Table of Contents
The MySQL™ software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. MySQL is a trademark of Oracle Corporation and/or its affiliates, and shall not be used by Customer without Oracle's express written authorization. Other names may be trademarks of their respective owners.
The MySQL software is Dual Licensed. Users can choose to use the MySQL software as an Open Source product under the terms of the GNU General Public License (http://www.fsf.org/licenses/) or can purchase a standard commercial license from Oracle. See http://www.mysql.com/company/legal/licensing/ for more information on our licensing policies.
The following list describes some sections of particular interest in this manual:
For a discussion about the capabilities of the MySQL Database Server, see Section 1.3.3, “The Main Features of MySQL”.
For development history, see Section 1.4, “MySQL Development History”.
For installation instructions, see Chapter 2, Installing and Upgrading MySQL. For information about upgrading MySQL, see Section 2.13.1, “Upgrading MySQL”, and the change notes at Appendix D, MySQL Change History.
For a tutorial introduction to the MySQL Database Server, see Chapter 3, Tutorial.
For information about configuring and administering MySQL Server, see Chapter 5, MySQL Server Administration.
For information about setting up replication servers, see Chapter 16, Replication.
For answers to a number of questions that are often asked concerning the MySQL Database Server and its capabilities, see Appendix B, MySQL 5.5 Frequently Asked Questions.
For a list of currently known bugs and misfeatures, see Section C.5.8, “Known Issues in MySQL”.
For a list of all the contributors to this project, see Section 1.9, “Credits”.
For a history of new features and bugfixes, see Appendix D, MySQL Change History.
For tips on porting the MySQL Database Software to new architectures or operating systems, see MySQL Internals: Porting.
        For benchmarking information, see the
        sql-bench benchmarking directory in your
        MySQL distribution.
      
To report errors (often called “bugs”), please use the instructions at Section 1.7, “How to Report Bugs or Problems”.
      If you have found a sensitive security bug in MySQL Server, please
      let us know immediately by sending an email message to
      <security@mysql.com>.
    
      This is the Reference Manual for the MySQL Database System,
      version 5.5, through release 5.5.8.
      Differences between minor versions of MySQL 5.5 are
      noted in the present text with reference to release numbers
      (5.5.x).
    
This manual is not intended for use with older versions of the MySQL software due to the many functional and other differences between MySQL 5.5 and previous versions. If you are using an earlier release of the MySQL software, please refer to the appropriate manual. For example, MySQL 5.1 Reference Manual, covers the 5.1 series of MySQL software releases.
If you are using MySQL 5.6, please refer to the MySQL 5.6 Reference Manual.
Because this manual serves as a reference, it does not provide general instruction on SQL or relational database concepts. It also does not teach you how to use your operating system or command-line interpreter.
The MySQL Database Software is under constant development, and the Reference Manual is updated frequently as well. The most recent version of the manual is available online in searchable form at http://dev.mysql.com/doc/. Other formats also are available there, including HTML, PDF, and Windows CHM versions.
The Reference Manual source files are written in DocBook XML format. The HTML version and other formats are produced automatically, primarily using the DocBook XSL stylesheets. For information about DocBook, see http://docbook.org/
The DocBook XML sources of this manual are available from http://dev.mysql.com/tech-resources/sources.html. You can check out a copy of the documentation repository with this command:
svn checkout http://svn.mysql.com/svnpublic/mysqldoc/
If you have questions about using MySQL, you can ask them using our mailing lists or forums. See Section 1.6.1, “MySQL Mailing Lists”, and Section 1.6.2, “MySQL Community Support at the MySQL Forums”. If you have suggestions concerning additions or corrections to the manual itself, please send them to the http://www.mysql.com/company/contact/.
This manual was originally written by David Axmark and Michael “Monty” Widenius. It is maintained by the MySQL Documentation Team, consisting of Paul DuBois, Stefan Hinz, Jon Stephens, Martin MC Brown, and Tony Bedford.
This manual uses certain typographical conventions:
        Text in this style is used for SQL
        statements; database, table, and column names; program listings
        and source code; and environment variables. Example: “To
        reload the grant tables, use the
        FLUSH
        PRIVILEGES statement.”
      
        Text in this style indicates input that
        you type in examples.
      
Text in this style indicates the names of executable programs and scripts, examples being mysql (the MySQL command line client program) and mysqld (the MySQL server executable).
        Text in this style is used for
        variable input for which you should substitute a value of your
        own choosing.
      
Text in this style is used for emphasis.
Text in this style is used in table headings and to convey especially strong emphasis.
        Text in this style is used to indicate a
        program option that affects how the program is executed, or that
        supplies information that is needed for the program to function
        in a certain way. Example: “The
        --host option (short form -h)
        tells the mysql client program the hostname
        or IP address of the MySQL server that it should connect
        to”.
      
        File names and directory names are written like this: “The
        global my.cnf file is located in the
        /etc directory.”
      
        Character sequences are written like this: “To specify a
        wildcard, use the ‘%’
        character.”
      
    When commands are shown that are meant to be executed from within a
    particular program, the prompt shown preceding the command indicates
    which command to use. For example, shell>
    indicates a command that you execute from your login shell,
    root-shell> is similar but should be executed
    as root, and mysql>
    indicates a statement that you execute from the
    mysql client program:
  
shell>type a shell command hereroot-shell>type a shell command asmysql>rootheretype a mysql statement here
    In some areas different systems may be distinguished from each other
    to show that commands should be executed in two different
    environments. For example, while working with replication the
    commands might be prefixed with master and
    slave:
  
master>type a mysql command on the replication master hereslave>type a mysql command on the replication slave here
The “shell” is your command interpreter. On Unix, this is typically a program such as sh, csh, or bash. On Windows, the equivalent program is command.com or cmd.exe, typically run in a console window.
When you enter a command or statement shown in an example, do not type the prompt shown in the example.
    Database, table, and column names must often be substituted into
    statements. 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 keywords are not case sensitive and may be written in any lettercase. This manual uses uppercase.
    In syntax descriptions, square brackets
    (“[” and
    “]”) indicate optional words or
    clauses. For example, in the following statement, IF
    EXISTS is optional:
  
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
    “}”):
  
{DESCRIBE | DESC} tbl_name [col_name | wild]
    An ellipsis (...) indicates the omission of a
    section of a statement, typically to provide a shorter version of
    more complex syntax. For example,
    SELECT ... INTO
    OUTFILE is shorthand for the form of
    SELECT statement that has an
    INTO OUTFILE clause following other parts of the
    statement.
  
    An ellipsis can also indicate that the preceding syntax element of a
    statement may be repeated. In the following example, multiple
    reset_option values may be given, with
    each of those after the first preceded by commas:
  
RESETreset_option[,reset_option] ...
    Commands for setting shell variables are shown using Bourne shell
    syntax. For example, the sequence to set the CC
    environment variable and run the configure
    command looks like this in Bourne shell syntax:
  
shell> CC=gcc ./configure
If you are using csh or tcsh, you must issue commands somewhat differently:
shell>setenv CC gccshell>./configure
MySQL, the most popular Open Source SQL database management system, is developed, distributed, and supported by Oracle Corporation.
The MySQL Web site (http://www.mysql.com/) provides the latest information about MySQL software.
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 Server. Since computers are very good at handling large amounts of data, database management systems play a central role in computing, as standalone 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 SQL part of “MySQL” stands for “Structured Query Language.” SQL is the most common standardized language used to access databases and is defined by the ANSI/ISO SQL Standard. The SQL standard has been evolving since 1986 and several versions exist. In this manual, “SQL-92” refers to the standard released in 1992, “SQL:1999” refers to the standard released in 1999, and “SQL:2003” refers to the current version of the standard. We use the phrase “the SQL standard” to mean the current version of the SQL Standard at any time.
MySQL software is Open Source.
Open Source means that it is possible for anyone to use and modify the software. Anybody can download the MySQL software from the Internet and use it without paying anything. If you wish, you may study the source code and change it to suit your needs. The MySQL software uses the GPL (GNU General Public License), http://www.fsf.org/licenses/, 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 code into a commercial application, you can buy a commercially licensed version from us. See the MySQL Licensing Overview for more information (http://www.mysql.com/company/legal/licensing/).
The MySQL Database Server is very fast, reliable, and easy to use.
If that is what you are looking for, you should give it a try. MySQL Server also has a practical set of features developed in close cooperation with our users. You can find a performance comparison of MySQL Server with other database managers on our benchmark page. See Section 7.12.2, “The MySQL Benchmark Suite”.
MySQL Server was originally developed to handle large databases much faster than existing solutions and has been successfully used in highly demanding production environments for several years. Although under constant development, MySQL Server today offers a rich and useful set of functions. Its connectivity, speed, and security make MySQL Server highly suited for accessing databases on the Internet.
MySQL Server works in client/server or embedded systems.
The MySQL Database Software 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 a wide range of application programming interfaces (APIs).
We also provide MySQL Server as an embedded multi-threaded library that you can link into your application to get a smaller, faster, easier-to-manage standalone product.
A large amount of contributed MySQL software is available.
It is very likely that your favorite application or language supports the MySQL Database Server.
The official way to pronounce “MySQL” is “My Ess Que Ell” (not “my sequel”), but we do not mind if you pronounce it as “my sequel” or in some other localized way.
      We started out with the intention of using the
      mSQL database system 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 or 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
      designed to enable third-party code that was written for use with
      mSQL to be ported easily for use with MySQL.
    
MySQL is named after co-founder Monty Widenius's daughter, My.
The name of the MySQL Dolphin (our logo) is “Sakila,” which was chosen from a huge list of names suggested by users in our “Name the Dolphin” contest. The winning name was submitted by Ambrose Twebaze, an Open Source software developer from Swaziland, Africa. According to Ambrose, the feminine name Sakila has its roots in SiSwati, the local language of Swaziland. Sakila is also the name of a town in Arusha, Tanzania, near Ambrose's country of origin, Uganda.
This section describes some of the important characteristics of the MySQL Database Software. See also Section 1.4, “MySQL Development History”. In most respects, the roadmap applies to all versions of MySQL. For information about features as they are introduced into MySQL on a series-specific basis, see the “In a Nutshell” section of the appropriate Manual:
MySQL 4.0: MySQL 4.0 in a Nutshell
MySQL 4.1: MySQL 4.1 in a Nutshell
MySQL 5.0: MySQL 5.0 in a Nutshell
MySQL 5.1: MySQL 5.1 in a Nutshell
MySQL 5.5: MySQL 5.5 in a Nutshell
MySQL 5.6: MySQL 5.6 in a Nutshell
Internals and Portability:
Written in C and C++.
Tested with a broad range of different compilers.
Works on many different platforms. See Section 2.1.1, “Operating Systems Supported by MySQL Community Server”.
Uses GNU Automake, Autoconf, and Libtool for portability.
Tested with Purify (a commercial memory leakage detector) as well as with Valgrind, a GPL tool (http://developer.kde.org/~sewardj/).
Uses multi-layered server design with independent modules.
Designed to be fully multi-threaded using kernel threads, to easily use multiple CPUs if they are available.
Provides transactional and nontransactional storage engines.
          Uses very fast B-tree disk tables (MyISAM)
          with index compression.
        
