SQLite 是遵循一套獨特的稱為語法的規則和准則。本教程列出了所有基本的 SQLite 語法,向您提供了一個 SQLite 快速入門。
有個重要的點值得注意,SQLite 是不區分大小寫的,但也有一些命令是大小寫敏感的,比如 GLOB 和 glob 在 SQLite 的語句中有不同的含義。
SQLite 注釋是附加的注釋,可以在 SQLite 代碼中添加注釋以增加其可讀性,他們可以出現在任何空白處,包括在表達式內和其他 SQL 語句的中間,但它們不能嵌套。
SQL 注釋以兩個連續的 "-" 字符(ASCII 0x2d)開始,並擴展至下一個換行符(ASCII 0x0a)或直到輸入結束,以先到者為准。
您也可以使用 C 風格的注釋,以 "/*" 開始,並擴展至下一個 "*/" 字符對或直到輸入結束,以先到者為准。SQLite的注釋可以跨越多行。
sqlite>.help -- This is a single line comment
所有的 SQLite 語句可以以任何關鍵字開始,如 SELECT、INSERT、UPDATE、DELETE、ALTER、DROP 等,所有的語句以分號(;)結束。
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;