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 recognizes the following escape sequences:
NUL) character.
n
t
r
b
'
"
\
%
_
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 below 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 "ThisnIsnFournlines"; +--------------------+ | This Is Four lines | +--------------------+
If you want to insert binary data into a BLOB column, the following
characters must be represented by escape sequences:
NUL
'
"
If you write C code, you can use the C API function
mysql_escape_string() to escape characters for the INSERT
statement. See section 22.3 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 22.5.2 The DBI interface.
You should use an escape function on any string that might contain any of the special characters listed above!
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.
MySQL supports hexadecimal values. In number context these acts like an integer (64 bit precision). In string context these acts like a binary string where each pair of hex digits is converted to a character.
mysql> SELECT 0xa+0
-> 10
mysql> select 0x5061756c;
-> Paul
Hexadecimal strings is often used by ODBC to give values for BLOB columns.
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 20.16 Problems with NULL values.
NULL may be represented by N when using the text file import
or export formats (LOAD DATA INFILE, SELECT ... INTO OUTFILE).
See section 7.18 LOAD DATA INFILE syntax.
Database, table, index, column and alias names all follow the same rules in MySQL:
Note that the rules changed starting with MySQL 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).
| Identifier | max length | Allowed characters |
| Database | 64 | Any character that is allowed in a directory name execpt /.
|
| Table | 64 | Any character that is allowed in 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) in an identifier.
Note that if the identifer is a restricted word or contains special character
you must always quote it with ` when you use it:
SELECT * from `select` where `select`.id > 100;
In previous versions of MySQL, the name rules are as follows:
--default-character-set option
to mysqld.
See section 10.1.1 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 |
col_name | Column col_name
from whichever table used in the query contains a column of that name
|
tbl_name.col_name | Column col_name from table
tbl_name of the current database
|
db_name.tbl_name.col_name | Column col_name from table
tbl_name of the database db_name. This form is available in
MySQL 3.22 or later.
|
`column_name` | 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 sensitive in Unix and case insensitive in Win32.
Note: Although database and table names are case insensitive for
Win32, 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 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;
Aliases on columns are case insensitive.
MySQL supports thread specific 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 10.1.1 The character set used for data and sorting.
Variables don't have to be initialized. 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 set a variable in an expression with the @variable:=expr
syntax:
select @t1:=(@t2:=1)+@t3:=4,@t1,@t2,@t3; +----------------------+------+------+------+ | @t1:=(@t2:=1)+@t3:=4 | @t1 | @t2 | @t3 | +----------------------+------+------+------+ | 5 | 5 | 1 | 4 | +----------------------+------+------+------+
(We had to use the := syntax here, because = was reserved for
comparisons.)
User variables may be used where expressions are allowed. Note that
this does not currently include use in 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 only
evaluated when it's sent to the client. This means that one can't
in the HAVING, GROUP BY or ORDER BY clause refer to an
expression that involves variables that are set in the SELECT part.
For example, the following statement will NOT work as expected:
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.
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 summarizes 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
D
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.
TINYINT[(M)] [UNSIGNED] [ZEROFILL]
-128 to 127. The
unsigned range is 0 to 255.
SMALLINT[(M)] [UNSIGNED] [ZEROFILL]
-32768 to 32767. The
unsigned range is 0 to 65535.
MEDIUMINT[(M)] [UNSIGNED] [ZEROFILL]
-8388608 to
8388607. The unsigned range is 0 to 16777215.
INT[(M)] [UNSIGNED] [ZEROFILL]
-2147483648 to
2147483647. The unsigned range is 0 to 4294967295.
INTEGER[(M)] [UNSIGNED] [ZEROFILL]
INT.
BIGINT[(M)] [UNSIGNED] [ZEROFILL]
-9223372036854775808 to
9223372036854775807. The unsigned range is 0 to
18446744073709551615. Note that all arithmetic is done using
signed BIGINT or DOUBLE values, so you shouldn't use
unsigned big integers larger than 9223372036854775807 (63 bits)
except with bit functions! Note that -, + and *
will use 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 if
the result is larger than 9223372036854775807.
FLOAT(precision) [ZEROFILL]
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) have the same ranges as the
corresponding FLOAT and DOUBLE types, but the display
size and number of decimals is undefined.
In MySQL 3.23, this is a true floating point value. In
earlier MySQL versions, FLOAT(precision) always has 2 decimals.
This syntax is provided for ODBC compatibility.
FLOAT[(M,D)] [ZEROFILL]
-3.402823466E+38 to
-1.175494351E-38, 0 and 1.175494351E-38 to
3.402823466E+38. The M is the display width and D is the
number of decimals. FLOAT without an argument or with an argument of
<= 24 stands for a single-precision floating point number.
DOUBLE[(M,D)] [ZEROFILL]
-1.7976931348623157E+308 to
-2.2250738585072014E-308, 0 and
2.2250738585072014E-308 to 1.7976931348623157E+308. The M
is the display width and D is the number of decimals. DOUBLE
without an argument or FLOAT(X) where 25 <= X <= 53 stands for a
double-precision floating point number.
DOUBLE PRECISION[(M,D)] [ZEROFILL]
REAL[(M,D)] [ZEROFILL]
DOUBLE.
DECIMAL[(M[,D])] [ZEROFILL]
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 is not counted in M. 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 D is left out it's set to 0. If M is left out it's set to 10.
Note that in MySQL 3.22 the M argument includes the sign
and the decimal point.
NUMERIC(M,D) [ZEROFILL]
DECIMAL.
DATE
'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.
DATETIME
'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.
TIMESTAMP[(M)]
'1970-01-01 00:00:00' to sometime in the
year 2037. MySQL displays TIMESTAMP values 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. 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 7.3.6 Date and time types.
TIME
'-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.
YEAR[(2|4)]
1901 to 2155, and 0000 in the 4 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 new in MySQL 3.22.)
[NATIONAL] CHAR(M) [BINARY]
M is 1 to 255 characters.
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.
NATIONAL CHAR (short form NCHAR) is the ANSI SQL way to
define that a CHAR column should use the default CHARACTER set. This is
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 only occupy one bit and can only take 2 values:
NULL or "".
[NATIONAL] VARCHAR(M) [BINARY]
M is 1 to 255 characters.
VARCHAR values are sorted and compared in case-insensitive fashion
unless the BINARY keyword is given. See section 7.7.1 Silent column specification changes.
VARCHAR is a shorthand for CHARACTER VARYING.
TINYBLOB
TINYTEXT
BLOB or TEXT column with a maximum length of 255 (2^8 - 1)
characters. See section 7.7.1 Silent column specification changes.
BLOB
TEXT
BLOB or TEXT column with a maximum length of 65535 (2^16 - 1)
characters. See section 7.7.1 Silent column specification changes.
MEDIUMBLOB
MEDIUMTEXT
BLOB or TEXT column with a maximum length of 16777215
(2^24 - 1) characters. See section 7.7.1 Silent column specification changes.
LONGBLOB
LONGTEXT
BLOB or TEXT column with a maximum length of 4294967295
(2^32 - 1) characters. See section 7.7.1 Silent column specification changes.
ENUM('value1','value2',...)
'value1', 'value2', ..., or NULL. An ENUM
can have a maximum of 65535 distinct values.
SET('value1','value2',...)
'value1', 'value2',
... A SET can have a maximum of 64 members.
The storage requirements for each of the column types supported by MySQL are listed below by category.
| Column type | Storage required |
TINYINT | 1 byte |
SMALLINT | 2 bytes |
MEDIUMINT | 3 bytes |
INT | 4 bytes |
INTEGER | 4 bytes |
BIGINT | 8 bytes |
FLOAT(X) | 4 if X <= 24 or 8 if 25 <= X <= 53 |
FLOAT | 4 bytes |
DOUBLE | 8 bytes |
DOUBLE PRECISION | 8 bytes |
REAL | 8 bytes |
DECIMAL(M,D) | M bytes (D+2, if M < D)
|
NUMERIC(M,D) | M bytes (D+2, if M < D)
|
| Column type | Storage required |
DATE | 3 bytes |
DATETIME | 8 bytes |
TIMESTAMP | 4 bytes |
TIME | 3 bytes |
YEAR | 1 byte |
| Column type | Storage required |
CHAR(M) | M bytes, 1 <= M <= 255
|
VARCHAR(M) | L+1 bytes, where L <= M and
1 <= M <= 255
|
TINYBLOB, TINYTEXT | L+1 bytes,
where L < 2^8
|
BLOB, TEXT | L+2 bytes,
where L < 2^16
|
MEDIUMBLOB, MEDIUMTEXT | L+3 bytes,
where L < 2^24
|
LONGBLOB, LONGTEXT | L+4 bytes,
where L < 2^32
|
ENUM('value1','value2',...) | 1 or 2 bytes, depending on the number of enumeration values (65535 values maximum) |
SET('value1','value2',...) | 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.
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 7.7.1 Silent column specification changes.
The size of an ENUM object is determined by the number of different
enumeration values. 1 byte is used for enumerations with up to 255 possible
values. 2 bytes are used for enumerations with up to 65535 values.
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.
MySQL supports all of the ANSI/ISO SQL92 numeric types. These
types include the exact numeric data types (NUMERIC,
DECIMAL, INTEGER, and SMALLINT), as well as the
approximate numeric data types (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 SQL92 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(9,2)
In this example, 9 (precision) represents the number of
significant decimal digits which will be stored for values, and
2 (scale) represents the number of digits which will be
stored following the decimal point. In this case, therefore, the range
of values which can be stored in the salary column is from
-9999999.99 to 9999999.99. In ANSI/ISO SQL92, 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 data types. 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 ANSI/ISO SQL92 standard, MySQL also
supports the integral 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 integral 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 which can be stored in the column, nor the number of digits which
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 integral column, you may experience
problems when MySQL generates temporary tables for some
complicated joins as in these case MySQL trust that the data
did fit into the original column width.
All integral 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.
The FLOAT type is used to represent approximate numeric data
types. The ANSI/ISO SQL92 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 ANSI/ISO SQL92
standard, MySQL recognizes 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 running in non-"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.
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
are 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
can of course not 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 (e.g.,
'09-04-98', '04-09-98').
TIME values are clipped to
the appropriate endpoint of the TIME range.) The table below
shows the format of the ``zero'' value for each type:
| Column type | ``Zero'' value |
DATETIME | '0000-00-00 00:00:00'
|
DATE | '0000-00-00'
|
TIMESTAMP | 00000000000000 (length depends on display size)
|
TIME | '00:00:00'
|
YEAR | 0000
|
'0' or 0, which are easier to write.
NULL in MyODBC 2.50.12 and above, because
ODBC can't handle such values.
MySQL itself is Y2K-safe (see section 1.7 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 than 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 initialize 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 table below. The
`full' TIMESTAMP format is 14 digits, but TIMESTAMP columns may
be created with shorter display sizes:
| Column type | Display format |
TIMESTAMP(14) | YYYYMMDDHHMMSS
|
TIMESTAMP(12) | YYMMDDHHMMSS
|
TIMESTAMP(10) | YYMMDDHHMM
|
TIMESTAMP(8) | YYYYMMDD
|
TIMESTAMP(6) | YYMMDD
|
TIMESTAMP(4) | YYMM
|
TIMESTAMP(2) | YY
|
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.
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, month 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.
00-69 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. 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 '11:12', '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'.
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 than 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.
The string types are CHAR, VARCHAR, BLOB, TEXT,
ENUM and SET.
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 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 ANSI
SQL specification.)
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 table below 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 | CHAR(4) | Storage required | VARCHAR(4) | Storage required |
'' | ' ' | 4 bytes | '' | 1 byte |
'ab' | 'ab ' | 4 bytes | 'ab' | 3 bytes |
'abcd' | 'abcd' | 4 bytes | 'abcd' | 5 bytes |
'abcdefgh' | 'abcd' | 4 bytes | 'abcd' | 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.
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 7.7.1 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 7.3.1 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.
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 versions 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.