Designed to make it relatively easy to add other storage engines. This is useful if you want to provide an SQL interface for an in-house database.
Uses a very fast thread-based memory allocation system.
Executes very fast joins using an optimized nested-loop join.
Implements in-memory hash tables, which are used as temporary tables.
Implements SQL functions using a highly optimized class library that should be as fast as possible. Usually there is no memory allocation at all after query initialization.
Provides the server as a separate program for use in a client/server networked environment, and as a library that can be embedded (linked) into standalone applications. Such applications can be used in isolation or in environments where no network is available.
Data Types:
Statements and Functions:
          Full operator and function support in the
          SELECT list and
          WHERE clause of queries. For example:
        
mysql>SELECT CONCAT(first_name, ' ', last_name)->FROM citizen->WHERE income/dependents > 10000 AND age > 30;
          Full support for SQL GROUP BY and
          ORDER BY clauses. Support for group
          functions (COUNT(),
          AVG(),
          STD(),
          SUM(),
          MAX(),
          MIN(), and
          GROUP_CONCAT()).
        
          Support for LEFT OUTER JOIN and
          RIGHT OUTER JOIN with both standard SQL and
          ODBC syntax.
        
Support for aliases on tables and columns as required by standard SQL.
          Support for DELETE,
          INSERT,
          REPLACE, and
          UPDATE to return the number of
          rows that were changed (affected), or to return the number of
          rows matched instead by setting a flag when connecting to the
          server.
        
          Support for MySQL-specific SHOW
          statements that retrieve information about databases, storage
          engines, tables, and indexes. MySQL 5.0 adds support for the
          INFORMATION_SCHEMA database, implemented
          according to standard SQL.
        
          An EXPLAIN statement to show
          how the optimizer resolves a query.
        
          Independence of function names from table or column names. For
          example, ABS is a valid column name. The
          only restriction is that for a function call, no spaces are
          permitted between the function name and the
          “(” that follows it. See
          Section 8.3, “Reserved Words”.
        
You can refer to tables from different databases in the same statement.
Security:
A privilege and password system that is very flexible and secure, and that enables host-based verification.
Password security by encryption of all password traffic when you connect to a server.
Scalability and Limits:
Support for large databases. We use MySQL Server with databases that contain 50 million records. We also know of users who use MySQL Server with 200,000 tables and about 5,000,000,000 rows.
          Support for up to 64 indexes per table (32 before MySQL
          4.1.2). Each index may consist of 1 to 16 columns or parts of
          columns. The maximum index width is 1000 bytes (767 for
          InnoDB); before MySQL 4.1.2, the limit is
          500 bytes. An index may use a prefix of a column for
          CHAR,
          VARCHAR,
          BLOB, or
          TEXT column types.
        
Connectivity:
Clients can connect to MySQL Server using several protocols:
Clients can connect using TCP/IP sockets on any platform.
              On Windows systems in the NT family (NT, 2000, XP, 2003,
              or Vista), clients can connect using named pipes if the
              server is started with the
              --enable-named-pipe option.
              In MySQL 4.1 and higher, Windows servers also support
              shared-memory connections if started with the
              --shared-memory option.
              Clients can connect through shared memory by using the
              --protocol=memory option.
            
On Unix systems, clients can connect using Unix domain socket files.
MySQL client programs can be written in many languages. A client library written in C is available for clients written in C or C++, or for any language that provides C bindings.
APIs for C, C++, Eiffel, Java, Perl, PHP, Python, Ruby, and Tcl are available, enabling MySQL clients to be written in many languages. See Chapter 21, Connectors and APIs.
The Connector/ODBC (MyODBC) interface provides MySQL support for client programs that use ODBC (Open Database Connectivity) connections. For example, you can use MS Access to connect to your MySQL server. Clients can be run on Windows or Unix. MyODBC source is available. All ODBC 2.5 functions are supported, as are many others. See Section 21.1, “MySQL Connector/ODBC”.
The Connector/J interface provides MySQL support for Java client programs that use JDBC connections. Clients can be run on Windows or Unix. Connector/J source is available. See Section 21.3, “MySQL Connector/J”.
MySQL Connector/NET enables developers to easily create .NET applications that require secure, high-performance data connectivity with MySQL. It implements the required ADO.NET interfaces and integrates into ADO.NET aware tools. Developers can build applications using their choice of .NET languages. MySQL Connector/NET is a fully managed ADO.NET driver written in 100% pure C#. See Section 21.2, “MySQL Connector/NET”.
Localization:
The server can provide error messages to clients in many languages. See Section 9.2, “Setting the Error Message Language”.
          Full support for several different character sets, including
          latin1 (cp1252), german,
          big5, ujis, and more.
          For example, the Scandinavian characters
          “å”,
          “ä” and
          “ö” are permitted in table
          and column names. Unicode support is available as of MySQL
          4.1.
        
All data is saved in the chosen character set.
          Sorting and comparisons are done according to the chosen
          character set and collation (using latin1
          and Swedish collation by default). It is possible to change
          this when the MySQL server is started. To see an example of
          very advanced sorting, look at the Czech sorting code. MySQL
          Server supports many different character sets that can be
          specified at compile time and runtime.
        
As of MySQL 4.1, the server time zone can be changed dynamically, and individual clients can specify their own time zone. Section 9.6, “MySQL Server Time Zone Support”.
Clients and Tools:
MySQL includes several client and utility programs. These include both command-line programs such as mysqldump and mysqladmin, and graphical programs such as MySQL Administrator and MySQL Query Browser.
          MySQL Server has built-in support for SQL statements to check,
          optimize, and repair tables. These statements are available
          from the command line through the
          mysqlcheck client. MySQL also includes
          myisamchk, a very fast command-line utility
          for performing these operations on MyISAM
          tables. See Chapter 4, MySQL Programs.
        
          MySQL programs can be invoked with the --help
          or -? option to obtain online assistance.
        
This section describes the general MySQL development history, provides an overview about features that have been implemented in previous series and that are new in MySQL 5.5, the release series covered in this manual. The maturity level this release series is m3. Information about maturity levels can be found in Section 2.1.2.1, “Choosing Which Version of MySQL to Install”.
Before upgrading from one release series to the next, please see the notes in Section 2.13.1, “Upgrading MySQL”.
The most requested features and the versions in which they were implemented are summarized in the following table.
| Feature | MySQL Series | 
|---|---|
| Unions | 4.0 | 
| Subqueries | 4.1 | 
| R-trees | 4.1 (for the MyISAMstorage engine) | 
| Stored procedures and functions | 5.0 | 
| Views | 5.0 | 
| Cursors | 5.0 | 
| XA transactions | 5.0 | 
| Triggers | 5.0 and 5.1 | 
| Event scheduler | 5.1 | 
| Partitioning | 5.1 | 
| Pluggable storage engine API | 5.1 | 
| Plugin API | 5.1 | 
| Row-based replication | 5.1 | 
| Server log tables | 5.1 | 
| Scalability and performance improvements | 5.4 | 
| DTrace support | 5.4 | 
| InnoDB Plugin | 5.4 | 
| Semisynchronous replication | 5.5 | 
| SIGNAL/RESIGNAL support in stored routines | 5.5 | 
| Performance Schema | 5.5 | 
| Supplementary Unicode characters | 5.5 | 
The following features have been added to MySQL 5.5:
          Improved scalability on multi-core CPUs. The trend in hardware
          development now is toward more cores rather than continued
          increases in CPU clock speeds, which renders “wait until
          CPUs get faster” a nonviable means of improving
          database performance. Instead, it is necessary to make better
          use of multiple cores to maximally exploit the processing
          cycles they make available. MySQL 5.5 takes
          advantage of features of SMP systems and tries to eliminate
          bottlenecks in MySQL architecture that hinder full use of
          multiple cores. The focus has been on
          InnoDB, especially locking and
          memory management.
        
          InnoDB I/O subsystem changes
          enable more effective use of available I/O capacity.
        
Several modifications improve operation of MySQL Server on Solaris.
          There is better access to execution and performance
          information. Diagnostic improvements include DTrace probes,
          expanded SHOW
          ENGINE INNODB STATUS output, and a new status
          variable.
        
Support for an interface for semisynchronous replication: A commit performed on the master side blocks before returning to the session that performed the transaction until at least one slave acknowledges that it has received and logged the events for the transaction. Semisynchronous replication is implemented through an optional plugin component. See Section 16.3.8, “Semisynchronous Replication”
          Support for the SQL standard
          SIGNAL and
          RESIGNAL statements. See
          Section 12.7.8, “SIGNAL and
      RESIGNAL”.
        
Support for Performance Schema, a feature for monitoring MySQL Server execution at a low level. See Chapter 20, MySQL Performance Schema.
          Support for additional Unicode character sets:
          utf16, utf32, and
          utf8mb4. These character sets support
          supplementary Unicode characters; that is, characters outside
          the Basic Multilingual Plane (BMP). See
          Section 9.1.10, “Unicode Support”.
        
          Enhancements to XML functionality, including a new
          LOAD XML statement.
        
          Two new types of user-defined partitioning are supported:
          RANGE COLUMNS partitioning is an extension
          to RANGE partitioning; LIST
          COLUMNS partitioning is an extension to
          LIST partitioning. Each of these extensions
          provides two enhancements to MySQL partitioning capabilities:
        
              It is possible to define partitioning ranges or lists
              based on DATE,
              DATETIME, or string values
              (such as CHAR or
              VARCHAR).
            
              You can also define ranges or lists based on multiple
              column values when partitioning tables by RANGE
              COLUMNS or LIST COLUMNS,
              respectively. Such a range or list may refer to up to 16
              columns.
            
              For tables defined using these partitioning types,
              partition pruning can now optimize queries with
              WHERE conditions that use multiple
              comparisons between (different) column values and
              constants, such as a = 10 AND b > 5
              or a < "2005-11-25" AND b = 10 AND c =
              50.
            
          For more information, see
          Section 17.2.1, “RANGE Partitioning”, and
          Section 17.2.2, “LIST Partitioning”.
        
          It is now possible to delete all rows from one or more
          partitions of a partitioned table using the
          ALTER TABLE ...
          TRUNCATE PARTITION statement. Executing the
          statement deletes rows without affecting the structure of the
          table. The partitions named in the TRUNCATE
          PARTITION clause do not have to be contiguous.
        
          Key caches are now supported for indexes on partitioned
          MyISAM tables, using the
          CACHE INDEX and
          LOAD INDEX INTO
          CACHE statements. In addition, a key cache can be
          defined for and loaded with indexes from an entire partitioned
          table, or for one or more partitions. In the latter case, the
          partitions are not required to be contiguous.
        
          The TO_SECONDS() function is
          added. This function converts a date or datetime expression to
          a number of seconds since the year 0. You may use this
          function in partitioning expressions, and partition pruning is
          supported for tables defined using such expressions.
        
The following constructs are obsolete and have been removed in MySQL 5.5. Where alternatives are shown, applications should be updated to use them.
          The log_bin_trust_routine_creators system
          variable (use
          log_bin_trust_function_creators).
        
          The myisam_max_extra_sort_file_size system
          variable.
        
          The record_buffer system variable (use
          read_buffer_size).
        
          The sql_log_update system variable.
        
          The table_type system variable (use
          storage_engine).
        
          The FRAC_SECOND modifier for the
          TIMESTAMPADD() function.
        
          The TYPE table option to specify the
          storage engine for CREATE TABLE
          or ALTER TABLE (use
          ENGINE).
        
          The SHOW TABLE TYPES SQL statement (use
          SHOW ENGINES).
        
          The SHOW INNODB STATUS and SHOW
          MUTEX STATUS SQL statements (use
          SHOW ENGINE
          INNODB STATUS
          SHOW ENGINE
          INNODB MUTEX).
        
          The SHOW PLUGIN SQL statement (use
          SHOW PLUGINS).
        
          The LOAD TABLE ... FROM MASTER and
          LOAD DATA FROM MASTER SQL statements (use
          mysqldump or
          mysqlhotcopy to dump tables and
          mysql to reload dump files).
        
