How to join result table with existing table, on repeating values? - sql

I want to Join result table if the emp_id is repeated. and display employees first name.
result table code:
SELECT emp_id, COUNT(*)
FROM Employment
GROUP BY emp_id
HAVING COUNT(*) > 1
Employment table:
emp_id
task_complete
year
1
task1
2020
1
task2
2020
3
task3
1999
4
task4
2001
Employee table:
emp_id
first_name
last_name
1
Jon
Doe
2
Don
Juan
3
Steve
Works
4
Loki
Odinsen
So that employee 1 has done 2 tasks, Result should look like:
emp_id
first_name
tasks_done
1
Jon
2

This looks like group by and having:
select e.emp_id, e.first_name, count(*)
from employee e join
tasks t
on e.emp_id = t.emp_id
group by e.emp_id, e.first_name
having count(*) > 1;

Related

How to get Details of all Department(dept_id, name, dept_manager and total_employees) from tables(Department, Employee)?

Here are the details of the tables:
Employee :
emp_ID | Primary Key
emp_name | Varchar
emp_email | varchar <br>
emp_dept_id | Foreign Key
Departments :
dept_ID | Primary Key
dept_name | Varchar
emp_id | Foreign Key
Manager details are already there in the employee table.
I am using Oracle Database.
Employee:
emp_ID emp_name emp_email emp_dept_id
1 Cyrus abc#xyz.com 10
2 Andrew xyz#abc.com 20
3 Mark xyz#abc.com 10
4 Tony xyz#abc.com 10
5 Elvis xyz#abc.com 20
6 Rock xyz#abc.com 10
7 George xyz#abc.com 20
8 Mary xyz#abc.com 10
9 Thomas xyz#abc.com 20
10 Martin xyz#abc.com 10
Depqartments:
dept_id dept_name emp_id
10 Accounts 4
20 Development 9
These are the data in the tables. In Department table, emp_id(Foreign key) indicates the head/manager of the department .
You can try following query:
SELECT
D.DEPT_ID,
D.DEPT_NAME,
D.EMP_ID AS MANAGER_ID,
E.EMP_NAME AS MANAGER_NAME,
E.EMP_EMAIL AS MANAGER_EMAIL,
E.CNT AS "number of employees"
FROM
DEPARTMENT D
JOIN (
SELECT
EMP_ID,
EMP_NAME,
EMP_EMAIL,
EMP_DEPT_ID,
COUNT(1) OVER(
PARTITION BY EMP_DEPT_ID
) AS CNT
FROM
EMPLOYEE
) E ON ( E.DEPT_ID = D.EMP_DEPT_ID
AND E.EMP_ID = D.EMP_ID );
Cheers!!
This is pretty straightforward. You want to get the department details (1) and also include the employees associated with that department (2).
Get the department details:
SELECT <dept_col1>, <dept_col2>, ...
FROM Department
Get a summary of employees per department:
SELECT dept_ID, <aggregation> AS MyAgg
FROM department
GROUP BY dept_ID
Here you replace <aggregation> with whatever you're trying to find. In your case it would be COUNT(*).
Combine the two results. You want to join the data from (2) to (1). How are these two tables related? Here you write a LEFT JOIN to connect them on the PK/FK relationship:
SELECT
dept.<col1>, dept.<col2>, ...,
COALESCE(emp.MyAgg,0) AS MyAgg
FROM Department dept
LEFT JOIN (
SELECT dept_ID, <aggregation> AS MyAgg
FROM department
GROUP BY dept_ID
) emp ON dept.<FK> = emp.<PK>
Get the department manager's info by adding another LEFT JOIN:
SELECT
dept.<col1>, dept.<col2>, ...,
mgr.<col1>,
COALESCE(emp.MyAgg,0) AS MyAgg -- In case there are 0 employees
FROM Department dept
LEFT JOIN employee mgr ON dept.<FK> = mgr.<PK>
LEFT JOIN (
SELECT dept_ID, <aggregation> AS MyAgg
FROM department
GROUP BY dept_ID
) emp ON dept.<FK> = emp.<PK>
Give it a try and see how far you get. If you get stuck let me know.

