Other CONCAT_WS SQL function


1. Usage of CONCAT_WS to show full name from employees table

SQL Server Query 1

            
 SELECT EmployeeID, CONCAT_WS(' ', FirstName, LastName) AS FullName FROM Employees;   

Create SQL query with SqlQueryBuilder 1

            
 var (sql1, parameters1) = new SqlQueryBuilder()  
.Select().Columns("EmployeeID", "EmployeeID")
.Column(new CONCAT_WS(" ", new Column("FirstName"), new Column("LastName")), "FullName")
.From("Employees")
.Build();

Query build by SqlQueryBuilder 1

            
SELECT EmployeeID,
       EmployeeID,
       CONCAT_WS(@pMAIN_2507200159531532200, FirstName, LastName) AS FullName
FROM Employees;


            
        

Parameters (If used)

Name Value
@pMAIN_2507200159531532200

Query Results 1:

  EmployeeID FullName
1 1 Nancy Davolio
2 2 Andrew Fuller
3 3 Janet Leverling
4 4 Margaret Peacock
5 5 Steven Buchanan
6 6 Michael Suyama
7 7 Robert King
8 8 Laura Callahan
9 9 Anne Dodsworth


2. Usage of CONCAT_WS to create customer identifier

SQL Server Query 2

            
 SELECT CONCAT_WS(' - ', CustomerID, CompanyName) AS CustomerIdentifier FROM Customers;   

Create SQL query with SqlQueryBuilder 2

            
 var (sql2, parameters2) = new SqlQueryBuilder()  
.Select()
.Column(new CONCAT_WS(" ", new Column("CustomerID"), new Column("CompanyName")), "CustomerIdentifier")
.From("Customers")
.Build();

Query build by SqlQueryBuilder 2

            
SELECT CONCAT_WS(@pMAIN_2507200159531571770, CustomerID, CompanyName) AS CustomerIdentifier
FROM Customers;


            
        

Parameters (If used)

Name Value
@pMAIN_2507200159531571770

Query Results 2:

  CustomerIdentifier
1 ALFKI Alfreds Futterkiste
2 ANATR Ana Trujillo Emparedados y helados
3 ANTON Antonio Moreno Taquería
4 AROUT Around the Horn
5 BERGS Berglunds snabbköp
6 BLAUS Blauer See Delikatessen
7 BLONP Blondesddsl père et fils
8 BOLID Bólido Comidas preparadas
9 BONAP Bon app'
10 BOTTM Bottom-Dollar Markets
11 BSBEV B's Beverages
12 CACTU Cactus Comidas para llevar
13 CENTC Centro comercial Moctezuma
14 CHOPS Chop-suey Chinese
15 COMMI Comércio Mineiro
16 CONSH Consolidated Holdings
17 WANDK Die Wandernde Kuh
18 DRACD Drachenblut Delikatessen
19 DUMON Du monde entier
20 EASTC Eastern Connection
21 ERNSH Ernst Handel
22 FAMIA Familia Arquibaldo
23 FISSA FISSA Fabrica Inter. Salchichas S.A.
24 FOLIG Folies gourmandes
25 FOLKO Folk och fä HB
26 FRANR France restauration
27 FRANS Franchi S.p.A.
28 FRANK Frankenversand
29 FURIB Furia Bacalhau e Frutos do Mar
30 GALED Galería del gastrónomo
31 GODOS Godos Cocina Típica
32 GOURL Gourmet Lanchonetes
33 GREAL Great Lakes Food Market
34 GROSR GROSELLA-Restaurante
35 HANAR Hanari Carnes
36 HILAA HILARION-Abastos
37 HUNGC Hungry Coyote Import Store
38 HUNGO Hungry Owl All-Night Grocers
39 ISLAT Island Trading
40 KOENE Königlich Essen
41 LACOR La corne d'abondance
42 LAMAI La maison d'Asie
43 LAUGB Laughing Bacchus Wine Cellars
44 LAZYK Lazy K Kountry Store
45 LEHMS Lehmanns Marktstand
46 LETSS Let's Stop N Shop
47 LILAS LILA-Supermercado
48 LINOD LINO-Delicateses
49 LONEP Lonesome Pine Restaurant
50 MAGAA Magazzini Alimentari Riuniti
51 MAISD Maison Dewey
52 MEREP Mère Paillarde
53 MORGK Morgenstern Gesundkost
54 NORTS North/South
55 OCEAN Océano Atlántico Ltda.
56 OLDWO Old World Delicatessen
57 OTTIK Ottilies Käseladen
58 PARIS Paris spécialités
59 PERIC Pericles Comidas clásicas
60 PICCO Piccolo und mehr
61 PRINI Princesa Isabel Vinhos
62 QUEDE Que Delícia
63 QUEEN Queen Cozinha
64 QUICK QUICK-Stop
65 RANCH Rancho grande
66 RATTC Rattlesnake Canyon Grocery
67 REGGC Reggiani Caseifici
68 RICAR Ricardo Adocicados
69 RICSU Richter Supermarkt
70 ROMEY Romero y tomillo
71 SANTG Santé Gourmet
72 SAVEA Save-a-lot Markets
73 SEVES Seven Seas Imports
74 SIMOB Simons bistro
75 SPECD Spécialités du monde
76 SPLIR Split Rail Beer & Ale
77 SUPRD Suprêmes délices
78 THEBI The Big Cheese
79 THECR The Cracker Box
80 TOMSP Toms Spezialitäten
81 TORTU Tortuga Restaurante
82 TRADH Tradição Hipermercados
83 TRAIH Trail's Head Gourmet Provisioners
84 VAFFE Vaffeljernet
85 VICTE Victuailles en stock
86 VINET Vins et alcools Chevalier
87 WARTH Wartian Herkku
88 WELLI Wellington Importadora
89 WHITC White Clover Markets
90 WILMK Wilman Kala
91 WOLZA Wolski Zajazd