          The BACKUP TABLE and RESTORE
          TABLE SQL statements (use
          mysqldump or
          mysqlhotcopy to dump tables and
          mysql to reload dump files).
        
          TIMESTAMP(
          data type: The ability to specify a display width of
          N)N (use without
          N).
        
          The --default-character-set and
          --default-collation server options (use
          --character-set-server and
          --collation-server).
        
          The --delay-key-write-for-all-tables server
          option (use
          --delay-key-write=ALL).
        
          The --enable-locking and
          --skip-locking server options (use
          --external-locking and
          --skip-external-locking).
        
          The --log-bin-trust-routine-creators server
          option (use
          --log-bin-trust-function-creators).
        
          The --log-long-format server option.
        
          The --log-update server option.
        
          The --master-
          server options to set replication parameters (use the
          xxxCHANGE MASTER TO statement
          instead): --master-host,
          --master-user,
          --master-password,
          --master-port,
          --master-connect-retry,
          --master-ssl,
          --master-ssl-ca,
          --master-ssl-capath,
          --master-ssl-cert,
          --master-ssl-cipher,
          --master-ssl-key.
        
          The --safe-show-database server option.
        
          The --skip-symlink and
          --use-symbolic-links server options (use
          --skip-symbolic-links
          and --symbolic-links).
        
          The --sql-bin-update-same server option.
        
          The --warnings server option (use
          --log-warnings).
        
          The --no-named-commands option for
          mysql (use
          --skip-named-commands
        
          The --no-pager option for
          mysql (use --skip-pager).
        
          The --no-tee option for
          mysql (use --skip-tee).
        
          The --position option for
          mysqlbinlog (use
          --start-position).
        
          The --all option for
          mysqldump (use
          --create-options).
        
          The --first-slave option for
          mysqldump (use
          --lock-all-tables).
        
          The --config-file option for
          mysqld_multi (use
          --defaults-extra-file).
        
          The
          --set-variable=
          and var_name=value-O
          
          general-purpose options for setting program variables (use
          var_name=value--).
        var_name=value
        MySQL 5.5 modifications improve performance on SMP
        systems to increase scalability on multi-core systems. The
        changes affect InnoDB locking and
        memory management.
      
        MySQL 5.5 incorporates changes in
        InnoDB that improve the performance
        of RW-locks by using atomic CPU instructions (on platforms where
        they are available), rather than less scalable mutexes. It is
        also possible for InnoDB memory
        allocation to be disabled and replaced by the normal
        malloc library, or by a different library
        that implements malloc such as
        tcmalloc on Linux or
        mtalloc on Solaris.
      
        The reimplementation of RW-locks requires atomic instructions. A
        status variable,
        Innodb_have_atomic_builtins,
        shows whether the server was built with atomic instructions.
      
        MySQL 5.5 changes to the
        InnoDB I/O subsystem enable more
        effective use of available I/O capacity. The changes also
        provide more control over configuration of the I/O subsystem.
      
Background I/O Threads
        InnoDB uses background threads to
        perform I/O for several kinds of activities, two of which are
        prefetching disk blocks and flushing dirty pages. Previously,
        InnoDB used only one thread each to
        perform these activities, but that can underutilize server
        capacity. MySQL 5.5 enables use of multiple
        background read and write threads, making it possible to read
        and write pages faster.
      
        The patch makes the number of background I/O threads
        configurable using system variables:
        innodb_read_io_threads controls
        the number of threads to use for read prefetch requests.
        innodb_write_io_threads
        controls the number of threads to use for writing dirty pages
        from the buffer cache to disk. The default for both variables is
        4.
      
        The ability to increase the number of I/O threads can benefit
        systems that use multiple disks for
        InnoDB. However, the type of I/O
        being done should be considered. On systems that use buffered
        writes rather than direct writes, increasing the write thread
        count higher than 1 might yield little benefit because writes
        will be quick already.
      
Adjustable I/O Rate
        Previously, the number of input/output operations per second
        (IOPS) that InnoDB will perform was
        a compile-time parameter. The rate was chosen to prevent
        background I/O from exhausting server capacity and the
        compiled-in value of 100 reflected an assumption that the server
        can perform 100 IOPS. However, many modern systems can exceed
        this, so the value is low and unnecessarily restricts I/O
        utilization.
      
        MySQL 5.5 exposes this I/O rate parameter as a
        system variable,
        innodb_io_capacity. This
        variable can be set at server startup, which enables higher
        values to be selected for systems capable of higher I/O rates.
        Having a higher I/O rate can help the server handle a higher
        rate of row changes because it may be able to increase
        dirty-page flushing, deleted-row removal, and application of
        changes to the insert buffer. The default value of
        innodb_io_capacity is 200. In
        general, you can increase the value as a function of the number
        of drives used for InnoDB I/O.
      
        The ability to raise the I/O limit should be especially
        beneficial on platforms that support many IOPS. For example,
        systems that use multiple disks or solid-state disks for
        InnoDB are likely to benefit from
        the ability to control this parameter.
      
MySQL 5.5 incorporates several modifications for improved operation of MySQL Server on Solaris:
DTrace support for execution monitoring. See Section 1.5.4, “Diagnostic and Monitoring Capabilities”.
Atomic instructions, which are needed for the improvements to RW-locking described in Section 1.5.1, “Scalability Improvements”. Atomic instructions now are supported for Sun Studio on SPARC and x86 platforms. This extends their previous availability (supported for gcc 4.1 and up on all platforms).
The SMP improvements described in Section 1.5.1, “Scalability Improvements”, were originally intended for x86 platforms. In MySQL 5.5, these also work on SPARC platforms. Also, Solaris optimizations have been implemented.
            Large page support is enhanced for recent SPARC platforms.
            Standard use of large pages in MySQL attempts to use the
            largest size supported, up to 4MB. Under Solaris, a
            “super large pages” feature enables uses of
            pages up to 256MB. This feature can be enabled or disabled
            by using the
            --super-large-pages or
            --skip-super-large-pages
            option.
          
            Inline handling for InnoDB and
            processor instruction prefetching support, previously not
            enabled for builds created using Sun Studio, now are
            supported for that build environment.
          
        MySQL 5.5 provides improved access to execution and
        performance information. Diagnostic improvements include Dtrace
        probes, expanded
        SHOW ENGINE INNODB
        STATUS output, and a new status variable.
      
DTrace Support
MySQL 5.5 includes support for DTrace. The DTrace probes work on Solaris, Mac OS X, and FreeBSD. For information on using DTrace in MySQL, see Section 5.7, “Tracing mysqld Using DTrace”.
        Enhanced
        SHOW ENGINE INNODB
        STATUS Output
      
        The output from
        SHOW ENGINE INNODB
        STATUS includes more information due to changes made
        for InnoDB Plugin. A description of revisions
        to statement output follows.
      
        A new BACKGROUND THREAD section has
        srv_master_thread lines that show work done
        by the main background thread.
      
---------- BACKGROUND THREAD ---------- srv_master_thread loops: 53 1_second, 44 sleeps, 5 10_second, 7 background, 7 flush srv_master_thread log flush and writes: 48
        The SEMAPHORES section includes a line to
        show the number of spinlock rounds per OS wait for a mutex.
      
---------- SEMAPHORES ---------- ... Spin rounds per wait: 0.00 mutex, 20.00 RW-shared, 0.00 RW-excl
New Status Variable
        The
        Innodb_have_atomic_builtins
        status variable provides information about availability of
        atomic instructions; see Section 1.5.1, “Scalability Improvements”.
      
This section lists sources of additional information that you may find helpful, such as the MySQL mailing lists and user forums, and Internet Relay Chat.
This section introduces the MySQL mailing lists and provides guidelines as to how the lists should be used. When you subscribe to a mailing list, you receive all postings to the list as email messages. You can also send your own questions and answers to the list.
To subscribe to or unsubscribe from any of the mailing lists described in this section, visit http://lists.mysql.com/. For most of them, you can select the regular version of the list where you get individual messages, or a digest version where you get one large message per day.
Please do not send messages about subscribing or unsubscribing to any of the mailing lists, because such messages are distributed automatically to thousands of other users.
      Your local site may have many subscribers to a MySQL mailing list.
      If so, the site 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 MySQL mailing lists are as follows:
          announce
        
The list for announcements of new versions of MySQL and related programs. This is a low-volume list to which all MySQL users should subscribe.
          mysql
        
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.
          bugs
        
The list for people who want to stay informed about issues reported since the last release of MySQL or who want to be actively involved in the process of bug hunting and fixing. See Section 1.7, “How to Report Bugs or Problems”.
          internals
        
The list for people who work on the MySQL code. This is also the forum for discussions on MySQL development and for posting patches.
          mysqldoc
        
The list for people who work on the MySQL documentation.
          benchmarks
        
The list for anyone interested in performance issues. Discussions concentrate on database performance (not limited to MySQL), but also include broader categories such as performance of the kernel, file system, disk system, and so on.
          packagers
        
The list for discussions on packaging and distributing MySQL. This is the forum used by distribution maintainers to exchange ideas on packaging MySQL and on ensuring that MySQL looks and feels as similar as possible on all supported platforms and operating systems.
          java
        
The list for discussions about the MySQL server and Java. It is mostly used to discuss JDBC drivers such as MySQL Connector/J.
          win32
        
The list for all topics concerning the MySQL software on Microsoft operating systems, such as Windows 9x, Me, NT, 2000, XP, and 2003.
          myodbc
        
The list for all topics concerning connecting to the MySQL server with ODBC.
          gui-tools
        
          The list for all topics concerning MySQL graphical user
          interface tools such as MySQL Administrator
          and MySQL Query Browser.
        
          cluster
        
The list for discussion of MySQL Cluster.
          dotnet
        
The list for discussion of the MySQL server and the .NET platform. It is mostly related to MySQL Connector/Net.
          plusplus
        
The list for all topics concerning programming with the C++ API for MySQL.
          perl
        
          The list for all topics concerning Perl support for MySQL with
          DBD::mysql.
        
If you're unable to get an answer to your questions from a MySQL mailing list or forum, one option is to purchase support from Oracle. This puts you in direct contact with MySQL developers.
The following MySQL mailing lists are in languages other than English. These lists are not operated by Oracle.
          <mysql-france-subscribe@yahoogroups.com>
A French mailing list.
          A Korean mailing list. To subscribe, email subscribe
          mysql your@email.address to this list.
        
          <mysql-de-request@lists.4t2.com>
          A German mailing list. To subscribe, email subscribe
          mysql-de your@email.address to this list. You can
          find information about this mailing list at
          http://www.4t2.com/mysql/.
        
          <mysql-br-request@listas.linkway.com.br>
          A Portuguese mailing list. To subscribe, email
          subscribe mysql-br your@email.address to
          this list.
        
          A Spanish mailing list. To subscribe, email subscribe
          mysql your@email.address to this list.
        
Please do not post mail messages from your browser with HTML mode turned on. Many users do not read mail with a browser.
When you answer a question sent to a mailing list, if you consider your answer to have broad interest, you may want to post it to the 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. Do not feel obliged to quote the entire original message.
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.
The forums at http://forums.mysql.com are an important community resource. Many forums are available, grouped into these general categories:
Migration
MySQL Usage
MySQL Connectors
Programming Languages
Tools
3rd-Party Applications
Storage Engines
MySQL Technology
SQL Standards
Business
In addition to the various MySQL mailing lists and forums, you can find experienced community people on Internet Relay Chat (IRC). These are the best networks/channels currently known to us:
freenode (see http://www.freenode.net/ for servers)
          #mysql is primarily for MySQL questions,
          but other database and general SQL questions are welcome.
          Questions about PHP, Perl, or C in combination with MySQL are
          also common.
        