SQL - Retrieving data within groups before and after some condition

With the two following tables:
EMPLOYEE (Fname, Lname, SSN, DNO)
DEPARTMENT (Dname, Dnumber)
For each department that has more than five employees, retrieve the
department name and the number of its employees who are making more
than $40,000
Here is an incorrect solution to this:
SELECT
dname,
COUNT(*)
FROM
Department, Employee
WHERE
dnumber = dno
AND salary > 40000
GROUP BY
dname
HAVING
COUNT(*) > 5;
It is clear that it would not list any department that have five or more employees unless they all have more than $40,000 salary, because where is applied before group by clause. which is not what we want.
Here is the correct solution:
SELECT
dname, COUNT(*)
FROM
Department, Employee
WHERE
dnumber = dno
AND salary > 40000
AND dno IN (SELECT dno
FROM Employee
GROUP BY dno
HAVING COUNT(*) > 5)
GROUP BY
dname
I cant see why is this correct?
Isn't it going to restrict the rows first with employees who have more than $40,000, then do the grouping just like the first query? what is different here?
Sub-Query, the basic:
First, let make this query a bit easier to read :
SELECT
dname,
COUNT(*)
FROM
Department,
Employee
WHERE
dnumber = dno
AND salary > 40000
AND dno IN (
SELECT dno
FROM Employee
GROUP BY dno
HAVING COUNT(*) > 5
)
GROUP BY dname
As you can see, there is what we call a "sub-query": a query inside the query.
This is the part in dno IN (/*HERE is the Sub-query*/).
As in mathematics parenthesis are run first, so SQL will go find DNO that have more than 5 employees, producing the following query :
SELECT
dname,
COUNT(*)
FROM
Department,
Employee
WHERE
dnumber = dno
AND salary > 40000
AND dno IN (
'dno10emp', 'dno24emp', 'dno45emp'
)
GROUP BY dname
Now, you find yourself with a simple query that will produce the result:
of department that have a least one employee with >40k$ salary
and are part of the department with more the 5 employee
What's wrong ?!
Well, I'll said your "good query" isn't that good, and that's why you're struggling: It'll not bring department if they don't have at least one employee with > 40k$.
Here is the query that'll do this :
SELECT
Department.dname,
COUNT(Employee.salary)
FROM
Department
LEFT JOIN Employee
ON Department.dnumber = Employee.dno
AND Employee.salary > 40000
WHERE
Department.dnumber IN (
SELECT Employee.dno
FROM Employee
GROUP BY Employee.dno
HAVING COUNT(*) > 5
)
GROUP BY Department.dname
This will bring you all department that have at least 6 employee, then count the number of employee with at least 40K$ (a department could have 0).
Could you show me ?
As an image worth a thousand word :
SQL Fiddle
MySQL 5.6 Schema Setup:
| dname | nb | salary |
|-------------------|----|--------|
| accounting | 2 | 30000 |
| accounting | 4 | 50000 |
| boss | 6 | 150000 |
| garbage-collector | 6 | 15000 |
Query 1:
SELECT
dname,
COUNT(*)
FROM
Department,
Employee
WHERE
dnumber = dno
AND salary > 40000
GROUP BY dname
HAVING COUNT(*) > 5
Results:
| dname | COUNT(*) |
|-------|----------|
| boss | 6 |
Query 2:
SELECT
dname,
COUNT(*)
FROM
Department,
Employee
WHERE
dnumber = dno
AND salary > 40000
AND
dno IN (
SELECT dno FROM Employee
GROUP BY dno
HAVING COUNT(*) > 5
)
GROUP BY dname
Results:
| dname | COUNT(*) |
|------------|----------|
| accounting | 4 |
| boss | 6 |
Query 3:
SELECT
Department.dname,
COUNT(Employee.salary)
FROM
Department
LEFT JOIN Employee
ON Department.dnumber = Employee.dno
AND Employee.salary > 40000
WHERE
Department.dnumber IN (
SELECT Employee.dno
FROM Employee
GROUP BY Employee.dno
HAVING COUNT(*) > 5
)
GROUP BY Department.dname
Results:
| dname | COUNT(Employee.salary) |
|-------------------|------------------------|
| accounting | 4 |
| boss | 6 |
| garbage-collector | 0 |
See sample data below.
http://sqlfiddle.com/#!9/357d29/2
The first query will only get departments with 6 or more highy paid employees WHILE the 2nd query will get highly paid employees of those departments with 6 or more employees. Below sample will not show in the 1st query but will show in the 2nd query.
Department Employee Salary
accounting john doe 50k
jan smith 55k
dan brown 60k
eric murphy 60k
al daniels 70k
ellen boyle 30k
1st query: nothing because only five emp have > 40k salary
2nd query: All except ellen boyle. Department has > 5 employees and all except 1 has > 40k salary
For the record, you already got correct answers. I'll just try to explain it in a different way.
Your first query has 1 select statement. It only returns employees with salary > 40k and from departments > 5 employees. Every record will only contain information about an employee with salary > 40k and from departments > 5 employees.
Your second query has 2 select statements:
This is the first one:
Select dname, count(*)
from Department, Employee
where dnumber = dno
and salary > 40000
it returns the count of all employees, by department name who earn > 40000. There are no conditions on the count(*) here. And the condition on the salary has no power over the second select statement:
SELECT Employee.dno
FROM Employee
GROUP BY Employee.dno
HAVING COUNT(*) > 5
This one returns ALL employees in all departments. This is where we have the condition on the count(*) - but it is only applied locally, to limit the number of employees per department.
And then two statements are joined together - so, first we limit the departments to the ones we are interested in, and then from those only select high-salary employees.
First, never use commas in the FROM clause. Always use proper, explicit JOIN syntax.
I think the best and simplest solution uses conditional aggregation:
SELECT d.dname, SUM(CASE WHEN e.salary > 40000 THEN 1 ELSE 0 END) as num_40kplus
FROM Department d JOIN
Employee e
ON d.dno = e.dnumber
GROUP BY dname
HAVING COUNT(*) > 5;
I see no reason why a subquery would be necessary or desirable.

