Hi I was wondering if there is a way to get a cumulative and non-cumulative total in the same query. I have a table with following fields:
Department, SalesPerson, fin_month, activity, cost
What I would like is have two sums, one that would give a monthly total for salesperson, and another giving a year to date total. I am having a problem setting two different where criteria to get it to work.
Many Thanks
Would something like this help?
SELECT
*
FROM
(
SELECT
Department, SalesPerson
, SUM(fin_month) SalesPerson_Sum
FROM
[TABLE_NAME]
GROUP BY Department, SalesPerson
) a
INNER JOIN
(
SELECT
Department
, SUM(fin_month) AS Department_Sum
FROM
[TABLE_NAME]
GROuP BY
Department
) b
ON
a.Department = b.Department
This solution uses CTEs, recursion, and ranking to obtain cumulative totals for every fin_month per SalesPerson in every Department based on the corresponding monthly totals.
;WITH
monthlytotals AS (
SELECT
Department,
SalesPerson,
fin_month,
MonthlyTotal = SUM(cost),
rn = ROW_NUMBER() OVER (PARTITION BY Department, SalesPerson
ORDER BY fin_month)
FROM atable
GROUP BY Department, SalesPerson, fin_month
),
alltotals AS (
SELECT
Department,
SalesPerson,
fin_month,
MonthlyTotal,
CumulativeTotal = MonthlyTotal,
rn
FROM monthlytotals
WHERE rn = 1
UNION ALL
SELECT
m.Department,
m.SalesPerson,
m.fin_month,
m.MonthlyTotal,
CumulativeTotal = a.CumulativeTotals + m.MonthlyTotal,
m.rn
FROM monthlytotals m
INNER JOIN alltotals a
ON m.Department = a.Department
AND m.SalesPerson = a.SalesPerson
AND m.rn = a.rn + 1
)
SELECT
Department,
SalesPerson,
fin_month,
MonthlyTotal,
CumulativeTotal
FROM alltotals
Related
Any thoughts on why the following doesn't work.
The Table is called Incomes, it has 3 cols called, name, dept and salary. I want to get the name and salary of personnel in the marketing dept whose salary is less than the average salary of all employees.
When I run the following I get ERROR 1111.
SELECT name, salary
FROM income
WHERE dept = "marketing"
HAVING salary < AVG(salary)
You must use a subquery in the WHERE clause that returns the average:
SELECT name, salary
FROM income
WHERE dept = 'marketing'
AND salary < (SELECT AVG(salary) FROM income WHERE dept = 'marketing')
If by all employees you mean the average salary of employees of all departments, then remove WHERE dept = 'marketing' from the subquery.
As an alternative to putting the subquery in the WHERE clause, we could use an inline view:
SELECT t.name
, t.salary
FROM ( SELECT AVG(d.salary) AS avg_salary
FROM income d
WHERE d.dept = 'marketing'
) a
JOIN income t
ON t.salary > a.avg_salary
AND t.dept = 'marketing'
With the inline view, we can also return the average salary, and we can calculate the difference, even a percentage difference, for multiple departments
Expanding on the query a bit, something like this:
SELECT a.dept
, t.name
, t.salary
, a.avg_salary
, ((t.salary - a.avg_salary) / a.avg_salary) * 100.0 AS pct_greater
FROM ( SELECT d.dept
, AVG(d.salary) AS avg_salary
FROM income d
GROUP
BY d.dept
) a
JOIN income t
AND t.dept = a.dept
ON t.salary > a.avg_salary
ORDER
BY a.dept
, t.salary DESC
I have a salary table in which I am trying to return determine the lowest salary earned and by which industry for each year however despite getting the correct lowest salary earned I am receiving the wrong industry name.
I am aware that it is due to the fact that I have utilized GROUP BY without placing a constraint(?) on it hence it is returning me the wrong value but I am not sure how I can solve it.
SALARY TABLE
salaryID
salaryAmount
salaryYear
industryName (ForeignKey)
Can someone please guide me on the right path?
**(Problem Code)**
SELECT MIN(S.salary), S.industryName, S.salaryYear
FROM salary
GROUP BY S.salaryYear;
**(Attempted solution)**
SELECT S.salary
FROM salary
INNER JOIN
SELECT (min(S1.amount)), S1.year, S1.industryName, S1.salaryId
FROM salary S1
GROUP BY S1.year
ON S.salaryId = S1.salaryId);
Use a proper GROUP BY. Any non-aggregated columns must be included in GROUP BY.