      If you are looking for IRC client software to connect to an IRC
      network, take a look at xChat
      (http://www.xchat.org/). X-Chat (GPL licensed) is
      available for Unix as well as for Windows platforms (a free
      Windows build of X-Chat is available at
      http://www.silverex.org/download/).
    
Oracle offers technical support in the form of MySQL Enterprise. For organizations that rely on the MySQL DBMS for business-critical production applications, MySQL Enterprise is a commercial subscription offering which includes:
MySQL Enterprise Server
MySQL Enterprise Monitor
Monthly Rapid Updates and Quarterly Service Packs
MySQL Knowledge Base
24x7 Technical and Consultative Support
MySQL Enterprise is available in multiple tiers, giving you the flexibility to choose the level of service that best matches your needs. For more information, see MySQL Enterprise.
Before posting a bug report about a problem, please try to verify that it is a bug and that it has not been reported already:
Start by searching the MySQL online manual at http://dev.mysql.com/doc/. We try to keep the manual up to date by updating it frequently with solutions to newly found problems. The change history (http://dev.mysql.com/doc/mysql/en/news.html) can be particularly useful since it is quite possible that a newer version contains a solution to your problem.
        If you get a parse error for an SQL statement, please check your
        syntax closely. If you cannot find something wrong with it, it
        is extremely likely that your current version of MySQL Server
        doesn't support the syntax you are using. If you are using the
        current version and the manual doesn't cover the syntax that you
        are using, MySQL Server doesn't support your statement. In this
        case, your options are to implement the syntax yourself or email
        <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 Server, 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 Server.
For solutions to some common problems, see Section C.5, “Problems and Common Errors”.
Search the bugs database at http://bugs.mysql.com/ to see whether the bug has been reported and fixed.
Search the MySQL mailing list archives at http://lists.mysql.com/. See Section 1.6.1, “MySQL Mailing Lists”.
You can also use http://www.mysql.com/search/ to search all the Web pages (including the manual) that are located at the MySQL Web site.
If you cannot find an answer in the manual, the bugs database, or the mailing list archives, check with your local MySQL expert. If you still cannot find an answer to your question, please use the following guidelines for reporting the bug.
The normal way to report bugs is to visit http://bugs.mysql.com/, which is the address for our bugs database. This database is public and can be browsed and searched by anyone. If you log in to the system, you can enter new reports. If you have no Web access, you can generate a bug report by using the mysqlbug script described at the end of this section.
Bugs posted in the bugs database at http://bugs.mysql.com/ that are corrected for a given release are noted in the change history.
    If you have found a sensitive security bug in MySQL, you can send
    email to <security@mysql.com>.
  
To discuss problems with other users, you can use one of the MySQL mailing lists. Section 1.6.1, “MySQL Mailing Lists”.
Writing a good bug report takes patience, but doing it right the first time saves time both for us and for yourself. A good bug report, containing a full test case for the bug, makes it very likely that we will fix the bug in the next release. This section helps you write your report correctly so that you do not waste your time doing things that may not help us much or at all. Please read this section carefully and make sure that all the information described here is included in your report.
    Preferably, you should test the problem using the latest production
    or development version of MySQL Server before posting. Anyone should
    be able to repeat the bug by just using mysql test <
    script_file on your test case or by running the shell or
    Perl script that you include in the bug report. Any bug that we are
    able to repeat has a high chance of being fixed in the next MySQL
    release.
  
It is most helpful when a good description of the problem is included in the bug report. That is, give a good example of everything you did that led to the problem and describe, in exact detail, the problem itself. The best reports are those that include a full example showing how to reproduce the bug or problem. See MySQL Internals: Porting.
Remember that it is possible for us to respond to a report containing too much information, but not to one containing too little. People often omit facts because they think they know the cause of a problem and assume that some details do not matter. A good principle to follow is that if you are in doubt about stating something, state it. It is faster and less troublesome to write a couple more lines in your report than to wait longer for the answer if we must ask you to provide information that was missing from the initial report.
The most common errors made in bug reports are (a) not including the version number of the MySQL distribution that you use, and (b) not fully describing the platform on which the MySQL server is installed (including the platform type and version number). These are highly relevant pieces of information, and in 99 cases out of 100, the bug report is useless without them. 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 in newer MySQL versions. Errors often are platform-dependent. In such cases, it is next to impossible for us to fix anything without knowing the operating system and the version number of the platform.
If you compiled MySQL from source, 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 your problem depends on your compiler, we need to know what compiler you used. Note that every compiling problem should be regarded as a bug and reported accordingly.
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, it is better that the error message reported exactly matches the one that the program produces. (Even the lettercase should be observed.) It is best to copy and paste the entire error message into your report. You should never try to reproduce the message from memory.
If you have a problem with Connector/ODBC (MyODBC), please try to generate a trace file and send it with your report. See the MyODBC section of Chapter 21, Connectors and APIs.
    If your report includes long query output lines from test cases that
    you run with the mysql command-line tool, you can
    make the output more readable by using the
    --vertical option or the
    \G statement terminator. The
    EXPLAIN SELECT
    example later in this section demonstrates the use of
    \G.
  
Please include the following information in your report:
        The version number of the MySQL distribution you are using (for
        example, MySQL 5.0.19). You can find out which version you are
        running by executing mysqladmin version. The
        mysqladmin program can be found in the
        bin directory under your MySQL installation
        directory.
      
The manufacturer and model of the machine on which you experience the problem.
        The operating system name and version. If you work with Windows,
        you can usually get the name and version number by
        double-clicking your My Computer icon and pulling down the
        “Help/About Windows” menu. For most Unix-like
        operating systems, you can get this information by executing the
        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 the MySQL software, include the name and version number of the compiler that you used. If you have a binary distribution, include the distribution name.
If the problem occurs during compilation, include the exact error messages and also a few lines of context around the offending code in the file where the error occurs.
If mysqld died, you should also report the statement that crashed mysqld. You can usually get this information by running mysqld with query logging enabled, and then looking in the log after mysqld crashes. See MySQL Internals: Porting.
        If a database table is related to the problem, include the
        output from the SHOW CREATE TABLE
        
        statement in the bug report. This is a very easy way to get the
        definition of any table in a database. The information helps us
        create a situation matching the one that you have experienced.
      db_name.tbl_name
        The SQL mode in effect when the problem occurred can be
        significant, so please report the value of the
        sql_mode system variable. For
        stored procedure, stored function, and trigger objects, the
        relevant sql_mode value is the
        one in effect when the object was created. For a stored
        procedure or function, the SHOW CREATE
        PROCEDURE or SHOW CREATE
        FUNCTION statement shows the relevant SQL mode, or you
        can query INFORMATION_SCHEMA for the
        information:
      
SELECT ROUTINE_SCHEMA, ROUTINE_NAME, SQL_MODE FROM INFORMATION_SCHEMA.ROUTINES;
For triggers, you can use this statement:
SELECT EVENT_OBJECT_SCHEMA, EVENT_OBJECT_TABLE, TRIGGER_NAME, SQL_MODE FROM INFORMATION_SCHEMA.TRIGGERS;
        For performance-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. You
        should also include the output from SHOW CREATE TABLE
         for each table
        that is involved. The more information you provide about your
        situation, the more likely it is that someone can help you.
      tbl_name
        The following is an example of a very good bug report. The
        statements are run using the mysql
        command-line tool. Note the use of the \G
        statement terminator for statements that would otherwise provide
        very long output lines that are difficult to read.
      
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 reproduces 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 reproducible test case, you should upload it to be attached to the bug report.
If you cannot provide a script, you should at least include the output from mysqladmin variables extended-status processlist in your report to provide some information on how your system is performing.
        If you cannot produce a test case with only a few rows, or if
        the test table is too big to be included in the bug report (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://ftp.mysql.com/pub/mysql/upload/. Then enter the problem into
        our bugs database at http://bugs.mysql.com/.
      
If you believe that the MySQL server produces a strange result from a statement, include not only the result, but also your opinion of what the result should be, and an explanation describing the basis for your opinion.
When you provide an example of the problem, it is better to use the table names, variable names, and so forth that exist in your actual situation than to come up with new names. The problem could be related to the name of a table or variable. 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. If you have data that you do not want to be visible to others in the bug report, you can use FTP to transfer it to ftp://ftp.mysql.com/pub/mysql/upload/. If the information is really top secret and you do not want to show it even to us, 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 server, as well as the
        options that you use to run any MySQL client programs. The
        options to programs such as mysqld and
        mysql, and to the
        configure script, are often key to resolving
        problems and are very relevant. It is never a bad idea to
        include them. If your problem involves a program written in a
        language such as Perl or PHP, please include the language
        processor's version number, as well as the version for any
        modules that the program uses. For example, if you have a Perl
        script that uses the DBI and
        DBD::mysql modules, include the version
        numbers for Perl, DBI, and
        DBD::mysql.
      
        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, do include it. But do not assume that the patch is all we need, or that we can use it, if you do not 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 cannot use it.
If we cannot verify the exact purpose of the patch, we will not use it. Test cases help us here. Show that the patch handles all the situations that may occur. If we find a borderline case (even a rare one) where the patch will not 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 cannot guess such things without first using a debugger to determine the real cause of a bug.
Indicate in your bug report that you have checked the reference manual and mail archive so that others know you have tried to solve the problem yourself.
        If the problem is that your data appears corrupt or you get
        errors when you access a particular table, you should first
        check your tables and then try to repair them with
        CHECK TABLE and
        REPAIR TABLE or with
        myisamchk. See
        Chapter 5, MySQL Server Administration.
      
        If you are running Windows, please verify the value of
        lower_case_table_names using
        the SHOW VARIABLES LIKE
        'lower_case_table_names' statement. This variable
        affects how the server handles lettercase of database and table
        names. Its effect for a given value should be as described in
        Section 8.2.2, “Identifier Case Sensitivity”.
      
        If you often get corrupted tables, you should try to find out
        when and why this happens. In this case, the error log in the
        MySQL data directory may contain some information about what
        happened. (This is the file with the .err
        suffix in the name.) See Section 5.2.2, “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 is much easier for us to
        provide you with a fix for the problem. See
        Section C.5.1, “How to Determine What Is Causing a Problem”.
      
If possible, download and install the most recent version of MySQL Server and check whether it solves your problem. All versions of the MySQL software 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 without difficulty. See Section 2.1.2, “Choosing Which MySQL Distribution to Install”.
    If you have no Web access and cannot report a bug by visiting
    http://bugs.mysql.com/, you can use the
    mysqlbug script to generate a bug report (or a
    report about any problem). mysqlbug 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. mysqlbug can be found in
    the scripts directory (source distribution) and
    in the bin directory under your MySQL
    installation directory (binary distribution).
  
This section describes how MySQL relates to the ANSI/ISO SQL standards. MySQL Server has many extensions to the SQL standard, and here you can find out what they are and how to use them. You can also find information about functionality missing from MySQL Server, and how to work around some of the differences.
The SQL standard has been evolving since 1986 and several versions exist. In this manual, “SQL-92” refers to the standard released in 1992, “SQL:1999” refers to the standard released in 1999, “SQL:2003” refers to the standard released in 2003, and “SQL:2008” refers to the most recent version of the standard, released in 2008. We use the phrase “the SQL standard” or “standard SQL” to mean the current version of the SQL Standard at any time.
      One of our main goals with the product is to continue to work
      toward compliance with the SQL standard, but without sacrificing
      speed or reliability. We are not afraid to add extensions to SQL
      or support for non-SQL features if this greatly increases the
      usability of MySQL Server for a large segment of our user base.
      The HANDLER interface is an example
      of this strategy. See Section 12.2.4, “HANDLER Syntax”.
    
