[+/-]
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name [(col_name,...)]
{VALUES | VALUE} ({expr | DEFAULT},...),(...),...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
Or:
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name
SET col_name={expr | DEFAULT}, ...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
Or:
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name [(col_name,...)]
SELECT ...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
INSERT inserts new rows into an existing table.
The INSERT ... VALUES and INSERT ...
SET forms of the statement insert rows based on
explicitly specified values. The INSERT ...
SELECT form inserts rows selected from another table or
tables. INSERT ... SELECT is discussed further
in Section 12.2.4.1, “INSERT ... SELECT Syntax”.
You can use REPLACE instead of
INSERT to overwrite old rows.
REPLACE is the counterpart to INSERT
IGNORE in the treatment of new rows that contain unique
key values that duplicate old rows: The new rows are used to
replace the old rows rather than being discarded. See
Section 12.2.7, “REPLACE Syntax”.
tbl_name is the table into which rows
should be inserted. The columns for which the statement provides
values can be specified as follows:
You can provide a comma-separated list of column names
following the table name. In this case, a value for each named
column must be provided by the VALUES list
or the SELECT statement.
If you do not specify a list of column names for
INSERT ... VALUES or INSERT ...
SELECT, values for every column in the table must be
provided by the VALUES list or the
SELECT statement. If you do not know the
order of the columns in the table, use DESCRIBE
to find out.
tbl_name
The SET clause indicates the column names
explicitly.
Column values can be given in several ways:
If you are not running in strict SQL mode, any column not explicitly given a value is set to its default (explicit or implicit) value. For example, if you specify a column list that does not name all the columns in the table, unnamed columns are set to their default values. Default value assignment is described in Section 10.1.4, “Data Type Default Values”. See also Section 1.8.6.2, “Constraints on Invalid Data”.
If you want an INSERT statement to generate
an error unless you explicitly specify values for all columns
that do not have a default value, you should use strict mode.
See Section 5.1.7, “SQL Modes”.
Use the keyword DEFAULT to set a column
explicitly to its default value. This makes it easier to write
INSERT statements that assign values to all
but a few columns, because it enables you to avoid writing an
incomplete VALUES list that does not
include a value for each column in the table. Otherwise, you
would have to write out the list of column names corresponding
to each value in the VALUES list.
You can also use
DEFAULT(
as a more general form that can be used in expressions to
produce a given column's default value.
col_name)
If both the column list and the VALUES list
are empty, INSERT creates a row with each
column set to its default value:
INSERT INTO tbl_name () VALUES();
In strict mode, an error occurs if any column doesn't have a default value. Otherwise, MySQL uses the implicit default value for any column that does not have an explicitly defined default.
You can specify an expression expr
to provide a column value. This might involve type conversion
if the type of the expression does not match the type of the
column, and conversion of a given value can result in
different inserted values depending on the data type. For
example, inserting the string '1999.0e-2'
into an INT, FLOAT,
DECIMAL(10,6), or YEAR
column results in the values 1999,
19.9921, 19.992100, and
1999 being inserted, respectively. The
reason the value stored in the INT and
YEAR columns is 1999 is
that the string-to-integer conversion looks only at as much of
the initial part of the string as may be considered a valid
integer or year. For the floating-point and fixed-point
columns, the string-to-floating-point conversion considers the
entire string a valid floating-point value.
An expression expr can refer to any
column that was set earlier in a value list. For example, you
can do this because the value for col2
refers to col1, which has previously been
assigned:
INSERT INTO tbl_name (col1,col2) VALUES(15,col1*2);
But the following is not legal, because the value for
col1 refers to col2,
which is assigned after col1:
INSERT INTO tbl_name (col1,col2) VALUES(col2*2,15);
One exception involves columns that contain
AUTO_INCREMENT values. Because the
AUTO_INCREMENT value is generated after
other value assignments, any reference to an
AUTO_INCREMENT column in the assignment
returns a 0.
INSERT statements that use
VALUES syntax can insert multiple rows. To do
this, include multiple lists of column values, each enclosed
within parentheses and separated by commas. Example:
INSERT INTO tbl_name (a,b,c) VALUES(1,2,3),(4,5,6),(7,8,9);
The values list for each row must be enclosed within parentheses. The following statement is illegal because the number of values in the list does not match the number of column names:
INSERT INTO tbl_name (a,b,c) VALUES(1,2,3,4,5,6,7,8,9);
VALUE is a synonym for
VALUES in this context. Neither implies
anything about the number of values lists, and either may be used
whether there is a single values list or multiple lists.
