CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name(create_definition,...) [table_options] [partition_options]
Or:
CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name[(create_definition,...)] [table_options] [partition_options]select_statement
Or:
CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name{ LIKEold_tbl_name| (LIKEold_tbl_name) }
create_definition:col_namecolumn_definition| [CONSTRAINT [symbol]] PRIMARY KEY [index_type] (index_col_name,...) [index_option] ... | {INDEX|KEY} [index_name] [index_type] (index_col_name,...) [index_option] ... | [CONSTRAINT [symbol]] UNIQUE [INDEX|KEY] [index_name] [index_type] (index_col_name,...) [index_option] ... | {FULLTEXT|SPATIAL} [INDEX|KEY] [index_name] (index_col_name,...) [index_option] ... | [CONSTRAINT [symbol]] FOREIGN KEY [index_name] (index_col_name,...)reference_definition| CHECK (expr)column_definition:data_type[NOT NULL | NULL] [DEFAULTdefault_value] [AUTO_INCREMENT] [UNIQUE [KEY] | [PRIMARY] KEY] [COMMENT 'string'] [COLUMN_FORMAT {FIXED|DYNAMIC|DEFAULT}] [STORAGE {DISK|MEMORY|DEFAULT}] [reference_definition]data_type: BIT[(length)] | TINYINT[(length)] [UNSIGNED] [ZEROFILL] | SMALLINT[(length)] [UNSIGNED] [ZEROFILL] | MEDIUMINT[(length)] [UNSIGNED] [ZEROFILL] | INT[(length)] [UNSIGNED] [ZEROFILL] | INTEGER[(length)] [UNSIGNED] [ZEROFILL] | BIGINT[(length)] [UNSIGNED] [ZEROFILL] | REAL[(length,decimals)] [UNSIGNED] [ZEROFILL] | DOUBLE[(length,decimals)] [UNSIGNED] [ZEROFILL] | FLOAT[(length,decimals)] [UNSIGNED] [ZEROFILL] | DECIMAL[(length[,decimals])] [UNSIGNED] [ZEROFILL] | NUMERIC[(length[,decimals])] [UNSIGNED] [ZEROFILL] | DATE | TIME | TIMESTAMP | DATETIME | YEAR | CHAR[(length)] [CHARACTER SETcharset_name] [COLLATEcollation_name] | VARCHAR(length) [CHARACTER SETcharset_name] [COLLATEcollation_name] | BINARY[(length)] | VARBINARY(length) | TINYBLOB | BLOB | MEDIUMBLOB | LONGBLOB | TINYTEXT [BINARY] [CHARACTER SETcharset_name] [COLLATEcollation_name] | TEXT [BINARY] [CHARACTER SETcharset_name] [COLLATEcollation_name] | MEDIUMTEXT [BINARY] [CHARACTER SETcharset_name] [COLLATEcollation_name] | LONGTEXT [BINARY] [CHARACTER SETcharset_name] [COLLATEcollation_name] | ENUM(value1,value2,value3,...) [CHARACTER SETcharset_name] [COLLATEcollation_name] | SET(value1,value2,value3,...) [CHARACTER SETcharset_name] [COLLATEcollation_name] |spatial_typeindex_col_name:col_name[(length)] [ASC | DESC]index_type: USING {BTREE | HASH | RTREE}index_option: KEY_BLOCK_SIZE [=]value|index_type| WITH PARSERparser_namereference_definition: REFERENCEStbl_name(index_col_name,...) [MATCH FULL | MATCH PARTIAL | MATCH SIMPLE] [ON DELETEreference_option] [ON UPDATEreference_option]reference_option: RESTRICT | CASCADE | SET NULL | NO ACTIONtable_options:table_option[[,]table_option] ...table_option: ENGINE [=]engine_name| AUTO_INCREMENT [=]value| AVG_ROW_LENGTH [=]value| [DEFAULT] CHARACTER SET [=]charset_name| CHECKSUM [=] {0 | 1} | [DEFAULT] COLLATE [=]collation_name| COMMENT [=] 'string' | CONNECTION [=] 'connect_string' | DATA DIRECTORY [=] 'absolute path to directory' | DELAY_KEY_WRITE [=] {0 | 1} | INDEX DIRECTORY [=] 'absolute path to directory' | INSERT_METHOD [=] { NO | FIRST | LAST } | KEY_BLOCK_SIZE [=]value| MAX_ROWS [=]value| MIN_ROWS [=]value| PACK_KEYS [=] {0 | 1 | DEFAULT} | PASSWORD [=] 'string' | ROW_FORMAT [=] {DEFAULT|DYNAMIC|FIXED|COMPRESSED|REDUNDANT|COMPACT} | TABLESPACEtablespace_name[STORAGE {DISK|MEMORY|DEFAULT}] | UNION [=] (tbl_name[,tbl_name]...)partition_options: PARTITION BY { [LINEAR] HASH(expr) | [LINEAR] KEY(column_list) | RANGE(expr) | LIST(expr) } [PARTITIONSnum] [SUBPARTITION BY { [LINEAR] HASH(expr) | [LINEAR] KEY(column_list) } [SUBPARTITIONSnum] ] [(partition_definition[,partition_definition] ...)]partition_definition: PARTITIONpartition_name[VALUES {LESS THAN {(expr) |MAXVALUE} | IN (value_list)}] [[STORAGE] ENGINE [=]engine_name] [COMMENT [=]'comment_text'] [DATA DIRECTORY [=] ''] [INDEX DIRECTORY [=] 'data_dir'] [MAX_ROWS [=]index_dirmax_number_of_rows] [MIN_ROWS [=]min_number_of_rows] [TABLESPACE [=]tablespace_name] [NODEGROUP [=]node_group_id] [(subpartition_definition[,subpartition_definition] ...)]subpartition_definition: SUBPARTITIONlogical_name[[STORAGE] ENGINE [=]engine_name] [COMMENT [=]'comment_text'] [DATA DIRECTORY [=] ''] [INDEX DIRECTORY [=] 'data_dir'] [MAX_ROWS [=]index_dirmax_number_of_rows] [MIN_ROWS [=]min_number_of_rows] [TABLESPACE [=]tablespace_name] [NODEGROUP [=]node_group_id]select_statement:[IGNORE | REPLACE] [AS] SELECT ... (Some legal select statement)
CREATE TABLE creates a table with
the given name. You must have the
CREATE privilege for the table.
Rules for allowable table names are given in Section 8.2, “Schema Object Names”. By default, the table is created in the default database. An error occurs if the table exists, if there is no default database, or if the database does not exist.
The table name can be specified as
db_name.tbl_name to create the table in
a specific database. This works regardless of whether there is a
default database, assuming that the database exists. If you use
quoted identifiers, quote the database and table names separately.
