AdventureWorks Database: Calculate sales targets per month for salespeople
SQL Query - AdventureWorks: Exercise-140 with Solution
140. From the following tables write a query in SQL to calculate sales targets per month for salespeople.
Sample table: Sales.SalesPerson
businessentityid|territoryid|salesquota|bonus|commissionpct|salesytd |saleslastyear|rowguid |modifieddate |
----------------+-----------+----------+-----+-------------+------------+-------------+------------------------------------+-----------------------+
274| | | 0| 0| 559697.5639| 0|48754992-9ee0-4c0e-8c94-9451604e3e02|2010-12-28 00:00:00.000|
275| 2| 300000| 4100| 0.012|3763178.1787| 1750406.4785|1e0a7274-3064-4f58-88ee-4c6586c87169|2011-05-24 00:00:00.000|
276| 4| 250000| 2000| 0.015|4251368.5497| 1439156.0291|4dd9eee4-8e81-4f8c-af97-683394c1f7c0|2011-05-24 00:00:00.000|
277| 3| 250000| 2500| 0.015|3189418.3662| 1997186.2037|39012928-bfec-4242-874d-423162c3f567|2011-05-24 00:00:00.000|
278| 6| 250000| 500| 0.01|1453719.4653| 1620276.8966|7a0ae1ab-b283-40f9-91d1-167abf06d720|2011-05-24 00:00:00.000|
279| 5| 300000| 6700| 0.01| 2315185.611| 1849640.9418|52a5179d-3239-4157-ae29-17e868296dc0|2011-05-24 00:00:00.000|
280| 1| 250000| 5000| 0.01|1352577.1325| 1927059.178|be941a4a-fb50-4947-bda4-bb8972365b08|2011-05-24 00:00:00.000|
281| 4| 250000| 3550| 0.01|2458535.6169| 2073505.9999|35326ddb-7278-4fef-b3ba-ea137b69094e|2011-05-24 00:00:00.000|
282| 6| 250000| 5000| 0.015|2604540.7172| 2038234.6549|31fd7fc1-dc84-4f05-b9a0-762519eacacc|2011-05-24 00:00:00.000|
283| 1| 250000| 3500| 0.012|1573012.9383| 1371635.3158|6bac15b2-8ffb-45a9-b6d5-040e16c2073f|2011-05-24 00:00:00.000|
284| 1| 300000| 3900| 0.019|1576562.1966| 0|ac94ec04-a2dc-43e3-8654-dd0c546abc17|2012-09-23 00:00:00.000|
285| | | 0| 0| 172524.4512| 0|cfdbef27-b1f7-4a56-a878-0221c73bae67|2013-03-07 00:00:00.000|
286| 9| 250000| 5650| 0.018|1421810.9242| 2278548.9776|9b968777-75dc-45bd-a8df-9cdaa72839e1|2013-05-23 00:00:00.000|
287| | | 0| 0| 519905.932| 0|1dd1f689-df74-4149-8600-59555eef154b|2012-04-09 00:00:00.000|
288| 8| 250000| 75| 0.018|1827066.7118| 1307949.7917|224bb25a-62e3-493e-acaf-4f8f5c72396a|2013-05-23 00:00:00.000|
289| 10| 250000| 5150| 0.02|4116871.2277| 1635823.3967|25f6838d-9db4-4833-9ddc-7a24283af1ba|2012-05-23 00:00:00.000|
290| 7| 250000| 985| 0.016|3121616.3202| 2396539.7601|f509e3d4-76c8-42aa-b353-90b7b8db08de|2012-05-23 00:00:00.000|
Sample table: HumanResources.Employee
businessentityid|nationalidnumber|loginid |jobtitle |birthdate |maritalstatus|gender|hiredate |salariedflag|vacationhours|sickleavehours|currentflag|rowguid |modifieddate |organizationnode|
----------------+----------------+----------------------------+----------------------------------------+----------+-------------+------+----------+------------+-------------+--------------+-----------+------------------------------------+-----------------------+----------------+
1|295847284 |adventure-works\ken0 |Chief Executive Officer |1969-01-29|S |M |2009-01-14|true | 99| 69|true |f01251e5-96a3-448d-981e-0f99d789110d|2014-06-30 00:00:00.000|/ |
2|245797967 |adventure-works\terri0 |Vice President of Engineering |1971-08-01|S |F |2008-01-31|true | 1| 20|true |45e8f437-670d-4409-93cb-f9424a40d6ee|2014-06-30 00:00:00.000|/1/ |
3|509647174 |adventure-works\roberto0 |Engineering Manager |1974-11-12|M |M |2007-11-11|true | 2| 21|true |9bbbfb2c-efbb-4217-9ab7-f97689328841|2014-06-30 00:00:00.000|/1/1/ |
4|112457891 |adventure-works\rob0 |Senior Tool Designer |1974-12-23|S |M |2007-12-05|false | 48| 80|true |59747955-87b8-443f-8ed4-f8ad3afdf3a9|2014-06-30 00:00:00.000|/1/1/1/ |
5|695256908 |adventure-works\gail0 |Design Engineer |1952-09-27|M |F |2008-01-06|true | 5| 22|true |ec84ae09-f9b8-4a15-b4a9-6ccbab919b08|2014-06-30 00:00:00.000|/1/1/2/ |
6|998320692 |adventure-works\jossef0 |Design Engineer |1959-03-11|M |M |2008-01-24|true | 6| 23|true |e39056f1-9cd5-478d-8945-14aca7fbdcdd|2014-06-30 00:00:00.000|/1/1/3/ |
7|134969118 |adventure-works\dylan0 |Research and Development Manager |1987-02-24|M |M |2009-02-08|true | 61| 50|true |4f46deca-ef01-41fd-9829-0adab368e431|2014-06-30 00:00:00.000|/1/1/4/ |
8|811994146 |adventure-works\diane1 |Research and Development Engineer |1986-06-05|S |F |2008-12-29|true | 62| 51|true |31112635-663b-4018-b4a2-a685c0bf48a4|2014-06-30 00:00:00.000|/1/1/4/1/ |