The affected-rows value for an INSERT can be
obtained using the ROW_COUNT()
function (see Section 11.11.3, “Information Functions”), or the
mysql_affected_rows() C API
function (see Section 28.2.3.1, “mysql_affected_rows()”).
If you use an INSERT ... VALUES statement with
multiple value lists or INSERT ... SELECT, the
statement returns an information string in this format:
Records: 100 Duplicates: 0 Warnings: 0
Records indicates the number of rows processed
by the statement. (This is not necessarily the number of rows
actually inserted because Duplicates can be
non-zero.) Duplicates indicates the number of
rows that could not 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:
Inserting NULL into a column that has been
declared NOT NULL. For multiple-row
INSERT statements or INSERT INTO
... SELECT statements, the column is set to the
implicit default value for the column data type. This is
0 for numeric types, the empty string
('') for string types, and the
“zero” value for date and time types.
INSERT INTO ... SELECT statements are
handled the same way as multiple-row inserts because the
server does not examine the result set from the
SELECT to see whether it returns a single
row. (For a single-row INSERT, no warning
occurs when NULL is inserted into a
NOT NULL column. Instead, the statement
fails with an error.)
Setting a numeric column to a value that lies outside the column's range. The value is clipped to the closest endpoint of the range.
Assigning a value such as '10.34 a' to a
numeric column. The trailing non-numeric text is stripped off
and the remaining numeric part is inserted. If the string
value has no leading numeric part, the column is set to
0.
Inserting a string into a string column
(CHAR, VARCHAR,
TEXT, or BLOB) that
exceeds the column's maximum length. The value is truncated to
the column's maximum length.
Inserting a value into a date or time column that is illegal for the data type. The column is set to the appropriate zero value for the type.
If you are using the C API, the information string can be obtained
by invoking the mysql_info()
function. See Section 28.2.3.35, “mysql_info()”.
If INSERT inserts a row into a table that has
an AUTO_INCREMENT column, you can find the
value used for that column by using the SQL
LAST_INSERT_ID() function. From
within the C API, use the
mysql_insert_id() function.
However, you should note that the two functions do not always
behave identically. The behavior of INSERT
statements with respect to AUTO_INCREMENT
columns is discussed further in
Section 11.11.3, “Information Functions”, and
Section 28.2.3.37, “mysql_insert_id()”.
The INSERT statement supports the following
modifiers:
If you use the DELAYED keyword, the server
puts the row or rows to be inserted into a buffer, and the
client issuing the INSERT DELAYED statement
can then continue immediately. If the table is in use, the
server holds the rows. When the table is free, the server
begins inserting rows, checking periodically to see whether
there are any new read requests for the table. If there are,
the delayed row queue is suspended until the table becomes
free again. See Section 12.2.4.2, “INSERT DELAYED Syntax”.
DELAYED is ignored with INSERT ...
SELECT or INSERT ... ON DUPLICATE KEY
UPDATE.
DELAYED is also disregarded for an
INSERT that uses functions accessing tables
or triggers, or that is called from a function or a trigger.
If you use the LOW_PRIORITY keyword,
execution of the INSERT is delayed until no
other clients are reading from the table. This includes other
clients that began reading while existing clients are reading,
and while the INSERT LOW_PRIORITY statement
is waiting. It is possible, therefore, for a client that
issues an INSERT LOW_PRIORITY statement to
wait for a very long time (or even forever) in a read-heavy
environment. (This is in contrast to INSERT
DELAYED, which lets the client continue at once.
Note that LOW_PRIORITY should normally not
be used with MyISAM tables because doing so
disables concurrent inserts. See
Section 7.3.3, “Concurrent Inserts”.
If you specify HIGH_PRIORITY, it overrides
the effect of the --low-priority-updates
option if the server was started with that option. It also
causes concurrent inserts not to be used. See
Section 7.3.3, “Concurrent Inserts”.
LOW_PRIORITY and
HIGH_PRIORITY affect only storage engines
that use only table-level locking (MyISAM,
MEMORY, MERGE).
