Select Statement

What do we use SQL commands for? A common use is to select data from the tables located in a database. Immediately, we see two keywords: we need to SELECT information FROM a table. (Note that a table is a container that resides in the database where the data is stored. . Hence we have the most basic SQL structure:
SELECT "column_name" FROM "table_name"
To illustrate the above example, assume that we have the following table:
Table Store_Information

store_name	Sales	Date
Los Angeles	$1500	Jan-05-1999
San Diego	$250	Jan-07-1999
Los Angeles	$300	Jan-08-1999
Boston	$700	Jan-08-1999

We shall use this table as an example throughout the tutorial (this table will appear in all sections). To select all the stores in this table, we key in,
SELECT store_name FROM Store_Information
Result:

store_name

Los Angeles

San Diego

Los Angeles

Boston

Multiple column names can be selected, as well as multiple table names

SQL Syntax

List of Normal Queries


Select Statement
SELECT "column_name" FROM "table_name"
Distinct
SELECT DISTINCT "column_name"
FROM "table_name"
Where
SELECT "column_name"
FROM "table_name"
WHERE "condition"
And/Or
SELECT "column_name"
FROM "table_name"
WHERE "simple condition"
{[AND|OR] "simple condition"}+
In
SELECT "column_name"
FROM "table_name"
WHERE "column_name" IN ('value1', 'value2', ...)
Between
SELECT "column_name"
FROM "table_name"
WHERE "column_name" BETWEEN 'value1' AND 'value2'
Like
SELECT "column_name"
FROM "table_name"
WHERE "column_name" LIKE {PATTERN}
Order By
SELECT "column_name"
FROM "table_name"
[WHERE "condition"]
ORDER BY "column_name" [ASC, DESC]
Count
SELECT COUNT("column_name")
FROM "table_name"
Group By
SELECT "column_name1", SUM("column_name2")
FROM "table_name"
GROUP BY "column_name1"
Having
SELECT "column_name1", SUM("column_name2")
FROM "table_name"
GROUP BY "column_name1"
HAVING (arithematic function condition)
Create Table Statement
CREATE TABLE "table_name"
("column 1" "data_type_for_column_1",
"column 2" "data_type_for_column_2",
... )
Drop Table Statement
DROP TABLE "table_name"
Truncate Table Statement
TRUNCATE TABLE "table_name"
Insert Into Statement
INSERT INTO "table_name" ("column1", "column2", ...)
VALUES ("value1", "value2", ...)
Update Statement
UPDATE "table_name"
SET "column_1" = [new value]
WHERE {condition}
Delete From Statement
DELETE FROM "table_name"
WHERE {condition}