For example, write `mydb`.`mytbl`, not
`mydb.mytbl`.
You can use the TEMPORARY keyword when creating
a table. A TEMPORARY table is visible only to
the current connection, and is dropped automatically when the
connection is closed. This means that two different connections
can use the same temporary table name without conflicting with
each other or with an existing non-TEMPORARY
table of the same name. (The existing table is hidden until the
temporary table is dropped.) To create temporary tables, you must
have the CREATE TEMPORARY TABLES
privilege.
CREATE TABLE does not
automatically commit the current active transaction if you use
the TEMPORARY keyword.
The keywords IF NOT EXISTS prevent an error
from occurring if the table exists. However, there is no
verification that the existing table has a structure identical to
that indicated by the CREATE TABLE
statement.
MySQL represents each table by an .frm table
format (definition) file in the database directory. The storage
engine for the table might create other files as well. In the case
of MyISAM tables, the storage engine creates
data and index files. Thus, for each MyISAM
table tbl_name, there are three disk
files.
| File | Purpose |
|
Table format (definition) file |
|
Data file |
|
Index file |
Chapter 13, Storage Engines, describes what files each storage engine creates to represent tables. If a table name contains special characters, the names for the table files contain encoded versions of those characters as described in Section 8.2.3, “Mapping of Identifiers to File Names”.
data_type represents the data type in a
column definition. spatial_type
represents a spatial data type. The data type syntax shown is
representative only. For a full description of the syntax
available for specifying column data types, as well as information
about the properties of each type, see
Chapter 10, Data Types, and
Section 11.13, “Spatial Extensions”.
Some attributes do not apply to all data types.
AUTO_INCREMENT applies only to integer and
floating-point types. DEFAULT does not apply to
the BLOB or
TEXT types.
If neither NULL nor NOT
NULL is specified, the column is treated as though
NULL had been specified.
An integer or floating-point column can have the additional
attribute AUTO_INCREMENT. When you insert a
value of NULL (recommended) or
0 into an indexed
AUTO_INCREMENT column, the column is set to
the next sequence value. Typically this is
, where
value+1value is the largest value for the
column currently in the table.
AUTO_INCREMENT sequences begin with
1.
To retrieve an AUTO_INCREMENT value after
inserting a row, use the
LAST_INSERT_ID() SQL function
or the mysql_insert_id() C API
function. See Section 11.11.3, “Information Functions”, and
Section 21.9.3.37, “mysql_insert_id()”.
If the NO_AUTO_VALUE_ON_ZERO
SQL mode is enabled, you can store 0 in
AUTO_INCREMENT columns as
0 without generating a new sequence value.
See Section 5.1.8, “Server SQL Modes”.
There can be only one AUTO_INCREMENT
column per table, it must be indexed, and it cannot have a
DEFAULT value. An
AUTO_INCREMENT column works properly only
if it contains only positive values. Inserting a negative
number is regarded as inserting a very large positive
number. This is done to avoid precision problems when
numbers “wrap” over from positive to negative
and also to ensure that you do not accidentally get an
AUTO_INCREMENT column that contains
0.
For MyISAM tables, you can specify an
AUTO_INCREMENT secondary column in a
multiple-column key. See
Section 3.6.9, “Using AUTO_INCREMENT”.
To make MySQL compatible with some ODBC applications, you can
find the AUTO_INCREMENT value for the last
inserted row with the following query:
SELECT * FROMtbl_nameWHEREauto_colIS NULL
For information about InnoDB and
AUTO_INCREMENT, see
Section 13.6.4.3, “AUTO_INCREMENT Handling in InnoDB”.
Character data types (CHAR,
VARCHAR,
TEXT) can include
CHARACTER SET and
COLLATE attributes to specify the character
set and collation for the column. For details, see
Section 9.1, “Character Set Support”. CHARSET is a
synonym for CHARACTER SET. Example:
CREATE TABLE t (c CHAR(20) CHARACTER SET utf8 COLLATE utf8_bin);
MySQL 5.1 interprets length specifications in
character column definitions in characters. (Versions before
MySQL 4.1 interpreted them in bytes.) Lengths for
BINARY and
VARBINARY are in bytes.
The DEFAULT clause specifies a default
value for a column. With one exception, the default value must
be a constant; it cannot be a function or an expression. This
means, for example, that you cannot set the default for a date
column to be the value of a function such as
NOW() or
CURRENT_DATE. The exception is
that you can specify
CURRENT_TIMESTAMP as the
default for a TIMESTAMP column.
See Section 10.3.1.1, “TIMESTAMP Properties”.
If a column definition includes no explicit
DEFAULT value, MySQL determines the default
value as described in Section 10.1.4, “Data Type Default Values”.
BLOB and
TEXT columns cannot be assigned
a default value.
CREATE TABLE fails if a
date-valued default is not correct according to the
NO_ZERO_IN_DATE SQL mode,
even if strict SQL mode is not enabled. For example,
c1 DATE DEFAULT '2010-00-00' causes
CREATE TABLE to fail with
Invalid default value for 'c1'.
Native default value handling in MySQL Cluster NDB 7.1 and later.
Starting with MySQL Cluster NDB 7.1.0, default values for
table columns are stored by
NDBCLUSTER, rather than by the
MySQL server as was previously the case. Because less data
must be sent from an SQL node to the data nodes, inserts on
tables having column value defaults can be performed more
efficiently than before.
Tables created using previous MySQL Cluster releases can still
be used in MySQL Cluster 7.1.0 and later, although they do not
support native default values and continue to use defaults
supplied by the MySQL server until they are upgraded. This can
be done by means of an offline ALTER
TABLE statement.
You cannot set or change a table column's default value
using an online ALTER TABLE
operation
Tables created in MySQL Cluster NDB 7.1.0 and later cannot be used with earlier versions of MySQL Cluster.
NDBCLUSTER tables supporting
native default values are still subject to the restrictions on
default values imposed by the MySQL server. For more
information, see Section 10.1.4, “Data Type Default Values”.
A comment for a column can be specified with the
COMMENT option, up to 255 characters long.
The comment is displayed by the SHOW
CREATE TABLE and
SHOW FULL
COLUMNS statements.
Beginning with MySQL Cluster NDB 6.2.5 and MySQL Cluster NDB
6.3.2, it is also possible to specify a data storage format
for individual columns of NDB
tables using COLUMN_FORMAT. Allowable
column formats are FIXED,
DYNAMIC, and DEFAULT.
FIXED is used to specify
fixed-width storage, DYNAMIC allows the
column to be variable-width, and DEFAULT
causes the column to use fixed-width or variable-width storage
as determined by the column's data type (possibly overridden
by a ROW_FORMAT specifier).
