5.4. TABLE
As a relational DBMS, Firebird stores data in tables. A table is a flat, two-dimensional structure containing any number of rows. Table rows are often called records.
All rows in a table have the same structure and consist of columns. Table columns are often called fields. A table must have at least one column. Each column contains a single type of SQL data.
This section describes how to create, alter and delete tables in a database.
5.4.1. CREATE TABLE
Used forcreating a new table (relation)
Available inDSQL, ESQL
Syntax
|
CREATE [GLOBAL TEMPORARY] TABLE tablename
| [EXTERNAL [FILE] 'filespec']
| (<col_def> [, {<col_def> | <tconstraint>} ...])
| [ON COMMIT {DELETE | PRESERVE} ROWS]
|
|<col_def> ::= <regular_col_def> | <computed_col_def>
|
|<regular_col_def> ::=
| colname {<datatype> | domainname}
| [DEFAULT {<literal> | NULL | <context_var>}]
| [NOT NULL]
| [<col_constraint>]
| [COLLATE collation_name]
|
|<computed_col_def> ::=
| colname [<datatype>]
| {COMPUTED [BY] | GENERATED ALWAYS AS} (<expression>)
|
|<datatype> ::=
| {SMALLINT | INTEGER | BIGINT} [<array_dim>]
| | {FLOAT | DOUBLE PRECISION} [<array_dim>]
| | {DATE | TIME | TIMESTAMP} [<array_dim>]
| | {DECIMAL | NUMERIC} [(precision [, scale])] [<array_dim>]
| | {CHAR | CHARACTER} [VARYING] | VARCHAR} [(size)]
| [<array_dim>] [CHARACTER SET charset_name]
| | {NCHAR | NATIONAL {CHARACTER | CHAR}} [VARYING]
| [(size)] [<array_dim>]
| | BLOB [SUB_TYPE {subtype_num | subtype_name}]
| [SEGMENT SIZE seglen] [CHARACTER SET charset_name]
| | BLOB [(seglen [, subtype_num])]
|
|<array_dim> ::= '[' [m:]n [, [m:]n ...] ']'
|
|<col_constraint> ::=
| [CONSTRAINT constr_name]
| { PRIMARY KEY [<using_index>]
| | UNIQUE [<using_index>]
| | REFERENCES other_table [(colname)] [<using_index>]
| [ON DELETE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| [ON UPDATE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| | CHECK (<check_condition>) }
|
|<tconstraint> ::=
| [CONSTRAINT constr_name]
| { PRIMARY KEY (<col_list>) [<using_index>]
| | UNIQUE (<col_list>) [<using_index>]
| | FOREIGN KEY (<col_list>)
| REFERENCES other_table [(<col_list>)] [<using_index>]
| [ON DELETE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| [ON UPDATE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| | CHECK (<check_condition>) }"
|
|<col_list> ::= colname [, colname ...]
|
|<using_index> ::= USING
| [ASC[ENDING] | DESC[ENDING]] INDEX indexname
|
|<check_condition> ::=
| <val> <operator> <val>
| | <val> [NOT] BETWEEN <val> AND <val>
| | <val> [NOT] IN (<val> [, <val> ...] | <select_list>)
| | <val> IS [NOT] NULL
| | <val> IS [NOT] DISTINCT FROM <val>
| | <val> [NOT] CONTAINING <val>
| | <val> [NOT] STARTING [WITH] <val>
| | <val> [NOT] LIKE <val> [ESCAPE <val>]
| | <val> [NOT] SIMILAR TO <val> [ESCAPE <val>]
| | <val> <operator> {ALL | SOME | ANY} (<select_list>)
| | [NOT] EXISTS (<select_expr>)
| | [NOT] SINGULAR (<select_expr>)
| | (<check_condition>)
| | NOT <check_condition>
| | <check_condition> OR <check_condition>
| | <check_condition> AND <check_condition>
|
|<operator> ::=
| <> | != | ^= | ~= | = | < | > | <= | >=
| | !< | ^< | ~< | !> | ^> | ~>
|
|<val> ::=
| colname ['['array_idx [, array_idx ...]']']
| | <literal>
| | <context_var>
| | <expression>
| | NULL
| | NEXT VALUE FOR genname
| | GEN_ID(genname, <val>)
| | CAST(<val> AS <datatype>)
| | (<select_one>)
| | func([<val> [, <val> ...]])
CREATE TABLE
Statement ParametersParameter | Description |
---|---|
tablename | Name (identifier) for the table. It may consist of up to 31 characters and must be unique in the database. |
filespec | File specification (only for external tables). Full file name and path, enclosed in single quotes, correct for the local file system and located on a storage device that is physically connected to Firebird’s host computer. |
colname | Name (identifier) for a column in the table. May consist of up to 31 characters and must be unique in the table. |
datatype | SQL data type |
col_constraint | Column constraint |
tconstraint | Table constraint |
constr_name | The name (identifier) of a constraint. May consist of up to 31 characters. |
other_table | The name of the table referenced by the foreign key constraint |
other_col | The name of the column in other_table that is referenced by the foreign key |
literal | A literal value that is allowed in the given context |
context_var | Any context variable whose data type is allowed in the given context |
check_condition | The condition applied to a CHECK constraint, that will resolve as either true, false or |
collation | Collation |
array_dim | Array dimensions |
m, n | Integer numbers defining the index range of an array dimension |
precision | The total number of significant digits that a value of the datatype can hold (1..18) |
scale | The number of digits after the decimal point (0..precision) |
size | The maximum size of a string in characters |
charset_name | The name of a valid character set, if the character set of the column is to be different to the default character set of the database |
subtype_num |
|
subtype_name |
|
seglen | Segment size (max. 65535) |
select_one | A scalar |
select_list | A |
select_expr | A |
expression | An expression resolving to a value that is is allowed in the given context |
genname | Sequence (generator) name |
func | Internal function or UDF |
The CREATE TABLE
statement creates a new table.