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, but you must
do so on both the server and client ends. See section 12.2.3 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.
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 below. The index of each value is also shown:
| Value | Index |
NULL | NULL
|
"" | 0 |
"one" | 1 |
"two" | 2 |
"three" | 3 |
An enumeration can have a maximum of 65535 elements.
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. If you store a number into an ENUM, the number is
treated as an index, and the the value stored is the enumeration member with
that index. (However, this will not work with LOAD DATA, which treats
all input as strings.)
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.
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.
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. 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:
SET member | Decimal value | Binary value |
a | 1 | 0001
|
b | 2 | 0010
|
c | 4 | 0100
|
d | 8 | 1000
|
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.
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.
All MySQL column types can be indexed. Use of indexes on the
relevant columns is the best way to improve the performance of SELECT
operations.
A table may have up to 16 indexes. The maximum index length is 256 bytes, although this may be changed when compiling MySQL.
For CHAR and VARCHAR columns, you can index a prefix of a
column. This is much faster and requires less disk space than indexing the
whole column. The syntax to use in the CREATE TABLE statement to
index a column prefix looks like this:
KEY index_name (col_name(length))
The example below creates an index for the first 10 characters of the
name column:
mysql> CREATE TABLE test (
name CHAR(200) NOT NULL,
KEY index_name (name(10)));
For BLOB and TEXT columns, you must index a prefix of the
column, you cannot index the entire thing.
MySQL can create indexes on multiple columns. An index may
consist of up to 15 columns. (On CHAR and VARCHAR columns you
can also use a prefix of the column as a part of an index).
A multiple-column index can be considered a sorted array containing values that are created by concatenating the values of the indexed columns.
MySQL uses multiple-column indexes in such a way that queries are
fast when you specify a known quantity for the first column of the index in a
WHERE clause, even if you don't specify values for the other columns.
Suppose a table is created using the following specification:
mysql> CREATE TABLE test (
id INT NOT NULL,
last_name CHAR(30) NOT NULL,
first_name CHAR(30) NOT NULL,
PRIMARY KEY (id),
INDEX name (last_name,first_name));
Then the index name is an index over last_name and
first_name. The index will be used for queries that specify
values in a known range for last_name, or for both last_name
and first_name.
Therefore, the name index will be used in the following queries:
mysql> SELECT * FROM test WHERE last_name="Widenius";
mysql> SELECT * FROM test WHERE last_name="Widenius"
AND first_name="Michael";
mysql> SELECT * FROM test WHERE last_name="Widenius"
AND (first_name="Michael" OR first_name="Monty");
mysql> SELECT * FROM test WHERE last_name="Widenius"
AND first_name >="M" AND first_name < "N";
However, the name index will NOT be used in the following queries:
mysql> SELECT * FROM test WHERE first_name="Michael";
mysql> SELECT * FROM test WHERE last_name="Widenius"
OR first_name="Michael";
For more information on the manner in which MySQL uses indexes to improve query performance, see section 12.4 How MySQL uses indexes.
To make it easier to use code written for SQL implementations from other vendors, MySQL maps column types as shown in the table below. These mappings make it easier to move table definitions from other database engines to MySQL:
| Other vendor type | MySQL type |
BINARY(NUM) | CHAR(NUM) BINARY
|
CHAR VARYING(NUM) | VARCHAR(NUM)
|
FLOAT4 | FLOAT
|
FLOAT8 | DOUBLE
|
INT1 | TINYINT
|
INT2 | SMALLINT
|
INT3 | MEDIUMINT
|
INT4 | INT
|
INT8 | BIGINT
|
LONG VARBINARY | MEDIUMBLOB
|
LONG VARCHAR | MEDIUMTEXT
|
MIDDLEINT | MEDIUMINT
|
VARBINARY(NUM) | VARCHAR(NUM) BINARY
|
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.
SELECT and WHERE clauses
A select_expression or where_definition in a 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 parenthesis 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.
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
( ... )
mysql> select 1+2*3;
-> 7
mysql> select (1+2)*3;
-> 9
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!
+
mysql> select 3+5;
-> 8
-
mysql> select 3-5;
-> -2
*
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.
/
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!
MySQL uses BIGINT (64-bit) arithmetic for bit operations, so
these operators have a maximum range of 64 bits.
|
mysql> select 29 | 15;
-> 31
&
mysql> select 29 & 15;
-> 13
<<
BIGINT) number to the left.
mysql> select 1 << 2
-> 4
>>
BIGINT) number to the right.
mysql> select 4 >> 2
-> 1
~
mysql> select 5 & ~1
-> 4
BIT_COUNT(N)
N.
mysql> select BIT_COUNT(29);
-> 4
All logical functions return 1 (TRUE) or 0 (FALSE).
NOT
!
1 if the argument is 0, otherwise returns
0.
Exception: NOT NULL returns NULL.
mysql> select NOT 1;
-> 0
mysql> select NOT NULL;
-> NULL
mysql> select ! (1+1);
-> 0
mysql> select ! 1+1;
-> 1
The last example returns 1 because the expression evaluates
the same way as (!1)+1.
OR
||
1 if either argument is not 0 and not
NULL.
mysql> select 1 || 0;
-> 1
mysql> select 0 || 0;
-> 0
mysql> select 1 || NULL;
-> 1
AND
&&
0 if either argument is 0 or NULL,
otherwise returns 1.
mysql> select 1 && NULL;
-> 0
mysql> select 1 && 0;
-> 0
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).
The examples below 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
=
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
<>
!=
mysql> select '.01' <> '0.01';
-> 1
mysql> select .01 <> '0.01';
-> 0
mysql> select 'zapp' <> 'zappp';
-> 1
<=
mysql> select 0.1 <= 2;
-> 1
<
mysql> select 2 <= 2;
-> 1
>=
mysql> select 2 >= 2;
-> 1
>
mysql> select 2 > 2;
-> 0
<=>
mysql> select 1 <=> 1, NULL <=> NULL, 1 <=> NULL;
-> 1 1 0
IS NULL
IS NOT NULL
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
expr BETWEEN min AND max
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. The first argument (expr) determines how the
comparison is performed as follows:
expr is a TIMESTAMP, DATE or DATETIME
column, min and max are formatted to the same format if they
are constants.
expr is a case-insensitive string expression, a case-insensitive
string comparison is done.
expr is a case-sensitive string expression, a case-sensitive
string comparison is done.
expr is an integer expression, an integer comparison is done.
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 IN (value,...)
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
expr NOT IN (value,...)
NOT (expr IN (value,...)).
ISNULL(expr)
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)
NULL element in list.
mysql> select COALESCE(NULL,1);
-> 1
mysql> select COALESCE(NULL,NULL,NULL);
-> NULL
INTERVAL(N,N1,N2,N3,...)
0 if N < N1, 1 if N < N2
and so on. 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
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']
1 (TRUE) or 0
(FALSE). With LIKE you can use the following two wildcard characters
in the pattern:
% | 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:
% | Matches one % character
|
_ | Matches one _ character
|
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
LIKE is allowed on numeric expressions! (This is a MySQL
extension to the ANSI SQL LIKE.)
mysql> select 10 LIKE '1%';
-> 1
Note: Because MySQL uses the C escape syntax in strings (e.g.,
`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).
expr NOT LIKE pat [ESCAPE 'escape-char']
NOT (expr LIKE pat [ESCAPE 'escape-char']).
expr REGEXP pat
expr RLIKE pat
expr against a pattern
pat. The pattern can be an extended regular expression.
See section I Description of MySQL regular expression syntax. 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 (e.g., `n'), you must double any `' that you
use in your REGEXP strings. In MySQL 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
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
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
BINARYBINARY 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 was introduced in MySQL 3.23.0
IFNULL(expr1,expr2)
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(0,10);
-> 0
mysql> select IFNULL(1/0,10);
-> 10
mysql> select IFNULL(1/0,'yes');
-> 'yes'
NULLIF(expr1,expr2)
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);
-> 1
mysql> select NULLIF(1,2);
-> NULL
Note that expr1 is evaluated twice in MySQL if the arguments
are equal.
IF(expr1,expr2,expr3)
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'
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 stored into
a temporary table) is calculated in MySQL 3.23 as follows:
| expr2 or expr3 returns string | string |
| expr2 or expr3 returns a floating point value | floating point |
| expr2 or expr3 returns an integer | integer |
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
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
All mathematical functions return NULL in case of an error.
-
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)
X.
mysql> select ABS(2);
-> 2
mysql> select ABS(-32);
-> 32
This function is safe to use with BIGINT values.
SIGN(X)
-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)
%
% 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
This function is safe to use with BIGINT values.
FLOOR(X)
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)
X.
mysql> select CEILING(1.23);
-> 2
mysql> select CEILING(-1.23);
-> -1
Note that the return value is converted to a BIGINT!
ROUND(X)
X, rounded to the nearest integer.
mysql> select ROUND(-1.23);
-> -1
mysql> select ROUND(-1.58);
-> -2
mysql> select ROUND(1.58);
-> 2
ROUND(X,D)
X, rounded to a number with D decimals.
If D is 0, the result will have no decimal point or fractional
part.
mysql> select ROUND(1.298, 1);
-> 1.3
mysql> select ROUND(1.298, 0);
-> 1
EXP(X)
e (the base of natural logarithms) raised to
the power of X.
mysql> select EXP(2);
-> 7.389056
mysql> select EXP(-2);
-> 0.135335
LOG(X)
X.
mysql> select LOG(2);
-> 0.693147
mysql> select LOG(-2);
-> NULL
If you want the log of a number X to some arbitary base B, use
the formula LOG(X)/LOG(B).
LOG10(X)
X.
mysql> select LOG10(2);
-> 0.301030
mysql> select LOG10(100);
-> 2.000000
mysql> select LOG10(-100);
-> NULL
POW(X,Y)
POWER(X,Y)
X raised to the power of Y.
mysql> select POW(2,2);
-> 4.000000
mysql> select POW(2,-2);
-> 0.250000
SQRT(X)
X.
mysql> select SQRT(4);
-> 2.000000
mysql> select SQRT(20);
-> 4.472136
PI()
mysql> select PI();
-> 3.141593
COS(X)
X, where X is given in radians.
mysql> select COS(PI());
-> -1.000000
SIN(X)
X, where X is given in radians.
mysql> select SIN(PI());
-> 0.000000
TAN(X)
X, where X is given in radians.
mysql> select TAN(PI()+1);
-> 1.557408
ACOS(X)
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)
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)
X, that is, the value whose tangent is
X.
mysql> select ATAN(2);
-> 1.107149
mysql> select ATAN(-2);
-> -1.107149
ATAN2(X,Y)
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 ATAN(PI(),0);
-> 1.570796
COT(X)
X.
mysql> select COT(12);
-> -1.57267341
mysql> select COT(0);
-> NULL
RAND()
RAND(N)
0 to 1.0.
If an integer argument N is specified, it is used as the seed value.
mysql> select RAND();
-> 0.5925
mysql> select RAND(20);
-> 0.1811
mysql> select RAND(20);
-> 0.1811
mysql> select RAND();
-> 0.2079
mysql> select RAND();
-> 0.7888
You can't use a column with RAND() values in an ORDER BY
clause, because ORDER BY would evaluate the column multiple times.
In MySQL 3.23, you can however 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.
LEAST(X,Y,...)
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 3.22.5, you can use MIN() instead
of LEAST.
GREATEST(X,Y,...)
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 3.22.5, you can use MAX() instead
of GREATEST.
DEGREES(X)
X, converted from radians to degrees.
mysql> select DEGREES(PI());
-> 180.000000
RADIANS(X)
X, converted from degrees to radians.
mysql> select RADIANS(90);
-> 1.570796
TRUNCATE(X,D)
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
String-valued functions return NULL if the length of the result would
be greater than the max_allowed_packet server parameter. See section 12.2.3 Tuning server parameters.
For functions that operate on string positions, the first position is numbered 1.