If you use the IGNORE keyword, errors that
occur while executing the INSERT statement
are treated as warnings instead. For example, without
IGNORE, a row that duplicates an existing
UNIQUE index or PRIMARY
KEY value in the table causes a duplicate-key error
and the statement is aborted. With IGNORE,
the row still is not inserted, but no error is issued.
IGNORE has a similar effect on inserts into
partitioned tables where no partition matching a given value
is found. Without IGNORE, such
INSERT statements are aborted with an
error; however, when INSERT IGNORE is used,
the insert operation fails silently for the row containing the
unmatched value, but any rows that are matched are inserted.
For an example, see Section 20.2.2, “LIST Partitioning”.
Data conversions that would trigger errors abort the statement
if IGNORE is not specified. With
IGNORE, invalid values are adjusted to the
closest values and inserted; warnings are produced but the
statement does not abort. You can determine with the
mysql_info() C API function
how many rows were actually inserted into the table.
If you specify ON DUPLICATE KEY UPDATE, and
a row is inserted that would cause a duplicate value in a
UNIQUE index or PRIMARY
KEY, an UPDATE of the old row is
performed. The affected-rows value per row is 1 if the row is
inserted as a new row and 2 if an existing row is updated. See
Section 12.2.4.3, “INSERT ... ON DUPLICATE KEY UPDATE Syntax”.
Inserting into a table requires the INSERT
privilege for the table. If the ON DUPLICATE KEY
UPDATE clause is used and a duplicate key causes an
UPDATE to be performed instead, the statement
requires the UPDATE privilege for the columns
to be updated. For columns that are read but not modified you need
only the SELECT privilege (such as for a column
referenced only on the right hand side of an
col_name=expr
assignment in an ON DUPLICATE KEY UPDATE
clause).

User Comments
To insert special characters, like the "apostrophe" read the section on string syntax: http://www.mysql.com/doc/en/String_syntax.html
Here's an example:
insert into Citylist (cityname) VALUES ('St. John\'s')
Please note: "INSERT... ON DUPLICATE KEY UPDATE..." can also use a compound (unique) key to check for duplication. This is very userful. For example:
If you have a log table to log hits to different websites daily, with "site_id"-s and "time" fields, where neither of them are primary keys, but togethether they are unique, then you can create a key on them, and then use "...ON DUPLICATE KEY..."
Table logs:
id: INT(11) auto_increment primary key
site_id: INT(11)
time: DATE
hits: INT(11)
Then:
CREATE UNIQUE INDEX comp ON logs (`site_id`, `time`);
And then you can:
INSERT INTO logs (`site_id`, `time`,`hits`) VALUES (1,"2004-08-09", 15) ON DUPLICATE KEY UPDATE hits=hits+15;
Excellent feature, and it is much faster and briefer then using first a select, then issuing either an update or an insert depending on the value of the select. You also get rid of the probably necessary table-lock during this action.
When using the INSERT ... ON DUPLICATE KEY UPDATE statement, the returned value is as follows:
1 for each successful INSERT.
2 for each successful UPDATE.
For example, if you insert 5 rows with this syntax, and 3 of them were inserted while 2 were updated, the return value would be 7:
((3 inserts * 1) + (2 updates * 2)) = 7.
The return value may at first appear worrisome, as only 5 rows in the table were actually modified, but actually provides more information, because you can determine the quantities of each query type performed from the return value.
For further information, see:
http://bugs.mysql.com/bug.php?id=2709
Fusion des fiches / How to make a file fusion and save it in a new table?
Le code suivant permet de créer une nouvelle table appelée "fusion" avec les champs partition en, classe, segment, F tot, F loc et indice specif.
CREATE TABLE `fusion` (
`partition en` VARCHAR( 11 ) NOT NULL,
`classe` VARCHAR( 11 ) NOT NULL,
`segment` TEXT NOT NULL ,
`F tot` INT NOT NULL ,
`F loc` INT NOT NULL ,
`indice specif` INT NOT NULL
);
On peut mettre à la suite de ce code, le code suivant autant de fois que voulu qui permet de fusionner les tables dans la nouvelle table "fusion":
INSERT INTO l4stal13prema00.`fusion` ( `partition en` ,
`classe` ,
`segment` ,
`F tot` ,
`F loc` ,
`indice specif` )
SELECT *
FROM f3p1
WHERE 1;
INSERT INTO l4stal13prema00.`fusion` ( `partition en` ,
`classe` ,
`segment` ,
`F tot` ,
`F loc` ,
`indice specif` )
SELECT *
FROM f3p2
WHERE 1;
Eviter les répétitions grâce à count(Segment)/ How to avoid REPETITIONS and save it in a new table with COUNT and INSERT ?
http://dev.mysql.com/doc/mysql/en/Counting_rows.html
If you know another way when inserting several files with almost the same data (cat dog turtle + cat dog parrot= cat dog turtle parrot) and avoid repetition, tell it please?
