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MySQL has a very complex, but intuitive and easy to learn SQL interface. This chapter describes the various commands, types, and functions you will need to know in order to use MySQL efficiently and effectively. This chapter also serves as a reference to all functionality included in MySQL. In order to use this chapter effectively, you may find it useful to refer to the various indexes.
6.1.1.1 Strings | ||
6.1.1.2 Numbers | ||
6.1.1.3 Hexadecimal Values | ||
6.1.1.4 NULL Values |
This section describes the various ways to write strings and numbers in MySQL. It also covers the various nuances and "gotchas" that you may run into when dealing with these basic types in MySQL.
A string is a sequence of characters, surrounded by either single quote (`'') or double quote (`"') characters (only the single quote if you run in ANSI mode). Examples:
'a string' "another string" |
Within a string, certain sequences have special meaning. Each of these sequences begins with a backslash (`\'), known as the escape character. MySQL recognises the following escape sequences:
\0
An ASCII 0 (NUL
) character.
\'
A single quote (`'') character.
\"
A double quote (`"') character.
\b
A backspace character.
\n
A newline character.
\r
A carriage return character.
\t
A tab character.
\z
ASCII(26) (Control-Z). This character can be encoded to allow you to
work around the problem that ASCII(26) stands for END-OF-FILE on Windows.
(ASCII(26) will cause problems if you try to use
mysql database < filename
.)
\\
A backslash (`\') character.
\%
A `%' character. This is used to search for literal instances of `%' in contexts where `%' would otherwise be interpreted as a wildcard character. See section String Comparison Functions.
\_
A `_' character. This is used to search for literal instances of `_' in contexts where `_' would otherwise be interpreted as a wildcard character. See section String Comparison Functions.
Note that if you use `\%' or `\_' in some string contexts, these will return the strings `\%' and `\_' and not `%' and `_'.
There are several ways to include quotes within a string:
The SELECT
statements shown here demonstrate how quoting and
escaping work:
mysql> SELECT 'hello', '"hello"', '""hello""', 'hel''lo', '\'hello'; +-------+---------+-----------+--------+--------+ | hello | "hello" | ""hello"" | hel'lo | 'hello | +-------+---------+-----------+--------+--------+ mysql> SELECT "hello", "'hello'", "''hello''", "hel""lo", "\"hello"; +-------+---------+-----------+--------+--------+ | hello | 'hello' | ''hello'' | hel"lo | "hello | +-------+---------+-----------+--------+--------+ mysql> SELECT "This\nIs\nFour\nlines"; +--------------------+ | This Is Four lines | +--------------------+ |
If you want to insert binary data into a string column (such as a
BLOB
), the following characters must be represented by escape
sequences:
NUL
ASCII 0. You should represent this by `\0' (a backslash and an ASCII `0' character).
\
ASCII 92, backslash. Represent this by `\\'.
'
ASCII 39, single quote. Represent this by `\''.
"
ASCII 34, double quote. Represent this by `\"'.
If you write C code, you can use the C API function
mysql_real_escape_string()
to escape characters for the INSERT
statement. See section C API Function Overview. In Perl, you can use the
quote
method of the DBI
package to convert special
characters to the proper escape sequences. See section Perl DBI
Class.
You should use an escape function on any string that might contain any of the special characters listed above!
Alternatively, many MySQL APIs provide some sort of placeholder capability that allows you to insert special markers into a query string, and then bind data values to them when you issue the query. In this case, the API takes case of escaping special characters in the values for you automatically.
Integers are represented as a sequence of digits. Floats use `.' as a decimal separator. Either type of number may be preceded by `-' to indicate a negative value.
Examples of valid integers:
1221 0 -32 |
Examples of valid floating-point numbers:
294.42 -32032.6809e+10 148.00 |
An integer may be used in a floating-point context; it is interpreted as the equivalent floating-point number.
From version 4.1.0, the constant TRUE
evaluates to 1
and
the constant FALSE
evaluates to 0
.
MySQL supports hexadecimal values. In numeric context these act like an integer (64-bit precision). In string context these act like a binary string where each pair of hex digits is converted to a character:
mysql> SELECT x'4D7953514C'; -> MySQL mysql> SELECT 0xa+0; -> 10 mysql> SELECT 0x5061756c; -> Paul |
In MySQL 4.1 (and in MySQL 4.0 when using the --new
option) the
default type of of a hexadecimal value is a string. If you want to be
sure that the string is threated as a number, you can use
CAST( ... AS UNSIGNED)
on the hexadecimal value.
The x'hexstring'
syntax (new in 4.0) is based on standard SQL and the
0x
syntax is based on ODBC. Hexadecimal strings are often used by
ODBC to supply values for BLOB
columns.
You can convert a string or a number to string in hexadecimal format with
the HEX()
function.
NULL
Values The NULL
value means "no data" and is different from values such
as 0
for numeric types or the empty string for string types.
See section Problems with NULL
.
NULL
may be represented by \N
when using the text file import
or export formats (LOAD DATA INFILE
, SELECT ... INTO OUTFILE
).
See section LOAD DATA
.
Database, table, index, column, and alias names all follow the same rules in MySQL.
Note that the rules changed starting with MySQL Version 3.23.6 when we introduced quoting of identifiers (database, table, and column names) with ``'. `"' will also work to quote identifiers if you run in ANSI mode. See section Running MySQL in ANSI Mode.
Identifier | Max length | Allowed characters |
Database | 64 | Any character that is allowed in a directory name except `/', `\' or `.'. |
Table | 64 | Any character that is allowed in a file name, except `/' or `.'. |
Column | 64 | All characters. |
Alias | 255 | All characters. |
Note that in addition to the above, you can't have ASCII(0) or ASCII(255) or the quoting character in an identifier.
Note that if the identifier is a restricted word or contains special characters
you must always quote it with a `
(backtick) when you use it:
mysql> SELECT * FROM `select` WHERE `select`.id > 100; |
See section Is MySQL Picky About Reserved Words?.
In MySQL versions prior to 3.23.6, the name rules are as follows:
--default-character-set
option
to mysqld
.
See section The Character Set Used for Data and Sorting.
It is recommended that you do not use names like 1e
, because
an expression like 1e+1
is ambiguous. It may be interpreted as the
expression 1e + 1
or as the number 1e+1
.
In MySQL you can refer to a column using any of the following forms:
Column reference | Meaning |
| Column |
| Column |
| Column |
| A column that is a keyword or contains special characters. |
You need not specify a tbl_name
or db_name.tbl_name
prefix for
a column reference in a statement unless the reference would be ambiguous.
For example, suppose tables t1
and t2
each contain a column
c
, and you retrieve c
in a SELECT
statement that uses
both t1
and t2
. In this case, c
is ambiguous because it
is not unique among the tables used in the statement, so you must indicate
which table you mean by writing t1.c
or t2.c
. Similarly, if
you are retrieving from a table t
in database db1
and from a
table t
in database db2
, you must refer to columns in those
tables as db1.t.col_name
and db2.t.col_name
.
The syntax .tbl_name
means the table tbl_name
in the current
database. This syntax is accepted for ODBC compatibility, because some ODBC
programs prefix table names with a `.' character.
In MySQL, databases and tables correspond to directories and files within those directories. Consequently, the case-sensitivity of the underlying operating system determines the case-sensitivity of database and table names. This means database and table names are case-insensitive in Windows, and case-sensitive in most varieties of Unix. One prominent exception here is Mac OS X, when the default HFS+ file system is being used. However Mac OS X also supports UFS volumes, those are case sensitive on Mac OS X just like they are on any Unix. See section MySQL Extensions To The SQL-92 Standard.
Note: although database and table names are case-insensitive for
Windows, you should not refer to a given database or table using different
cases within the same query. The following query would not work because it
refers to a table both as my_table
and as MY_TABLE
:
mysql> SELECT * FROM my_table WHERE MY_TABLE.col=1; |
Column names and column aliases are case-insensitive in all cases.
Aliases on tables are case-sensitive. The following query would not work
because it refers to the alias both as a
and as A
:
mysql> SELECT col_name FROM tbl_name AS a -> WHERE a.col_name = 1 OR A.col_name = 2; |
If you have trouble remembering the lettercase for database and table names, adopt a consistent convention, such as always creating databases and tables using lowercase names.
One way to avoid this problem is to start mysqld
with -O
lower_case_table_names=1
. By default this option is 1 on Windows and 0 on
Unix.
If lower_case_table_names
is 1 MySQL will convert all
table names to lowercase on storage and lookup.
(From version 4.0.2, this option also applies to database names. From
4.1.1 this also applies for table alias).
Note that if you change this option, you need to first convert your old
table names to lower case before starting mysqld
.
If you move MyISAM
files from a Windows to a Unix disk, you may
in some cases need to use the `mysql_fix_extensions' tool to fix-up
the case of the file extensions in each specified database directory
(lowercase `.frm', uppercase `.MYI' and `.MYD').
`mysql_fix_extensions' can be found in the `scripts' subdirectory.
MySQL supports connection-specific user variables with the
@variablename
syntax. A variable name may consist of
alphanumeric characters from the current character set and also
`_', `$', and `.' . The default character set is
ISO-8859-1 Latin1; this may be changed with the
--default-character-set
option to mysqld
. See section The Character Set Used for Data and Sorting. User variable names are case insensitive in versions >= 5.0, case
sensitive in versions < 5.0.
Variables don't have to be initialised. They contain NULL
by default
and can store an integer, real, or string value. All variables for
a thread are automatically freed when the thread exits.
You can set a variable with the SET
syntax:
SET @variable= { integer expression | real expression | string expression } [,@variable= ...]. |
You can also assign a value to a variable in statements other than SET
.
However, in this case the assignment operator is :=
rather than
=
, because =
is reserved for comparisons in non-SET
statements:
mysql> SELECT @t1:=(@t2:=1)+@t3:=4,@t1,@t2,@t3; +----------------------+------+------+------+ | @t1:=(@t2:=1)+@t3:=4 | @t1 | @t2 | @t3 | +----------------------+------+------+------+ | 5 | 5 | 1 | 4 | +----------------------+------+------+------+ |
User variables may be used where expressions are allowed. Note that
this does not currently include contexts where a number is explicitly
required, such as in the LIMIT
clause of a SELECT
statement,
or the IGNORE number LINES
clause of a LOAD DATA
statement.
Note: in a SELECT
statement, each expression is evaluated
only when it's sent to the client. This means that in the HAVING
,
GROUP BY
, or ORDER BY
clause, you can't refer to an expression
that involves variables that are set in the SELECT
part. For example,
the following statement will NOT work as expected:
mysql> SELECT (@aa:=id) AS a, (@aa+3) AS b FROM table_name HAVING b=5; |
The reason is that @aa
will not contain the value of the current
row, but the value of id
for the previous accepted row.
The rule is to never assign and use the same variable in the same statement.
Starting from MySQL 4.0.3 we provide better access to a lot of system and connection variables. One can change most of them without having to take down the server.
There are two kind of system variables: Thread-specific (or connection-specific) variables that are unique to the current connection and global variables that are used to configure global events. Global variables also are used to set up the initial values of the corresponding thread-specific variables for new connections.
When mysqld
starts, all global variables are initialised from command
line arguments and option files. You can change the value with the
SET GLOBAL
command. When a new thread is created, the thread-specific
variables are initialised from the global variables and they
will not change even if you issue a new SET GLOBAL
command.
To set the value for a GLOBAL
variable, you should use one
of the following syntaxes:
(Here we use sort_buffer_size
as an example variable)
SET GLOBAL sort_buffer_size=value; SET @@global.sort_buffer_size=value; |
To set the value for a SESSION
variable, you can use one of the
following syntaxes:
SET SESSION sort_buffer_size=value; SET @@session.sort_buffer_size=value; SET sort_buffer_size=value; |
If you don't specify GLOBAL
or SESSION
then SESSION
is used. See section SET
Syntax.
LOCAL
is a synonym for SESSION
.
To retrieve the value for a GLOBAL
variable you can use one of the
following commands:
SELECT @@global.sort_buffer_size; SHOW GLOBAL VARIABLES like 'sort_buffer_size'; |
To retrieve the value for a SESSION
variable you can use one of the
following commands:
SELECT @@session.sort_buffer_size; SHOW SESSION VARIABLES like 'sort_buffer_size'; |
When you retrieve a variable value with the
@@variable_name
syntax and you don't specify GLOBAL
or
SESSION
then MySQL will return the thread-specific
(SESSION
) value if it exists. If not, MySQL will return the
global value.
The reason for requiring GLOBAL
for setting GLOBAL
only
variables but not for retrieving them is to ensure that we don't later
run into problems if we later would introduce a thread-specific variable
with the same name or remove a thread-specific variable. In this case,
you could accidentally change the state for the server as a whole, rather than
just for your own connection.
The following is a full list of all variables that you change and retrieve
and if you can use GLOBAL
or SESSION
with them.
Variable name | Value type | Type |
autocommit | bool | SESSION |
big_tables | bool | SESSION |
binlog_cache_size | num | GLOBAL |
bulk_insert_buffer_size | num | GLOBAL | SESSION |
concurrent_insert | bool | GLOBAL |
connect_timeout | num | GLOBAL |
convert_character_set | string | SESSION |
delay_key_write | OFF | ON | ALL | GLOBAL |
delayed_insert_limit | num | GLOBAL |
delayed_insert_timeout | num | GLOBAL |
delayed_queue_size | num | GLOBAL |
error_count | num | LOCAL |
flush | bool | GLOBAL |
flush_time | num | GLOBAL |
foreign_key_checks | bool | SESSION |
identity | num | SESSION |
insert_id | bool | SESSION |
interactive_timeout | num | GLOBAL | SESSION |
join_buffer_size | num | GLOBAL | SESSION |
key_buffer_size | num | GLOBAL |
last_insert_id | bool | SESSION |
local_infile | bool | GLOBAL |
log_warnings | bool | GLOBAL |
long_query_time | num | GLOBAL | SESSION |
low_priority_updates | bool | GLOBAL | SESSION |
max_allowed_packet | num | GLOBAL | SESSION |
max_binlog_cache_size | num | GLOBAL |
max_binlog_size | num | GLOBAL |
max_connect_errors | num | GLOBAL |
max_connections | num | GLOBAL |
max_error_count | num | GLOBAL | SESSION |
max_delayed_threads | num | GLOBAL |
max_heap_table_size | num | GLOBAL | SESSION |
max_join_size | num | GLOBAL | SESSION |
max_relay_log_size | num | GLOBAL |
max_sort_length | num | GLOBAL | SESSION |
max_tmp_tables | num | GLOBAL |
max_user_connections | num | GLOBAL |
max_write_lock_count | num | GLOBAL |
myisam_max_extra_sort_file_size | num | GLOBAL | SESSION |
myisam_repair_threads | num | GLOBAL | SESSION |
myisam_max_sort_file_size | num | GLOBAL | SESSION |
myisam_sort_buffer_size | num | GLOBAL | SESSION |
net_buffer_length | num | GLOBAL | SESSION |
net_read_timeout | num | GLOBAL | SESSION |
net_retry_count | num | GLOBAL | SESSION |
net_write_timeout | num | GLOBAL | SESSION |
query_cache_limit | num | GLOBAL |
query_cache_size | num | GLOBAL |
query_cache_type | enum | GLOBAL |
read_buffer_size | num | GLOBAL | SESSION |
read_rnd_buffer_size | num | GLOBAL | SESSION |
rpl_recovery_rank | num | GLOBAL |
safe_show_database | bool | GLOBAL |
server_id | num | GLOBAL |
slave_compressed_protocol | bool | GLOBAL |
slave_net_timeout | num | GLOBAL |
slow_launch_time | num | GLOBAL |
sort_buffer_size | num | GLOBAL | SESSION |
sql_auto_is_null | bool | SESSION |
sql_big_selects | bool | SESSION |
sql_big_tables | bool | SESSION |
sql_buffer_result | bool | SESSION |
sql_log_binlog | bool | SESSION |
sql_log_off | bool | SESSION |
sql_log_update | bool | SESSION |
sql_low_priority_updates | bool | GLOBAL | SESSION |
sql_max_join_size | num | GLOBAL | SESSION |
sql_quote_show_create | bool | SESSION |
sql_safe_updates | bool | SESSION |
sql_select_limit | bool | SESSION |
sql_slave_skip_counter | num | GLOBAL |
sql_warnings | bool | SESSION |
table_cache | num | GLOBAL |
table_type | enum | GLOBAL | SESSION |
thread_cache_size | num | GLOBAL |
timestamp | bool | SESSION |
tmp_table_size | enum | GLOBAL | SESSION |
tx_isolation | enum | GLOBAL | SESSION |
wait_timeout | num | GLOBAL | SESSION |
warning_count | num | LOCAL |
unique_checks | bool | SESSION |
Variables that are marked with num
can be given a numerical
value. Variables that are marked with bool
can be set to 0, 1,
ON
or OFF
. Variables that are of type enum
should
normally be set to one of the available values for the variable, but can
also be set to the number that correspond to the enum value. (The first
enum value is 0).
Here is a description of some of the variables:
Variable | Description |
identity | Alias for last_insert_id (Sybase compatiblity) |
sql_low_priority_updates | Alias for low_priority_updates |
sql_max_join_size | Alias for max_join_size |
version | Alias for VERSION() (Sybase (?) compatability) |
A description of the other variable definitions can be found in the
startup options section, the description of SHOW VARIABLES
and in
the SET
section. See section mysqld
Command-line Options. See section SHOW VARIABLES
. See section SET
Syntax.
The MySQL server supports the # to end of line
, --
to end of line
and /* in-line or multiple-line */
comment
styles:
mysql> SELECT 1+1; # This comment continues to the end of line mysql> SELECT 1+1; -- This comment continues to the end of line mysql> SELECT 1 /* this is an in-line comment */ + 1; mysql> SELECT 1+ /* this is a multiple-line comment */ 1; |
Note that the --
(double-dash) comment style requires you to have at
least one space after the second dash!
Although the server understands the comment syntax just described,
there are some limitations on the way that the mysql
client
parses /* ... */
comments:
mysql
interactively, you can tell that it
has gotten confused like this because the prompt changes from mysql>
to '>
or ">
.
These limitations apply both when you run mysql
interactively
and when you put commands in a file and tell mysql
to read its
input from that file with mysql < some-file
.
MySQL supports the `--' SQL-99 comment style only if the second dash is followed by a space. See section `--' as the Start of a Comment.
A common problem stems from trying to create a table with column names that
use the names of datatypes or functions built into MySQL, such as
TIMESTAMP
or GROUP
. You're allowed to do it (for example,
ABS
is allowed as a column name). However, by default, in function
invocations no whitespace is allowed between the function name and the
following `(' character, so that a function call can be distinguished from
a reference to a column name.
If you start the server with the --ansi
or
--sql-mode=IGNORE_SPACE
option, the server allows function invocations
to have whitespace between a function name and the following `('
character. This causes function names to be treated as reserved words; as a
result, column names that are the same as function names must be quoted as
described in Database, Table, Index, Column, and Alias Names.
The following words are explicitly reserved in MySQL. Most of
them are forbidden by SQL-92 as column and/or table names
(for example, GROUP
).
A few are reserved because MySQL needs them and is
(currently) using a yacc
parser:
Word | Word | Word |
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The following symbols (from the table above) are disallowed by SQL-99 but allowed by MySQL as column/table names. This is because some of these names are very natural names and a lot of people have already used them.
ACTION
BIT
DATE
ENUM
NO
TEXT
TIME
TIMESTAMP
MySQL supports a number of column types, which may be grouped into three categories: numeric types, date and time types, and string (character) types. This section first gives an overview of the types available and summarises the storage requirements for each column type, then provides a more detailed description of the properties of the types in each category. The overview is intentionally brief. The more detailed descriptions should be consulted for additional information about particular column types, such as the allowable formats in which you can specify values.
The column types supported by MySQL are listed below. The following code letters are used in the descriptions:
M
Indicates the maximum display size. The maximum legal display size is 255.
D
Applies to floating-point types and indicates the number of digits
following the decimal point. The maximum possible value is 30, but
should be no greater than M
-2.
Square brackets (`[' and `]') indicate parts of type specifiers that are optional.
Note that if you specify ZEROFILL
for a column, MySQL will
automatically add the UNSIGNED
attribute to the column.
Warning: you should be aware that when you use subtraction
between integer values where one is of type UNSIGNED
, the result
will be unsigned! See section Cast Functions.
TINYINT[(M)] [UNSIGNED] [ZEROFILL]
A very small integer. The signed range is -128
to 127
. The
unsigned range is 0
to 255
.
BIT
BOOL
BOOLEAN
In version 4.0 and earlier, these are synonyms for TINYINT(1)
.
From version 4.1.0, the storage requirement is a single bit (plus the
usual requirement for NULL
if the column is not specified as
NOT NULL
).
The BOOLEAN
synonym was added in version 4.1.0
Full boolean type handling will be introduced in accordance with SQL-99.
SMALLINT[(M)] [UNSIGNED] [ZEROFILL]
A small integer. The signed range is -32768
to 32767
. The
unsigned range is 0
to 65535
.
MEDIUMINT[(M)] [UNSIGNED] [ZEROFILL]
A medium-size integer. The signed range is -8388608
to
8388607
. The unsigned range is 0
to 16777215
.
INT[(M)] [UNSIGNED] [ZEROFILL]
A normal-size integer. The signed range is -2147483648
to
2147483647
. The unsigned range is 0
to 4294967295
.
INTEGER[(M)] [UNSIGNED] [ZEROFILL]
This is a synonym for INT
.
BIGINT[(M)] [UNSIGNED] [ZEROFILL]
A large integer. The signed range is -9223372036854775808
to
9223372036854775807
. The unsigned range is 0
to
18446744073709551615
.
Some things you should be aware of with respect to BIGINT
columns:
BIGINT
or DOUBLE
values, so you shouldn't use unsigned big integers larger than
9223372036854775807
(63 bits) except with bit functions! If you
do that, some of the last digits in the result may be wrong because of
rounding errors when converting the BIGINT
to a DOUBLE
.
MySQL 4.0 can handle BIGINT
in the following cases:
BIGINT
column.
MIN(big_int_column)
and MAX(big_int_column)
.
+
, -
, *
, etc.) where
both operands are integers.
BIGINT
column by
storing it as a string. In this case, MySQL will perform a string-to-number
conversion that involves no intermediate double representation.
BIGINT
arithmetic when
both arguments are integer values! This means that if you
multiply two big integers (or results from functions that return
integers) you may get unexpected results when the result is larger than
9223372036854775807
.
FLOAT(precision) [UNSIGNED] [ZEROFILL]
A floating-point number. precision
can be
<=24
for a single-precision floating-point number and between 25
and 53 for a double-precision floating-point number. These types are like
the FLOAT
and DOUBLE
types described immediately below.
FLOAT(X)
has the same range as the corresponding FLOAT
and
DOUBLE
types, but the display size and number of decimals are undefined.
In MySQL Version 3.23, this is a true floating-point value. In
earlier MySQL versions, FLOAT(precision)
always has 2 decimals.
Note that using FLOAT
may give you some unexpected problems as
all calculations in MySQL are done with double precision.
See section Solving Problems with No Matching Rows.
This syntax is provided for ODBC compatibility.
FLOAT[(M,D)] [UNSIGNED] [ZEROFILL]
A small (single-precision) floating-point number. Allowable values are
-3.402823466E+38
to -1.175494351E-38
, 0
,
and 1.175494351E-38
to 3.402823466E+38
. If
UNSIGNED
is specified, negative values are disallowed. The M
is the display width and D
is the number of decimals. FLOAT
without arguments or FLOAT(X)
where X
<= 24 stands for a
single-precision floating-point number.
DOUBLE[(M,D)] [UNSIGNED] [ZEROFILL]
A normal-size (double-precision) floating-point number.
Allowable values are -1.7976931348623157E+308
to
-2.2250738585072014E-308
, 0
, and
2.2250738585072014E-308
to 1.7976931348623157E+308
. If
UNSIGNED
is specified, negative values are disallowed. The
M
is the display width and D
is the number of decimals.
DOUBLE
without arguments or FLOAT(X)
where 25 <= X
<= 53 stands for a double-precision floating-point number.
DOUBLE PRECISION[(M,D)] [UNSIGNED] [ZEROFILL]
REAL[(M,D)] [UNSIGNED] [ZEROFILL]
These are synonyms for DOUBLE
.
DECIMAL[(M[,D])] [UNSIGNED] [ZEROFILL]
An unpacked floating-point number. Behaves like a
CHAR
column: "unpacked" means the number is stored as a string,
using one character for each digit of the value. The decimal point and,
for negative numbers, the `-' sign, are not counted in M
(but
space for these is reserved). If D
is 0, values will have no decimal
point or fractional part. The maximum range of DECIMAL
values is
the same as for DOUBLE
, but the actual range for a given
DECIMAL
column may be constrained by the choice of M
and
D
. If UNSIGNED
is specified, negative values are disallowed.
If D
is omitted, the default is 0. If M
is omitted, the
default is 10.
Prior to MySQL Version 3.23, the M
argument must include the space
needed for the sign and the decimal point.
DEC[(M[,D])] [UNSIGNED] [ZEROFILL]
NUMERIC[(M[,D])] [UNSIGNED] [ZEROFILL]
FIXED[(M[,D])] [UNSIGNED] [ZEROFILL]
These are synonyms for DECIMAL
.
The FIXED
alias was added in version 4.1.0 for compatibility
with other servers.
DATE
A date. The supported range is '1000-01-01'
to '9999-12-31'
.
MySQL displays DATE
values in 'YYYY-MM-DD'
format, but
allows you to assign values to DATE
columns using either strings or
numbers. See section The DATETIME
, DATE
, and TIMESTAMP
Types.
DATETIME
A date and time combination. The supported range is '1000-01-01
00:00:00'
to '9999-12-31 23:59:59'
. MySQL displays
DATETIME
values in 'YYYY-MM-DD HH:MM:SS'
format, but allows you
to assign values to DATETIME
columns using either strings or numbers.
See section The DATETIME
, DATE
, and TIMESTAMP
Types.
TIMESTAMP[(M)]
A timestamp. The range is '1970-01-01 00:00:00'
to sometime in the
year 2037
.
In MySQL 4.0 and earlier, TIMESTAMP
values are displayed in
YYYYMMDDHHMMSS
, YYMMDDHHMMSS
, YYYYMMDD
, or YYMMDD
format, depending on whether M
is 14
(or missing), 12
,
8
, or 6
, but allows you to assign values to TIMESTAMP
columns using either strings or numbers.
From MySQL 4.1, TIMESTAMP
is returned as a string with the format
'YYYY-MM-DD HH:MM:SS'
. If you want to have this as a number you
should add +0 to the timestamp column. Different timestamp lengths are
not supported. From version 4.0.12, the --new
option can be used
to make the server behave as in version 4.1.
A TIMESTAMP
column is useful
for recording the date and time of an INSERT
or UPDATE
operation because it is automatically set to the date and time of the most
recent operation if you don't give it a value yourself. You can also set it
to the current date and time by assigning it a NULL
value.
See section Date and Time Types.
The M
argument affects only how a TIMESTAMP
column is displayed;
its values always are stored using 4 bytes each.
Note that TIMESTAMP(M)
columns where M
is 8 or 14 are reported to
be numbers while other TIMESTAMP(M)
columns are reported to be
strings. This is just to ensure that one can reliably dump and restore
the table with these types!
See section DATETIME
.
TIME
A time. The range is '-838:59:59'
to '838:59:59'
.
MySQL displays TIME
values in 'HH:MM:SS'
format, but
allows you to assign values to TIME
columns using either strings or
numbers. See section TIME
.
YEAR[(2|4)]
A year in 2- or 4-digit format (default is 4-digit). The allowable values
are 1901
to 2155
, 0000
in the 4-digit year format,
and 1970-2069 if you use the 2-digit format (70-69). MySQL displays
YEAR
values in YYYY
format, but allows you to assign values to
YEAR
columns using either strings or numbers. (The YEAR
type is
unavailable prior to MySQL Version 3.22.) See section YEAR
.
[NATIONAL] CHAR(M) [BINARY]
A fixed-length string that is always right-padded with spaces to the
specified length when stored. The range of M
is 0 to 255 characters
(1 to 255 prior to MySQL Version 3.23).
Trailing spaces are removed when the value is retrieved. CHAR
values
are sorted and compared in case-insensitive fashion according to the
default character set unless the BINARY
keyword is given.
From version 4.1.0, if the M
value specified is greater than 255,
the column type is converted to TEXT
.
This is a compatibility feature.
NATIONAL CHAR
(or its equivalent short form, NCHAR
) is the
SQL-99 way to define that a CHAR
column should use the default
CHARACTER set. This is the default in MySQL.
CHAR
is a shorthand for CHARACTER
.
MySQL allows you to create a column of type
CHAR(0)
. This is mainly useful when you have to be compliant with
some old applications that depend on the existence of a column but that do not
actually use the value. This is also quite nice when you need a
column that only can take 2 values: A CHAR(0)
, that is not defined
as NOT NULL
, will occupy only one bit and can take only 2 values:
NULL
or ""
. See section CHAR
.
CHAR
This is a synonym for CHAR(1)
.
[NATIONAL] VARCHAR(M) [BINARY]
A variable-length string. Note: trailing spaces are removed when
the value is stored (this differs from the SQL-99 specification). The range
of M
is 0 to 255 characters (1 to 255 prior to MySQL Version 4.0.2).
VARCHAR
values are sorted and compared in case-insensitive fashion
unless the BINARY
keyword is given. See section Silent Column Specification Changes.
From version 4.1.0, if the M
value specified is greater than 255,
the column type is converted to TEXT
.
This is a compatibility feature.
VARCHAR
is a shorthand for CHARACTER VARYING
.
See section The CHAR
and VARCHAR
Types.
TINYBLOB
TINYTEXT
A BLOB
or TEXT
column with a maximum length of 255 (2^8 - 1)
characters. See section Silent Column Specification Changes. See section The BLOB
and TEXT
Types.
BLOB
TEXT
A BLOB
or TEXT
column with a maximum length of 65535 (2^16 - 1)
characters. See section Silent Column Specification Changes. See section The BLOB
and TEXT
Types.
MEDIUMBLOB
MEDIUMTEXT
A BLOB
or TEXT
column with a maximum length of 16777215
(2^24 - 1) characters. See section Silent Column Specification Changes. See section The BLOB
and TEXT
Types.
LONGBLOB
LONGTEXT
A BLOB
or TEXT
column with a maximum length of 4294967295
or 4G (2^32 - 1) characters. See section Silent Column Specification Changes.
Upto MySQL version 3.23 the server/client protocol and MyISAM tables had
a limit of 16M per communication packet / table row, from version 4.x
the maximum allowed length of LONGTEXT
or LONGBLOB
columns
depends on the configured maximum packet size in the client/server
protocol and available memory. See section The BLOB
and TEXT
Types.
ENUM('value1','value2',...)
An enumeration. A string object that can have only one value, chosen
from the list of values 'value1'
, 'value2'
, ...
,
NULL
or the special ""
error value. An ENUM
can
have a maximum of 65535 distinct values. See section The ENUM
Type.
SET('value1','value2',...)
A set. A string object that can have zero or more values, each of which must
be chosen from the list of values 'value1'
, 'value2'
,
...
A SET
can have a maximum of 64 members. See section The SET
Type.
6.2.1 Numeric Types | ||
6.2.2 Date and Time Types | ||
6.2.3 String Types | ||
6.2.4 Choosing the Right Type for a Column | ||
6.2.5 Using Column Types from Other Database Engines | ||
6.2.6 Column Type Storage Requirements |
MySQL supports all of the SQL-92 numeric datatypes. These
types include the exact numeric datatypes (NUMERIC
,
DECIMAL
, INTEGER
, and SMALLINT
), as well as the
approximate numeric datatypes (FLOAT
, REAL
, and
DOUBLE PRECISION
). The keyword INT
is a synonym for
INTEGER
, and the keyword DEC
is a synonym for
DECIMAL
.
The NUMERIC
and DECIMAL
types are implemented as the same
type by MySQL, as permitted by the SQL-92 standard. They are
used for values for which it is important to preserve exact precision,
for example with monetary data. When declaring a column of one of these
types the precision and scale can be (and usually is) specified; for
example:
salary DECIMAL(5,2) |
In this example, 5
(precision
) represents the number of
significant decimal digits that will be stored for values, and 2
(scale
) represents the number of digits that will be stored
following the decimal point. In this case, therefore, the range of
values that can be stored in the salary
column is from
-99.99
to 99.99
.
(MySQL can actually store numbers up to 999.99
in this column
because it doesn't have to store the sign for positive numbers)
In SQL-92, the syntax DECIMAL(p)
is equivalent to
DECIMAL(p,0)
. Similarly, the syntax DECIMAL
is equivalent
to DECIMAL(p,0)
, where the implementation is allowed to decide
the value of p
. MySQL does not currently support either of these
variant forms of the DECIMAL
/NUMERIC
datatypes. This is
not generally a serious problem, as the principal benefits of these
types derive from the ability to control both precision and scale
explicitly.
DECIMAL
and NUMERIC
values are stored as strings, rather
than as binary floating-point numbers, in order to preserve the decimal
precision of those values. One character is used for each digit of the
value, the decimal point (if scale
> 0), and the `-' sign
(for negative numbers). If scale
is 0, DECIMAL
and
NUMERIC
values contain no decimal point or fractional part.
The maximum range of DECIMAL
and NUMERIC
values is the
same as for DOUBLE
, but the actual range for a given
DECIMAL
or NUMERIC
column can be constrained by the
precision
or scale
for a given column. When such a column
is assigned a value with more digits following the decimal point than
are allowed by the specified scale
, the value is rounded to that
scale
. When a DECIMAL
or NUMERIC
column is
assigned a value whose magnitude exceeds the range implied by the
specified (or defaulted) precision
and scale
,
MySQL stores the value representing the corresponding end
point of that range.
As an extension to the SQL-92 standard, MySQL also
supports the integer types TINYINT
, MEDIUMINT
, and
BIGINT
as listed in the tables above. Another extension is
supported by MySQL for optionally specifying the display width
of an integer value in parentheses following the base keyword for the
type (for example, INT(4)
). This optional width specification is
used to left-pad the display of values whose width is less than the
width specified for the column, but does not constrain the range of
values that can be stored in the column, nor the number of digits that
will be displayed for values whose width exceeds that specified for the
column. When used in conjunction with the optional extension attribute
ZEROFILL
, the default padding of spaces is replaced with zeroes.
For example, for a column declared as INT(5) ZEROFILL
, a value
of 4
is retrieved as 00004
. Note that if you store larger
values than the display width in an integer column, you may experience
problems when MySQL generates temporary tables for some
complicated joins, as in these cases MySQL trusts that the
data did fit into the original column width.
All integer types can have an optional (non-standard) attribute
UNSIGNED
. Unsigned values can be used when you want to allow
only positive numbers in a column and you need a little bigger numeric
range for the column.
As of MySQL 4.0.2, floating-point types also can be UNSIGNED
.
As with integer types, this attribute prevents negative values from
being stored in the column. Unlike the integer types, the upper range
of column values remains the same.
The FLOAT
type is used to represent approximate numeric datatypes.
The SQL-92 standard allows an optional specification of
the precision (but not the range of the exponent) in bits following the
keyword FLOAT
in parentheses. The MySQL implementation
also supports this optional precision specification. When the keyword
FLOAT
is used for a column type without a precision
specification, MySQL uses four bytes to store the values. A
variant syntax is also supported, with two numbers given in parentheses
following the FLOAT
keyword. With this option, the first number
continues to represent the storage requirements for the value in bytes,
and the second number specifies the number of digits to be stored and
displayed following the decimal point (as with DECIMAL
and
NUMERIC
). When MySQL is asked to store a number for
such a column with more decimal digits following the decimal point than
specified for the column, the value is rounded to eliminate the extra
digits when the value is stored.