3. Usage of CONCAT_WS to format customer address

SQL Server Query 3

            
 SELECT CustomerID, CONCAT_WS(', ', Address, City, Region, PostalCode, Country) AS CustomerAddress   
FROM Customers;

Create SQL query with SqlQueryBuilder 3

            
 var (sql3, parameters3) = new SqlQueryBuilder()  
.Select().Column("CustomerID", "CustomerID")
.Column(new CONCAT_WS(", ", new Column("Address"), new Column("City"), new Column("Region"),
new Column("PostalCode"), new Column("Country")), "CustomerAddress")
.From("Customers")
.Build();

Query build by SqlQueryBuilder 3

            
SELECT CustomerID AS CustomerID,
       CONCAT_WS(@pMAIN_2507200159531603490, Address, City, Region, PostalCode, Country) AS CustomerAddress
FROM Customers;


            
        

Parameters (If used)

Name Value
@pMAIN_2507200159531603490 ,

Query Results 3:

  CustomerID CustomerAddress
1 ALFKI Obere Str. 57, Berlin, 12209, Germany
2 ANATR Avda. de la Constitución 2222, México D.F., 05021, Mexico
3 ANTON Mataderos 2312, México D.F., 05023, Mexico
4 AROUT 120 Hanover Sq., London, WA1 1DP, UK
5 BERGS Berguvsvägen 8, Luleå, S-958 22, Sweden
6 BLAUS Forsterstr. 57, Mannheim, 68306, Germany
7 BLONP 24, place Kléber, Strasbourg, 67000, France
8 BOLID C/ Araquil, 67, Madrid, 28023, Spain
9 BONAP 12, rue des Bouchers, Marseille, 13008, France
10 BOTTM 23 Tsawassen Blvd., Tsawassen, BC, T2F 8M4, Canada
11 BSBEV Fauntleroy Circus, London, EC2 5NT, UK
12 CACTU Cerrito 333, Buenos Aires, 1010, Argentina
13 CENTC Sierras de Granada 9993, México D.F., 05022, Mexico
14 CHOPS Hauptstr. 29, Bern, 3012, Switzerland
15 COMMI Av. dos Lusíadas, 23, Sao Paulo, SP, 05432-043, Brazil
16 CONSH Berkeley Gardens 12 Brewery, London, WX1 6LT, UK
17 DRACD Walserweg 21, Aachen, 52066, Germany
18 DUMON 67, rue des Cinquante Otages, Nantes, 44000, France
19 EASTC 35 King George, London, WX3 6FW, UK
20 ERNSH Kirchgasse 6, Graz, 8010, Austria
21 FAMIA Rua Orós, 92, Sao Paulo, SP, 05442-030, Brazil
22 FISSA C/ Moralzarzal, 86, Madrid, 28034, Spain
23 FOLIG 184, chaussée de Tournai, Lille, 59000, France
24 FOLKO Åkergatan 24, Bräcke, S-844 67, Sweden
25 FRANK Berliner Platz 43, München, 80805, Germany
26 FRANR 54, rue Royale, Nantes, 44000, France
27 FRANS Via Monte Bianco 34, Torino, 10100, Italy
28 FURIB Jardim das rosas n. 32, Lisboa, 1675, Portugal
29 GALED Rambla de Cataluña, 23, Barcelona, 08022, Spain
30 GODOS C/ Romero, 33, Sevilla, 41101, Spain
31 GOURL Av. Brasil, 442, Campinas, SP, 04876-786, Brazil
32 GREAL 2732 Baker Blvd., Eugene, OR, 97403, USA
33 GROSR 5ª Ave. Los Palos Grandes, Caracas, DF, 1081, Venezuela
34 HANAR Rua do Paço, 67, Rio de Janeiro, RJ, 05454-876, Brazil
35 HILAA Carrera 22 con Ave. Carlos Soublette #8-35, San Cristóbal, Táchira, 5022, Venezuela
36 HUNGC City Center Plaza 516 Main St., Elgin, OR, 97827, USA
37 HUNGO 8 Johnstown Road, Cork, Co. Cork, Ireland
38 ISLAT Garden House Crowther Way, Cowes, Isle of Wight, PO31 7PJ, UK