For NDB tables, the default value
for COLUMN_FORMAT is
DEFAULT.
COLUMN_FORMAT currently has no effect on
columns of tables using storage engines other than
NDB.
For NDB tables, beginning with
MySQL Cluster NDB 6.2.5 and MySQL Cluster NDB 6.3.2, it is
also possible to specify whether the column is stored on disk
or in memory by using a STORAGE clause.
STORAGE DISK causes the column to be stored
on disk, and STORAGE MEMORY causes
in-memory storage to be used. The CREATE
TABLE statement used must still include a
TABLESPACE clause:
mysql>CREATE TABLE t1 (->c1 INT STORAGE DISK,->c2 INT STORAGE MEMORY->) ENGINE NDB;ERROR 1005 (HY000): Can't create table 'c.t1' (errno: 140) mysql>CREATE TABLE t1 (->c1 INT STORAGE DISK,->c2 INT STORAGE MEMORY->) TABLESPACE ts_1 ENGINE NDB;Query OK, 0 rows affected (1.06 sec)
For NDB tables, STORAGE
DEFAULT is equivalent to STORAGE
MEMORY.
The STORAGE clause has no effect on tables
using storage engines other than
NDB.
KEY is normally a synonym for
INDEX. The key attribute PRIMARY
KEY can also be specified as just
KEY when given in a column definition. This
was implemented for compatibility with other database systems.
A UNIQUE index creates a constraint such
that all values in the index must be distinct. An error occurs
if you try to add a new row with a key value that matches an
existing row. For all engines, a UNIQUE
index allows multiple NULL values for
columns that can contain NULL.
A PRIMARY KEY is a unique index where all
key columns must be defined as NOT NULL. If
they are not explicitly declared as NOT
NULL, MySQL declares them so implicitly (and
silently). A table can have only one PRIMARY
KEY. If you do not have a PRIMARY
KEY and an application asks for the PRIMARY
KEY in your tables, MySQL returns the first
UNIQUE index that has no
NULL columns as the PRIMARY
KEY.
In InnoDB tables, having a long
PRIMARY KEY wastes a lot of space. (See
Section 13.6.10, “InnoDB Table and Index Structures”.)
In the created table, a PRIMARY KEY is
placed first, followed by all UNIQUE
indexes, and then the nonunique indexes. This helps the MySQL
optimizer to prioritize which index to use and also more
quickly to detect duplicated UNIQUE keys.
A PRIMARY KEY can be a multiple-column
index. However, you cannot create a multiple-column index
using the PRIMARY KEY key attribute in a
column specification. Doing so only marks that single column
as primary. You must use a separate PRIMARY
KEY(
clause.
index_col_name, ...)
If a PRIMARY KEY or
UNIQUE index consists of only one column
that has an integer type, you can also refer to the column as
_rowid in
SELECT statements.
In MySQL, the name of a PRIMARY KEY is
PRIMARY. For other indexes, if you do not
assign a name, the index is assigned the same name as the
first indexed column, with an optional suffix
(_2, _3,
...) to make it unique. You can see index
names for a table using SHOW INDEX FROM
. See
Section 12.4.5.23, “tbl_nameSHOW INDEX Syntax”.
Some storage engines allow you to specify an index type when
creating an index. The syntax for the
index_type specifier is
USING .
type_name
Example:
CREATE TABLE lookup (id INT, INDEX USING BTREE (id)) ENGINE = MEMORY;
Before MySQL 5.1.10, USING can be given
only before the index column list. As of 5.1.10, the preferred
position is after the column list. Use of the option before
the column list will no longer be recognized in a future MySQL
release.
index_option values specify
additional options for an index. USING is
one such option. For details about allowable
index_option values, see
Section 12.1.13, “CREATE INDEX Syntax”.
For more information about indexes, see Section 7.4.4, “How MySQL Uses Indexes”.
In MySQL 5.1, only the MyISAM,
InnoDB, and MEMORY
storage engines support indexes on columns that can have
NULL values. In other cases, you must
declare indexed columns as NOT NULL or an
error results.
For CHAR,
VARCHAR,
BINARY, and
VARBINARY columns, indexes can
be created that use only the leading part of column values,
using
syntax to specify an index prefix length.
col_name(length)BLOB and
TEXT columns also can be
indexed, but a prefix length must be
given. Prefix lengths are given in characters for nonbinary
string types and in bytes for binary string types. That is,
index entries consist of the first
length characters of each column
value for CHAR,
VARCHAR, and
TEXT columns, and the first
length bytes of each column value
for BINARY,
VARBINARY, and
BLOB columns. Indexing only a
prefix of column values like this can make the index file much
smaller. See Section 7.4.2, “Column Indexes”.
Only the MyISAM and
InnoDB storage engines support indexing on
BLOB and
TEXT columns. For example:
CREATE TABLE test (blob_col BLOB, INDEX(blob_col(10)));
Prefixes can be up to 1000 bytes long (767 bytes for
InnoDB tables). Note that prefix limits are
measured in bytes, whereas the prefix length in
CREATE TABLE statements is
interpreted as number of characters for nonbinary data types
(CHAR,
VARCHAR,
TEXT). Take this into account
when specifying a prefix length for a column that uses a
multi-byte character set.
An index_col_name specification can
end with ASC or DESC.
These keywords are allowed for future extensions for
specifying ascending or descending index value storage.
Currently, they are parsed but ignored; index values are
always stored in ascending order.
When you use ORDER BY or GROUP
BY on a TEXT or
BLOB column in a
SELECT, the server sorts values
using only the initial number of bytes indicated by the
max_sort_length system
variable. See Section 10.4.3, “The BLOB and
TEXT Types”.
You can create special FULLTEXT indexes,
which are used for full-text searches. Only the
MyISAM storage engine supports
FULLTEXT indexes. They can be created only
from CHAR,
VARCHAR, and
TEXT columns. Indexing always
happens over the entire column; column prefix indexing is not
supported and any prefix length is ignored if specified. See
Section 11.8, “Full-Text Search Functions”, for details of operation. A
WITH PARSER clause can be specified as an
index_option value to associate a
parser plugin with the index if full-text indexing and
searching operations need special handling. This clause is
legal only for FULLTEXT indexes. See
Section 22.2, “The MySQL Plugin API”, for details on creating plugins.
You can create SPATIAL indexes on spatial
data types. Spatial types are supported only for
MyISAM tables and indexed columns must be
declared as NOT NULL. See
Section 11.13, “Spatial Extensions”.