SELECT MIN(amount), year
FROM salary
GROUP BY year
If you want to include industryName,
SELECT amount, year, industryName, salaryId
FROM (
SELECT amount, year, industryName, salaryId
, ROW_NUMBER() OVER(PARTITION BY year ORDER BY amount) AS rn
FROM salary
) a
WHERE rn = 1
Pre-MySQL 8 version
SELECT *
FROM salary s
INNER JOIN (
SELECT MIN(amount) AS minAmount, year
FROM salary
GROUP BY year
) m ON m.minAmount = s.amount AND m.year = s.year
I think you need a self-join :
SELECT s1.industryName, s2.min_salary, s2.salaryYear
FROM salary s1
JOIN
(
SELECT MIN(salary) as min_salary, salaryYear
FROM salary
GROUP BY salaryYear
) s2
ON s1.salary = s2.min_salary
AND s1.salaryYear = s2.salaryYear;
The Demo of this query with your sample data
I want to find name of that persons who worked most in a month. but the query doesn't returning max value from sum of value
I'm new in mysql
SELECT
x.name,
sec_to_time(MAX(x.sum_time)) maximum
FROM (
SELECT
name,
SUM(TIME_TO_SEC(ending_time) - TIME_TO_SEC(starting_time)) sum_time
FROM working_hours wh, employees
WHERE wh.employees_id = employees.id
AND project_id IS NOT NULL
GROUP BY employees_id
) x
GROUP BY x.name;
this is my query. i want to show just name of that persons who worked most in a month. but it returns all persons who worked in a month
Try making these changes to your query:
change name to MAX(name)
qualify employees_id with wh.employees_id
SELECT
x.name,
sec_to_time(MAX(x.sum_time)) maximum
FROM (
SELECT
MAX(name) AS name,
SUM(TIME_TO_SEC(ending_time) - TIME_TO_SEC(starting_time)) sum_time
FROM working_hours wh, employees
WHERE wh.employees_id = employees.id
AND project_id IS NOT NULL
GROUP BY wh.employees_id
) x
group by x.name;
Simply use Order by LIMIT -
SELECT X1.name, X1.maximum
FROM (SELECT name, SUM(TIME_TO_SEC(ending_time) - TIME_TO_SEC(starting_time)) maximum
FROM working_hours wh, employees
WHERE wh.employees_id=employees.id
GROUP BY name) X1
JOIN (SELECT SUM(TIME_TO_SEC(ending_time) - TIME_TO_SEC(starting_time)) sum_time
FROM working_hours wh, employees
WHERE wh.employees_id=employees.id
AND project_id is not null
GROUP BY employees_id
ORDER BY sum_time DESC
LIMIT 1) X2 ON X2.sum_time = X1.maximum;
I am looking for queries, using which I can analyze a general employee database. This is for Data Analysis.
Tried this for monthly employee trend
SELECT
dt.FullDateAlternateKey as 'Date'
, count(1) as ActiveCount
FROM DimDate dt
LEFT JOIN (SELECT 'Active' as 'EmpStatus', * FROM DimEmployee) emp
-- regular active employees
ON (dt.FullDateAlternateKey between emp.StartDate and ISNULL(emp.EndDate,'9999-12-31'))
WHERE
dt.FullDateAlternateKey = EOMONTH(dt.FullDateAlternateKey)
GROUP BY
dt.FullDateAlternateKey
ORDER BY
1;
also found CTE use for finding employee hierarchy
WITH DirectReports (ManagerID, EmployeeID, Title, DeptID, Level)
AS
(
-- Anchor member definition
SELECT e.ParentEmployeeKey, e.EmployeeKey, e.Title, e.DepartmentName,
0 AS Level
FROM DimEmployee AS e
WHERE e.ParentEmployeeKey IS NULL
UNION ALL
-- Recursive member definition
SELECT e.ParentEmployeeKey, e.EmployeeKey, e.Title, e.DepartmentName,
Level + 1
FROM DimEmployee AS e
INNER JOIN DirectReports AS d
ON e.ParentEmployeeKey = d.EmployeeID
)
-- Statement that executes the CTE
SELECT ManagerID, EmployeeID, Title, DeptID, Level
FROM DirectReports
WHERE DeptID = 'Information Services' OR Level = 0
also, some good queries to analyze the sales data
-- Show each sales average for Group, Country, and Region all in one query
SELECT DISTINCT
t.SalesTerritoryGroup
, t.SalesTerritoryCountry
, t.SalesTerritoryRegion
, AVG(s.SalesAmount) OVER(PARTITION BY t.SalesTerritoryGroup ) as 'GroupAvgSales'
, AVG(s.SalesAmount) OVER(PARTITION BY t.SalesTerritoryCountry ) as 'CountryAvgSales'
, AVG(s.SalesAmount) OVER(PARTITION BY t.SalesTerritoryRegion ) as 'RegionAvgSales'
FROM FactInternetSales s
JOIN DimSalesTerritory t ON
s.SalesTerritoryKey = t.SalesTerritoryKey
WHERE
YEAR(s.OrderDate) = 2013
ORDER BY
1,2,3
Use additional aggregations to understand more about product sales such as the distribution of sales etc..