39 KOENE Maubelstr. 90, Brandenburg, 14776, Germany
40 LACOR 67, avenue de l'Europe, Versailles, 78000, France
41 LAMAI 1 rue Alsace-Lorraine, Toulouse, 31000, France
42 LAUGB 1900 Oak St., Vancouver, BC, V3F 2K1, Canada
43 LAZYK 12 Orchestra Terrace, Walla Walla, WA, 99362, USA
44 LEHMS Magazinweg 7, Frankfurt a.M., 60528, Germany
45 LETSS 87 Polk St. Suite 5, San Francisco, CA, 94117, USA
46 LILAS Carrera 52 con Ave. Bolívar #65-98 Llano Largo, Barquisimeto, Lara, 3508, Venezuela
47 LINOD Ave. 5 de Mayo Porlamar, I. de Margarita, Nueva Esparta, 4980, Venezuela
48 LONEP 89 Chiaroscuro Rd., Portland, OR, 97219, USA
49 MAGAA Via Ludovico il Moro 22, Bergamo, 24100, Italy
50 MAISD Rue Joseph-Bens 532, Bruxelles, B-1180, Belgium
51 MEREP 43 rue St. Laurent, Montréal, Québec, H1J 1C3, Canada
52 MORGK Heerstr. 22, Leipzig, 04179, Germany
53 NORTS South House 300 Queensbridge, London, SW7 1RZ, UK
54 OCEAN Ing. Gustavo Moncada 8585 Piso 20-A, Buenos Aires, 1010, Argentina
55 OLDWO 2743 Bering St., Anchorage, AK, 99508, USA
56 OTTIK Mehrheimerstr. 369, Köln, 50739, Germany
57 PARIS 265, boulevard Charonne, Paris, 75012, France
58 PERIC Calle Dr. Jorge Cash 321, México D.F., 05033, Mexico
59 PICCO Geislweg 14, Salzburg, 5020, Austria
60 PRINI Estrada da saúde n. 58, Lisboa, 1756, Portugal
61 QUEDE Rua da Panificadora, 12, Rio de Janeiro, RJ, 02389-673, Brazil
62 QUEEN Alameda dos Canàrios, 891, Sao Paulo, SP, 05487-020, Brazil
63 QUICK Taucherstraße 10, Cunewalde, 01307, Germany
64 RANCH Av. del Libertador 900, Buenos Aires, 1010, Argentina
65 RATTC 2817 Milton Dr., Albuquerque, NM, 87110, USA
66 REGGC Strada Provinciale 124, Reggio Emilia, 42100, Italy
67 RICAR Av. Copacabana, 267, Rio de Janeiro, RJ, 02389-890, Brazil
68 RICSU Grenzacherweg 237, Genève, 1203, Switzerland
69 ROMEY Gran Vía, 1, Madrid, 28001, Spain
70 SANTG Erling Skakkes gate 78, Stavern, 4110, Norway
71 SAVEA 187 Suffolk Ln., Boise, ID, 83720, USA
72 SEVES 90 Wadhurst Rd., London, OX15 4NB, UK
73 SIMOB Vinbæltet 34, Kobenhavn, 1734, Denmark
74 SPECD 25, rue Lauriston, Paris, 75016, France
75 SPLIR P.O. Box 555, Lander, WY, 82520, USA
76 SUPRD Boulevard Tirou, 255, Charleroi, B-6000, Belgium
77 THEBI 89 Jefferson Way Suite 2, Portland, OR, 97201, USA
78 THECR 55 Grizzly Peak Rd., Butte, MT, 59801, USA
79 TOMSP Luisenstr. 48, Münster, 44087, Germany
80 TORTU Avda. Azteca 123, México D.F., 05033, Mexico
81 TRADH Av. Inês de Castro, 414, Sao Paulo, SP, 05634-030, Brazil
82 TRAIH 722 DaVinci Blvd., Kirkland, WA, 98034, USA
83 VAFFE Smagsloget 45, Århus, 8200, Denmark
84 VICTE 2, rue du Commerce, Lyon, 69004, France
85 VINET 59 rue de l'Abbaye, Reims, 51100, France
86 WANDK Adenauerallee 900, Stuttgart, 70563, Germany
87 WARTH Torikatu 38, Oulu, 90110, Finland
88 WELLI Rua do Mercado, 12, Resende, SP, 08737-363, Brazil
89 WHITC 305 - 14th Ave. S. Suite 3B, Seattle, WA, 98128, USA
90 WILMK Keskuskatu 45, Helsinki, 21240, Finland
91 WOLZA ul. Filtrowa 68, Warszawa, 01-012, Poland