InnoDB tables support checking of foreign
key constraints. See Section 13.6, “The InnoDB Storage Engine”. Note that the
FOREIGN KEY syntax in
InnoDB is more restrictive than the syntax
presented for the CREATE TABLE
statement at the beginning of this section: The columns of the
referenced table must always be explicitly named.
InnoDB supports both ON
DELETE and ON UPDATE actions on
foreign keys. For the precise syntax, see
Section 13.6.4.4, “FOREIGN KEY Constraints”.
For other storage engines, MySQL Server parses and ignores the
FOREIGN KEY and
REFERENCES syntax in
CREATE TABLE statements. The
CHECK clause is parsed but ignored by all
storage engines. See Section 1.8.5.4, “Foreign Keys”.
For users familiar with the ANSI/ISO SQL Standard, please
note that no storage engine, including
InnoDB, recognizes or enforces the
MATCH clause used in referential
integrity constraint definitions. Use of an explicit
MATCH clause will not have the specified
effect, and also causes ON DELETE and
ON UPDATE clauses to be ignored. For
these reasons, specifying MATCH should be
avoided.
The MATCH clause in the SQL standard
controls how NULL values in a composite
(multiple-column) foreign key are handled when comparing to
a primary key. InnoDB essentially
implements the semantics defined by MATCH
SIMPLE, which allow a foreign key to be all or
partially NULL. In that case, the (child
table) row containing such a foreign key is allowed to be
inserted, and does not match any row in the referenced
(parent) table. It is possible to implement other semantics
using triggers.
Additionally, MySQL and InnoDB require
that the referenced columns be indexed for performance.
However, the system does not enforce a requirement that the
referenced columns be UNIQUE or be
declared NOT NULL. The handling of
foreign key references to nonunique keys or keys that
contain NULL values is not well defined
for operations such as UPDATE
or DELETE CASCADE. You are advised to use
foreign keys that reference only UNIQUE
and NOT NULL keys.
Furthermore, InnoDB does not recognize or
support “inline REFERENCES
specifications” (as defined in the SQL standard)
where the references are defined as part of the column
specification. InnoDB accepts
REFERENCES clauses only when specified as
part of a separate FOREIGN KEY
specification. For other storage engines, MySQL Server
parses and ignores foreign key specifications.
Partitioned tables do not support foreign keys. See Section 18.5, “Restrictions and Limitations on Partitioning”, for more information.
There is a hard limit of 4096 columns per table, but the effective maximum may be less for a given table and depends on the factors discussed in Section D.7.2, “The Maximum Number of Columns Per Table”.
The TABLESPACE and STORAGE
table options were both introduced in MySQL 5.1.6. In MySQL 5.1,
they are employed only with
NDBCLUSTER tables. The tablespace
named tablespace_name must already have
been created using CREATE TABLESPACE.
STORAGE determines the type of storage used
(disk or memory), and can be one of DISK,
MEMORY, or DEFAULT.
TABLESPACE ... STORAGE DISK assigns a table to
a MySQL Cluster Disk Data tablespace. See
Section 17.5.10, “MySQL Cluster Disk Data Tables”, for more information.
A STORAGE clause cannot be used in a
CREATE TABLE statement without a
TABLESPACE clause.
The ENGINE table option specifies the storage
engine for the table.
The ENGINE table option takes the storage
engine names shown in the following table.
| Storage Engine | Description |
ARCHIVE |
The archiving storage engine. See
Section 13.12, “The ARCHIVE Storage Engine”. |
CSV |
Tables that store rows in comma-separated values format. See
Section 13.13, “The CSV Storage Engine”. |
EXAMPLE |
An example engine. See Section 13.10, “The EXAMPLE Storage Engine”. |
FEDERATED |
Storage engine that accesses remote tables. See
Section 13.11, “The FEDERATED Storage Engine”. |
HEAP |
This is a synonym for MEMORY. |
ISAM (OBSOLETE) |
Not available in MySQL 5.1. If you are upgrading to MySQL
5.1 from a previous version, you should
convert any existing ISAM tables to
MyISAM before
performing the upgrade. |
InnoDB |
Transaction-safe tables with row locking and foreign keys. See
Section 13.6, “The InnoDB Storage Engine”. |
MEMORY |
The data for this storage engine is stored only in memory. See
Section 13.9, “The MEMORY (HEAP) Storage Engine”. |
MERGE |
A collection of MyISAM tables used as one table. Also
known as MRG_MyISAM. See
Section 13.8, “The MERGE Storage Engine”. |
MyISAM |
The binary portable storage engine that is the default storage engine
used by MySQL. See
Section 13.5, “The MyISAM Storage Engine”. |
NDBCLUSTER |
Clustered, fault-tolerant, memory-based tables. Also known as
NDB. See
Chapter 17, MySQL Cluster NDB 6.X/7.X. |
If a storage engine is specified that is not available, MySQL uses
the default engine instead. Normally, this is
MyISAM. For example, if a table definition
includes the ENGINE=INNODB option but the MySQL
server does not support INNODB tables, the
table is created as a MyISAM table. This makes
it possible to have a replication setup where you have
transactional tables on the master but tables created on the slave
are nontransactional (to get more speed). In MySQL
5.1, a warning occurs if the storage engine
specification is not honored.
Engine substitution can be controlled by the setting of the
NO_ENGINE_SUBSTITUTION SQL mode,
as described in Section 5.1.8, “Server SQL Modes”.
The older TYPE option was synonymous with
ENGINE. TYPE has been
deprecated since MySQL 4.0 but is still supported for backward
compatibility in MySQL 5.1 (excepting MySQL 5.1.7). Since MySQL
5.1.8, it produces a warning. It is removed in MySQL 5.5.
You should not use TYPE in any new
applications, and you should immediately begin conversion of
existing applications to use ENGINE
instead. (See Section C.1.44, “Changes in MySQL 5.1.8 (Not released)”.)
The other table options are used to optimize the behavior of the
table. In most cases, you do not have to specify any of them.
These options apply to all storage engines unless otherwise
indicated. Options that do not apply to a given storage engine may
be accepted and remembered as part of the table definition. Such
options then apply if you later use ALTER
TABLE to convert the table to use a different storage
engine.
AUTO_INCREMENT
The initial AUTO_INCREMENT value for the
table. In MySQL 5.1, this works for
MyISAM, MEMORY, and
InnoDB tables. It also works for
ARCHIVE tables as of MySQL 5.1.6. To set
the first auto-increment value for engines that do not support
the AUTO_INCREMENT table option, insert a
“dummy” row with a value one less than the
desired value after creating the table, and then delete the
dummy row.
For engines that support the AUTO_INCREMENT
table option in CREATE TABLE
statements, you can also use ALTER TABLE
to reset the
tbl_name AUTO_INCREMENT =
NAUTO_INCREMENT value. The value cannot be
set lower than the maximum value currently in the column.