SELECT
cat.EnglishProductCategoryName 'Category'
, sub.EnglishProductSubcategoryName 'SubCategory'
, count(1) 'Count' -- How many sales where there?
, sum(s.SalesAmount) 'Sales' -- How much sales did we have?
, avg(s.SalesAmount) 'Avg_SalesAmount' -- What was the Avg sale amount?
, min(s.SalesAmount) 'Min_SaleAmount' -- What was the Min sale amount?
, max(s.SalesAmount) 'Max_SaleAmount' -- What was the Max sale amount
FROM FactInternetSales s
LEFT JOIN DimProduct p ON s.ProductKey = p.ProductKey
LEFT JOIN DimProductSubcategory sub ON p.ProductSubcategoryKey = sub.ProductSubcategoryKey
LEFT JOIN DimProductCategory cat ON sub.ProductCategoryKey = cat.ProductCategoryKey
-- must use group by in order for aggregation to work properly
GROUP BY
cat.EnglishProductCategoryName -- column aliases aren't allowed
, sub.EnglishProductSubcategoryName
ORDER BY
cat.EnglishProductCategoryName
, sub.EnglishProductSubcategoryName
-- Calculate the customer acquisition funnel
SELECT
c.FirstName
, c.LastName
, c.DateFirstPurchase
, DATEDIFF(d,c.DateFirstPurchase,getdate()) as 'DaysSinceFirstPurchase' -- How long have they been a customer?
FROM DimCustomer c
ORDER BY 3 DESC
-- Calculate a Monthly average of customer tenure
SELECT
EOMONTH(c.DateFirstPurchase) as 'MonthOfFirstPurchase' -- What month did they become a customer?
, DATEDIFF(d,EOMONTH(c.DateFirstPurchase),getdate()) as 'DaysSinceFirstPurchase' -- How long have they been a customer?
, COUNT(1) as 'CustomerCount' -- How manY customers are there for this month?
FROM DimCustomer c
GROUP BY EOMONTH(c.DateFirstPurchase)
ORDER BY 2 DESC
-- Show the top product Sub Categories for each year
SELECT
count(DISTINCT s.SalesOrderNumber) 'OrderCount' -- use 1 instead of a field for faster performance
, RANK() OVER (PARTITION BY YEAR(s.OrderDate) ORDER BY sum(s.SalesAmount) DESC) 'SalesRank'
, sum(s.SalesAmount) 'TotalSales'
, cat.EnglishProductCategoryName 'Category'
, sub.EnglishProductSubcategoryName 'SubCategory'
, YEAR(s.OrderDate) 'Year'
FROM FactInternetSales s
INNER JOIN DimProduct p ON s.ProductKey = p.ProductKey
INNER JOIN DimProductSubcategory sub ON p.ProductSubcategoryKey = sub.ProductSubcategoryKey
INNER JOIN DimProductCategory cat ON sub.ProductCategoryKey = cat.ProductCategoryKey
-- must use group by in order for aggregation to work properly
GROUP BY
cat.EnglishProductCategoryName -- column aliases aren't allowed
, sub.EnglishProductSubcategoryName
, YEAR(s.OrderDate)
ORDER BY YEAR(s.OrderDate), SUM(s.SalesAmount) DESC;
-- first, create weekly sales totals
SELECT SUM(s.SalesAmount) 'WeeklySales'
, DATEPART(ww, s.OrderDate) as 'WeekNum'
FROM FactInternetSales s
WHERE YEAR(s.OrderDate) = 2013
GROUP BY
DATEPART(ww, s.OrderDate)
ORDER BY
DATEPART(ww, s.OrderDate) ASC
-- use that subquery as our source and calculate the moving average
SELECT
AVG(WeeklySales) OVER (ORDER BY WeekNum ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as AvgSales
, WeeklySales as 'TotalSales'
, WeekNum
FROM (
SELECT SUM(s.SalesAmount) 'WeeklySales'
, DATEPART(ww, s.OrderDate) as 'WeekNum'
FROM FactInternetSales s
WHERE YEAR(s.OrderDate) = 2013
GROUP BY
DATEPART(ww, s.OrderDate)
) AS s
GROUP BY
WeekNum, WeeklySales
ORDER BY
WeekNum ASC
-- Running Total