Any user can create it and its name must be unique among the names of all tables, views and stored procedures in the database.
A table must contain at least one column that is not computed and the names of columns must be unique in the table.
A column must have either an explicit SQL data type, the name of a domain whose attributes will be copied for the column, or be defined as COMPUTED BY
an expression (a calculated field).
A table may have any number of table constraints, including none.
5.4.1.1. Making a Column Non-nullable
In Firebird, columns are nullable by default.
The optional NOT NULL
clause specifies that the column cannot take NULL
in place of a value.
5.4.1.2. Character Columns
You can use the CHARACTER SET
clause to specify the character set for the CHAR
, VARCHAR
and BLOB
(text subtype) types.
If the character set is not specified, the character set specified during the creation of the database will be used by default.
If no character set was specified during the creation of the database, the NONE
character set is applied by default.
In this case, data is stored and retrieved the way it was submitted.
Data in any encoding can be added to such a column, but it is not possible to add this data to a column with a different encoding.
No transliteration is performed between the source and destination encodings, which may result in errors.
The optional COLLATE
clause allows you to specify the collation sequence for character data types, including BLOB SUB_TYPE TEXT
.
If no collation sequence is specified, the collation sequence that is default for the specified character set during the creation of the column is applied by default.
5.4.1.3. Setting a DEFAULT
Value
The optional DEFAULT
clause allows you to specify the default value for the table column.
This value will be added to the column when an INSERT
statement is executed if no value was specified for it and that column was omitted from the INSERT
command.
The default value can be a literal of a compatible type, a context variable that is type-compatible with the data type of the column, or NULL
, if the column allows it.
If no default value is explicitly specified, NULL
is implied.
An expression cannot be used as a default value.
5.4.1.4. Domain-based Columns
To define a column, you can use a previously defined domain.
If the definition of a column is based on a domain, it may contain a new default value, additional CHECK
constraints and a COLLATE
clause that will override the values specified in the domain definition.
The definition of such a column may contain additional column constraints (for instance, NOT NULL
), if the domain does not have it.
It is not possible to define a domain-based column that is nullable if the domain was defined with the NOT NULL
attribute.
If you want to have a domain that might be used for defining both nullable and non-nullable columns and variables, it is better practice to make the domain nullable and apply NOT NULL
in the downstream column definitions and variable declarations.
5.4.1.5. Calculated Fields
Calculated fields can be defined with the COMPUTED [BY]
or GENERATED ALWAYS AS
clause (according to the SQL:2003 standard).
They mean the same.
Describing the data type is not required (but possible) for calculated fields, as the DBMS calculates and stores the appropriate type as a result of the expression analysis.
Appropriate operations for the data types included in an expression must be specified precisely.
If the data type is explicitly specified for a calculated field, the calculation result is converted to the specified type. This means, for instance, that the result of a numeric expression could be rendered as a string.
In a query that selects a COMPUTED BY
column, the expression is evaluated for each row of the selected data.
Instead of a computed column, in some cases it makes sense to use a regular column whose value is evaluated in triggers for adding and updating data. It may reduce the performance of inserting/updating records, but it will increase the performance of data selection.
5.4.1.6. Defining an ARRAY
Column
If the column is to be an array, the base type can be any SQL data type except
BLOB
andARRAY
.The dimensions of the array are specified between square brackets. (In the Syntax block these brackets appear in quotes to distinguish them from the square brackets that identify optional syntax elements.)
For each array dimension, one or two integer numbers define the lower and upper boundaries of its index range:
By default, arrays are 1-based. The lower boundary is implicit and only the upper boundary need be specified. A single number smaller than 1 defines the range num..1 and a number greater than 1 defines the range 1..num.
Two numbers separated by a colon (
) and optional whitespace, the second greater than the first, can be used to define the range explicitly. One or both boundaries can be less than zero, as long as the upper boundary is greater than the lower.:
When the array has multiple dimensions, the range definitions for each dimension must be separated by commas and optional whitespace.
Subscripts are validated only if an array actually exists. It means that no error messages regarding invalid subscripts will be returned if selecting a specific element returns nothing or if an array field is
NULL
.
5.4.1.7. Constraints
Four types of constraints can be specified. They are:
Primary key (
PRIMARY KEY
)Unique key (
UNIQUE
)Foreign key (
REFERENCES
)CHECK
constraint (CHECK
)
Constraints can be specified at column level (column constraints
) or at table level (table constraints
).
Table-level constraints are needed when keys (uniqueness constraint, Primary Key, Foreign Key) are to be formed across multiple columns and when a CHECK
constraint involves other columns in the row besides the column being defined.
Syntax for some types of constraint may differ slightly according to whether the constraint is being defined at column or table level.
A column-level constraint is specified during a column definition, after all column attributes except
COLLATION
are specified, and can involve only the column specified in that definitionTable-level constraints are specified after all of the column definitions. They are a more flexible way to set constraints, since they can cater for constraints involving multiple columns
You can mix column-level and table-level constraints in the same
CREATE TABLE
statement
The system automatically creates the corresponding index for a primary key (PRIMARY KEY
), a unique key (UNIQUE
) and a foreign key (REFERENCES
for a column-level constraint, FOREIGN KEY REFERENCES
for one at the table level).