ASCII(str)
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)
((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 as the like ASCII() function does.
mysql> select ORD('2');
-> 50
CONV(N,from_base,to_base)
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)
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)
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)
N, where
N is a longlong (BIGINT) number. This is equivalent to
CONV(N,10,16). Returns NULL if N is NULL.
mysql> select HEX(255);
-> 'FF'
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,...)
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 irst 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 NULLs and empty strings, 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'
LENGTH(str)
OCTET_LENGTH(str)
CHAR_LENGTH(str)
CHARACTER_LENGTH(str)
str.
mysql> select LENGTH('text');
-> 4
mysql> select OCTET_LENGTH('text');
-> 4
Note that for CHAR_LENGTH(), multi-byte characters are only counted once.
LOCATE(substr,str)
POSITION(substr IN str)
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.
LOCATE(substr,str,pos)
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.
INSTR(str,substr)
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.
LPAD(str,len,padstr)
str, left-padded with the string
padstr until str is len characters long.
mysql> select LPAD('hi',4,'??');
-> '??hi'
RPAD(str,len,padstr)
str, right-padded with the string
padstr until str is len characters long.
mysql> select RPAD('hi',5,'?');
-> 'hi???'
LEFT(str,len)
len characters from the string str.
mysql> select LEFT('foobarbar', 5);
-> 'fooba'
This function is multi-byte safe.
RIGHT(str,len)
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)
len characters long from string str,
starting at position pos.
The variant form that uses FROM is ANSI SQL92 syntax.
mysql> select SUBSTRING('Quadratically',5,6);
-> 'ratica'
This function is multi-byte safe.
SUBSTRING(str,pos)
SUBSTRING(str FROM pos)
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)
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)
str with leading space characters removed.
mysql> select LTRIM(' barbar');
-> 'barbar'
RTRIM(str)
str with trailing space characters removed.
mysql> select RTRIM('barbar ');
-> 'barbar'
This function is multi-byte safe.
TRIM([[BOTH | LEADING | TRAILING] [remstr] FROM] str)
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)
str. Two strings that sound ``about 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)
N space characters.
mysql> select SPACE(6);
-> ' '
REPLACE(str,from_str,to_str)
str with all 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)
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)
str with the order of the characters reversed.
mysql> select REVERSE('abc');
-> 'cba'
This function is multi-byte safe.
INSERT(str,pos,len,newstr)
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,...)
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,...)
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)
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 optimized 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,...)
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]])
mysql> select EXPORT_SET(5,'Y','N',',',4)
-> Y,N,Y,N
LCASE(str)
LOWER(str)
str with all characters changed to lowercase
according to the current character set mapping (the default is ISO-8859-1
Latin1).
This function is multi-byte safe.
mysql> select LCASE('QUADRATICALLY');
-> 'quadratically'
UCASE(str)
UPPER(str)
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)
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 table_name
SET blob_column=LOAD_FILE("/tmp/picture")
WHERE id=1;
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.
See section 7.3.6 Date and time types for a description of the range of values each type has, and the valid formats in which date and time values may be specified.
Here is an example that uses date functions. The query below selects
all records with a date_col value from within the last 30 days:
mysql> SELECT something FROM table
WHERE TO_DAYS(NOW()) - TO_DAYS(date_col) <= 30;
DAYOFWEEK(date)
date (1 = Sunday, 2 = Monday, ... 7 = Saturday).
These index values correspond to the ODBC standard.
mysql> select DAYOFWEEK('1998-02-03');
-> 3
WEEKDAY(date)
date (0 = Monday, 1 = Tuesday, ... 6 = Sunday).
mysql> select WEEKDAY('1997-10-04 22:23:00');
-> 5
mysql> select WEEKDAY('1997-11-05');
-> 2
DAYOFMONTH(date)
date, in the range 1 to
31.
mysql> select DAYOFMONTH('1998-02-03');
-> 3
DAYOFYEAR(date)
date, in the range 1 to
366.
mysql> select DAYOFYEAR('1998-02-03');
-> 34
MONTH(date)
date, in the range 1 to 12.
mysql> select MONTH('1998-02-03');
-> 2
DAYNAME(date)
date.
mysql> select DAYNAME("1998-02-05");
-> 'Thursday'
MONTHNAME(date)
date.
mysql> select MONTHNAME("1998-02-05");
-> 'February'
QUARTER(date)
date, in the range 1
to 4.
mysql> select QUARTER('98-04-01');
-> 2
WEEK(date)
WEEK(date,first)
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. The week starts on Sunday if the
second argument is 0, on Monday if the second argument is
1.
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
YEAR(date)
date, in the range 1000 to 9999.
mysql> select YEAR('98-02-03');
-> 1998
YEARWEEK(date)
YEARWEEK(date,first)
WEEK(). Note that the year 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
HOUR(time)
time, in the range 0 to 23.
mysql> select HOUR('10:05:03');
-> 10
MINUTE(time)
time, in the range 0 to 59.
mysql> select MINUTE('98-02-03 10:05:03');
-> 5
SECOND(time)
time, in the range 0 to 59.
mysql> select SECOND('10:05:03');
-> 3
PERIOD_ADD(P,N)
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)
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)
ADDDATE(date,INTERVAL expr type)
SUBDATE(date,INTERVAL expr type)
ADDDATE() and SUBDATE() are synonyms for
DATE_ADD() and DATE_SUB().
In MySQL 3.23, you can use + and - instead of
DATE_ADD() and DATE_SUB(). (See example)
date is a DATETIME or DATE value specifying the starting
date. expr is an expression specifying the interval value to be added
or substracted 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 EXTRACT(type FROM date) function returns the 'type'
interval from the date.
The following table shows how the type and expr arguments
are related:
type value | Meaning | Expected expr format
|
SECOND | Seconds | SECONDS
|
MINUTE | Minutes | MINUTES
|
HOUR | Hours | HOURS
|
DAY | Days | DAYS
|
MONTH | Months | MONTHS
|
YEAR | Years | YEARS
|
MINUTE_SECOND | Minutes and seconds | "MINUTES:SECONDS"
|
HOUR_MINUTE | Hours and minutes | "HOURS:MINUTES"
|
DAY_HOUR | Days and hours | "DAYS HOURS"
|
YEAR_MONTH | Years and months | "YEARS-MONTHS"
|
HOUR_SECOND | Hours, minutes, | "HOURS:MINUTES:SECONDS"
|
DAY_MINUTE | Days, hours, minutes | "DAYS HOURS:MINUTES"
|
DAY_SECOND | Days, hours, minutes, seconds | "DAYS HOURS:MINUTES:SECONDS"
|
expr format.
The ones 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 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
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.
If you use really incorrect 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 word INTERVAL and the
type keyword are not case sensitive.
TO_DAYS(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 calender was changed.
FROM_DAYS(N)
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 calender was changed.
DATE_FORMAT(date,format)
date value according to the format string. The
following specifiers may be used in the format string:
%M | Month name (January..December)
|
%W | Weekday name (Sunday..Saturday)
|
%D | Day of the month with english suffix (1st, 2nd, 3rd, etc.)
|
%Y | Year, numeric, 4 digits |
%y | Year, numeric, 2 digits |
%X | Year for the week where Sunday is the first day of the week, numeric, 4 digits, used with '%V' |
%x | Year for the week, where Monday is the first day of the week, numeric, 4 digits, used with '%v' |
%a | Abbreviated weekday name (Sun..Sat)
|
%d | Day of the month, numeric (00..31)
|
%e | Day of the month, numeric (0..31)
|
%m | Month, numeric (01..12)
|
%c | Month, numeric (1..12)
|
%b | Abbreviated month name (Jan..Dec)
|
%j | Day of year (001..366)
|
%H | Hour (00..23)
|
%k | Hour (0..23)
|
%h | Hour (01..12)
|
%I | Hour (01..12)
|
%l | Hour (1..12)
|
%i | Minutes, numeric (00..59)
|
%r | Time, 12-hour (hh:mm:ss [AP]M)
|
%T | Time, 24-hour (hh:mm:ss)
|
%S | Seconds (00..59)
|
%s | Seconds (00..59)
|
%p | AM or PM
|
%w | Day of the week (0=Sunday..6=Saturday)
|
%U | Week (0..53), where Sunday is the first day of the week
|
%u | Week (0..53), where Monday is the first day of the week
|
%V | Week (1..53), where Sunday is the first day of the week. Used with '%X'
|
%v | Week (1..53), where Monday is the first day of the week. Used with '%x'
|
%% | A literal `%'. |
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'
As of MySQL 3.23, the % character is required before
format specifier characters. In earlier versions of MySQL,
% was optional.
TIME_FORMAT(time,format)
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.
CURDATE()
CURRENT_DATE
'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
'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
'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)
'1970-01-01 00:00:00' GMT). 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
will receive the value directly, with no implicit
``string-to-unix-timestamp'' conversion.
FROM_UNIXTIME(unix_timestamp)
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
FROM_UNIXTIME(unix_timestamp,format)
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');
-> '1997 23rd December 03:43:30 x'
SEC_TO_TIME(seconds)
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)
time argument, converted to seconds.
mysql> select TIME_TO_SEC('22:23:00');
-> 80580
mysql> select TIME_TO_SEC('00:39:38');
-> 2378
DATABASE()
mysql> select DATABASE();
-> 'test'
If there is no current database, DATABASE() returns the empty string.
USER()
SYSTEM_USER()
SESSION_USER()
mysql> select USER();
-> 'davida@localhost'
In MySQL 3.22.11 or later, this includes the client hostname as well as the
user name. You can extract just the user name part like this (which works
whether or not the value includes a hostname part):
mysql> select substring_index(USER(),"@",1);
-> 'davida'
PASSWORD(str)
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. You should not assume that if your Unix
password and your MySQL password are the same, PASSWORD()
will result in the same encrypted value as is stored in the Unix password
file. See ENCRYPT().
ENCRYPT(str[,salt])
str using the Unix crypt() system call. The
salt argument should be a string with two characters.
(As of MySQL 3.22.16, salt may be longer than two characters.)
mysql> select ENCRYPT("hello");
-> 'VxuFAJXVARROc'
If crypt() is not available on your system, ENCRYPT() always
returns NULL.
ENCRYPT() ignores all but the first 8 characters of str, at
least on some systems. This will be determined by the behavior of the
underlying crypt() system call.
ENCODE(str,pass_str)
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)
crypt_str using pass_str as the
password. crypt_str should be a string returned from
ENCODE().
MD5(string)
mysql> select MD5("testing")
-> 'ae2b1fca515949e5d54fb22b8ed95575'
This is an "RSA Data Security, Inc. MD5 Message-Digest Algorithm".
LAST_INSERT_ID([expr])
AUTO_INCREMENT column.
See section 22.4.30 mysql_insert_id().
mysql> select LAST_INSERT_ID();
-> 195
The last ID that was generated is maintained in the server on a
per-connection basis. It will not be changed by another client. It will not
even be changed if you update another AUTO_INCREMENT column with a
non-magic value (that is, a value that is not NULL and not 0).
If expr is given as an argument to LAST_INSERT_ID() in an
UPDATE clause, then the value of the argument is returned as a
LAST_INSERT_ID() value. 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. 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.
FORMAT(X,D)
X to a format like '#,###,###.##', rounded
to D decimals. 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()
mysql> select VERSION();
-> '3.23.13-log'
Note that if your version ends with -log this means that logging is
enabled.
CONNECTION_ID()
thread_id) for the connection.
Every connection has its own unique id.
mysql> select CONNECTION_ID();
-> 1
GET_LOCK(str,timeout)
str, with a
timeout of timeout seconds. Returns 1 if the lock was obtained
successfully, 0 if the attempt timed out, 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. This function can be used to implement application locks or to
simulate record locks. It blocks requests by other clients for locks with
the same name; clients that agree on a given lock string name can use the
string to perform cooperative advisory locking.
mysql> select GET_LOCK("lock1",10);
-> 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)
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.
BENCHMARK(count,expr)
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)
mysql> select INET_NTOA(3520061480);
-> "209.207.224.40"
INET_NTOA(expr)
mysql> select INET_ATON("209.207.224.40");
-> 3520061480
GROUP BY clauses
If you use a group function in a statement containing no GROUP BY
clause, it is equivalent to grouping on all rows.