9|658797903 |adventure-works\gigi0 |Research and Development Engineer |1979-01-21|M |F |2009-01-16|true | 63| 51|true |50b6cdc6-7570-47ef-9570-48a64b5f2ecf|2014-06-30 00:00:00.000|/1/1/4/2/ |
10|879342154 |adventure-works\michael6 |Research and Development Manager |1984-11-30|M |M |2009-05-03|true | 16| 64|true |eaa43680-5571-40cb-ab1a-3bf68f04459e|2014-06-30 00:00:00.000|/1/1/4/3/ |
-- more --
Sample table: Person.Person
businessentityid|persontype|namestyle|title|firstname |middlename |lastname |suffix|emailpromotion|additionalcontactinfo|demographics|rowguid |modifieddate |
----------------+----------+---------+-----+------------------------+----------------+----------------------+------+--------------+---------------------+------------+------------------------------------+-----------------------+
1|EM |false | |Ken |J |Sánchez | | 0| |[XML] |92c4279f-1207-48a3-8448-4636514eb7e2|2009-01-07 00:00:00.000|
2|EM |false | |Terri |Lee |Duffy | | 1| |[XML] |d8763459-8aa8-47cc-aff7-c9079af79033|2008-01-24 00:00:00.000|
3|EM |false | |Roberto | |Tamburello | | 0| |[XML] |e1a2555e-0828-434b-a33b-6f38136a37de|2007-11-04 00:00:00.000|
4|EM |false | |Rob | |Walters | | 0| |[XML] |f2d7ce06-38b3-4357-805b-f4b6b71c01ff|2007-11-28 00:00:00.000|
5|EM |false |Ms. |Gail |A |Erickson | | 0| |[XML] |f3a3f6b4-ae3b-430c-a754-9f2231ba6fef|2007-12-30 00:00:00.000|
6|EM |false |Mr. |Jossef |H |Goldberg | | 0| |[XML] |0dea28fd-effe-482a-afd3-b7e8f199d56f|2013-12-16 00:00:00.000|
7|EM |false | |Dylan |A |Miller | | 2| |[XML] |c45e8ab8-01be-4b76-b215-820c8368181a|2009-02-01 00:00:00.000|
8|EM |false | |Diane |L |Margheim | | 0| |[XML] |a948e590-4a56-45a9-bc9a-160a1cc9d990|2008-12-22 00:00:00.000|
9|EM |false | |Gigi |N |Matthew | | 0| |[XML] |5fc28c0e-6d36-4252-9846-05caa0b1f6c5|2009-01-09 00:00:00.000|
-- more --
Sample Solution:
-- Selecting columns related to salesperson information along with calculated sales target per month
SELECT
-- Alias for BusinessEntityID as SalesPersonID
s.BusinessEntityID AS SalesPersonID,
-- Selecting the FirstName column from the Person table
FirstName,
-- Selecting the LastName column from the Person table
LastName,
-- Selecting the SalesQuota column from the SalesPerson table
SalesQuota,
-- Calculating the sales target per month by dividing SalesQuota by 12 and labeling it as "Sales Target Per Month"
SalesQuota / 12 AS "Sales Target Per Month"
-- Joining the SalesPerson table with the Employee table based on BusinessEntityID
FROM
Sales.SalesPerson AS s
JOIN
HumanResources.Employee AS e
ON
s.BusinessEntityID = e.BusinessEntityID
-- Joining the Employee table with the Person table based on BusinessEntityID
JOIN
Person.Person AS p
ON
e.BusinessEntityID = p.BusinessEntityID;
Explanation:
- This SQL code selects information about salespersons and calculates their sales target per month.
- The SELECT statement specifies the columns to be included in the result set.
- The aliases SalesPersonID, FirstName, LastName, SalesQuota, and Sales Target Per Month are assigned to the corresponding columns or expressions for better readability.
- The JOIN clauses connect the SalesPerson table with the Employee table and then the Employee table with the Person table based on the BusinessEntityID column to retrieve comprehensive information about salespersons.
- SalesQuota is divided by 12 to calculate the sales target per month.
- The result set will include columns such as SalesPersonID, FirstName, LastName, SalesQuota, and the calculated Sales Target Per Month.
Sample Output:
salespersonid|firstname|lastname |salesquota|Sales Target Per Month|
-------------+---------+-----------------+----------+----------------------+
274|Stephen |Jiang | | |
275|Michael |Blythe | 300000| 25000.000000000000|
276|Linda |Mitchell | 250000| 20833.333333333333|
277|Jillian |Carson | 250000| 20833.333333333333|
278|Garrett |Vargas | 250000| 20833.333333333333|
279|Tsvi |Reiter | 300000| 25000.000000000000|
280|Pamela |Ansman-Wolfe | 250000| 20833.333333333333|
281|Shu |Ito | 250000| 20833.333333333333|
282|José |Saraiva | 250000| 20833.333333333333|
283|David |Campbell | 250000| 20833.333333333333|
284|Tete |Mensa-Annan | 300000| 25000.000000000000|
285|Syed |Abbas | | |
286|Lynn |Tsoflias | 250000| 20833.333333333333|
287|Amy |Alberts | | |
288|Rachel |Valdez | 250000| 20833.333333333333|
289|Jae |Pak | 250000| 20833.333333333333|
290|Ranjit |Varkey Chudukatil| 250000| 20833.333333333333|
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