4. Usage of CONCAT_WS to format product details

SQL Server Query 4

            
 SELECT TOP 15 ProductName, CONCAT_WS(CHAR(9), ProductName, UnitPrice, UnitsInStock) AS ProductDetailsWithTabs   
FROM Products;

Create SQL query with SqlQueryBuilder 4

            
 var (sql4, parameters4) = new SqlQueryBuilder()  
.Select().Top(15).Column("ProductName", "ProductName")
.Column(new CONCAT_WS(new CHAR(9), new Column("ProductName"), new Column("UnitPrice"),
new Column("UnitsInStock")), "ProductDetailsWithTabs")
.From("Products")
.Build();

Query build by SqlQueryBuilder 4

            
SELECT TOP 15 ProductName AS ProductName,
              CONCAT_WS(CHAR(@pMAIN_2507200159531638630), ProductName, UnitPrice, UnitsInStock) AS ProductDetailsWithTabs
FROM Products;


            
        

Parameters (If used)

Name Value
@pMAIN_2507200159531638630 9

Query Results 4:

  ProductName ProductDetailsWithTabs
1 Chai Chai 18.00 39
2 Chang Chang 19.00 17
3 Aniseed Syrup Aniseed Syrup 10.00 13
4 Chef Anton's Cajun Seasoning Chef Anton's Cajun Seasoning 22.00 53
5 Chef Anton's Gumbo Mix Chef Anton's Gumbo Mix 21.35 0
6 Grandma's Boysenberry Spread Grandma's Boysenberry Spread 25.00 120
7 Uncle Bob's Organic Dried Pears Uncle Bob's Organic Dried Pears 30.00 15
8 Northwoods Cranberry Sauce Northwoods Cranberry Sauce 40.00 6
9 Mishi Kobe Niku Mishi Kobe Niku 97.00 29
10 Ikura Ikura 31.00 31
11 Queso Cabrales Queso Cabrales 21.00 22
12 Queso Manchego La Pastora Queso Manchego La Pastora 38.00 86
13 Konbu Konbu 6.00 24
14 Tofu Tofu 23.25 35
15 Genen Shouyu Genen Shouyu 15.50 39


