is query is in the cache
the cached result should be returned. When one updates a table one
should remove as few queries as possible from the cache.
This should give a big speed bost on machines with much RAM where
queries are often repeated (like WWW applications).
One idea would be to only cache queries of type:
SELECT CACHED ...
Fix `libmysql.c' to allow two mysql_query() commands in a row
without reading results or give a nice error message when one does this.
Optimize BIT type to take 1 bit (now BIT takes 1 char).
Check why MIT-pthreads ctime() doesn't work on some FreeBSD systems.
Add an IMAGE option to LOAD DATA INFILE to not update
TIMESTAMP and AUTO_INCREMENT fields.
Added LOAD DATE INFILE.. UPDATE syntax.
For tables with primary keys, if the data contains the primary key,
entries matching that primary key are updated from the remainder of the
columns. However, columns MISSING from the incoming data feed are not
touched.
For tables tables with primary keys that are missing some part of the key
in the incoming data stream, or that have no primary key, the feed is
treated as a LOAD DATA INFILE ... REPLACE INTO is now.
Make LOAD DATA INFILE understand syntax like:
LOAD DATA INFILE 'file_name.txt' INTO TABLE tbl_name
TEXT_FIELDS (text_field1, text_field2, text_field3)
SET table_field1=concatenate(text_field1, text_field2), table_field3=23
IGNORE text_field3
This can be used to skip over extra columns in the text file, or update columns
based on expressions of the read data...
LOAD DATA INFILE 'file_name' INTO TABLE 'table_name' ERRORS TO err_table_name
This would cause any errors and warnings to be logged into the err_table_name
table. That table would have a structure like:
line_number - line number in data file
error_message - the error/warning message
and maybe
data_line - the line from the data file
Add true VARCHAR support (There is already support for this in MyISAM).
Automatic output from mysql to netscape.
LOCK DATABASES. (with various options)
Change sort to allocate memory in ``hunks'' to get better memory utilization.
DECIMAL and NUMERIC types can't read exponential numbers;
Field_decimal::store(const char *from,uint len) must be recoded
to fix this.
Functions:
ADD_TO_SET(value,set) and REMOVE_FROM_SET(value,set)
Add use of t1 JOIN t2 ON ... and t1 JOIN t2 USING ...
Currently, you can only use this syntax with LEFT JOIN.
Add full support for unsigned long long type.
Many more variables for show status. Counts for:
INSERT/DELETE/UPDATE statements. Records reads and
updated. Selects on 1 table and selects with joins. Mean number of
tables in select. Number of ORDER BY and GROUP BY queries.
If you abort mysql in the middle of a query, you should open
another connection and kill the old running query.
Alternatively, an attempt should be made to detect this in the server.
Add a handler interface for table information so you can use it as a system
table. This would be a bit slow if you requested information about all tables,
but very flexible. SHOW INFO FROM tbl_name for basic table information
should be implemented.
Add support for UNICODE.
NATURAL JOIN and UNION JOIN
Allow select a from crash_me left join crash_me2 using (a); In this
case a is assumed to come from the crash_me table.
Fix that ON and USING works with the JOIN
join type.
Oracle like CONNECT BY PRIOR ... to search hierarchy structures.
mysqladmin copy database new-database. -- Requires COPY command to be
added to mysqld
Processlist should show number of queries/thread.
SHOW HOSTS for printing information about the hostname cache.
DELETE and REPLACE options to the UPDATE statement
(this will delete rows when one gets a duplicate key error while updating).
Change the format of DATETIME to store fractions of seconds.
Add all missing ANSI92 and ODBC 3.0 types.
Change table names from empty strings to NULL for calculated columns.
Don't use 'Item_copy_string' on numerical values to avoid
number->string->number conversion in case of:
SELECT COUNT(*)*(id+0) FROM table_name GROUP BY id
Make it possible to use the new GNU regexp library instead of the current
one (The GNU library should be much faster than the old one).
Change that ALTER TABLE doesn't abort clients that executes
INSERT DELAYED.
Fix that when columns referenced in an UPDATE clause contains the old
values before the update started.
myisamchk, REPAIR and OPTIMIZE TABLE should be able
to handle cases where the data and/or index files are symbolic links.
Add simulation of pread()/pwrite() on Windows to enable
concurrent inserts.
A logfile analyzer that could parsed out information about which tables
are hit most often, how often multi-table joins are executed, etc. It
should help users identify areas or table design that could be optimized
to execute much more efficient queries.
Add SUM(DISTINCT)
Add ANY(),EVERY() and SOME() group functions. In
ANSI SQL these only works on boolean columns, but we can extend these to
work on any columns/expressions by applying: value == 0 -> FALSE and
value <> 0 -> TRUE.
Fix that the type for MAX(column) is the same as the column type.
create table t1 (a DATE);
insert into t1 values (now());
create table t2 select max(a) from t1;
show columns from t2;
Come up with a nice syntax for a statement that will UPDATE the row
if it exists and INSERT a new row if the row didn't exist.
(Like REPLACE works with INSERT / DELETE)
Atomic multi-table updates, eg update items,month set
items.price=month.price where items.id=month.id;;
Change reading through tables to use memmap when possible. Now only
compressed tables use memmap.
Add a new privilege 'Show_priv' for SHOW commands.
Make the automatic timestamp code nicer. Add timestamps to the update
log with SET TIMESTAMP=#;
Use read/write mutex in some places to get more speed.
Full foreign key support. One probably wants to implement a procedural
language first.
Simple views (first on one table, later on any expression).
Automatically close some tables if a table, temporary table or temporary files
gets error 23 (not enough open files).
When one finds a field=#, change all occurrences of field to #. Now this
is only done for some simple cases.
Change all const expressions with calculated expressions if possible.
Optimize key = expression. At the moment only key = field or key =
constant are optimized.
Join some of the copy functions for nicer code.
Change `sql_yacc.yy' to an inline parser to reduce its size and get
better error messages (5 days).
Change the parser to use only one rule per different number of arguments
in function.
Use of full calculation names in the order part. (For ACCESS97)
UNION, MINUS, INTERSECT and FULL OUTER JOIN.
(Currently only LEFT OUTER JOIN is supported)
Allow UNIQUE on fields that can be NULL.
SQL_OPTION MAX_SELECT_TIME=# to put a time limit on a query.
Make the update log to a database.
Negative LIMIT to retrieve data from the end.
Alarm around client connect/read/write functions.
Please note the changes to safe_mysqld: according to FSSTND (which
Debian tries to follow) PID files should go into `/var/run/<progname>.pid'
and log files into `/var/log'. It would be nice if you could put the
"DATADIR" in the first declaration of "pidfile" and "log", so the
placement of these files can be changed with a single statement.
Allow a client to request logging.
Add use of zlib() for gzip-ed files to LOAD DATA INFILE.
Fix sorting and grouping of BLOB columns (partly solved now).
Stored procedures. This is currently not regarded to be very
important as stored procedures are not very standardized yet.
Another problem is that true stored procedures make it much harder for
the optimizer and in many cases the result is slower than before
We will, on the other hand, add a simple (atomic) update language that
can be used to write loops and such in the MySQL server.
Change to use semaphores when counting threads. One should first implement
a semaphore library to MIT-pthreads.
Don't assign a new AUTO_INCREMENT value when one sets a column to 0.
Use NULL instead.
Add full support for JOIN with parentheses.
As an alternative for one thread / connection manage a pool of threads
to handle the queries.
Allow one to get more than one lock with GET_LOCK. When doing this,
one must also handle the possible deadlocks this change will introduce.
Time is given according to amount of work, not real time.