This document discusses various techniques for querying data in MySQL including joins, aggregation functions, views, unions, and subqueries. It provides examples of each with sample SQL queries. Specifically, it covers inner and outer joins, aggregation functions like sum, avg, min, max and count, creating and updating views, using unions to combine result sets from different tables, and using subqueries with comparison operators, in, exists, and all/any.

1. MYSQL DATA QUERYING

2. OVERVIEW Querying data using joins Aggregation functions Creating and using views Using union operator for querying Subqueries.

3. Querying data using joins 1.INNER JOIN() CROSS JOIN and JOIN types are all similar to INNER JOIN Used to link a table to itself. Ex: consider two tables t1 and t2.

4. Mysql>select * from t1 inner join t2; (here each row of one table is combined with each row of the other table, this join performs Cartesian product)

5. (in order to perform inner join based on certain criteria use WHERE clause) Mysql>select t1.*,t2.* from t1 inner join t2 where t1.i1=t2.i2;  (inner join only selects the records which match the condition)

6. OUTER JOINS (these select even the records which donot satisfy the condition and place a NULL) 1.LEFT JOIN ( this forces the result set to contain a row for every entry selected from the left table, so if there is no match on the right table, we will find NULL in the result set) Mysql>select t1.*,t2.* from t1 left join t2 on t1.i1=t2.i2;

7. 2.RIGHT JOIN() (this forces the result set to contain a row for every entry selected from the right table, so if there is no match on the left table, we will find NULL) Mysql>select t1.*,t2.* from t1 right join t2 on t1.i1=t2.i2; Mysql>select t1.* from t1 left join t2 on t1.i1=t2.i2 Where t1.i1 ISNULL; (left join is used to find the records where there is mismatch)

8. Join can be used for self referencing Ex: consider the emp_mgr table

9. (employee table can be retrieved separately by performing self join) employee_table Mysql>select t1.ssn,t1.name as e_name from emp_mgr as t1 inner join emp_mgr as t2 on t2.ssn=t1.mgr_ssn; 

10. USING UNION FOR QUERYING We can list the combined result set from different tables. Ex://suppose we have 2 teams one for quiz and 1 for debate as follows quiz teamdebate team

11. Mysql>select name,age from quiz union select name,age from debate;  (advantage of union: unique values are not repeated, it eleminates duplicate rows by default. To preserve the duplicate rows use UNION ALL)

12. Aggregate functions used to perform calculations on a group of records and return a single value. Often used with GROUP BY clause of SELECT statement. Some of the aggregate functions are SUM,AVG,MIN,MAX,COUNT etc

13. Ex:using employee database Mysql>select * from employee;

14. 1.SUM() Returns the sum of the grouped values, Returns 0 if there are no matching values. Mysql>select dept,sum(sal) From employee Group by dept;  2.AVG() Returns the average of the grouped values. Mysql>select avg(sal) average_salary from employee; 

15. 3.MIN() and MAX() Mysql>select min(sal) MIN,  max(sal) MAX from employee; 4.COUNT() Returns the count of values, here we can use to count the number of employee’s working in the company. Mysq>select count(*) from Employee; 

16. 5.VARIANCE() Mysql>select variance(sal) from employee; 688888888.8889 6.STDDEV() Mysql>select stddev(sal) from employee; 26246.6929

17. views Views are virtual tables defined in terms of other(base) tables. When the data in the underlying table changes so does the data in the view. But if the definitions in the table changes for ex: if we add new columns to the table then these changes might not apply for the views created.

18. Views are updatable which means you can change the underlying table by means of operations on the view only when the view is mapped directly onto a single table view must select only the columns that are simple references to the table columns any operation on the view row must correspond to an operation on a single in the underlying table. no union operators,GROUP BY OR HAVING clauses,aggregate functions are used in the query.

19. A simple view is a way to select a subset of a tables columns. Syntax: CREATE VIEW view_name as select_query check condition; Ex:using employee database if we want to only select the columns name and ssn from the employee table we have to create the view. Mysql> create view vemp as select ssn,name from employee;

20. Mysql>select * from vemp; We can further get data from the view by querying using WHERE,ORDER BY and other clauses. You can provide column names explicitly by providing the names in closed parenthesis. Mysql> create view vemp (reg,enm) as select ssn,name from employee;

21. A view can be used to perform calculations automatically. Mysql>create view exp as select name, timestampdiff(year,date-of-join,’2010-01-01’) as experience from employee; Mysql>select * from exp; View can be defined on multiple tables, which makes it easy to use queries having join conditions.

22. The select condition used to create the view can be altered using the syntax: ALTER VIEW view_name select_condition Check_condition; The select query used to define the view can be retrieved using the syntax: SHOW CREATE VIEW view_name; To drop the view use the syntax: DROP VIEW view_name;

23. Setting privileges for the views Privileges can be granted and revoked using any of the following: GRANT CREATE VIEW; GRANT SHOW CREATE VIEW; REVOKE CREATE VIEW; REVOKE SHOW CREATE VIEW;

24. sub queries Subqueries support one select query to be nested inside the other. Subquery may return a single value,single column,single row or a table depending on the query. Subqueries may be correlated or uncorrelated. Subqueries can be tested using: Comparison operators(=,>,<) EXISTS,NOT EXISTS tests if the result of the subquery is empty. IN,NOT IN tests if the value is present in the set returned by subquery. ALL,ANY compare the value to the values returned.

25. Subqueries with comparison operators Comparison operators when used with the subqueries,will find all the rows in the outer query which satisfy the particular relationship with the value returned by the subquery. Ex: to select the employee who is least paid we can use the subquery. Mysql>select * from e where sal=(select min(sal) from e);

26. Subqueries with IN and NOT IN Used when the subquery returns multiple values. Matches the row whose value is present in the set of values returned by the sub query. Mysql>select * from employee where ssn IN (select mgr_ssn from manager); retrieves the details of all employees who are managers Mysql>select * from employee where ssn NOT IN (select mgr_ssn from manager); retrieves the details of all employees who are not managers

27. Subqueries with ALL and ANY Used along with comparison operators. ALL Tests if the comparison value satisfies the particular relationship with all the values returned by the subquery. Mysql>select ssn,name from employee where date_of_join <= ALL (select date_of_join from employee); shows that jack is the most experienced working employee.

28. ANY Tests if the comparison value satisfies the particular relationship with any value returned by the subquery. Mysql>select ssn,name from employee where date_of_join <= ANY(select date_of_join from employee); this returns all the rows because every date_of_join is <= atleast one of the other date including itself

29. Subqueries with EXISTS and NOT EXISTS Used to test if the subquery returns any row. If it returns any row.EXISTS is true and NOT EXIST is false, it returns 1. Mysql>select EXISTS(select * from employee where ssn=1111111); 0 Mysql>select NOT EXISTS(select * from employee where ssn=1111111); 1

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