COUNT(expr)
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 optimized 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;
COUNT(DISTINCT expr,[expr...])
mysql> select COUNT(DISTINCT results) from student;In MySQL you can get the number of distinct expressions combinations by giving a list of expressions. In ANSI SQL you would have to do a concatenation of all expressions inside
CODE(DISTINCT ..).
AVG(expr)
expr.
mysql> select student_name, AVG(test_score)
from student
GROUP BY student_name;
MIN(expr)
MAX(expr)
expr. MIN() and
MAX() may take a string argument; in such cases they return the
minimum or maximum string value.
mysql> select student_name, MIN(test_score), MAX(test_score)
from student
GROUP BY student_name;
SUM(expr)
expr. Note that if the return set has no rows,
it returns NULL!
STD(expr)
STDDEV(expr)
expr. This is an extension to
ANSI SQL.
The STDDEV() form of this function is provided for Oracle compatability.
BIT_OR(expr)
OR of all bits in expr. The calculation is
performed with 64-bit (BIGINT precision.
BIT_AND(expr)
AND of all bits in expr. The calculation is
performed with 64-bit (BIGINT precision.
MySQL has extended the use of GROUP BY. You can use columns or
calculations in the SELECT expressions which 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 ANSI 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!
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(sort,space(6-length(sort)),column),7,length(column)))
Note that if you are using MySQL 3.22 (or earlier) or if you
are trying to follow ANSI SQL, 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 3.23 you can do:
mysql> SELECT id,FLOOR(value/100) FROM tbl_name ORDER BY RAND();
CREATE DATABASE syntaxCREATE DATABASE [IF NOT EXISTS] db_name
CREATE DATABASE creates a database with the given name. Rules for
allowable database names are given in section 7.1.5 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 14.1 Overview of the different MySQL programs.
DROP DATABASE syntaxDROP DATABASE [IF EXISTS] db_name
DROP DATABASE drops all tables in the database and deletes the
database. 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 each table corresponds to a `.MYD' file, a `.MYI' file and a
`.frm' file.
In MySQL 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 14.1 Overview of the different MySQL programs.
CREATE TABLE syntax
CREATE [TEMPORARY] TABLE [IF NOT EXISTS] tbl_name [(create_definition,...)]
[table_options] [select_statement]
create_definition:
col_name type [NOT NULL | NULL] [DEFAULT default_value] [AUTO_INCREMENT]
[PRIMARY KEY] [reference_definition]
or PRIMARY KEY (index_col_name,...)
or KEY [index_name] (index_col_name,...)
or INDEX [index_name] (index_col_name,...)
or UNIQUE [INDEX] [index_name] (index_col_name,...)
or [CONSTRAINT symbol] FOREIGN KEY index_name (index_col_name,...)
[reference_definition]
or CHECK (expr)
type:
TINYINT[(length)] [UNSIGNED] [ZEROFILL]
or SMALLINT[(length)] [UNSIGNED] [ZEROFILL]
or MEDIUMINT[(length)] [UNSIGNED] [ZEROFILL]
or INT[(length)] [UNSIGNED] [ZEROFILL]
or INTEGER[(length)] [UNSIGNED] [ZEROFILL]
or BIGINT[(length)] [UNSIGNED] [ZEROFILL]
or REAL[(length,decimals)] [UNSIGNED] [ZEROFILL]
or DOUBLE[(length,decimals)] [UNSIGNED] [ZEROFILL]
or FLOAT[(length,decimals)] [UNSIGNED] [ZEROFILL]
or DECIMAL(length,decimals) [UNSIGNED] [ZEROFILL]
or NUMERIC(length,decimals) [UNSIGNED] [ZEROFILL]
or CHAR(length) [BINARY]
or VARCHAR(length) [BINARY]
or DATE
or TIME
or TIMESTAMP
or DATETIME
or TINYBLOB
or BLOB
or MEDIUMBLOB
or LONGBLOB
or TINYTEXT
or TEXT
or MEDIUMTEXT
or LONGTEXT
or ENUM(value1,value2,value3,...)
or 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:
TYPE = {ISAM | MYISAM | HEAP}
or AUTO_INCREMENT = #
or AVG_ROW_LENGTH = #
or CHECKSUM = {0 | 1}
or COMMENT = "string"
or MAX_ROWS = #
or MIN_ROWS = #
or PACK_KEYS = {0 | 1}
or PASSWORD = "string"
or DELAY_KEY_WRITE = {0 | 1}
or ROW_FORMAT= { default | dynamic | static | compressed }
or RAID_TYPE= {1 | STRIPED | RAID0 } RAID_CHUNKS=# RAID_CHUNKSIZE=#;
select_statement:
[IGNORE | REPLACE] SELECT ... (Some legal select statement)
CREATE TABLE
creates a table with the given name in the current database. Rules for
allowable table names are given in section 7.1.5 Database, table, index, column and alias names. An error occurs if
there is no current database or if the table already exists.
In MySQL 3.22 or later, the table name can be specified as
db_name.tbl_name. This works whether or not there is a current
database.
In MySQL 3.23, you can use the TEMPORARY keyword when you
create a table. A temporary table will automatically be deleted if a
connection dies and the name is per connection. 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).
In MySQL 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 table structures are identical.
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 |
tbl_name.frm | Table definition (form) file |
tbl_name.MYD | Data file |
tbl_name.MYI | Index file |
For more information on the properties of the various column types, see section 7.3 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
AUTO_INCREMENT column, the column is set to value+1, where
value is the largest value for the column currently in the table.
AUTO_INCREMENT sequences begin with 1.
See section 22.4.30 mysql_insert_id().
If you delete the row containing the maximum value for an
AUTO_INCREMENT column, the value will be reused with an ISAM
table but not with a MyISAM 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 both table types.
Note: There can be only one AUTO_INCREMENT column per
table, and it must be indexed. MySQL 3.23 will also only work
properly if the auto_increment column only has 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 accidently get a auto_increment column that contains 0.
To make MySQL compatible with some ODBC applications, you can find
the last inserted row with the following query:
SELECT * FROM tbl_name WHERE auto_col IS NULL
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 is specified for a column, MySQL
automatically assigns one.
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 7.3.6 Date and time types.
ENUM, the default value is the empty string.
For ENUM, the default is the first enumeration value.
KEY is a synonym for INDEX.
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 with the extra constraint
that all key columns must be defined as NOT NULL. 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 the PRIMARY KEY(index_col_name, ...) syntax.
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 3.23.11).
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 7.23 SHOW syntax (Get information about tables, columns,...).
MyISAM table type supports 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, you can specify an index which
uses only a part of a CHAR or VARCHAR column. This can
make the index file much smaller.
See section 7.3.9 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:
CREATE TABLE test (blob_col BLOB, index(blob_col(10)));
ORDER BY or GROUP BY with a TEXT or
BLOB column, only the first max_sort_length bytes are used.
See section 7.3.7.2 The BLOB and TEXT types.
FOREIGN KEY, CHECK and REFERENCES clauses don't
actually do anything. The syntax for them 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 5.4 Functionality missing from MySQL.
NULL column takes one bit extra, rounded up to the nearest byte.
row length = 1
+ (sum of column lengths)
+ (number of NULL columns + 7)/8
+ (number of variable-length columns)
table_options and SELECT options is only
implemented in MySQL 3.23 and above.
The different table types are:
| ISAM | The original table handler. See section 8.2 ISAM tables. |
| MyISAM | The new binary portable table handler. See section 8.1 MyISAM tables. |
| HEAP | The data for this table is only stored in memory. See section 8.3 HEAP tables. |
| BDB or Berkeley_db | Transaction safe tables See section 8.4 BDB or Berkeley_db tables. |
AUTO_INCREMENT | The next auto_increment value you want to set for your table (MyISAM) |
AVG_ROW_LENGTH | An approximation of the average row length for your table. You only need to set this for tables with variable size records. |
CHECKSUM | 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) (MyISAM) |
COMMENT | A 60 character comment for your table |
MAX_ROWS | Max number of rows you plan to store in the table |
MIN_ROWS | Minimum number of rows you plan to store in the table |
PACK_KEYS | Set this to 1 if you want to have smaller index. This usually makes updates slower and reads faster (MyISAM, ISAM). |
PASSWORD | Encrypt the .frm file with a password. This option doesn't do anything in the standard MySQL version.
|
DELAY_KEY_WRITE | Set this to 1 if want to delay key table updates until the table is closed (MyISAM). |
ROW_FORMAT | Defines how the rows should be stored (for the future). |
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).
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 of 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 rows
in a row, 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 lose 1 byte 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=HEAP SELECT b,c from test2;
This will create a HEAP table with 3 columns. Note that the table will
automatically be deleted if any errors occur while copying data
into the table.
RAID_TYPE option will help you to break the 2G/4G limit on OSes
that don't support big files. You can get also 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 sub-directories named 00,
01, 02 in the database directory. In each of these directories
MyISAM will create an table_name.MYD. When writing data
to the data file, 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.
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 8 MySQL table types.
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 or not 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 8.1.2.3 Compressed table characteristics.
ALTER TABLE syntax
ALTER [IGNORE] TABLE tbl_name alter_spec [, alter_spec ...]
alter_specification:
ADD [COLUMN] create_definition [FIRST | AFTER column_name ]
or ADD [COLUMN] (create_definition, create_definition,...)
or ADD INDEX [index_name] (index_col_name,...)
or ADD PRIMARY KEY (index_col_name,...)
or ADD UNIQUE [index_name] (index_col_name,...)
or ALTER [COLUMN] col_name {SET DEFAULT literal | DROP DEFAULT}
or CHANGE [COLUMN] old_col_name create_definition
or MODIFY [COLUMN] create_definition
or DROP [COLUMN] col_name
or DROP PRIMARY KEY
or DROP INDEX index_name
or RENAME [AS] new_tbl_name
or 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 7.7 CREATE TABLE syntax.
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 section 7.7.1 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.
ALTER TABLE, you need select, insert,
delete, update, create and drop
privileges on the table.
IGNORE is a MySQL extension to ANSI SQL92.
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 ANSI SQL92, which allows only one of each clause
per ALTER TABLE statement.
CHANGE col_name, DROP col_name and DROP
INDEX are MySQL extensions to ANSI SQL92.
MODIFY is an Oracle extension to ALTER TABLE.
COLUMN is a pure noise word and can be omitted.
ALTER TABLE tbl_name RENAME AS 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.
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 7.7 CREATE TABLE syntax.
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 two column names even if they are the same. For
example:
mysql> ALTER TABLE t1 CHANGE b b BIGINT NOT NULL;However, as of MySQL 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.
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.
Default value assignment is described in
section 7.7 CREATE TABLE syntax.
DROP INDEX removes an index. This is a MySQL extension to
ANSI SQL92.
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.)
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. The syntax for them 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 5.4 Functionality missing from MySQL.
Here is an example that shows some of the uses of ALTER TABLE. We
begin with a table t1 that is created as shown below:
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.
See also See section 20.20 Problems with ALTER TABLE..
DROP TABLE syntaxDROP TABLE [IF EXISTS] tbl_name [, tbl_name,...]
DROP TABLE removes one or more tables. All table data and the table
definition are removed, so be careful with this command!
In MySQL 3.22 or later, you can use the keywords IF EXISTS to
prevent an error from occurring for tables that don't exist.
OPTIMIZE TABLE syntaxOPTIMIZE TABLE tbl_name
OPTIMIZE TABLE should be used if you have deleted a large part of a
table or if you have made many changes to a table with variable-length rows
(tables that have VARCHAR, BLOB or TEXT columns).
Deleted records are maintained in a linked list and subsequent INSERT
operations reuse old record positions. You can use OPTIMIZE TABLE to
reclaim the unused space.
