Sqlite 简明教程

SQLite - ALTER TABLE Command

SQLite ALTER TABLE 命令修改现有表而不执行数据的完整转储和重新加载。你可以使用 ALTER TABLE 语句重命名表,并且可以使用 ALTER TABLE 语句在现有表中添加其他列。

SQLite ALTER TABLE command modifies an existing table without performing a full dump and reload of the data. You can rename a table using ALTER TABLE statement and additional columns can be added in an existing table using ALTER TABLE statement.

除重命名表和在现有表中添加列外,SQLite 中 ALTER TABLE 命令不支持任何其他操作。

There is no other operation supported by ALTER TABLE command in SQLite except renaming a table and adding a column in an existing table.

Syntax

下面是 ALTER TABLE 的基本语法,用于重命名现有表。

Following is the basic syntax of ALTER TABLE to RENAME an existing table.

ALTER TABLE database_name.table_name RENAME TO new_table_name;

以下是 ALTER TABLE 的基本语法,用于在现有表中添加新列。

Following is the basic syntax of ALTER TABLE to add a new column in an existing table.

ALTER TABLE database_name.table_name ADD COLUMN column_def...;

Example

考虑包含如下记录的 COMPANY 表 -

Consider the COMPANY table with the following records −

ID          NAME        AGE         ADDRESS     SALARY
----------  ----------  ----------  ----------  ----------
1           Paul        32          California  20000.0
2           Allen       25          Texas       15000.0
3           Teddy       23          Norway      20000.0
4           Mark        25          Rich-Mond   65000.0
5           David       27          Texas       85000.0
6           Kim         22          South-Hall  45000.0
7           James       24          Houston     10000.0

现在,让我们尝试使用 ALTER TABLE 语句重命名该表,如下所示 -

Now, let’s try to rename this table using ALTER TABLE statement as follows −

sqlite> ALTER TABLE COMPANY RENAME TO OLD_COMPANY;

上述 SQLite 语句将 COMPANY 表重命名为 OLD_COMPANY。现在,让我们尝试在 OLD_COMPANY 表中添加新列,如下所示 -

The above SQLite statement will rename COMPANY table to OLD_COMPANY. Now, let’s try to add a new column in OLD_COMPANY table as follows −

sqlite> ALTER TABLE OLD_COMPANY ADD COLUMN SEX char(1);

现在,COMPANY 表已更改,并且以下内容将成为 SELECT 语句的输出。

COMPANY table is now changed and following will be the output from SELECT statement.

ID          NAME        AGE         ADDRESS     SALARY      SEX
----------  ----------  ----------  ----------  ----------  ---
1           Paul        32          California  20000.0
2           Allen       25          Texas       15000.0
3           Teddy       23          Norway      20000.0
4           Mark        25          Rich-Mond   65000.0
5           David       27          Texas       85000.0
6           Kim         22          South-Hall  45000.0
7           James       24          Houston     10000.0

应注意,新添加的列填充为 NULL 值。

It should be noted that newly added column is filled with NULL values.