Retrieving MAX(date) value from joined table

I need help on a very basic SQL join concept, that I just can't seem to get right.
I have an employee table and a position table. The employee table is like so:
EmpID Name
1 Jane Jones
2 Bob Smith
3 Jim Adams
The position table is like this:
PosID EmpID Position DateFilled
1 1 Sales 1/2/2012
2 2 HR 4/5/2013
3 2 Mgmnt 6/1/2014
4 2 Sr. Mgmnt 7/5/2015
5 3 IT Support 4/6/2014
6 3 IT Devel. 5/11/2015
How can I get the following output:
EmpID Name Position DateFilled
1 Jane Jones Sales 1/2/2012
2 Bob Smith Sr. Mgmnt 7/5/2015
3 Jim Adams IT Devel. 5/11/2015
So, in other words, how do I join to get only the record with the max DateFilled column from the position table to join with the corresponding record in the employee table?
Any assistance would be greatly appreciated.
You can use ROW_NUMBER:
SELECT e.EmpID, e.Name, p.Position, p.DateFilled
FROM employee e
LEFT JOIN (
SELECT EmpID, Position, DateFilled,
ROW_NUMBER() OVER (PARTITION BY EmpID
ORDER BY DateFilled DESC) AS rn
FROM position
) p ON e.EmpID = p.EmpID AND p.rn = 1
You can do it using MAX() KEEP ( DENSE_RANK [FIRST|LAST] ... ) like this:
SELECT e.EmpId,
e.Name,
p.position,
p.datefilled
FROM employee e
INNER JOIN (
SELECT EmpID,
MAX( Position ) KEEP ( DENSE_RANK LAST ORDER BY DateFilled ) AS Position,
MAX( DateFilled ) AS DateFilled
FROM position
GROUP BY EmpID
) p
ON ( e.EmpId = p.EmpID );
try this
select temp.EmpID,(select position from Position where PosID =temp.PosID) position,DateFilled,Name from
(select EmpID,max(PosID) PosID,max(DateFilled) DateFilled
from position group by EmpID ) temp
inner join employee emp on emp.EmpID =temp.EmpID

