PHP Day 08 Geshan Manandhar Developer, Young Innovations Private Limited www.geshanmanandhar.com/slides/php http://www.php.net http://www.mysql.com

MYSQL queries MYSQL query with sorting ASC and DESC MYSQL query with limit and offset MYSQL query with join 2 tables MYSQL query with count, sum, avg, min MYSQL query with string concat MYSQL query with like % and _

MYSQL query with sorting ASC and DESC

MYSQL query with limit and offset

MYSQL query with join 2 tables

MYSQL query with count, sum, avg, min

MYSQL query with string concat

MYSQL query with like % and _

tbl_user_test schema

tbl_test_user instance/data

Sorting With MYSQL SELECT tu.user_id, tu.user_login, tu.email FROM tbl_user_test AS tu ORDER BY tu.user_login ASC ; SELECT tu.user_id, tu.user_login, tu.email FROM tbl_user_test as tu ORDER BY tu.email DESC ; ASC – Ascending taken by default.

SELECT tu.user_id, tu.user_login, tu.email FROM tbl_user_test AS tu ORDER BY tu.user_login ASC ;

SELECT tu.user_id, tu.user_login, tu.email FROM tbl_user_test as tu ORDER BY tu.email DESC ;

ASC – Ascending taken by default.

Limit in MYSQL SELECT * FROM `tbl_user_test` LIMIT 1 ; - select only one row. SELECT * FROM `tbl_user_test` LIMIT 1,3 ; - Select 2 nd row and 3 rows including 2 nd row. Good to use for pagination

SELECT * FROM `tbl_user_test` LIMIT 1 ; - select only one row.

SELECT * FROM `tbl_user_test` LIMIT 1,3 ; - Select 2 nd row and 3 rows including 2 nd row.

Good to use for pagination

Table joins with MYSQL SELECT tu.user_login, tl.log_text FROM tbl_user_test AS tu, tbl_log AS tl WHERE tu.user_id = tl.tbl_user_test_user_id;

SELECT tu.user_login, tl.log_text FROM tbl_user_test AS tu, tbl_log AS tl WHERE tu.user_id = tl.tbl_user_test_user_id;

Calculations with MYSQL SELECT MIN( tp.price ) FROM tbl_products AS tp; - Applicable of single column SELECT tp.type, MIN( tp.price ) FROM tbl_products AS tp GROUP BY tp.type; - simple group by. SELECT COUNT( * ) FROM tbl_products; - single column

SELECT MIN( tp.price ) FROM tbl_products AS tp; - Applicable of single column

SELECT tp.type, MIN( tp.price ) FROM tbl_products AS tp GROUP BY tp.type; - simple group by.

SELECT COUNT( * ) FROM tbl_products; - single column

SELECT tp.type, COUNT( tp.name ) FROM tbl_products AS tp GROUP BY tp.type;

SELECT tp.type, COUNT( tp.name ) FROM tbl_products AS tp GROUP BY tp.type;

Sum and Average SELECT SUM ( tp.price ) FROM tbl_products AS tp; SELECT tp.type, SUM (tp.price) FROM tbl_products AS tp GROUP BY tp.type; SELECT AVG ( tp.price ) FROM tbl_products AS tp; SELECT tp.type, AVG (tp.price) FROM tbl_products AS tp GROUP BY tp.type;

SELECT SUM ( tp.price ) FROM tbl_products AS tp;

SELECT tp.type, SUM (tp.price) FROM tbl_products AS tp GROUP BY tp.type;

SELECT AVG ( tp.price ) FROM tbl_products AS tp;

SELECT tp.type, AVG (tp.price) FROM tbl_products AS tp GROUP BY tp.type;

String Concat SELECT CONCAT(tc.first_name, ' ', tc.middle_name, ' ', tc.last_name) AS FullName FROM tbl_client AS tc;

SELECT CONCAT(tc.first_name, ' ', tc.middle_name, ' ', tc.last_name) AS FullName FROM tbl_client AS tc;

CONCAT_WS SELECT CONCAT_WS(' ', tc.first_name, tc.middle_name, tc.last_name) AS FullName FROM tbl_client AS tc;

SELECT CONCAT_WS(' ', tc.first_name, tc.middle_name, tc.last_name) AS FullName FROM tbl_client AS tc;

Select for searches SELECT * FROM `tbl_user_test` WHERE user_login LIKE 'user%' ; %: Matches any number of characters, even zero characters.

SELECT * FROM `tbl_user_test` WHERE user_login LIKE 'user%' ;

%: Matches any number of characters, even zero characters.

Select for searches SELECT * FROM `tbl_user_test` WHERE user_login LIKE 'user_' ; _: Matches exactly one character.

SELECT * FROM `tbl_user_test` WHERE user_login LIKE 'user_' ;

_: Matches exactly one character.

Questions

Lets run some SQL queries Show users in ascending and descending order as per user_login. Show users of row 2-5 in ascending order as per email. Show maximum price from tbl_products grouped by type. Experiment concat and search queries…

Show users in ascending and descending order as per user_login.

Show users of row 2-5 in ascending order as per email.

Show maximum price from tbl_products grouped by type.

Experiment concat and search queries…