AVG_ROW_LENGTH
An approximation of the average row length for your table. You need to set this only for large tables with variable-size rows.
When you create a MyISAM table, MySQL uses
the product of the MAX_ROWS and
AVG_ROW_LENGTH options to decide how big
the resulting table is. If you don't specify either option,
the maximum size for MyISAM data and index
files is 256TB by default. (If your operating system does not
support files that large, table sizes are constrained by the
file size limit.) If you want to keep down the pointer sizes
to make the index smaller and faster and you don't really need
big files, you can decrease the default pointer size by
setting the
myisam_data_pointer_size
system variable. (See
Section 5.1.4, “Server System Variables”.) If you want all
your tables to be able to grow above the default limit and are
willing to have your tables slightly slower and larger than
necessary, you can increase the default pointer size by
setting this variable. Setting the value to 7 allows table
sizes up to 65,536TB.
[DEFAULT] CHARACTER SET
Specify a default character set for the table.
CHARSET is a synonym for CHARACTER
SET. If the character set name is
DEFAULT, the database character set is
used.
CHECKSUM
Set this to 1 if you want MySQL to maintain a live checksum
for all rows (that is, a checksum that MySQL updates
automatically as the table changes). This makes the table a
little slower to update, but also makes it easier to find
corrupted tables. The CHECKSUM
TABLE statement reports the checksum.
(MyISAM only.)
[DEFAULT] COLLATE
Specify a default collation for the table.
COMMENT
A comment for the table, up to 60 characters long.
CONNECTION
The connection string for a FEDERATED
table.
Older versions of MySQL used a COMMENT
option for the connection string.
DATA DIRECTORY, INDEX
DIRECTORY
By using DATA
DIRECTORY=' or
directory'INDEX
DIRECTORY=' you
can specify where the directory'MyISAM storage engine
should put a table's data file and index file. The directory
must be the full path name to the directory, not a relative
path.
Beginning with MySQL 5.1.23, table-level DATA
DIRECTORY and INDEX DIRECTORY
options are ignored for partitioned tables. (Bug#32091)
These options work only when you are not using the
--skip-symbolic-links
option. Your operating system must also have a working,
thread-safe realpath() call. See
Section 7.6.1.2, “Using Symbolic Links for Tables on Unix”, for more complete
information.
If a MyISAM table is created with no
DATA DIRECTORY option, the
.MYD file is created in the database
directory. By default, if MyISAM finds an
existing .MYD file in this case, it
overwrites it. The same applies to .MYI
files for tables created with no INDEX
DIRECTORY option. As of MySQL 5.1.23, to suppress
this behavior, start the server with the
--keep_files_on_create option,
in which case MyISAM will not overwrite
existing files and returns an error instead.
If a MyISAM table is created with a
DATA DIRECTORY or INDEX
DIRECTORY option and an existing
.MYD or .MYI file is
found, MyISAM always returns an error. It will not overwrite a
file in the specified directory.
Beginning with MySQL 5.1.24, you cannot use path names that
contain the MySQL data directory with DATA
DIRECTORY or INDEX DIRECTORY.
This includes partitioned tables and individual table
partitions. (See Bug#32167.)
DELAY_KEY_WRITE
Set this to 1 if you want to delay key updates for the table
until the table is closed. See the description of the
delay_key_write system
variable in Section 5.1.4, “Server System Variables”.
(MyISAM only.)
INSERT_METHOD
If you want to insert data into a MERGE
table, you must specify with INSERT_METHOD
the table into which the row should be inserted.
INSERT_METHOD is an option useful for
MERGE tables only. Use a value of
FIRST or LAST to have
inserts go to the first or last table, or a value of
NO to prevent inserts. See
Section 13.8, “The MERGE Storage Engine”.
KEY_BLOCK_SIZE
This option provides a hint to the storage engine about the
size in bytes to use for index key blocks. The engine is
allowed to change the value if necessary. A value of 0
indicates that the default value should be used. Individual
index definitions can specify a
KEY_BLOCK_SIZE value of their own to
override the table value. KEY_BLOCK_SIZE
was added in MySQL 5.1.10.
MAX_ROWS
The maximum number of rows you plan to store in the table. This is not a hard limit, but rather a hint to the storage engine that the table must be able to store at least this many rows.
MIN_ROWS
The minimum number of rows you plan to store in the table. The
MEMORY storage engine uses this
option as a hint about memory use.
PACK_KEYS
PACK_KEYS takes effect only with
MyISAM tables. Set this option to 1 if you
want to have smaller indexes. This usually makes updates
slower and reads faster. Setting the option to 0 disables all
packing of keys. Setting it to DEFAULT
tells the storage engine to pack only long
CHAR,
VARCHAR,
BINARY, or
VARBINARY columns.
If you do not use PACK_KEYS, the default is
to pack strings, but not numbers. If you use
PACK_KEYS=1, numbers are packed as well.
When packing binary number keys, MySQL uses prefix compression:
Every key needs one extra byte to indicate how many bytes of the previous key are the same for the next key.
The pointer to the row is stored in high-byte-first order directly after the key, to improve compression.
This means that if you have many equal keys on two consecutive
rows, all following “same” keys usually only take
two bytes (including the pointer to the row). Compare this to
the ordinary case where the following keys takes
storage_size_for_key + pointer_size (where
the pointer size is usually 4). Conversely, you get a
significant benefit from prefix compression only if you have
many numbers that are the same. If all keys are totally
different, you use one byte more per key, if the key is not a
key that can have NULL values. (In this
case, the packed key length is stored in the same byte that is
used to mark if a key is NULL.)
PASSWORD
This option is unused. If you have a need to scramble your
.frm files and make them unusable to any
other MySQL server, please contact our sales department.
RAID_TYPE
RAID support has been removed as of MySQL
5.0. For information on RAID, see
CREATE TABLE Syntax.
ROW_FORMAT
Defines how the rows should be stored. For
MyISAM tables, the option value can be
FIXED or
DYNAMIC for static or variable-length row
format. myisampack sets the type to
COMPRESSED. See
Section 13.5.3, “MyISAM Table Storage Formats”.
For InnoDB tables, rows are stored in
compact format (ROW_FORMAT=COMPACT) by
default. The noncompact format used in older versions of MySQL
can still be requested by specifying
ROW_FORMAT=REDUNDANT.
When executing a CREATE TABLE
statement, if you specify a row format which is not
supported by the storage engine that is used for the table,
the table is created using that storage engine's
default row format. The information reported in this column
in response to SHOW TABLE
STATUS is the actual row format used. This may
differ from the value in the
Create_options column because the
original CREATE TABLE
definition is retained during creation.