The REAL
and DOUBLE PRECISION
types do not accept
precision specifications. As an extension to the SQL-92
standard, MySQL recognises DOUBLE
as a synonym for the
DOUBLE PRECISION
type. In contrast with the standard's
requirement that the precision for REAL
be smaller than that used
for DOUBLE PRECISION
, MySQL implements both as 8-byte
double-precision floating-point values (when not running in "ANSI mode").
For maximum portability, code requiring storage of approximate numeric
data values should use FLOAT
or DOUBLE PRECISION
with no
specification of precision or number of decimal points.
When asked to store a value in a numeric column that is outside the column type's allowable range, MySQL clips the value to the appropriate endpoint of the range and stores the resulting value instead.
For example, the range of an INT
column is -2147483648
to
2147483647
. If you try to insert -9999999999
into an
INT
column, the value is clipped to the lower endpoint of the range,
and -2147483648
is stored instead. Similarly, if you try to insert
9999999999
, 2147483647
is stored instead.
If the INT
column is UNSIGNED
, the size of the column's
range is the same but its endpoints shift up to 0
and 4294967295
.
If you try to store -9999999999
and 9999999999
,
the values stored in the column become 0
and 4294967296
.
Conversions that occur due to clipping are reported as "warnings" for
ALTER TABLE
, LOAD DATA INFILE
, UPDATE
, and
multi-row INSERT
statements.
Type | Bytes | From | To |
| 1 | -128 | 127 |
| 2 | -32768 | 32767 |
| 3 | -8388608 | 8388607 |
| 4 | -2147483648 | 2147483647 |
| 8 | -9223372036854775808 | 9223372036854775807 |
6.2.2.1 Y2K Issues and Date Types | ||
6.2.2.2 The DATETIME , DATE , and TIMESTAMP Types | ||
6.2.2.3 The TIME Type | ||
6.2.2.4 The YEAR Type |
The date and time types are DATETIME
, DATE
,
TIMESTAMP
, TIME
, and YEAR
. Each of these has a
range of legal values, as well as a "zero" value that is used when you
specify a really illegal value. Note that MySQL allows you to store
certain 'not strictly' legal date values, for example 1999-11-31
.
The reason for this is that we think it's the responsibility of the
application to handle date checking, not the SQL servers. To make the
date checking 'fast', MySQL only checks that the month is in
the range of 0-12 and the day is in the range of 0-31. The above ranges
are defined this way because MySQL allows you to store, in a
DATE
or DATETIME
column, dates where the day or month-day
is zero. This is extremely useful for applications that need to store
a birth-date for which you don't know the exact date. In this case you
simply store the date like 1999-00-00
or 1999-01-00
. (You
cannot expect to get a correct value from functions like DATE_SUB()
or DATE_ADD
for dates like these.)
Here are some general considerations to keep in mind when working with date and time types:
'98-09-04'
), rather than
in the month-day-year or day-month-year orders commonly used elsewhere (for
example, '09-04-98'
, '04-09-98'
).
TIME
values are clipped to
the appropriate endpoint of the TIME
range.) The following table
shows the format of the "zero" value for each type:
Column type | "Zero" value |
| |
| |
| |
| |
| |
'0'
or 0
, which are easier to write.
MyODBC
are converted
automatically to NULL
in MyODBC
Version 2.50.12 and above,
because ODBC can't handle such values.
MySQL itself is Y2K-safe (see section Year 2000 Compliance), but input values presented to MySQL may not be. Any input containing 2-digit year values is ambiguous, because the century is unknown. Such values must be interpreted into 4-digit form because MySQL stores years internally using four digits.
For DATETIME
, DATE
, TIMESTAMP
, and YEAR
types,
MySQL interprets dates with ambiguous year values using the
following rules:
00-69
are converted to 2000-2069
.
70-99
are converted to 1970-1999
.
Remember that these rules provide only reasonable guesses as to what your data mean. If the heuristics used by MySQL don't produce the correct values, you should provide unambiguous input containing 4-digit year values.
ORDER BY
will sort 2-digit YEAR/DATE/DATETIME
types properly.
Note also that some functions like MIN()
and MAX()
will convert a
TIMESTAMP/DATE
to a number. This means that a timestamp with a
2-digit year will not work properly with these functions. The fix in this
case is to convert the TIMESTAMP/DATE
to 4-digit year format or
use something like MIN(DATE_ADD(timestamp,INTERVAL 0 DAYS))
.
DATETIME
, DATE
, and TIMESTAMP
Types The DATETIME
, DATE
, and TIMESTAMP
types are related.
This section describes their characteristics, how they are similar, and how
they differ.
The DATETIME
type is used when you need values that contain both date
and time information. MySQL retrieves and displays DATETIME
values in 'YYYY-MM-DD HH:MM:SS'
format. The supported range is
'1000-01-01 00:00:00'
to '9999-12-31 23:59:59'
. ("Supported"
means that although earlier values might work, there is no guarantee that
they will.)
The DATE
type is used when you need only a date value, without a time
part. MySQL retrieves and displays DATE
values in
'YYYY-MM-DD'
format. The supported range is '1000-01-01'
to
'9999-12-31'
.
The TIMESTAMP
column type provides a type that you can use to
automatically mark INSERT
or UPDATE
operations with the current
date and time. If you have multiple TIMESTAMP
columns, only the first
one is updated automatically.
Automatic updating of the first TIMESTAMP
column occurs under any of
the following conditions:
INSERT
or
LOAD DATA INFILE
statement.
UPDATE
statement and some
other column changes value. (Note that an UPDATE
that sets a column
to the value it already has will not cause the TIMESTAMP
column to be
updated, because if you set a column to its current value, MySQL
ignores the update for efficiency.)
TIMESTAMP
column to NULL
.
TIMESTAMP
columns other than the first may also be set to the current
date and time. Just set the column to NULL
or to NOW()
.
You can set any TIMESTAMP
column to a value different from the current
date and time by setting it explicitly to the desired value. This is true
even for the first TIMESTAMP
column. You can use this property if,
for example, you want a TIMESTAMP
to be set to the current date and
time when you create a row, but not to be changed whenever the row is updated
later:
TIMESTAMP
column explicitly to its current value.
On the other hand, you may find it just as easy to use a DATETIME
column that you initialise to NOW()
when the row is created and
leave alone for subsequent updates.
TIMESTAMP
values may range from the beginning of 1970 to sometime in
the year 2037, with a resolution of one second. Values are displayed as
numbers.
The format in which MySQL retrieves and displays TIMESTAMP
values depends on the display size, as illustrated by the following table. The
`full' TIMESTAMP
format is 14 digits, but TIMESTAMP
columns may
be created with shorter display sizes:
Column type | Display format |
| |
| |
| |
| |
| |
| |
| |
All TIMESTAMP
columns have the same storage size, regardless of
display size. The most common display sizes are 6, 8, 12, and 14. You can
specify an arbitrary display size at table creation time, but values of 0 or
greater than 14 are coerced to 14. Odd-valued sizes in the range from 1 to
13 are coerced to the next higher even number.
Note: From version 4.1, TIMESTAMP
is returned as a string with
the format 'YYYY-MM-DD HH:MM:SS'
and different timestamp lengths are
no longer supported.
You can specify DATETIME
, DATE
, and TIMESTAMP
values using
any of a common set of formats:
'YYYY-MM-DD HH:MM:SS'
or 'YY-MM-DD
HH:MM:SS'
format. A "relaxed" syntax is allowed--any punctuation
character may be used as the delimiter between date parts or time parts.
For example, '98-12-31 11:30:45'
, '98.12.31 11+30+45'
,
'98/12/31 11*30*45'
, and '98@12@31 11^30^45'
are
equivalent.
'YYYY-MM-DD'
or 'YY-MM-DD'
format.
A "relaxed" syntax is allowed here, too. For example, '98-12-31'
,
'98.12.31'
, '98/12/31'
, and '98@12@31'
are
equivalent.
'YYYYMMDDHHMMSS'
or
'YYMMDDHHMMSS'
format, provided that the string makes sense as a
date. For example, '19970523091528'
and '970523091528'
are
interpreted as '1997-05-23 09:15:28'
, but '971122129015'
is
illegal (it has a nonsensical minute part) and becomes '0000-00-00
00:00:00'
.
'YYYYMMDD'
or 'YYMMDD'
format, provided that the string makes sense as a date. For example,
'19970523'
and '970523'
are interpreted as
'1997-05-23'
, but '971332'
is illegal (it has nonsensical month
and day parts) and becomes '0000-00-00'
.
YYYYMMDDHHMMSS
or YYMMDDHHMMSS
format, provided that the number makes sense as a date. For example,
19830905132800
and 830905132800
are interpreted as
'1983-09-05 13:28:00'
.
YYYYMMDD
or YYMMDD
format, provided that the number makes sense as a date. For example,
19830905
and 830905
are interpreted as '1983-09-05'
.
DATETIME
, DATE
, or TIMESTAMP
context, such as
NOW()
or CURRENT_DATE
.
Illegal DATETIME
, DATE
, or TIMESTAMP
values are converted
to the "zero" value of the appropriate type ('0000-00-00 00:00:00'
,
'0000-00-00'
, or 00000000000000
).
For values specified as strings that include date part delimiters, it is not
necessary to specify two digits for month or day values that are less than
10
. '1979-6-9'
is the same as '1979-06-09'
. Similarly,
for values specified as strings that include time part delimiters, it is not
necessary to specify two digits for hour, minute, or second values that are
less than 10
. '1979-10-30 1:2:3'
is the same as
'1979-10-30 01:02:03'
.
Values specified as numbers should be 6, 8, 12, or 14 digits long. If the
number is 8 or 14 digits long, it is assumed to be in YYYYMMDD
or
YYYYMMDDHHMMSS
format and that the year is given by the first 4
digits. If the number is 6 or 12 digits long, it is assumed to be in
YYMMDD
or YYMMDDHHMMSS
format and that the year is given by the
first 2 digits. Numbers that are not one of these lengths are interpreted
as though padded with leading zeros to the closest length.
Values specified as non-delimited strings are interpreted using their length
as given. If the string is 8 or 14 characters long, the year is assumed to
be given by the first 4 characters. Otherwise, the year is assumed to be
given by the first 2 characters. The string is interpreted from left to
right to find year, month, day, hour, minute, and second values, for as many
parts as are present in the string. This means you should not use strings
that have fewer than 6 characters. For example, if you specify '9903'
,
thinking that will represent March, 1999, you will find that MySQL
inserts a "zero" date into your table. This is because the year and month
values are 99
and 03
, but the day part is missing (zero), so
the value is not a legal date.
TIMESTAMP
columns store legal values using the full precision with
which the value was specified, regardless of the display size. This has
several implications:
TIMESTAMP(4)
or TIMESTAMP(2)
. Otherwise, the value will not
be a legal date and 0
will be stored.
ALTER TABLE
to widen a narrow TIMESTAMP
column,
information will be displayed that previously was "hidden".
TIMESTAMP
column does not cause information to
be lost, except in the sense that less information is shown when the values
are displayed.
TIMESTAMP
values are stored to full precision, the only
function that operates directly on the underlying stored value is
UNIX_TIMESTAMP()
. Other functions operate on the formatted retrieved
value. This means you cannot use functions such as HOUR()
or
SECOND()
unless the relevant part of the TIMESTAMP
value is
included in the formatted value. For example, the HH
part of a
TIMESTAMP
column is not displayed unless the display size is at least
10, so trying to use HOUR()
on shorter TIMESTAMP
values
produces a meaningless result.
You can to some extent assign values of one date type to an object of a different date type. However, there may be some alteration of the value or loss of information:
DATE
value to a DATETIME
or TIMESTAMP
object, the time part of the resulting value is set to '00:00:00'
,
because the DATE
value contains no time information.
DATETIME
or TIMESTAMP
value to a DATE
object, the time part of the resulting value is deleted, because the
DATE
type stores no time information.
DATETIME
, DATE
, and TIMESTAMP
values all can be specified using the same set of formats, the types do not
all have the same range of values. For example, TIMESTAMP
values
cannot be earlier than 1970
or later than 2037
. This means
that a date such as '1968-01-01'
, while legal as a DATETIME
or
DATE
value, is not a valid TIMESTAMP
value and will be
converted to 0
if assigned to such an object.
Be aware of certain pitfalls when specifying date values:
'10:11:12'
might look like a time value
because of the `:' delimiter, but if used in a date context will be
interpreted as the year '2010-11-12'
. The value '10:45:15'
will be converted to '0000-00-00'
because '45'
is not a legal
month.
00-31
, months 00-12
, years 1000-9999
.
Any date not within this range will revert to 0000-00-00
.
Please note that this still allows you to store invalid dates such as
2002-04-31
. It allows web applications to store data from a form
without further checking. To ensure a date is valid, perform a check in
your application.
00-69
are converted to 2000-2069
.
70-99
are converted to 1970-1999
.
TIME
Type MySQL retrieves and displays TIME
values in 'HH:MM:SS'
format (or 'HHH:MM:SS'
format for large hours values). TIME
values may range from '-838:59:59'
to '838:59:59'
. The reason
the hours part may be so large is that the TIME
type may be used not
only to represent a time of day (which must be less than 24 hours), but also
elapsed time or a time interval between two events (which may be much greater
than 24 hours, or even negative).
You can specify TIME
values in a variety of formats:
'D HH:MM:SS.fraction'
format. (Note that
MySQL doesn't yet store the fraction for the time column.) One
can also use one of the following "relaxed" syntax:
HH:MM:SS.fraction
, HH:MM:SS
, HH:MM
, D HH:MM:SS
,
D HH:MM
, D HH
or SS
. Here D
is days between 0-33.
'HHMMSS'
format, provided that
it makes sense as a time. For example, '101112'
is understood as
'10:11:12'
, but '109712'
is illegal (it has a nonsensical
minute part) and becomes '00:00:00'
.
HHMMSS
format, provided that it makes sense as a time.
For example, 101112
is understood as '10:11:12'
. The following
alternative formats are also understood: SS
, MMSS
,HHMMSS
,
HHMMSS.fraction
. Note that MySQL doesn't yet store the
fraction part.
TIME
context, such as CURRENT_TIME
.
For TIME
values specified as strings that include a time part
delimiter, it is not necessary to specify two digits for hours, minutes, or
seconds values that are less than 10
. '8:3:2'
is the same as
'08:03:02'
.
Be careful about assigning "short" TIME
values to a TIME
column. Without colons, MySQL interprets values using the
assumption that the rightmost digits represent seconds. (MySQL
interprets TIME
values as elapsed time rather than as time of
day.) For example, you might think of '1112'
and 1112
as
meaning '11:12:00'
(12 minutes after 11 o'clock), but
MySQL interprets them as '00:11:12'
(11 minutes, 12 seconds).
Similarly, '12'
and 12
are interpreted as '00:00:12'
.
TIME
values with colons, by contrast, are always treated as
time of the day. That is '11:12'
will mean '11:12:00'
,
not '00:11:12'
.
Values that lie outside the TIME
range
but are otherwise legal are clipped to the appropriate
endpoint of the range. For example, '-850:00:00'
and
'850:00:00'
are converted to '-838:59:59'
and
'838:59:59'
.
Illegal TIME
values are converted to '00:00:00'
. Note that
because '00:00:00'
is itself a legal TIME
value, there is no way
to tell, from a value of '00:00:00'
stored in a table, whether the
original value was specified as '00:00:00'
or whether it was illegal.
YEAR
Type The YEAR
type is a 1-byte type used for representing years.
MySQL retrieves and displays YEAR
values in YYYY
format. The range is 1901
to 2155
.
You can specify YEAR
values in a variety of formats:
'1901'
to '2155'
.
1901
to 2155
.
'00'
to '99'
. Values in the
ranges '00'
to '69'
and '70'
to '99'
are
converted to YEAR
values in the ranges 2000
to 2069
and
1970
to 1999
.
1
to 99
. Values in the
ranges 1
to 69
and 70
to 99
are converted to
YEAR
values in the ranges 2001
to 2069
and 1970
to 1999
. Note that the range for two-digit numbers is slightly
different from the range for two-digit strings, because you cannot specify zero
directly as a number and have it be interpreted as 2000
. You
must specify it as a string '0'
or '00'
or it will be
interpreted as 0000
.
YEAR
context, such as NOW()
.
Illegal YEAR
values are converted to 0000
.
6.2.3.1 The CHAR and VARCHAR Types | ||
6.2.3.2 The BLOB and TEXT Types | ||
6.2.3.3 The ENUM Type | ||
6.2.3.4 The SET Type |
The string types are CHAR
, VARCHAR
, BLOB
, TEXT
,
ENUM
, and SET
. This section describes how these types work,
their storage requirements, and how to use them in your queries.
Type | Max.size | Bytes |
| 2^8-1 | 255 |
| 2^16-1 (64K-1) | 65535 |
| 2^24-1 (16M-1) | 16777215 |
| 2^32-1 (4G-1) | 4294967295 |
CHAR
and VARCHAR
Types The CHAR
and VARCHAR
types are similar, but differ in the
way they are stored and retrieved.
The length of a CHAR
column is fixed to the length that you declare
when you create the table. The length can be any value between 1 and 255.
(As of MySQL Version 3.23, the length of CHAR
may be 0 to 255.)
When CHAR
values are stored, they are right-padded with spaces to the
specified length. When CHAR
values are retrieved, trailing spaces are
removed.
Values in VARCHAR
columns are variable-length strings. You can
declare a VARCHAR
column to be any length between 1 and 255, just as
for CHAR
columns. However, in contrast to CHAR
, VARCHAR
values are stored using only as many characters as are needed, plus one byte
to record the length. Values are not padded; instead, trailing spaces are
removed when values are stored. (This space removal differs from the SQL-99
specification.) No case conversion takes place during storage or retrieval.
If you assign a value to a CHAR
or VARCHAR
column that
exceeds the column's maximum length, the value is truncated to fit.
The following table illustrates the differences between the two types of columns
by showing the result of storing various string values into CHAR(4)
and VARCHAR(4)
columns:
Value | | Storage required | | Storage required |
| | 4 bytes | | 1 byte |
| | 4 bytes | | 3 bytes |
| | 4 bytes | | 5 bytes |
| | 4 bytes | | 5 bytes |
The values retrieved from the CHAR(4)
and VARCHAR(4)
columns
will be the same in each case, because trailing spaces are removed from
CHAR
columns upon retrieval.
Values in CHAR
and VARCHAR
columns are sorted and compared
in case-insensitive fashion, unless the BINARY
attribute was
specified when the table was created. The BINARY
attribute means
that column values are sorted and compared in case-sensitive fashion
according to the ASCII order of the machine where the MySQL
server is running. BINARY
doesn't affect how the column is stored
or retrieved.
From version 4.1.0, column type CHAR BYTE
is an alias for
CHAR BINARY
. This is a compatibility feature.
The BINARY
attribute is sticky. This means that if a column marked
BINARY
is used in an expression, the whole expression is compared as a
BINARY
value.
MySQL may silently change the type of a CHAR
or VARCHAR
column at table creation time.
See section Silent Column Specification Changes.
BLOB
and TEXT
Types A BLOB
is a binary large object that can hold a variable amount of
data. The four BLOB
types TINYBLOB
, BLOB
,
MEDIUMBLOB
, and LONGBLOB
differ only in the maximum length of
the values they can hold.
See section Column Type Storage Requirements.
The four TEXT
types TINYTEXT
, TEXT
, MEDIUMTEXT
,
and LONGTEXT
correspond to the four BLOB
types and have the
same maximum lengths and storage requirements. The only difference between
BLOB
and TEXT
types is that sorting and comparison is performed
in case-sensitive fashion for BLOB
values and case-insensitive fashion
for TEXT
values. In other words, a TEXT
is a case-insensitive
BLOB
. No case conversion takes place during storage or retrieval.
If you assign a value to a BLOB
or TEXT
column that exceeds
the column type's maximum length, the value is truncated to fit.
In most respects, you can regard a TEXT
column as a VARCHAR
column that can be as big as you like. Similarly, you can regard a
BLOB
column as a VARCHAR BINARY
column. The differences are:
BLOB
and TEXT
columns with
MySQL Version 3.23.2 and newer. Older versions of
MySQL did not support this.
BLOB
and TEXT
columns
when values are stored, as there is for VARCHAR
columns.
BLOB
and TEXT
columns cannot have DEFAULT
values.
From version 4.1.0, LONG
and LONG VARCHAR
map to the
MEDIUMTEXT
data type. This is a compatibility feature.
MyODBC
defines BLOB
values as LONGVARBINARY
and
TEXT
values as LONGVARCHAR
.
Because BLOB
and TEXT
values may be extremely long, you
may run up against some constraints when using them:
GROUP BY
or ORDER BY
on a BLOB
or
TEXT
column, you must convert the column value into a fixed-length
object. The standard way to do this is with the SUBSTRING
function. For example:
mysql> SELECT comment FROM tbl_name,SUBSTRING(comment,20) AS substr -> ORDER BY substr; |
If you don't do this, only the first max_sort_length
bytes of the
column are used when sorting. The default value of max_sort_length
is
1024; this value can be changed using the -O
option when starting the
mysqld
server. You can group on an expression involving BLOB
or
TEXT
values by specifying the column position or by using an alias:
mysql> SELECT id,SUBSTRING(blob_col,1,100) FROM tbl_name GROUP BY 2; mysql> SELECT id,SUBSTRING(blob_col,1,100) AS b FROM tbl_name GROUP BY b; |
BLOB
or TEXT
object is determined by its
type, but the largest value you can actually transmit between the client and
server is determined by the amount of available memory and the size of the
communications buffers. You can change the message buffer size
(max_allowed_packet
), but you must
do so on both the server and client ends. See section Tuning Server Parameters.
Note that each BLOB
or TEXT
value is represented
internally by a separately allocated object. This is in contrast to all
other column types, for which storage is allocated once per column when
the table is opened.
ENUM
Type An ENUM
is a string object whose value normally is chosen from a list
of allowed values that are enumerated explicitly in the column specification
at table creation time.
The value may also be the empty string (""
) or NULL
under
certain circumstances:
ENUM
(that is, a string not
present in the list of allowed values), the empty string is inserted
instead as a special error value. This string can be distinguished from a
'normal' empty string by the fact that this string has the numerical value
0. More about this later.
ENUM
is declared NULL
, NULL
is also a legal value
for the column, and the default value is NULL
. If an ENUM
is
declared NOT NULL
, the default value is the first element of the
list of allowed values.
Each enumeration value has an index:
SELECT
statement to find rows into which invalid
ENUM
values were assigned:
mysql> SELECT * FROM tbl_name WHERE enum_col=0; |
NULL
value is NULL
.
For example, a column specified as ENUM("one", "two", "three")
can
have any of the values shown here. The index of each value is also shown:
Value | Index |
| |
| 0 |
| 1 |
| 2 |
| 3 |
An enumeration can have a maximum of 65535 elements.
Starting from 3.23.51 trailing spaces are automatically deleted from
ENUM
values when the table is created.
Lettercase is irrelevant when you assign values to an ENUM
column.
However, values retrieved from the column later have lettercase matching the
values that were used to specify the allowable values at table creation time.
If you retrieve an ENUM
in a numeric context, the column value's
index is returned. For example, you can retrieve numeric values from
an ENUM
column like this:
mysql> SELECT enum_col+0 FROM tbl_name; |
If you store a number into an ENUM
, the number is treated as an
index, and the value stored is the enumeration member with that index.
(However, this will not work with LOAD DATA
, which treats all
input as strings.)
It's not advisable to store numbers in an ENUM
string because
it will make things confusing.
ENUM
values are sorted according to the order in which the enumeration
members were listed in the column specification. (In other words,
ENUM
values are sorted according to their index numbers.) For
example, "a"
sorts before "b"
for ENUM("a", "b")
, but
"b"
sorts before "a"
for ENUM("b", "a")
. The empty
string sorts before non-empty strings, and NULL
values sort before
all other enumeration values.
To prevent unexpected results, specify the ENUM
list in alphabetical
order. You can also use GROUP BY CONCAT(col)
to make sure the column
is sorted alphabetically rather than by index number.
If you want to get all possible values for an ENUM
column, you should
use: SHOW COLUMNS FROM table_name LIKE enum_column_name
and parse
the ENUM
definition in the second column.
SET
Type A SET
is a string object that can have zero or more values, each of
which must be chosen from a list of allowed values specified when the table
is created. SET
column values that consist of multiple set members
are specified with members separated by commas (`,'). A consequence of
this is that SET
member values cannot themselves contain commas.
For example, a column specified as SET("one", "two") NOT NULL
can have
any of these values:
"" "one" "two" "one,two" |
A SET
can have a maximum of 64 different members.
Starting from 3.23.51 trailing spaces are automatically deleted from
SET
values when the table is created.
MySQL stores SET
values numerically, with the low-order bit
of the stored value corresponding to the first set member. If you retrieve a
SET
value in a numeric context, the value retrieved has bits set
corresponding to the set members that make up the column value. For example,
you can retrieve numeric values from a SET
column like this:
mysql> SELECT set_col+0 FROM tbl_name; |
If a number is stored into a SET
column, the bits that
are set in the binary representation of the number determine the
set members in the column value. Suppose a column is specified as
SET("a","b","c","d")
. Then the members have the following bit
values:
| Decimal value | Binary value |
| | |
| | |
| | |
| | |
If you assign a value of 9
to this column, that is 1001
in
binary, so the first and fourth SET
value members "a"
and
"d"
are selected and the resulting value is "a,d"
.
For a value containing more than one SET
element, it does not matter
what order the elements are listed in when you insert the value. It also
does not matter how many times a given element is listed in the value.
When the value is retrieved later, each element in the value will appear
once, with elements listed according to the order in which they were
specified at table creation time. For example, if a column is specified as
SET("a","b","c","d")
, then "a,d"
, "d,a"
, and
"d,a,a,d,d"
will all appear as "a,d"
when retrieved.
If you set a SET
column to an unsupported value, the value will
be ignored.
SET
values are sorted numerically. NULL
values sort before
non-NULL
SET
values.
Normally, you perform a SELECT
on a SET
column using
the LIKE
operator or the FIND_IN_SET()
function:
mysql> SELECT * FROM tbl_name WHERE set_col LIKE '%value%'; mysql> SELECT * FROM tbl_name WHERE FIND_IN_SET('value',set_col)>0; |
But the following will also work:
mysql> SELECT * FROM tbl_name WHERE set_col = 'val1,val2'; mysql> SELECT * FROM tbl_name WHERE set_col & 1; |
The first of these statements looks for an exact match. The second looks for values containing the first set member.
If you want to get all possible values for a SET
column, you should
use: SHOW COLUMNS FROM table_name LIKE set_column_name
and parse
the SET
definition in the second column.
For the most efficient use of storage, try to use the most precise type in
all cases. For example, if an integer column will be used for values in the
range between 1
and 99999
, MEDIUMINT UNSIGNED
is the
best type.
Accurate representation of monetary values is a common problem. In
MySQL, you should use the DECIMAL
type. This is stored as
a string, so no loss of accuracy should occur. If accuracy is not
too important, the DOUBLE
type may also be good enough.
For high precision, you can always convert to a fixed-point type stored
in a BIGINT
. This allows you to do all calculations with integers
and convert results back to floating-point values only when necessary.
To make it easier to use code written for SQL implementations from other vendors, MySQL maps column types as shown in the following table. These mappings make it easier to move table definitions from other database engines to MySQL:
Other vendor type | MySQL type |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
Column type mapping occurs at table creation time. If you create a table
with types used by other vendors and then issue a DESCRIBE tbl_name
statement, MySQL reports the table structure using the equivalent
MySQL types.
The storage requirements for each of the column types supported by MySQL are listed by category.
Column type | Storage required |
| 1 byte |
| 2 bytes |
| 3 bytes |
| 4 bytes |
| 4 bytes |
| 8 bytes |
| 4 if X <= 24 or 8 if 25 <= X <= 53 |
| 4 bytes |
| 8 bytes |
| 8 bytes |
| 8 bytes |
| |
| |
Column type | Storage required |
| 3 bytes |
| 8 bytes |
| 4 bytes |
| 3 bytes |
| 1 byte |
Column type | Storage required |
| |
| |
| |
| |
| |
| |
| 1 or 2 bytes, depending on the number of enumeration values (65535 values maximum) |
| 1, 2, 3, 4 or 8 bytes, depending on the number of set members (64 members maximum) |
VARCHAR
and the BLOB
and TEXT
types are variable-length
types, for which the storage requirements depend on the actual length of
column values (represented by L
in the preceding table), rather than
on the type's maximum possible size. For example, a VARCHAR(10)
column can hold a string with a maximum length of 10 characters. The actual
storage required is the length of the string (L
), plus 1 byte to
record the length of the string. For the string 'abcd'
, L
is 4
and the storage requirement is 5 bytes.
The BLOB
and TEXT
types require 1, 2, 3, or 4 bytes to record
the length of the column value, depending on the maximum possible length of
the type. See section The BLOB
and TEXT
Types.
If a table includes any variable-length column types, the record format will also be variable-length. Note that when a table is created, MySQL may, under certain conditions, change a column from a variable-length type to a fixed-length type, or vice-versa. See section Silent Column Specification Changes.
The size of an ENUM
object is determined by the number of
different enumeration values. One byte is used for enumerations with up
to 255 possible values. Two bytes are used for enumerations with up to
65535 values. See section The ENUM
Type.
The size of a SET
object is determined by the number of different
set members. If the set size is N
, the object occupies (N+7)/8
bytes, rounded up to 1, 2, 3, 4, or 8 bytes. A SET
can have a maximum
of 64 members. See section The SET
Type.
The maximum size of a row in a MyISAM
table is 65534 bytes. Each
BLOB
and TEXT
column accounts for only 5-9 bytes
toward this size.
SELECT
and WHERE
Clauses A select_expression
or where_definition
in an SQL statement
can consist of any expression using the functions described below.
An expression that contains NULL
always produces a NULL
value
unless otherwise indicated in the documentation for the operators and
functions involved in the expression.
Note: there must be no whitespace between a function name and the parentheses following it. This helps the MySQL parser distinguish between function calls and references to tables or columns that happen to have the same name as a function. Spaces around arguments are permitted, though.
You can force MySQL to accept spaces after the function name by
starting mysqld
with --ansi
or using the
CLIENT_IGNORE_SPACE
to mysql_connect()
, but in this case all
function names will become reserved words. See section Running MySQL in ANSI Mode.
For the sake of brevity, examples display the output from the mysql
program in abbreviated form. So this:
mysql> SELECT MOD(29,9); 1 rows in set (0.00 sec) +-----------+ | mod(29,9) | +-----------+ | 2 | +-----------+ |
is displayed like this:
mysql> SELECT MOD(29,9); -> 2 |
6.3.1.1 Parentheses | ||
6.3.1.2 Comparison Operators | ||
6.3.1.3 Logical Operators | ||
6.3.1.4 Control Flow Functions |
( ... ) |
Use parentheses to force the order of evaluation in an expression. For example:
mysql> SELECT 1+2*3; -> 7 mysql> SELECT (1+2)*3; -> 9 |
Comparison operations result in a value of 1
(TRUE), 0
(FALSE),
or NULL
. These functions work for both numbers and strings. Strings
are automatically converted to numbers and numbers to strings as needed (as
in Perl).
MySQL performs comparisons using the following rules:
NULL
, the result of the comparison
is NULL
, except for the <=>
operator.
TIMESTAMP
or DATETIME
column and
the other argument is a constant, the constant is converted
to a timestamp before the comparison is performed. This is done to be more
ODBC-friendly.
By default, string comparisons are done in case-independent fashion using the current character set (ISO-8859-1 Latin1 by default, which also works excellently for English).
If you are comparing case-insensitive strings with any of the standard
operators (=
, <>
..., but not LIKE
) trailing whitespace
(spaces, tabs and newlines) will be ignored.
mysql> SELECT "a" ="A \n"; -> 1 |
The following examples illustrate conversion of strings to numbers for comparison operations:
mysql> SELECT 1 > '6x'; -> 0 mysql> SELECT 7 > '6x'; -> 1 mysql> SELECT 0 > 'x6'; -> 0 mysql> SELECT 0 = 'x6'; -> 1 |
=
Equal:
mysql> SELECT 1 = 0; -> 0 mysql> SELECT '0' = 0; -> 1 mysql> SELECT '0.0' = 0; -> 1 mysql> SELECT '0.01' = 0; -> 0 mysql> SELECT '.01' = 0.01; -> 1 |
<>
!=
Not equal:
mysql> SELECT '.01' <> '0.01'; -> 1 mysql> SELECT .01 <> '0.01'; -> 0 mysql> SELECT 'zapp' <> 'zappp'; -> 1 |
<=
Less than or equal:
mysql> SELECT 0.1 <= 2; -> 1 |
<
Less than:
mysql> SELECT 2 < 2; -> 0 |
>=
Greater than or equal:
mysql> SELECT 2 >= 2; -> 1 |
>
Greater than:
mysql> SELECT 2 > 2; -> 0 |
<=>
NULL
-safe equal:
mysql> SELECT 1 <=> 1, NULL <=> NULL, 1 <=> NULL; -> 1 1 0 |
IS NULL
IS NOT NULL
Test whether a value is or is not NULL
:
mysql> SELECT 1 IS NULL, 0 IS NULL, NULL IS NULL; -> 0 0 1 mysql> SELECT 1 IS NOT NULL, 0 IS NOT NULL, NULL IS NOT NULL; -> 1 1 0 |
To be able to work well with other programs, MySQL supports the following
extra features when using IS NULL
:
SELECT * FROM tbl_name WHERE auto_col IS NULL |
This can be disabled by setting SQL_AUTO_IS_NULL=0
. See section SET
Syntax.
NOT NULL
DATE
and DATETIME
columns you can find
the special date 0000-00-00
by using:
SELECT * FROM tbl_name WHERE date_column IS NULL |
This is needed to get some ODBC applications to work (as ODBC doesn't
support a 0000-00-00
date)
expr BETWEEN min AND max
If expr
is greater than or equal to min
and expr
is
less than or equal to max
, BETWEEN
returns 1
,
otherwise it returns 0
. This is equivalent to the expression
(min <= expr AND expr <= max)
if all the arguments are of the
same type. Otherwise type conversion takes place, according to the rules
above, but applied to all the three arguments. Note that before
4.0.5 arguments were converted to the type of expr
instead.
mysql> SELECT 1 BETWEEN 2 AND 3; -> 0 mysql> SELECT 'b' BETWEEN 'a' AND 'c'; -> 1 mysql> SELECT 2 BETWEEN 2 AND '3'; -> 1 mysql> SELECT 2 BETWEEN 2 AND 'x-3'; -> 0 |
expr NOT BETWEEN min AND max
Same as NOT (expr BETWEEN min AND max)
.
expr IN (value,...)
Returns 1
if expr
is any of the values in the IN
list,
else returns 0
. If all values are constants, then all values are
evaluated according to the type of expr
and sorted. The search for the
item is then done using a binary search. This means IN
is very quick
if the IN
value list consists entirely of constants. If expr
is a case-sensitive string expression, the string comparison is performed in
case-sensitive fashion:
mysql> SELECT 2 IN (0,3,5,'wefwf'); -> 0 mysql> SELECT 'wefwf' IN (0,3,5,'wefwf'); -> 1 |
The number of values in the IN
list is only limited by the
max_allowed_packet
value.
From 4.1 (to comply with the SQL-99 standard), IN
returns NULL
not only if the expression on the left hand side is NULL
, but also if
no match is found in the list and one of the expressions in the list is
NULL
.
expr NOT IN (value,...)
Same as NOT (expr IN (value,...))
.
