SQL Statement
Syntax

AND / OR
SELECT column_name(s)
FROM table_name
WHERE condition
AND|OR condition
ALTER TABLE
ALTER TABLE table_name
ADD column_name datatype
or
ALTER TABLE table_name
DROP COLUMN column_name
AS (alias)
SELECT column_name AS column_alias
FROM table_name
or
SELECT column_name
FROM table_name  AS table_alias
BETWEEN
SELECT column_name(s)
FROM table_name
WHERE column_name
BETWEEN value1 AND value2
CREATE DATABASE
CREATE DATABASE database_name
CREATE TABLE
CREATE TABLE table_name
(
column_name1 data_type,
column_name2 data_type,
column_name3 data_type,
...
)
CREATE INDEX
CREATE INDEX index_name
ON table_name (column_name)
or
CREATE UNIQUE INDEX index_name
ON table_name (column_name)
CREATE VIEW
CREATE VIEW view_name AS
SELECT column_name(s)
FROM table_name
WHERE condition
DELETE
DELETE FROM table_name
WHERE some_column=some_value
or
DELETE FROM table_name
(Note: Deletes the entire table!!)
DELETE * FROM table_name
(Note: Deletes the entire table!!)
DROP DATABASE
DROP DATABASE database_name
DROP INDEX
DROP INDEX table_name.index_name (SQL Server)
DROP INDEX index_name ON table_name (MS Access)
DROP INDEX index_name (DB2/Oracle)
ALTER TABLE table_name
DROP INDEX index_name (MySQL)
DROP TABLE
DROP TABLE table_name
EXISTS
IF EXISTS (SELECT * FROM table_name WHERE id = ?)
BEGIN
--do what needs to be done if exists
END
ELSE
BEGIN
--do what needs to be done if not
END
GROUP BY
SELECT column_name, aggregate_function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name
HAVING
SELECT column_name, aggregate_function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name
HAVING aggregate_function(column_name) operator value
IN
SELECT column_name(s)
FROM table_name
WHERE column_name
IN (value1,value2,..)
INSERT INTO
INSERT INTO table_name
VALUES (value1, value2, value3,....)
or
INSERT INTO table_name
(column1, column2, column3,...)
VALUES (value1, value2, value3,....)
INNER JOIN
SELECT column_name(s)
FROM table_name1
INNER JOIN table_name2
ON table_name1.column_name=table_name2.column_name
LEFT JOIN
SELECT column_name(s)
FROM table_name1
LEFT JOIN table_name2
ON table_name1.column_name=table_name2.column_name
RIGHT JOIN
SELECT column_name(s)
FROM table_name1
RIGHT JOIN table_name2
ON table_name1.column_name=table_name2.column_name
FULL JOIN
SELECT column_name(s)
FROM table_name1
FULL JOIN table_name2
ON table_name1.column_name=table_name2.column_name
LIKE
SELECT column_name(s)
FROM table_name
WHERE column_name LIKE pattern
ORDER BY
SELECT column_name(s)
FROM table_name
ORDER BY column_name [ASC|DESC]
SELECT
SELECT column_name(s)
FROM table_name
SELECT *
SELECT *
FROM table_name
SELECT DISTINCT
SELECT DISTINCT column_name(s)
FROM table_name
SELECT INTO
SELECT *
INTO new_table_name [IN externaldatabase]
FROM old_table_name
or
SELECT column_name(s)
INTO new_table_name [IN externaldatabase]
FROM old_table_name
SELECT TOP
SELECT TOP number|percent column_name(s)
FROM table_name
TRUNCATE TABLE
TRUNCATE TABLE table_name
UNION
SELECT column_name(s) FROM table_name1
UNION
SELECT column_name(s) FROM table_name2
UNION ALL
SELECT column_name(s) FROM table_name1
UNION ALL
SELECT column_name(s) FROM table_name2
UPDATE
UPDATE table_name
SET column1=value, column2=value,...
WHERE some_column=some_value
WHERE
SELECT column_name(s)
FROM table_name
WHERE column_name operator value


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