5.4.1.7.1. Names for Constraints and Their Indexes
Column-level constraints and their indexes are named automatically:
The constraint name has the form
INTEG_n
, where n represents one or more digitsThe index name has the form
RDB$PRIMARYn
(for a primary key index),RDB$FOREIGNn
(for a foreign key index) orRDB$n
(for a unique key index). Again, n represents one or more digits.
Automatic naming of table-level constraints and their indexes follows the same pattern, unless the names are supplied explicitly.
5.4.1.7.1.1. Named Constraints
A constraint can be named explicitly if the CONSTRAINT
clause is used for its definition.
While the CONSTRAINT
clause is optional for defining column-level constraints, it is mandatory for table-level.
By default, the constraint index will have the same name as the constraint.
If a different name is wanted for the constraint index, a USING
clause can be included.
5.4.1.7.1.2. The USING
Clause
The USING
clause allows you to specify a user-defined name for the index that is created automatically and, optionally, to define the direction of the index — either ascending (the default) or descending.
5.4.1.7.2. PRIMARY KEY
The PRIMARY KEY
constraint is built on one or more key columns, each column having the NOT NULL
constraint specified for it.
The values across the key columns in any row must be unique.
A table can have only one primary key.
A single-column Primary Key can be defined as a column level or a table-level constraint
A multi-column Primary Key must be specified as a table-level constraint
5.4.1.7.3. The UNIQUE
Constraint
The UNIQUE
constraint defines the requirement of content uniqueness for the values in a key throughout the table.
A table can contain any number of unique key constraints.
As with the Primary Key, the Unique constraint can be multi-column. If so, it must be specified as a table-level constraint.
5.4.1.7.3.1. NULL
in Unique Keys
Firebird’s SQL-99-compliant rules for UNIQUE
constraints allow one or more NULL
s in a column with a UNIQUE
constraint.
That makes it possible to define a UNIQUE
constraint on a column that does not have the NOT NULL
constraint.
For UNIQUE
keys that span multiple columns, the logic is a little complicated:
Multiple rows having null in all the columns of the key are allowed
Multiple rows having keys with different combinations of nulls and non-null values are allowed
Multiple rows having the same key columns null and the rest filled with non-null values are allowed, provided the values differ in at least one column
Multiple rows having the same key columns null and the rest filled with non-null values that are the same in every column will violate the constraint
The rules for uniqueness can be summarised thus:
In principle, all nulls are considered distinct. However, if two rows have exactly the same key columns filled with non-null values, the
NULL
columns are ignored and the uniqueness is determined on the non-null columns as though they constituted the entire key.
Illustration
|
RECREATE TABLE t( x int, y int, z int, unique(x,y,z));
|INSERT INTO t values( NULL, 1, 1 );
|INSERT INTO t values( NULL, NULL, 1 );
|INSERT INTO t values( NULL, NULL, NULL );
|INSERT INTO t values( NULL, NULL, NULL ); -- Permitted
|INSERT INTO t values( NULL, NULL, 1 ); -- Not permitted
5.4.1.7.4. FOREIGN KEY
A Foreign Key ensures that the participating column(s) can contain only values that also exist in the referenced column(s) in the master table.
These referenced columns are often called target columns.
They must be the primary key or a unique key in the target table.
They need not have a NOT NULL
constraint defined on them although, if they are the primary key, they will, of course, have that constraint.
The foreign key columns in the referencing table itself do not require a NOT NULL
constraint.
A single-column Foreign Key can be defined in the column declaration, using the keyword REFERENCES
:
|... ,
|ARTIFACT_ID INTEGER REFERENCES COLLECTION (ARTIFACT_ID),
The column ARTIFACT_ID
in the example references a column of the same name in the table COLLECTIONS
.
Both single-column and multi-column foreign keys can be defined at the table level. For a multi-column Foreign Key, the table-level declaration is the only option. This method also enables the provision of an optional name for the constraint:
|...
|CONSTRAINT FK_ARTSOURCE FOREIGN KEY(DEALER_ID, COUNTRY)
|REFERENCES DEALER (DEALER_ID, COUNTRY),
Notice that the column names in the referenced (master
) table may differ from those in the Foreign Key.
If no target columns are specified, the Foreign Key automatically references the target table’s Primary Key.
5.4.1.7.4.1. Foreign Key Actions
With the sub-clauses ON UPDATE
and ON DELETE
it is possible to specify an action to be taken on the affected foreign key column(s) when referenced values in the master table are changed:
NO ACTION
(the default) - Nothing is done
CASCADE
The change in the master table is propagated to the corresponding row(s) in the child table. If a key value changes, the corresponding key in the child records changes to the new value; if the master row is deleted, the child records are deleted.
SET DEFAULT
The Foreign Key columns in the affected rows will be set to their default values as they were when the foreign key constraint was defined.
SET NULL
The Foreign Key columns in the affected rows will be set to
NULL
.
The specified action, or the default NO ACTION
, could cause a Foreign Key column to become invalid.
For example, it could get a value that is not present in the master table, or it could become NULL
while the column has a NOT NULL
constraint.
Such conditions will cause the operation on the master table to fail with an error message.