ISNULL(expr)
If expr
is NULL
, ISNULL()
returns 1
, otherwise
it returns 0
:
mysql> SELECT ISNULL(1+1); -> 0 mysql> SELECT ISNULL(1/0); -> 1 |
Note that a comparison of NULL
values using =
will always be
false!
COALESCE(list)
Returns first non-NULL
element in list:
mysql> SELECT COALESCE(NULL,1); -> 1 mysql> SELECT COALESCE(NULL,NULL,NULL); -> NULL |
INTERVAL(N,N1,N2,N3,...)
Returns 0
if N
< N1
, 1
if N
< N2
and so on or -1
if N
is NULL
. All arguments are treated
as integers. It is required that N1
< N2
< N3
<
...
< Nn
for this function to work correctly. This is because
a binary search is used (very fast):
mysql> SELECT INTERVAL(23, 1, 15, 17, 30, 44, 200); -> 3 mysql> SELECT INTERVAL(10, 1, 10, 100, 1000); -> 2 mysql> SELECT INTERVAL(22, 23, 30, 44, 200); -> 0 |
In SQL, all logical operators evaluate to TRUE, FALSE or NULL (UNKNOWN).
In MySQL, this is implemented as 1
(TRUE), 0
(FALSE),
and NULL
. Most of this is common between different SQL databases,
however some may return any non-zero value for TRUE.
NOT
!
Logical NOT.
Evaluates to 1
if the operand is 0
,
to 0
if the operand is non-zero,
and NOT NULL
returns NULL
.
mysql> SELECT NOT 10; -> 0 mysql> SELECT NOT 0; -> 1 mysql> SELECT NOT NULL; -> NULL mysql> SELECT ! (1+1); -> 0 mysql> SELECT ! 1+1; -> 1 |
The last example produces 1
because the expression evaluates
the same way as (!1)+1
.
AND
&&
Logical AND.
Evaluates to 1
if all operands are non-zero and not NULL
,
to 0
if one or more operands are 0
,
otherwise NULL
is returned.
mysql> SELECT 1 && 1; -> 1 mysql> SELECT 1 && 0; -> 0 mysql> SELECT 1 && NULL; -> NULL mysql> SELECT 0 && NULL; -> 0 mysql> SELECT NULL && 0; -> 0 |
Please note that MySQL versions prior to 4.0.5 stop evaluation when
a NULL
is encountered, rather than continuing the process to
check for possible 0
s. This means that in these versions,
SELECT (NULL AND 0)
returns NULL
instead of 0
.
In 4.0.5 the code has been re-engineered so that the result will
always be as prescribed by the SQL standards while still using the
optimisation wherever possible.
OR
||
Logical OR.
Evaluates to 1
if any operand is non-zero,
to NULL
if any operand is NULL
,
otherwise 0
is returned.
mysql> SELECT 1 || 1; -> 1 mysql> SELECT 1 || 0; -> 1 mysql> SELECT 0 || 0; -> 0 mysql> SELECT 0 || NULL; -> NULL mysql> SELECT 1 || NULL; -> 1 |
XOR
Logical XOR.
Returns NULL
if either operand is NULL
.
For non-NULL
operands, evaluates to 1
if an odd number
of operands is non-zero,
otherwise 0
is returned.
example_for_help_topic XOR mysql> SELECT 1 XOR 1; -> 0 mysql> SELECT 1 XOR 0; -> 1 mysql> SELECT 1 XOR NULL; -> NULL mysql> SELECT 1 XOR 1 XOR 1; -> 1 |
a XOR b
is mathematically equal to
(a AND (NOT b)) OR ((NOT a) and b)
.
XOR
was added in version 4.0.2.
IFNULL(expr1,expr2)
If expr1
is not NULL
, IFNULL()
returns expr1
,
else it returns expr2
. IFNULL()
returns a numeric or string
value, depending on the context in which it is used:
mysql> SELECT IFNULL(1,0); -> 1 mysql> SELECT IFNULL(NULL,10); -> 10 mysql> SELECT IFNULL(1/0,10); -> 10 mysql> SELECT IFNULL(1/0,'yes'); -> 'yes' |
In 4.0.6 and above the default result value of
IFNULL(expr1,expr2)
is the more 'general' of the two expressions,
in the order STRING
, REAL
or INTEGER
.The difference
to earlier MySQL versions are mostly notable when you create a table
based on expressions or MySQL has to internally store a value from
IFNULL()
in a temporary table.
CREATE TABLE foo SELECT IFNULL(1,"test") as test; |
In MySQL 4.0.6 the type for column 'test' is CHAR(4)
while in
earlier versions you would get BIGINT
.
NULLIF(expr1,expr2)
If expr1 = expr2
is true, return NULL
else return expr1
.
This is the same as CASE WHEN x = y THEN NULL ELSE x END
:
mysql> SELECT NULLIF(1,1); -> NULL mysql> SELECT NULLIF(1,2); -> 1 |
Note that expr1
is evaluated twice in MySQL if the arguments
are not equal.
IF(expr1,expr2,expr3)
If expr1
is TRUE (expr1 <> 0
and expr1 <> NULL
) then
IF()
returns expr2
, else it returns expr3
.
IF()
returns a numeric or string value, depending on the context
in which it is used:
mysql> SELECT IF(1>2,2,3); -> 3 mysql> SELECT IF(1<2,'yes','no'); -> 'yes' mysql> SELECT IF(STRCMP('test','test1'),'no','yes'); -> 'no' |
If expr2
or expr3
is explicitely NULL
then the
result type of the IF()
function is the type of the not
NULL
column. (This behaviour is new in MySQL 4.0.3).
expr1
is evaluated as an integer value, which means that if you are
testing floating-point or string values, you should do so using a comparison
operation:
mysql> SELECT IF(0.1,1,0); -> 0 mysql> SELECT IF(0.1<>0,1,0); -> 1 |
In the first case above, IF(0.1)
returns 0
because 0.1
is converted to an integer value, resulting in a test of IF(0)
. This
may not be what you expect. In the second case, the comparison tests the
original floating-point value to see whether it is non-zero. The result
of the comparison is used as an integer.
The default return type of IF()
(which may matter when it is
stored into a temporary table) is calculated in MySQL Version
3.23 as follows:
Expression | Return value |
expr2 or expr3 returns string | string |
expr2 or expr3 returns a floating-point value | floating-point |
expr2 or expr3 returns an integer | integer |
If expr2 and expr3 are strings, then the result is case-insensitive if both strings are case-insensitive. (Starting from 3.23.51)
CASE value WHEN [compare-value] THEN result [WHEN [compare-value] THEN result ...] [ELSE result] END
CASE WHEN [condition] THEN result [WHEN [condition] THEN result ...] [ELSE result] END
The first version returns the result
where
value=compare-value
. The second version returns the result for
the first condition, which is true. If there was no matching result
value, then the result after ELSE
is returned. If there is no
ELSE
part then NULL
is returned:
mysql> SELECT CASE 1 WHEN 1 THEN "one" WHEN 2 THEN "two" ELSE "more" END; -> "one" mysql> SELECT CASE WHEN 1>0 THEN "true" ELSE "false" END; -> "true" mysql> SELECT CASE BINARY "B" WHEN "a" THEN 1 WHEN "b" THEN 2 END; -> NULL |
The type of the return value (INTEGER
, DOUBLE
or
STRING
) is the same as the type of the first returned value (the
expression after the first THEN
).
String-valued functions return NULL
if the length of the result would
be greater than the max_allowed_packet
server parameter. See section Tuning Server Parameters.
For functions that operate on string positions, the first position is numbered 1.
ASCII(str)
Returns the ASCII code value of the leftmost character of the string
str
. Returns 0
if str
is the empty string. Returns
NULL
if str
is NULL
:
mysql> SELECT ASCII('2'); -> 50 mysql> SELECT ASCII(2); -> 50 mysql> SELECT ASCII('dx'); -> 100 |
See also the ORD()
function.
ORD(str)
If the leftmost character of the string str
is a multi-byte character,
returns the code for that character, calculated from the ASCII code values
of its constituent characters using this formula:
((first byte ASCII code)*256+(second byte ASCII code))[*256+third byte ASCII code...]
.
If the leftmost character is not a multi-byte character, returns the same
value that the ASCII()
function does:
mysql> SELECT ORD('2'); -> 50 |
CONV(N,from_base,to_base)
Converts numbers between different number bases. Returns a string
representation of the number N
, converted from base from_base
to base to_base
. Returns NULL
if any argument is NULL
.
The argument N
is interpreted as an integer, but may be specified as
an integer or a string. The minimum base is 2
and the maximum base is
36
. If to_base
is a negative number, N
is regarded as a
signed number. Otherwise, N
is treated as unsigned. CONV
works
with 64-bit precision:
mysql> SELECT CONV("a",16,2); -> '1010' mysql> SELECT CONV("6E",18,8); -> '172' mysql> SELECT CONV(-17,10,-18); -> '-H' mysql> SELECT CONV(10+"10"+'10'+0xa,10,10); -> '40' |
BIN(N)
Returns a string representation of the binary value of N
, where
N
is a longlong (BIGINT
) number. This is equivalent to
CONV(N,10,2)
. Returns NULL
if N
is NULL
:
mysql> SELECT BIN(12); -> '1100' |
OCT(N)
Returns a string representation of the octal value of N
, where
N
is a longlong number. This is equivalent to CONV(N,10,8)
.
Returns NULL
if N
is NULL
:
mysql> SELECT OCT(12); -> '14' |
HEX(N_or_S)
If N_OR_S is a number, returns a string representation of the hexadecimal
value of N
, where N
is a longlong (BIGINT
) number.
This is equivalent to CONV(N,10,16)
.
If N_OR_S is a string, returns a hexadecimal string of N_OR_S where each
character in N_OR_S is converted to 2 hexadecimal digits. This is the
invers of the 0xff
strings.
mysql> SELECT HEX(255); -> 'FF' mysql> SELECT HEX("abc"); -> 616263 mysql> SELECT 0x616263; -> "abc" |
CHAR(N,...)
CHAR()
interprets the arguments as integers and returns a string
consisting of the characters given by the ASCII code values of those
integers. NULL
values are skipped:
mysql> SELECT CHAR(77,121,83,81,'76'); -> 'MySQL' mysql> SELECT CHAR(77,77.3,'77.3'); -> 'MMM' |
CONCAT(str1,str2,...)
Returns the string that results from concatenating the arguments. Returns
NULL
if any argument is NULL
. May have more than 2 arguments.
A numeric argument is converted to the equivalent string form:
mysql> SELECT CONCAT('My', 'S', 'QL'); -> 'MySQL' mysql> SELECT CONCAT('My', NULL, 'QL'); -> NULL mysql> SELECT CONCAT(14.3); -> '14.3' |
CONCAT_WS(separator, str1, str2,...)
CONCAT_WS()
stands for CONCAT With Separator and is a special form of
CONCAT()
. The first argument is the separator for the rest of the
arguments. The separator can be a string as well as the rest of the
arguments. If the separator is NULL
, the result will be NULL
.
The function will skip any NULL
values after the
separator argument. The separator will be added between the strings to be
concatenated:
mysql> SELECT CONCAT_WS(",","First name","Second name","Last Name"); -> 'First name,Second name,Last Name' mysql> SELECT CONCAT_WS(",","First name",NULL,"Last Name"); -> 'First name,Last Name' |
Before MySQL 4.1.1, CONCAT_WS()
skips empty strings as well as
NULL
values.
LENGTH(str)
OCTET_LENGTH(str)
CHAR_LENGTH(str)
CHARACTER_LENGTH(str)
Returns the length of the string str
:
mysql> SELECT LENGTH('text'); -> 4 mysql> SELECT OCTET_LENGTH('text'); -> 4 |
LENGTH()
and OCTET_LENGTH()
are synonyms, and measure string
length in bytes (octets). A multi-byte character counts as multiple bytes.
CHAR_LENGTH()
and CHARACTER_LENGTH()
are synonyms, and measure
string length in characters. A multiple-byte character counts as a single
character.
This means that for a string containing five two-byte characters,
LENGTH()
returns 10
, whereas CHAR_LENGTH()
returns
5
.
BIT_LENGTH(str)
Returns the length of the string str
in bits:
mysql> SELECT BIT_LENGTH('text'); -> 32 |
LOCATE(substr,str)
POSITION(substr IN str)
Returns the position of the first occurrence of substring substr
in string str
. Returns 0
if substr
is not in str
:
mysql> SELECT LOCATE('bar', 'foobarbar'); -> 4 mysql> SELECT LOCATE('xbar', 'foobar'); -> 0 |
This function is multi-byte safe. In MySQL 3.23 this function is case sensitive, while in 4.0 it's only case-sensitive if either argument is a binary string.
LOCATE(substr,str,pos)
Returns the position of the first occurrence of substring substr
in
string str
, starting at position pos
.
Returns 0
if substr
is not in str
:
mysql> SELECT LOCATE('bar', 'foobarbar',5); -> 7 |
This function is multi-byte safe. In MySQL 3.23 this function is case sensitive, while in 4.0 it's only case-sensitive if either argument is a binary string.
INSTR(str,substr)
Returns the position of the first occurrence of substring substr
in
string str
. This is the same as the two-argument form of
LOCATE()
, except that the arguments are swapped:
mysql> SELECT INSTR('foobarbar', 'bar'); -> 4 mysql> SELECT INSTR('xbar', 'foobar'); -> 0 |
This function is multi-byte safe. In MySQL 3.23 this function is case sensitive, while in 4.0 it's only case-sensitive if either argument is a binary string.
LPAD(str,len,padstr)
Returns the string str
, left-padded with the string padstr
until str
is len
characters long. If str
is longer
than len'
then it will be shortened to len
characters.
mysql> SELECT LPAD('hi',4,'??'); -> '??hi' |
RPAD(str,len,padstr)
Returns the string str
, right-padded with the string
padstr
until str
is len
characters long. If
str
is longer than len'
then it will be shortened to
len
characters.
mysql> SELECT RPAD('hi',5,'?'); -> 'hi???' |
LEFT(str,len)
Returns the leftmost len
characters from the string str
:
mysql> SELECT LEFT('foobarbar', 5); -> 'fooba' |
This function is multi-byte safe.
RIGHT(str,len)
Returns the rightmost len
characters from the string str
:
mysql> SELECT RIGHT('foobarbar', 4); -> 'rbar' |
This function is multi-byte safe.
SUBSTRING(str,pos,len)
SUBSTRING(str FROM pos FOR len)
MID(str,pos,len)
Returns a substring len
characters long from string str
,
starting at position pos
.
The variant form that uses FROM
is SQL-92 syntax:
mysql> SELECT SUBSTRING('Quadratically',5,6); -> 'ratica' |
This function is multi-byte safe.
SUBSTRING(str,pos)
SUBSTRING(str FROM pos)
Returns a substring from string str
starting at position pos
:
mysql> SELECT SUBSTRING('Quadratically',5); -> 'ratically' mysql> SELECT SUBSTRING('foobarbar' FROM 4); -> 'barbar' |
This function is multi-byte safe.
SUBSTRING_INDEX(str,delim,count)
Returns the substring from string str
before count
occurrences of the delimiter delim
.
If count
is positive, everything to the left of the final delimiter
(counting from the left) is returned.
If count
is negative, everything to the right of the final delimiter
(counting from the right) is returned:
mysql> SELECT SUBSTRING_INDEX('www.mysql.com', '.', 2); -> 'www.mysql' mysql> SELECT SUBSTRING_INDEX('www.mysql.com', '.', -2); -> 'mysql.com' |
This function is multi-byte safe.
LTRIM(str)
Returns the string str
with leading space characters removed:
mysql> SELECT LTRIM(' barbar'); -> 'barbar' |
RTRIM(str)
Returns the string str
with trailing space characters removed:
mysql> SELECT RTRIM('barbar '); -> 'barbar' |
This function is multi-byte safe.
TRIM([[BOTH | LEADING | TRAILING] [remstr] FROM] str)
Returns the string str
with all remstr
prefixes and/or suffixes
removed. If none of the specifiers BOTH
, LEADING
or
TRAILING
are given, BOTH
is assumed. If remstr
is not
specified, spaces are removed:
mysql> SELECT TRIM(' bar '); -> 'bar' mysql> SELECT TRIM(LEADING 'x' FROM 'xxxbarxxx'); -> 'barxxx' mysql> SELECT TRIM(BOTH 'x' FROM 'xxxbarxxx'); -> 'bar' mysql> SELECT TRIM(TRAILING 'xyz' FROM 'barxxyz'); -> 'barx' |
This function is multi-byte safe.
SOUNDEX(str)
Returns a soundex string from str
. Two strings that sound almost the
same should have identical soundex strings. A standard soundex string
is 4 characters long, but the SOUNDEX()
function returns an
arbitrarily long string. You can use SUBSTRING()
on the result to get
a standard soundex string. All non-alphanumeric characters are ignored
in the given string. All international alpha characters outside the A-Z range
are treated as vowels:
mysql> SELECT SOUNDEX('Hello'); -> 'H400' mysql> SELECT SOUNDEX('Quadratically'); -> 'Q36324' |
SPACE(N)
Returns a string consisting of N
space characters:
mysql> SELECT SPACE(6); -> ' ' |
REPLACE(str,from_str,to_str)
Returns the string str
with all occurrences of the string
from_str
replaced by the string to_str
:
mysql> SELECT REPLACE('www.mysql.com', 'w', 'Ww'); -> 'WwWwWw.mysql.com' |
This function is multi-byte safe.
REPEAT(str,count)
Returns a string consisting of the string str
repeated count
times. If count <= 0
, returns an empty string. Returns NULL
if
str
or count
are NULL
:
mysql> SELECT REPEAT('MySQL', 3); -> 'MySQLMySQLMySQL' |
REVERSE(str)
Returns the string str
with the order of the characters reversed:
mysql> SELECT REVERSE('abc'); -> 'cba' |
This function is multi-byte safe.
INSERT(str,pos,len,newstr)
Returns the string str
, with the substring beginning at position
pos
and len
characters long replaced by the string
newstr
:
mysql> SELECT INSERT('Quadratic', 3, 4, 'What'); -> 'QuWhattic' |
This function is multi-byte safe.
ELT(N,str1,str2,str3,...)
Returns str1
if N
= 1
, str2
if N
=
2
, and so on. Returns NULL
if N
is less than 1
or greater than the number of arguments. ELT()
is the complement of
FIELD()
:
mysql> SELECT ELT(1, 'ej', 'Heja', 'hej', 'foo'); -> 'ej' mysql> SELECT ELT(4, 'ej', 'Heja', 'hej', 'foo'); -> 'foo' |
FIELD(str,str1,str2,str3,...)
Returns the index of str
in the str1
, str2
,
str3
, ...
list.
Returns 0
if str
is not found.
FIELD()
is the complement of ELT()
:
mysql> SELECT FIELD('ej', 'Hej', 'ej', 'Heja', 'hej', 'foo'); -> 2 mysql> SELECT FIELD('fo', 'Hej', 'ej', 'Heja', 'hej', 'foo'); -> 0 |
FIND_IN_SET(str,strlist)
Returns a value 1
to N
if the string str
is in the list
strlist
consisting of N
substrings. A string list is a string
composed of substrings separated by `,' characters. If the first
argument is a constant string and the second is a column of type SET
,
the FIND_IN_SET()
function is optimised to use bit arithmetic!
Returns 0
if str
is not in strlist
or if strlist
is the empty string. Returns NULL
if either argument is NULL
.
This function will not work properly if the first argument contains a
`,':
mysql> SELECT FIND_IN_SET('b','a,b,c,d'); -> 2 |
MAKE_SET(bits,str1,str2,...)
Returns a set (a string containing substrings separated by `,'
characters) consisting of the strings that have the corresponding bit in
bits
set. str1
corresponds to bit 0, str2
to bit 1,
etc. NULL
strings in str1
, str2
, ...
are not appended to the result:
mysql> SELECT MAKE_SET(1,'a','b','c'); -> 'a' mysql> SELECT MAKE_SET(1 | 4,'hello','nice','world'); -> 'hello,world' mysql> SELECT MAKE_SET(0,'a','b','c'); -> '' |
EXPORT_SET(bits,on,off,[separator,[number_of_bits]])
Returns a string where for every bit set in 'bit', you get an 'on' string and for every reset bit you get an 'off' string. Each string is separated with 'separator' (default ',') and only 'number_of_bits' (default 64) of 'bits' is used:
mysql> SELECT EXPORT_SET(5,'Y','N',',',4) -> Y,N,Y,N |
LCASE(str)
LOWER(str)
Returns the string str
with all characters changed to lowercase
according to the current character set mapping (the default is ISO-8859-1
Latin1):
mysql> SELECT LCASE('QUADRATICALLY'); -> 'quadratically' |
This function is multi-byte safe.
UCASE(str)
UPPER(str)
Returns the string str
with all characters changed to uppercase
according to the current character set mapping (the default is ISO-8859-1
Latin1):
mysql> SELECT UCASE('Hej'); -> 'HEJ' |
This function is multi-byte safe.
LOAD_FILE(file_name)
Reads the file and returns the file contents as a string. The file
must be on the server, you must specify the full pathname to the
file, and you must have the FILE
privilege. The file must
be readable by all and be smaller than max_allowed_packet
.
If the file doesn't exist or can't be read due to one of the above reasons,
the function returns NULL
:
mysql> UPDATE tbl_name SET blob_column=LOAD_FILE("/tmp/picture") WHERE id=1; |
If you are not using MySQL Version 3.23, you have to do the reading
of the file inside your application and create an INSERT
statement
to update the database with the file information. One way to do this, if
you are using the MySQL++ library, can be found at
http://www.mysql.com/documentation/mysql++/mysql++-examples.html.
QUOTE(str)
Quotes a string to produce a result that can be used as a properly escaped
data value in an SQL statement. The string is returned surrounded by single
quotes and with each instance of single quote (`''), backslash (`\'),
ASCII NUL, and Control-Z preceded by a backslash. If the argument is
NULL
, the return value is the word "NULL" without surrounding
single quotes.
The QUOTE
function was added in MySQL version 4.0.3.
mysql> SELECT QUOTE("Don't"); -> 'Don\'t!' mysql> SELECT QUOTE(NULL); -> NULL |
6.3.2.1 String Comparison Functions | ||
6.3.2.2 Case-Sensitivity |
MySQL automatically converts numbers to strings as necessary, and vice-versa:
mysql> SELECT 1+"1"; -> 2 mysql> SELECT CONCAT(2,' test'); -> '2 test' |
If you want to convert a number to a string explicitly, pass it as the
argument to CONCAT()
.
If a string function is given a binary string as an argument, the resulting string is also a binary string. A number converted to a string is treated as a binary string. This only affects comparisons.
Normally, if any expression in a string comparison is case-sensitive, the comparison is performed in case-sensitive fashion.
expr LIKE pat [ESCAPE 'escape-char']
Pattern matching using
SQL simple regular expression comparison. Returns 1
(TRUE) or 0
(FALSE). With LIKE
you can use the following two wildcard characters
in the pattern:
Char | Description |
| Matches any number of characters, even zero characters |
| Matches exactly one character |
mysql> SELECT 'David!' LIKE 'David_'; -> 1 mysql> SELECT 'David!' LIKE '%D%v%'; -> 1 |
To test for literal instances of a wildcard character, precede the character
with the escape character. If you don't specify the ESCAPE
character,
`\' is assumed:
String | Description |
| Matches one |
| Matches one |
mysql> SELECT 'David!' LIKE 'David\_'; -> 0 mysql> SELECT 'David_' LIKE 'David\_'; -> 1 |
To specify a different escape character, use the ESCAPE
clause:
mysql> SELECT 'David_' LIKE 'David|_' ESCAPE '|'; -> 1 |
The following two statements illustrate that string comparisons are case-insensitive unless one of the operands is a binary string:
mysql> SELECT 'abc' LIKE 'ABC'; -> 1 mysql> SELECT 'abc' LIKE BINARY 'ABC'; -> 0 |
LIKE
is allowed on numeric expressions! (This is a MySQL
extension to the SQL-99 LIKE
.)
mysql> SELECT 10 LIKE '1%'; -> 1 |
Note: Because MySQL uses the C escape syntax in strings (for example,
`\n'), you must double any `\' that you use in your LIKE
strings. For example, to search for `\n', specify it as `\\n'. To
search for `\', specify it as `\\\\' (the backslashes are stripped
once by the parser and another time when the pattern match is done, leaving
a single backslash to be matched).
Note: Currently LIKE
is not multi-byte character
safe.
Comparison is done character by character.
expr NOT LIKE pat [ESCAPE 'escape-char']
Same as NOT (expr LIKE pat [ESCAPE 'escape-char'])
.
expr SOUNDS LIKE expr
Same as SOUNDEX(expr)=SOUNDEX(expr)
(available only in version 4.1 or later).
expr REGEXP pat
expr RLIKE pat
Performs a pattern match of a string expression expr
against a pattern
pat
. The pattern can be an extended regular expression.
See section MySQL Regular Expressions. Returns 1
if expr
matches pat
, otherwise
returns 0
. RLIKE
is a synonym for REGEXP
, provided for
mSQL
compatibility. Note: Because MySQL uses the C escape
syntax in strings (for example, `\n'), you must double any `\' that
you use in your REGEXP
strings. As of MySQL Version 3.23.4,
REGEXP
is case-insensitive for normal (not binary) strings:
mysql> SELECT 'Monty!' REGEXP 'm%y%%'; -> 0 mysql> SELECT 'Monty!' REGEXP '.*'; -> 1 mysql> SELECT 'new*\n*line' REGEXP 'new\\*.\\*line'; -> 1 mysql> SELECT "a" REGEXP "A", "a" REGEXP BINARY "A"; -> 1 0 mysql> SELECT "a" REGEXP "^[a-d]"; -> 1 |
REGEXP
and RLIKE
use the current character set (ISO-8859-1
Latin1 by default) when deciding the type of a character.
expr NOT REGEXP pat
expr NOT RLIKE pat
Same as NOT (expr REGEXP pat)
.
STRCMP(expr1,expr2)
STRCMP()
returns 0
if the strings are the same, -1
if the first
argument is smaller than the second according to the current sort order,
and 1
otherwise:
mysql> SELECT STRCMP('text', 'text2'); -> -1 mysql> SELECT STRCMP('text2', 'text'); -> 1 mysql> SELECT STRCMP('text', 'text'); -> 0 |
MATCH (col1,col2,...) AGAINST (expr)
MATCH (col1,col2,...) AGAINST (expr IN BOOLEAN MODE)
MATCH ... AGAINST()
is used for full-text search and returns
relevance - similarity measure between the text in columns
(col1,col2,...)
and the query expr
. Relevance is a
positive floating-point number. Zero relevance means no similarity.
MATCH ... AGAINST()
is available in MySQL version
3.23.23 or later. IN BOOLEAN MODE
extension was added in version
4.0.1. For details and usage examples, see MySQL Full-text Search.
BINARY
The BINARY
operator casts the string following it to a binary string.
This is an easy way to force a column comparison to be case-sensitive even
if the column isn't defined as BINARY
or BLOB
:
mysql> SELECT "a" = "A"; -> 1 mysql> SELECT BINARY "a" = "A"; -> 0 |
BINARY string
is a shorthand for CAST(string AS BINARY)
.
See section Cast Functions.
BINARY
was introduced in MySQL Version 3.23.0.
Note that in some context MySQL will not be able to use the
index efficiently when you cast an indexed column to BINARY
.
If you want to compare a blob case-insensitively you can always convert the blob to upper case before doing the comparison:
SELECT 'A' LIKE UPPER(blob_col) FROM table_name; |
We plan to soon introduce casting between different character sets to make string comparison even more flexible.
6.3.3.1 Arithmetic Operations | ||
6.3.3.2 Mathematical Functions |
The usual arithmetic operators are available. Note that in the case of
`-', `+', and `*', the result is calculated with
BIGINT
(64-bit) precision if both arguments are integers!
If one of the argument is an unsigned integer, and the other argument
is also an integer, the result will be an unsigned integer.
See section Cast Functions.
+
Addition:
mysql> SELECT 3+5; -> 8 |
-
Subtraction:
mysql> SELECT 3-5; -> -2 |
*
Multiplication:
mysql> SELECT 3*5; -> 15 mysql> SELECT 18014398509481984*18014398509481984.0; -> 324518553658426726783156020576256.0 mysql> SELECT 18014398509481984*18014398509481984; -> 0 |
The result of the last expression is incorrect because the result of the
integer multiplication exceeds the 64-bit range of BIGINT
calculations.
/
Division:
mysql> SELECT 3/5; -> 0.60 |
Division by zero produces a NULL
result:
mysql> SELECT 102/(1-1); -> NULL |
A division will be calculated with BIGINT
arithmetic only if performed
in a context where its result is converted to an integer!
All mathematical functions return NULL
in case of an error.
-
Unary minus. Changes the sign of the argument:
mysql> SELECT - 2; -> -2 |
Note that if this operator is used with a BIGINT
, the return value is a
BIGINT
! This means that you should avoid using -
on integers that
may have the value of -2^63
!
ABS(X)
Returns the absolute value of X
:
mysql> SELECT ABS(2); -> 2 mysql> SELECT ABS(-32); -> 32 |
This function is safe to use with BIGINT
values.
SIGN(X)
Returns the sign of the argument as -1
, 0
, or 1
, depending
on whether X
is negative, zero, or positive:
mysql> SELECT SIGN(-32); -> -1 mysql> SELECT SIGN(0); -> 0 mysql> SELECT SIGN(234); -> 1 |
MOD(N,M)
%
Modulo (like the %
operator in C).
Returns the remainder of N
divided by M
:
mysql> SELECT MOD(234, 10); -> 4 mysql> SELECT 253 % 7; -> 1 mysql> SELECT MOD(29,9); -> 2 mysql> SELECT 29 MOD 9; -> 2 |
This function is safe to use with BIGINT
values.
The last example only works in MySQL 4.1
FLOOR(X)
Returns the largest integer value not greater than X
:
mysql> SELECT FLOOR(1.23); -> 1 mysql> SELECT FLOOR(-1.23); -> -2 |
Note that the return value is converted to a BIGINT
!
CEILING(X)
CEIL(X)
Returns the smallest integer value not less than X
:
mysql> SELECT CEILING(1.23); -> 2 mysql> SELECT CEIL(-1.23); -> -1 |
The CEIL()
alias was added in version 4.0.6.
Note that the return value is converted to a BIGINT
!
ROUND(X)
ROUND(X,D)
Returns the argument X
, rounded to the nearest integer.
With two arguments rounded to a number to D
decimals.
mysql> SELECT ROUND(-1.23); -> -1 mysql> SELECT ROUND(-1.58); -> -2 mysql> SELECT ROUND(1.58); -> 2 mysql> SELECT ROUND(1.298, 1); -> 1.3 mysql> SELECT ROUND(1.298, 0); -> 1 mysql> SELECT ROUND(23.298, -1); -> 20 |
Note that the behaviour of ROUND()
when the argument
is half way between two integers depends on the C library
implementation. Some round to the nearest even number,
always up, always down, or always toward zero. If you need
one kind of rounding, you should use a well-defined function
like TRUNCATE()
or FLOOR()
instead.
DIV
Integer division.
Similar to FLOOR()
but safe with BIGINT
values.
mysql> SELECT 5 DIV 2 -> 2 |
DIV
is new in MySQL 4.1.0.
EXP(X)
Returns the value of e
(the base of natural logarithms) raised to
the power of X
:
mysql> SELECT EXP(2); -> 7.389056 mysql> SELECT EXP(-2); -> 0.135335 |
LN(X)
Returns the natural logarithm of X
:
mysql> SELECT LN(2); -> 0.693147 mysql> SELECT LN(-2); -> NULL |
This function was added in MySQL version 4.0.3.
It is synonymous with LOG(X)
in MySQL.
LOG(X)
LOG(B,X)
If called with one parameter, this function returns the natural logarithm
of X
:
mysql> SELECT LOG(2); -> 0.693147 mysql> SELECT LOG(-2); -> NULL |
If called with two parameters, this function returns the logarithm of
X
for an arbitary base B
:
mysql> SELECT LOG(2,65536); -> 16.000000 mysql> SELECT LOG(1,100); -> NULL |
The arbitrary base option was added in MySQL version 4.0.3.
LOG(B,X)
is equivalent to LOG(X)/LOG(B)
.
LOG2(X)
Returns the base-2 logarithm of X
:
mysql> SELECT LOG2(65536); -> 16.000000 mysql> SELECT LOG2(-100); -> NULL |
LOG2()
is useful for finding out how many bits a number would
require for storage.
This function was added in MySQL version 4.0.3.
In earlier versions, you can use LOG(X)/LOG(2)
instead.
LOG10(X)
Returns the base-10 logarithm of X
:
mysql> SELECT LOG10(2); -> 0.301030 mysql> SELECT LOG10(100); -> 2.000000 mysql> SELECT LOG10(-100); -> NULL |
POW(X,Y)
POWER(X,Y)
Returns the value of X
raised to the power of Y
:
mysql> SELECT POW(2,2); -> 4.000000 mysql> SELECT POW(2,-2); -> 0.250000 |
SQRT(X)
Returns the non-negative square root of X
:
mysql> SELECT SQRT(4); -> 2.000000 mysql> SELECT SQRT(20); -> 4.472136 |
PI()
Returns the value of PI. The default shown number of decimals is 5, but MySQL internally uses the full double precession for PI.
mysql> SELECT PI(); -> 3.141593 mysql> SELECT PI()+0.000000000000000000; -> 3.141592653589793116 |
COS(X)
Returns the cosine of X
, where X
is given in radians:
mysql> SELECT COS(PI()); -> -1.000000 |
SIN(X)
Returns the sine of X
, where X
is given in radians:
mysql> SELECT SIN(PI()); -> 0.000000 |
TAN(X)
Returns the tangent of X
, where X
is given in radians:
mysql> SELECT TAN(PI()+1); -> 1.557408 |
ACOS(X)
Returns the arc cosine of X
, that is, the value whose cosine is
X
. Returns NULL
if X
is not in the range -1
to
1
:
mysql> SELECT ACOS(1); -> 0.000000 mysql> SELECT ACOS(1.0001); -> NULL mysql> SELECT ACOS(0); -> 1.570796 |
ASIN(X)
Returns the arc sine of X
, that is, the value whose sine is
X
. Returns NULL
if X
is not in the range -1
to
1
:
mysql> SELECT ASIN(0.2); -> 0.201358 mysql> SELECT ASIN('foo'); -> 0.000000 |
ATAN(X)
Returns the arc tangent of X
, that is, the value whose tangent is
X
:
mysql> SELECT ATAN(2); -> 1.107149 mysql> SELECT ATAN(-2); -> -1.107149 |
ATAN(Y,X)
ATAN2(Y,X)
Returns the arc tangent of the two variables X
and Y
. It is
similar to calculating the arc tangent of Y / X
, except that the
signs of both arguments are used to determine the quadrant of the
result:
mysql> SELECT ATAN(-2,2); -> -0.785398 mysql> SELECT ATAN2(PI(),0); -> 1.570796 |
COT(X)
Returns the cotangent of X
:
mysql> SELECT COT(12); -> -1.57267341 mysql> SELECT COT(0); -> NULL |
CRC32(expr)
Computes a cyclic redundancy check value and returns a 32-bit unsigned value.
The result is NULL
if the argument is NULL
.
The argument is expected be a string and will be treated as one if it is not.
mysql> SELECT CRC32('MySQL'); -> 3259397556 |
CRC32()
is available as of MySQL 4.1.0.
RAND()
RAND(N)
Returns a random floating-point value in the range 0
to 1.0
.
