发布于 2015-07-25 11:38:49 | 333 次阅读 | 评论: 0 | 来源: 网络整理
SQLite是遵循一套独特的称为语法的规则和准则。本教程提供了一个快速入门SQLite所有基本的SQLite语法。
重要的一点要注意的是,SQLite是不区分大小写的,但也有一些命令,这些命令是大小写敏感的像GLOB,glob 在SQLite的语句有不同的含义。
SQLite的注释是额外注意,可以添加SQLite代码,以增加其可读性,他们可以出现在任何空白可以发生,包括里面的表达式和其他SQL语句的中间,但他们不能嵌套。
SQL注释开始连续两个“ - ”字符(ASCII0X2D)和扩展,包括下一个换行符(0X0A ASCII),直到输入的结尾,以先到者为准。
还可以使用C风格的注释,“/ *”开始,扩展到包括未来的“*/”字符对,直到输入的结尾,以先到者为准。 C风格的注释可以跨越多行。
sqlite>.help -- This is a single line comment
所有SQLite语句开头可以以任何关键字,如SELECT,INSERT,UPDATE,DELETE,ALTER,DROP等,所有的语句用分号(;)结束。
ANALYZE;
or
ANALYZE database_name;
or
ANALYZE database_name.table_name;
SELECT column1, column2....columnN
FROM table_name
WHERE CONDITION-1 {AND|OR} CONDITION-2;
ALTER TABLE table_name ADD COLUMN column_def...;
ALTER TABLE table_name RENAME TO new_table_name;
ATTACH DATABASE 'DatabaseName' As 'Alias-Name';
BEGIN;
or
BEGIN EXCLUSIVE TRANSACTION;
SELECT column1, column2....columnN
FROM table_name
WHERE column_name BETWEEN val-1 AND val-2;
COMMIT;
CREATE INDEX index_name
ON table_name ( column_name COLLATE NOCASE );
CREATE UNIQUE INDEX index_name
ON table_name ( column1, column2,...columnN);
CREATE TABLE table_name(
column1 datatype,
column2 datatype,
column3 datatype,
.....
columnN datatype,
PRIMARY KEY( one or more columns )
);
CREATE TRIGGER database_name.trigger_name
BEFORE INSERT ON table_name FOR EACH ROW
BEGIN
stmt1;
stmt2;
....
END;
CREATE VIEW database_name.view_name AS
SELECT statement....;
CREATE VIRTUAL TABLE database_name.table_name USING weblog( access.log );
or
CREATE VIRTUAL TABLE database_name.table_name USING fts3( );
COMMIT;
SELECT COUNT(column_name)
FROM table_name
WHERE CONDITION;
DELETE FROM table_name
WHERE {CONDITION};
DETACH DATABASE 'Alias-Name';
SELECT DISTINCT column1, column2....columnN
FROM table_name;
DROP INDEX database_name.index_name;
DROP TABLE database_name.table_name;
DROP INDEX database_name.view_name;
DROP INDEX database_name.trigger_name;
SELECT column1, column2....columnN
FROM table_name
WHERE column_name EXISTS (SELECT * FROM table_name );
EXPLAIN INSERT statement...;
or
EXPLAIN QUERY PLAN SELECT statement...;
SELECT column1, column2....columnN
FROM table_name
WHERE column_name GLOB { PATTERN };
SELECT SUM(column_name)
FROM table_name
WHERE CONDITION
GROUP BY column_name;
SELECT SUM(column_name)
FROM table_name
WHERE CONDITION
GROUP BY column_name
HAVING (arithematic function condition);
INSERT INTO table_name( column1, column2....columnN)
VALUES ( value1, value2....valueN);
SELECT column1, column2....columnN
FROM table_name
WHERE column_name IN (val-1, val-2,...val-N);
SELECT column1, column2....columnN
FROM table_name
WHERE column_name LIKE { PATTERN };
SELECT column1, column2....columnN
FROM table_name
WHERE column_name NOT IN (val-1, val-2,...val-N);
SELECT column1, column2....columnN
FROM table_name
WHERE CONDITION
ORDER BY column_name {ASC|DESC};
PRAGMA pragma_name;
For example:
PRAGMA page_size;
PRAGMA cache_size = 1024;
PRAGMA table_info(table_name);
RELEASE savepoint_name;
REINDEX collation_name;
REINDEX database_name.index_name;
REINDEX database_name.table_name;
ROLLBACK;
or
ROLLBACK TO SAVEPOINT savepoint_name;
SAVEPOINT savepoint_name;
SELECT column1, column2....columnN
FROM table_name;
UPDATE table_name
SET column1 = value1, column2 = value2....columnN=valueN
[ WHERE CONDITION ];
VACUUM;
SELECT column1, column2....columnN
FROM table_name
WHERE CONDITION;