OPTIMIZE TABLE works by making a temporary copy of the original
table; The old table is copied to the new table (without the unused
rows), then the original table is deleted and the new one is
renamed. While OPTIMIZE 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. This is done in such a way that all updates
are automatically redirected to the new table without any failed updates.
CHECK TABLE syntaxCHECK TABLE tbl_name[,tbl_name...] [TYPE = QUICK]
Check the table(s) for errors. The command returns a table with the following columns:
| Table | Table name |
| Op | Always 'check' |
| Msg_type | One of status, error, info or warning.
|
| Msg_text | The message. |
Note that you can get many rows of information for each checked table. The
last one row will be of Msg_type status and should normally be
OK. If you don't get OK, you should normally run a repair of
the table. See section 15.1 Using myisamchk for table maintenance and crash recovery.
If TYPE=QUICK is given then MySQL will not scan the rows
for table with fixed size records.
CHECK TABLE only works on MyISAM tables and is the same things
as running myisamchk -m table_name on the table.
REPAIR TABLE syntaxREPAIR TABLE tbl_name[,tbl_name...] [TYPE = QUICK]
REPAIR TABLE only works on MyISAM tables and is the same things
as running myisamchk -r table_name on the table.
Repair the corrupted table. The command returns a table with the following columns:
| Table | Table name |
| Op | Always 'repair' |
| Msg_type | One of status, error, info or warning.
|
| Msg_text | The message. |
Note that you can get many rows of information for each repaired
table. The last one row will be of Msg_type status and should
normally be OK. If you don't get OK, you should try
repairing the table with myisamchk -o, as REPAIR TABLE
does not yet implement all the options of myisamchk. In the near
future, we will make it more flexible.
If TYPE=QUICK is given then MySQL will try to do a
REPAIR of only the index tree.
DELETE syntax
DELETE [LOW_PRIORITY] FROM tbl_name
[WHERE where_definition] [LIMIT rows]
DELETE deletes rows from tbl_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, MySQL does
this by recreating the table as an empty table, which is much faster
than deleting each row. In this case, DELETE returns zero as the
number of affected records. (MySQL can't return the number of
rows that were actually deleted, because the recreate is done without
opening the data files. As long as the table definition file
`tbl_name.frm' is valid, the table can be recreated this way, even
if the data or index files have become corrupted.).
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 tbl_name WHERE 1>0;
Note that this is MUCH slower than DELETE FROM tbl_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.
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 reorganize tables. OPTIMIZE TABLE is easier, but
myisamchk is faster.
See section 7.10 OPTIMIZE TABLE syntax, and
section 15.4.3 Table optimization.
The MySQL-specific LIMIT rows 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.
SELECT syntax
SELECT [STRAIGHT_JOIN] [SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT]
[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}]
[HAVING where_definition]
[ORDER BY {unsigned_integer | col_name | formula} [ASC | DESC] ,...]
[LIMIT [offset,] rows]
[PROCEDURE procedure_name] ]
SELECT is used to retrieve rows selected from one or more tables.
select_expression indicates the columns 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 keywords 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. 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;
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 section 7.15 JOIN syntax.
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 section 7.1.5 Database, table, index, column and alias names,
for examples of ambiguity that require the more explicit column reference
forms.
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.
HAVING clause can refer to any column or alias named in the
select_expression. It is applied last, just before items are sent to
the client, with no optimization. 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 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;
SQL_SMALL_RESULT, SQL_BIG_RESULT, SQL_BUFFER_RESULT,
STRAIGHT_JOIN and HIGH_PRIORITY are MySQL extensions
to ANSI SQL92.
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 optimizer that the result set will have many rows. In this case,
MySQL will directly use disk based temporary tables if needed.
MySQL in this case will prefer to do a sort instead doing a
temporary table with a key on the GROUP BY elements.
SQL_BUFFER_RESULT will put force the result to be put into a temporary
table. This will help MySQL free the table locks early and will help
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 optimizer that the
result set will be small. In this case, MySQL will use fast
temporary tables to store the resulting table instead of using sorting. In
MySQL 3.23 this shouldn't normally be needed.
STRAIGHT_JOIN forces the optimizer 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 optimizer joins the tables in non-optimal order.
See section 7.24 EXPLAIN syntax (Get information about a SELECT).
LIMIT clause can be used to constrain the number of rows returned
by the SELECT statement. LIMIT takes one or two numeric
arguments.
If two arguments are given, 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).
mysql> select * from table LIMIT 5,10; # Retrieve rows 6-15If one argument is given, it indicates the maximum number of rows to return.
mysql> select * from table LIMIT 5; # Retrieve first 5 rowsIn 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.
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 7.18 LOAD DATA INFILE syntax.
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
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.
If you use 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 in a file.
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 }
Where table_reference is defined as
table_name [[AS] alias] [USE INDEX (key_list)] [IGNORE INDEX (key_list)]
and join_condition is defined as
ON conditional_expr | USING (column_list)
Note that in version before 3.23.16 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;
INNER JOIN and , (comma) are semantically equivalent.
Both do a full join between the tables used. Normally, you specify how
the tables should be linked in the WHERE condition.
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 (i.e., all rows in table1 with no
corresponding row in table2). This assumes that table2.id is
declared NOT NULL, of course.
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 a INNER JOIN or a LEFT JOIN
with a USING clause that names all columns that exist in both
tables.
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 optimizer puts the tables in the wrong order.
EXPLAIN shows that MySQL is
using the wrong index. By specifying USE INDEX (key_list), you
can tell MySQL to use only one of the specified 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.
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 12.5.4 How MySQL optimizes LEFT JOIN.
INSERT syntax
INSERT [LOW_PRIORITY | DELAYED] [IGNORE]
[INTO] tbl_name [(col_name,...)]
VALUES (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, 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 3.22.5 or later. The
col_name=expression syntax is supported in MySQL 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 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 syntax.
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.
In this case the client has to wait until the insert statement is completed,
which may take a long time if the table is in heavy use. This is in
contrast to INSERT DELAYED which lets the client continue at once.
IGNORE in an INSERT with many value
rows, any rows which 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 check with the C API function
mysql_info() how many rows were inserted into the table.
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 4.7.3 Typical configure options.
INSERT INTO ... SELECT statement:
ORDER BY clause.
INSERT statement cannot appear in the
FROM clause of the SELECT part of the query, because it's
forbidden in ANSI SQL to SELECT from the same table into which you are
INSERTing. (The problem is that the SELECT possibly would
find records that were inserted earlier during the same run. When using
sub-select clauses, the situation could easily be very confusing!)
AUTO_INCREMENT columns work as usual.
If you use INSERT ... SELECT or a 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 below:
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 its default value.
'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.
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 statements that take a long time to complete.
DELAYED was introduced in MySQL 3.22.15. It is a
MySQL extension to ANSI SQL92.
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 or not 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 waits until there is room in the queue. This is
useful 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.
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:
Delayed_insert_threads | Number of handler threads |
Delayed_writes | Number of rows written with INSERT DELAYED
|
Not_flushed_delayed_rows | Number of rows waiting to be written |
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!
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,
the old record is deleted before the new record is inserted.
See section 7.16 INSERT syntax.
LOAD DATA INFILE syntax
LOAD DATA [LOW_PRIORITY] [LOCAL] INFILE 'file_name.txt' [REPLACE | IGNORE]
INTO TABLE tbl_name
[FIELDS
[TERMINATED BY 't']
[OPTIONALLY] ENCLOSED BY '']
[ESCAPED BY '\' ]]
[LINES 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, the
file is read from the client host. If LOCAL is not specified, the
file must be located on the server. (LOCAL is available in
MySQL 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 6.7 Privileges provided by MySQL.
If you specify the keyword LOW_PRIORITY, execution of the
LOAD DATA statement is delayed until no other clients are reading
from the table.
Using LOCAL will be a bit slower than letting the server access the
files directly, because the contents of the file must travel from the client
host to the server host. On the other hand, you do not need the
file privilege to load local files.
You can also load data files by using the mysqlimport utility; it
operates by sending a LOAD DATA INFILE command to the server. The
--local option causes mysqlimport to read data files 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 given as `./myfile.txt' is read from
the server's data directory, whereas a file given 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, new rows replace existing rows that have the same unique key
value. 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, an
error occurs when a duplicate key value is found, and the rest of the text
file is ignored.
If you load data from a local file using the LOCAL keyword, the server
has no way to stop transmission of the file in the middle of the operation,
so the default bahavior is the same as if IGNORE is specified.
LOAD DATA INFILE is the complement of SELECT ... INTO OUTFILE.
See section 7.14 SELECT syntax.
To write data from a database to a file, use SELECT ... INTO OUTFILE.
To read the file back into the database, 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'
In other words, the defaults cause LOAD DATA INFILE to act as follows
when reading input:
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 a header of
column names at the start of the file:
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 below, 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 below
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 'rn'
clause.
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 below:
"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 below 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 or not 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 below:
"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' (e.g., 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 section 7.1 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. 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. 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
section 7.7 CREATE TABLE syntax.
An empty field value is interpreted differently than if the field value is missing:
0.
TIMESTAMP columns are only set to the current date and time if there
is a NULL value for the column, or (for the first TIMESTAMP
column only) if the TIMESTAMP column is left out 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.
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 below:
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 7.16 INSERT syntax), 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 INFILE 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
For more information about the efficiency of INSERT versus
LOAD DATA INFILE and speeding up LOAD DATA INFILE,
See section 12.5.6 Speed of INSERT queries.
UPDATE syntax
UPDATE [LOW_PRIORITY] [IGNORE] tbl_name SET col_name1=expr1,col_name2=expr2,...
[WHERE where_definition] [LIMIT #]
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 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 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.
In MySQL 3.23 you can use LIMIT # to ensure that only a given
number of rows are changed.
USE syntaxUSE 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 example
below 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.
FLUSH syntax (clearing caches)FLUSH flush_option [,flush_option]
You should use the FLUSH command if you want to clear some of the
internal caches MySQL uses. To execute FLUSH, you must have
the reload privilege.
flush_option can be any of the following:
HOSTS | Empties the host cache tables. You should flush the
host tables if some of your hosts change IP number or if you get the
error message Host ... is blocked. When more than
max_connect_errors errors occur in a row for a given host while
connection to the MySQL server, MySQL assumes
something is wrong and blocks the host from further connection requests.
Flushing the host tables allows the host to attempt to connect
again. See section 20.3.3 Host '...' is blocked error.) You can start mysqld with
-O max_connection_errors=999999999 to avoid this error message.
|
LOGS | Closes and reopens the standard and update log files. If you have specified the update log file without an extension, the extension number of the new update log file will be incremented by one relative to the previous file. If you have used an extension in the file name, MySQL will close and reopen the update log file. See section 21.3 The update log. |
PRIVILEGES | Reloads the privileges from the grant tables in
the mysql database.
|
TABLES | Closes all open tables. |
TABLES WITH READ LOCK | Closes all open tables and locks all tables for read until one executes UNLOCK TABLES.
|
STATUS | Resets most status variables to zero. |
You can also access each of the commands shown above with the mysqladmin
utility, using the flush-hosts, flush-logs, reload
or flush-tables commands.
KILL syntaxKILL thread_id
Each connection to mysqld runs in a separate thread. You can see
which threads are running with the SHOW PROCESSLIST command, and kill
a thread with the KILL thread_id command.
If you have the process privilege, you can see and kill all threads. Otherwise, you can see and kill only your own threads.
You can also use the mysqladmin processlist and mysqladmin kill
commands to examine and kill threads.
SHOW syntax (Get information about tables, columns,...)SHOW DATABASES [LIKE wild] or SHOW TABLES [FROM db_name] [LIKE wild] or SHOW COLUMNS FROM tbl_name [FROM db_name] [LIKE wild] or SHOW INDEX FROM tbl_name [FROM db_name] or SHOW STATUS [LIKE wild] or SHOW VARIABLES [LIKE wild] or SHOW [FULL] PROCESSLIST or SHOW TABLE STATUS [FROM db_name] [LIKE wild] or SHOW GRANTS FOR user
SHOW provides information about databases, tables, columns or the
server. If the LIKE wild part is used, the wild string can be a
string that uses the SQL `%' and `_' wildcard characters.