We continue to support transactional and nontransactional databases to satisfy both mission-critical 24/7 usage and heavy Web or logging usage.
MySQL Server was originally designed to work with medium-sized databases (10-100 million rows, or about 100MB per table) on small computer systems. Today MySQL Server handles terabyte-sized databases, but the code can also be compiled in a reduced version suitable for hand-held and embedded devices. The compact design of the MySQL server makes development in both directions possible without any conflicts in the source tree.
Currently, we are not targeting real-time support, although MySQL replication capabilities offer significant functionality.
      MySQL supports high-availability database clustering using the
      NDBCLUSTER storage engine. See
      MySQL Cluster NDB 6.X/7.X.
    
We are implementing XML functionality beginning in MySQL 5.1, which supports most of the W3C XPath standard. We plan to increase support for XML as part of future MySQL development. See Section 11.11, “XML Functions”.
Our aim is to support the full ANSI/ISO SQL standard, but without making concessions to speed and quality of the code.
ODBC levels 0 to 3.51.
The MySQL server can operate in different SQL modes, and can apply these modes differentially for different clients. This capability enables each application to tailor the server's operating mode to its own requirements.
SQL modes control aspects of server operation such as what SQL syntax MySQL should support and what kind of data validation checks it should perform. This makes it easier to use MySQL in different environments and to use MySQL together with other database servers.
        You can set the default SQL mode by starting
        mysqld with the
        --sql-mode="
        option. You can also change the mode at runtime by setting the
        mode_value"sql_mode system variable with a
        SET [GLOBAL|SESSION]
        sql_mode='
        statement.
      mode_value'
For more information on setting the SQL mode, see Section 5.1.7, “Server SQL Modes”.
        You can tell mysqld to run in ANSI mode with
        the --ansi startup option.
        Running the server in ANSI mode is the same as starting it with
        the following options:
      
--transaction-isolation=SERIALIZABLE --sql-mode=ANSI
You can achieve the same effect at runtime by executing these two statements:
SET GLOBAL TRANSACTION ISOLATION LEVEL SERIALIZABLE; SET GLOBAL sql_mode = 'ANSI';
        You can see that setting the
        sql_mode system variable to
        'ANSI' enables all SQL mode options that are
        relevant for ANSI mode as follows:
      
mysql>SET GLOBAL sql_mode='ANSI';mysql>SELECT @@global.sql_mode;-> 'REAL_AS_FLOAT,PIPES_AS_CONCAT,ANSI_QUOTES,IGNORE_SPACE,ANSI'
        Running the server in ANSI mode with
        --ansi is not quite the same as
        setting the SQL mode to 'ANSI'. The
        --ansi option affects the SQL
        mode and also sets the transaction isolation level. Setting the
        SQL mode to 'ANSI' has no effect on the
        isolation level.
      
See Section 5.1.2, “Server Command Options”, and Section 1.8.2, “Selecting SQL Modes”.
MySQL Server supports some extensions that you probably won't find in other SQL DBMSs. Be warned that if you use them, your code won't 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 following form:
/*! MySQL-specific code */
        In this case, MySQL Server parses and executes the code within
        the comment as it would any other SQL statement, but other SQL
        servers will ignore the extensions. For example, MySQL Server
        recognizes the STRAIGHT_JOIN keyword in the
        following statement, but other servers will not:
      
SELECT /*! STRAIGHT_JOIN */ col1 FROM table1,table2 WHERE ...
        If you add a version number after the
        “!” character, the syntax within
        the comment is executed only if the MySQL version is greater
        than or equal to the specified version number. The
        TEMPORARY keyword in the following comment is
        executed only by servers from MySQL 3.23.02 or higher:
      
CREATE /*!32302 TEMPORARY */ TABLE t (a INT);
The following descriptions list MySQL extensions, organized by category.
Organization of data on disk
MySQL Server maps each database to a directory under the MySQL data directory, and maps tables within a database to file names in the database directory. This has a few implications:
Database and table names are case sensitive in MySQL Server on operating systems that have case-sensitive file names (such as most Unix systems). See Section 8.2.2, “Identifier Case Sensitivity”.
                You can use standard system commands to back up, rename,
                move, delete, and copy tables that are managed by the
                MyISAM storage engine. For example,
                it is possible to rename a MyISAM
                table by renaming the .MYD,
                .MYI, and .frm
                files to which the table corresponds. (Nevertheless, it
                is preferable to use RENAME
                TABLE or ALTER TABLE ...
                RENAME and let the server rename the files.)
              
General language syntax
                By default, strings can be enclosed by either
                “"” or
                “'”, not just by
                “'”. (If the
                ANSI_QUOTES SQL mode
                is enabled, strings can be enclosed only by
                “'” and the server
                interprets strings enclosed by
                “"” as identifiers.)
              
                “\” is the escape
                character in strings.
              
                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 Server doesn't
                support tablespaces such as used in statements like
                this: CREATE TABLE ralph.my_table ... IN
                my_tablespace.
              
SQL statement syntax
                The ANALYZE TABLE,
                CHECK TABLE,
                OPTIMIZE TABLE, and
                REPAIR TABLE statements.
              
                The CREATE DATABASE,
                DROP DATABASE, and
                ALTER DATABASE
                statements. See Section 12.1.8, “CREATE DATABASE Syntax”,
                Section 12.1.17, “DROP DATABASE Syntax”, and
                Section 12.1.1, “ALTER DATABASE Syntax”.
              
                The DO statement.
              
                EXPLAIN
                SELECT to obtain a description of how tables
                are processed by the query optimizer.
              
                The
                SET
                statement. See Section 12.4.4, “SET Syntax”.
              
                The SHOW statement. See
                Section 12.4.5, “SHOW Syntax”. The information produced by many
                of the MySQL-specific
                SHOW statements can be
                obtained in more standard fashion by using
                SELECT to query
                INFORMATION_SCHEMA. See
                Chapter 19, INFORMATION_SCHEMA Tables.
              
                
                
                Use of LOAD
                DATA INFILE. In many cases, this syntax is
                compatible with Oracle's
                LOAD DATA
                INFILE. See Section 12.2.6, “LOAD DATA INFILE
      Syntax”.
              
                Use of RENAME TABLE. See
                Section 12.1.26, “RENAME TABLE Syntax”.
              
                Use of REPLACE instead of
                DELETE plus
                INSERT. See
                Section 12.2.8, “REPLACE Syntax”.
              
                Use of CHANGE
                ,
                col_nameDROP
                , or
                col_nameDROP INDEX,
                IGNORE or RENAME
                in ALTER TABLE
                statements. Use of multiple ADD,
                ALTER, DROP, or
                CHANGE clauses in an
                ALTER TABLE statement.
                See Section 12.1.6, “ALTER TABLE Syntax”.
              
                Use of index names, indexes on a prefix of a column, and
                use of INDEX or
                KEY in CREATE
                TABLE statements. See
                Section 12.1.14, “CREATE TABLE Syntax”.
              
                Use of TEMPORARY or IF NOT
                EXISTS with CREATE
                TABLE.
              
                Use of IF EXISTS with
                DROP TABLE and
                DROP DATABASE.
              
                The capability of dropping multiple tables with a single
                DROP TABLE statement.
              
                The ORDER BY and
                LIMIT clauses of the
                UPDATE and
                DELETE statements.
              
                INSERT INTO 
                syntax.
              tbl_name
                SET col_name = ...
                The LOW_PRIORITY clause of the
                INSERT,
                REPLACE,
                DELETE, and
                UPDATE statements.
              
                Use of INTO OUTFILE or INTO
                DUMPFILE in
                SELECT statements. See
                Section 12.2.9, “SELECT Syntax”.
              
                Options such as STRAIGHT_JOIN or
                SQL_SMALL_RESULT in
                SELECT statements.
              
                You don't need to name all selected columns in the
                GROUP BY clause. This gives better
                performance for some very specific, but quite normal
                queries. See
                Section 11.16, “Functions and Modifiers for Use with GROUP BY Clauses”.
              
                You can specify ASC and
                DESC with GROUP
                BY, not just with ORDER BY.
              
                The ability to set variables in a statement with the
                := assignment operator:
              
mysql>SELECT @a:=SUM(total),@b:=COUNT(*),@a/@b AS avg->FROM test_table;mysql>SELECT @t1:=(@t2:=1)+@t3:=4,@t1,@t2,@t3;
Data types
Functions and operators
To make it easier for users who migrate from other SQL environments, MySQL Server supports aliases for many functions. For example, all string functions support both standard SQL syntax and ODBC syntax.
                MySQL Server understands the
                || and
                &&
                operators to mean logical OR and AND, as in the C
                programming language. In MySQL Server,
                || and
                OR are
                synonyms, as are
                &&
                and AND.
                Because of this nice syntax, MySQL Server doesn't
                support the standard SQL
                || operator
                for string concatenation; use
                CONCAT() instead. Because
                CONCAT() takes any number
                of arguments, it is easy to convert use of the
                || operator
                to MySQL Server.
              
                Use of COUNT(DISTINCT
                 where
                value_list)value_list has more than one
                element.
              
                String comparisons are case-insensitive by default, with
                sort ordering determined by the collation of the current
                character set, which is latin1
                (cp1252 West European) 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 using the underlying character code values
                rather then a lexical ordering.
              
                
                
                The %
                operator is a synonym for
                MOD(). That is,
                N %
                MMOD(.
                N,M)% is
                supported for C programmers and for compatibility with
                PostgreSQL.
              
                The =,
                <>,
                <=,
                <,
                >=,
                >,
                <<,
                >>,
                <=>,
                AND,
                OR, or
                LIKE
                operators may be used in expressions in the output
                column list (to the left of the FROM)
                in SELECT statements. For
                example:
              
mysql> SELECT col1=1 AND col2=2 FROM my_table;
                The LAST_INSERT_ID()
                function returns the most recent
                AUTO_INCREMENT value. See
                Section 11.14, “Information Functions”.
              
                LIKE is permitted on
                numeric values.
              
                The REGEXP and
                NOT REGEXP extended regular
                expression operators.
              
                CONCAT() or
                CHAR() with one argument
                or more than two arguments. (In MySQL Server, these
                functions can take a variable number of arguments.)
              
                The BIT_COUNT(),
                CASE,
                ELT(),
                FROM_DAYS(),
                FORMAT(),
                IF(),
                PASSWORD(),
                ENCRYPT(),
                MD5(),
                ENCODE(),
                DECODE(),
                PERIOD_ADD(),
                PERIOD_DIFF(),
                TO_DAYS(), and
                WEEKDAY() functions.
              
                Use of TRIM() to trim
                substrings. Standard SQL supports removal of single
                characters only.
              
                The GROUP BY functions
                STD(),
                BIT_OR(),
                BIT_AND(),
                BIT_XOR(), and
                GROUP_CONCAT(). See
                Section 11.16, “Functions and Modifiers for Use with GROUP BY Clauses”.
              
We try to make MySQL Server follow the ANSI SQL standard and the ODBC SQL standard, but MySQL Server performs operations differently in some cases:
            There are several differences between the MySQL and standard
            SQL privilege systems. For example, in MySQL, privileges for
            a table are not automatically revoked when you delete a
            table. You must explicitly issue a
            REVOKE statement to revoke
            privileges for a table. For more information, see
            Section 12.4.1.5, “REVOKE Syntax”.
          
            The CAST() function does not
            support cast to REAL or
            BIGINT. See
            Section 11.10, “Cast Functions and Operators”.
          