If an integer argument N
is specified, it is used as the seed value
(producing a repeatable sequence):
mysql> SELECT RAND(); -> 0.9233482386203 mysql> SELECT RAND(20); -> 0.15888261251047 mysql> SELECT RAND(20); -> 0.15888261251047 mysql> SELECT RAND(); -> 0.63553050033332 mysql> SELECT RAND(); -> 0.70100469486881 |
You can't use a column with RAND()
values in an ORDER BY
clause, because ORDER BY
would evaluate the column multiple times.
From version 3.23 you can do:
SELECT * FROM table_name ORDER BY RAND()
This is useful to get a random sample of a set SELECT * FROM
table1,table2 WHERE a=b AND c<d ORDER BY RAND() LIMIT 1000
.
Note that a RAND()
in a WHERE
clause will be re-evaluated
every time the WHERE
is executed.
RAND()
is not meant to be a perfect random generator, but instead a
fast way to generate ad hoc random numbers that will be portable between
platforms for the same MySQL version.
LEAST(X,Y,...)
With two or more arguments, returns the smallest (minimum-valued) argument. The arguments are compared using the following rules:
INTEGER
context, or all arguments
are integer-valued, they are compared as integers.
REAL
context, or all arguments are
real-valued, they are compared as reals.
mysql> SELECT LEAST(2,0); -> 0 mysql> SELECT LEAST(34.0,3.0,5.0,767.0); -> 3.0 mysql> SELECT LEAST("B","A","C"); -> "A" |
In MySQL versions prior to Version 3.22.5, you can use MIN()
instead of LEAST
.
GREATEST(X,Y,...)
Returns the largest (maximum-valued) argument.
The arguments are compared using the same rules as for LEAST
:
mysql> SELECT GREATEST(2,0); -> 2 mysql> SELECT GREATEST(34.0,3.0,5.0,767.0); -> 767.0 mysql> SELECT GREATEST("B","A","C"); -> "C" |
In MySQL versions prior to Version 3.22.5, you can use MAX()
instead of GREATEST
.
DEGREES(X)
Returns the argument X
, converted from radians to degrees:
mysql> SELECT DEGREES(PI()); -> 180.000000 |
RADIANS(X)
Returns the argument X
, converted from degrees to radians:
mysql> SELECT RADIANS(90); -> 1.570796 |
TRUNCATE(X,D)
Returns the number X
, truncated to D
decimals. If D
is 0
, the result will have no decimal point or fractional part:
mysql> SELECT TRUNCATE(1.223,1); -> 1.2 mysql> SELECT TRUNCATE(1.999,1); -> 1.9 mysql> SELECT TRUNCATE(1.999,0); -> 1 mysql> SELECT TRUNCATE(-1.999,1); -> -1.9 |
Starting from MySQL 3.23.51, all numbers are rounded toward zero.
If D
is negative, then the whole part of the number is zeroed out:
mysql> SELECT TRUNCATE(122,-2); -> 100 |
Note that as decimal numbers are normally not stored as exact numbers in computers, but as double-precision values, you may be fooled by the following result:
mysql> SELECT TRUNCATE(10.28*100,0); -> 1027 |
The above happens because 10.28 is actually stored as something like 10.2799999999999999.
This section describes the functions that can be used to manipulate temporal values. See Date and Time Types for a description of the range of values each date and time type has and the valid formats in which values may be specified.
Here is an example that uses date functions. The following query selects
all records with a date_col
value from within the last 30 days:
mysql> SELECT something FROM tbl_name WHERE TO_DAYS(NOW()) - TO_DAYS(date_col) <= 30; |
(Note that the query will also select records with dates that lie in the future.)
Functions that expect date values usually will accept datetime values and ignore the time part. Functions that expect time values usually will accept datetime values and ignore the date part.
Functions that return the current date or time each are evaluated only once
per query at the start of query execution. This means that multiple references
to a function such as NOW()
within a single query will always produce
the same result. This principle also applies to CURDATE()
,
CURTIME()
, UTC_DATE()
, UTC_TIME()
, UTC_TIMESTAMP()
,
and any of their synonyms.
The return value ranges in the following function descriptions apply for
complete dates. If a date is a "zero" value or an incomplete date such
as '2001-11-00'
, functions that extract a part of a date may return
0
. For example, DAYOFMONTH('2001-11-00')
returns 0
.
DATE(expr)
Extracts the date part of the date or datetime expression expr
.
mysql> SELECT DATE('2003-12-31 01:02:03'); -> '2003-12-31' |
DATE()
is available as of MySQL 4.1.1.
TIME(expr)
Extracts the time part of the time or datetime expression expr
.
mysql> SELECT TIME('2003-12-31 01:02:03'); -> '01:02:03' mysql> SELECT TIME('2003-12-31 01:02:03.000123'); -> '01:02:03.000123' |
TIME()
is available as of MySQL 4.1.1.
TIMESTAMP(expr)
TIMESTAMP(expr,expr2)
With one argument, returns the date or datetime expression expr
as a datetime value.
With two arguments, adds the time expression expr2
to the
date or datetime expression expr
and returns a datetime value.
mysql> SELECT TIMESTAMP('2003-12-31'); -> '2003-12-31 00:00:00' mysql> SELECT TIMESTAMP('2003-12-31 12:00:00','12:00:00'); -> '2004-01-01 00:00:00' |
TIMESTAMP()
is available as of MySQL 4.1.1.
DAYOFWEEK(date)
Returns the weekday index
for date
(1
= Sunday, 2
= Monday, ... 7
=
Saturday). These index values correspond to the ODBC standard.
mysql> SELECT DAYOFWEEK('1998-02-03'); -> 3 |
WEEKDAY(date)
Returns the weekday index for
date
(0
= Monday, 1
= Tuesday, ... 6
= Sunday):
mysql> SELECT WEEKDAY('1998-02-03 22:23:00'); -> 1 mysql> SELECT WEEKDAY('1997-11-05'); -> 2 |
DAYOFMONTH(date)
Returns the day of the month for date
, in the range 1
to
31
:
mysql> SELECT DAYOFMONTH('1998-02-03'); -> 3 |
DAY(date)
DAY()
is a synonym for DAYOFMONTH()
.
It is available as of MySQL 4.1.1.
DAYOFYEAR(date)
Returns the day of the year for date
, in the range 1
to
366
:
mysql> SELECT DAYOFYEAR('1998-02-03'); -> 34 |
MONTH(date)
Returns the month for date
, in the range 1
to 12
:
mysql> SELECT MONTH('1998-02-03'); -> 2 |
DAYNAME(date)
Returns the name of the weekday for date
:
mysql> SELECT DAYNAME('1998-02-05'); -> 'Thursday' |
MONTHNAME(date)
Returns the name of the month for date
:
mysql> SELECT MONTHNAME('1998-02-05'); -> 'February' |
QUARTER(date)
Returns the quarter of the year for date
, in the range 1
to 4
:
mysql> SELECT QUARTER('98-04-01'); -> 2 |
WEEK(date)
WEEK(date,start)
With a single argument, returns the week for date
, in the range
0
to 53
(yes, there may be the beginnings of a week 53),
for locations where Sunday is the first day of the week. The
two-argument form of WEEK()
allows you to specify whether the
week starts on Sunday or Monday and whether the return value should be in
the range 0-53
or 1-52
.
The following table demonstrates how the start
argument works:
Value | Meaning |
| Week starts on Sunday; return value range is |
| Week starts on Monday; return value range is |
| Week starts on Sunday; return value range is |
| Week starts on Monday; return value range is |
The start
value of 3
can be used as of MySQL 4.0.5.
mysql> SELECT WEEK('1998-02-20'); -> 7 mysql> SELECT WEEK('1998-02-20',0); -> 7 mysql> SELECT WEEK('1998-02-20',1); -> 8 mysql> SELECT WEEK('1998-12-31',1); -> 53 |
For MySQL 3.23 and 4.0, the default value for the start
argument is 0.
In MySQL 4.1, you can control the default value of the start
argument
by using the default_week_format
variable. The syntax for setting default_week_format
is:
SET [SESSION | GLOBAL] default_week_format = {0|1|2|3}; |
Note: In Version 4.0, WEEK(date,0)
was changed to match the
calendar in the USA. Before that, WEEK()
was calculated incorrectly
for dates in USA. (In effect, WEEK(date)
and WEEK(date,0)
was
incorrect for all cases.)
Note that if a date falls in the last week of the previous year, MySQL will
return 0
if you don't use 2
or 3
as the optional
start
argument:
mysql> SELECT YEAR('2000-01-01'), WEEK('2000-01-01',0); -> 2000, 0 |
One might argue that MySQL should return 52
for the WEEK()
function, because the given date actually occurs in the 52nd week of 1999. We
decided to return 0
instead as we want the function to return "the week
number in the given year." This makes the usage of the WEEK()
function reliable when combined with other functions that extract a
date part from a date.
If you would prefer the result to be evaluated with respect to the year
that contains the first day of the week for the given date, you should use
2
or 3
as the optional start
argument.
mysql> SELECT WEEK('2000-01-01',2); -> 52 |
Alternatively, use the YEARWEEK()
function:
mysql> SELECT YEARWEEK('2000-01-01'); -> 199952 mysql> SELECT MID(YEARWEEK('2000-01-01'),5,2); -> '52' |
WEEKOFYEAR(date)
Returns the calendar week of the date as a number in the
range from 1
to 53
.
mysql> SELECT WEEKOFYEAR('1998-02-20'); -> 8 |
WEEKOFYEAR()
is available as of MySQL 4.1.1.
YEAR(date)
Returns the year for date
, in the range 1000
to 9999
:
mysql> SELECT YEAR('98-02-03'); -> 1998 |
YEARWEEK(date)
YEARWEEK(date,start)
Returns year and week for a date. The start
argument works exactly
like the start
argument to WEEK()
. Note that the year in the
result may be
different from the year in the date argument for the first and the last
week of the year:
mysql> SELECT YEARWEEK('1987-01-01'); -> 198653 |
Note that the week number is different from what the WEEK()
function would return (0
) for optional arguments 0
or 1
,
as WEEK()
then returns the week in the context of the given year.
HOUR(time)
Returns the hour for time
. The range of the return value will be
0
to 23
for time-of-day values:
mysql> SELECT HOUR('10:05:03'); -> 10 |
However, the range of TIME
values actually is much larger, so
HOUR
can return values greater than 23
:
mysql> SELECT HOUR('272:59:59'); -> 272 |
MINUTE(time)
Returns the minute for time
, in the range 0
to 59
:
mysql> SELECT MINUTE('98-02-03 10:05:03'); -> 5 |
SECOND(time)
Returns the second for time
, in the range 0
to 59
:
mysql> SELECT SECOND('10:05:03'); -> 3 |
MICROSECOND(expr)
Returns the microseconds from the time or datetime expression expr
as a
number in the range from 0
to 999999
.
mysql> SELECT MICROSECOND('12:00:00.123456'); -> 123456 mysql> SELECT MICROSECOND('1997-12-31 23:59:59.000010'); -> 10 |
MICROSECOND()
is available as of MySQL 4.1.1.
PERIOD_ADD(P,N)
Adds N
months to period P
(in the format YYMM
or
YYYYMM
). Returns a value in the format YYYYMM
.
Note that the period argument P
is not a date value:
mysql> SELECT PERIOD_ADD(9801,2); -> 199803 |
PERIOD_DIFF(P1,P2)
Returns the number of months between periods P1
and P2
.
P1
and P2
should be in the format YYMM
or YYYYMM
.
Note that the period arguments P1
and P2
are not
date values:
mysql> SELECT PERIOD_DIFF(9802,199703); -> 11 |
DATE_ADD(date,INTERVAL expr type)
DATE_SUB(date,INTERVAL expr type)
These functions perform date arithmetic.
As of MySQL Version 3.23, INTERVAL expr type
is allowed on either
side of the +
operator if the expression on the other side is a
date or datetime value.
For the -
operator, INTERVAL expr type
is allowed only on
the right side, because
it makes no sense to subtract a date or datetime value from an interval.
(See examples below.)
date
is a DATETIME
or DATE
value specifying the starting
date. expr
is an expression specifying the interval value to be added
or subtracted from the starting date. expr
is a string; it may start
with a `-' for negative intervals. type
is a keyword indicating
how the expression should be interpreted.
The following table shows how the type
and expr
arguments
are related:
| Expected |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
The type
values DAY_MICROSECOND
, HOUR_MICROSECOND
,
MINUTE_MICROSECOND
, SECOND_MICROSECOND
,
and MICROSECOND
are allowed as of MySQL 4.1.1.
MySQL allows any punctuation delimiter in the expr
format.
Those shown in the table are the suggested delimiters. If the date
argument is a DATE
value and your calculations involve only
YEAR
, MONTH
, and DAY
parts (that is, no time parts), the
result is a DATE
value. Otherwise, the result is a DATETIME
value:
mysql> SELECT '1997-12-31 23:59:59' + INTERVAL 1 SECOND; -> '1998-01-01 00:00:00' mysql> SELECT INTERVAL 1 DAY + '1997-12-31'; -> '1998-01-01' mysql> SELECT '1998-01-01' - INTERVAL 1 SECOND; -> '1997-12-31 23:59:59' mysql> SELECT DATE_ADD('1997-12-31 23:59:59', -> INTERVAL 1 SECOND); -> '1998-01-01 00:00:00' mysql> SELECT DATE_ADD('1997-12-31 23:59:59', -> INTERVAL 1 DAY); -> '1998-01-01 23:59:59' mysql> SELECT DATE_ADD('1997-12-31 23:59:59', -> INTERVAL '1:1' MINUTE_SECOND); -> '1998-01-01 00:01:00' mysql> SELECT DATE_SUB('1998-01-01 00:00:00', -> INTERVAL '1 1:1:1' DAY_SECOND); -> '1997-12-30 22:58:59' mysql> SELECT DATE_ADD('1998-01-01 00:00:00', -> INTERVAL '-1 10' DAY_HOUR); -> '1997-12-30 14:00:00' mysql> SELECT DATE_SUB('1998-01-02', INTERVAL 31 DAY); -> '1997-12-02' mysql> SELECT DATE_ADD('1992-12-31 23:59:59.000002', -> INTERVAL '1.999999' SECOND_MICROSECOND); -> '1993-01-01 00:00:01.000001' |
If you specify an interval value that is too short (does not include all the
interval parts that would be expected from the type
keyword),
MySQL assumes you have left out the leftmost parts of the interval
value. For example, if you specify a type
of DAY_SECOND
, the
value of expr
is expected to have days, hours, minutes, and seconds
parts. If you specify a value like '1:10'
, MySQL assumes
that the days and hours parts are missing and the value represents minutes
and seconds. In other words, '1:10' DAY_SECOND
is interpreted in such
a way that it is equivalent to '1:10' MINUTE_SECOND
. This is
analogous to the way that MySQL interprets TIME
values
as representing elapsed time rather than as time of day.
Note that if you add to or subtract from a date value something that contains a time part, the result is automatically converted to a datetime value:
mysql> SELECT DATE_ADD('1999-01-01', INTERVAL 1 DAY); -> '1999-01-02' mysql> SELECT DATE_ADD('1999-01-01', INTERVAL 1 HOUR); -> '1999-01-01 01:00:00' |
If you use really malformed dates, the result is NULL
. If you add
MONTH
, YEAR_MONTH
, or YEAR
and the resulting date
has a day that is larger than the maximum day for the new month, the day is
adjusted to the maximum days in the new month:
mysql> SELECT DATE_ADD('1998-01-30', interval 1 month); -> '1998-02-28' |
Note from the preceding example that the keyword INTERVAL
and the
type
specifier are not case-sensitive.
ADDDATE(date,INTERVAL expr type)
SUBDATE(date,INTERVAL expr type)
ADDDATE(expr,days)
SUBDATE(expr,days)
When invoked with the INTERVAL
form of the second argument,
ADDDATE()
and SUBDATE()
are synonyms for DATE_ADD()
and
DATE_SUB()
.
mysql> SELECT DATE_ADD('1998-01-02', INTERVAL 31 DAY); -> '1998-02-02' mysql> SELECT ADDDATE('1998-01-02', INTERVAL 31 DAY); -> '1998-02-02' mysql> SELECT DATE_SUB('1998-01-02', INTERVAL 31 DAY); -> '1997-12-02' mysql> SELECT SUBDATE('1998-01-02', INTERVAL 31 DAY); -> '1997-12-02' |
As of MySQL 4.1.1, the second syntax is allowed, where expr
is a date
or datetime expression and days
is the number of days to be added to or
subtracted from expr
.
mysql> SELECT ADDDATE('1998-01-02', 31); -> '1998-02-02' mysql> SELECT SUBDATE('1998-01-02 12:00:00', 31); -> '1997-12-02 12:00:00' |
ADDTIME(expr,expr2)
SUBTIME(expr,expr2)
expr
is a date or datetime expression, and expr2
is a time
expression.
[Rest of description to be added here]
NEED EXAMPLE |
ADDTIME()
and SUBTIME()
were added in MySQL 4.1.1.
EXTRACT(type FROM date)
The EXTRACT()
function uses the same kinds of interval type
specifiers as DATE_ADD()
or DATE_SUB()
, but extracts parts
from the date rather than performing date arithmetic.
mysql> SELECT EXTRACT(YEAR FROM "1999-07-02"); -> 1999 mysql> SELECT EXTRACT(YEAR_MONTH FROM "1999-07-02 01:02:03"); -> 199907 mysql> SELECT EXTRACT(DAY_MINUTE FROM "1999-07-02 01:02:03"); -> 20102 mysql> SELECT EXTRACT(MICROSECOND FROM "2003-01-02 10:30:00.00123"); -> 123 |
DATEDIFF(ARGUMENTS)
TIMEDIFF(ARGUMENTS)
[Rest of description to be added here]
NEED EXAMPLE |
DATEDIFF()
and TIMEDIFF()
were added in MySQL 4.1.1.
TO_DAYS(date)
Given a date date
, returns a daynumber (the number of days since year
0):
mysql> SELECT TO_DAYS(950501); -> 728779 mysql> SELECT TO_DAYS('1997-10-07'); -> 729669 |
TO_DAYS()
is not intended for use with values that precede the advent
of the Gregorian calendar (1582), because it doesn't take into account the
days that were lost when the calendar was changed.
FROM_DAYS(N)
Given a daynumber N
, returns a DATE
value:
mysql> SELECT FROM_DAYS(729669); -> '1997-10-07' |
FROM_DAYS()
is not intended for use with values that precede the
advent of the Gregorian calendar (1582), because it doesn't take into account
the days that were lost when the calendar was changed.
DATE_FORMAT(date,format)
Formats the date
value according to the format
string. The
following specifiers may be used in the format
string:
Specifier | Description |
| Month name ( |
| Weekday name ( |
| Day of the month with English suffix ( |
| Year, numeric, 4 digits |
| Year, numeric, 2 digits |
| Year for the week where Sunday is the first day of the week, numeric, 4 digits; used with |
| Year for the week, where Monday is the first day of the week, numeric, 4 digits; used with |
| Abbreviated weekday name ( |
| Day of the month, numeric ( |
| Day of the month, numeric ( |
| Month, numeric ( |
| Month, numeric ( |
| Abbreviated month name ( |
| Day of year ( |
| Hour ( |
| Hour ( |
| Hour ( |
| Hour ( |
| Hour ( |
| Minutes, numeric ( |
| Time, 12-hour ( |
| Time, 24-hour ( |
| Seconds ( |
| Seconds ( |
| Microseconds ( |
| |
| Day of the week ( |
| Week ( |
| Week ( |
| Week ( |
| Week ( |
| A literal `%'. |
All other characters are just copied to the result without interpretation.
The %f
format specifier is available as of MySQL 4.1.1.
As of MySQL Version 3.23, the `%' character is required before format specifier characters. In earlier versions of MySQL, `%' was optional.
The reason the ranges for the month and day specifiers begin with zero
is that MySQL allows incomplete dates such as '2004-00-00'
to be
stored as of MySQL 3.23.
mysql> SELECT DATE_FORMAT('1997-10-04 22:23:00', '%W %M %Y'); -> 'Saturday October 1997' mysql> SELECT DATE_FORMAT('1997-10-04 22:23:00', '%H:%i:%s'); -> '22:23:00' mysql> SELECT DATE_FORMAT('1997-10-04 22:23:00', '%D %y %a %d %m %b %j'); -> '4th 97 Sat 04 10 Oct 277' mysql> SELECT DATE_FORMAT('1997-10-04 22:23:00', '%H %k %I %r %T %S %w'); -> '22 22 10 10:23:00 PM 22:23:00 00 6' mysql> SELECT DATE_FORMAT('1999-01-01', '%X %V'); -> '1998 52' |
TIME_FORMAT(time,format)
This is used like the DATE_FORMAT()
function above, but the
format
string may contain only those format specifiers that handle
hours, minutes, and seconds. Other specifiers produce a NULL
value or
0
.
If the time
value contains an hour part that is greater than
23
, the %H
and %k
hour format specifiers produce a
value larger than the usual range of 0..23
. The other hour format
specifiers produce the hour value modulo 12:
mysql> SELECT TIME_FORMAT('100:00:00', '%H %k %h %I %l'); -> '100 100 04 04 4' |
MAKEDATE(year,dayofyear)
Returns a date, given year and day-of-year values.
dayofyear
must be greater than 0 or the result will NULL
.
mysql> SELECT MAKEDATE(2001,31), MAKEDATE(2001,32); -> '2001-01-31', '2001-02-01' mysql> SELECT MAKEDATE(2001,365), MAKEDATE(2004,365); -> '2001-12-31', '2004-12-30' mysql> SELECT MAKEDATE(2001,0); -> NULL |
MAKEDATE()
is available as of MySQL 4.1.1.
MAKETIME(hour,minute,second)
Returns a time value calculated from the hour
, minute
, and
second
arguments.
mysql> SELECT MAKETIME(12,15,30); -> '12:15:30' |
MAKETIME()
is available as of MySQL 4.1.1.
CURDATE()
CURRENT_DATE
Returns the current date as a value in 'YYYY-MM-DD'
or YYYYMMDD
format, depending on whether the function is used in a string or numeric
context:
mysql> SELECT CURDATE(); -> '1997-12-15' mysql> SELECT CURDATE() + 0; -> 19971215 |
CURTIME()
CURRENT_TIME
Returns the current time as a value in 'HH:MM:SS'
or HHMMSS
format, depending on whether the function is used in a string or numeric
context:
mysql> SELECT CURTIME(); -> '23:50:26' mysql> SELECT CURTIME() + 0; -> 235026 |
NOW()
SYSDATE()
CURRENT_TIMESTAMP
Returns the current date and time as a value in 'YYYY-MM-DD HH:MM:SS'
or YYYYMMDDHHMMSS
format, depending on whether the function is used in
a string or numeric context:
mysql> SELECT NOW(); -> '1997-12-15 23:50:26' mysql> SELECT NOW() + 0; -> 19971215235026 |
UNIX_TIMESTAMP()
UNIX_TIMESTAMP(date)
If called with no argument, returns a Unix timestamp (seconds since
'1970-01-01 00:00:00'
GMT) as an unsigned integer. If
UNIX_TIMESTAMP()
is called with a date
argument, it
returns the value of the argument as seconds since '1970-01-01
00:00:00'
GMT. date
may be a DATE
string, a
DATETIME
string, a TIMESTAMP
, or a number in the format
YYMMDD
or YYYYMMDD
in local time:
mysql> SELECT UNIX_TIMESTAMP(); -> 882226357 mysql> SELECT UNIX_TIMESTAMP('1997-10-04 22:23:00'); -> 875996580 |
When UNIX_TIMESTAMP
is used on a TIMESTAMP
column, the function
returns the internal timestamp value directly, with no implicit
"string-to-Unix-timestamp" conversion.
If you pass an out-of-range date to UNIX_TIMESTAMP()
it
returns 0
, but please note that only basic checking is performed
(year 1970-2037, month 01-12, day 01-31).
If you want to subtract UNIX_TIMESTAMP()
columns, you may want to
cast the result to signed integers. See section Cast Functions.
FROM_UNIXTIME(unix_timestamp)
FROM_UNIXTIME(unix_timestamp,format)
Returns a representation of the unix_timestamp
argument as a value in
'YYYY-MM-DD HH:MM:SS'
or YYYYMMDDHHMMSS
format, depending on
whether the function is used in a string or numeric context:
mysql> SELECT FROM_UNIXTIME(875996580); -> '1997-10-04 22:23:00' mysql> SELECT FROM_UNIXTIME(875996580) + 0; -> 19971004222300 |
If format
is given, the result is formatted according to the
format
string. format
may contain the same specifiers as
those listed in the entry for the DATE_FORMAT()
function:
mysql> SELECT FROM_UNIXTIME(UNIX_TIMESTAMP(), -> '%Y %D %M %h:%i:%s %x'); -> '2003 6th August 06:22:58 2003' |
SEC_TO_TIME(seconds)
Returns the seconds
argument, converted to hours, minutes, and seconds,
as a value in 'HH:MM:SS'
or HHMMSS
format, depending on whether
the function is used in a string or numeric context:
mysql> SELECT SEC_TO_TIME(2378); -> '00:39:38' mysql> SELECT SEC_TO_TIME(2378) + 0; -> 3938 |
TIME_TO_SEC(time)
Returns the time
argument, converted to seconds:
mysql> SELECT TIME_TO_SEC('22:23:00'); -> 80580 mysql> SELECT TIME_TO_SEC('00:39:38'); -> 2378 |
UTC_DATE()
Returns the current UTC date as a value in 'YYYY-MM-DD'
or
YYYYMMDD
format, depending on whether the function is used in a
string or numeric context:
mysql> SELECT UTC_DATE(), UTC_DATE() + 0; -> '2003-08-14', 20030814 |
UTC_DATE()
is available as of MySQL 4.1.1.
UTC_TIME()
Returns the current UTC time as a value in 'HH:MM:SS'
or HHMMSS
format, depending on whether the function is used in a string or numeric
context:
mysql> SELECT UTC_TIME(), UTC_TIME() + 0; -> '18:07:53', 180753 |
UTC_TIME()
is available as of MySQL 4.1.1.
UTC_TIMESTAMP()
Returns the current UTC date and time as a value in 'YYYY-MM-DD HH:MM:SS'
or YYYYMMDDHHMMSS
format, depending on whether the function is used in
a string or numeric context:
mysql> SELECT UTC_TIMESTAMP(), UTC_TIMESTAMP() + 0; -> '2003-08-14 18:08:04', 20030814180804 |
UTC_TIMESTAMP()
is available as of MySQL 4.1.1.
The CAST()
and CONVERT()
functions may be used to take a
value of one type and produce a value of another type. Their syntax is:
CAST(expression AS type) CONVERT(expression,type) CONVERT(expr USING transcoding_name) |
The type
value can be one of the following:
BINARY
CHAR
DATE
DATETIME
SIGNED {INTEGER}
TIME
UNSIGNED {INTEGER}
CAST()
and CONVERT()
are available as of MySQL 4.0.2.
The CHAR
conversion type is available as of 4.0.6.
The USING
form of CONVERT()
is available as of 4.1.0.
CAST()
and CONVERT(... USING ...)
are SQL-99 syntax.
The non-USING
form of CONVERT()
is ODBC syntax.
The cast functions are useful when you want to create a column with
a specific type in a CREATE ... SELECT
statement:
CREATE TABLE new_table SELECT CAST('2000-01-01' AS DATE); |
The functions also can be useful for sorting ENUM
columns in lexical
order. Normally sorting of ENUM
columns occurs using the internal
numeric values. Casting the values to CHAR
results in a lexical
sort:
SELECT enum_col FROM tbl_name ORDER BY CAST(enum_col AS CHAR); |
CAST(string AS BINARY)
is the same thing as BINARY string
.
CAST(expr AS CHAR)
treats the expression as a string with the
default character set.
NOTE: In MysQL 4.0 the CAST()
to DATE
,
DATETIME
, or TIME
only marks the column to be a specific
type but doesn't change the value of the column.
In MySQL 4.1.0 the value is converted to the correct column type when it's sent to the user (this is a feature of how the new protocol in 4.1 sends date information to the client):
mysql> SELECT CAST(NOW() AS DATE); -> 2003-05-26 |
In later MySQL versions (probably 4.1.2 or 5.0) we will fix that CAST
also changes the result if you use it as part of a more complex expression,
like CONCAT("Date: ",CAST(NOW() AS DATE))
.
You should not use CAST()
to extract data in different formats but
instead use string functions like LEFT
or
EXTRACT()
. See section Date and Time Functions.
To cast a string to a numeric value, you don't normally have to do anything; just use the string value as it would be a number:
mysql> SELECT 1+'1'; -> 2 |
If you use a number in string context, the number will automatically be
converted to a BINARY
string.
mysql> SELECT CONCAT("hello you ",2); -> "hello you 2" |
MySQL supports arithmetic with both signed and unsigned 64-bit values.
If you are using numerical operations (like +
) and one of the
operands is unsigned integer
, the result will be unsigned.
You can override this by using the SIGNED
and UNSIGNED
cast operators to cast the operation to a signed or
unsigned 64-bit integer, respectively.
mysql> SELECT CAST(1-2 AS UNSIGNED) -> 18446744073709551615 mysql> SELECT CAST(CAST(1-2 AS UNSIGNED) AS SIGNED); -> -1 |
Note that if either operand is a floating-point value, the result is
a floating-point value and is not affected by the above rule.
(In this context, DECIMAL
values are regarded as floating-point values.)
mysql> SELECT CAST(1 AS UNSIGNED) - 2.0; -> -1.0 |
If you are using a string in an arithmetic operation, this is converted to a floating-point number.
The handing of unsigned values was changed in MySQL 4.0 to be able to
support BIGINT
values properly. If you have some code that you
want to run in both MySQL 4.0 and 3.23 (in which case you probably can't
use the CAST()
function), you can use the following technique to get
a signed result when subtracting two unsigned integer columns:
SELECT (unsigned_column_1+0.0)-(unsigned_column_2+0.0); |
The idea is that the columns are converted to floating-point values before the subtraction occurs.
If you get a problem with UNSIGNED
columns in your old MySQL
application when porting to MySQL 4.0, you can use the
--sql-mode=NO_UNSIGNED_SUBTRACTION
option when starting
mysqld
. Note however that as long as you use this, you will not
be able to make efficient use of the BIGINT UNSIGNED
column type.
CONVERT()
with USING
is used to convert data between different
character sets. In MySQL, transcoding names are the same as the
corresponding character set names. For example, this statement converts
the string 'abc'
in the server's default character set to the
corresponding string in the utf8
character set:
SELECT CONVERT('abc' USING utf8); |
6.3.6.1 Bit Functions | ||
6.3.6.2 Miscellaneous Functions |
MySQL uses BIGINT
(64-bit) arithmetic for bit operations, so
these operators have a maximum range of 64 bits.
|
Bitwise OR
mysql> SELECT 29 | 15; -> 31 |
The result is an unsigned 64-bit integer.
&
Bitwise AND
mysql> SELECT 29 & 15; -> 13 |
The result is an unsigned 64-bit integer.
^
Bitwise XOR
mysql> SELECT 1 ^ 1; -> 0 mysql> SELECT 1 ^ 0; -> 1 mysql> SELECT 11 ^ 3; -> 8 |
The result is an unsigned 64-bit integer.
XOR
was added in version 4.0.2.
<<
Shifts a longlong (BIGINT
) number to the left:
mysql> SELECT 1 << 2; -> 4 |
The result is an unsigned 64-bit integer.
>>
Shifts a longlong (BIGINT
) number to the right:
mysql> SELECT 4 >> 2; -> 1 |
The result is an unsigned 64-bit integer.
~
Invert all bits:
mysql> SELECT 5 & ~1; -> 4 |
The result is an unsigned 64-bit integer.
BIT_COUNT(N)
Returns the number of bits that are set in the argument N
:
mysql> SELECT BIT_COUNT(29); -> 4 |
DATABASE()
Returns the current database name:
mysql> SELECT DATABASE(); -> 'test' |
If there is no current database, DATABASE()
returns the empty string.
USER()
SYSTEM_USER()
SESSION_USER()
Returns the current MySQL username and hostname:
mysql> SELECT USER(); -> 'davida@localhost' |
The value indicates the username you specified when connecting to the server, and the client host from which you connected. (Prior to MySQL Version 3.22.11, the function value does not include the client hostname.)
You can extract just the username part, regardless of whether the value includes a hostname part, like this:
mysql> SELECT SUBSTRING_INDEX(USER(),"@",1); -> 'davida' |
CURRENT_USER()
Returns the username and hostname that the current session was authenticated
as. This value corresponds to the account that is used for assessing your
access privileges. It may be different than the value of USER()
.
mysql> SELECT USER(); -> 'davida@localhost' mysql> SELECT * FROM mysql.user; -> ERROR 1044: Access denied for user: '@localhost' to database 'mysql' mysql> SELECT CURRENT_USER(); -> '@localhost' |
The example illustrates that although the client specified a username of
davida
(as indicated by the value of the USER()
function),
the server authenticated the client using an anonymous user account (as seen by
the empty username part of the CURRENT_USER()
value). One way this might
occur is that there is no account listed in the grant tables for
davida
.
PASSWORD(str)
OLD_PASSWORD(str)
Calculates a password string from the plaintext password str
. This is
the function that is used for encrypting MySQL passwords for storage
in the Password
column of the user
grant table:
mysql> SELECT PASSWORD('badpwd'); -> '7f84554057dd964b' |
PASSWORD()
encryption is non-reversible.
PASSWORD()
does not perform password encryption in the same way that
Unix passwords are encrypted. See ENCRYPT()
.
Note:
The PASSWORD()
function is used by the authentication system in
MySQL Server, you should NOT use it in your own applications.
For that purpose, use MD5()
or SHA1()
instead.
Also see RFC-2195
for more information about handling passwords
and authentication securely in your application.
ENCRYPT(str[,salt])
Encrypt str
using the Unix crypt()
system call. The
salt
argument should be a string with two characters.
(As of MySQL Version 3.22.16, salt
may be longer than two characters.)
mysql> SELECT ENCRYPT("hello"); -> 'VxuFAJXVARROc' |
ENCRYPT()
ignores all but the first 8 characters of str
, at
least on some systems. This behaviour is determined by the implementation
of the underlying crypt()
system call.
If crypt()
is not available on your system, ENCRYPT()
always
returns NULL
. Because of this we recommend that you use MD5()
or SHA1()
instead; these two functions exist on all platforms.
ENCODE(str,pass_str)
Encrypt str
using pass_str
as the password.
To decrypt the result, use DECODE()
.
The results is a binary string of the same length as string
.
If you want to save it in a column, use a BLOB
column type.
DECODE(crypt_str,pass_str)
Descrypts the encrypted string crypt_str
using pass_str
as the
password. crypt_str
should be a string returned from
ENCODE()
.
MD5(string)
Calculates an MD5 128-bit checksum for the string. The value is returned as a 32-digit hex number that may, for example, be used as a hash key:
mysql> SELECT MD5("testing"); -> 'ae2b1fca515949e5d54fb22b8ed95575' |
This is the "RSA Data Security, Inc. MD5 Message-Digest Algorithm".
SHA1(string)
SHA(string)
Calculates an SHA1 160-bit checksum for the string, as described in
RFC 3174 (Secure Hash Algorithm). The value is returned as a 40-digit
hex number, or NULL
in case the input argument was NULL
.
One of the possible uses for this function is as a hash key. You can
also use it as cryptographically safe function for storing passwords.
mysql> SELECT SHA1("abc"); -> 'a9993e364706816aba3e25717850c26c9cd0d89d' |
SHA1()
was added in version 4.0.2, and can be considered
a cryptographically more secure equivalent of MD5()
.
SHA()
is synonym for SHA1()
.
AES_ENCRYPT(string,key_string)
AES_DECRYPT(string,key_string)
These functions allow encryption/decryption of data using the official AES (Advanced Encryption Standard) algorithm, previously known as Rijndael. Encoding with a 128-bit key length is used, but you can extend it up to 256 bits by modifying the source. We chose 128 bits because it is much faster and it is usually secure enough.
