SQL Quick Start Basics

Source: Internet
Author: User

SQL SELECT Statement

To get the contents of a column named "LastName" and "FirstName" (from a database table named "Persons"), use a SELECT statement like this:

SELECT Lastname,firstname from Persons
"Persons" table: City
Id LastName FirstName Address
1 Adams John Oxford Street London
2 Bush George Fifth Avenue New York
3 Carter Thomas Changan Street Beijing
Results:
LastName FirstName
Adams John
Bush George
Carter Thomas

SQL SELECT DISTINCT Statement

In the table, duplicate values may be included. That's not a problem, but sometimes you might want to just list different values (distinct).

Keyword DISTINCT is used to return only different values.

Grammar:
SELECT DISTINCT column name from table name
Using DISTINCT Keywords

If you want to pick all the values from the company column, we need to use the SELECT statement:

SELECT Company from Orders
"Orders" table: Company
OrderNumber
Ibm 3532
W3school 2356
Apple 4698
W3school 6953
Results:
Company
Ibm
W3school
Apple
W3school

Note that in the result set, W3school is listed two times.

To select only a different value from the company column, we need to use the Select DISTINCT statement:

DISTINCT
Results:
Company
Ibm
W3school
Apple
WHERE clause

To conditionally select data from a table, you can add a WHERE clause to the SELECT statement.

Grammar
SELECT column name from table name WHERE column operator value

The following operators can be used in the WHERE clause:

operator Description
= Equals
<> Not equal to
> Greater than
< Less than
>= Greater than or equal
<= Less than or equal
Between Within a range
Like Search for a pattern

Note: In some versions of SQL, the operator <> can be written as! =.

Using the WHERE clause

If you want to select only people who live in the city "Beijing", we need to add a WHERE clause to the SELECT statement:

WHERE City=‘Beijing‘
"Persons" table City Year
LastName FirstName Address
Adams John Oxford Street London 1970
Bush George Fifth Avenue New York 1975
Carter Thomas Changan Street Beijing 1980
Gates Bill Xuanwumen 10 Beijing 1985
Results: City Year
LastName FirstName Address
Carter Thomas Changan Street Beijing 1980
Gates Bill Xuanwumen 10 Beijing 1985
Use of quotation marks

Note that we use single quotes around the condition values in the example.

SQL uses single quotation marks to wrap text values (most database systems also accept double quotes). If it is a numeric value, do not use quotation marks.

The order BY statement is used to sort the result set.

ORDER by statement

The order BY statement is used to sort the result set based on the specified column.

The order BY statement sorts records by default in ascending order.

If you want to sort records in descending order, you can use the DESC keyword.

The original table (used in the example):

Orders table:

Company
OrderNumber
Ibm 3532
W3school 2356
Apple 4698
W3school 6953
Example 1

Show company name in alphabetical order:

ORDER BY Company
Results: Company
OrderNumber
Apple 4698
Ibm 3532
W3school 6953
W3school 2356
Example 2

Displays the company name in alphabetical order and displays the order number (OrderNumber) in numerical order:

ORDER BY Company, OrderNumber

Results:

Company
OrderNumber
Apple 4698
Ibm 3532
W3school 2356
W3school 6953
Example 3

Show company name in reverse alphabetical order:

ORDER BY Company DESC
Results: Company
OrderNumber
W3school 6953
W3school 2356
Ibm 3532
Apple 4698
Example 4

Displays the company name in reverse alphabetical order and displays the sequential number in numerical order:

ORDER BY Company DESC, OrderNumber ASC
Results: Company
OrderNumber
W3school 2356
W3school 6953
Ibm 3532
Apple 4698

Note: There are two equal company names (W3school) in the results above. Only this time, when there is the same value in the first column, the second column is in ascending order. This is the case if some of the values in the first column are nulls.

INSERT into statement

The INSERT INTO statement is used to insert a new row into the table.

Grammar
INSERT into table name values (value 1, value 2,....)

We can also specify the columns for which you want to insert data:

INSERT into table_name (column 1, column 2,...) Values (value 1, value 2,....)
Insert a new line "Persons" table: City
LastName FirstName Address
Carter Thomas Changan Street Beijing
SQL statements:
INSERT into Persons VALUES (' Gates ', ' Bill ', ' xuanwumen ', ' Beijing ')
Results: City
LastName FirstName Address
Carter Thomas Changan Street Beijing
Gates Bill Xuanwumen 10 Beijing
Insert the data "Persons" table in the specified column: City
LastName FirstName Address
Carter Thomas Changan Street Beijing
Gates Bill Xuanwumen 10 Beijing
SQL statements:
INSERT into Persons (LastName, Address) VALUES (' Wilson ', ' champs-elysees ')
Results: City
LastName FirstName Address
Carter Thomas Changan Street Beijing
Gates Bill Xuanwumen 10 Beijing
Wilson Champs-elysees
Update statement

The Update statement is used to modify the data in the table.

Grammar:
UPDATE table name SET column name = new value WHERE Column name = value
Person: City
LastName FirstName Address
Gates Bill Xuanwumen 10 Beijing
Wilson Champs-elysees
To update a column in a row

We add FirstName for LastName who is "Wilson":

Results: City
LastName FirstName Address
Gates Bill Xuanwumen 10 Beijing
Wilson Fred Champs-elysees
To update several columns in a row

We will modify the address and add the city name:

UPDATE person SET Address = ' Zhongshan ", city = ' nanjing ' WHERE LastName = ' Wilson '
Results: City
LastName FirstName Address
Gates Bill Xuanwumen 10 Beijing
Wilson Fred Zhongshan 23 Nanjing
DELETE statement

The DELETE statement is used to delete rows in a table.

Grammar
DELETE from table name WHERE column name = value
Person: City
LastName FirstName Address
Gates Bill Xuanwumen 10 Beijing
Wilson Fred Zhongshan 23 Nanjing
Delete a row

"Fred Wilson" will be removed:

Results: City
LastName FirstName Address
Gates Bill Xuanwumen 10 Beijing
Delete all rows

You can delete all rows without deleting the table. This means that the structure, properties, and indexes of the table are complete:

DELETE from table_name

Or:

DELETE * FROM table_name

SQL Quick Start Basics

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