5. Usage of CONCAT_WS to format order details

SQL Server Query 5

            
 SELECT TOP 25 OrderID, ProductID,   
CONCAT_WS(' | ', 'Product ID: ' + CAST(ProductID AS VARCHAR), 'Quantity: ' + CAST(Quantity AS VARCHAR), 'Unit Price: $' +
CAST(UnitPrice AS VARCHAR)) AS OrderDetailInfo
FROM [Order Details];

Create SQL query with SqlQueryBuilder 5

            
 var (sql5, parameters5) = new SqlQueryBuilder()  
.Select().Top(25).Columns("OrderID", "ProductID")
.Column(new CONCAT_WS(" | ", new CONCAT("Product ID: ", new CAST(new Column("ProductID"), SqlDataType.VARCHAR)),
new CONCAT("Quantity: ", new CAST(new Column("Quantity"), SqlDataType.VARCHAR)),
new CONCAT("Unit Price: $", new CAST(new Column("UnitPrice"), SqlDataType.VARCHAR))), "OrderDetailInfo")
.From("[Order Details]")
.Build();

Query build by SqlQueryBuilder 5

            
SELECT TOP 25 OrderID,
              ProductID,
              CONCAT_WS(@pMAIN_2507200159531673930, CONCAT(@pMAIN_2507200159531673931, CAST (ProductID AS VARCHAR)), CONCAT(@pMAIN_2507200159531673932, CAST (Quantity AS VARCHAR)), CONCAT(@pMAIN_2507200159531673933, CAST (UnitPrice AS VARCHAR))) AS OrderDetailInfo
FROM [Order Details];


            
        

Parameters (If used)

Name Value
@pMAIN_2507200159531673930 |
@pMAIN_2507200159531673931 Product ID:
@pMAIN_2507200159531673932 Quantity:
@pMAIN_2507200159531673933 Unit Price: $

Query Results 5:

  OrderID ProductID OrderDetailInfo
1 10248 11 Product ID: 11 | Quantity: 12 | Unit Price: $14.00
2 10248 42 Product ID: 42 | Quantity: 10 | Unit Price: $9.80
3 10248 72 Product ID: 72 | Quantity: 5 | Unit Price: $34.80
4 10249 14 Product ID: 14 | Quantity: 9 | Unit Price: $18.60
5 10249 51 Product ID: 51 | Quantity: 40 | Unit Price: $42.40
6 10250 41 Product ID: 41 | Quantity: 10 | Unit Price: $7.70
7 10250 51 Product ID: 51 | Quantity: 35 | Unit Price: $42.40
8 10250 65 Product ID: 65 | Quantity: 15 | Unit Price: $16.80
9 10251 22 Product ID: 22 | Quantity: 6 | Unit Price: $16.80
10 10251 57 Product ID: 57 | Quantity: 15 | Unit Price: $15.60
11 10251 65 Product ID: 65 | Quantity: 20 | Unit Price: $16.80
12 10252 20 Product ID: 20 | Quantity: 40 | Unit Price: $64.80
13 10252 33 Product ID: 33 | Quantity: 25 | Unit Price: $2.00
14 10252 60 Product ID: 60 | Quantity: 40 | Unit Price: $27.20
15 10253 31 Product ID: 31 | Quantity: 20 | Unit Price: $10.00
16 10253 39 Product ID: 39 | Quantity: 42 | Unit Price: $14.40
17 10253 49 Product ID: 49 | Quantity: 40 | Unit Price: $16.00
18 10254 24 Product ID: 24 | Quantity: 15 | Unit Price: $3.60
19 10254 55 Product ID: 55 | Quantity: 21 | Unit Price: $19.20
20 10254 74 Product ID: 74 | Quantity: 21 | Unit Price: $8.00
21 10255 2 Product ID: 2 | Quantity: 20 | Unit Price: $15.20
22 10255 16 Product ID: 16 | Quantity: 35 | Unit Price: $13.90
23 10255 36 Product ID: 36 | Quantity: 25 | Unit Price: $15.20
24 10255 59 Product ID: 59 | Quantity: 30 | Unit Price: $44.00
25 10256 53 Product ID: 53 | Quantity: 15 | Unit Price: $26.20