The input arguments may be any length. If either argument is NULL
,
the result of this function is also NULL
.
As AES is a block-level algorithm, padding is used to encode uneven length strings and so the result string length may be calculated as 16*(trunc(string_length/16)+1).
If AES_DECRYPT()
detects invalid data or incorrect padding, it
returns NULL
. However, it is possible for AES_DECRYPT()
to return a non-NULL
value (possibly garbage) if the input data or
the key are invalid.
You can use the AES functions to store data in an encrypted form by modifying your queries:
INSERT INTO t VALUES (1,AES_ENCRYPT("text","password")); |
You can get even more security by not transferring the key over the connection for each query, which can be accomplished by storing it in a server side variable at connection time:
SELECT @password:="my password"; INSERT INTO t VALUES (1,AES_ENCRYPT("text",@password)); |
AES_ENCRYPT()
and AES_DECRYPT()
were added in version 4.0.2,
and can be considered the most cryptographically secure encryption
functions currently available in MySQL.
DES_ENCRYPT(string_to_encrypt [, (key_number | key_string) ] )
Encrypts the string with the given key using the Triple-DES algorithm.
Note that this function only works if you have configured MySQL with SSL support. See section Using Secure Connections.
The encryption key to use is chosen the following way:
Argument | Description |
Only one argument |
The first key from |
key number |
The given key (0-9) from the |
string |
The given |
The return string will be a binary string where the first character
will be CHAR(128 | key_number)
.
The 128 is added to make it easier to recognise an encrypted key.
If you use a string key, key_number
will be 127.
On error, this function returns NULL
.
The string length for the result will be
new_length= org_length + (8-(org_length % 8))+1
.
The des-key-file
has the following format:
key_number des_key_string key_number des_key_string |
Each key_number
must be a number in the range from 0 to 9. Lines in
the file may be in any order. des_key_string
is the string that
will be used to encrypt the message. Between the number and the key there
should be at least one space. The first key is the default key that will
be used if you don't specify any key argument to DES_ENCRYPT()
You can tell MySQL to read new key values from the key file with the
FLUSH DES_KEY_FILE
command. This requires the Reload_priv
privilege.
One benefit of having a set of default keys is that it gives applications a way to check for the existence of encrypted column values, without giving the end user the right to decrypt those values.
mysql> SELECT customer_address FROM customer_table WHERE crypted_credit_card = DES_ENCRYPT("credit_card_number"); |
DES_DECRYPT(string_to_decrypt [, key_string])
Decrypts a string encrypted with DES_ENCRYPT()
.
Note that this function only works if you have configured MySQL with SSL support. See section Using Secure Connections.
If no key_string
argument is given, DES_DECRYPT()
examines
the first byte of the encrypted string to determine the DES key number
that was used to encrypt the original string, then reads the key
from the des-key-file
to decrypt the message. For this to work
the user must have the SUPER
privilege.
If you pass this function a key_string
argument, that string
is used as the key for decrypting the message.
If the string_to_decrypt
doesn't look like an encrypted string, MySQL
will return the given string_to_decrypt
.
On error, this function returns NULL
.
COMPRESS(string_to_compress)
Compresses a string.
mysql> SELECT LENGTH(COMPRESS(REPEAT("a",1000))); -> 21 mysql> SELECT LENGTH(COMPRESS("")); -> 0 mysql> SELECT LENGTH(COMPRESS("a")); -> 13 mysql> SELECT LENGTH(COMPRESS(REPEAT("a",16))); -> 15 |
COMPRESS()
was added in MySQL version 4.1.1.
If requires MySQL to have been compiled with a compression library such as
zlib
. Otherwise, the return value is always NULL
.
UNCOMPRESS(string_to_uncompress)
Uncompresses a string compressed by the COMPRESS()
function.
mysql> SELECT UNCOMPRESS(COMPRESS("any string")); -> 'any string' |
UNCOMPRESS()
was added in MySQL version 4.1.1.
If requires MySQL to have been compiled with a compression library such as
zlib
. Otherwise, the return value is always NULL
.
UNCOMPRESSED_LENGTH(compressed_string)
Returns the length of a compressed string before compressing.
mysql> SELECT UNCOMPRESSED_LENGTH(COMPRESS(REPEAT("a",30))); -> 30 |
UNCOMPRESSED_LENGTH()
was added in MySQL version 4.1.1.
LAST_INSERT_ID([expr])
Returns the last automatically generated value that was inserted into an
AUTO_INCREMENT
column.
mysql> SELECT LAST_INSERT_ID(); -> 195 |
The last ID that was generated is maintained in the server on a
per-connection basis. This means the value the function returns to a given
client is the most recent AUTO_INCREMENT
value generated by that
client. The value cannot be affected by other clients, even if they generate
AUTO_INCREMENT
values of their own. This behaviour ensures that you can
retrieve your own ID without concern for the activity of other clients, and
without the need for locks or transactions.
The value of LAST_INSERT_ID()
is not changed if you
update the AUTO_INCREMENT
column of a row with a
non-magic value (that is, a value that is not NULL
and not 0
).
If you insert many rows at the same time with an insert statement,
LAST_INSERT_ID()
returns the value for the first inserted row.
The reason for this is to make it possible to easily reproduce
the same INSERT
statement against some other server.
If expr
is given as an argument to LAST_INSERT_ID()
, then
the value of the argument is returned by the function, and is set as the
next value to be returned by LAST_INSERT_ID()
. This can be used
to simulate sequences:
First create the table:
mysql> CREATE TABLE sequence (id INT NOT NULL); mysql> INSERT INTO sequence VALUES (0); |
Then the table can be used to generate sequence numbers like this:
mysql> UPDATE sequence SET id=LAST_INSERT_ID(id+1); |
You can generate sequences without calling LAST_INSERT_ID()
, but the
utility of using the function this way is that the ID value is maintained in
the server as the last automatically generated value (multi-user safe).
You can retrieve the new ID as you would read any normal
AUTO_INCREMENT
value in MySQL. For example, LAST_INSERT_ID()
(without an argument) will return the new ID. The C API function
mysql_insert_id()
can also be used to get the value.
Note that as mysql_insert_id()
is only updated after INSERT
and UPDATE
statements, so you can't use the C API function to
retrieve the value for LAST_INSERT_ID(expr)
after executing other
SQL statements like SELECT
or SET
.
See section mysql_insert_id()
.
FORMAT(X,D)
Formats the number X
to a format like '#,###,###.##'
, rounded
to D
decimals, and returns the result as a string.
If D
is 0
, the result will have no
decimal point or fractional part:
mysql> SELECT FORMAT(12332.123456, 4); -> '12,332.1235' mysql> SELECT FORMAT(12332.1,4); -> '12,332.1000' mysql> SELECT FORMAT(12332.2,0); -> '12,332' |
VERSION()
Returns a string indicating the MySQL server version:
mysql> SELECT VERSION(); -> '3.23.13-log' |
Note that if your version ends with -log
this means that logging is
enabled.
CONNECTION_ID()
Returns the connection ID (thread ID) for the connection. Every connection has its own unique ID:
mysql> SELECT CONNECTION_ID(); -> 23786 |
GET_LOCK(str,timeout)
Tries to obtain a lock with a name given by the string str
, with a
timeout of timeout
seconds. Returns 1
if the lock was obtained
successfully, 0
if the attempt timed out (for example, because another
client has already locked the name), or NULL
if an error
occurred (such as running out of memory or the thread was killed with
mysqladmin kill
). A lock is released when you execute
RELEASE_LOCK()
, execute a new GET_LOCK()
, or the thread
terminates (either normally or abnormally).
This function can be used to implement application locks or to
simulate record locks. Names are locked on a server-wide basis.
If a name has been locked by one client, GET_LOCK()
blocks
any request by another client for a lock with the same name. This
allows clients that agree on a given lock name to use the name to
perform cooperative advisory locking:
mysql> SELECT GET_LOCK("lock1",10); -> 1 mysql> SELECT IS_FREE_LOCK("lock2"); -> 1 mysql> SELECT GET_LOCK("lock2",10); -> 1 mysql> SELECT RELEASE_LOCK("lock2"); -> 1 mysql> SELECT RELEASE_LOCK("lock1"); -> NULL |
Note that the second RELEASE_LOCK()
call returns NULL
because
the lock "lock1"
was automatically released by the second
GET_LOCK()
call.
RELEASE_LOCK(str)
Releases the lock named by the string str
that was obtained with
GET_LOCK()
. Returns 1
if the lock was released, 0
if the
lock wasn't locked by this thread (in which case the lock is not released),
and NULL
if the named lock didn't exist. (The lock will not exist if
it was never obtained by a call to GET_LOCK()
or if it already has
been released.)
The DO
statement is convinient to use with RELEASE_LOCK()
.
See section DO
Syntax.
IS_FREE_LOCK(str)
Checks if the lock named str
is free to use (that is, not locked).
Returns 1
if the lock is free (no one is using the lock),
0
if the lock is in use, and
NULL
on errors (such as incorrect arguments).
BENCHMARK(count,expr)
The BENCHMARK()
function executes the expression expr
repeatedly count
times. It may be used to time how fast MySQL
processes the expression. The result value is always 0
. The intended
use is in the mysql
client, which reports query execution times:
mysql> SELECT BENCHMARK(1000000,ENCODE("hello","goodbye")); +----------------------------------------------+ | BENCHMARK(1000000,ENCODE("hello","goodbye")) | +----------------------------------------------+ | 0 | +----------------------------------------------+ 1 row in set (4.74 sec) |
The time reported is elapsed time on the client end, not CPU time on the
server end. It may be advisable to execute BENCHMARK()
several
times, and interpret the result with regard to how heavily loaded the
server machine is.
INET_NTOA(expr)
Given a numeric network address (4 or 8 byte), returns the dotted-quad representation of the address as a string:
mysql> SELECT INET_NTOA(3520061480); -> "209.207.224.40" |
INET_ATON(expr)
Given the dotted-quad representation of a network address as a string, returns an integer that represents the numeric value of the address. Addresses may be 4 or 8 byte addresses:
mysql> SELECT INET_ATON("209.207.224.40"); -> 3520061480 |
The generated number is always in network byte order; for example the
above number is calculated as 209*256^3 + 207*256^2 + 224*256 +40
.
MASTER_POS_WAIT(log_name, log_pos [, timeout])
Blocks until the slave reaches (that is, has read and applied all updates up
to) the specified position in the master log. If master information is
not initialised, or if the arguments are incorrect, returns
NULL
. If the slave is not running, will block and wait until it
is started and goes to or past the specified position. If the slave is
already past the specified position, returns immediately.
If timeout
(new in 4.0.10) is specified, will give up waiting
when timeout
seconds have elapsed. timeout
must be greater
than 0; a zero or negative timeout
means no timeout. The return
value is the number of log events it had to wait to get to the specified
position, or NULL
in case of error, or -1
if the timeout
has been exceeded.
This command is useful for control of master-slave synchronisation.
FOUND_ROWS()
A SELECT
statement may include a LIMIT
clause to restrict the
number of rows the server returns to the client.
In some cases, it is desirable to know how many rows the statement would have
returned without the LIMIT
, but without running the statement again.
To get this row count, include a SQL_CALC_FOUND_ROWS
option in the
SELECT
statement, then invoke FOUND_ROWS()
afterward:
mysql> SELECT SQL_CALC_FOUND_ROWS * FROM tbl_name WHERE id > 100 LIMIT 10; mysql> SELECT FOUND_ROWS(); |
The second SELECT
will return a number indicating how many rows the
first SELECT
would have returned had it been written without the
LIMIT
clause.
(If the preceding SELECT
statement does not include the
SQL_CALC_FOUND_ROWS
option, then FOUND_ROWS()
may return
a different result when LIMIT
is used than when it is not.)
Note that if you are using SELECT SQL_CALC_FOUND_ROWS ...
MySQL has
to calculate how many rows are in the full result set. However, this is
faster than running the query again without LIMIT
, because the result
set need not be sent to the client.
SQL_CALC_FOUND_ROWS
and FOUND_ROWS()
can be useful in situations
when you want to restrict the number of rows that a query returns, but also
determine the number of rows in the full result set without running the query
again. An example is a web script that presents a paged display containing
links to the pages that show other sections of a search result. Using
FOUND_ROWS()
allows you to determine how many other pages are needed
for the rest of the result.
The use of SQL_CALC_FOUND_ROWS
and FOUND_ROWS()
is more complex
for UNION
queries than for simple SELECT
statements, because
LIMIT
may occur at multiple places in a UNION
. It may be applied
to individual SELECT
statements in the UNION
, or global to the
UNION
result as a whole.
The intent of SQL_CALC_FOUND_ROWS
for UNION
is that it should
return the row count that would be returned without a global LIMIT
.
The conditions for use of SQL_CALC_FOUND_ROWS
with UNION
are:
SQL_CALC_FOUND_ROWS
keyword must appear in the first SELECT
of the UNION
.
FOUND_ROWS()
is exact only if UNION ALL
is used.
If UNION
without ALL
is used, duplicate removal occurs and the
value of FOUND_ROWS()
is only approximate.
LIMIT
is present in the UNION
, SQL_CALC_FOUND_ROWS
is ignored and returns the number of rows in the temporary table that is
created to process the UNION
.
SQL_CALC_FOUND_ROWS
and FOUND_ROWS()
are available starting at MySQL version 4.0.0.
GROUP BY
Clauses 6.3.7.1 GROUP BY Functions | ||
6.3.7.2 GROUP BY Modifiers | ||
6.3.7.3 GROUP BY with Hidden Fields |
GROUP BY
Functions If you use a group function in a statement containing no GROUP BY
clause, it is equivalent to grouping on all rows.
COUNT(expr)
Returns a count of the number of non-NULL
values in the rows
retrieved by a SELECT
statement:
mysql> SELECT student.student_name,COUNT(*) -> FROM student,course -> WHERE student.student_id=course.student_id -> GROUP BY student_name; |
COUNT(*)
is somewhat different in that it returns a count of
the number of rows retrieved, whether or not they contain NULL
values.
COUNT(*)
is optimised to
return very quickly if the SELECT
retrieves from one table, no
other columns are retrieved, and there is no WHERE
clause.
For example:
mysql> SELECT COUNT(*) FROM student; |
This optimisation applies only to MyISAM
and ISAM
tables
only, because an exact record count is stored for these table types and
can be accessed very quickly. For transactional storage engines
(InnodB
, BDB
), storing an exact row count is more problematic
because multiple transactions may be occurring, each of which may affect the
count.
COUNT(DISTINCT expr,[expr...])
Returns a count of the number of different non-NULL
values:
mysql> SELECT COUNT(DISTINCT results) FROM student; |
In MySQL you can get the number of distinct expression
combinations that don't contain NULL by giving a list of expressions.
In SQL-99 you would have to do a concatenation of all expressions
inside COUNT(DISTINCT ...)
.
AVG(expr)
Returns the average value of expr
:
mysql> SELECT student_name, AVG(test_score) -> FROM student -> GROUP BY student_name; |
MIN(expr)
MAX(expr)
Returns the minimum or maximum value of expr
. MIN()
and
MAX()
may take a string argument; in such cases they return the
minimum or maximum string value. See section How MySQL Uses Indexes.
mysql> SELECT student_name, MIN(test_score), MAX(test_score) -> FROM student -> GROUP BY student_name; |
In MIN()
, MAX()
and other aggregate functions, MySQL
currently compares ENUM
and SET
columns by their string
value rather than by the string's relative position in the set.
This will be rectified.
SUM(expr)
Returns the sum of expr
. Note that if the return set has no rows,
it returns NULL!
GROUP_CONCAT(expr)
Full syntax:
GROUP_CONCAT([DISTINCT] expr [,expr ...] [ORDER BY {unsigned_integer | col_name | formula} [ASC | DESC] [,col ...]] [SEPARATOR str_val]) |
This function was added in MySQL version 4.1. It returns a string result with the concatenated values from a group:
mysql> SELECT student_name, -> GROUP_CONCAT(test_score) -> FROM student -> GROUP BY student_name; or mysql> SELECT student_name, -> GROUP_CONCAT(DISTINCT test_score -> ORDER BY test_score DESC SEPARATOR " ") -> FROM student -> GROUP BY student_name; |
In MySQL you can get the concatenated values of expression combinations.
You can eliminate duplicate values by using DISTINCT
.
If you want to sort values in the result you should use ORDER BY
clause.
To sort in reverse order, add the DESC
(descending) keyword to the
name of the column you are sorting by in the ORDER BY
clause. The
default is ascending order; this may be specified explicitly using the
ASC
keyword.
SEPARATOR
is the string value which should be inserted between
values of result. The default is a comma (`","'). You can remove
the separator altogether by specifying SEPARATOR ""
.
You can set a maximum allowed length with the variable
group_concat_max_len
in your configuration.
The syntax to do this at runtime is:
SET [SESSION | GLOBAL] group_concat_max_len = unsigned_integer; |
If a maximum length has been set, the result is truncated to this maximum length.
The GROUP_CONCAT()
function is an enhanced implementation of
the basic LIST()
function supported by Sybase SQL Anywhere.
GROUP_CONCAT()
is backward compatible with the extremely limited
functionality of LIST()
, if only one column and no other options
are specified. LIST()
does have a default sorting order.
VARIANCE(expr)
Returns the standard variance of expr
. This is an extension to
SQL-99 (available only in version 4.1 or later).
STD(expr)
STDDEV(expr)
Returns the standard deviation of expr
. This is an extension to
SQL-99. The STDDEV()
form of this function is provided for Oracle
compatibility.
BIT_OR(expr)
Returns the bitwise OR
of all bits in expr
. The calculation is
performed with 64-bit (BIGINT
) precision.
Function returns 0 if there was no matching rows.
BIT_AND(expr)
Returns the bitwise AND
of all bits in expr
. The calculation is
performed with 64-bit (BIGINT
) precision.
Function returns -1 if there was no matching rows.
GROUP BY
Modifiers As of MySQL 4.1.1, the GROUP BY
clause allows a WITH
ROLLUP
modifier that causes extra rows to be added to the summary
output. These rows represent higher-level (or super-aggregate) summary
operations. ROLLUP
thus allows you to answer questions at multiple
levels of analysis with a single query. It can be used, for example,
to provide support for OLAP (Online Analytical Processing) operations.
As an illustration, suppose that a table named sales
has year
,
country
,
product
, and profit
columns for recording sales profitability:
CREATE TABLE sales ( year INT NOT NULL, country VARCHAR(20) NOT NULL, product VARCHAR(32) NOT NULL, profit INT ); |
The table's contents can be summarized per year with a simple GROUP BY
like this:
mysql> SELECT year, SUM(profit) FROM sales GROUP BY year; +------+-------------+ | year | SUM(profit) | +------+-------------+ | 2000 | 4525 | | 2001 | 3010 | +------+-------------+ |
This output shows the total profit for each year, but if you also want to determine the total profit summed over all years, you must add up the individual values yourself or run an additional query.
Or you can use ROLLUP
, which provides both levels of analysis with a
single query.
Adding a WITH ROLLUP
modifier to the GROUP BY
clause causes the query
to produce another row that shows the grand total over all year values:
mysql> SELECT year, SUM(profit) FROM sales GROUP BY year WITH ROLLUP; +------+-------------+ | year | SUM(profit) | +------+-------------+ | 2000 | 4525 | | 2001 | 3010 | | NULL | 7535 | +------+-------------+ |
The grand total super-aggregate line is identified by the value NULL
in
the year
column.
ROLLUP
has a more complex effect when there are multiple GROUP BY
columns. In this case, each time there is a "break" (change in value)
in any but the last grouping column, the query produces an extra
super-aggregate summary row.
For example, without ROLLUP
, a summary on the sales
table based
on year
,
country
, and product
might look like this:
mysql> SELECT year, country, product, SUM(profit) -> FROM sales -> GROUP BY year, country, product; +------+---------+------------+-------------+ | year | country | product | SUM(profit) | +------+---------+------------+-------------+ | 2000 | Finland | Computer | 1500 | | 2000 | Finland | Phone | 100 | | 2000 | India | Calculator | 150 | | 2000 | India | Computer | 1200 | | 2000 | USA | Calculator | 75 | | 2000 | USA | Computer | 1500 | | 2001 | Finland | Phone | 10 | | 2001 | USA | Calculator | 50 | | 2001 | USA | Computer | 2700 | | 2001 | USA | TV | 250 | +------+---------+------------+-------------+ |
The output indicates summary values only at the year/country/product level of
analysis. When ROLLUP
is added, the query produces several extra rows:
mysql> SELECT year, country, product, SUM(profit) -> FROM sales -> GROUP BY year, country, product WITH ROLLUP; +------+---------+------------+-------------+ | year | country | product | SUM(profit) | +------+---------+------------+-------------+ | 2000 | Finland | Computer | 1500 | | 2000 | Finland | Phone | 100 | | 2000 | Finland | NULL | 1600 | | 2000 | India | Calculator | 150 | | 2000 | India | Computer | 1200 | | 2000 | India | NULL | 1350 | | 2000 | USA | Calculator | 75 | | 2000 | USA | Computer | 1500 | | 2000 | USA | NULL | 1575 | | 2000 | NULL | NULL | 4525 | | 2001 | Finland | Phone | 10 | | 2001 | Finland | NULL | 10 | | 2001 | USA | Calculator | 50 | | 2001 | USA | Computer | 2700 | | 2001 | USA | TV | 250 | | 2001 | USA | NULL | 3000 | | 2001 | NULL | NULL | 3010 | | NULL | NULL | NULL | 7535 | +------+---------+------------+-------------+ |
For this query, adding ROLLUP
causes the output to include summary
information at four levels of analysis, not just one. Here's how to
interpret the ROLLUP
output:
product
column set to NULL
.
country
and products
columns set to NULL
.
year
, country
, and products
columns set to
NULL
.
Other Considerations When using ROLLUP
The following items list some behaviours specific to the MySQL implementation
of ROLLUP
:
When you use ROLLUP
, you cannot also use an ORDER BY
clause to
sort the results. (In other words, ROLLUP
and ORDER BY
are mutually
exclusive.) However, you still have some control over sort order.
GROUP BY
in MySQL sorts results, and you can use explicit ASC
and DESC
keywords
with columns named in the GROUP BY
list to specify sort order for
individual columns. (The higher-level summary rows added by ROLLUP
still appear after the rows from which they are calculated, regardless
of the sort order.)
LIMIT
can be used to restrict the number of rows returned to the
client. LIMIT
is applied after ROLLUP
, so the limit applies
against the extra rows added by ROLLUP
. For example:
mysql> SELECT year, country, product, SUM(profit) -> FROM sales -> GROUP BY year, country, product WITH ROLLUP -> LIMIT 5; +------+---------+------------+-------------+ | year | country | product | SUM(profit) | +------+---------+------------+-------------+ | 2000 | Finland | Computer | 1500 | | 2000 | Finland | Phone | 100 | | 2000 | Finland | NULL | 1600 | | 2000 | India | Calculator | 150 | | 2000 | India | Computer | 1200 | +------+---------+------------+-------------+ |
Note that using LIMIT
with ROLLUP
may produce results
that are more difficult to interpret, because you have less context
for understanding the super-aggregate rows.
The NULL
indicators in each super-aggregate row are produced when the
row is sent to the client. The server looks at the columns named in
the GROUP BY
clause following the leftmost one that has changed value.
For any column in the result set with a name that is a lexical match to
any of those names, its value is set to NULL
. (If you specify grouping
columns by column number, the server identifies which columns to set to
NULL
by number.)
Because the NULL
values in the super-aggregate rows are placed into the
result set at such a late stage in query processing, you cannot test them
as NULL
values within the query itself. For example, you cannot add
HAVING product IS NULL
to the query to eliminate from the output all
but the super-aggregate rows.
On the other hand, the NULL
values do appear as NULL
on the client side and can be tested as such using any MySQL client
programming interface.
GROUP BY
with Hidden Fields MySQL has extended the use of GROUP BY
. You can use columns or
calculations in the SELECT
expressions that don't appear in
the GROUP BY
part. This stands for any possible value for this
group. You can use this to get better performance by avoiding sorting and
grouping on unnecessary items. For example, you don't need to group on
customer.name
in the following query:
mysql> SELECT order.custid,customer.name,MAX(payments) -> FROM order,customer -> WHERE order.custid = customer.custid -> GROUP BY order.custid; |
In standard SQL, you would have to add customer.name
to the
GROUP BY
clause. In MySQL, the name is redundant if you don't run in
ANSI mode.
Don't use this feature if the columns you omit from the
GROUP BY
part aren't unique in the group! You will get
unpredictable results.
In some cases, you can use MIN()
and MAX()
to obtain a specific
column value even if it isn't unique. The following gives the value of
column
from the row containing the smallest value in the sort
column:
SUBSTR(MIN(CONCAT(RPAD(sort,6,' '),column)),7) |
See section The Rows Holding the Group-wise Maximum of a Certain Field.
Note that if you are using MySQL Version 3.22 (or earlier) or if
you are trying to follow SQL-99, you can't use expressions in GROUP
BY
or ORDER BY
clauses. You can work around this limitation by
using an alias for the expression:
mysql> SELECT id,FLOOR(value/100) AS val FROM tbl_name -> GROUP BY id,val ORDER BY val; |
In MySQL Version 3.23 you can do:
mysql> SELECT id,FLOOR(value/100) FROM tbl_name ORDER BY RAND(); |
SELECT
, INSERT
, UPDATE
, DELETE
SELECT
Syntax SELECT [STRAIGHT_JOIN] [SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT] [SQL_CACHE | SQL_NO_CACHE] [SQL_CALC_FOUND_ROWS] [HIGH_PRIORITY] [DISTINCT | DISTINCTROW | ALL] select_expression,... [INTO {OUTFILE | DUMPFILE} 'file_name' export_options] [FROM table_references [WHERE where_definition] [GROUP BY {unsigned_integer | col_name | formula} [ASC | DESC], ... [WITH ROLLUP]] [HAVING where_definition] [ORDER BY {unsigned_integer | col_name | formula} [ASC | DESC] ,...] [LIMIT [offset,] row_count | row_count OFFSET offset] [PROCEDURE procedure_name(argument_list)] [FOR UPDATE | LOCK IN SHARE MODE]] |
SELECT
is used to retrieve rows selected from one or more tables.
Each select_expression
indicates a column you want to retrieve.
SELECT
may also be used to retrieve rows computed without reference to
any table.
For example:
mysql> SELECT 1 + 1; -> 2 |
All clauses used must be given in exactly the order shown above. For example,
a HAVING
clause must come after any GROUP BY
clause and before
any ORDER BY
clause.
SELECT
expression may be given an alias using AS alias_name
.
The alias is used as the expression's column name and can be used with
ORDER BY
or HAVING
clauses. For example:
mysql> SELECT CONCAT(last_name,', ',first_name) AS full_name FROM mytable ORDER BY full_name; |
The AS
keyword is optional when aliasing a SELECT
expression.
The preceding example could have been written like this:
mysql> SELECT CONCAT(last_name,', ',first_name) full_name FROM mytable ORDER BY full_name; |
Because the AS
is optional, a subtle problem can occur
if you forget the comma between two SELECT
expressions: MySQL will
interpret the second as an alias name. For example, in the following
statement, columnb
is treated as an alias name:
mysql> SELECT columna columnb FROM mytable; |
WHERE
clause,
because the column value may not yet be determined when the
WHERE
clause is executed.
See section Problems with alias
.
FROM table_references
clause indicates the tables from which to
retrieve rows. If you name more than one table, you are performing a
join. For information on join syntax, see JOIN
.
For each table specified, you may optionally specify an alias.
table_name [[AS] alias] [[USE INDEX (key_list)] | [IGNORE INDEX (key_list)] | FORCE INDEX (key_list)]] |
As of MySQL Version 3.23.12, you can give hints about which
index MySQL should use when retrieving information from a
table. This is useful if EXPLAIN
shows that MySQL is
using the wrong index from the list of possible indexes. By specifying
USE INDEX (key_list)
, you can tell MySQL to use only one of the
possible indexes to find rows in the table. The alternative syntax
IGNORE INDEX (key_list)
can be used to tell MySQL to not use some
particular index.
In MySQL 4.0.9 you can also use FORCE INDEX
. This acts likes
USE INDEX (key_list)
but with the addition that a table scan
is assumed to be VERY expensive. In other words a table scan will
only be used if there is no way to use one of the given index to
find rows in the table.
USE/IGNORE/FORCE KEY
are synonyms for USE/IGNORE/FORCE INDEX
.
In MySQL 4.0.14 you can use SET MAX_SEEKS_FOR_KEY=#
as an
alternative way to force MySQL to prefer key scans instead of table scans.
tbl_name
(within the current database),
or as dbname.tbl_name
to explicitly specify a database.
You can refer to a column as col_name
, tbl_name.col_name
, or
db_name.tbl_name.col_name
. You need not specify a tbl_name
or
db_name.tbl_name
prefix for a column reference in a SELECT
statement unless the reference would be ambiguous. See Database, Table, Index, Column, and Alias Names,
for examples of ambiguity that require the more explicit column reference
forms.
DUAL
as a dummy
table name, in situations where no tables are referenced. This is purely
compatibility feature, some other servers require this syntax.
mysql> SELECT 1 + 1 FROM DUAL; -> 2 |
tbl_name [AS] alias_name
:
mysql> SELECT t1.name, t2.salary FROM employee AS t1, info AS t2 -> WHERE t1.name = t2.name; mysql> SELECT t1.name, t2.salary FROM employee t1, info t2 -> WHERE t1.name = t2.name; |
ORDER BY
and
GROUP BY
clauses using column names, column aliases, or column
positions. Column positions begin with 1:
mysql> SELECT college, region, seed FROM tournament -> ORDER BY region, seed; mysql> SELECT college, region AS r, seed AS s FROM tournament -> ORDER BY r, s; mysql> SELECT college, region, seed FROM tournament -> ORDER BY 2, 3; |
To sort in reverse order, add the DESC
(descending) keyword to the
name of the column in the ORDER BY
clause that you are sorting by.
The default is ascending order; this may be specified explicitly using
the ASC
keyword.
WHERE
clause, you can use any of the functions that
MySQL supports, except for aggregate (summary) functions.
See section Functions for Use in SELECT
and WHERE
Clauses.
HAVING
clause can refer to any column or alias named in the
select_expression
. It is applied nearly last, just before items are
sent to the client, with no optimisation. (LIMIT
is applied after
HAVING
.) Don't use HAVING
for items that
should be in the WHERE
clause. For example, do not write this:
mysql> SELECT col_name FROM tbl_name HAVING col_name > 0; |
Write this instead:
mysql> SELECT col_name FROM tbl_name WHERE col_name > 0; |
In MySQL Version 3.22.5 or later, you can also write queries like this:
mysql> SELECT user,MAX(salary) FROM users -> GROUP BY user HAVING MAX(salary)>10; |
In older MySQL versions, you can write this instead:
mysql> SELECT user,MAX(salary) AS sum FROM users -> group by user HAVING sum>10; |
DISTINCT
, DISTINCTROW
and ALL
specify
whether duplicate rows should be returned. The default is (ALL
),
all matching rows are returned. DISTINCT
and DISTINCTROW
are synonyms and specify that duplicate rows in the result set should
be removed.
STRAIGHT_JOIN
, HIGH_PRIORITY
, and options beginning with
SQL_
are MySQL extensions to SQL-99.
STRAIGHT_JOIN
forces the optimiser to join the tables in the order in
which they are listed in the FROM
clause. You can use this to speed up
a query if the optimiser joins the tables in non-optimal order.
See section EXPLAIN
.
HIGH_PRIORITY
will give the SELECT
higher priority than
a statement that updates a table. You should only use this for queries
that are very fast and must be done at once. A SELECT HIGH_PRIORITY
query will run if the table is locked for read even if there is an update
statement that is waiting for the table to be free.
SQL_BIG_RESULT
can be used with GROUP BY
or DISTINCT
to tell the optimiser that the result set will have many rows. In this case,
MySQL will directly use disk-based temporary tables if needed.
MySQL will also, in this case, prefer sorting to doing a
temporary table with a key on the GROUP BY
elements.
SQL_BUFFER_RESULT
forces the result to be put into a temporary
table. This helps MySQL free the table locks early and helps
in cases where it takes a long time to send the result set to the client.
SQL_SMALL_RESULT
, a MySQL-specific option, can be used
with GROUP BY
or DISTINCT
to tell the optimiser that the
result set will be small. In this case, MySQL uses fast
temporary tables to store the resulting table instead of using sorting. In
MySQL Version 3.23 this shouldn't normally be needed.
SQL_CALC_FOUND_ROWS
(version 4.0.0 and up) tells MySQL to calculate
how many rows there would be in the result set, disregarding any
LIMIT
clause.
The number of rows can then be retrieved with SELECT FOUND_ROWS()
.
See section Miscellaneous Functions.
Please note that in versions prior to 4.1.0 this does not work with
LIMIT 0
, which is optimised to return instantly (resulting in a
row count of 0). See section How MySQL Optimises LIMIT
.
SQL_CACHE
tells MySQL to store the query result in the query cache
if you are using QUERY_CACHE_TYPE=2
(DEMAND
).
See section MySQL Query Cache. In case of query with UNIONs and/or subqueries this
option will take effect to be used in any SELECT of the query.
SQL_NO_CACHE
tells MySQL not to store the query result
in the query cache. See section MySQL Query Cache. In case of query with UNIONs
and/or subqueries this option will take effect to be used in any SELECT
of the query.
GROUP BY
, the output rows will be sorted according to the
GROUP BY
as if you had an ORDER BY
over all the fields
in the GROUP BY
. MySQL has extended the GROUP BY
clause so that
you can also specify ASC
and DESC
after columns named in the
clause:
SELECT a,COUNT(b) FROM test_table GROUP BY a DESC |
GROUP BY
to allow you to
select fields that are not mentioned in the GROUP BY
clause.
If you are not getting the results you expect from your query, please
read the GROUP BY
description.
See section Functions and Modifiers for Use with GROUP BY
Clauses.
GROUP BY
allows a WITH ROLLUP
modifier.
See section GROUP BY
Modifiers.
LIMIT
clause can be used to constrain the number of rows returned
by the SELECT
statement. LIMIT
takes one or two numeric
arguments, which must be integer constants.
With one argument, the value specifies the number of rows to return from the beginning of the result set. With two arguments, the first specifies the offset of the first row to return, the second specifies the maximum number of rows to return. The offset of the initial row is 0 (not 1):
To be compatible with PostgreSQL MySQL also supports the syntax:
LIMIT row_count OFFSET offset
.
mysql> SELECT * FROM table LIMIT 5,10; # Retrieve rows 6-15 |
To retrieve all rows from a certain offset up to the end of the result set, you can use -1 for the second parameter:
mysql> SELECT * FROM table LIMIT 95,-1; # Retrieve rows 96-last. |
If one argument is given, it indicates the maximum number of rows to return:
mysql> SELECT * FROM table LIMIT 5; # Retrieve first 5 rows |
In other words, LIMIT n
is equivalent to LIMIT 0,n
.
SELECT ... INTO OUTFILE 'file_name'
form of SELECT
writes
the selected rows to a file. The file is created on the server host and
cannot already exist (among other things, this prevents database tables and
files such as `/etc/passwd' from being destroyed). You must have the
FILE
privilege on the server host to use this form of SELECT
.
The SELECT ... INTO OUTFILE
statement is intended primarily to let you very
quickly dump a table on the server machine. If you want to create the
resulting file on some other host than the server host, you can't use
SELECT ... INTO OUTFILE
. In this case you should instead use some
client program like mysqldump --tab
or mysql -e "SELECT
..." > outfile
to generate the file.