Example
|
...
| CONSTRAINT FK_ORDERS_CUST
| FOREIGN KEY (CUSTOMER) REFERENCES CUSTOMERS (ID)
| ON UPDATE CASCADE ON DELETE SET NULL
5.4.1.7.5. CHECK
Constraint
The CHECK
constraint defines the condition the values inserted in this column must satisfy.
A condition is a logical expression (also called a predicate) that can return the TRUE, FALSE and UNKNOWN values.
A condition is considered satisfied if the predicate returns TRUE or value UNKNOWN (equivalent to NULL
).
If the predicate returns FALSE, the value will not be accepted.
This condition is used for inserting a new row into the table (the INSERT
statement) and for updating the existing value of the table column (the UPDATE
statement) and also for statements where one of these actions may take place (UPDATE OR INSERT, MERGE).
A CHECK
constraint on a domain-based column does not replace an existing CHECK
condition on the domain, but becomes an addition to it.
The Firebird engine has no way, during definition, to verify that the extra CHECK
does not conflict with the existing one.
CHECK
conditions — whether defined at table level or column level — refer to table columns by their names.
The use of the keyword VALUE
as a placeholder, as in domain CHECK
constraints, is not valid in the context of defining column constraints.
Examplewith two column-level constraints and one at table-level:
|CREATE TABLE PLACES (
|...
|LAT DECIMAL(9, 6) CHECK (ABS(LAT) <= 90),
|LON DECIMAL(9, 6) CHECK (ABS(LON) <= 180),
|...
|CONSTRAINT CHK_POLES CHECK (ABS(LAT) < 90 OR LON = 0)
|);
5.4.1.8. Global Temporary Tables (GTT)
Global temporary tables have persistent metadata, but their contents are transaction-bound (the default) or connection-bound. Every transaction or connection has its own private instance of a GTT, isolated from all the others. Instances are only created if and when the GTT is referenced. They are destroyed when the transaction ends or on disconnection. The metadata of a GTT can be modified or removed using ALTER TABLE and DROP TABLE, respectively.
Syntax
|
CREATE GLOBAL TEMPORARY TABLE tablename
| (<column_def> [, {<column_def> | <table_constraint>} ...])
| [ON COMMIT {DELETE | PRESERVE} ROWS]
ON COMMIT DELETE ROWS
creates a transaction-level GTT (the default),ON COMMIT PRESERVE ROWS
a connection-level GTTAn
EXTERNAL [FILE]
clause is not allowed in the definition of a global temporary table
5.4.1.8.1. Restrictions on GTTs
GTTs can be dressed up
with all the features and paraphernalia of ordinary tables (keys, references, indexes, triggers and so on) but there are a few restrictions:
GTTs and regular tables cannot reference one another
A connection-bound (
) GTT cannot reference a transaction-bound (PRESERVE ROWS
) GTTDELETE ROWS
Domain constraints cannot reference any GTT
The destruction of a GTT instance at the end of its life cycle does not cause any
BEFORE
/AFTER
delete triggers to fire
In an existing database, it is not always easy to distinguish a regular table from a GTT, or a transaction-level GTT from a connection-level GTT. Use this query to find out what type of table you are looking at:
|select t.rdb$type_name
|from rdb$relations r
|join rdb$types t on r.rdb$relation_type = t.rdb$type
|where t.rdb$field_name = 'RDB$RELATION_TYPE'
|and r.rdb$relation_name = 'TABLENAME'
For an overview of the types of all the relations in the database:
|select r.rdb$relation_name, t.rdb$type_name
|from rdb$relations r
|join rdb$types t on r.rdb$relation_type = t.rdb$type
|where t.rdb$field_name = 'RDB$RELATION_TYPE'
|and coalesce (r.rdb$system_flag, 0) = 0
The RDB$TYPE_NAME
field will show PERSISTENT
for a regular table, VIEW
for a view, GLOBAL_TEMPORARY_PRESERVE
for a connection-bound GTT and GLOBAL_TEMPORARY_DELETE
for a transaction_bound GTT.
5.4.1.9. External Tables
The optional EXTERNAL [FILE]
clause specifies that the table is stored outside the database in an external text file of fixed-length records.
The columns of a table stored in an external file can be of any type except BLOB
or ARRAY
, although for most purposes, only columns of CHAR
types would be useful.
All you can do with a table stored in an external file is insert new rows (INSERT
) and query the data (SELECT
).
Updating existing data (UPDATE
) and deleting rows (DELETE
) are not possible.
A file that is defined as an external table must be located on a storage device that is physically present on the machine where the Firebird server runs and, if the parameter ExternalFileAccess in the firebird.conf
configuration file is Restrict
, it must be in one of the directories listed there as the argument for Restrict
.
If the file does not exist yet, Firebird will create it on first access.
The ability to use external files for a table depends on the value set for the ExternalFileAccess parameter in firebird.conf
:
If it is set to
None
(the default), any attempt to access an external file will be denied.The
Restrict
setting is recommended, for restricting external file access to directories created explicitly for the purpose by the server administrator. For example:ExternalFileAccess = Restrict externalfiles
will restrict access to a directory namedexternalfiles
directly beneath the Firebird root directoryExternalFileAccess = d:\databases\outfiles; e:\infiles
will restrict access to just those two directories on the Windows host server. Note that any path that is a network mapping will not work. Paths enclosed in single or double quotes will not work, either.
If this parameter is set to
Full
, external files may be accessed anywhere on the host file system. It creates a security vulnerability and is not recommended.
5.4.1.9.1. External File Format
The row
format of the external table is fixed length.
There are no field delimiters: both field and row boundaries are determined by maximum sizes, in bytes, of the field definitions.
