SQL NOW() Function

The NOW() Function

The NOW() function returns the current system date and time.

SQL NOW() Example

We have the following "Products" table:

Now we want to display the products and prices per today's date. We use the following SELECT statement:

SQL FORMAT() Function

The FORMAT() Function

The FORMAT() function is used to format how a field is to be displayed.

SQL FORMAT() Example

We have the following "Products" table:

Now we want to display the products and prices per today's date (with today's date displayed in the following format "YYYY-MM-DD").

We use the following SELECT statement:

The result-set will look like this:

SQL Quick Reference

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_name2 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*FROMtable_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
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