          MySQL Server doesn't support the SELECT ... INTO
          TABLE Sybase SQL extension. Instead, MySQL Server
          supports the
          INSERT INTO ...
          SELECT standard SQL syntax, which is basically the
          same thing. See Section 12.2.5.1, “INSERT ...
        SELECT Syntax”. For example:
        
INSERT INTO tbl_temp2 (fld_id)
    SELECT tbl_temp1.fld_order_id
    FROM tbl_temp1 WHERE tbl_temp1.fld_order_id > 100;
          Alternatively, you can use
          SELECT ... INTO
          OUTFILE or
          CREATE TABLE ...
          SELECT.
        
          You can use SELECT ...
          INTO with user-defined variables. The same syntax
          can also be used inside stored routines using cursors and
          local variables. See Section 12.7.3.3, “SELECT ... INTO
        Statement”.
        
          If you access a column from the table to be updated in an
          expression, UPDATE uses the
          current value of the column. The second assignment in the
          following statement sets col2 to the
          current (updated) col1 value, not the
          original col1 value. The result is that
          col1 and col2 have the
          same value. This behavior differs from standard SQL.
        
UPDATE t1 SET col1 = col1 + 1, col2 = col1;
          MySQL Server (version 3.23-max and all versions 4.0 and above)
          supports transactions with the InnoDB
          transactional storage engine. InnoDB
          provides full ACID compliance. See
          Chapter 13, Storage Engines. For information about
          InnoDB differences from standard SQL with
          regard to treatment of transaction errors, see
          Section 13.6.12, “InnoDB Error Handling”.
        
          The other nontransactional storage engines in MySQL Server
          (such as MyISAM) follow a different
          paradigm for data integrity called “atomic
          operations.” In transactional terms,
          MyISAM tables effectively always operate in
          autocommit = 1 mode. Atomic
          operations often offer comparable integrity with higher
          performance.
        
Because MySQL Server supports both paradigms, you can decide whether your applications are best served by the speed of atomic operations or the use of transactional features. This choice can be made on a per-table basis.
          As noted, the tradeoff for transactional versus
          nontransactional storage engines lies mostly in performance.
          Transactional tables have significantly higher memory and disk
          space requirements, and more CPU overhead. On the other hand,
          transactional storage engines such as
          InnoDB also offer many significant
          features. MySQL Server's modular design enables the concurrent
          use of different storage engines to suit different
          requirements and deliver optimum performance in all
          situations.
        
          But how do you use the features of MySQL Server to maintain
          rigorous integrity even with the nontransactional
          MyISAM tables, and how do these features
          compare with the transactional storage engines?
        
              If your applications are written in a way that is
              dependent on being able to call
              ROLLBACK
              rather than COMMIT in
              critical situations, transactions are more convenient.
              Transactions also 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.
            
If you use nontransactional tables, MySQL Server in almost all cases enables you to resolve 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 an inconsistency occurs. You can normally fix tables perfectly with no data integrity loss just by using the MySQL log or even adding one extra log.
              More often than not, critical transactional updates can be
              rewritten to be atomic. Generally speaking, all integrity
              problems that transactions solve can be done with
              LOCK TABLES or atomic
              updates, ensuring that there are no automatic aborts from
              the server, which is a common problem with transactional
              database systems.
            
To be safe with MySQL Server, regardless of whether you use transactional tables, you only need to have backups and have binary logging turned on. When that is true, you can recover from any situation that you could with any other transactional database system. It is always good to have backups, regardless of which database system you use.
The transactional paradigm has its advantages and disadvantages. Many users and application developers depend on the ease with which they can code around problems where an abort appears to be necessary, or is necessary. However, even if you are new to the atomic operations paradigm, or more familiar with transactions, do consider the speed benefit that nontransactional tables can offer on the order of three to five times the speed of the fastest and most optimally tuned transactional tables.
          In situations where integrity is of highest importance, MySQL
          Server offers transaction-level reliability and integrity even
          for nontransactional tables. If you lock tables with
          LOCK TABLES, all updates stall
          until integrity checks are made. If you obtain a READ
          LOCAL lock (as opposed to a write lock) for a table
          that enables concurrent inserts at the end of the table, reads
          are permitted, as are inserts by other clients. The newly
          inserted records are not be seen by the client that has the
          read lock until it releases the lock. With
          INSERT DELAYED, you can write
          inserts that go into a local queue until the locks are
          released, without having the client wait for the insert to
          complete. See Section 7.10.3, “Concurrent Inserts”, and
          Section 12.2.5.2, “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 can never be an automatic rollback (which can happen with transactional tables if you are not very careful). MySQL Server also guarantees that there are no dirty reads.
Following are some techniques for working with nontransactional tables:
              Loops that need transactions normally can be coded with
              the help of LOCK TABLES,
              and you don't need cursors to update records on the fly.
            
              To avoid using
              ROLLBACK,
              you can employ the following strategy:
            
                  Use LOCK TABLES to lock
                  all the tables you want to access.
                
Test the conditions that must be true before performing the update.
Update if the conditions are satisfied.
                  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 that case, all locks are 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 columns relative to their current value.
Update only those columns that actually have changed.
              For example, when we are updating customer information, we
              update only the customer data that has changed and test
              only that none of the changed data, or data that depends
              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 has been changed
              by another user.” Then we show the old row versus
              the new row in a window so that the user can decide which
              version of the customer record to 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+125;
UPDATE customer
  SET
    customer_date='current_date',
    address='new address',
    phone='new phone',
    money_owed_to_us=money_owed_to_us-125
  WHERE
    customer_id=id AND address='old address' AND phone='old phone';
              This is very efficient and works even if another client
              has changed the values in the pay_back
              or money_owed_to_us columns.
            
              
              
              In many cases, users have wanted LOCK
              TABLES or
              ROLLBACK
              for the purpose of managing unique identifiers. This can
              be handled much more efficiently without locking or
              rolling back by using an AUTO_INCREMENT
              column and either the
              LAST_INSERT_ID() SQL
              function or the
              mysql_insert_id() C API
              function. See Section 11.14, “Information Functions”, and
              Section 21.9.3.37, “mysql_insert_id()”.
            
              You can generally code around the need for row-level
              locking. Some situations really do need it, and
              InnoDB tables support row-level
              locking. Otherwise, with MyISAM tables,
              you can use a flag column in the table and do something
              like the following:
            
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 1 in
              the original row. You can think of this as though MySQL
              Server changed the preceding statement to:
            
UPDATE tbl_name SET row_flag=1 WHERE id=ID AND row_flag <> 1;
          The InnoDB storage engine supports checking
          of foreign key constraints, including
          CASCADE, ON DELETE, and
          ON UPDATE. See
          Section 13.6.4.4, “FOREIGN KEY Constraints”.
        
          For storage engines other than InnoDB,
          MySQL Server parses the FOREIGN KEY syntax
          in CREATE TABLE statements, but
          does not use or store it. In the future, the implementation
          will be extended to store this information in the table
          specification file so that it may be retrieved by
          mysqldump and ODBC. At a later stage,
          foreign key constraints will be implemented for
          MyISAM tables as well.
        
Foreign key enforcement offers several benefits to database developers:
Assuming proper design of the relationships, foreign key constraints make it more difficult for a programmer to introduce an inconsistency into the database.
Centralized checking of constraints by the database server makes it unnecessary to perform these checks on the application side. This eliminates the possibility that different applications may not all check the constraints in the same way.
Using cascading updates and deletes can simplify the application code.
Properly designed foreign key rules aid in documenting relationships between tables.
Do keep in mind that these benefits come at the cost of additional overhead for the database server to perform the necessary checks. Additional checking by the server affects performance, which for some applications may be sufficiently undesirable as to be avoided if possible. (Some major commercial applications have coded the foreign key logic at the application level for this reason.)
          MySQL gives database developers the choice of which approach
          to use. If you don't need foreign keys and want to avoid the
          overhead associated with enforcing referential integrity, you
          can choose another storage engine instead, such as
          MyISAM. (For example, the
          MyISAM storage engine offers very fast
          performance for applications that perform only
          INSERT and
          SELECT operations. In this
          case, the table has no holes in the middle and the inserts can
          be performed concurrently with retrievals. See
          Section 7.10.3, “Concurrent Inserts”.)
        
If you choose not to take advantage of referential integrity checks, keep the following considerations in mind:
In the absence of server-side foreign key relationship checking, the application itself must handle relationship issues. For example, it must take care to insert rows into tables in the proper order, and to avoid creating orphaned child records. It must also be able to recover from errors that occur in the middle of multiple-record insert operations.
              If ON DELETE is the only referential
              integrity capability an application needs, you can achieve
              a similar effect as of MySQL Server 4.0 by using
              multiple-table DELETE
              statements to delete rows from many tables with a single
              statement. See Section 12.2.2, “DELETE Syntax”.
            
              A workaround for the lack of ON DELETE
              is to add the appropriate
              DELETE statements to your
              application when you delete records from a table that has
              a foreign key. In practice, this is often as quick as
              using foreign keys and is more portable.
            
Be aware that the use of foreign keys can sometimes lead to problems:
Foreign key support addresses many referential integrity issues, but it is still necessary to design key relationships carefully to avoid circular rules or incorrect combinations of cascading deletes.
              It is not uncommon for a DBA to create a topology of
              relationships that makes it difficult to restore
              individual tables from a backup. (MySQL alleviates this
              difficulty by enabling you to temporarily disable foreign
              key checks when reloading a table that depends on other
              tables. See
              Section 13.6.4.4, “FOREIGN KEY Constraints”. As of
              MySQL 4.1.1, mysqldump generates dump
              files that take advantage of this capability automatically
              when they are reloaded.)
            
          Foreign keys in SQL are used to check and enforce referential
          integrity, not to join tables. If you want to get results from
          multiple tables from a SELECT
          statement, you do this by performing a join between them:
        
SELECT * FROM t1 INNER JOIN t2 ON t1.id = t2.id;
          See Section 12.2.9.1, “JOIN Syntax”, and
          Section 3.6.6, “Using Foreign Keys”.
        
          The FOREIGN KEY syntax without ON
          DELETE ... is often used by ODBC applications to
          produce automatic WHERE clauses.
        
          Standard SQL uses the C syntax /* this is a comment
          */ for comments, and MySQL Server supports this
          syntax as well. MySQL also support extensions to this syntax
          that enable MySQL-specific SQL to be embedded in the comment,
          as described in Section 8.6, “Comment Syntax”.
        
          Standard SQL uses “--” as a
          start-comment sequence. MySQL Server uses
          “#” as the start comment
          character. MySQL Server 3.23.3 and up also supports a variant
          of the “--” comment style.
          That is, the “--”
          start-comment sequence must be followed by a space (or by a
          control character such as a newline). The space is required to
          prevent problems with automatically generated SQL queries that
          use constructs such as the following, where we automatically
          insert the value of the payment for
          payment:
        
UPDATE account SET credit=credit-payment
          Consider about what happens if payment has
          a negative value such as -1:
        
UPDATE account SET credit=credit--1
          credit--1 is a legal expression in SQL, but
          “--” is interpreted as the
          start of a comment, part of the expression is discarded. The
          result is a statement that has a completely different meaning
          than intended:
        
UPDATE account SET credit=credit
          The statement produces no change in value at all. This
          illustrates that permitting comments to start with
          “--” can have serious
          consequences.
        
          Using our implementation requires a space following the
          “--” for it to be recognized
          as a start-comment sequence in MySQL Server 3.23.3 and newer.
          Therefore, credit--1 is safe to use.
        
          Another safe feature is that the mysql
          command-line client ignores lines that start with
          “--”.
        