Perhaps it's good to add a reference in the part on the ON DUPLICATE KEY feature to the older REPLACE function, which does a DELETE+INSERT instead of an UPDATE in case of existing key/unique values.
If you do an "INSERT ... ON DUPLICATE KEY UPDATE ..." and neither an insert is possible (because of duplicate keys) nor an update is necessary (because of identical values) you get "2 affected rows" anyway.
If you need plan to get the LAST_INSERT_ID() from a INSERT ... ON DUPLICATE KEY. use ``insert into ... on duplicate key id = LAST_INSERT_ID(id), ...;''
If you do this then SELECT LAST_INSERT_ID() will return either the inserted id or the updated id.
I haven't seen this mentioned elsewhere on this page, but you can use a SELECT statement as a single value if it returns a single value. For example, if we have two tables, t1 and t2:
5 rows in set (0.00 sec)CREATE TABLE t1 (
a INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
b VARCHAR(10)) TYPE=InnoDB;
INSERT INTO t1 (b) VALUES ('Spike'), ('Chip'), ('John');
CREATE TABLE t2 (
a INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
b INT NOT NULL,
FOREIGN KEY (b) REFERENCES t1 (a),
c VARCHAR(15)) TYPE=InnoDB;
We can INSERT rows into t2 that populate the foreign key column based on a SELECT statement on t1:
INSERT INTO t2 (b, c)
VALUES ((SELECT a FROM t1 WHERE b='Chip'), 'shoulder'),
((SELECT a FROM t1 WHERE b='Chip'), 'old block'),
((SELECT a FROM t1 WHERE b='John'), 'toilet'),
((SELECT a FROM t1 WHERE b='John'), 'long,silver'),
((SELECT a FROM t1 WHERE b='John'), 'li''l');
Then we get:
mysql> SELECT * FROM t2;
This is especially useful if you don't want to specify the ids for your rows (because they may differ from database to database, due to their being based on AUTO_INCREMENTs), but you want to refer to the values of other tables.
I haven't tested this to determine the version of MySQL this was introduced into, or whether it is necessary that the tables be InnoDB, but it works on my boxes (MySQL 4.1.12)
If you want to add to a tableA a column existing in a tableB:
1) Create an empty column in the tableA:
ALTER TABLE tableA ADD color CHAR(20);
2) If you don't have an auto-incrementation in the two tables (tableB for exemple):
ALTER TABLE tableB ADD (id INT AUTO_INCREMENT NOT NULL, PRIMARY KEY(id));
3) Fill the columns with the values:
UPDATE tableA,tableB SET tableA.color=tableB.color WHERE tableA.id=tableB.id;
If you want to combine insert..select with setting an explicit value for a column - you can use join:
INSERT INTO TargetTable (col1, col2, col3)
SELECT col1,col2,col3
FROM SourceTable JOIN (SELECT 'ExplicitValue' AS col3) AS AnyAlias
This looks quite simple but it took me several hours to understand that there's no need for a special statement to handle such cases.
Regards!
To Jan Jędrzejczyk:
> INSERT INTO TargetTable (col1, col2, col3)
> SELECT col1,col2,col3
> FROM SourceTable
> JOIN (SELECT 'ExplicitValue' AS col3) AS AnyAlias
You could easily do the same thing just by using:
INSERT INTO TargetTable (col1, col2, col3)
SELECT col1,col2, 'ExplicitValue'
FROM SourceTable
hth,
Lokar
I've just discovered that the UPDATE part of the INSERT ... ON DUPLICATE KEY UPDATE syntax doesn't replicate to my slave servers. REPLACE works OK and is only slightly slower. This is with server version 5.0.36sp1-enterprise-gpl-log. I wouldn't recommend anyone use the INSERT ... UPDATE syntax in a replication environment.
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