sql query for getting data from two related tables

I have two tables, employee and inventory. One employee can have zero or more inventories.
I would like to list employee information along with at most one inventory information
and count of inventories belongs to one employee.
employee table
emp_num last_name first_name
-----------------------------------
100 john smith
101 mike pet
102 jes lyoid
inventory table
inv_num emp_num
---------------------------
12 100
13 100
15 100
30 102
desired Output
emp_num last_name invnum count(inv_num)
--------------------------------------------------------------------------
100 john 12 3
101 mike - 0
102 jes 30 1
What sql query can I use in this case?
Try this:
SELECT emp_num, last_name, MAX(inv_num) AS invnum, COUNT(inv_num) AS inv_count
FROM employee e LEFT OUTER JOIN inventory i ON e.emp_num = i.emp_num
GROUP BY e.emp_num, e.last_name
You could do something like this
Select E.Emp_Num,
e.Last_name,
MIN(Inv_Num) AS OldestInv,
COUNT(Inv_Num) AS TotalInv
FROM Employee E
LEFT OUTER JOIN Inventory I
(E.Emp_Num = I.Emp_Num)
GROUP BY E.Emp_Num, E.Last_Name
This will give you the minimum invoice number and the total count. The left outer join is the key
SELECT
e.emp_num,
e.last_name,
IFNULL(MAX(i.inv_num),'-') AS 'invnum',
COUNT(i.inv_num) AS 'count(inv_num)'
FROM
employee e LEFT JOIN inventory i
ON e.emp_num = i.emp_num
GROUP BY
e.emp_num, e.last_name

select dept names who have more than 2 employees whose salary is greater than 1000

How would do the following in SQL
"select dept names who have more than 2 employees whose salary is greater than 1000" ?
DeptId DeptName
------ --------
1 one
2 two
3 three
EmpId DeptId Salary
----- ------ ------
121 1 2000
122 1 2000
123 1 5000
124 1 4000
131 2 2000
132 2 6000
133 2 1000
134 2 1000
125 3 1000
126 3 20000
RESULT: one
How about something like this?
SELECT D.DeptName FROM
Department D WHERE (SELECT COUNT(*)
FROM Employee E
WHERE E.DeptID = D.DeptID AND
E.Salary > 1000) > 2
SELECT DEPTNAME
FROM(SELECT D.DEPTNAME,COUNT(EMPID) AS TOTEMP
FROM DEPT AS D,EMPLOYEE AS E
WHERE D.DEPTID=E.DEPTID AND SALARY>1000
GROUP BY D.DEPTID
)
WHERE TOTEMP>2;
select min(DEPARTMENT.DeptName) as deptname
from DEPARTMENT
inner join employee on
DEPARTMENT.DeptId = employee.DeptId
where Salary > 1000
group by (EmpId) having count(EmpId) > =2
hope this helps
select DeptName from DEPARTMENT inner join EMPLOYEE using (DeptId) where Salary>1000 group by DeptName having count(*)>2
select D.DeptName from [Department] D where D.DeptID in
(
select E.DeptId from [Employee] E
where E.Salary > 1000
group by E.DeptId
having count(*) > 2
)
select deptname from dept_1
where exists
(
SELECT DeptId,COUNT(*)
FROM emp_1
where salary>1000
and emp_1.deptid=dept_1.deptid
GROUP BY DeptId
having count(*)>2)
1:list name of all employee who earn more than RS.100000 in a year.
2:give the name of employee who earn heads the department where employee with employee I.D
My main advice would be to steer clear of the HAVING clause (see below):
WITH HighEarners AS
( SELECT EmpId, DeptId
FROM EMPLOYEE
WHERE Salary > 1000 ),
DeptmentHighEarnerTallies AS
( SELECT DeptId, COUNT(*) AS HighEarnerTally
FROM HighEarners
GROUP
BY DeptId )
SELECT DeptName
FROM DEPARTMENT NATURAL JOIN DeptmentHighEarnerTallies
WHERE HighEarnerTally > 2;
The very early SQL implementations lacked derived tables and HAVING was a workaround for one of its most obvious drawbacks (how to select on the result of a set function from the SELECT clause). Once derived tables had become a thing, the need for HAVING went away. Sadly, HAVING itself didn't go away (and never will) because nothing is ever removed from standard SQL. There is no need to learn HAVING and I encourage fledgling coders to avoid using this historical hangover.