UNION is used when you want to
access a collection of identical MyISAM
tables as one. This works only with MERGE
tables. See Section 13.8, “The MERGE Storage Engine”.
You must have SELECT,
UPDATE, and
DELETE privileges for the
tables you map to a MERGE table.
Formerly, all tables used had to be in the same database as
the MERGE table itself. This restriction
no longer applies.
partition_options can be used to
control partitioning of the table created with
CREATE TABLE.
Not all options shown in the syntax for
partition_options at the beginning of
this section are available for all partitioning types. Please
see the listings for the following individual types for
information specific to each type, and see
Chapter 18, Partitioning, for more complete information
about the workings of and uses for partitioning in MySQL, as
well as additional examples of table creation and other
statements relating to MySQL partitioning.
If used, a partition_options clause
begins with PARTITION BY. This clause contains
the function that is used to determine the partition; the function
returns an integer value ranging from 1 to
num, where
num is the number of partitions. (The
maximum number of user-defined partitions which a table may
contain is 1024; the number of subpartitions — discussed
later in this section — is included in this maximum.) The
choices that are available for this function in MySQL
5.1 are shown in the following list:
HASH(:
Hashes one or more columns to create a key for placing and
locating rows. expr)expr is an
expression using one or more table columns. This can be any
legal MySQL expression (including MySQL functions) that yields
a single integer value. For example, these are all valid
CREATE TABLE statements using
PARTITION BY HASH:
CREATE TABLE t1 (col1 INT, col2 CHAR(5))
PARTITION BY HASH(col1);
CREATE TABLE t1 (col1 INT, col2 CHAR(5))
PARTITION BY HASH( ORD(col2) );
CREATE TABLE t1 (col1 INT, col2 CHAR(5), col3 DATETIME)
PARTITION BY HASH ( YEAR(col3) );
You may not use either VALUES LESS THAN or
VALUES IN clauses with PARTITION
BY HASH.
PARTITION BY HASH uses the remainder of
expr divided by the number of
partitions (that is, the modulus). For examples and additional
information, see Section 18.2.3, “HASH Partitioning”.
The LINEAR keyword entails a somewhat
different algorithm. In this case, the number of the partition
in which a row is stored is calculated as the result of one or
more logical AND operations. For
discussion and examples of linear hashing, see
Section 18.2.3.1, “LINEAR HASH Partitioning”.
KEY(:
This is similar to column_list)HASH, except that MySQL
supplies the hashing function so as to guarantee an even data
distribution. The column_list
argument is simply a list of table columns. This example shows
a simple table partitioned by key, with 4 partitions:
CREATE TABLE tk (col1 INT, col2 CHAR(5), col3 DATE)
PARTITION BY KEY(col3)
PARTITIONS 4;
For tables that are partitioned by key, you can employ linear
partitioning by using the LINEAR keyword.
This has the same effect as with tables that are partitioned
by HASH. That is, the partition number is
found using the
&
operator rather than the modulus (see
Section 18.2.3.1, “LINEAR HASH Partitioning”, and
Section 18.2.4, “KEY Partitioning”, for details). This example
uses linear partitioning by key to distribute data between 5
partitions:
CREATE TABLE tk (col1 INT, col2 CHAR(5), col3 DATE)
PARTITION BY LINEAR KEY(col3)
PARTITIONS 5;
You may not use either VALUES LESS THAN or
VALUES IN clauses with PARTITION
BY KEY.
RANGE: In this case,
expr shows a range of values using
a set of VALUES LESS THAN operators. When
using range partitioning, you must define at least one
partition using VALUES LESS THAN. You
cannot use VALUES IN with range
partitioning.
VALUES LESS THAN can be used with either a
literal value or an expression that evaluates to a single
value.
Suppose that you have a table that you wish to partition on a column containing year values, according to the following scheme.
| Partition Number: | Years Range: |
| 0 | 1990 and earlier |
| 1 | 1991 – 1994 |
| 2 | 1995 – 1998 |
| 3 | 1999 – 2002 |
| 4 | 2003 – 2005 |
| 5 | 2006 and later |
A table implementing such a partitioning scheme can be
realized by the CREATE TABLE
statement shown here:
CREATE TABLE t1 (
year_col INT,
some_data INT
)
PARTITION BY RANGE (year_col) (
PARTITION p0 VALUES LESS THAN (1991),
PARTITION p1 VALUES LESS THAN (1995),
PARTITION p2 VALUES LESS THAN (1999),
PARTITION p3 VALUES LESS THAN (2002),
PARTITION p4 VALUES LESS THAN (2006),
PARTITION p5 VALUES LESS THAN MAXVALUE
);
PARTITION ... VALUES LESS THAN ...
statements work in a consecutive fashion. VALUES LESS
THAN MAXVALUE works to specify
“leftover” values that are greater than the
maximum value otherwise specified.
Note that VALUES LESS THAN clauses work
sequentially in a manner similar to that of the
case portions of a switch ...
case block (as found in many programming languages
such as C, Java, and PHP). That is, the clauses must be
arranged in such a way that the upper limit specified in each
successive VALUES LESS THAN is greater than
that of the previous one, with the one referencing
MAXVALUE coming last of all in the list.
LIST(: This
is useful when assigning partitions based on a table column
with a restricted set of possible values, such as a state or
country code. In such a case, all rows pertaining to a certain
state or country can be assigned to a single partition, or a
partition can be reserved for a certain set of states or
countries. It is similar to expr)RANGE, except
that only VALUES IN may be used to specify
allowable values for each partition.
VALUES IN is used with a list of values to
be matched. For instance, you could create a partitioning
scheme such as the following:
CREATE TABLE client_firms (
id INT,
name VARCHAR(35)
)
PARTITION BY LIST (id) (
PARTITION r0 VALUES IN (1, 5, 9, 13, 17, 21),
PARTITION r1 VALUES IN (2, 6, 10, 14, 18, 22),
PARTITION r2 VALUES IN (3, 7, 11, 15, 19, 23),
PARTITION r3 VALUES IN (4, 8, 12, 16, 20, 24)
);
When using list partitioning, you must define at least one
partition using VALUES IN. You cannot use
VALUES LESS THAN with PARTITION BY
LIST.
Currently, the value list used with VALUES
IN must consist of integer values only.
The number of partitions may optionally be specified with a
PARTITIONS
clause, where numnum is the number of
partitions. If both this clause and any
PARTITION clauses are used,
num must be equal to the total
number of any partitions that are declared using
PARTITION clauses.
Whether or not you use a PARTITIONS
clause in creating a table that is partitioned by
RANGE or LIST, you
must still include at least one PARTITION
VALUES clause in the table definition (see below).
