AdventureWorks Database: Retrieve the salesperson for each PostalCode
21. From the following tables write a query in SQL to retrieve the salesperson for each PostalCode who belongs to a territory and SalesYTD is not zero. Return row numbers of each group of PostalCode, last name, salesytd, postalcode column. Sort the salesytd of each postalcode group in descending order. Shorts the postalcode in ascending order.
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: 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 table: Person.Address
|addressid|addressline1 |addressline2|city |stateprovinceid|postalcode|spatiallocation |rowguid |modifieddate | |---------|--------------------------|------------|-------------|---------------|----------|--------------------------------------------|------------------------------------|-----------------------| |1 |1970 Napa Ct. | |Bothell |79 |98011 |E6100000010CAE8BFC28BCE4474067A89189898A5EC0|9aadcb0d-36cf-483f-84d8-585c2d4ec6e9|2007-12-04 00:00:00.000| |2 |9833 Mt. Dias Blv. | |Bothell |79 |98011 |E6100000010CD6FA851AE6D74740BC262A0A03905EC0|32a54b9e-e034-4bfb-b573-a71cde60d8c0|2008-11-30 00:00:00.000| |3 |7484 Roundtree Drive | |Bothell |79 |98011 |E6100000010C18E304C4ADE14740DA930C7893915EC0|4c506923-6d1b-452c-a07c-baa6f5b142a4|2013-03-07 00:00:00.000| |4 |9539 Glenside Dr | |Bothell |79 |98011 |E6100000010C813A0D5F9FDE474011A5C28A7C955EC0|e5946c78-4bcc-477f-9fa1-cc09de16a880|2009-02-03 00:00:00.000| |5 |1226 Shoe St. | |Bothell |79 |98011 |E6100000010C61C64D8ABBD94740C460EA3FD8855EC0|fbaff937-4a97-4af0-81fd-b849900e9bb0|2008-12-19 00:00:00.000| |6 |1399 Firestone Drive | |Bothell |79 |98011 |E6100000010CE0B4E50458DA47402F12A5F80C975EC0|febf8191-9804-44c8-877a-33fde94f0075|2009-02-13 00:00:00.000| |7 |5672 Hale Dr. | |Bothell |79 |98011 |E6100000010C18E304C4ADE1474011A5C28A7C955EC0|0175a174-6c34-4d41-b3c1-4419cd6a0446|2009-12-11 00:00:00.000| |8 |6387 Scenic Avenue | |Bothell |79 |98011 |E6100000010C0029A5D93BDF4740E248962FD5975EC0|3715e813-4dca-49e0-8f1c-31857d21f269|2008-12-17 00:00:00.000| |9 |8713 Yosemite Ct. | |Bothell |79 |98011 |E6100000010C6A80AD742DDC4740851574F7198C5EC0|268af621-76d7-4c78-9441-144fd139821a|2012-05-30 00:00:00.000| |10 |250 Race Court | |Bothell |79 |98011 |E6100000010C219D64AE1FE4474040862564B7825EC0|0b6b739d-8eb6-4378-8d55-fe196af34c04|2008-12-02 00:00:00.000| -- more --
Sample Solution:
SELECT
-- Using the ROW_NUMBER() window function to assign a unique row number to each row within a partition
ROW_NUMBER() OVER win AS "Row Number",
-- Selecting the last names of salespersons
pp.LastName,
-- Selecting the year-to-date sales amount
sp.SalesYTD,
-- Selecting the postal codes associated with the addresses
pa.PostalCode
FROM Sales.SalesPerson AS sp
INNER JOIN Person.Person AS pp
ON sp.BusinessEntityID = pp.BusinessEntityID
INNER JOIN Person.BusinessEntityAddress AS pba
ON sp.BusinessEntityID = pba.BusinessEntityID
INNER JOIN Person.Address AS pa
ON pba.AddressID = pa.AddressID
-- Filtering the rows based on certain conditions
WHERE sp.TerritoryID IS NOT NULL
AND sp.SalesYTD <> 0
-- Defining a window for the window function
WINDOW win AS (PARTITION BY pa.PostalCode ORDER BY sp.SalesYTD DESC)
-- Sorting the result set by postal code
ORDER BY pa.PostalCode;
or
SELECT
ROW_NUMBER() OVER (PARTITION BY pa.PostalCode ORDER BY sp.SalesYTD DESC) AS "Row Number",
pp.LastName,
sp.SalesYTD,
pa.PostalCode
FROM Sales.SalesPerson AS sp
INNER JOIN Person.Person AS pp
ON sp.BusinessEntityID = pp.BusinessEntityID
INNER JOIN Person.BusinessEntityAddress AS pba
ON sp.BusinessEntityID = pba.BusinessEntityID
INNER JOIN Person.Address AS pa
ON pba.AddressID = pa.AddressID
WHERE sp.TerritoryID IS NOT NULL
AND sp.SalesYTD <> 0
ORDER BY pa.PostalCode;
Explanation:
- The SELECT statement retrieves data from multiple tables.
- ROW_NUMBER() OVER win AS "Row Number": Generates a unique row number for each row within a partition defined by the window function.
- pp.LastName, sp.SalesYTD, pa.PostalCode: Specifies the columns to be retrieved.
- The FROM clause specifies the source tables for the data, including Sales.SalesPerson (aliased as sp), Person.Person (aliased as pp), and Person.Address (aliased as pa).
- The INNER JOIN clauses join the tables based on specific conditions (sp.BusinessEntityID = pp.BusinessEntityID and pa.AddressID = pp.BusinessEntityID).
- The BusinessEntityID is joined to Person.BusinessEntityAddress to establish the relationship with the address.
- The AddressID from Person.BusinessEntityAddress is joined to the AddressID in Person.Address.
- The WHERE clause filters the rows based on certain conditions (TerritoryID IS NOT NULL and SalesYTD <> 0).
- The WINDOW clause defines a window named "win" for the window function, partitioning the data by PostalCode and ordering it by SalesYTD in descending order.
- ORDER BY PostalCode: Sorts the result set by postal code.
Sample Output:
Row Number|lastname |salesytd |postalcode|
----------+-----------------+------------+----------+
1|Mensa-Annan |1576562.1966|02139 |
1|Valdez |1827066.7118|14111 |
1|Tsoflias |1421810.9242|3000 |
1|Varkey Chudukatil|3121616.3202|33000 |
1|Reiter | 2315185.611|38103 |
1|Blythe |3763178.1787|48226 |
1|Carson |3189418.3662|55802 |
1|Mitchell |4251368.5497|84407 |
1|Ito |2458535.6169|94109 |
1|Ansman-Wolfe |1352577.1325|97205 |
1|Campbell |1573012.9383|98004 |
1|Pak |4116871.2277|BA5 3HX |
1|Saraiva |2604540.7172|K4B 1T7 |
1|Vargas |1453719.4653|T2P 2G8 |
SQL AdventureWorks Editor:
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