The following information is relevant only if you are running a MySQL version earlier than 3.23.3:
          If you have an SQL script in a text file that contains
          “--” comments, you should use
          the replace utility as follows to convert
          the comments to use “#”
          characters before executing the script:
        
shell>replace " --" " #" < text-file-with-funny-comments.sql \| mysqldb_name
That is safer than executing the script in the usual way:
shell> mysql db_name < text-file-with-funny-comments.sql
          You can also edit the script file “in place” to
          change the “--” comments to
          “#” comments:
        
shell> replace " --" " #" -- text-file-with-funny-comments.sql
Change them back with this command:
shell> replace " #" " --" -- text-file-with-funny-comments.sql
See Section 4.8.2, “replace — A String-Replacement Utility”.
MySQL enables you to work both with transactional tables that permit rollback and with nontransactional tables that do not. Because of this, constraint handling is a bit different in MySQL than in other DBMSs. We must handle the case when you have inserted or updated a lot of rows in a nontransactional table for which changes cannot be rolled back when an error occurs.
The basic philosophy is that MySQL Server tries to produce an error for anything that it can detect while parsing a statement to be executed, and tries to recover from any errors that occur while executing the statement. We do this in most cases, but not yet for all.
The options MySQL has when an error occurs are to stop the statement in the middle or to recover as well as possible from the problem and continue. By default, the server follows the latter course. This means, for example, that the server may coerce illegal values to the closest legal values.
Several SQL mode options are available to provide greater control over handling of bad data values and whether to continue statement execution or abort when errors occur. Using these options, you can configure MySQL Server to act in a more traditional fashion that is like other DBMSs that reject improper input. The SQL mode can be set globally at server startup to affect all clients. Individual clients can set the SQL mode at runtime, which enables each client to select the behavior most appropriate for its requirements. See Section 5.1.7, “Server SQL Modes”.
The following sections describe how MySQL Server handles different types of constraints.
          Normally, errors occurs for data-change statements (such as
          INSERT or
          UPDATE) that would violate
          primary-key, unique-key, or foreign-key constraints. If you
          are using a transactional storage engine such as
          InnoDB, MySQL automatically rolls back the
          statement. If you are using a nontransactional storage engine,
          MySQL stops processing the statement at the row for which the
          error occurred and leaves any remaining rows unprocessed.
        
          MySQL supports an IGNORE keyword for
          INSERT,
          UPDATE, and so forth. If you
          use it, MySQL ignores primary-key or unique-key violations and
          continues processing with the next row. See the section for
          the statement that you are using (Section 12.2.5, “INSERT Syntax”,
          Section 12.2.12, “UPDATE Syntax”, and so forth).
        
          You can get information about the number of rows actually
          inserted or updated with the
          mysql_info() C API function.
          You can also use the SHOW
          WARNINGS statement. See
          Section 21.9.3.35, “mysql_info()”, and
          Section 12.4.5.41, “SHOW WARNINGS Syntax”.
        
          Currently, only InnoDB tables support
          foreign keys. See
          Section 13.6.4.4, “FOREIGN KEY Constraints”.
        
By default, MySQL is forgiving of illegal or improper data values and coerces them to legal values for data entry. However, you can change the server SQL mode to select more traditional treatment of bad values such that the server rejects them and aborts the statement in which they occur. See Section 5.1.7, “Server SQL Modes”.
This section describes the default (forgiving) behavior of MySQL, as well as the strict SQL mode and how it differs.
          If you are not using strict mode, then whenever you insert an
          “incorrect” value into a column, such as a
          NULL into a NOT NULL
          column or a too-large numeric value into a numeric column,
          MySQL sets the column to the “best possible
          value” instead of producing an error: The following
          rules describe in more detail how this works:
        
If you try to store an out of range value into a numeric column, MySQL Server instead stores zero, the smallest possible value, or the largest possible value, whichever is closest to the invalid value.
For strings, MySQL stores either the empty string or as much of the string as can be stored in the column.
If you try to store a string that doesn't start with a number into a numeric column, MySQL Server stores 0.
              Invalid values for ENUM and
              SET columns are handled as
              described in Section 1.8.6.3, “ENUM and
          SET Constraints”.
            
              MySQL enables you to store certain incorrect date values
              into DATE and
              DATETIME columns (such as
              '2000-02-31' or
              '2000-02-00'). The idea is that it is
              not the job of the SQL server to validate dates. If MySQL
              can store a date value and retrieve exactly the same
              value, MySQL stores it as given. If the date is totally
              wrong (outside the server's ability to store it), the
              special “zero” date value
              '0000-00-00' is stored in the column
              instead.
            
              If you try to store NULL into a column
              that doesn't take NULL values, an error
              occurs for single-row
              INSERT statements. For
              multiple-row INSERT
              statements or for
              INSERT INTO
              ... SELECT statements, MySQL Server stores the
              implicit default value for the column data type. In
              general, this is 0 for numeric types,
              the empty string ('') for string types,
              and the “zero” value for date and time types.
              Implicit default values are discussed in
              Section 10.1.4, “Data Type Default Values”.
            
              If an INSERT statement
              specifies no value for a column, MySQL inserts its default
              value if the column definition includes an explicit
              DEFAULT clause. If the definition has
              no such DEFAULT clause, MySQL inserts
              the implicit default value for the column data type.
            
The reason for using the preceding rules in nonstrict mode is that we can't check these conditions until the statement has begun executing. We can't just roll back if we encounter a problem after updating a few rows, because the storage engine may not support rollback. The option of terminating the statement is not that good; in this case, the update would be “half done,” which is probably the worst possible scenario. In this case, it is better to “do the best you can” and then continue as if nothing happened.
          In MySQL 5.0.2 and up, you can select stricter treatment of
          input values by using the
          STRICT_TRANS_TABLES or
          STRICT_ALL_TABLES SQL modes:
        
SET sql_mode = 'STRICT_TRANS_TABLES'; SET sql_mode = 'STRICT_ALL_TABLES';
          STRICT_TRANS_TABLES enables
          strict mode for transactional storage engines, and also to
          some extent for nontransactional engines. It works like this:
        
For transactional storage engines, bad data values occurring anywhere in a statement cause the statement to abort and roll back.
              For nontransactional storage engines, a statement aborts
              if the error occurs in the first row to be inserted or
              updated. (When the error occurs in the first row, the
              statement can be aborted to leave the table unchanged,
              just as for a transactional table.) Errors in rows after
              the first do not abort the statement, because the table
              has already been changed by the first row. Instead, bad
              data values are adjusted and result in warnings rather
              than errors. In other words, with
              STRICT_TRANS_TABLES, a
              wrong value causes MySQL to roll back all updates done so
              far, if that can be done without changing the table. But
              once the table has been changed, further errors result in
              adjustments and warnings.
            
          For even stricter checking, enable
          STRICT_ALL_TABLES. This is
          the same as
          STRICT_TRANS_TABLES except
          that for nontransactional storage engines, errors abort the
          statement even for bad data in rows following the first row.
          This means that if an error occurs partway through a
          multiple-row insert or update for a nontransactional table, a
          partial update results. Earlier rows are inserted or updated,
          but those from the point of the error on are not. To avoid
          this for nontransactional tables, either use single-row
          statements or else use
          STRICT_TRANS_TABLES if
          conversion warnings rather than errors are acceptable. To
          avoid problems in the first place, do not use MySQL to check
          column content. It is safest (and often faster) to let the
          application ensure that it passes only legal values to the
          database.
        
          With either of the strict mode options, you can cause errors
          to be treated as warnings by using
          INSERT
          IGNORE or UPDATE IGNORE rather
          than INSERT or
          UPDATE without
          IGNORE.
        
          ENUM and
          SET columns provide an
          efficient way to define columns that can contain only a given
          set of values. See Section 10.4.4, “The ENUM Type”, and
          Section 10.4.5, “The SET Type”. However, before MySQL 5.0.2,
          ENUM and
          SET columns do not provide true
          constraints on entry of invalid data:
        
              ENUM columns always have a
              default value. If you specify no default value, then it is
              NULL for columns that can have
              NULL, otherwise it is the first
              enumeration value in the column definition.
            
              If you insert an incorrect value into an
              ENUM column or if you force
              a value into an ENUM column
              with IGNORE, it is set to the reserved
              enumeration value of 0, which is
              displayed as an empty string in string context.
            
              If you insert an incorrect value into a
              SET column, the incorrect
              value is ignored. For example, if the column can contain
              the values 'a', 'b',
              and 'c', an attempt to assign
              'a,x,b,y' results in a value of
              'a,b'.
            
          As of MySQL 5.0.2, you can configure the server to use strict
          SQL mode. See Section 5.1.7, “Server SQL Modes”. With strict
          mode enabled, the definition of a
          ENUM or
          SET column does act as a
          constraint on values entered into the column. An error occurs
          for values that do not satisfy these conditions:
        
              An ENUM value must be one
              of those listed in the column definition, or the internal
              numeric equivalent thereof. The value cannot be the error
              value (that is, 0 or the empty string). For a column
              defined as
              ENUM('a','b','c'), values
              such as '', 'd', or
              'ax' are illegal and are rejected.
            
              A SET value must be the
              empty string or a value consisting only of the values
              listed in the column definition separated by commas. For a
              column defined as
              SET('a','b','c'), values
              such as 'd' or
              'a,b,c,d' are illegal and are rejected.
            
          Errors for invalid values can be suppressed in strict mode if
          you use INSERT
          IGNORE or UPDATE IGNORE. In this
          case, a warning is generated rather than an error. For
          ENUM, the value is inserted as
          the error member (0). For
          SET, the value is inserted as
          given except that any invalid substrings are deleted. For
          example, 'a,x,b,y' results in a value of
          'a,b'.
        
The following sections list developers, contributors, and supporters that have helped to make MySQL what it is today.
      Although Oracle Corporation and/or its affiliates own all
      copyrights in the MySQL server and the
      MySQL manual, we wish to recognize those who
      have made contributions of one kind or another to the
      MySQL distribution. Contributors are listed
      here, in somewhat random order:
    
          Gianmassimo Vigazzola <qwerg@mbox.vol.it> or
          <qwerg@tin.it>
        
The initial port to Win32/NT.
Per Eric Olsson
For constructive criticism and real testing of the dynamic record format.
          Irena Pancirov <irena@mail.yacc.it>
        
          Win32 port with Borland compiler.
          mysqlshutdown.exe and
          mysqlwatch.exe.
        
David J. Hughes
          For the effort to make a shareware SQL database. At TcX, the
          predecessor of MySQL AB, we started with
          mSQL, but found that it couldn't satisfy
          our purposes so instead we wrote an SQL interface to our
          application builder Unireg. mysqladmin and
          mysql client are programs that were largely
          influenced by their mSQL counterparts. We
          have put a lot of effort into making the MySQL syntax a
          superset of mSQL. Many of the API's ideas
          are borrowed from mSQL to make it easy to
          port free mSQL programs to the MySQL API.
          The MySQL software doesn't contain any code from
          mSQL. Two files in the distribution
          (client/insert_test.c and
          client/select_test.c) are based on the
          corresponding (noncopyrighted) files in the
          mSQL distribution, but are modified as
          examples showing the changes necessary to convert code from
          mSQL to MySQL Server.
          (mSQL is copyrighted David J. Hughes.)
        
Patrick Lynch
For helping us acquire http://www.mysql.com/.
Fred Lindberg
For setting up qmail to handle the MySQL mailing list and for the incredible help we got in managing the MySQL mailing lists.
          Igor Romanenko <igor@frog.kiev.ua>
        
          mysqldump (previously
          msqldump, but ported and enhanced by
          Monty).
        