A partition may optionally be divided into a number of
subpartitions. This can be indicated by using the optional
SUBPARTITION BY clause. Subpartitioning may
be done by HASH or KEY.
Either of these may be LINEAR. These work
in the same way as previously described for the equivalent
partitioning types. (It is not possible to subpartition by
LIST or RANGE.)
The number of subpartitions can be indicated using the
SUBPARTITIONS keyword followed by an
integer value.
MySQL 5.1.12 introduces rigorous checking of the value used in
a PARTITIONS or
SUBPARTITIONS clause. Beginning with this
version, this value must adhere to the following rules:
The value must be a positive, nonzero integer.
No leading zeroes are permitted.
The value must be an integer literal, and cannot not be an
expression. For example, PARTITIONS
0.2E+01 is not allowed, even though
0.2E+01 evaluates to
2. (Bug#15890)
The expression (expr) used in a
PARTITION BY clause cannot refer to any
columns not in the table being created; beginning with MySQL
5.1.23, such references are specifically disallowed and cause
the statement to fail with an error. (Bug#29444)
Each partition may be individually defined using a
partition_definition clause. The
individual parts making up this clause are as follows:
PARTITION
: This
specifies a logical name for the partition.
partition_name
A VALUES clause: For range partitioning,
each partition must include a VALUES LESS
THAN clause; for list partitioning, you must specify
a VALUES IN clause for each partition. This
is used to determine which rows are to be stored in this
partition. See the discussions of partitioning types in
Chapter 18, Partitioning, for syntax examples.
An optional COMMENT clause may be used to
specify a string that describes the partition. Example:
COMMENT = 'Data for the years previous to 1999'
DATA DIRECTORY and INDEX
DIRECTORY may be used to indicate the directory
where, respectively, the data and indexes for this partition
are to be stored. Both the
and
the data_dir
must be absolute system path names. Example:
index_dir
CREATE TABLE th (id INT, name VARCHAR(30), adate DATE)
PARTITION BY LIST(YEAR(adate))
(
PARTITION p1999 VALUES IN (1995, 1999, 2003)
DATA DIRECTORY = '/var/appdata/95/data'
INDEX DIRECTORY = '/var/appdata/95/idx',
PARTITION p2000 VALUES IN (1996, 2000, 2004)
DATA DIRECTORY = '/var/appdata/96/data'
INDEX DIRECTORY = '/var/appdata/96/idx',
PARTITION p2001 VALUES IN (1997, 2001, 2005)
DATA DIRECTORY = '/var/appdata/97/data'
INDEX DIRECTORY = '/var/appdata/97/idx',
PARTITION p2000 VALUES IN (1998, 2002, 2006)
DATA DIRECTORY = '/var/appdata/98/data'
INDEX DIRECTORY = '/var/appdata/98/idx'
);
DATA DIRECTORY and INDEX
DIRECTORY behave in the same way as in the
CREATE TABLE statement's
table_option clause as used for
MyISAM tables.
One data directory and one index directory may be specified per partition. If left unspecified, the data and indexes are stored by default in the table's database directory.
On Windows, the DATA DIRECTORY and
INDEX DIRECTORY options are not supported
for individual partitions or subpartitions. Beginning with
MySQL 5.1.24, these options are ignored on Windows, except
that a warning is generated. (Bug#30459)
Prior to MySQL 5.1.18, DATA DIRECTORY and
INDEX DIRECTORY were allowed even if the
NO_DIR_IN_CREATE server
SQL mode was in effect at the time that a partitioned table
was created. Beginning with MySQL 5.1.18, these options are
ignored for creating partitioned tables if
NO_DIR_IN_CREATE is in
effect. (Bug#24633)
MAX_ROWS and MIN_ROWS
may be used to specify, respectively, the maximum and minimum
number of rows to be stored in the partition. The values for
max_number_of_rows and
min_number_of_rows must be positive
integers. As with the table-level options with the same names,
these act only as “suggestions” to the server and
are not hard limits.
The optional TABLESPACE clause may be used
to designate a tablespace for the partition. Used for MySQL
Cluster only.
The partitioning handler accepts a [STORAGE]
ENGINE option for both PARTITION
and SUBPARTITION. Currently, the only way
in which this can be used is to set all partitions or all
subpartitions to the same storage engine, and an attempt to
set different storage engines for partitions or subpartitions
in the same table will give rise to the error ERROR
1469 (HY000): The mix of handlers in the partitions is not
allowed in this version of MySQL. We expect to
lift this restriction on partitioning in a future MySQL
release.
The NODEGROUP option can be used to make
this partition act as part of the node group identified by
node_group_id. This option is
applicable only to MySQL Cluster.
The partition definition may optionally contain one or more
subpartition_definition clauses.
Each of these consists at a minimum of the
SUBPARTITION
, where
namename is an identifier for the
subpartition. Except for the replacement of the
PARTITION keyword with
SUBPARTITION, the syntax for a subpartition
definition is identical to that for a partition definition.
Subpartitioning must be done by HASH or
KEY, and can be done only on
RANGE or LIST
partitions. See Section 18.2.5, “Subpartitioning”.
Partitions can be modified, merged, added to tables, and dropped
from tables. For basic information about the MySQL statements to
accomplish these tasks, see Section 12.1.7, “ALTER TABLE Syntax”. For
more detailed descriptions and examples, see
Section 18.3, “Partition Management”.
The original CREATE TABLE
statement, including all specifications and table options are
stored by MySQL when the table is created. The information is
retained so that if you change storage engines, collations or
other settings using an ALTER
TABLE statement, the original table options specified
are retained. This allows you to change between
InnoDB and MyISAM table
types even though the row formats supported by the two engines
are different.
Because the text of the original statement is retained, but due
to the way that certain values and options may be silently
reconfigured (such as the ROW_FORMAT), the
active table definition (accessible through
DESCRIBE or with
SHOW TABLE STATUS) and the table
creation string (accessible through SHOW
CREATE TABLE) will report different values.
You can create one table from another by adding a
SELECT statement at the end of the
CREATE TABLE statement:
CREATE TABLEnew_tblSELECT * FROMorig_tbl;
MySQL creates new columns for all elements in the
SELECT. For example:
mysql>CREATE TABLE test (a INT NOT NULL AUTO_INCREMENT,->PRIMARY KEY (a), KEY(b))->ENGINE=MyISAM SELECT b,c FROM test2;
This creates a MyISAM table with three columns,
a, b, and
c. Notice that the columns from the
SELECT statement are appended to
the right side of the table, not overlapped onto it. Take the
following example:
mysql>SELECT * FROM foo;+---+ | n | +---+ | 1 | +---+ mysql>CREATE TABLE bar (m INT) SELECT n FROM foo;Query OK, 1 row affected (0.02 sec) Records: 1 Duplicates: 0 Warnings: 0 mysql>SELECT * FROM bar;+------+---+ | m | n | +------+---+ | NULL | 1 | +------+---+ 1 row in set (0.00 sec)
For each row in table foo, a row is inserted in
bar with the values from foo
and default values for the new columns.