SELECT ... INTO OUTFILE
is the complement of LOAD DATA
INFILE
; the syntax for the export_options
part of the statement
consists of the same FIELDS
and LINES
clauses that are used
with the LOAD DATA INFILE
statement.
See section LOAD DATA
.
In the resulting text file, only the following characters are escaped by
the ESCAPED BY
character:
ESCAPED BY
character
FIELDS TERMINATED BY
LINES TERMINATED BY
Additionally, ASCII 0
is converted to ESCAPED BY
followed by 0
(ASCII 48
).
The reason for the above is that you must escape any FIELDS
TERMINATED BY
, ESCAPED BY
, or LINES TERMINATED BY
characters to reliably be able to read the file back. ASCII 0
is
escaped to make it easier to view with some pagers.
As the resulting file doesn't have to conform to the SQL syntax, nothing else need be escaped.
Here follows an example of getting a file in the format used by many old programs.
SELECT a,b,a+b INTO OUTFILE "/tmp/result.text" FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY "\n" FROM test_table; |
INTO DUMPFILE
instead of INTO OUTFILE
, MySQL
will only write one row into the file, without any column or line
terminations and without any escaping. This is useful if you want to
store a BLOB
value in a file.
INTO OUTFILE
and INTO
DUMPFILE
will be writeable by all users on the server host! The reason is that the
MySQL server can't create a file that is owned by anyone else
than the user it's running as (you should never run mysqld
as
root
).
The file thus must be world-writeable so that you can manipulate its contents.
PROCEDURE
clause names a procedure that should process the data
in the result set. For an example, see Procedure Analyse.
FOR UPDATE
on a storage engine with page or row locks,
the examined rows are write locked until the end of the current
transaction.
6.4.1.1 JOIN Syntax | ||
6.4.1.2 UNION Syntax |
JOIN
Syntax MySQL supports the following JOIN
syntaxes for use in
SELECT
statements:
table_reference, table_reference table_reference [CROSS] JOIN table_reference table_reference INNER JOIN table_reference join_condition table_reference STRAIGHT_JOIN table_reference table_reference LEFT [OUTER] JOIN table_reference join_condition table_reference LEFT [OUTER] JOIN table_reference table_reference NATURAL [LEFT [OUTER]] JOIN table_reference { OJ table_reference LEFT OUTER JOIN table_reference ON conditional_expr } table_reference RIGHT [OUTER] JOIN table_reference join_condition table_reference RIGHT [OUTER] JOIN table_reference table_reference NATURAL [RIGHT [OUTER]] JOIN table_reference |
Where table_reference
is defined as:
table_name [[AS] alias] [[USE INDEX (key_list)] | [IGNORE INDEX (key_list)] | [FORCE INDEX (key_list)]] |
and join_condition
is defined as:
ON conditional_expr | USING (column_list) |
You should generally not have any conditions in the ON
part that are
used to restrict which rows you have in the result set (there are exceptions
to this rule). If you want to restrict which rows should be in the result,
you have to do this in the WHERE
clause.
Note that in versions before Version 3.23.17, the INNER JOIN
didn't
take a join_condition
!
The last LEFT OUTER JOIN
syntax shown above exists only for
compatibility with ODBC:
tbl_name AS alias_name
or
tbl_name alias_name
:
mysql> SELECT t1.name, t2.salary FROM employee AS t1, info AS t2 -> WHERE t1.name = t2.name; |
ON
conditional is any conditional of the form that may be used in
a WHERE
clause.
ON
or
USING
part in a LEFT JOIN
, a row with all columns set to
NULL
is used for the right table. You can use this fact to find
records in a table that have no counterpart in another table:
mysql> SELECT table1.* FROM table1 -> LEFT JOIN table2 ON table1.id=table2.id -> WHERE table2.id IS NULL; |
This example finds all rows in table1
with an id
value that is
not present in table2
(that is, all rows in table1
with no
corresponding row in table2
). This assumes that table2.id
is
declared NOT NULL
, of course. See section How MySQL Optimises LEFT JOIN
and RIGHT JOIN
.
USING
(column_list)
clause names a list of columns that must
exist in both tables. A USING
clause such as:
A LEFT JOIN B USING (C1,C2,C3,...) |
is defined to be semantically identical to an ON
expression like
this:
A.C1=B.C1 AND A.C2=B.C2 AND A.C3=B.C3,... |
NATURAL [LEFT] JOIN
of two tables is defined to be
semantically equivalent to an INNER JOIN
or a LEFT JOIN
with a USING
clause that names all columns that exist in both
tables.
INNER JOIN
and ,
(comma) are semantically equivalent.
Both produce a Cartesian product between the tables used unless
you specify how they should be linked using a WHERE
clause.
RIGHT JOIN
works analogously as LEFT JOIN
. To keep code
portable across databases, it's recommended to use LEFT JOIN
instead of RIGHT JOIN
.
STRAIGHT_JOIN
is identical to JOIN
, except that the left table
is always read before the right table. This can be used for those (few)
cases where the join optimiser puts the tables in the wrong order.
EXPLAIN
shows that MySQL is
using the wrong index from the list of possible indexes. By specifying
USE INDEX (key_list)
, you can tell MySQL to use only one of the
possible indexes to find rows in the table. The alternative syntax
IGNORE INDEX (key_list)
can be used to tell MySQL to not use some
particular index.
In MySQL 4.0.9 you can also use FORCE INDEX
. This acts likes
USE INDEX (key_list)
but with the addition that a table scan
is assumed to be VERY expensive. In other words a table scan will
only be used if there is no way to use one of the given index to
find rows in the table.
USE/IGNORE KEY
are synonyms for USE/IGNORE INDEX
.
Some examples:
mysql> SELECT * FROM table1,table2 WHERE table1.id=table2.id; mysql> SELECT * FROM table1 LEFT JOIN table2 ON table1.id=table2.id; mysql> SELECT * FROM table1 LEFT JOIN table2 USING (id); mysql> SELECT * FROM table1 LEFT JOIN table2 ON table1.id=table2.id -> LEFT JOIN table3 ON table2.id=table3.id; mysql> SELECT * FROM table1 USE INDEX (key1,key2) -> WHERE key1=1 AND key2=2 AND key3=3; mysql> SELECT * FROM table1 IGNORE INDEX (key3) -> WHERE key1=1 AND key2=2 AND key3=3; |
See section LEFT JOIN
optimisation.
UNION
Syntax SELECT ... UNION [ALL] SELECT ... [UNION SELECT ...] |
UNION
is implemented in MySQL 4.0.0.
UNION
is used to combine the result from many SELECT
statements into one result set.
The columns listed in the select_expression portion of the SELECT
should have the same type. The column names used in the first
SELECT
query will be used as the column names for the results
returned.
The SELECT
commands are normal select commands, but with the following
restrictions:
SELECT
command can have INTO OUTFILE
.
If you don't use the keyword ALL
for the UNION
, all
returned rows will be unique, as if you had done a DISTINCT
for
the total result set. If you specify ALL
, then you will get all
matching rows from all the used SELECT
statements.
If you want to use an ORDER BY
for the total UNION
result,
you should use parentheses:
(SELECT a FROM table_name WHERE a=10 AND B=1 ORDER BY a LIMIT 10) UNION (SELECT a FROM table_name WHERE a=11 AND B=2 ORDER BY a LIMIT 10) ORDER BY a; |
HANDLER
Syntax HANDLER tbl_name OPEN [ AS alias ] HANDLER tbl_name READ index_name { = | >= | <= | < } (value1,value2,...) [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name READ index_name { FIRST | NEXT | PREV | LAST } [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name READ { FIRST | NEXT } [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name CLOSE |
The HANDLER
statement provides direct access to the MyISAM
table
storage engine interface.
The first form of HANDLER
statement opens a table, making
it accessible via subsequent HANDLER ... READ
statements.
This table object is not shared by other threads and will not be closed
until the thread calls HANDLER tbl_name CLOSE
or the thread dies.
The second form fetches one row (or more, specified by LIMIT
clause)
where the index specified complies to the condition and WHERE
condition is met. If the index consists of several parts (spans over
several columns) the values are specified in comma-separated list,
providing values only for few first columns is possible.
The third form fetches one row (or more, specified by LIMIT
clause)
from the table in index order, matching WHERE
condition.
The fourth form (without index specification) fetches one row (or more, specified
by LIMIT
clause) from the table in natural row order (as stored
in datafile) matching WHERE
condition. It is faster than
HANDLER tbl_name READ index_name
when a full table scan is desired.
HANDLER ... CLOSE
closes a table that was opened with
HANDLER ... OPEN
.
Note: If you're using HANDLER
interface for PRIMARY KEY
you should
remember to quote the keyword PRIMARY with backticks:
HANDLER tbl READ `PRIMARY` > (...)
HANDLER
is a somewhat low-level statement. For example, it does
not provide consistency. That is, HANDLER ... OPEN
does NOT
take a snapshot of the table, and does NOT lock the table. This
means that after a HANDLER ... OPEN
is issued, table data can be
modified (by this or any other thread) and these modifications may appear
only partially in HANDLER ... NEXT
or HANDLER ... PREV
scans.
The reasons to use this interface instead of normal SQL are:
SELECT
because:
HANDLER OPEN
.
INSERT
Syntax INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name [(col_name,...)] VALUES ((expression | DEFAULT),...),(...),... [ ON DUPLICATE KEY UPDATE col_name=expression, ... ] or INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name [(col_name,...)] SELECT ... or INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name SET col_name=(expression | DEFAULT), ... [ ON DUPLICATE KEY UPDATE col_name=expression, ... ] |
INSERT
inserts new rows into an existing table. The INSERT
... VALUES
form of the statement inserts rows based on explicitly
specified values. The INSERT ... SELECT
form inserts rows
selected from another table or tables. The INSERT ... VALUES
form with multiple value lists is supported in MySQL Version
3.22.5 or later. The col_name=expression
syntax is supported in
MySQL Version 3.22.10 or later.
tbl_name
is the table into which rows should be inserted. The column
name list or the SET
clause indicates which columns the statement
specifies values for:
INSERT ... VALUES
or INSERT
... SELECT
, values for all columns in the table must be provided in the
VALUES()
list or by the SELECT
. If you don't know the order of
the columns in the table, use DESCRIBE tbl_name
to find out.
CREATE TABLE
.
You can also use the keyword DEFAULT
to set a column to its
default value. (New in MySQL 4.0.3.) This makes it easier to write
INSERT
statements that assign values to all but a few columns,
because it allows you to avoid writing an incomplete VALUES()
list
(a list that does not include a value for each column in the table).
Otherwise, you would have to write out the list of column names
corresponding to each value in the VALUES()
list.
MySQL always has a default value for all fields. This is something that is imposed on MySQL to be able to work with both transactional and non-transactional tables.
Our view is that checking of fields content should be done in the application and not in the database server.
expression
may refer to any column that was set earlier in a value
list. For example, you can say this:
mysql> INSERT INTO tbl_name (col1,col2) VALUES(15,col1*2); |
But not this:
mysql> INSERT INTO tbl_name (col1,col2) VALUES(col2*2,15); |
LOW_PRIORITY
, execution of the
INSERT
is delayed until no other clients are reading from the
table. This includes other clients that began reading while existing
clients are reading, and while the INSERT LOW_PRIORITY
statement
is waiting. It is possible therefore for a client that issues an
INSERT LOW_PRIORITY
statement to wait for a very long time (or
even forever) in a read-heavy environment.
(This is in contrast to INSERT DELAYED
, which lets the client
continue at once.) See section INSERT DELAYED
Syntax. Note that LOW_PRIORITY
should normally not be used with MyISAM
tables as this disables
concurrent inserts. See section MyISAM
Tables.
IGNORE
in an INSERT
with many
rows, any rows that duplicate an existing PRIMARY
or UNIQUE
key in the table are ignored and are not inserted. If you do not specify
IGNORE
, the insert is aborted if there is any row that duplicates an
existing key value. You can determine with the C API function
mysql_info()
how many rows were inserted into the table.
ON DUPLICATE KEY UPDATE
clause (new in MySQL 4.1.0), and
a row is inserted that would cause a duplicate value in a PRIMARY
or
UNIQUE
key, an UPDATE
of the old row is performed. For
example, the command:
mysql> INSERT INTO table (a,b,c) VALUES (1,2,3) --> ON DUPLICATE KEY UPDATE c=c+1; |
in case of column a
is declared as UNIQUE
and already
holds 1
once, would be identical to the
mysql> UPDATE table SET c=c+1 WHERE a=1; |
Note: that if column b
is unique too, the
UPDATE
command would be written as
mysql> UPDATE table SET c=c+1 WHERE a=1 OR b=2 LIMIT 1; |
and if a=1 OR b=2
matches several rows, only one row
will be updated! In general, one should try to avoid using
ON DUPLICATE KEY
clause on tables with multiple UNIQUE
keys.
Since MySQL 4.1.1 one can use function VALUES(col_name)
to refer to the column value in the INSERT
part of the
INSERT ... UPDATE
command - that is the value that would be
inserted if there would be no duplicate key conflict. This function
especially useful in multiple-row inserts. Naturally VALUES()
function is only meaningful in INSERT ... UPDATE
command
and returns NULL
otherwise.
Example:
mysql> INSERT INTO table (a,b,c) VALUES (1,2,3),(4,5,6) --> ON DUPLICATE KEY UPDATE c=VALUES(a)+VALUES(b); |
The command above is identical to
mysql> INSERT INTO table (a,b,c) VALUES (1,2,3) --> ON DUPLICATE KEY UPDATE c=3; mysql> INSERT INTO table (a,b,c) VALUES (4,5,6) --> ON DUPLICATE KEY UPDATE c=9; |
When one uses ON DUPLICATE KEY UPDATE
,
the DELAYED
option is ignored.
DONT_USE_DEFAULT_FIELDS
option, INSERT
statements generate an error unless you explicitly
specify values for all columns that require a non-NULL
value.
See section configure
options.
AUTO_INCREMENT
column
with the mysql_insert_id
function.
See section mysql_insert_id()
.
If you use INSERT ... SELECT
or an INSERT ... VALUES
statement with multiple value lists, you can use the C API function
mysql_info()
to get information about the query. The format of the
information string is shown here:
Records: 100 Duplicates: 0 Warnings: 0 |
Duplicates
indicates the number of rows that couldn't be inserted
because they would duplicate some existing unique index value.
Warnings
indicates the number of attempts to insert column values that
were problematic in some way. Warnings can occur under any of the following
conditions:
NULL
into a column that has been declared NOT NULL
.
The column is set to the default value appropriate for the column type.
This is 0
for numeric types, the empty string (''
) for
string types, and the "zero" value for date and time types.
'10.34 a'
. The trailing
garbage is stripped and the remaining numeric part is inserted. If the value
doesn't make sense as a number at all, the column is set to 0
.
CHAR
, VARCHAR
, TEXT
, or
BLOB
column that exceeds the column's maximum length. The value is
truncated to the column's maximum length.
6.4.3.1 INSERT ... SELECT Syntax |
INSERT ... SELECT
Syntax INSERT [LOW_PRIORITY] [IGNORE] [INTO] tbl_name [(column list)] SELECT ... |
With INSERT ... SELECT
statement you can quickly insert many rows
into a table from one or many tables.
INSERT INTO tblTemp2 (fldID) SELECT tblTemp1.fldOrder_ID FROM tblTemp1 WHERE tblTemp1.fldOrder_ID > 100; |
The following conditions hold for an INSERT ... SELECT
statement:
INSERT
statement cannot appear in the
FROM
clause of the SELECT
part of the query.
(The problem is that the SELECT
possibly would
find records that were inserted earlier during the same run. When using
subquery clauses, the situation could easily be very confusing.)
AUTO_INCREMENT
columns work as usual.
mysql_info()
to get information about
the query. See section INSERT
Syntax.
INSERT ... SELECT
.
You can use REPLACE
instead of INSERT
to overwrite old rows.
REPLACE
is the counterpart to INSERT IGNORE
in the treatment
of new rows that contain unique key values that duplicate old rows:
The new rows are used to replace the old rows rather than being discarded.
INSERT DELAYED
Syntax INSERT DELAYED ... |
The DELAYED
option for the INSERT
statement is a
MySQL-specific option that is very useful if you have clients
that can't wait for the INSERT
to complete. This is a common
problem when you use MySQL for logging and you also
periodically run SELECT
and UPDATE
statements that take a
long time to complete. DELAYED
was introduced in MySQL
Version 3.22.15. It is a MySQL extension to SQL-92.
INSERT DELAYED
only works with ISAM
and MyISAM
tables. Note that as MyISAM
tables supports concurrent
SELECT
and INSERT
, if there is no free blocks in the
middle of the datafile, you very seldom need to use INSERT
DELAYED
with MyISAM
. See section MyISAM
Tables.
When you use INSERT DELAYED
, the client will get an OK at once
and the row will be inserted when the table is not in use by any other thread.
Another major benefit of using INSERT DELAYED
is that inserts
from many clients are bundled together and written in one block. This is much
faster than doing many separate inserts.
Note that currently the queued rows are only stored in memory until they are
inserted into the table. This means that if you kill mysqld
the hard way (kill -9
) or if mysqld
dies unexpectedly, any
queued rows that weren't written to disk are lost!
The following describes in detail what happens when you use the
DELAYED
option to INSERT
or REPLACE
. In this
description, the "thread" is the thread that received an INSERT
DELAYED
command and "handler" is the thread that handles all
INSERT DELAYED
statements for a particular table.
DELAYED
statement for a table, a handler
thread is created to process all DELAYED
statements for the table, if
no such handler already exists.
DELAYED
lock already; if not, it tells the handler thread to do so. The
DELAYED
lock can be obtained even if other threads have a READ
or WRITE
lock on the table. However, the handler will wait for all
ALTER TABLE
locks or FLUSH TABLES
to ensure that the table
structure is up to date.
INSERT
statement, but instead of writing
the row to the table, it puts a copy of the final row into a queue that
is managed by the handler thread. Any syntax errors are noticed by the
thread and reported to the client program.
AUTO_INCREMENT
value for the resulting row; it can't obtain them from the server, because
the INSERT
returns before the insert operation has been completed. If
you use the C API, the mysql_info()
function doesn't return anything
meaningful, for the same reason.
delayed_insert_limit
rows are written, the handler checks
whether any SELECT
statements are still pending. If so, it
allows these to execute before continuing.
INSERT DELAYED
commands are received within
delayed_insert_timeout
seconds, the handler terminates.
delayed_queue_size
rows are pending already in a
specific handler queue, the thread requesting INSERT DELAYED
waits until there is room in the queue. This is done to ensure that
the mysqld
server doesn't use all memory for the delayed memory
queue.
delayed_insert
in the Command
column. It will
be killed if you execute a FLUSH TABLES
command or kill it with
KILL thread_id
. However, it will first store all queued rows into the
table before exiting. During this time it will not accept any new
INSERT
commands from another thread. If you execute an INSERT
DELAYED
command after this, a new handler thread will be created.
Note that the above means that INSERT DELAYED
commands have higher
priority than normal INSERT
commands if there is an INSERT
DELAYED
handler already running! Other update commands will have to wait
until the INSERT DELAYED
queue is empty, someone kills the handler
thread (with KILL thread_id
), or someone executes FLUSH TABLES
.
INSERT
DELAYED
commands:
Variable | Meaning |
| Number of handler threads |
| Number of rows written with |
| Number of rows waiting to be written |
You can view these variables by issuing a SHOW STATUS
statement or
by executing a mysqladmin extended-status
command.
Note that INSERT DELAYED
is slower than a normal INSERT if the
table is not in use. There is also the additional overhead for the
server to handle a separate thread for each table on which you use
INSERT DELAYED
. This means that you should only use INSERT
DELAYED
when you are really sure you need it!
UPDATE
Syntax UPDATE [LOW_PRIORITY] [IGNORE] tbl_name SET col_name1=expr1 [, col_name2=expr2 ...] [WHERE where_definition] [ORDER BY ...] [LIMIT row_count] or UPDATE [LOW_PRIORITY] [IGNORE] tbl_name [, tbl_name ...] SET col_name1=expr1 [, col_name2=expr2 ...] [WHERE where_definition] |
UPDATE
updates columns in existing table rows with new values.
The SET
clause indicates which columns to modify and the values
they should be given. The WHERE
clause, if given, specifies
which rows should be updated. Otherwise, all rows are updated. If the
ORDER BY
clause is specified, the rows will be updated in the
order that is specified.
If you specify the keyword LOW_PRIORITY
, execution of the
UPDATE
is delayed until no other clients are reading from the table.
If you specify the keyword IGNORE
, the update statement will not
abort even if we get duplicate key errors during the update. Rows that
would cause conflicts will not be updated.
If you access a column from tbl_name
in an expression,
UPDATE
uses the current value of the column. For example, the
following statement sets the age
column to one more than its
current value:
mysql> UPDATE persondata SET age=age+1; |
UPDATE
assignments are evaluated from left to right. For example, the
following statement doubles the age
column, then increments it:
mysql> UPDATE persondata SET age=age*2, age=age+1; |
If you set a column to the value it currently has, MySQL notices this and doesn't update it.
UPDATE
returns the number of rows that were actually changed.
In MySQL Version 3.22 or later, the C API function mysql_info()
returns the number of rows that were matched and updated and the number of
warnings that occurred during the UPDATE
.
If you update a column that has been declared NOT NULL
by
setting to NULL
, the column is set to the default value appropriate
for the column type and the warning count is incremented. The default
value is is 0
for numeric types, the empty string (''
)
for string types, and the "zero" value for date and time types.
Starting from MySQL version 3.23, you can use LIMIT row_count
to ensure
that only a given number of rows are changed. MySQL will stop the
update as soon as it has found LIMIT
rows that satisfies the
WHERE
clause, independent of the rows changed content or not.
If an ORDER BY
clause is used (available from MySQL 4.0.0), the rows
will be updated in that order. This is really only useful in conjunction
with LIMIT
.
Starting with MySQL Version 4.0.4, you can also perform UPDATE
operations that cover multiple tables:
UPDATE items,month SET items.price=month.price WHERE items.id=month.id; |
Note: you can not use ORDER BY
or LIMIT
with multi-table
UPDATE
.
DELETE
Syntax DELETE [LOW_PRIORITY] [QUICK] FROM table_name [WHERE where_definition] [ORDER BY ...] [LIMIT row_count] or DELETE [LOW_PRIORITY] [QUICK] table_name[.*] [, table_name[.*] ...] FROM table-references [WHERE where_definition] or DELETE [LOW_PRIORITY] [QUICK] FROM table_name[.*] [, table_name[.*] ...] USING table-references [WHERE where_definition] |
DELETE
deletes rows from table_name
that satisfy the condition
given by where_definition
, and returns the number of records deleted.
If you issue a DELETE
with no WHERE
clause, all rows are
deleted. If you do this in AUTOCOMMIT
mode, this works as
TRUNCATE
. See section TRUNCATE
. In MySQL 3.23,
DELETE
without a WHERE
clause will return zero as the number
of affected records.
If you really want to know how many records are deleted when you are deleting
all rows, and are willing to suffer a speed penalty, you can use a
DELETE
statement of this form:
mysql> DELETE FROM table_name WHERE 1>0; |
Note that this is much slower than DELETE FROM table_name
with no
WHERE
clause, because it deletes rows one at a time.
If you specify the keyword LOW_PRIORITY
, execution of the
DELETE
is delayed until no other clients are reading from the table.
For MyISAM tables,
if you specify the word QUICK
then the storage engine will not
merge index leaves during delete, which may speed up certain kind of
deletes.
The speed of delete operations may also be affected by factors discussed in
Speed of DELETE
Queries.
In MyISAM
tables, deleted records are maintained in a linked list and
subsequent INSERT
operations reuse old record positions. To
reclaim unused space and reduce file-sizes, use the OPTIMIZE
TABLE
statement or the myisamchk
utility to reorganise tables.
OPTIMIZE TABLE
is easier, but myisamchk
is faster. See
OPTIMIZE TABLE
and Table Optimisation.
The first multi-table delete format is supported starting from MySQL 4.0.0. The second multi-table delete format is supported starting from MySQL 4.0.2.
The idea is that only matching rows from the tables listed
before the FROM
or before the USING
clause are
deleted. The effect is that you can delete rows from many tables at the
same time and also have additional tables that are used for searching.
The .*
after the table names is there just to be compatible with
Access
:
DELETE t1,t2 FROM t1,t2,t3 WHERE t1.id=t2.id AND t2.id=t3.id or DELETE FROM t1,t2 USING t1,t2,t3 WHERE t1.id=t2.id AND t2.id=t3.id |
In the above case we delete matching rows just from tables t1
and
t2
.
If an ORDER BY
clause is used (available from MySQL 4.0.0), the rows
will be deleted in that order. This is really only useful in conjunction
with LIMIT
. For example:
DELETE FROM somelog WHERE user = 'jcole' ORDER BY timestamp LIMIT 1 |
This will delete the oldest entry (by timestamp
) where the row matches
the WHERE
clause.
The MySQL-specific LIMIT row_count
option to DELETE
tells
the server the maximum number of rows to be deleted before control is
returned to the client. This can be used to ensure that a specific
DELETE
command doesn't take too much time. You can simply repeat
the DELETE
command until the number of affected rows is less than
the LIMIT
value.
From MySQL 4.0, you can specify multiple tables in the DELETE
statement to delete rows from one or more tables depending on a particular
condition in multiple tables. However, you can not use ORDER BY
or LIMIT
in a multi-table DELETE
.
TRUNCATE
Syntax TRUNCATE TABLE table_name |
In 3.23 TRUNCATE TABLE
is mapped to
COMMIT ; DELETE FROM table_name
. See section DELETE
Syntax.
TRUNCATE TABLE
differs from DELETE FROM ...
in the following ways:
TRUNCATE TABLE
is an Oracle SQL extension.
This statement was added in MySQL 3.23.28, although from 3.23.28
to 3.23.32, the keyword TABLE
must be omitted.
REPLACE
Syntax REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name [(col_name,...)] VALUES (expression,...),(...),... or REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name [(col_name,...)] SELECT ... or REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name SET col_name=expression, col_name=expression,... |
REPLACE
works exactly like INSERT
, except that if an old
record in the table has the same value as a new record on a UNIQUE
index or PRIMARY KEY
, the old record is deleted before the new
record is inserted.
See section INSERT
.
In other words, you can't access the values of the old row from a
REPLACE
statement. In some old MySQL versions it appeared that
you could do this, but that was a bug that has been corrected.
To be able to use REPLACE
you must have INSERT
and
DELETE
privileges for the table.
When you use a REPLACE
command, mysql_affected_rows()
will return 2 if the new row replaced an old row. This is because
one row was inserted after the duplicate was deleted.
This fact makes it easy to determine whether REPLACE
added
or replaced a row: check whether the affected-rows value is 1 (added)
or 2 (replaced).
Note that unless the table has a UNIQUE
index or PRIMARY KEY
,
using a REPLACE
command makes no sense. It becomes equivalent to
INSERT
, because there is no index to be used to determine whether a new
row duplicates another.
Here follows the used algorithm in more detail:
(This is also used with LOAD DATA ... REPLACE
.
- Insert the row into the table - While duplicate key error for primary or unique key - Revert changed keys - Read conflicting row from the table through the duplicate key value - Delete conflicting row - Try again to insert the original primary key and unique keys in the tree |
LOAD DATA INFILE
Syntax LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name.txt' [REPLACE | IGNORE] INTO TABLE tbl_name [FIELDS [TERMINATED BY '\t'] [[OPTIONALLY] ENCLOSED BY ''] [ESCAPED BY '\\' ] ] [LINES [STARTING BY ''] [TERMINATED BY '\n'] ] [IGNORE number LINES] [(col_name,...)] |
The LOAD DATA INFILE
statement reads rows from a text file into a
table at a very high speed. If the LOCAL
keyword is specified, it is
interpreted with respect to the client end of the connection. When
LOCAL
is specified, the file is read by the client program on the client
host and sent to the server. If LOCAL
is not specified, the
file must be located on the server host and is read directly by the server.
(LOCAL
is available in MySQL Version 3.22.6 or later.)
For security reasons, when reading text files located on the server, the
files must either reside in the database directory or be readable by all.
Also, to use LOAD DATA INFILE
on server files, you must have the
FILE
privilege on the server host.
See section Privileges Provided by MySQL.
In MySQL 3.23.49 and MySQL 4.0.2 LOCAL
will only work if you have
not started mysqld
with --local-infile=0
or if you
have not enabled your client to support LOCAL
. See section Security issues with LOAD DATA LOCAL
.
If you specify the keyword LOW_PRIORITY
, execution of the
LOAD DATA
statement is delayed until no other clients are reading
from the table.
If you specify the keyword CONCURRENT
with a MyISAM
table,
then other threads can retrieve data from the table while LOAD
DATA
is executing. Using this option will of course affect the
performance of LOAD DATA
a bit even if no other thread is using
the table at the same time.
Using LOCAL
will be a bit slower than letting the server access the
files directly, because the contents of the file must be sent over the
connection by the client
to the server. On the other hand, you do not need the
FILE
privilege to load local files.
If you are using MySQL before Version 3.23.24 you can't read from a
FIFO with LOAD DATA INFILE
. If you need to read from a FIFO (for
example the output from gunzip), use LOAD DATA LOCAL INFILE
instead.
You can also load datafiles by using the mysqlimport
utility; it
operates by sending a LOAD DATA INFILE
command to the server. The
--local
option causes mysqlimport
to read datafiles from the
client host. You can specify the --compress
option to get better
performance over slow networks if the client and server support the
compressed protocol.
When locating files on the server host, the server uses the following rules:
Note that these rules mean a file named as `./myfile.txt' is read from
the server's data directory, whereas the same file named as `myfile.txt' is
read from the database directory of the current database. For example,
the following LOAD DATA
statement reads the file `data.txt'
from the database directory for db1
because db1
is the current
database, even though the statement explicitly loads the file into a
table in the db2
database:
mysql> USE db1; mysql> LOAD DATA INFILE "data.txt" INTO TABLE db2.my_table; |
The REPLACE
and IGNORE
keywords control handling of input
records that duplicate existing records on unique key values.
If you specify REPLACE
, input rows replace existing rows (in other
words rows that has the same value for a primary or unique index as an
existing row). See section REPLACE
Syntax.
If you specify IGNORE
, input rows that duplicate an existing row
on a unique key value are skipped. If you don't specify either option,
the behaviour depends on whether or not the LOCAL
keyword is specified.
Without LOCAL
, an error occurs when a duplicate key value is
found, and the rest of the text file is ignored. With LOCAL
,
the default behaviour is the same as if IGNORE
is specified;
this is because the server has no way to stop transmission of the file
in the middle of the operation.
If you want to ignore foreign key constraints during load you can do
SET FOREIGN_KEY_CHECKS=0
before executing LOAD DATA
.
If you use LOAD DATA INFILE
on an empty MyISAM
table, all
non-unique indexes are created in a separate batch (like in
REPAIR
). This normally makes LOAD DATA INFILE
much faster
when you have many indexes. Normally this is very fast, but in some
extreme cases you can create the indexes even faster by turning them off
with ALTER TABLE .. DISABLE KEYS
and use ALTER TABLE .. ENABLE
KEYS
to recreate the indexes.
See section Using myisamchk
for Table Maintenance and Crash Recovery.
LOAD DATA INFILE
is the complement of SELECT ... INTO OUTFILE
.
See section SELECT
.
To write data from a table to a file, use SELECT ... INTO OUTFILE
.
To read the file back into a table, use LOAD DATA INFILE
.
The syntax of the FIELDS
and LINES
clauses is the same for
both commands. Both clauses are optional, but FIELDS
must precede LINES
if both are specified.
If you specify a FIELDS
clause,
each of its subclauses (TERMINATED BY
, [OPTIONALLY] ENCLOSED
BY
, and ESCAPED BY
) is also optional, except that you must
specify at least one of them.
If you don't specify a FIELDS
clause, the defaults are the
same as if you had written this:
FIELDS TERMINATED BY '\t' ENCLOSED BY '' ESCAPED BY '\\' |
If you don't specify a LINES
clause, the default
is the same as if you had written this:
LINES TERMINATED BY '\n' |
Note: If you have generated the text file on a Windows system
you may have to change the above to: LINES TERMINATED BY '\r\n'
as Windows uses two characters as a line terminator. Some programs, like
wordpad
, may use \r
as a line terminator.
If all the lines you want to read in has a common prefix that you want
to skip, you can use LINES STARTING BY prefix_string
for this.
In other words, the defaults cause LOAD DATA INFILE
to act as follows
when reading input:
LINES STARTING BY prefix
is used, read until prefix is found
and start reading at character after prefix. If line doesn't include prefix
it will be skipped.
Conversely, the defaults cause SELECT ... INTO OUTFILE
to act as
follows when writing output:
Note that to write FIELDS ESCAPED BY '\\'
, you must specify two
backslashes for the value to be read as a single backslash.
The IGNORE number LINES
option can be used to ignore lines at
the start of the file. For example, you can use IGNORE 1 LINES
to skip over an initial header line containing column names:
mysql> LOAD DATA INFILE "/tmp/file_name" INTO TABLE test IGNORE 1 LINES; |
When you use SELECT ... INTO OUTFILE
in tandem with LOAD
DATA INFILE
to write data from a database into a file and then read
the file back into the database later, the field and line handling
options for both commands must match. Otherwise, LOAD DATA
INFILE
will not interpret the contents of the file properly. Suppose
you use SELECT ... INTO OUTFILE
to write a file with
fields delimited by commas:
mysql> SELECT * INTO OUTFILE 'data.txt' -> FIELDS TERMINATED BY ',' -> FROM ...; |
To read the comma-delimited file back in, the correct statement would be:
mysql> LOAD DATA INFILE 'data.txt' INTO TABLE table2 -> FIELDS TERMINATED BY ','; |
If instead you tried to read in the file with the statement shown here, it
wouldn't work because it instructs LOAD DATA INFILE
to look for
tabs between fields:
mysql> LOAD DATA INFILE 'data.txt' INTO TABLE table2 -> FIELDS TERMINATED BY '\t'; |
The likely result is that each input line would be interpreted as a single field.
LOAD DATA INFILE
can be used to read files obtained from
external sources, too. For example, a file in dBASE format will have
fields separated by commas and enclosed in double quotes. If lines in
the file are terminated by newlines, the command shown here
illustrates the field and line handling options you would use to load
the file:
mysql> LOAD DATA INFILE 'data.txt' INTO TABLE tbl_name -> FIELDS TERMINATED BY ',' ENCLOSED BY '"' -> LINES TERMINATED BY '\n'; |
Any of the field or line handling options may specify an empty string
(''
). If not empty, the FIELDS [OPTIONALLY] ENCLOSED BY
and FIELDS ESCAPED BY
values must be a single character. The
FIELDS TERMINATED BY
and LINES TERMINATED BY
values may
be more than one character. For example, to write lines that are
terminated by carriage return-linefeed pairs, or to read a file
containing such lines, specify a LINES TERMINATED BY '\r\n'
clause.
