📅  最后修改于: 2021-01-04 04:55:02             🧑  作者: Mango
SQLite之后是称为语法的唯一一组规则和准则。本章列出了所有基本的SQLite语法。
需要注意的重要一点是,SQLite不区分大小写,即子句GLOB和glob在SQLite语句中具有相同的含义。
SQLite注释是额外的注释,您可以在SQLite代码中添加注释以增加其可读性,并且它们可以出现在任何位置;可能会出现空格,包括内部表达式和其他SQL语句的中间,但不能嵌套。
SQL注释以两个连续的“ – ”字符(ASCII 0x2d)和向上延伸并包括下一个字符(ASCII 0X0A),或者直到输入的结束,以先到者为准。
您还可以使用C样式的注释,该注释以“ / *”开头,一直扩展到下一个“ * /”字符对,并包括下一个“ * /”字符对,或者直到输入结束(以先到者为准)。 C样式注释可以跨越多行。
sqlite> .help -- This is a single line comment
所有SQLite语句均以SELECT,INSERT,UPDATE,DELETE,ALTER,DROP等任何关键字开头,所有语句均以分号(;)结尾。
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;