In a table resulting from
CREATE TABLE ...
SELECT, columns named only in the
CREATE TABLE part come first.
Columns named in both parts or only in the
SELECT part come after that. The
data type of SELECT columns can be
overridden by also specifying the column in the
CREATE TABLE part.
If any errors occur while copying the data to the table, it is automatically dropped and not created.
CREATE TABLE ...
SELECT does not automatically create any indexes for
you. This is done intentionally to make the statement as flexible
as possible. If you want to have indexes in the created table, you
should specify these before the
SELECT statement:
mysql> CREATE TABLE bar (UNIQUE (n)) SELECT n FROM foo;
Some conversion of data types might occur. For example, the
AUTO_INCREMENT attribute is not preserved, and
VARCHAR columns can become
CHAR columns. Retrained attributes
are NULL (or NOT NULL) and,
for those columns that have them, CHARACTER
SET, COLLATION,
COMMENT, and the DEFAULT
clause.
When creating a table with CREATE ... SELECT,
make sure to alias any function calls or expressions in the query.
If you do not, the CREATE statement might fail
or result in undesirable column names.
CREATE TABLE artists_and_works SELECT artist.name, COUNT(work.artist_id) AS number_of_works FROM artist LEFT JOIN work ON artist.id = work.artist_id GROUP BY artist.id;
You can also explicitly specify the data type for a generated column:
CREATE TABLE foo (a TINYINT NOT NULL) SELECT b+1 AS a FROM bar;
For CREATE TABLE ...
SELECT, if IF NOT EXISTS is given and
the table already exists, MySQL handles the statement as follows:
The table definition given in the CREATE
TABLE part is ignored. No error occurs, even if the
definition does not match that of the existing table.
If there is a mismatch between the number of columns in the
table and the number of columns produced by the
SELECT part, the selected
values are assigned to the rightmost columns. For example, if
the table contains n columns and
the SELECT produces
m columns, where
m <
n, the selected values are assigned
to the m rightmost columns in the
table. Each of the initial n
– m columns is assigned its
default value, either that specified explicitly in the column
definition or the implicit column data type default if the
definition contains no default. If the
SELECT part produces too many
columns (m >
n), an error occurs.
If strict SQL mode is enabled and any of these initial columns do not have an explicit default value, the statement fails with an error.
The following example illustrates IF NOT EXISTS
handling:
mysql>CREATE TABLE t1 (i1 INT DEFAULT 0, i2 INT, i3 INT, i4 INT);Query OK, 0 rows affected (0.05 sec) mysql>CREATE TABLE IF NOT EXISTS t1 (c1 CHAR(10)) SELECT 1, 2;Query OK, 1 row affected, 1 warning (0.01 sec) Records: 1 Duplicates: 0 Warnings: 0 mysql>SELECT * FROM t1;+------+------+------+------+ | i1 | i2 | i3 | i4 | +------+------+------+------+ | 0 | NULL | 1 | 2 | +------+------+------+------+ 1 row in set (0.00 sec)
Use LIKE to create an empty table based on the
definition of another table, including any column attributes and
indexes defined in the original table:
CREATE TABLEnew_tblLIKEorig_tbl;
The copy is created using the same version of the table storage
format as the original table. The
SELECT privilege is required on the
original table.
LIKE works only for base tables, not for views.
CREATE TABLE ... LIKE does not preserve any
DATA DIRECTORY or INDEX
DIRECTORY table options that were specified for the
original table, or any foreign key definitions.
If the original table is a TEMPORARY table,
CREATE TABLE ... LIKE does not preserve
TEMPORARY. To create a
TEMPORARY destination table, use
CREATE TEMPORARY TABLE ... LIKE.
You can precede the SELECT by
IGNORE or
REPLACE to indicate how to handle
rows that duplicate unique key values. With
IGNORE, new rows that duplicate an existing row
on a unique key value are discarded. With
REPLACE, new rows replace rows that
have the same unique key value. If neither
IGNORE nor
REPLACE is specified, duplicate
unique key values result in an error.
To ensure that the binary log can be used to re-create the
original tables, MySQL does not allow concurrent inserts during
CREATE TABLE ...
SELECT.

User Comments
For 3.23.58 using InnoDB, I discovered that if you have a unique index key with multiple optional columns, then it does not apply a unique constraint at all if ANY of your data values for the columns are null. Thus, it will duplicate any data that has any nulls in any of the key columns.
If none of your column values are null, then it applies the unique constraint.
This was unexpected, because I remember Oracle applying the unique constraint on the remaining non-null values. It would be nice if MySQL could do this as well so we can guarantee that a unique key will not permit duplicates.
just found a possibility to wotrk around the limitations of not reopening temp tables (works in 4.1.10 , but wouldnt bet on its future);
create temporary table tmp1 (...);
create temporary table tmp2 (...) enginme merge union (tmp1);
# this will only work is the merge table is temporary itself
add as many mrg tables as you need, use the merge tables instead of reopening the tmp (its still the same table :-) )
they are all temporary, so no clean up
If you want to the flexibility to drop or modify a foreign key (and, to change properties, you must drop & re-add the new version), you must create the foreign key with an otherwise optional 'symbol' name. You can verify this at the 'alter table syntax' page.
I just found a work around for the limitation of not reopening temp tables (works in 4.1.10 , but wouldn't bet on it in the future);
create temporary table tmp1 (...);
create temporary table tmp2 (...) engine merge union (tmp1);
this will only work if the merge table is temporary itself
add as many merge tables as you need, use the merge tables instead of reopening the tmp (it's still the same table :-) )
they are all temporary, so no clean up necessary
Create table with constraints. If you happen to run into "can't create table errno 121" with Error Code 1005, most likely your foreign key name is used by another table's foreign key.
CREATE TABLE IF NOT EXISTS `schema`.`Employee` (
`idEmployee` VARCHAR(45) NOT NULL ,
`Name` VARCHAR(255) NULL ,
`idAddresses` VARCHAR(45) NULL ,
PRIMARY KEY (`idEmployee`) ,
CONSTRAINT `fkEmployee_Addresses`
FOREIGN KEY `fkEmployee_Addresses` (`idAddresses`)
REFERENCES `schema`.`Addresses` (`idAddresses`)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB
DEFAULT CHARACTER SET = utf8
COLLATE = utf8_bin
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