It is important to keep this in mind, both when defining the structure of the external table and when designing an input file for an external table that is to import data from another application.
The ubiquitous .csv
format, for example, is of no use as an input file and cannot be generated directly into an external file.
The most useful data type for the columns of external tables is the fixed-length CHAR
type, of suitable lengths for the data they are to carry.
Date and number types are easily cast to and from strings whereas, unless the files are to be read by another Firebird database, the native data types will appear to external applications as unparseable alphabetti
.
Of course, there are ways to manipulate typed data so as to generate output files from Firebird that can be read directly as input files to other applications, using stored procedures, with or without employing external tables. Such techniques are beyond the scope of a language reference. Here, we provide some guidelines and tips for producing and working with simple text files, since the external table feature is often used as an easy way to produce or read transaction-independent logs that can be studied off-line in a text editor or auditing application.
5.4.1.9.1.1. Row Delimiters
Generally, external files are more useful if rows are separated by a delimiter, in the form of a newline
sequence that is recognised by reader applications on the intended platform.
For most contexts on Windows, it is the two-byte 'CRLF' sequence, carriage return (ASCII code decimal 13) and line feed (ASCII code decimal 10).
On POSIX, LF on its own is usual;
for some MacOSX applications, it may be LFCR.
There are various ways to populate this delimiter column.
In our example below, it is done by using a BEFORE INSERT
trigger and the internal function ASCII_CHAR
.
5.4.1.9.1.2. External Table Example
For our example, we will define an external log table that might be used by an exception handler in a stored procedure or trigger. The external table is chosen because the messages from any handled exceptions will be retained in the log, even if the transaction that launched the process is eventually rolled back because of another, unhandled exception. For demonstration purposes, it has just two data columns, a time stamp and a message. The third column stores the row delimiter:
|CREATE TABLE ext_log
|EXTERNAL FILE 'd:\externals\log_me.txt' (
|stamp CHAR (24),
|message CHAR(100),
|crlf CHAR(2) -- for a Windows context
|);
|COMMIT;
Now, a trigger, to write the timestamp and the row delimiter each time a message is written to the file:
|SET TERM ^;
|CREATE TRIGGER bi_ext_log FOR ext_log
|ACTIVE BEFORE INSERT
|AS
|BEGIN
|IF (new.stamp is NULL) then
|new.stamp = CAST (CURRENT_TIMESTAMP as CHAR(24));
|new.crlf = ASCII_CHAR(13) || ASCII_CHAR(10);
|END ^
|COMMIT ^
|SET TERM ;^
Inserting some records (which could have been done by an exception handler or a fan of Shakespeare):
|insert into ext_log (message)
|values('Shall I compare thee to a summer''s day?');
|insert into ext_log (message)
|values('Thou art more lovely and more temperate');
The output:
|2015-10-07 15:19:03.4110Shall I compare thee to a summer's day?
|2015-10-07 15:19:58.7600Thou art more lovely and more temperate
5.4.1.10. CREATE TABLE
Examples
Creating the
COUNTRY
table with the primary key specified as a column constraint.|
CREATE TABLE COUNTRY (
|COUNTRY COUNTRYNAME NOT NULL PRIMARY KEY,
|CURRENCY VARCHAR(10) NOT NULL
|);
Creating the
STOCK
table with the named primary key specified at the column level and the named unique key specified at the table level.|
CREATE TABLE STOCK (
|MODEL SMALLINT NOT NULL CONSTRAINT PK_STOCK PRIMARY KEY,
|MODELNAME CHAR(10) NOT NULL,
|ITEMID INTEGER NOT NULL,
|CONSTRAINT MOD_UNIQUE UNIQUE (MODELNAME, ITEMID)
|);
Creating the
JOB
table with a primary key constraint spanning two columns, a foreign key constraint for theCOUNTRY
table and a table-levelCHECK
constraint. The table also contains an array of 5 elements.|
CREATE TABLE JOB (
|JOB_CODE JOBCODE NOT NULL,
|JOB_GRADE JOBGRADE NOT NULL,
|JOB_COUNTRY COUNTRYNAME,
|JOB_TITLE VARCHAR(25) NOT NULL,
|MIN_SALARY NUMERIC(18, 2) DEFAULT 0 NOT NULL,
|MAX_SALARY NUMERIC(18, 2) NOT NULL,
|JOB_REQUIREMENT BLOB SUB_TYPE 1,
|LANGUAGE_REQ VARCHAR(15) [1:5],
|PRIMARY KEY (JOB_CODE, JOB_GRADE),
|FOREIGN KEY (JOB_COUNTRY) REFERENCES COUNTRY (COUNTRY)
|ON UPDATE CASCADE
|ON DELETE SET NULL,
|CONSTRAINT CHK_SALARY CHECK (MIN_SALARY < MAX_SALARY)
|);
Creating the
PROJECT
table with primary, foreign and unique key constraints with custom index names specified with theUSING
clause.|
CREATE TABLE PROJECT (
|PROJ_ID PROJNO NOT NULL,
|PROJ_NAME VARCHAR(20) NOT NULL UNIQUE USING DESC INDEX IDX_PROJNAME,
|PROJ_DESC BLOB SUB_TYPE 1,
|TEAM_LEADER EMPNO,
|PRODUCT PRODTYPE,
|CONSTRAINT PK_PROJECT PRIMARY KEY (PROJ_ID) USING INDEX IDX_PROJ_ID,
|FOREIGN KEY (TEAM_LEADER) REFERENCES EMPLOYEE (EMP_NO)
|USING INDEX IDX_LEADER
|);
Creating the
SALARY_HISTORY
table with two computed fields. The first one is declared according to the SQL:2003 standard, while the second one is declared according to the traditional declaration of computed fields in Firebird.|
CREATE TABLE SALARY_HISTORY (
|EMP_NO EMPNO NOT NULL,
|CHANGE_DATE TIMESTAMP DEFAULT 'NOW' NOT NULL,
|UPDATER_ID VARCHAR(20) NOT NULL,
|OLD_SALARY SALARY NOT NULL,
|PERCENT_CHANGE DOUBLE PRECISION DEFAULT 0 NOT NULL,
|SALARY_CHANGE GENERATED ALWAYS AS
|(OLD_SALARY * PERCENT_CHANGE / 100),
|NEW_SALARY COMPUTED BY
|(OLD_SALARY + OLD_SALARY * PERCENT_CHANGE / 100)
|);
Creating a connection-scoped global temporary table.