For example, to read a file of jokes, that are separated with a line
of %%
, into an SQL table you can do:
CREATE TABLE jokes (a INT NOT NULL AUTO_INCREMENT PRIMARY KEY, joke TEXT NOT NULL); LOAD DATA INFILE "/tmp/jokes.txt" INTO TABLE jokes FIELDS TERMINATED BY "" LINES TERMINATED BY "\n%%\n" (joke); |
FIELDS [OPTIONALLY] ENCLOSED BY
controls quoting of fields. For
output (SELECT ... INTO OUTFILE
), if you omit the word
OPTIONALLY
, all fields are enclosed by the ENCLOSED BY
character. An example of such output (using a comma as the field
delimiter) is shown here:
"1","a string","100.20" "2","a string containing a , comma","102.20" "3","a string containing a \" quote","102.20" "4","a string containing a \", quote and comma","102.20" |
If you specify OPTIONALLY
, the ENCLOSED BY
character is
used only to enclose CHAR
and VARCHAR
fields:
1,"a string",100.20 2,"a string containing a , comma",102.20 3,"a string containing a \" quote",102.20 4,"a string containing a \", quote and comma",102.20 |
Note that occurrences of the ENCLOSED BY
character within a
field value are escaped by prefixing them with the ESCAPED BY
character. Also note that if you specify an empty ESCAPED BY
value, it is possible to generate output that cannot be read properly by
LOAD DATA INFILE
. For example, the output just shown above would
appear as shown here if the escape character is empty. Observe that the
second field in the fourth line contains a comma following the quote, which
(erroneously) appears to terminate the field:
1,"a string",100.20 2,"a string containing a , comma",102.20 3,"a string containing a " quote",102.20 4,"a string containing a ", quote and comma",102.20 |
For input, the ENCLOSED BY
character, if present, is stripped from the
ends of field values. (This is true whether OPTIONALLY
is
specified; OPTIONALLY
has no effect on input interpretation.)
Occurrences of the ENCLOSED BY
character preceded by the
ESCAPED BY
character are interpreted as part of the current field
value. In addition, duplicated ENCLOSED BY
characters occurring
within fields are interpreted as single ENCLOSED BY
characters if the
field itself starts with that character. For example, if ENCLOSED BY
'"'
is specified, quotes are handled as shown here:
"The ""BIG"" boss" -> The "BIG" boss The "BIG" boss -> The "BIG" boss The ""BIG"" boss -> The ""BIG"" boss |
FIELDS ESCAPED BY
controls how to write or read special characters.
If the FIELDS ESCAPED BY
character is not empty, it is used to prefix
the following characters on output:
FIELDS ESCAPED BY
character
FIELDS [OPTIONALLY] ENCLOSED BY
character
FIELDS TERMINATED BY
and
LINES TERMINATED BY
values
0
(what is actually written following the escape character is
ASCII '0'
, not a zero-valued byte)
If the FIELDS ESCAPED BY
character is empty, no characters are escaped.
It is probably not a good idea to specify an empty escape character,
particularly if field values in your data contain any of the characters in
the list just given.
For input, if the FIELDS ESCAPED BY
character is not empty, occurrences
of that character are stripped and the following character is taken literally
as part of a field value. The exceptions are an escaped `0' or
`N' (for example, \0
or \N
if the escape character is
`\'). These sequences are interpreted as ASCII 0
(a zero-valued
byte) and NULL
. See below for the rules on NULL
handling.
For more information about `\'-escape syntax, see Literals: How to Write Strings and Numbers.
In certain cases, field and line handling options interact:
LINES TERMINATED BY
is an empty string and FIELDS
TERMINATED BY
is non-empty, lines are also terminated with
FIELDS TERMINATED BY
.
FIELDS TERMINATED BY
and FIELDS ENCLOSED BY
values
are both empty (''
), a fixed-row (non-delimited) format is used.
With fixed-row format, no delimiters are used between fields (but you
can still have a line terminator). Instead, column values are written
and read using the "display" widths of the columns. For example, if a
column is declared as INT(7)
, values for the column are written
using 7-character fields. On input, values for the column are obtained
by reading 7 characters.
LINES TERMINATED BY
is still used to separate lines. If a line
doesn't contain all fields, the rest of the fields will be set to their
default values. If you don't have a line terminator, you should set this
to ''
. In this case the text file must contain all fields for
each row.
Fixed-row format also affects handling of NULL
values; see below.
Note that fixed-size format will not work if you are using a multi-byte
character set.
Handling of NULL
values varies, depending on the FIELDS
and
LINES
options you use:
FIELDS
and LINES
values,
NULL
is written as \N
for output and \N
is read
as NULL
for input (assuming the ESCAPED BY
character
is `\').
FIELDS ENCLOSED BY
is not empty, a field containing the literal
word NULL
as its value is read as a NULL
value (this differs
from the word NULL
enclosed within FIELDS ENCLOSED BY
characters, which is read as the string 'NULL'
).
FIELDS ESCAPED BY
is empty, NULL
is written as the word
NULL
.
FIELDS TERMINATED BY
and
FIELDS ENCLOSED BY
are both empty), NULL
is written as an empty
string. Note that this causes both NULL
values and empty strings in
the table to be indistinguishable when written to the file because they are
both written as empty strings. If you need to be able to tell the two apart
when reading the file back in, you should not use fixed-row format.
Some cases are not supported by LOAD DATA INFILE
:
FIELDS TERMINATED BY
and FIELDS ENCLOSED
BY
both empty) and BLOB
or TEXT
columns.
LOAD DATA INFILE
won't be able to interpret the input properly.
For example, the following FIELDS
clause would cause problems:
FIELDS TERMINATED BY '"' ENCLOSED BY '"' |
FIELDS ESCAPED BY
is empty, a field value that contains an occurrence
of FIELDS ENCLOSED BY
or LINES TERMINATED BY
followed by the FIELDS TERMINATED BY
value will cause LOAD
DATA INFILE
to stop reading a field or line too early.
This happens because LOAD DATA INFILE
cannot properly determine
where the field or line value ends.
The following example loads all columns of the persondata
table:
mysql> LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata; |
No field list is specified, so LOAD DATA INFILE
expects input rows
to contain a field for each table column. The default FIELDS
and
LINES
values are used.
If you wish to load only some of a table's columns, specify a field list:
mysql> LOAD DATA INFILE 'persondata.txt' -> INTO TABLE persondata (col1,col2,...); |
You must also specify a field list if the order of the fields in the input file differs from the order of the columns in the table. Otherwise, MySQL cannot tell how to match up input fields with table columns.
If a row has too few fields, the columns for which no input field is present
are set to default values. Default value assignment is described in
CREATE TABLE
.
An empty field value is interpreted differently than if the field value is missing:
0
.
Note that these are the same values that result if you assign an empty
string explicitly to a string, numeric, or date or time type explicitly
in an INSERT
or UPDATE
statement.
TIMESTAMP
columns are only set to the current date and time if there
is a NULL
value for the column (that is, \N
), or (for the
first TIMESTAMP
column only) if the TIMESTAMP
column is
omitted from the field list when a field list is specified.
If an input row has too many fields, the extra fields are ignored and
the number of warnings is incremented. Note that before MySQL 4.1.1 the
warnings is just a number to indicate that something went wrong.
In MySQL 4.1.1 you can do SHOW WARNINGS
to get more information for
what went wrong.
LOAD DATA INFILE
regards all input as strings, so you can't use
numeric values for ENUM
or SET
columns the way you can with
INSERT
statements. All ENUM
and SET
values must be
specified as strings!
If you are using the C API, you can get information about the query by
calling the API function mysql_info()
when the LOAD DATA INFILE
query finishes. The format of the information string is shown here:
Records: 1 Deleted: 0 Skipped: 0 Warnings: 0 |
Warnings occur under the same circumstances as when values are inserted
via the INSERT
statement (see section INSERT
), except
that LOAD DATA INFILE
also generates warnings when there are too few
or too many fields in the input row. The warnings are not stored anywhere;
the number of warnings can only be used as an indication if everything went
well.
If you get warnings and want to know exactly why you got them, one way
to do this is to use SELECT ... INTO OUTFILE
into another file
and compare this to your original input file.
If you need LOAD DATA
to read from a pipe, you can use the
following trick:
mkfifo /mysql/db/x/x chmod 666 /mysql/db/x/x cat < /dev/tcp/10.1.1.12/4711 > /nt/mysql/db/x/x mysql -e "LOAD DATA INFILE 'x' INTO TABLE x" x |
If you are using a version of MySQL older than 3.23.25
you can only do the above with LOAD DATA LOCAL INFILE
.
In MySQL 4.1.1 you can use SHOW WARNINGS
to get a list of the first
max_error_count
warnings. See section SHOW WARNINGS | ERRORS
.
For more information about the efficiency of INSERT
versus
LOAD DATA INFILE
and speeding up LOAD DATA INFILE
,
See section Speed of INSERT
Queries.
DO
Syntax DO expression, [expression, ...] |
Execute the expression but don't return any results. This is a
shorthand of SELECT expression, expression
, but has the advantage
that it's slightly faster when you don't care about the result.
This is mainly useful with functions that has side effects, like
RELEASE_LOCK
.
CREATE
, DROP
, ALTER
CREATE DATABASE
Syntax CREATE DATABASE [IF NOT EXISTS] db_name |
CREATE DATABASE
creates a database with the given name.
Rules for
allowable database names are given in Database, Table, Index, Column, and Alias Names. An error occurs if
the database already exists and you didn't specify IF NOT EXISTS
.
Databases in MySQL are implemented as directories containing files
that correspond to tables in the database. Because there are no tables in a
database when it is initially created, the CREATE DATABASE
statement
only creates a directory under the MySQL data directory.
You can also create databases with mysqladmin
.
See section MySQL Client-Side Scripts and Utilities.
DROP DATABASE
Syntax DROP DATABASE [IF EXISTS] db_name |
DROP DATABASE
drops all tables in the database and deletes the
database. If you do a DROP DATABASE
on a symbolic linked
database, both the link and the original database is deleted. Be
VERY careful with this command!
DROP DATABASE
returns the number of files that were removed from
the database directory. Normally, this is three times the number of
tables, because normally each table corresponds to a `.MYD' file, a
`.MYI' file, and a `.frm' file.
The DROP DATABASE
command removes from the given database
directory all files with the following extensions:
Ext | Ext | Ext | Ext |
.BAK | .DAT | .HSH | .ISD |
.ISM | .ISM | .MRG | .MYD |
.MYI | .db | .frm |
All subdirectories that consists of 2 digits (RAID
directories)
are also removed.
In MySQL Version 3.22 or later, you can use the keywords
IF EXISTS
to prevent an error from occurring if the database doesn't
exist.
You can also drop databases with mysqladmin
. See section MySQL Client-Side Scripts and Utilities.
CREATE TABLE
Syntax 6.5.3.1 Silent Column Specification Changes |
CREATE [TEMPORARY] TABLE [IF NOT EXISTS] tbl_name [(create_definition,...)] [table_options] [select_statement] or CREATE [TEMPORARY] TABLE [IF NOT EXISTS] tbl_name [(] LIKE old_tbl_name [)]; create_definition: col_name type [NOT NULL | NULL] [DEFAULT default_value] [AUTO_INCREMENT] [[PRIMARY] KEY] [COMMENT 'string'] [reference_definition] | PRIMARY KEY (index_col_name,...) | KEY [index_name] (index_col_name,...) | INDEX [index_name] (index_col_name,...) | UNIQUE [INDEX] [index_name] (index_col_name,...) | FULLTEXT [INDEX] [index_name] (index_col_name,...) | [CONSTRAINT symbol] FOREIGN KEY [index_name] (index_col_name,...) [reference_definition] | CHECK (expr) type: TINYINT[(length)] [UNSIGNED] [ZEROFILL] | SMALLINT[(length)] [UNSIGNED] [ZEROFILL] | MEDIUMINT[(length)] [UNSIGNED] [ZEROFILL] | INT[(length)] [UNSIGNED] [ZEROFILL] | INTEGER[(length)] [UNSIGNED] [ZEROFILL] | BIGINT[(length)] [UNSIGNED] [ZEROFILL] | REAL[(length,decimals)] [UNSIGNED] [ZEROFILL] | DOUBLE[(length,decimals)] [UNSIGNED] [ZEROFILL] | FLOAT[(length,decimals)] [UNSIGNED] [ZEROFILL] | DECIMAL(length,decimals) [UNSIGNED] [ZEROFILL] | NUMERIC(length,decimals) [UNSIGNED] [ZEROFILL] | CHAR(length) [BINARY] | VARCHAR(length) [BINARY] | DATE | TIME | TIMESTAMP | DATETIME | TINYBLOB | BLOB | MEDIUMBLOB | LONGBLOB | TINYTEXT | TEXT | MEDIUMTEXT | LONGTEXT | ENUM(value1,value2,value3,...) | SET(value1,value2,value3,...) index_col_name: col_name [(length)] reference_definition: REFERENCES tbl_name [(index_col_name,...)] [MATCH FULL | MATCH PARTIAL] [ON DELETE reference_option] [ON UPDATE reference_option] reference_option: RESTRICT | CASCADE | SET NULL | NO ACTION | SET DEFAULT table_options: table_option [table_option] ... table_option: TYPE = {BDB | HEAP | ISAM | InnoDB | MERGE | MRG_MYISAM | MYISAM } | AUTO_INCREMENT = # | AVG_ROW_LENGTH = # | CHECKSUM = {0 | 1} | COMMENT = 'string' | MAX_ROWS = # | MIN_ROWS = # | PACK_KEYS = {0 | 1 | DEFAULT} | PASSWORD = 'string' | DELAY_KEY_WRITE = {0 | 1} | ROW_FORMAT = { default | dynamic | fixed | compressed } | RAID_TYPE = { 1 | STRIPED | RAID0 } RAID_CHUNKS=# RAID_CHUNKSIZE=# | UNION = (table_name,[table_name...]) | INSERT_METHOD = { NO | FIRST | LAST } | DATA DIRECTORY = 'absolute path to directory' | INDEX DIRECTORY = 'absolute path to directory' select_statement: [IGNORE | REPLACE] SELECT ... (Some legal select statement) |
CREATE TABLE
creates a table with the given name.
Rules for allowable table names are given in Database, Table, Index, Column, and Alias Names.
By default, the table is created in the current database.
An error occurs if the table already exists, if there is no current database,
or if the database does not exist.
In MySQL Version 3.22 or later, the table name can be specified as
db_name.tbl_name
to create the table in a specific database.
This works regardless of whether there is a current database.
From MySQL Version 3.23, you can use the TEMPORARY
keyword when
you create a table. The temporary table is visible only to the
current connection, and will be deleted automatically when the
connection is closed. This means that two different
connections can both use the same temporary table name without conflicting
with each other or with an existing table of the same name. (The existing table
is hidden until the temporary table is deleted.) From MySQL 4.0.2 on, you must
have the CREATE TEMPORARY TABLES
privilege to be able to create
temporary tables.
In MySQL Version 3.23 or later, you can use the keywords
IF NOT EXISTS
so that an error does not occur if the table already
exists. Note that there is no verification that the existing table has a
structure identical to that indicated by the CREATE TABLE
statement.
From version 4.1.0, the attribute SERIAL
can be used as an alias for
BIGINT NOT NULL AUTO_INCREMENT UNIQUE
. This is compatibility feature.
As of MySQL 3.23, you can create one table from another by adding a
SELECT
statement at the end of the CREATE TABLE
statement:
CREATE TABLE new_tbl SELECT * FROM orig_tbl; |
Indexes are not carried over to the new table, and some conversion of column
types may occur. For example, the AUTO_INCREMENT
attribute is not
preserved, and VARCHAR
columns may become CHAR
columns.
As of MySQL 4.1, you can explicitly specify the type for a generated column:
CREATE TABLE foo (a tinyint not null) SELECT b+1 AS 'a' FROM bar; |
In MySQL 4.1, you can also use LIKE
to create a table based on the
definition of another table, including any column attributes and
indexes the original table has:
CREATE TABLE new_tbl LIKE orig_tbl; |
Each table tbl_name
is represented by some files in the database
directory. In the case of MyISAM
-type tables you will get:
File | Purpose |
| Table format (definition) file |
| Datafile |
| Index file |
For more information on the properties of the various column types, see Column Types:
NULL
nor NOT NULL
is specified, the column
is treated as though NULL
had been specified.
AUTO_INCREMENT
.
When you insert a value of NULL
(recommended) or 0
into an
indexed
AUTO_INCREMENT
column, the column is set to the next sequence value.
Typically this is value+1
, where
value
is the largest value for the column currently in the table.
AUTO_INCREMENT
sequences begin with 1
.
See section mysql_insert_id()
.
If you delete the row containing the maximum value for an
AUTO_INCREMENT
column, the value will be reused for an
ISAM
or BDB
table, but not for a
MyISAM
or InnoDB
table. If you delete all rows in the table
with DELETE FROM table_name
(without a WHERE
) in
AUTOCOMMIT
mode, the sequence starts over for all table types except
InnoDB
. See section How an AUTO_INCREMENT
Column Works in InnoDB.
Note: there can be only one AUTO_INCREMENT
column per
table, it must be indexed and it can't have a DEFAULT
value.
In MySQL Version 3.23, an AUTO_INCREMENT
column will work properly
only if it contains only positive values. Inserting a
negative number is regarded as inserting a very large positive number.
This is done to avoid precision problems when numbers "wrap" over from
positive to negative and also to ensure that one doesn't accidentally
get an AUTO_INCREMENT
column that contains 0.
In MyISAM
and BDB
tables you can specify AUTO_INCREMENT
secondary column in a multiple-column key. See section Using AUTO_INCREMENT
.
To make MySQL compatible with some ODBC applications, you can find the
AUTO_INCREMENT
value for the last inserted row with the following query:
SELECT * FROM tbl_name WHERE auto_col IS NULL |
CREATE TABLE
implicitly commits the current InnoDB
transaction if MySQL binary logging is used.
NULL
values are handled differently for TIMESTAMP
columns than
for other column types. You cannot store a literal NULL
in a
TIMESTAMP
column; setting the column to NULL
sets it to the
current date and time. Because TIMESTAMP
columns behave this way, the
NULL
and NOT NULL
attributes do not apply in the normal way and
are ignored if you specify them.
On the other hand, to make it easier for MySQL clients to use
TIMESTAMP
columns, the server reports that such columns may be
assigned NULL
values (which is true), even though TIMESTAMP
never actually will contain a NULL
value. You can see this when you
use DESCRIBE tbl_name
to get a description of your table.
Note that setting a TIMESTAMP
column to 0
is not the same
as setting it to NULL
, because 0
is a valid TIMESTAMP
value.
DEFAULT
value has to be a constant, it cannot be a function or
an expression.
If no DEFAULT
value is specified for a column, MySQL
automatically assigns one, as follows.
If the column may take NULL
as a value, the default value is
NULL
.
If the column is declared as NOT NULL
, the default value depends on
the column type:
AUTO_INCREMENT
attribute, the default is 0
. For an AUTO_INCREMENT
column, the
default value is the next value in the sequence.
TIMESTAMP
, the default is the
appropriate zero value for the type. For the first TIMESTAMP
column in a table, the default value is the current date and time.
See section Date and Time Types.
ENUM
, the default value is the empty
string. For ENUM
, the default is the first enumeration value.
Default values must be constants. This means, for example, that you cannot
set the default for a date column to be the value of a function such as
NOW()
or CURRENT_DATE
.
COMMENT
option.
The comment is displayed by the
SHOW CREATE TABLE
statement, and by SHOW FULL COLUMNS
.
This option is available as of MySQL 4.1.
(It is allowed but ignored in earlier versions.)
KEY
is normally a synonym for INDEX
.
From version 4.1, the key attribute PRIMARY KEY
may also be
specified as just KEY
. This was implemented for compatibility
with other databases.
UNIQUE
key can have only distinct values. An
error occurs if you try to add a new row with a key that matches an existing
row.
PRIMARY KEY
is a unique KEY
where all key columns must be
defined as NOT NULL
. If they are not explicitly declared as
NOT NULL
, it will be done implicitly (and quietly). In MySQL
the key is named PRIMARY
. A table can have only one PRIMARY KEY
.
If you don't have a PRIMARY KEY
and some applications ask for the
PRIMARY KEY
in your tables, MySQL will return the first
UNIQUE
key, which doesn't have any NULL
columns, as the
PRIMARY KEY
.
PRIMARY KEY
can be a multiple-column index. However, you cannot
create a multiple-column index using the PRIMARY KEY
key attibute in a
column specification. Doing so will mark only that single column as primary.
You must use a separate PRIMARY KEY(index_col_name, ...)
clause.
UNIQUE
index is one in which all values in the index must be
distinct. The exception to this is that if a column in the index is allowed
to contain NULL
values, it may contain multiple NULL
values.
This exception does not apply to BDB
tables, which allow only a single
NULL
.
PRIMARY
or UNIQUE
key consists of only one column and this
is of type integer, you can also refer to it as _rowid
(new in Version 3.23.11).
PRIMARY KEY
,
the index will be assigned the same
name as the first index_col_name
, with an optional suffix (_2
,
_3
, ...
) to make it unique. You can see index names for a
table using SHOW INDEX FROM tbl_name
.
See section Retrieving information about Database, Tables, Columns, and Indexes.
MyISAM
, InnoDB
, and BDB
table types support indexes on columns that can have
NULL
values. In other cases you must declare such columns
NOT NULL
or an error results.
col_name(length)
syntax in an index specification, you can create
an index that uses only the first length
bytes of a CHAR
or VARCHAR
column. This can make the index file much smaller.
See section Column Indexes.
MyISAM
table type supports indexing on BLOB
and
TEXT
columns. When putting an index on a BLOB
or TEXT
column you MUST always specify the length of the index, up to 255 bytes. For
example:
CREATE TABLE test (blob_col BLOB, INDEX(blob_col(10))); |
ORDER BY
or GROUP BY
with a TEXT
or
BLOB
column, the server sorts values using only the initial number of
bytes indicated by the max_sort_length
server variable.
See section BLOB
.
FULLTEXT
indexes. They are used for full-text search. Only the
MyISAM
table type supports FULLTEXT
indexes. They can be created
only from CHAR
, VARCHAR
, and TEXT
columns.
Indexing always happens over the entire column; partial indexing is not
supported. See MySQL Full-text Search for details of operation.
InnoDB
tables support checking of
foreign key constraints. See section InnoDB
Tables. Note that the
FOREIGN KEY
syntax in InnoDB
is more restrictive than
the syntax presented above: The columns of the referenced
table must always be explicitly named.
InnoDB supports both ON DELETE
and ON UPDATE
actions on foreign keys as of MySQL 3.23.50 and 4.0.8, respectively.
See the InnoDB
manual section for the precise syntax.
See section FOREIGN KEY
Constraints.
For other table types, MySQL Server does parse the FOREIGN KEY
,
CHECK
, and REFERENCES
syntax in CREATE TABLE
commands,
but without further action being taken. See section Foreign Keys.
MyISAM
and ISAM
tables,
each NULL
column takes one bit extra, rounded up to the nearest byte.
The maximum record length in bytes can be calculated as follows:
row length = 1 + (sum of column lengths) + (number of NULL columns + delete_flag + 7)/8 + (number of variable-length columns) |
delete_flag
is 1 for tables with static record format. Static
tables use a bit in the row record for a flag that indicates whether
the row has been deleted. delete_flag
is 0 for dynamic tables
because the flag is stored in the dynamic row header.
These calculations do not apply for InnoDB
tables, for which
storage size is not different for NULL
columns compared to NOT
NULL
columns.
table_options
and SELECT
options are only
implemented in MySQL Version 3.23 and above.
The TYPE
option for specifying the table type takes the following
values:
Table type | Description |
| Transaction-safe tables with page locking. See section |
| The data for this table is only stored in memory. See section |
| The original storage engine. See section |
| Transaction-safe tables with row locking. See section |
| A collection of |
| An alias for |
| The new binary portable storage engine that is the
replacement for |
See section MySQL Table Types.
If a table type is specified, and that particular type is not available,
MySQL will use MyISAM
instead.
For example, if a table definition includes the TYPE=BDB
option but the
MySQL server does not support BDB
tables, the table will be created
as a MyISAM
table. This makes it possible to have a replication
setup where you have transactional tables on the master but tables created
on the slave are non-transactional (to get more speed). In MySQL 4.1.1 you
get a warning if the specified table type is not honored.
The other table options are used to optimise the behaviour of the table. In most cases, you don't have to specify any of them. The options work for all table types, unless otherwise indicated:
Option | Description |
| The next |
| An approximation of the average row length for your table. You only need to set this for large tables with variable size records. |
| Set this to 1 if you want MySQL to maintain a checksum for all rows (makes the table a little slower to update but makes it easier to find corrupted tables) ( |
| A 60-character comment for your table. |
| Maximum number of rows you plan to store in the table. |
| Minimum number of rows you plan to store in the table. |
| Set this to 1 if you want to have a smaller index. This usually makes updates slower and reads faster ( |
| Encrypt the `.frm' file with a password. This option doesn't do anything in the standard MySQL version. |
| Set this to 1 if want to delay key table updates until the table is closed ( |
| Defines how the rows should be stored. Currently this option only works with |
When you use a MyISAM
table, MySQL uses the product of
MAX_ROWS * AVG_ROW_LENGTH
to decide how big the resulting table
will be. If you don't specify any of the above options, the maximum size
for a table will be 4G (or 2G if your operating systems only supports 2G
tables). The reason for this is just to keep down the pointer sizes
to make the index smaller and faster if you don't really need big files.
If you don't use PACK_KEYS
, the default is to only pack strings,
not numbers. If you use PACK_KEYS=1
, numbers will be packed as well.
When packing binary number keys, MySQL will use prefix compression.
This means that you will only get a big benefit from this if you have
many numbers that are the same. Prefix compression means that every
key needs one extra byte to indicate how many bytes of the previous key are
the same for the next key (note that the pointer to the row is stored
in high-byte-first order directly after the key, to improve
compression). This means that if you have many equal keys on two consecutive
rows, all following "same" keys will usually only take 2 bytes
(including the pointer to the row). Compare this to the ordinary case
where the following keys will take storage_size_for_key +
pointer_size (usually 4). On the other hand, if all keys are
totally different, you will use 1 byte more per key, if the key isn't a
key that can have NULL
values. (In this case the packed key length will
be stored in the same byte that is used to mark if a key is NULL
.)
SELECT
after the CREATE
statement,
MySQL will create new fields for all elements in the
SELECT
. For example:
mysql> CREATE TABLE test (a INT NOT NULL AUTO_INCREMENT, -> PRIMARY KEY (a), KEY(b)) -> TYPE=MyISAM SELECT b,c FROM test2; |
This will create a MyISAM
table with three columns, a, b, and c.
Notice that the columns from the SELECT
statement are appended to
the right side of the table, not overlapped onto it. Take the following
example:
mysql> SELECT * FROM foo; +---+ | n | +---+ | 1 | +---+ mysql> CREATE TABLE bar (m INT) SELECT n FROM foo; Query OK, 1 row affected (0.02 sec) Records: 1 Duplicates: 0 Warnings: 0 mysql> SELECT * FROM bar; +------+---+ | m | n | +------+---+ | NULL | 1 | +------+---+ 1 row in set (0.00 sec) |
For each row in table foo
, a row is inserted in bar
with
the values from foo
and default values for the new columns.
CREATE TABLE ... SELECT
will not automatically create any indexes
for you. This is done intentionally to make the command as flexible as
possible. If you want to have indexes in the created table, you should
specify these before the SELECT
statement:
mysql> CREATE TABLE bar (UNIQUE (n)) SELECT n FROM foo; |
If any errors occur while copying the data to the table, it will automatically be deleted.
You can precede the SELECT
by IGNORE
or REPLACE
to indicate how to handle records that duplicate unique key values.
With IGNORE
, new records that duplicate an existing record on a
unique key value are discarded. With REPLACE
, new records replace
records that have the same unique key value. If neither IGNORE
nor REPLACE
are specified, duplicate unique key values result in
an error.
To ensure that the update log/binary log can be used to re-create the
original tables, MySQL will not allow concurrent inserts during
CREATE TABLE ... SELECT
.
RAID_TYPE
option will help you to exceed the 2G/4G limit for
the MyISAM datafile (not the index file) on operating systems that
don't support big files. Note that this option is not recommended for
filesystem that supports big files!
You can get more speed from the I/O bottleneck by putting RAID
directories on different physical disks. RAID_TYPE
will work on
any OS, as long as you have configured MySQL with --with-raid
.
For now the only allowed RAID_TYPE
is STRIPED
(1
and RAID0
are aliases for this).
If you specify RAID_TYPE=STRIPED
for a MyISAM
table,
MyISAM
will create RAID_CHUNKS
subdirectories named 00,
01, 02 in the database directory. In each of these directories
MyISAM
will create a table_name.MYD
. When writing data
to the datafile, the RAID
handler will map the first
RAID_CHUNKSIZE
*1024 bytes to the first file, the next
RAID_CHUNKSIZE
*1024 bytes to the next file and so on.
UNION
is used when you want to use a collection of identical
tables as one. This only works with MERGE
tables.
See section MERGE
.
For the moment you need to have SELECT
, UPDATE
, and
DELETE
privileges on the tables you map to a MERGE
table.
All mapped tables must be in the same database as the MERGE
table.
MERGE
table, you have to specify with
INSERT_METHOD
into with table the row should be inserted.
INSERT_METHOD
is an option useful for MERGE
tables only.
See section MERGE
Tables. This option was introduced in MySQL 4.0.0.
PRIMARY
key will be placed first, followed
by all UNIQUE
keys and then the normal keys. This helps the
MySQL optimiser to prioritise which key to use and also more quickly
detect duplicated UNIQUE
keys.
DATA DIRECTORY="directory"
or INDEX
DIRECTORY="directory"
you can specify where the storage engine should
put it's table and index files. Note that the directory should be a full
path to the directory (not relative path).
This only works for MyISAM
tables in MySQL
4.0, when you
are not using the --skip-symlink
option. See section Using Symbolic Links for Tables.
In some cases, MySQL silently changes a column specification from
that given in a CREATE TABLE
statement. (This may also occur with
ALTER TABLE
.):
VARCHAR
columns with a length less than four are changed to
CHAR
.
VARCHAR
, TEXT
, or BLOB
),
all CHAR
columns longer than three characters are changed to
VARCHAR
columns. This doesn't affect how you use the columns in
any way; in MySQL, VARCHAR
is just a different way to
store characters. MySQL performs this conversion because it
saves space and makes table operations faster. See section MySQL Table Types.
CHAR
or VARCHAR
field with a
length specification greater than 255 is converted to TEXT
.
This is a compatibility feature.
TIMESTAMP
display sizes must be even and in the range from 2 to 14.
If you specify a display size of 0 or greater than 14, the size is coerced
to 14. Odd-valued sizes in the range from 1 to 13 are coerced
to the next higher even number.
NULL
in a TIMESTAMP
column; setting
it to NULL
sets it to the current date and time. Because
TIMESTAMP
columns behave this way, the NULL
and NOT NULL
attributes do not apply in the normal way and are ignored if you specify
them. DESCRIBE tbl_name
always reports that a TIMESTAMP
column may be assigned NULL
values.
If you want to see whether MySQL used a column type other
than the one you specified, issue a DESCRIBE tbl_name
statement after
creating or altering your table.
Certain other column type changes may occur if you compress a table
using myisampack
. See section Compressed Table Characteristics.
ALTER TABLE
Syntax ALTER [IGNORE] TABLE tbl_name alter_specification [, alter_specification ...] alter_specification: ADD [COLUMN] create_definition [FIRST | AFTER column_name ] | ADD [COLUMN] (create_definition, create_definition,...) | ADD INDEX [index_name] (index_col_name,...) | ADD PRIMARY KEY (index_col_name,...) | ADD UNIQUE [index_name] (index_col_name,...) | ADD FULLTEXT [index_name] (index_col_name,...) | ADD [CONSTRAINT symbol] FOREIGN KEY [index_name] (index_col_name,...) [reference_definition] | ALTER [COLUMN] col_name {SET DEFAULT literal | DROP DEFAULT} | CHANGE [COLUMN] old_col_name create_definition [FIRST | AFTER column_name] | MODIFY [COLUMN] create_definition [FIRST | AFTER column_name] | DROP [COLUMN] col_name | DROP PRIMARY KEY | DROP INDEX index_name | DISABLE KEYS | ENABLE KEYS | RENAME [TO] new_tbl_name | ORDER BY col | table_options |
ALTER TABLE
allows you to change the structure of an existing table.
For example, you can add or delete columns, create or destroy indexes, change
the type of existing columns, or rename columns or the table itself. You can
also change the comment for the table and type of the table.
See section CREATE TABLE
.
If you use ALTER TABLE
to change a column specification but
DESCRIBE tbl_name
indicates that your column was not changed, it is
possible that MySQL ignored your modification for one of the reasons
described in Silent Column Specification Changes. For example, if you try to change
a VARCHAR
column to CHAR
, MySQL will still use
VARCHAR
if the table contains other variable-length columns.
ALTER TABLE
works by making a temporary copy of the original table.
The alteration is performed on the copy, then the original table is
deleted and the new one is renamed. This is done in such a way that
all updates are automatically redirected to the new table without
any failed updates. While ALTER TABLE
is executing, the original
table is readable by other clients. Updates and writes to the table
are stalled until the new table is ready.
Note that if you use any other option to ALTER TABLE
than
RENAME
, MySQL will always create a temporary table, even
if the data wouldn't strictly need to be copied (like when you change the
name of a column). We plan to fix this in the future, but as one doesn't
normally do ALTER TABLE
that often this isn't that high on our TODO.
For MyISAM tables, you can speed up the index recreation part (which is the
slowest part of the recreation process) by setting the
myisam_sort_buffer_size
variable to a high value.
ALTER TABLE
, you need ALTER
, INSERT
,
and CREATE
privileges on the table.
IGNORE
is a MySQL extension to SQL-92.
It controls how ALTER TABLE
works if there are duplicates on
unique keys in the new table.
If IGNORE
isn't specified, the copy is aborted and rolled back.
If IGNORE
is specified, then for rows with duplicates on a unique
key, only the first row is used; the others are deleted.
ADD
, ALTER
, DROP
, and
CHANGE
clauses in a single ALTER TABLE
statement. This is a
MySQL extension to SQL-92, which allows only one of each clause
per ALTER TABLE
statement.
CHANGE col_name
, DROP col_name
, and DROP
INDEX
are MySQL extensions to SQL-92.
MODIFY
is an Oracle extension to ALTER TABLE
.
COLUMN
is a pure noise word and can be omitted.
ALTER TABLE tbl_name RENAME TO new_name
without any other
options, MySQL simply renames the files that correspond to the table
tbl_name
. There is no need to create the temporary table.
See section RENAME TABLE
.
create_definition
clauses use the same syntax for ADD
and
CHANGE
as for CREATE TABLE
. Note that this syntax includes
the column name, not just the column type.
See section CREATE TABLE
.
CHANGE old_col_name create_definition
clause. To do so, specify the old and new column names and the type that
the column currently has. For example, to rename an INTEGER
column
from a
to b
, you can do this:
mysql> ALTER TABLE t1 CHANGE a b INTEGER; |
If you want to change a column's type but not the name, CHANGE
syntax still requires an old and new column name, even if they are the same.
For example:
mysql> ALTER TABLE t1 CHANGE b b BIGINT NOT NULL; |
However, as of MySQL Version 3.22.16a, you can also use MODIFY
to change a column's type without renaming it:
mysql> ALTER TABLE t1 MODIFY b BIGINT NOT NULL; |
CHANGE
or MODIFY
to shorten a column for which
an index exists on part of the column (for instance, if you have an index
on the first 10 characters of a VARCHAR
column), you cannot make
the column shorter than the number of characters that are indexed.
CHANGE
or MODIFY
,
MySQL tries to convert data to the new type as well as possible.
FIRST
or
ADD ... AFTER col_name
to add a column at a specific position
within a table row. The default is to add the column last.
From MySQL Version 4.0.1, you can also use the FIRST
and
AFTER
keywords in CHANGE
or MODIFY
.
ALTER COLUMN
specifies a new default value for a column
or removes the old default value.
If the old default is removed and the column can be NULL
, the new
default is NULL
. If the column cannot be NULL
, MySQL
assigns a default value, as described in
CREATE TABLE
.
DROP INDEX
removes an index. This is a MySQL extension to
SQL-92. See section DROP INDEX
Syntax.
DROP TABLE
instead.