SELECT
SUM(MonthlySales) OVER (PARTITION BY SalesYear ORDER BY SalesMonth ROWS UNBOUNDED PRECEDING) as YTDSales
, MonthlySales as 'MonthlySales'
, SalesYear
, SalesMonth
FROM (
SELECT SUM(s.SalesAmount) 'MonthlySales'
, MONTH(s.OrderDate) as 'SalesMonth'
, year(s.OrderDate) as 'SalesYear'
FROM FactInternetSales s
GROUP BY
MONTH(s.OrderDate)
, year(s.OrderDate)
) AS s
GROUP BY
SalesMonth, SalesYear, MonthlySales
ORDER BY
SalesYear, SalesMonth ASC
-- Get Prev Year Sales
WITH MonthlySales (YearNum, MonthNum, Sales)
AS
(
SELECT d.CalendarYear, d.MonthNumberOfYear, SUM(s.SalesAmount)
FROM DimDate d
JOIN FactInternetSales s ON d.DateKey = s.OrderDateKey
GROUP BY d.CalendarYear, d.MonthNumberOfYear
)
-- Get Current Year and join to CTE for previous year
SELECT
d.CalendarYear
, d.MonthNumberOfYear
, ms.Sales PrevSales
, SUM(s.SalesAmount) CurrentSales
FROM DimDate d
JOIN FactInternetSales s ON d.DateKey = s.OrderDateKey
JOIN MonthlySales ms ON
d.CalendarYear-1 = ms.YearNum AND
d.MonthNumberOfYear = ms.MonthNum
GROUP BY
d.CalendarYear
, d.MonthNumberOfYear
, ms.Sales
ORDER BY
1 DESC, 2 DESC
-- Now calculate the % change Year over Year
WITH MonthlySales (YearNum, MonthNum, Sales)
AS
(
SELECT d.CalendarYear, d.MonthNumberOfYear, SUM(s.SalesAmount)
FROM DimDate d
JOIN FactInternetSales s ON d.DateKey = s.OrderDateKey
GROUP BY d.CalendarYear, d.MonthNumberOfYear
)
-- Get Current Year and join to CTE for previous year
SELECT
d.CalendarYear
, d.MonthNumberOfYear
, ms.Sales PrevSales
, SUM(s.SalesAmount) CurrentSales
, (SUM(s.SalesAmount) - ms.Sales) / SUM(s.SalesAmount) 'PctGrowth'
FROM DimDate d
JOIN FactInternetSales s ON d.DateKey = s.OrderDateKey
JOIN MonthlySales ms ON
d.CalendarYear-1 = ms.YearNum AND
d.MonthNumberOfYear = ms.MonthNum
GROUP BY
d.CalendarYear
, d.MonthNumberOfYear
, ms.Sales
ORDER BY
1 DESC, 2 DESC
I have a table with 3 columns:
Name department salary
How can I determine using one query to find 3rd highest salary in each department?
One way is to LIMIT a correlated subquery, but it's not especially efficient:
SELECT department, (
SELECT salary
FROM my_table t2
WHERE t2.department = t1.department
ORDER BY salary DESC
LIMIT 2, 1
)
FROM my_table t1
GROUP BY department
In addition to eggyal's excellent answer, here's a query that will give you the names, too, of those that have salary equal to the third (in each department):
SELECT
t.name, t.department, t.salary AS third_salary
FROM
( SELECT DISTINCT department
FROM tableX
) AS d
JOIN
tableX AS t
ON t.department = d.department
AND t.salary =
( SELECT tt.salary -- notice that this
FROM tableX AS tt -- subquery is
WHERE tt.department = d.department -- exactly the same as
ORDER BY tt.salary DESC -- the one in
LIMIT 1 OFFSET 2 -- #eggyal's answer
) ;
This RANK question is similar to this one:
MySQL, Get users rank
I you can thy this:
SELECT s.*,
(
SELECT COUNT(*)
FROM salaries si
WHERE si.salary >= s.salary AND si.department = s.department
) AS rank
FROM salaries s
WHERE s.rank = 3
Try this:
SELECT name, department, salary
FROM (SELECT name, department, salary, IF(#dept=(#dept:=department), #auto:=#auto+1, #auto:=1) indx
FROM employee e, (SELECT #dept:=0, #auto:=1) A
ORDER BY department, salary DESC ) AS A
WHERE indx = 3;