|
CREATE GLOBAL TEMPORARY TABLE MYCONNGTT (
|ID INTEGER NOT NULL PRIMARY KEY,
|TXT VARCHAR(32),
|TS TIMESTAMP DEFAULT CURRENT_TIMESTAMP)
|ON COMMIT PRESERVE ROWS;
Creating a transaction-scoped global temporary table that uses a foreign key to reference a connection-scoped global temporary table. The
ON COMMIT
sub-clause is optional becauseDELETE ROWS
is the default.|
CREATE GLOBAL TEMPORARY TABLE MYTXGTT (
|ID INTEGER NOT NULL PRIMARY KEY,
|PARENT_ID INTEGER NOT NULL REFERENCES MYCONNGTT(ID),
|TXT VARCHAR(32),
|TS TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|) ON COMMIT DELETE ROWS;
5.4.2. ALTER TABLE
Used foraltering the structure of a table.
Available inDSQL, ESQL
Syntax
|
ALTER TABLE tablename
| <operation> [, <operation> ...]
|
|<operation> ::=
| ADD <col_def>
| | ADD <tconstraint>
| | DROP colname
| | DROP CONSTRAINT constr_name
| | ALTER [COLUMN] colname <col_mod>
|
|<col_def> ::= <regular_col_def> | <computed_col_def>
|
|<regular_col_def> ::=
| colname {<datatype> | domainname}
| [DEFAULT {<literal> | NULL | <context_var>}]
| [NOT NULL]
| [<col_constraint>]
| [COLLATE collation_name]
|
|<computed_col_def> ::=
| colname [<datatype>]
| {COMPUTED [BY] | GENERATED ALWAYS AS} (<expression>)
|
|<col_mod> ::= <regular_col_mod> | <computed_col_mod>
|
|<regular_col_mod> ::=
| TO newname
| | POSITION newpos
| | TYPE {<datatype> | domainname}
| | SET DEFAULT {<literal> | NULL | <context_var>}
| | DROP DEFAULT
|
|<computed_col_mod> ::=
| TO newname
| | POSITION newpos
| | [TYPE <datatype>] {COMPUTED [BY] | GENERATED ALWAYS AS} (<expression>)
|
|<datatype> ::=
| {SMALLINT | INTEGER | BIGINT} [<array_dim>]
| | {FLOAT | DOUBLE PRECISION} [<array_dim>]
| | {DATE | TIME | TIMESTAMP} [<array_dim>]
| | {DECIMAL | NUMERIC} [(precision [, scale])] [<array_dim>]
| | {CHAR | CHARACTER} [VARYING] | VARCHAR} [(size)]
| [<array_dim>] [CHARACTER SET charset_name]
| | {NCHAR | NATIONAL {CHARACTER | CHAR}} [VARYING]
| [(size)] [<array_dim>]
| | BLOB [SUB_TYPE {subtype_num | subtype_name}]
| [SEGMENT SIZE seglen] [CHARACTER SET charset_name]
| | BLOB [(seglen [, subtype_num])]
|
|<array_dim> ::= '[' [m:]n [,[m:]n ...] ']'
|
|<col_constraint> ::=
| [CONSTRAINT constr_name]
| { PRIMARY KEY [<using_index>]
| | UNIQUE [<using_index>]
| | REFERENCES other_table [(colname)] [<using_index>]
| [ON DELETE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| [ON UPDATE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| | CHECK (<check_condition>) }
|
|<tconstraint> ::=
| [CONSTRAINT constr_name]
| { PRIMARY KEY (<col_list>) [<using_index>]
| | UNIQUE (<col_list>) [<using_index>]
| | FOREIGN KEY (<col_list>)
| REFERENCES other_table [(<col_list>)] [<using_index>]
| [ON DELETE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| [ON UPDATE {NO ACTION | CASCADE | SET DEFAULT | SET NULL}]
| | CHECK (<check_condition>) }
|
|<col_list> ::= colname [, colname ...]