DROP PRIMARY KEY
drops the primary index. If no such
index exists, it drops the first UNIQUE
index in the table.
(MySQL marks the first UNIQUE
key as the PRIMARY KEY
if no PRIMARY KEY
was specified explicitly.)
If you add a UNIQUE INDEX
or PRIMARY KEY
to a table, this
is stored before any not UNIQUE
index so that MySQL can detect
duplicate keys as early as possible.
ORDER BY
allows you to create the new table with the rows in a
specific order. Note that the table will not remain in this order after
inserts and deletes. In some cases, it may make sorting easier for
MySQL if the table is in order by the column that you wish to
order it by later. This option is mainly useful when you know that you
are mostly going to query the rows in a certain order; by using this
option after big changes to the table, you may be able to get higher
performance.
ALTER TABLE
on a MyISAM
table, all non-unique
indexes are created in a separate batch (like in REPAIR
).
This should make ALTER TABLE
much faster when you have many indexes.
ALTER TABLE ... DISABLE KEYS
makes MySQL to stop updating
non-unique indexes for MyISAM
table.
ALTER TABLE ... ENABLE KEYS
then should be used to recreate missing
indexes. As MySQL does it with a special algorithm which is much
faster then inserting keys one by one, disabling keys could give a
considerable speedup on bulk inserts.
mysql_info()
, you can find out how many
records were copied, and (when IGNORE
is used) how many records were
deleted due to duplication of unique key values.
FOREIGN KEY
, CHECK
, and REFERENCES
clauses don't
actually do anything, except for InnoDB type tables which support
... ADD [CONSTRAINT symbol] FOREIGN KEY (...) REFERENCES ... (...)
and ... DROP FOREIGN KEY ...
.
See section FOREIGN KEY
Constraints.
The syntax for other table types is provided only for compatibility,
to make it easier to port code from other SQL servers and to run applications
that create tables with references.
See section MySQL Differences Compared To SQL-92.
Here is an example that shows some of the uses of ALTER TABLE
. We
begin with a table t1
that is created as shown here:
mysql> CREATE TABLE t1 (a INTEGER,b CHAR(10)); |
To rename the table from t1
to t2
:
mysql> ALTER TABLE t1 RENAME t2; |
To change column a
from INTEGER
to TINYINT NOT NULL
(leaving the name the same), and to change column b
from
CHAR(10)
to CHAR(20)
as well as renaming it from b
to
c
:
mysql> ALTER TABLE t2 MODIFY a TINYINT NOT NULL, CHANGE b c CHAR(20); |
To add a new TIMESTAMP
column named d
:
mysql> ALTER TABLE t2 ADD d TIMESTAMP; |
To add an index on column d
, and make column a
the primary key:
mysql> ALTER TABLE t2 ADD INDEX (d), ADD PRIMARY KEY (a); |
To remove column c
:
mysql> ALTER TABLE t2 DROP COLUMN c; |
To add a new AUTO_INCREMENT
integer column named c
:
mysql> ALTER TABLE t2 ADD c INT UNSIGNED NOT NULL AUTO_INCREMENT, ADD INDEX (c); |
Note that we indexed c
, because AUTO_INCREMENT
columns must be
indexed, and also that we declare c
as NOT NULL
, because
indexed columns cannot be NULL
.
When you add an AUTO_INCREMENT
column, column values are filled in
with sequence numbers for you automatically. You can set the first
sequence number by executing SET INSERT_ID=#
before
ALTER TABLE
or using the AUTO_INCREMENT = #
table option.
See section SET
Syntax.
With MyISAM tables, if you don't change the AUTO_INCREMENT
column, the sequence number will not be affected. If you drop an
AUTO_INCREMENT
column and then add another AUTO_INCREMENT
column, the numbers will start from 1 again.
See section Problems with ALTER TABLE
..
RENAME TABLE
Syntax RENAME TABLE tbl_name TO new_tbl_name[, tbl_name2 TO new_tbl_name2,...] |
The rename is done atomically, which means that no other thread can access any of the tables while the rename is running. This makes it possible to replace a table with an empty one :
CREATE TABLE new_table (...); RENAME TABLE old_table TO backup_table, new_table TO old_table; |
The rename is done from left to right, which means that if you want to swap two table names, you have to:
RENAME TABLE old_table TO backup_table, new_table TO old_table, backup_table TO new_table; |
As long as two databases are on the same disk you can also rename from one database to another:
RENAME TABLE current_db.tbl_name TO other_db.tbl_name; |
When you execute RENAME
, you can't have any locked tables or
active transactions. You must also have the ALTER
and DROP
privileges on the original table, and the CREATE
and INSERT
privileges on the new table.
If MySQL encounters any errors in a multiple-table rename, it will do a reverse rename for all renamed tables to get everything back to the original state.
RENAME TABLE
was added in MySQL 3.23.23.
DROP TABLE
Syntax DROP [TEMPORARY] TABLE [IF EXISTS] tbl_name [, tbl_name,...] [RESTRICT | CASCADE] |
DROP TABLE
removes one or more tables. All table data and the table
definition are removed, so be careful with this command!
In MySQL Version 3.22 or later, you can use the keywords
IF EXISTS
to prevent an error from occurring for tables that don't
exist. In 4.1 one gets a NOTE
for all not existing tables when using
IF EXISTS
. See section SHOW WARNINGS | ERRORS
.
RESTRICT
and CASCADE
are allowed to make porting easier.
For the moment they don't do anything.
Note: DROP TABLE
will automatically commit current
active transaction (except if you are using 4.1 and the TEMPORARY
key word.
Option TEMPORARY
is ignored in 4.0. In 4.1 this option works as
follows:
Using TEMPORARY
is a good way to ensure that you don't accidently
drop a real table.
CREATE INDEX
Syntax CREATE [UNIQUE|FULLTEXT] INDEX index_name ON tbl_name (col_name[(length)],... ) |
The CREATE INDEX
statement doesn't do anything in MySQL prior
to Version 3.22. In Version 3.22 or later, CREATE INDEX
is mapped to an
ALTER TABLE
statement to create indexes.
See section ALTER TABLE
.
Normally, you create all indexes on a table at the time the table itself
is created with CREATE TABLE
.
See section CREATE TABLE
.
CREATE INDEX
allows you to add indexes to existing tables.
A column list of the form (col1,col2,...)
creates a multiple-column
index. Index values are formed by concatenating the values of the given
columns.
For CHAR
and VARCHAR
columns, indexes can be created that
use only part of a column, using col_name(length)
syntax to index the
first length
bytes of each column value. (For
BLOB
and TEXT
columns, a prefix length is required;
length
may be a value up to 255.) The
statement shown here creates an index using the first 10 characters of
the name
column:
mysql> CREATE INDEX part_of_name ON customer (name(10)); |
Because most names usually differ in the first 10 characters, this index should
not be much slower than an index created from the entire name
column.
Also, using partial columns for indexes can make the index file much smaller,
which could save a lot of disk space and might also speed up INSERT
operations!
Note that you can only add an index on a column that can have NULL
values or on a BLOB
/TEXT
column if you are using
MySQL Version 3.23.2 or newer and are using the MyISAM
table type.
For more information about how MySQL uses indexes, see MySQL indexes.
FULLTEXT
indexes can index only VARCHAR
and
TEXT
columns, and only in MyISAM
tables. FULLTEXT
indexes
are available in MySQL Version 3.23.23 and later.
MySQL Full-text Search.
DROP INDEX
Syntax DROP INDEX index_name ON tbl_name |
DROP INDEX
drops the index named index_name
from the table
tbl_name
. DROP INDEX
doesn't do anything in MySQL
prior to Version 3.22. In Version 3.22 or later, DROP INDEX
is mapped to an
ALTER TABLE
statement to drop the index.
See section ALTER TABLE
.
6.6.1 USE Syntax | ||
6.6.2 DESCRIBE Syntax (Get Information About Columns) |
USE
Syntax USE db_name |
The USE db_name
statement tells MySQL to use the db_name
database as the default database for subsequent queries. The database remains
current until the end of the session or until another USE
statement
is issued:
mysql> USE db1; mysql> SELECT COUNT(*) FROM mytable; # selects from db1.mytable mysql> USE db2; mysql> SELECT COUNT(*) FROM mytable; # selects from db2.mytable |
Making a particular database current by means of the USE
statement
does not preclude you from accessing tables in other databases. The following example
accesses the author
table from the db1
database and the
editor
table from the db2
database:
mysql> USE db1; mysql> SELECT author_name,editor_name FROM author,db2.editor -> WHERE author.editor_id = db2.editor.editor_id; |
The USE
statement is provided for Sybase compatibility.
DESCRIBE
Syntax (Get Information About Columns) {DESCRIBE | DESC} tbl_name [col_name | wild] |
DESCRIBE
is a shortcut for SHOW COLUMNS FROM
.
See section Retrieving information about Database, Tables, Columns, and Indexes.
DESCRIBE
provides information about a table's columns. col_name
may be a column name or a string containing the SQL `%' and `_'
wildcard characters to obtain output only for the columns with names matching
the string. There is no need to enclose the string in quotes.
If the column types are different from what you expect them to be based on a
CREATE TABLE
statement, note that MySQL sometimes
changes column types. See section Silent Column Specification Changes.
This statement is provided for Oracle compatibility.
The SHOW
statement provides similar information.
See section SHOW
.
6.7.1 START TRANSACTION , COMMIT , and ROLLBACK Syntax | ||
6.7.2 SAVEPOINT and ROLLBACK TO SAVEPOINT Syntax | ||
6.7.3 LOCK TABLES and UNLOCK TABLES Syntax | ||
6.7.4 SET TRANSACTION Syntax |
START TRANSACTION
, COMMIT
, and ROLLBACK
Syntax By default, MySQL runs in autocommit mode. This means that as soon as you execute a statement that updates (modifies) a table, MySQL will store the update on disk.
If you are using transaction-safe tables (like InnoDB
or BDB
),
you can put MySQL into non-autocommit mode with the following command:
SET AUTOCOMMIT=0 |
After disabling autocommit mode by setting the AUTOCOMMIT
variable to
zero, you must use COMMIT
to store your changes to disk or
ROLLBACK
if you want to ignore the changes you have made since
the beginning of your transaction.
If you want to disable autocommit mode for a single series of
statements, you can use the START TRANSACTION
statement:
:
START TRANSACTION; SELECT @A:=SUM(salary) FROM table1 WHERE type=1; UPDATE table2 SET summmary=@A WHERE type=1; COMMIT; |
BEGIN
and BEGIN WORK
can be used instead of
START TRANSACTION
to initiate a transaction.
START TRANSACTION
was added to MySQL 4.0.11; it is SQL-99 syntax and
is the recommended way to start an ad-hoc transaction. BEGIN
and
BEGIN WORK
are available from MySQL 3.23.17 and 3.23.19, respectively.
Note that if you are not using transaction-safe tables, any changes will be stored at once, regardless of the status of autocommit mode.
If you issue a ROLLBACK
statement after updating a non-transactional
table, you will get an error (ER_WARNING_NOT_COMPLETE_ROLLBACK
) as
a warning. All transaction-safe tables will be restored but any
non-transaction-safe table will not change.
If you are using START TRANSACTION
or SET AUTOCOMMIT=0
, you
should use the MySQL binary log for backups instead of the
older update log. Transactions are stored in the binary log
in one chunk, upon COMMIT
, to ensure that transactions that are
rolled back are not stored. See section The Binary Log.
The following commands implicitly end a transaction (as if you had done
a COMMIT
before executing the command):
Command | Command | Command |
| | |
| | |
| | |
| | |
UNLOCK TABLES
also ends a transaction if any tables currently are
locked.
Transactions cannot be nested. This is a consequence of the implicit
COMMIT
performed for any current transaction when you issue a
START TRANSACTION
statement or one of its synonyms.
You can change the isolation level for transactions with
SET TRANSACTION ISOLATION LEVEL ...
. See section SET TRANSACTION
Syntax.
SAVEPOINT
and ROLLBACK TO SAVEPOINT
Syntax Starting from MySQL 4.0.14 and 4.1.1, InnoDB
supports the SQL commands
SAVEPOINT
and ROLLBACK TO SAVEPOINT
.
SAVEPOINT identifier |
This statement sets a named transaction savepoint whose name is
identifier
. If the current transaction already has a
savepoint with the same name, the old savepoint is deleted and a
new one is set.
ROLLBACK TO SAVEPOINT identifier |
This statement rolls back a transaction to the named savepoint.
Modifications that this transaction made to rows after the savepoint
was set are undone in the rollback, but InnoDB
does not
release the row locks that were stored in memory after the savepoint.
(Note that for a new inserted row, the lock information is carried by
the transaction ID stored in the row; the lock is not separately
stored in memory. In this case, the row lock is released in the undo.)
Savepoints that were set at a later time than the named savepoint are
deleted.
If the command returns the following error, it means that no savepoint with the specified name exists:
ERROR 1181: Got error 153 during ROLLBACK |
All savepoints of the current transaction are deleted if you execute a
COMMIT
, or a ROLLBACK
that does not name a savepoint.
LOCK TABLES
and UNLOCK TABLES
Syntax LOCK TABLES tbl_name [AS alias] {READ [LOCAL] | [LOW_PRIORITY] WRITE} [, tbl_name [AS alias] {READ [LOCAL] | [LOW_PRIORITY] WRITE} ...] ... UNLOCK TABLES |
LOCK TABLES
locks tables for the current thread. UNLOCK
TABLES
releases any locks held by the current thread. All tables that
are locked by the current thread are implicitly unlocked when the
thread issues another LOCK TABLES
, or when the connection to the
server is closed.
To use LOCK TABLES
in MySQL 4.0.2 you need the global
LOCK TABLES
privilege and a SELECT
privilege on the
involved tables. In MySQL 3.23 you need to have SELECT
,
insert
, DELETE
and UPDATE
privileges for the
tables.
The main reasons to use LOCK TABLES
are for emulating transactions
or getting more speed when updating tables. This is explained in more
detail later.
If a thread obtains a READ
lock on a table, that thread (and all other
threads) can only read from the table. If a thread obtains a WRITE
lock on a table, then only the thread holding the lock can read from
or write to the table. Other threads are blocked.
The difference between READ LOCAL
and READ
is that
READ LOCAL
allows non-conflicting INSERT
statements to
execute while the lock is held. This can't however be used if you are
going to manipulate the database files outside MySQL while you
hold the lock.
When you use LOCK TABLES
, you must lock all tables that you are
going to use and you must use the same alias that you are going to use
in your queries! If you are using a table multiple times in a query
(with aliases), you must get a lock for each alias!
WRITE
locks normally have higher priority than READ
locks, to
ensure that updates are processed as soon as possible. This means that if one
thread obtains a READ
lock and then another thread requests a
WRITE
lock, subsequent READ
lock requests will wait until the
WRITE
thread has gotten the lock and released it. You can use
LOW_PRIORITY WRITE
locks to allow other threads to obtain READ
locks while the thread is waiting for the WRITE
lock. You should only
use LOW_PRIORITY WRITE
locks if you are sure that there will
eventually be a time when no threads will have a READ
lock.
LOCK TABLES
works as follows:
This policy ensures that table locking is deadlock free. There is however other things one needs to be aware of with this schema:
If you are using a LOW_PRIORITY WRITE
lock for a table, this
means only that MySQL will wait for this particlar lock until
there is no threads that wants a READ
lock. When the thread has
got the WRITE
lock and is waiting to get the lock for the next
table in the lock table list, all other threads will wait for the
WRITE
lock to be released. If this becomes a serious problem
with your application, you should consider converting some of your
tables to transaction safe tables.
You can safely kill a thread that is waiting for a table lock with
KILL
. See section KILL
Syntax.
Note that you should not lock any tables that you are using with
INSERT DELAYED
. This is because that in this case the INSERT
is done by a separate thread.
Normally, you don't have to lock tables, as all single UPDATE
statements
are atomic; no other thread can interfere with any other currently executing
SQL statement. There are a few cases when you would like to lock tables
anyway:
READ
-locked table (including the one
holding the lock) and no thread can read a WRITE
-locked table other
than the one holding the lock.
The reason some things are faster under LOCK TABLES
is that
MySQL will not flush the key cache for the locked tables until
UNLOCK TABLES
is called (normally the key cache is flushed after
each SQL statement). This speeds up inserting/updateing/deletes on
MyISAM
tables.
LOCK TABLES
if you want to ensure that
no other thread comes between a SELECT
and an UPDATE
. The
example shown here requires LOCK TABLES
in order to execute safely:
mysql> LOCK TABLES trans READ, customer WRITE; mysql> SELECT SUM(value) FROM trans WHERE customer_id=some_id; mysql> UPDATE customer SET total_value=sum_from_previous_statement -> WHERE customer_id=some_id; mysql> UNLOCK TABLES; |
Without LOCK TABLES
, there is a chance that another thread might
insert a new row in the trans
table between execution of the
SELECT
and UPDATE
statements.
By using incremental updates (UPDATE customer SET
value=value+new_value
) or the LAST_INSERT_ID()
function, you can
avoid using LOCK TABLES
in many cases.
You can also solve some cases by using the user-level lock functions
GET_LOCK()
and RELEASE_LOCK()
. These locks are saved in a hash
table in the server and implemented with pthread_mutex_lock()
and
pthread_mutex_unlock()
for high speed.
See section Miscellaneous Functions.
See How MySQL Locks Tables, for more information on locking policy.
You can lock all tables in all databases with read locks with the
FLUSH TABLES WITH READ LOCK
command. See section FLUSH
Syntax. This is very
convenient way to get backups if you have a filesystem, like Veritas,
that can take snapshots in time.
NOTE: LOCK TABLES
is not transaction-safe and will
implicitly commit any active transactions before attempting to lock the
tables.
SET TRANSACTION
Syntax SET [GLOBAL | SESSION] TRANSACTION ISOLATION LEVEL { READ UNCOMMITTED | READ COMMITTED | REPEATABLE READ | SERIALIZABLE } |
Sets the transaction isolation level for the global, whole session or the next transaction.
The default behaviour is to set the isolation level for the next (not
started) transaction. If you use the GLOBAL
keyword, the statement
sets the default transaction level globally for all new connections
created from that point on. You will need the SUPER
privilege to do this. Using the SESSION
keyword sets the
default transaction level for all future transactions performed on the
current connection.
For description of each InnoDB
transaction isolation level, see
InnoDB and SET ... TRANSACTION ISOLATION LEVEL ...
.
You can set the default global isolation level for mysqld
with
--transaction-isolation=...
. See section mysqld
Command-line Options.
As of Version 3.23.23, MySQL has support for full-text indexing
and searching. Full-text indexes in MySQL are an index of type
FULLTEXT
. FULLTEXT
indexes are used with MyISAM
tables
only and can be created from CHAR
, VARCHAR
,
or TEXT
columns at CREATE TABLE
time or added later with
ALTER TABLE
or CREATE INDEX
. For large datasets, it will be
much faster to load your data into a table that has no FULLTEXT
index, then create the index with ALTER TABLE
(or CREATE
INDEX
). Loading data into a table that already has a FULLTEXT
index will be slower.
Full-text searching is performed with the MATCH()
function.
mysql> CREATE TABLE articles ( -> id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY, -> title VARCHAR(200), -> body TEXT, -> FULLTEXT (title,body) -> ); Query OK, 0 rows affected (0.00 sec) mysql> INSERT INTO articles VALUES -> (NULL,'MySQL Tutorial', 'DBMS stands for DataBase ...'), -> (NULL,'How To Use MySQL Efficiently', 'After you went through a ...'), -> (NULL,'Optimising MySQL','In this tutorial we will show ...'), -> (NULL,'1001 MySQL Tricks','1. Never run mysqld as root. 2. ...'), -> (NULL,'MySQL vs. YourSQL', 'In the following database comparison ...'), -> (NULL,'MySQL Security', 'When configured properly, MySQL ...'); Query OK, 6 rows affected (0.00 sec) Records: 6 Duplicates: 0 Warnings: 0 mysql> SELECT * FROM articles -> WHERE MATCH (title,body) AGAINST ('database'); +----+-------------------+------------------------------------------+ | id | title | body | +----+-------------------+------------------------------------------+ | 5 | MySQL vs. YourSQL | In the following database comparison ... | | 1 | MySQL Tutorial | DBMS stands for DataBase ... | +----+-------------------+------------------------------------------+ 2 rows in set (0.00 sec) |
The MATCH()
function performs a natural language search for a string
against a text collection (a set of one or more columns included in
a FULLTEXT
index). The search string is given as the argument to
AGAINST()
. The search is performed in case-insensitive fashion.
For every row in the table, MATCH()
returns a relevance value,
that is, a similarity measure between the search string and the text in
that row in the columns named in the MATCH()
list.
When MATCH()
is used in a WHERE
clause (see example above)
the rows returned are automatically sorted with highest relevance first.
Relevance values are non-negative floating-point numbers. Zero relevance
means no similarity. Relevance is computed based on the number of words
in the row, the number of unique words in that row, the total number of
words in the collection, and the number of documents (rows) that contain
a particular word.
It is also possible to perform a boolean mode search. This is explained later in the section.
The preceding example is a basic illustration showing how to use the
MATCH()
function. Rows are returned in order of decreasing
relevance.
The next example shows how to retrieve the relevance values explicitly.
As neither WHERE
nor ORDER BY
clauses are present, returned
rows are not ordered.
mysql> SELECT id,MATCH (title,body) AGAINST ('Tutorial') FROM articles; +----+-----------------------------------------+ | id | MATCH (title,body) AGAINST ('Tutorial') | +----+-----------------------------------------+ | 1 | 0.64840710366884 | | 2 | 0 | | 3 | 0.66266459031789 | | 4 | 0 | | 5 | 0 | | 6 | 0 | +----+-----------------------------------------+ 6 rows in set (0.00 sec) |
The following example is more complex. The query returns the relevance
and still sorts the rows in order of decreasing relevance. To achieve
this result, you should specify MATCH()
twice. This will cause no
additional overhead, because the MySQL optimiser will notice that the
two MATCH()
calls are identical and invoke the full-text search
code only once.
mysql> SELECT id, body, MATCH (title,body) AGAINST -> ('Security implications of running MySQL as root') AS score -> FROM articles WHERE MATCH (title,body) AGAINST -> ('Security implications of running MySQL as root'); +----+-------------------------------------+-----------------+ | id | body | score | +----+-------------------------------------+-----------------+ | 4 | 1. Never run mysqld as root. 2. ... | 1.5055546709332 | | 6 | When configured properly, MySQL ... | 1.31140957288 | +----+-------------------------------------+-----------------+ 2 rows in set (0.00 sec) |
MySQL uses a very simple parser to split text into words. A "word" is any sequence of characters consisting of letters, digits, `'', and `_'. Any "word" that is present in the stopword list or is just too short is ignored. The default minimum length of words that will be found by full-text searches is four characters. This can be changed as described in Fine-tuning MySQL Full-text Search.
Every correct word in the collection and in the query is weighted according to its significance in the query or collection. This way, a word that is present in many documents will have lower weight (and may even have a zero weight), because it has lower semantic value in this particular collection. Otherwise, if the word is rare, it will receive a higher weight. The weights of the words are then combined to compute the relevance of the row.
Such a technique works best with large collections (in fact, it was carefully tuned this way). For very small tables, word distribution does not reflect adequately their semantic value, and this model may sometimes produce bizarre results.
mysql> SELECT * FROM articles WHERE MATCH (title,body) AGAINST ('MySQL'); Empty set (0.00 sec) |
The search for the word MySQL
produces no results in the above
example, because that word is present in more than half the rows. As such,
it is effectively treated as a stopword (that is, a word with zero semantic
value). This is the most desirable behaviour - a natural language query
should not return every second row from a 1 GB table.
A word that matches half of rows in a table is less likely to locate relevant documents. In fact, it will most likely find plenty of irrelevant documents. We all know this happens far too often when we are trying to find something on the Internet with a search engine. It is with this reasoning that such rows have been assigned a low semantic value in this particular dataset.
As of Version 4.0.1, MySQL can also perform boolean full-text searches using
the IN BOOLEAN MODE
modifier.
mysql> SELECT * FROM articles WHERE MATCH (title,body) -> AGAINST ('+MySQL -YourSQL' IN BOOLEAN MODE); +----+------------------------------+-------------------------------------+ | id | title | body | +----+------------------------------+-------------------------------------+ | 1 | MySQL Tutorial | DBMS stands for DataBase ... | | 2 | How To Use MySQL Efficiently | After you went through a ... | | 3 | Optimising MySQL | In this tutorial we will show ... | | 4 | 1001 MySQL Tricks | 1. Never run mysqld as root. 2. ... | | 6 | MySQL Security | When configured properly, MySQL ... | +----+------------------------------+-------------------------------------+ |
This query retrieved all the rows that contain the word MySQL
(note: the 50% threshold is not used), but that do not contain
the word YourSQL
. Note that a boolean mode search does not
automatically sort rows in order of decreasing relevance. You can
see this from result of the preceding query, where the row with the
highest relevance (the one that contains MySQL
twice) is listed
last, not first. A boolean full-text search can also work even without
a FULLTEXT
index, although it would be slow.
The boolean full-text search capability supports the following operators:
+
A leading plus sign indicates that this word must be present in every row returned.
-
A leading minus sign indicates that this word must not be present in any row returned.
By default (when neither plus nor minus is specified) the word is optional,
but the rows that contain it will be rated higher. This mimicks the
behaviour of MATCH() ... AGAINST()
without the IN BOOLEAN
MODE
modifier.
< >
These two operators are used to change a word's contribution to the
relevance value that is assigned to a row. The <
operator
decreases the contribution and the >
operator increases it.
See the example below.
( )
Parentheses are used to group words into subexpressions.
~
A leading tilde acts as a negation operator, causing the word's
contribution to the row relevance to be negative. It's useful for marking
noise words. A row that contains such a word will be rated lower than
others, but will not be excluded altogether, as it would be with the
-
operator.
*
An asterisk is the truncation operator. Unlike the other operators, it should be appended to the word, not prepended.
"
The phrase, that is enclosed in double quotes "
, matches only
rows that contain this phrase literally, as it was typed.
And here are some examples:
apple banana
find rows that contain at least one of these words.
+apple +juice
... both words.
+apple macintosh
... word "apple", but rank it higher if it also contain "macintosh".
+apple -macintosh
... word "apple" but not "macintosh".
+apple +(>turnover <strudel)
... "apple" and "turnover", or "apple" and "strudel" (in any order), but rank "apple pie" higher than "apple strudel".
apple*
... "apple", "apples", "applesauce", and "applet".
"some words"
... "some words of wisdom", but not "some noise words".
6.8.1 Full-text Restrictions | ||
6.8.2 Fine-tuning MySQL Full-text Search | ||
6.8.3 Full-text Search TODO |
MyISAM
tables only.
MATCH()
function must be columns from the
same table that is part of the same FULLTEXT
index, unless the
MATCH()
is IN BOOLEAN MODE
.
MATCH()
column list must exactly match the column list in some
FULLTEXT
index definition for the table, unless this MATCH()
is IN BOOLEAN MODE
.
AGAINST()
must be a constant string.
Unfortunately, full-text search has few user-tunable parameters yet, although adding some is very high on the TODO. If you have a MySQL source distribution (see section Installing a MySQL Source Distribution), you can exert more control over full-text searching behaviour.
Note that full-text search was carefully tuned for the best searching effectiveness. Modifying the default behaviour will, in most cases, only make the search results worse. Do not alter the MySQL sources unless you know what you are doing!
The full-text variables described in the following list must be set at server startup time. You cannot modify them dynamically while the server is running.
ft_min_word_len
.
See section ft_min_word_len
.
(This variable is only available from MySQL version 4.0.)
The default value is four characters.
Change it to the value you prefer, and rebuild your FULLTEXT
indexes.
For example, if you want three-character words to be searchable, you can set
this variable by putting the following lines in an option file:
[mysqld] ft_min_word_len=3 |
Then restart the server and rebuild your FULLTEXT
indexes.
ft_stopword_file
variable.
See section ft_stopword_file
.
Rebuild your FULLTEXT
indexes after modifying the stopword list.
(This variable is only available from MySQL version 4.0.10 and onwards)
#define GWS_IN_USE GWS_PROB |
To:
#define GWS_IN_USE GWS_FREQ |
Then recompile MySQL.
There is no need to rebuild the indexes in this case.
Note: by doing this you severely decrease MySQL's ability
to provide adequate relevance values for the MATCH()
function.
If you really need to search for such common words, it would be better to
search using IN BOOLEAN MODE
instead, which does not observe the 50%
threshold.
ft_boolean_syntax
variable.
See section ft_boolean_syntax
.
Still, this variable is read-only; its value is set in
`myisam/ft_static.c'.
For full-text changes that require you to rebuild your FULLTEXT
indexes,
the easiest way to do so for a MyISAM
table is to use the following
statement, which rebuilds the index file:
mysql> REPAIR TABLE tbl_name QUICK; |
FULLTEXT
index faster.
MERGE
tables.
FULLTEXT
in CREATE/ALTER TABLE
).
From version 4.0.1, MySQL server
features a Query Cache
.
When in use, the query cache stores the text of a SELECT
query
together with the corresponding result that was sent to the client.
If an identical query is later received, the server will retrieve
the results from the query cache rather than parsing and executing the
same query again.
NOTE: The query cache does not return stale data. When data is modified, any relevant entries in the query cache are flushed.
The query cache is extremely useful in an environment where (some) tables don't change very often and you have a lot of identical queries. This is a typical situation for many web servers that use a lot of dynamic content.
Below is some performance data for the query cache. (These results were generated by running the MySQL benchmark suite on a Linux Alpha 2 x 500 MHz with 2 GB RAM and a 64 MB query cache):
query_cache_size=0
.
By disabling the query cache code there is no noticeable overhead.
(query cache can be excluded from code with help of configure option
--without-query-cache
)
6.9.1 How The Query Cache Operates | ||
6.9.2 Query Cache Configuration | ||
6.9.3 Query Cache Options in SELECT | ||
6.9.4 Query Cache Status and Maintenance |
Queries are compared before parsing, thus
SELECT * FROM tbl_name |
and
Select * from tbl_name |
are regarded as different queries for query cache, so queries need to be exactly the same (byte for byte) to be seen as identical. In addition, a query may be seen as different if for instance one client is using a new communication protocol format or another character set than another client.
Queries that uses different databases, uses different protocol versions or the uses different default character sets are considered different queries and cached separately.
The cache does work for SELECT SQL_CALC_FOUND_ROWS ...
and
SELECT FOUND_ROWS() ...
type queries because the number of
found rows is also stored in the cache.
If query result was returned from query cache then status variable
Com_select
will not be increased, but Qcache_hits
will be.
See section Query Cache Status and Maintenance.
If a table changes (INSERT
, UPDATE
, DELETE
,
TRUNCATE
, ALTER
or DROP TABLE|DATABASE
),
then all cached queries that used this table (possibly through a
MRG_MyISAM
table!) become invalid and are removed from the cache.
Transactional InnoDB
tables that have been changed will be invalidated
when a COMMIT
is performed.
In MySQL 4.0, the query cache is disabled inside of transactions (it does
not return results). Beginning with MySQL 4.1.1, the query cache will also
work inside of transactions when using InnoDB
tables (it will use the
table version number to detect if the data is still current or not).
Before MySQL 5.0, a query that begins with a leading comment might be cached, but could not be fetched from the cache. This problem is fixed in MySQL 5.0.
A query cannot be cached if it contains one of the functions:
Function | Function | Function |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
Nor can a query be cached if it contains user variables,
references the mysql system database,
is of the form SELECT ... IN SHARE MODE
,
SELECT ... INTO OUTFILE ...
,
SELECT ... INTO DUMPFILE ...
or
of the form SELECT * FROM AUTOINCREMENT_FIELD IS NULL
(to retrieve last insert id - ODBC work around).
However, FOUND_ROWS()
will return the correct value,
even if the preceding query was fetched from the cache.
In case a query does not use any tables, or uses temporary tables, or if the user has a column privilege for any of the involved tables, that query will not be cached.
Before a query is fetched from the query cache, MySQL will check that the user has SELECT privilege to all the involved databases and tables. If this is not the case, the cached result will not be used.
The query cache adds a few MySQL
system variables for
mysqld
which may be set in a configuration file, on the
command-line when starting mysqld
.
query_cache_limit
Don't cache results that are bigger than this. (Default 1M).
query_cache_min_res_unit
This variable is present from version 4.1.
The result of a query (the data that is also sent to the client) is stored
in the query cache during result retrieval. Therefore the data is usually
not handled in one big chunk. The query cache allocates blocks for storing
this data on demand, so when one block is filled, a new block is allocated.
Because memory allocation operation is costly (time wise), the query cache
allocates blocks with a minimum size of query_cache_min_res_unit
.
When a query is executed, the last result block is trimmed to the actual
data size, so that unused memory is freed.
query_cache_min_res_unit
is 4 KB which should
be adequate for most cases.
Qcache_free_blocks
), which can cause the query cache to have to
delete queries from the cache due to lack of memory
(Qcache_lowmem_prunes
)). In this case you should decrease
query_cache_min_res_unit
.
Qcache_total_blocks
and Qcache_queries_in_cache
), you can increase performance by
increasing query_cache_min_res_unit
. However, be careful to not
make it to large (see the previous point).
query_cache_size
The amount of memory (specified in bytes) allocated to store results from
old queries. If this is 0, the query cache is disabled (default).
query_cache_type
This may be set (only numeric) to
Option | Description |
0 | (OFF, don't cache or retrieve results) |
1 | (ON, cache all results except |
2 | (DEMAND, cache only |
Inside a thread (connection), the behaviour of the query cache can be changed from the default. The syntax is as follows:
QUERY_CACHE_TYPE = OFF | ON | DEMAND
QUERY_CACHE_TYPE = 0 | 1 | 2
Option | Description |
0 or OFF | Don't cache or retrieve results. |
1 or ON | Cache all results except |
2 or DEMAND | Cache only |
SELECT
There are two possible query cache related parameters that may be
specified in a SELECT
query:
Option | Description |
| If |
| Make this query non-cachable, don't allow this query to be stored in the cache. |
With the FLUSH QUERY CACHE
command you can defragment the query
cache to better utilise its memory. This command will not remove any
queries from the cache.
FLUSH TABLES
also flushes the query cache.
The RESET QUERY CACHE
command removes all query results from the
query cache.
You can check whether the query cache is present in your MySQL version:
mysql> SHOW VARIABLES LIKE 'have_query_cache'; +------------------+-------+ | Variable_name | Value | +------------------+-------+ | have_query_cache | YES | +------------------+-------+ 1 row in set (0.00 sec) |
You can monitor query cache performance in SHOW STATUS
:
Variable | Description |
| Number of queries registered in the cache. |
| Number of queries added to the cache. |
| Number of cache hits. |
| Number of queries that were deleted from cache because of low memory. |
| Number of non-cached queries
(not cachable, or due to |
| Amount of free memory for query cache. |
| Number of free memory blocks in query cache. |
| Total number of blocks in query cache. |
Total number of queries =
Qcache_inserts
+ Qcache_hits
+ Qcache_not_cached
.
The query cache uses variable length blocks, so Qcache_total_blocks
and Qcache_free_blocks
may indicate query cache memory fragmentation.
After FLUSH QUERY CACHE
only a single (big) free block remains.
Note: Every query needs a minimum of two blocks (one for the query text and one or more for the query results). Also, every table that is used by a query needs one block, but if two or more queries use same table only one block needs to be allocated.
You can use the Qcache_lowmem_prunes
status variable to tune the query
cache size. It counts the number of queries that have been removed from the
cache to free up memory for caching new queries. The query cache uses a
least recently used
(LRU
) strategy to decide which queries to
remove from the cache.
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Generated: 2007-01-26 17:58:45