You can use db_name.tbl_name as an alternative to the tbl_name
FROM db_name syntax. These two statements are equivalent:
mysql> SHOW INDEX FROM mytable FROM mydb; mysql> SHOW INDEX FROM mydb.mytable;
SHOW DATABASES lists the databases on the MySQL server
host. You can also get this list using the mysqlshow command.
SHOW TABLES lists the tables in a given database. You can also
get this list using the mysqlshow db_name command.
Note: If a user doesn't have any privileges for a table, the table
will not show up in the output from SHOW TABLES or mysqlshow
db_name.
SHOW COLUMNS lists the columns in a given table.
If the column types are different than you expect them to be based on a
CREATE TABLE statement, note that MySQL sometimes changes column
types.
See section 7.7.1 Silent column specification changes.
The DESCRIBE statement provides information similar to
SHOW COLUMNS.
See section 7.25 DESCRIBE syntax (Get information about columns).
SHOW TABLE STATUS (new in version 3.23) works likes SHOW
STATUS, but provides a lot of information about each table. You can
also get this list using the mysqlshow --status db_name command.
The following columns are returned:
| Column | Meaning |
Name | Name of the table |
Type | Type of table (BDB, ISAM, MyISAM or HEAP) |
Row_format | The row storage format (Fixed, Dynamic, or Compressed) |
Rows | Number of rows |
Avg_row_length | Average row length |
Data_length | Length of the data file |
Max_data_length | Max length of the data file |
Index_length | Length of the index file |
Data_free | Number of allocated but not used bytes |
Auto_increment | Next autoincrement value |
Create_time | When the table was created |
Update_time | When the data file was last updated |
Check_time | When one last run a check on the table |
Create_options | Extra options used with CREATE TABLE
|
Comment | The comment used when creating the table (or some information why MySQL couldn't access the table information). |
SHOW FIELDS is a synonym for SHOW COLUMNS and
SHOW KEYS is a synonym for SHOW INDEX. You can also
list a table's columns or indexes with mysqlshow db_name tbl_name
or mysqlshow -k db_name tbl_name.
SHOW INDEX returns the index information in a format that closely
resembles the SQLStatistics call in ODBC. The following columns
are returned:
| Column | Meaning |
Table | Name of the table |
Non_unique | 0 if the index can't contain duplicates. |
Key_name | Name of the index |
Seq_in_index | Column sequence number in index, starting with 1. |
Column_name | Column name. |
Collation | How the column is sorted in the index. In
MySQL, this can have values A (Ascending) or NULL
(Not sorted).
|
Cardinality | Number of unique values in the index.
This is updated by running isamchk -a.
|
Sub_part | Number of indexed characters if the column is
only partly indexed. NULL if the entire key is indexed.
|
SHOW STATUS provides server status information
(like mysqladmin extended-status). The output resembles that shown
below, though the format and numbers may differ somewhat:
+--------------------------+--------+ | Variable_name | Value | +--------------------------+--------+ | Aborted_clients | 0 | | Aborted_connects | 0 | | Connections | 17 | | Created_tmp_tables | 0 | | Delayed_insert_threads | 0 | | Delayed_writes | 0 | | Delayed_errors | 0 | | Flush_commands | 2 | | Handler_delete | 2 | | Handler_read_first | 0 | | Handler_read_key | 1 | | Handler_read_next | 0 | | Handler_read_rnd | 35 | | Handler_update | 0 | | Handler_write | 2 | | Key_blocks_used | 0 | | Key_read_requests | 0 | | Key_reads | 0 | | Key_write_requests | 0 | | Key_writes | 0 | | Max_used_connections | 1 | | Not_flushed_key_blocks | 0 | | Not_flushed_delayed_rows | 0 | | Open_tables | 1 | | Open_files | 2 | | Open_streams | 0 | | Opened_tables | 11 | | Questions | 14 | | Slow_launch_threads | 0 | | Slow_queries | 0 | | Threads_connected | 1 | | Threads_running | 1 | | Uptime | 149111 | +--------------------------+--------+
The status variables listed above have the following meaning:
Aborted_clients | Number of connections that has been aborted because the client has died without closing the connection properly. |
Aborted_connects | Number of tries to connect to the MySQL server that has failed. |
Bytes_received | Number of bytes received from the client |
Bytes_sent | Number of bytes received from the client |
Connections | Number of connection attempts to the MySQL server. |
Created_tmp_tables | Number of implicit temporary tables that has been created while executing statements. |
Delayed_insert_threads | Number of delayed insert handler threads in use. |
Delayed_writes | Number of rows written with INSERT DELAYED.
|
Delayed_errors | Number of rows written with INSERT DELAYED for which some error occurred (probably duplicate key).
|
Flush_commands | Number of executed FLUSH commands.
|
Handler_delete | Number of times a row was deleted from a table. |
Handler_read_first | Number of times the first entry was read from an index.
If this is high, it suggests that the server is doing a lot of full index scans, for example,
SELECT col1 FROM foo, assuming that col1 is indexed
|
Handler_read_key | Number of requests to read a row based on a key. If this is high, it is a good indication that your queries and tables are properly indexed. |
Handler_read_next | Number of requests to read next row in key order. This will be incremented if you are querying an index column with a range contraint. This also will be incremented if you are doing an index scan. |
Handler_read_rnd | Number of requests to read a row based on a fixed position. This will be high if you are doing a lot of queries that require sorting of the result. |
Handler_read_rnd_next | Number of requests to read the next row in the datafile. This will be high if you are doing a lot of table scans - generally this suggests that you tables are not properly indexed or that you queries are not written to take advantaged of the indeces you have.. |
Handler_update | Number of requests to update a row in a table. |
Handler_write | Number of requests to insert a row in a table. |
Key_blocks_used | The number of used blocks in the key cache. |
Key_read_requests | The number of requests to read a key block from the cache. |
Key_reads | The number of physical reads of a key block from disk. |
Key_write_requests | The number of requests to write a key block to the cache. |
Key_writes | The number of physical writes of a key block to disk. |
Max_used_connections | The maximum number of connections that has been in use simultaneously. |
Not_flushed_key_blocks | Keys blocks in the key cache that has changed but hasn't yet been flushed to disk. |
Not_flushed_delayed_rows | Number of rows waiting to be written in INSERT DELAY queues.
|
Open_tables | Number of tables that are open. |
Open_files | Number of files that are open. |
Open_streams | Number of streams that are open (used mainly for logging) |
Opened_tables | Number of tables that has been opened. |
Questions | Number of queries sent to the server. |
Slow_launch_threads | Number of threads that has taken more than slow_launch_time to connect.
|
Slow_queries | Number of queries that has taken more than long_query_time
|
Threads_cached | Number of threads in the thread cache. |
Threads_connected | Number of currently open connections. |
Threads_running | Number of threads that are not sleeping. |
Uptime | How many seconds the server has been up. |
Some comments about the above:
Opened_tables is big, then your table_cache
variable is probably too small.
key_reads is big, then your key_cache is probably too
small. The cache hit rate can be calculated with
key_reads/key_read_requests.
Handler_read_rnd is big, then you have a probably a lot of queries
that requires MySQL to scan whole tables or you have joins that doesn't use
keys properly.
SHOW VARIABLES shows the values of the some of MySQL system
variables. You can also get this information using the mysqladmin
variables command. If the default values are unsuitable, you can set most
of these variables using command-line options when mysqld starts up.
The output resembles that shown below, though the format and numbers may
differ somewhat:
+------------------------+--------------------------+ | Variable_name | Value | +------------------------+--------------------------+ | back_log | 5 | | connect_timeout | 5 | | basedir | /my/monty/ | | datadir | /my/monty/data/ | | delayed_insert_limit | 100 | | delayed_insert_timeout | 300 | | delayed_queue_size | 1000 | | join_buffer_size | 131072 | | flush_time | 0 | | interactive_timeout | 28800 | | key_buffer_size | 1048540 | | language | /my/monty/share/english/ | | log | OFF | | log_update | OFF | | long_query_time | 10 | | low_priority_updates | OFF | | max_allowed_packet | 1048576 | | max_connections | 100 | | max_connect_errors | 10 | | max_delayed_threads | 20 | | max_heap_table_size | 16777216 | | max_join_size | 4294967295 | | max_sort_length | 1024 | | max_tmp_tables | 32 | | net_buffer_length | 16384 | | port | 3306 | | protocol-version | 10 | | record_buffer | 131072 | | skip_locking | ON | | slow_launch_time | 2 | | socket | /tmp/mysql.sock | | sort_buffer | 2097116 | | table_cache | 64 | | thread_stack | 131072 | | tmp_table_size | 1048576 | | tmpdir | /machine/tmp/ | | version | 3.23.0-alpha-debug | | wait_timeout | 28800 | +------------------------+--------------------------+
See section 12.2.3 Tuning server parameters.
SHOW PROCESSLIST shows you which threads are running. You can
also get this information using the mysqladmin processlist
command. If you have the process privilege, you can see all
threads. Otherwise, you can see only your own threads. See section 7.22 KILL syntax. If you don't use the the FULL option, then only
the first 100 characters of each query will be shown.
SHOW GRANTS FOR user lists the grant commands that must be issued to
duplicate the grants for a user.
mysql> SHOW GRANTS FOR root@localhost; +---------------------------------------------------------------------+ | Grants for root@localhost | +---------------------------------------------------------------------+ | GRANT ALL PRIVILEGES ON *.* TO 'root'@'localhost' WITH GRANT OPTION | +---------------------------------------------------------------------+
EXPLAIN syntax (Get information about a SELECT)
EXPLAIN tbl_name
or EXPLAIN SELECT select_options
EXPLAIN tbl_name is a synonym for DESCRIBE tbl_name or
SHOW COLUMNS FROM tbl_name.
When you precede a SELECT statement with the keyword EXPLAIN,
MySQL explains how it would process the SELECT, providing
information about how tables are joined and in which order.
With the help of EXPLAIN, you can see when you must add indexes
to tables to get a faster SELECT that uses indexes to find the
records. You can also see if the optimizer joins the tables in an optimal
order. To force the optimizer to use a specific join order for a
SELECT statement, add a STRAIGHT_JOIN clause.
For non-simple joins, EXPLAIN returns a row of information for each
table used in the SELECT statement. The tables are listed in the order
they would be read. MySQL resolves all joins using a single-sweep
multi-join method. This means that MySQL reads a row from the first
table, then finds a matching row in the second table, then in the third table
and so on. When all tables are processed, it outputs the selected columns and
backtracks through the table list until a table is found for which there are
more matching rows. The next row is read from this table and the process
continues with the next table.
Output from EXPLAIN includes the following columns:
table
type
possible_keys
possible_keys column indicates which indexes MySQL
could use to find the rows in this table. Note that this column is
totally independent of the order of the tables. That means that some of
the keys in possible_keys may not be useable in practice with the
generated table order.
If this column is empty, there are no relevant indexes. In this case,
you may be able to improve the performance of your query by examining
the WHERE clause to see if it refers to some column or columns
that would be suitable for indexing. If so, create an appropriate index
and check the query with EXPLAIN again. See section 7.8 ALTER TABLE syntax.
To see what indexes a table has, use SHOW INDEX FROM tbl_name.
key
key column indicates the key that MySQL actually
decided to use. The key is NULL if no index was chosen. If
MySQL chooses the wrong index, you can probably force
MySQL to use another index by using myisamchk --analyze,
See section 15.1.1 myisamchk invocation syntax, or by using USE INDEX/IGNORE INDEX.
See section 7.15 JOIN syntax.
key_len
key_len column indicates the length of the key that
MySQL decided to use. The length is NULL if the
key is NULL. Note that this tell us how many parts of a
multi-part key MySQL will actually use.
ref
ref column shows which columns or constants are used with the
key to select rows from the table.
rows
rows column indicates the number of rows MySQL
believes it must examine to execute the query.