|
|<using_index> ::= USING
| [ASC[ENDING] | DESC[ENDING]] INDEX indexname
|
|<check_condition> ::=
| <val> <operator> <val>
| | <val> [NOT] BETWEEN <val> AND <val>
| | <val> [NOT] IN (<val> [, <val> ...] | <select_list>)
| | <val> IS [NOT] NULL
| | <val> IS [NOT] DISTINCT FROM <val>
| | <val> [NOT] CONTAINING <val>
| | <val> [NOT] STARTING [WITH] <val>
| | <val> [NOT] LIKE <val> [ESCAPE <val>]
| | <val> [NOT] SIMILAR TO <val> [ESCAPE <val>]
| | <val> <operator> {ALL | SOME | ANY} (<select_list>)
| | [NOT] EXISTS (<select_expr>)
| | [NOT] SINGULAR (<select_expr>)
| | (<search_condition>)
| | NOT <search_condition>
| | <search_condition> OR <search_condition>
| | <search_condition> AND <search_condition>
|
|<operator> ::=
| <> | != | ^= | ~= | = | < | > | <= | >=
| | !< | ^< | ~< | !> | ^> | ~>
|
|<val> ::=
| colname ['['array_idx [, array_idx ...]']']
| | <literal>
| | <context_var>
| | <expression>
| | NULL
| | NEXT VALUE FOR genname
| | GEN_ID(genname, <val>)
| | CAST(<val> AS <datatype>)
| | (<select_one>)
| | func([<val> [, <val> ...]])
ALTER TABLE
Statement ParametersParameter | Description |
---|---|
tablename | Name (identifier) of the table |
operation | One of the available operations altering the structure of the table |
colname | Name (identifier) for a column in the table, max. 31 characters. Must be unique in the table. |
newname | New name (identifier) for the column, max. 31 characters. Must be unique in the table. |
newpos | The new column position (an integer between 1 and the number of columns in the table) |
col_constraint | Column constraint |
tconstraint | Table constraint |
constr_name | The name (identifier) of a constraint. May consist of up to 31 characters. |
other_table | The name of the table referenced by the foreign key constraint |
literal | A literal value that is allowed in the given context |
context_var | A context variable whose type is allowed in the given context |
check_condition | The condition of a |
collation | Name of a collation sequence that is valid for charset_name, if it is supplied with datatype or, otherwise, is valid for the default character set of the database |
array_dim | Array dimensions |
m, n | Integer numbers defining the index range of an array dimension |
precision | The total number of significant digits that a value of the datatype can hold (1..18) |
scale | The number of digits after the decimal point (0..precision) |
size | The maximum size of a string in characters |
charset_name | The name of a valid character set, if the character set of the column is to be different to the default character set of the database |
subtype_num |
|
subtype_name |
|
seglen | Segment size (max. 65535) |
select_one | A scalar |
select_list | A |
select_expr | A |
expression | An expression resolving to a value that is is allowed in the given context |
genname | Sequence (generator) name |
func | Internal function or UDF |
The ALTER TABLE
statement changes the structure of an existing table.
With one ALTER TABLE
statement it is possible to perform multiple operations, adding/dropping columns and constraints and also altering column specifications.
Multiple operations in an ALTER TABLE
statement are separated with commas.
5.4.2.1. Version Count Increments
Some changes in the structure of a table increment the metadata change counter (version count
) assigned to every table.
The number of metadata changes is limited to 255 for each table.
Once the counter reaches the 255 limit, you will not be able to make any further changes to the structure of the table without resetting the counter.
5.4.2.2. The ADD
Clause
With the ADD
clause you can add a new column or a new table constraint.
The syntax for defining the column and the syntax of defining the table constraint correspond with those described for CREATE TABLE
statement.
Each time a new column is added, the metadata change counter is increased by one
Adding a new table constraint does not increase the metadata change counter
Be careful about adding a new column with the
NOT NULL
constraint set. It may lead to breaking the logical integrity of data, since you will have existing records containingNULL
in a non-nullable column. When adding a non-nullable column, it is recommended either to set a default value for it or to update the column in existing rows with a non-null value.When a new
CHECK
constraint is added, existing data is not tested for compliance. Prior testing of existing data against the newCHECK
expression is recommended.
5.4.2.3. The DROP
Clause
The DROP <column name>
clause deletes the specified column from the table.
An attempt to drop a column will fail if anything references it.
Consider the following items as sources of potential dependencies:
column or table constraints
indexes
stored procedures and triggers
views
Each time a column is dropped, the table’s metadata change counter is increased by one.
5.4.2.4. The DROP CONSTRAINT
Clause
The DROP CONSTRAINT
clause deletes the specified column-level or table-level constraint.
A PRIMARY KEY
or UNIQUE
key constraint cannot be deleted if it is referenced by a FOREIGN KEY
constraint in another table.
It will be necessary to drop that FOREIGN KEY
constraint before attempting to drop the PRIMARY KEY
or UNIQUE
key constraint it references.
Deleting a column constraint or a table constraint does not increase the metadata change counter.
5.4.2.5. The ALTER [COLUMN]
Clause
With the ALTER [COLUMN]
clause, attributes of existing columns can be modified without the need to drop and re-add the column.
Permitted modifications are:
change the name (does not affect the metadata change counter)
change the data type (increases the metadata change counter by one)
change the column position in the column list of the table (does not affect the metadata change counter)
delete the default column value (does not affect the metadata change counter)
set a default column value or change the existing default (does not affect the metadata change counter)
change the type and expression for a computed column (does not affect the metadata change counter)
5.4.2.6. Renaming a Column: the TO
Keyword
The TO keyword with a new identifier renames an existing column. The table must not have an existing column that has the same identifier.
It will not be possible to change the name of a column that is included in any constraint: PRIMARY KEY
, UNIQUE
key, FOREIGN KEY
, column constraint or the CHECK
constraint of the table.
Renaming a column will also be disallowed if the column is used in any trigger, stored procedure or view.