Yuri Dario
For keeping up and extending the MySQL OS/2 port.
Tim Bunce
Author of mysqlhotcopy.
          Zarko Mocnik <zarko.mocnik@dem.si>
        
Sorting for Slovenian language.
          "TAMITO" <tommy@valley.ne.jp>
        
          The _MB character set macros and the ujis
          and sjis character sets.
        
          Joshua Chamas <joshua@chamas.com>
        
Base for concurrent insert, extended date syntax, debugging on NT, and answering on the MySQL mailing list.
          Yves Carlier <Yves.Carlier@rug.ac.be>
        
mysqlaccess, a program to show the access rights for a user.
          Rhys Jones <rhys@wales.com> (And GWE Technologies
          Limited)
        
For one of the early JDBC drivers.
          Dr Xiaokun Kelvin ZHU <X.Zhu@brad.ac.uk>
        
Further development of one of the early JDBC drivers and other MySQL-related Java tools.
          James Cooper <pixel@organic.com>
        
For setting up a searchable mailing list archive at his site.
          Rick Mehalick <Rick_Mehalick@i-o.com>
        
          For xmysql, a graphical X client for MySQL
          Server.
        
          Doug Sisk <sisk@wix.com>
        
For providing RPM packages of MySQL for Red Hat Linux.
          Diemand Alexander V. <axeld@vial.ethz.ch>
        
For providing RPM packages of MySQL for Red Hat Linux-Alpha.
          Antoni Pamies Olive <toni@readysoft.es>
        
For providing RPM versions of a lot of MySQL clients for Intel and SPARC.
          Jay Bloodworth <jay@pathways.sde.state.sc.us>
        
For providing RPM versions for MySQL 3.21.
          David Sacerdote <davids@secnet.com>
        
Ideas for secure checking of DNS host names.
          Wei-Jou Chen <jou@nematic.ieo.nctu.edu.tw>
        
Some support for Chinese(BIG5) characters.
          Wei He <hewei@mail.ied.ac.cn>
        
A lot of functionality for the Chinese(GBK) character set.
          Jan Pazdziora <adelton@fi.muni.cz>
        
Czech sorting order.
          Zeev Suraski <bourbon@netvision.net.il>
        
          FROM_UNIXTIME() time
          formatting, ENCRYPT()
          functions, and bison advisor. Active
          mailing list member.
        
          Luuk de Boer <luuk@wxs.nl>
        
          Ported (and extended) the benchmark suite to
          DBI/DBD. Have been of
          great help with crash-me and running
          benchmarks. Some new date functions. The
          mysql_setpermission script.
        
          Alexis Mikhailov <root@medinf.chuvashia.su>
        
          User-defined functions (UDFs); CREATE
          FUNCTION and DROP
          FUNCTION.
        
          Andreas F. Bobak <bobak@relog.ch>
        
          The AGGREGATE extension to user-defined
          functions.
        
          Ross Wakelin <R.Wakelin@march.co.uk>
        
Help to set up InstallShield for MySQL-Win32.
          Jethro Wright III <jetman@li.net>
        
          The libmysql.dll library.
        
          James Pereria <jpereira@iafrica.com>
        
Mysqlmanager, a Win32 GUI tool for administering MySQL Servers.
          Curt Sampson <cjs@portal.ca>
        
Porting of MIT-pthreads to NetBSD/Alpha and NetBSD 1.3/i386.
          Martin Ramsch <m.ramsch@computer.org>
        
Examples in the MySQL Tutorial.
Steve Harvey
For making mysqlaccess more secure.
Konark IA-64 Centre of Persistent Systems Private Limited
http://www.pspl.co.in/konark/. Help with the Win64 port of the MySQL server.
Albert Chin-A-Young.
Configure updates for Tru64, large file support and better TCP wrappers support.
John Birrell
          Emulation of pthread_mutex() for OS/2.
        
Benjamin Pflugmann
          Extended MERGE tables to handle
          INSERTS. Active member on the MySQL mailing
          lists.
        
Jocelyn Fournier
Excellent spotting and reporting innumerable bugs (especially in the MySQL 4.1 subquery code).
Marc Liyanage
Maintaining the Mac OS X packages and providing invaluable feedback on how to create Mac OS X packages.
Robert Rutherford
Providing invaluable information and feedback about the QNX port.
Previous developers of NDB Cluster
Lots of people were involved in various ways summer students, master thesis students, employees. In total more than 100 people so too many to mention here. Notable name is Ataullah Dabaghi who up until 1999 contributed around a third of the code base. A special thanks also to developers of the AXE system which provided much of the architectural foundations for NDB Cluster with blocks, signals and crash tracing functionality. Also credit should be given to those who believed in the ideas enough to allocate of their budgets for its development from 1992 to present time.
Google Inc.
We wish to recognize Google Inc. for contributions to the MySQL distribution: Mark Callaghan's SMP Performance patches and other patches.
      Other contributors, bugfinders, and testers: James H. Thompson,
      Maurizio Menghini, Wojciech Tryc, Luca Berra, Zarko Mocnik, Wim
      Bonis, Elmar Haneke, <jehamby@lightside>,
      <psmith@BayNetworks.com>,
      <duane@connect.com.au>, Ted Deppner
      <ted@psyber.com>, Mike Simons, Jaakko Hyvatti.
    
And lots of bug report/patches from the folks on the mailing list.
A big tribute goes to those that help us answer questions on the MySQL mailing lists:
          Daniel Koch <dkoch@amcity.com>
        
Irix setup.
          Luuk de Boer <luuk@wxs.nl>
        
Benchmark questions.
          Tim Sailer <tps@users.buoy.com>
        
          DBD::mysql questions.
        
          Boyd Lynn Gerber <gerberb@zenez.com>
        
SCO-related questions.
          Richard Mehalick <RM186061@shellus.com>
        
          xmysql-related questions and basic
          installation questions.
        
          Zeev Suraski <bourbon@netvision.net.il>
        
Apache module configuration questions (log & auth), PHP-related questions, SQL syntax-related questions and other general questions.
          Francesc Guasch <frankie@citel.upc.es>
        
General questions.
          Jonathan J Smith <jsmith@wtp.net>
        
Questions pertaining to OS-specifics with Linux, SQL syntax, and other things that might need some work.
          David Sklar <sklar@student.net>
        
Using MySQL from PHP and Perl.
          Alistair MacDonald <A.MacDonald@uel.ac.uk>
        
Is flexible and can handle Linux and perhaps HP-UX. Tries to get users to use mysqlbug.
          John Lyon <jlyon@imag.net>
        
          Questions about installing MySQL on Linux systems, using
          either .rpm files or compiling from
          source.
        
          Lorvid Ltd. <lorvid@WOLFENET.com>
        
Simple billing/license/support/copyright issues.
          Patrick Sherrill <patrick@coconet.com>
        
ODBC and VisualC++ interface questions.
          Randy Harmon <rjharmon@uptimecomputers.com>
        
          DBD, Linux, some SQL syntax questions.
        
The following people have helped us with writing the MySQL documentation and translating the documentation or error messages in MySQL.
Paul DuBois
Ongoing help with making this manual correct and understandable. That includes rewriting Monty's and David's attempts at English into English as other people know it.
Kim Aldale
Helped to rewrite Monty's and David's early attempts at English into English.
          Michael J. Miller Jr.
          <mke@terrapin.turbolift.com>
        
For the first MySQL manual. And a lot of spelling/language fixes for the FAQ (that turned into the MySQL manual a long time ago).
Yan Cailin
First translator of the MySQL Reference Manual into simplified Chinese in early 2000 on which the Big5 and HK coded (http://mysql.hitstar.com/) versions were based. Personal home page at linuxdb.yeah.net.
          Jay Flaherty <fty@mediapulse.com>
        
          Big parts of the Perl
          DBI/DBD section in the
          manual.
        
          Paul Southworth <pauls@etext.org>, Ray Loyzaga
          <yar@cs.su.oz.au>
        
Proof-reading of the Reference Manual.
          Therrien Gilbert <gilbert@ican.net>, Jean-Marc
          Pouyot <jmp@scalaire.fr>
        
French error messages.
          Petr Snajdr, <snajdr@pvt.net>
        
Czech error messages.
          Jaroslaw Lewandowski <jotel@itnet.com.pl>
        
Polish error messages.
Miguel Angel Fernandez Roiz
Spanish error messages.
          Roy-Magne Mo <rmo@www.hivolda.no>
        
Norwegian error messages and testing of MySQL 3.21.xx.
          Timur I. Bakeyev <root@timur.tatarstan.ru>
        
Russian error messages.
          <brenno@dewinter.com> & Filippo Grassilli
          <phil@hyppo.com>
        
Italian error messages.
          Dirk Munzinger <dirk@trinity.saar.de>
        
German error messages.
          Billik Stefan <billik@sun.uniag.sk>
        
Slovak error messages.
          Stefan Saroiu <tzoompy@cs.washington.edu>
        
Romanian error messages.
Peter Feher
Hungarian error messages.
Roberto M. Serqueira
Portuguese error messages.
Carsten H. Pedersen
Danish error messages.
Arjen Lentz
Dutch error messages, completing earlier partial translation (also work on consistency and spelling).
The following is a list of creators/maintainers of some of the most important API/packages/applications that a lot of people use with MySQL.
We cannot list every possible package here because the list would then be way to hard to maintain. For other packages, please refer to the software portal at http://solutions.mysql.com/software/.
Tim Bunce, Alligator Descartes
          For the DBD (Perl) interface.
        
          Andreas Koenig <a.koenig@mind.de>
        
For the Perl interface for MySQL Server.
          Jochen Wiedmann <wiedmann@neckar-alb.de>
        
          For maintaining the Perl DBD::mysql module.
        
          Eugene Chan <eugene@acenet.com.sg>
        
For porting PHP for MySQL Server.
Georg Richter
          MySQL 4.1 testing and bug hunting. New PHP 5.0
          mysqli extension (API) for use with MySQL
          4.1 and up.
        
          Giovanni Maruzzelli <maruzz@matrice.it>
        
For porting iODBC (Unix ODBC).
          Xavier Leroy <Xavier.Leroy@inria.fr>
        
The author of LinuxThreads (used by the MySQL Server on Linux).
The following is a list of some of the tools we have used to create MySQL. We use this to express our thanks to those that has created them as without these we could not have made MySQL what it is today.
Free Software Foundation
          From whom we got an excellent compiler
          (gcc), an excellent debugger
          (gdb and the libc
          library (from which we have borrowed
          strto.c to get some code working in
          Linux).
        
Free Software Foundation & The XEmacs development team
For a really great editor/environment.
Julian Seward
          Author of valgrind, an excellent memory
          checker tool that has helped us find a lot of otherwise hard
          to find bugs in MySQL.
        
Dorothea Lütkehaus and Andreas Zeller
          For DDD (The Data Display Debugger) which
          is an excellent graphical front end to
          gdb).
        
      Although Oracle Corporation and/or its affiliates own all
      copyrights in the MySQL server and the
      MySQL manual, we wish to recognize the
      following companies, which helped us finance the development of
      the MySQL server, such as by paying us for
      developing a new feature or giving us hardware for development of
      the MySQL server.
    
VA Linux / Andover.net
Funded replication.
NuSphere
Editing of the MySQL manual.
Stork Design studio
The MySQL Web site in use between 1998-2000.
Intel
Contributed to development on Windows and Linux platforms.
Compaq
Contributed to Development on Linux/Alpha.
SWSoft
Development on the embedded mysqld version.
FutureQuest
          The --skip-show-database
          option.