Extra
Not exists
LEFT JOIN optimisation on the
query and will not examine more rows in this table for a row combination
after it founds one rows that matches the LEFT JOIN criteria.
range checked for each record (index map: #)Using filesort
join type and storing the sort key + pointer to
the row for all rows that match the WHERE. Then the keys are
sorted. Finally the rows are retrieved in sorted order.
Using index
Using temporary
ORDER BY on a different column set than you did an GROUP
BY on.
where used
WHERE clause will be used to restrict which rows will be
matched against the next table or sent to the client. If you don't have
this information and the the table is of type ALL or index
you may have something wrong in your query (if you don't intend to
fetch/examine all rows from the table).
Using filesort and Using temporary.
The different join types are listed below, ordered from best to worst type:
system
const join type.
const
const tables are very fast as they are read only once!
eq_ref
const types. It is used when all parts of an index are used by
the join and the index is UNIQUE or a PRIMARY KEY.
ref
ref is used if the join
uses only a leftmost prefix of the key, or if the key is not UNIQUE
or a PRIMARY KEY (in other words, if the join cannot select a single
row based on the key value). If the key that is used matches only a few rows,
this join type is good.
range
ref column indicates which index is used.
index
ALL, except that only the index tree is
scanned. This is usually faster than ALL, as the index file is usually
smaller than the data file.
ALL
const, and usually very bad in all other
cases. You normally can avoid ALL by adding more indexes, so that
the row can be retrieved based on constant values or column values from
earlier tables.
You can get a good indication of how good a join is by multiplying all values
in the rows column of the EXPLAIN output. This should tell you
roughly how many rows MySQL must examine to execute the query. This
number is also used when you restrict queries with the max_join_size
variable.
See section 12.2.3 Tuning server parameters.
The following example shows how a JOIN can be optimized progressively
using the information provided by EXPLAIN.
Suppose you have the SELECT statement shown below, that you examine
using EXPLAIN:
EXPLAIN SELECT tt.TicketNumber, tt.TimeIn,
tt.ProjectReference, tt.EstimatedShipDate,
tt.ActualShipDate, tt.ClientID,
tt.ServiceCodes, tt.RepetitiveID,
tt.CurrentProcess, tt.CurrentDPPerson,
tt.RecordVolume, tt.DPPrinted, et.COUNTRY,
et_1.COUNTRY, do.CUSTNAME
FROM tt, et, et AS et_1, do
WHERE tt.SubmitTime IS NULL
AND tt.ActualPC = et.EMPLOYID
AND tt.AssignedPC = et_1.EMPLOYID
AND tt.ClientID = do.CUSTNMBR;
For this example, assume that:
| Table | Column | Column type |
tt | ActualPC | CHAR(10)
|
tt | AssignedPC | CHAR(10)
|
tt | ClientID | CHAR(10)
|
et | EMPLOYID | CHAR(15)
|
do | CUSTNMBR | CHAR(15)
|
| Table | Index |
tt | ActualPC
|
tt | AssignedPC
|
tt | ClientID
|
et | EMPLOYID (primary key)
|
do | CUSTNMBR (primary key)
|
tt.ActualPC values aren't evenly distributed.
Initially, before any optimizations have been performed, the EXPLAIN
statement produces the following information:
table type possible_keys key key_len ref rows Extra
et ALL PRIMARY NULL NULL NULL 74
do ALL PRIMARY NULL NULL NULL 2135
et_1 ALL PRIMARY NULL NULL NULL 74
tt ALL AssignedPC,ClientID,ActualPC NULL NULL NULL 3872
range checked for each record (key map: 35)
Because type is ALL for each table, this output indicates that
MySQL is doing a full join for all tables! This will take quite a
long time, as the product of the number of rows in each table must be
examined! For the case at hand, this is 74 * 2135 * 74 * 3872 =
45,268,558,720 rows. If the tables were bigger, you can only imagine how
long it would take...
One problem here is that MySQL can't (yet) use indexes on columns
efficiently if they are declared differently. In this context,
VARCHAR and CHAR are the same unless they are declared as
different lengths. Because tt.ActualPC is declared as CHAR(10)
and et.EMPLOYID is declared as CHAR(15), there is a length
mismatch.
To fix this disparity between column lengths, use ALTER TABLE to
lengthen ActualPC from 10 characters to 15 characters:
mysql> ALTER TABLE tt MODIFY ActualPC VARCHAR(15);
Now tt.ActualPC and et.EMPLOYID are both VARCHAR(15).
Executing the EXPLAIN statement again produces this result:
table type possible_keys key key_len ref rows Extra
tt ALL AssignedPC,ClientID,ActualPC NULL NULL NULL 3872 where used
do ALL PRIMARY NULL NULL NULL 2135
range checked for each record (key map: 1)
et_1 ALL PRIMARY NULL NULL NULL 74
range checked for each record (key map: 1)
et eq_ref PRIMARY PRIMARY 15 tt.ActualPC 1
This is not perfect, but is much better (the product of the rows
values is now less by a factor of 74). This version is executed in a couple
of seconds.
A second alteration can be made to eliminate the column length mismatches
for the tt.AssignedPC = et_1.EMPLOYID and tt.ClientID =
do.CUSTNMBR comparisons:
mysql> ALTER TABLE tt MODIFY AssignedPC VARCHAR(15),
MODIFY ClientID VARCHAR(15);
Now EXPLAIN produces the output shown below:
table type possible_keys key key_len ref rows Extra et ALL PRIMARY NULL NULL NULL 74 tt ref AssignedPC,ClientID,ActualPC ActualPC 15 et.EMPLOYID 52 where used et_1 eq_ref PRIMARY PRIMARY 15 tt.AssignedPC 1 do eq_ref PRIMARY PRIMARY 15 tt.ClientID 1
This is ``almost'' as good as it can get.
The remaining problem is that, by default, MySQL assumes that values
in the tt.ActualPC column are evenly distributed, and that isn't the
case for the tt table. Fortunately, it is easy to tell MySQL
about this:
shell> myisamchk --analyze PATH_TO_MYSQL_DATABASE/tt shell> mysqladmin refresh
Now the join is ``perfect'', and EXPLAIN produces this result:
table type possible_keys key key_len ref rows Extra tt ALL AssignedPC,ClientID,ActualPC NULL NULL NULL 3872 where used et eq_ref PRIMARY PRIMARY 15 tt.ActualPC 1 et_1 eq_ref PRIMARY PRIMARY 15 tt.AssignedPC 1 do eq_ref PRIMARY PRIMARY 15 tt.ClientID 1
Note that the rows column in the output from EXPLAIN is an
``educated guess'' from the MySQL join optimizer; To optimize a
query, you should check if the numbers are even close to the truth. If not,
you may get better performance by using STRAIGHT_JOIN in your
SELECT statement and trying to list the tables in a different order in
the FROM clause.
DESCRIBE syntax (Get information about columns)
{DESCRIBE | DESC} tbl_name {col_name | wild}
DESCRIBE provides information about a table's columns. col_name
may be a column name or a string containing the SQL `%' and `_'
wildcard characters.
If the column types are different than you expect them to be based on a
CREATE TABLE statement, note that MySQL sometimes changes column
types.
See section 7.7.1 Silent column specification changes.
This statement is provided for Oracle compatibility.
The SHOW statement provides similar information.
See section 7.23 SHOW syntax (Get information about tables, columns,...).
BEGIN/COMMIT/ROLLBACK syntax
By default, MySQL runs in autocommit mode. This means that
as soon as you execute an update, MySQL will store the update on
disk.
If you are using BDB tables, you can put MySQL into
non-autocommit mode with the following command:
SET AUTOCOMMIT=0
After this 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 switch from AUTOCOMMIT mode for one serie of
statements, you can use the BEGIN or BEGIN WORK statement.
BEGIN; SELECT @A:=SUM(salary) FROM table1 WHERE type=1; UPDATE table2 SET summmary=@A WHERE type=1; COMMIT;
Note that if you are using non-transaction-safe tables, the changes will be
stored at once, independent of the status of the autocommit mode.
LOCK TABLES/UNLOCK TABLES syntax
LOCK TABLES tbl_name [AS alias] {READ | [READ LOCAL] | [LOW_PRIORITY] WRITE}
[, tbl_name {READ | [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 automatically unlocked when the thread issues another
LOCK TABLES, or when the connection to the server is closed.
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.
Each thread waits (without timing out) until it obtains all the locks it has requested.
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.
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! This policy ensures that
table locking is deadlock free.
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 and no other
thread can read a WRITE-locked table.
LOCK TABLES if you want to ensure that no other thread comes between a
SELECT and an UPDATE. The example shown below
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 7.4.12 Miscellaneous functions.
See section 12.2.8 How MySQL locks tables, for more information on locking policy.
SET syntaxSET [OPTION] SQL_VALUE_OPTION= value, ...
SET OPTION sets various options that affect the operation of the
server or your client. Any option you set remains in effect until the
current session ends, or until you set the option to a different value.
CHARACTER SET character_set_name | DEFAULT
character_set_name is
cp1251_koi8, but you can easily add new mappings by editing the
`sql/convert.cc' file in the MySQL source distribution. The
default mapping can be restored by using a character_set_name value of
DEFAULT.
Note that the syntax for setting the CHARACTER SET option differs
from the syntax for setting the other options.
PASSWORD = PASSWORD('some password')
PASSWORD FOR user = PASSWORD('some password')
mysql database can do this. The user should be
given in user@hostname format, where user and hostname
are exactly as they are listed in the User and Host columns of
the mysql.user table entry. For example, if you had an entry with
User and Host fields of 'bob' and '%.loc.gov',
you would write:
mysql> SET PASSWORD FOR bob@"%.loc.gov" = PASSWORD("newpass");
or
mysql> UPDATE mysql.user SET password=PASSWORD("newpass") where user="bob' and host="%.loc.gov";
SQL_AUTO_IS_NULL = 0 | 1
1 (default) then one can find the last inserted row
for a table with an auto_increment row with the following construct:
WHERE auto_increment_column IS NULL. This is used by some
ODBC programs like Access.
SET AUTOCOMMIT= 0 | 1
1 all changes to a table will be done at once. To start
an multi command transaction you have to use the BEGIN
statement. See section 7.26 BEGIN/COMMIT/ROLLBACK syntax. If set to 0 you have to use COMMIT /
ROLLBACK to accept/revoke that transaction. See section 7.26 BEGIN/COMMIT/ROLLBACK syntax. Note
that when you change from not AUTOCOMMIT mode to
AUTOCOMMIT mode, MySQL will do an automatic
COMMIT on any open transactions.
SQL_BIG_TABLES = 0 | 1
1, all temporary tables are stored on disk rather than in
memory. This will be a little slower, but you will not get the error
The table tbl_name is full for big SELECT operations that
require a large temporary table. The default value for a new connection is
0 (i.e., use in-memory temporary tables).
SQL_BIG_SELECTS = 0 | 1
0, MySQL will abort if a SELECT is attempted
that probably will take a very long time. This is useful when an inadvisable
WHERE statement has been issued. A big query is defined as a
SELECT that probably will have to examine more than
max_join_size rows. The default value for a new connection is
1 (which will allow all SELECT statements).
SQL_BUFFER_RESULT = 0 | 1
SQL_BUFFER_RESULT will force the result from SELECT's
to be put into a temporary table. This will help MySQL free the
table locks early and will help in cases where it takes a long time to
send the result set to the client.
SQL_LOW_PRIORITY_UPDATES = 0 | 1
1, all INSERT, UPDATE, DELETE and
and LOCK TABLE WRITE statements wait until there is no pending
SELECT or LOCK TABLE READ on the affected table.
SQL_MAX_JOIN_SIZE = value | DEFAULT
SELECT's that will probably need to examine more than
value row combinations. By setting this value, you can catch
SELECT's where keys are not used properly and that would probably
take a long time. Setting this to a value other than DEFAULT will reset
the SQL_BIG_SELECTS flag. If you set the SQL_BIG_SELECTS
flag again, the SQL_MAX_JOIN_SIZE variable will be ignored.