5.4.2.7. Changing the Data Type of a Column: the TYPE
Keyword
The keyword TYPE
changes the data type of an existing column to another, allowable type.
A type change that might result in data loss will be disallowed.
As an example, the number of characters in the new type for a CHAR
or VARCHAR
column cannot be smaller than the existing specification for it.
If the column was declared as an array, no change to its type or its number of dimensions is permitted.
The data type of a column that is involved in a foreign key, primary key or unique constraint cannot be changed at all.
5.4.2.8. Changing the Position of a Column: the POSITION
Keyword
The POSITION keyword changes the position of an existing column in the notional left-to-right
layout of the record.
Numbering of column positions starts at 1.
If a position less than 1 is specified, an error message will be returned
If a position number is greater than the number of columns in the table, its new position will be adjusted silently to match the number of columns.
5.4.2.9. The DROP DEFAULT
and SET DEFAULT
Clauses
The optional DROP DEFAULT
clause deletes the default value for the column if it was put there previously by a CREATE TABLE
or ALTER TABLE
statement.
If the column is based on a domain with a default value, the default value will revert to the domain default
An execution error will be raised if an attempt is made to delete the default value of a column which has no default value or whose default value is domain-based
The optional SET DEFAULT
clause sets a default value for the column.
If the column already has a default value, it will be replaced with the new one.
The default value applied to a column always overrides one inherited from a domain.
5.4.2.10. The COMPUTED [BY]
or GENERATED ALWAYS AS
Clauses
The data type and expression underlying a computed column can be modified using a COMPUTED [BY]
or GENERATED ALWAYS AS
clause in the ALTER TABLE ALTER [COLUMN]
statement.
Converting a regular column to a computed one and vice versa are not permitted.
5.4.2.11. Attributes that Cannot Be Altered
The following alterations are not supported:
Enabling or disabling the
NOT NULL
constraint on a columnChanging the default collation for a character type column
Only the table owner and administrators have the authority to use ALTER TABLE
.
5.4.2.12. Examples Using ALTER TABLE
Adding the
CAPITAL
column to theCOUNTRY
table.|
ALTER TABLE COUNTRY
|ADD CAPITAL VARCHAR(25);
Adding the
CAPITAL
column with theUNIQUE
constraint and deleting theCURRENCY
column.|
ALTER TABLE COUNTRY
|ADD CAPITAL VARCHAR(25) NOT NULL UNIQUE,
|DROP CURRENCY;
Adding the
CHK_SALARY
check constraint and a foreign key to theJOB
table.|
ALTER TABLE JOB
|ADD CONSTRAINT CHK_SALARY CHECK (MIN_SALARY < MAX_SALARY),
|ADD FOREIGN KEY (JOB_COUNTRY) REFERENCES COUNTRY (COUNTRY);
Setting default value for the
MODEL
field, changing the type of theITEMID
column and renaming the MODELNAME column.|
ALTER TABLE STOCK
|ALTER COLUMN MODEL SET DEFAULT 1,
|ALTER COLUMN ITEMID TYPE BIGINT,
|ALTER COLUMN MODELNAME TO NAME;
Changing the computed columns
NEW_SALARY
andSALARY_CHANGE
.|
ALTER TABLE SALARY_HISTORY
|ALTER NEW_SALARY GENERATED ALWAYS AS
|(OLD_SALARY + OLD_SALARY * PERCENT_CHANGE / 100),
|ALTER SALARY_CHANGE COMPUTED BY
|(OLD_SALARY * PERCENT_CHANGE / 100);
See alsoSection 5.4.1, “CREATE TABLE
”, Section 5.4.3, “DROP TABLE
”, Section 5.3.1, “CREATE DOMAIN
”
5.4.3. DROP TABLE
Used fordeleting a table
Available inDSQL, ESQL
Syntax
|
DROP TABLE tablename
DROP TABLE
Statement ParameterParameter | Description |
---|---|
tablename | Name (identifier) of the table |
The DROP TABLE
statement deletes an existing table.
If the table has dependencies, the DROP TABLE
statement will fail with an execution error.
When a table is dropped, all triggers for its events and indexes built for its fields will be deleted as well.
Only the table owner and administrators have the authority to use DROP TABLE
.
ExampleDeleting the COUNTRY
table.
|DROP TABLE COUNTRY;
See alsoSection 5.4.1, “CREATE TABLE
”, Section 5.4.2, “ALTER TABLE
”, Section 5.4.4, “RECREATE TABLE
”
5.4.4. RECREATE TABLE
Used forcreating a new table (relation) or recreating an existing one
Available inDSQL
Syntax
|
RECREATE [GLOBAL TEMPORARY] TABLE tablename
| [EXTERNAL [FILE] 'filespec']
| (<col_def> [, {<col_def> | <tconstraint>} ...])
| [ON COMMIT {DELETE | PRESERVE} ROWS]
See the CREATE TABLE
section for the full syntax of CREATE TABLE
and descriptions of defining tables, columns and constraints.
RECREATE TABLE
creates or recreates a table.
If a table with this name already exists, the RECREATE TABLE
statement will try to drop it and create a new one.
Existing dependencies will prevent the statement from executing.
ExampleCreating or recreating the COUNTRY
table.
|RECREATE TABLE COUNTRY (
|COUNTRY COUNTRYNAME NOT NULL PRIMARY KEY,
|CURRENCY VARCHAR(10) NOT NULL
|);
See alsoSection 5.4.1, “CREATE TABLE
”, Section 5.4.3, “DROP TABLE
”