SQLite 是遵循一套独特的称为语法的规则和准则。本教程列出了所有基本的 SQLite 语法,向您提供了一个 SQLite 快速入门。
有个重要的点值得注意,SQLite 是不区分大小写的,但也有一些命令是大小写敏感的,比如 GLOB 和 glob 在 SQLite 的语句中有不同的含义。
SQLite 注释是附加的注释,可以在 SQLite 代码中添加注释以增加其可读性,他们可以出现在任何空白处,包括在表达式内和其他 SQL 语句的中间,但它们不能嵌套。
SQL 注释以两个连续的 "-" 字符(ASCII 0x2d)开始,并扩展至下一个换行符(ASCII 0x0a)或直到输入结束,以先到者为准。
您也可以使用 C 风格的注释,以 "/*" 开始,并扩展至下一个 "*/" 字符对或直到输入结束,以先到者为准。SQLite的注释可以跨越多行。
sqlite>.help -- 这是一个简单的注释
所有的 SQLite 语句可以以任何关键字开始,如 SELECT、INSERT、UPDATE、DELETE、ALTER、DROP 等,所有的语句以分号 ; 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 VIEW view_name;
DROP TRIGGER 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;
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