You can set a default value for this variable by starting mysqld with
-O max_join_size=#.
SQL_SAFE_MODE = 0 | 1
1, MySQL will abort if a UPDATE or
DELETE is attempted that doesn't use a key or LIMIT in the
WHERE clause. This makes it possible to catch wrong updates
when creating SQL commands by hand.
SQL_SELECT_LIMIT = value | DEFAULT
SELECT statements. If
a SELECT has a LIMIT clause, the LIMIT takes precedence
over the value of SQL_SELECT_LIMIT. The default value for a new
connection is ``unlimited''. If you have changed the limit, the default value
can be restored by using a SQL_SELECT_LIMIT value of DEFAULT.
SQL_LOG_OFF = 0 | 1
1, no logging will be done to the standard log for this
client, if the client has the process privilege. This does not
affect the update log!
SQL_LOG_UPDATE = 0 | 1
0, no logging will be done to the update log for the client,
if the client has the process privilege. This does not affect the
standard log!
TIMESTAMP = timestamp_value | DEFAULT
LAST_INSERT_ID = #
LAST_INSERT_ID(). This is stored in
the update log when you use LAST_INSERT_ID() in a command that updates
a table.
INSERT_ID = #
INSERT command when inserting
an AUTO_INCREMENT value. This is mainly used with the update log.
GRANT and REVOKE syntax
GRANT priv_type [(column_list)] [, priv_type [(column_list)] ...]
ON {tbl_name | * | *.* | db_name.*}
TO user_name [IDENTIFIED BY 'password']
[, user_name [IDENTIFIED BY 'password'] ...]
[WITH GRANT OPTION]
REVOKE priv_type [(column_list)] [, priv_type [(column_list)] ...]
ON {tbl_name | * | *.* | db_name.*}
FROM user_name [, user_name ...]
GRANT is implemented in MySQL 3.22.11 or later. For
earlier MySQL versions, the GRANT statement does nothing.
The GRANT and REVOKE commands allow system administrators to
grant and revoke rights to MySQL users at four privilege levels:
mysql.user table.
mysql.db and mysql.host tables.
mysql.tables_priv table.
mysql.columns_priv table.
For examples of how GRANT works, see section 6.13 Adding new user privileges to MySQL.
For the GRANT and REVOKE statements, priv_type may be
specified as any of the following:
ALL PRIVILEGES FILE RELOAD ALTER INDEX SELECT CREATE INSERT SHUTDOWN DELETE PROCESS UPDATE DROP REFERENCES USAGE
ALL is a synonym for ALL PRIVILEGES. REFERENCES is not
yet implemented. USAGE is currently a synonym for ``no privileges''.
It can be used when you want to create a user that has no privileges.
To revoke the grant privilege from a user, use a priv_type
value of GRANT OPTION:
REVOKE GRANT OPTION ON ... FROM ...;
The only priv_type values you can specify for a table are SELECT,
INSERT, UPDATE, DELETE, CREATE, DROP,
GRANT, INDEX and ALTER.
The only priv_type values you can specify for a column (that is, when
you use a column_list clause) are SELECT, INSERT and
UPDATE.
You can set global privileges by using ON *.* syntax. You can set
database privileges by using ON db_name.* syntax. If you specify
ON * and you have a current database, you will set the privileges for
that database. (Warning: If you specify ON * and you
don't have a current database, you will affect the global privileges!)
In order to accommodate granting rights to users from arbitrary hosts,
MySQL supports specifying the user_name value in the form
user@host. If you want to specify a user string
containing special characters (such as `-'), or a host string
containing special characters or wildcard characters (such as `%'), you
can quote the user or host name (e.g., 'test-user'@'test-hostname').
You can specify wildcards in the hostname. For example,
user@"%.loc.gov" applies to user for any host in the
loc.gov domain, and user@"144.155.166.%" applies to user
for any host in the 144.155.166 class C subnet.
The simple form user is a synonym for user@"%".
Note: If you allow anonymous users to connect to the MySQL
server (which is the default), you should also add all local users as
user@localhost because otherwise the anonymous user entry for the
local host in the mysql.user table will be used when the user tries to
log into the MySQL server from the local machine! Anonymous users
are defined by inserting entries with User='' into the
mysql.user table. You can verify if this applies to you by executing
this query:
mysql> SELECT Host,User FROM mysql.user WHERE User='';
For the moment, GRANT only supports host, table, database and
column names up to 60 characters long. A user name can be up to 16
characters.
The privileges for a table or column are formed from the
logical OR of the privileges at each of the four privilege
levels. For example, if the mysql.user table specifies that a
user has a global select privilege, this can't be denied by an
entry at the database, table or column level.
The privileges for a column can be calculated as follows:
global privileges OR (database privileges AND host privileges) OR table privileges OR column privileges
In most cases, you grant rights to a user at only one of the privilege levels, so life isn't normally as complicated as above. :) The details of the privilege-checking procedure are presented in section 6 The MySQL access privilege system.
If you grant privileges for a user/hostname combination that does not exist
in the mysql.user table, an entry is added and remains there until
deleted with a DELETE command. In other words, GRANT may
create user table entries, but REVOKE will not remove them;
you must do that explicitly using DELETE.
In MySQL 3.22.12 or later,
if a new user is created or if you have global grant privileges, the user's
password will be set to the password specified by the IDENTIFIED BY
clause, if one is given. If the user already had a password, it is replaced
by the new one.
Warning: If you create a new user but do not specify an
IDENTIFIED BY clause, the user has no password. This is insecure.
Passwords can also be set with the SET PASSWORD command.
See section 7.28 SET syntax.
If you grant privileges for a database, an entry in the mysql.db
table is created if needed. When all privileges for the database have been
removed with REVOKE, this entry is deleted.
If a user doesn't have any privileges on a table, the table is not displayed
when the user requests a list of tables (e.g., with a SHOW TABLES
statement).
The WITH GRANT OPTION clause gives the user the ability to give
to other users any privileges the user has at the specified privilege level.
You should be careful to whom you give the grant privilege, as two
users with different privileges may be able to join privileges!
You cannot grant another user a privilege you don't have yourself; the grant privilege allows you to give away only those privileges you possess.
Be aware that when you grant a user the grant privilege at a
particular privilege level, any privileges the user already possesses (or
is given in the future!) at that level are also grantable by that user.
Suppose you grant a user the insert privilege on a database. If
you then grant the select privilege on the database and specify
WITH GRANT OPTION, the user can give away not only the select
privilege, but also insert. If you then grant the update
privilege to the user on the database, the user can give away the
insert, select and update.
You should not grant alter privileges to a normal user. If you do that, the user can try to subvert the privilege system by renaming tables!
Note that if you are using table or column privileges for even one user, the server examines table and column privileges for all users and this will slow down MySQL a bit.
When mysqld starts, all privileges are read into memory.
Database, table and column privileges take effect at once and
user-level privileges take effect the next time the user connects.
Modifications to the grant tables that you perform using GRANT or
REVOKE are noticed by the server immediately.
If you modify the grant tables manually (using INSERT, UPDATE,
etc.), you should execute a FLUSH PRIVILEGES statement or run
mysqladmin flush-privileges to tell the server to reload the grant
tables.
See section 6.11 When privilege changes take effect.
The biggest differences between the ANSI SQL and MySQL versions of
GRANT are:
REVOKE commands or by manipulating the
MySQL grant tables.
CREATE INDEX syntaxCREATE [UNIQUE] 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 3.22 or later, CREATE INDEX is mapped to an
ALTER TABLE statement to create indexes.
See section 7.8 ALTER TABLE syntax.
Normally, you create all indexes on a table at the time the table itself
is created with CREATE TABLE.
See section 7.7 CREATE TABLE syntax.
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. (On
BLOB and TEXT columns the length is required). The
statement shown below 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 useing
MySQL version 3.23.2 or newer and are using the MyISAM
table type.
For more information about how MySQL uses indexes, see section 12.4 How MySQL uses indexes.
DROP INDEX syntaxDROP 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 3.22 or later, DROP INDEX is mapped to an
ALTER TABLE statement to drop the index.
See section 7.8 ALTER TABLE 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 -- comment style requires you to have at least one space
after the --!
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 doesn't support the `--' ANSI SQL comment style. See section 5.4.7 `--' as the start of a comment.
CREATE FUNCTION/DROP FUNCTION syntax
CREATE [AGGREGATE] FUNCTION function_name RETURNS {STRING|REAL|INTEGER}
SONAME shared_library_name
DROP FUNCTION function_name
A user-definable function (UDF) is a way to extend MySQL with a new
function that works like native (built in) MySQL functions such as
ABS() and CONCAT().
AGGREGATE is a new option for MySQL 3.23. An
AGGREGATE function works exactly like a native MySQL
GROUP function like SUM or COUNT().
CREATE FUNCTION saves the function's name, type and shared library
name in the mysql.func system table. You must have the
insert and delete privileges for the mysql database
to create and drop functions.
All active functions are reloaded each time the server starts, unless
you start mysqld with the --skip-grant-tables option. In
this case, UDF initialization is skipped and UDFs are unavailable.
(An active function is one that has been loaded with CREATE FUNCTION
and not removed with DROP FUNCTION.)
For instructions on writing user-definable functions, see section 16 Adding new functions to MySQL. For the UDF mechanism to work, functions must be written in C or
C++, your operating system must support dynamic loading and you must have
compiled mysqld dynamically (not statically).
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 an allowed column name), but whitespace is not allowed between
a function name and the `(' when using functions whose names are also
column names.
The following words are explicitly reserved in MySQL. Most of
them are forbidden by ANSI SQL92 as column and/or table names
(for example, group).
A few are reserved because MySQL needs them and is
(currently) using a yacc parser:
action | add | aggregate | all
|
alter | after | and | as
|
asc | avg | avg_row_length | auto_increment
|
between | bigint | bit | binary
|
blob | bool | both | by
|
cascade | case | char | character
|
change | check | checksum | column
|
columns | comment | constraint | create
|
cross | current_date | current_time | current_timestamp
|
data | database | databases | date
|
datetime | day | day_hour | day_minute
|
day_second | dayofmonth | dayofweek | dayofyear
|
dec | decimal | default | delayed
|
delay_key_write | delete | desc | describe
|
distinct | distinctrow | double | drop
|
end | else | escape | escaped
|
enclosed | enum | explain | exists
|
fields | file | first | float
|
float4 | float8 | flush | foreign
|
from | for | full | function
|
global | grant | grants | group
|
having | heap | high_priority | hour
|
hour_minute | hour_second | hosts | identified
|
ignore | in | index | infile
|
inner | insert | insert_id | int
|
integer | interval | int1 | int2
|
int3 | int4 | int8 | into
|
if | is | isam | join
|
key | keys | kill | last_insert_id
|
leading | left | length | like
|
lines | limit | load | local
|
lock | logs | long | longblob
|
longtext | low_priority | max | max_rows
|
match | mediumblob | mediumtext | mediumint
|
middleint | min_rows | minute | minute_second
|
modify | month | monthname | myisam
|
natural | numeric | no | not
|
null | on | optimize | option
|
optionally | or | order | outer
|
outfile | pack_keys | partial | password
|
precision | primary | procedure | process
|
processlist | privileges | read | real
|
references | reload | regexp | rename
|
replace | restrict | returns | revoke
|
rlike | row | rows | second
|
select | set | show | shutdown
|
smallint | soname | sql_big_tables | sql_big_selects
|
sql_low_priority_updates | sql_log_off | sql_log_update | sql_select_limit
|
sql_small_result | sql_big_result | sql_warnings | straight_join
|
starting | status | string | table
|
tables | temporary | terminated | text
|
then | time | timestamp | tinyblob
|
tinytext | tinyint | trailing | to
|
type | use | using | unique
|
unlock | unsigned | update | usage
|
values | varchar | variables | varying
|
varbinary | with | write | when
|
where | year | year_month | zerofill
|
The following symbols (from the table above) are disallowed by ANSI SQL 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
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