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node_modules/
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**/node_modules/
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**/node_modules/
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.env
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.tests/customers.js
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.tests/customers.js
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.tests/database.md
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# Tables
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## Categories
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| CategoryID | CategoryName | Description |
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| -- | -- | -- |
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| 1 | Beverages | Soft drinks, coffees, teas, beers, and ales |
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| 2 | Condiments | Sweet and savory sauces, relishes, spreads, and seasonings |
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| 3 | Confections | Desserts, candies, and sweet breads |
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| 4 | Dairy Products | Cheeses |
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| 5 | Grains/Cereals | Breads, crackers, pasta, and cereal |
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| 6 | Meat/Poultry | Prepared meats |
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| 7 | Produce | Dried fruit and bean curd |
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| 8 | Seafood | Seaweed and fish |
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## Customers
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| CustomerID | CustomerName | ContactName | Address | City | PostalCode | Country |
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| -- | -- | -- | -- | -- | -- | -- |
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| 1 | Alfreds Futterkiste | Maria Anders | Obere Str. 57 | Berlin | 12209 | Germany |
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| 2 | Ana Trujillo Emparedados y helados | Ana Trujillo | Avda. de la Constitución 2222 | México D.F. | 5021 | Mexico |
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| 3 | Antonio Moreno Taquería | Antonio Moreno | Mataderos 2312 | México D.F. | 5023 | Mexico |
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| 4 | Around the Horn | Thomas Hardy | 120 Hanover Sq. | London | WA1 1DP | UK |
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| 5 | Berglunds snabbköp | Christina Berglund | Berguvsvägen 8 | Luleå | S-958 22 | Sweden |
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| 6 | Blauer See Delikatessen | Hanna Moos | Forsterstr. 57 | Mannheim | 68306 | Germany |
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| 7 | Blondel père et fils | Frédérique Citeaux | 24, place Kléber | Strasbourg | 67000 | France |
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| 8 | Bólido Comidas preparadas | Martín Sommer | C/ Araquil, 67 | Madrid | 28023 | Spain |
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| 9 | Bon app' | Laurence Lebihans | 12, rue des Bouchers | Marseille | 13008 | France |
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| 10 | Bottom-Dollar Marketse | Elizabeth Lincoln | 23 Tsawassen Blvd. | Tsawassen | T2F 8M4 | Canada |
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| 11 | B's Beverages | Victoria Ashworth | Fauntleroy Circus | London | EC2 5NT | UK |
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| 12 | Cactus Comidas para llevar | Patricio Simpson | Cerrito 333 | Buenos Aires | 1010 | Argentin |
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| 13 | Centro comercial Moctezuma | Francisco Chang | Sierras de Granada 9993 | México D.F. | 5022 | Mexico |
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| 14 | Chop-suey Chinese | Yang Wang | Hauptstr. 29 | Bern | 3012 | Switzerl |
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| 15 | Comércio Mineiro | Pedro Afonso | Av. dos Lusíadas, 23 | São Paulo | 05432-043 | Brazil |
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| 16 | Consolidated Holdings | Elizabeth Brown | Berkeley Gardens 12 Brewery | London | WX1 6LT | UK |
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| 17 | Drachenblut Delikatessend | Sven Ottlieb | Walserweg 21 | Aachen | 52066 | Germany |
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| 18 | Du monde entier | Janine Labrune | 67, rue des Cinquante Otages | Nantes | 44000 | France |
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| 19 | Eastern Connection | Ann Devon | 35 King George | London | WX3 6FW | UK |
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| 20 | Ernst Handel | Roland Mendel | Kirchgasse 6 | Graz | 8010 | Austria |
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| 21 | Familia Arquibaldo | Aria Cruz | Rua Orós, 92 | São Paulo | 05442-030 | Brazil |
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| 22 | FISSA Fabrica Inter. Salchichas S.A. | Diego Roel | C/ Moralzarzal, 86 | Madrid | 28034 | Spain |
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| 23 | Folies gourmandes | Martine Rancé | 184, chaussée de Tournai | Lille | 59000 | France |
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| 24 | Folk och fä HB | Maria Larsson | Åkergatan 24 | Bräcke | S-844 67 | Sweden |
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| 25 | Frankenversand | Peter Franken | Berliner Platz 43 | München | 80805 | Germany |
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| 26 | France restauration | Carine Schmitt | 54, rue Royale | Nantes | 44000 | France |
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| 27 | Franchi S.p.A. | Paolo Accorti | Via Monte Bianco 34 | Torino | 10100 | Italy |
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| 28 | Furia Bacalhau e Frutos do Mar | Lino Rodriguez | Jardim das rosas n. 32 | Lisboa | 1675 | Portugal |
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| 29 | Galería del gastrónomo | Eduardo Saavedra | Rambla de Cataluña, 23 | Barcelona | 8022 | Spain |
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| 30 | Godos Cocina Típica | José Pedro Freyre | C/ Romero, 33 | Sevilla | 41101 | Spain |
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| 31 | Gourmet Lanchonetes | André Fonseca | Av. Brasil, 442 | Campinas | 04876-786 | Brazil |
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| 32 | Great Lakes Food Market | Howard Snyder | 2732 Baker Blvd. | Eugene | 97403 | USA |
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| 33 | GROSELLA-Restaurante | Manuel Pereira | 5ª Ave. Los Palos Grandes | Caracas | 1081 | Venezuel |
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| 34 | Hanari Carnes | Mario Pontes | Rua do Paço, 67 | Rio de Janeiro | 05454-876 | Brazil |
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| 35 | HILARIÓN-Abastos | Carlos Hernández | Carrera 22 con Ave. Carlos Soublette #8-35 | San Cristóbal | 5022 | Venezuel |
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| 36 | Hungry Coyote Import Store | Yoshi Latimer | City Center Plaza 516 Main St. | Elgin | 97827 | USA |
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| 37 | Hungry Owl All-Night Grocers | Patricia McKenna | 8 Johnstown Road | Cork | 0 | Ireland |
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| 38 | Island Trading | Helen Bennett | Garden House Crowther Way | Cowes | PO31 7PJ | UK |
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| 39 | Königlich Essen | Philip Cramer | Maubelstr. 90 | Brandenburg | 14776 | Germany |
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| 40 | La corne d'abondance | Daniel Tonini | 67, avenue de l'Europe | Versailles | 78000 | France |
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| 41 | La maison d'Asie | Annette Roulet | 1 rue Alsace-Lorraine | Toulouse | 31000 | France |
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| 42 | Laughing Bacchus Wine Cellars | Yoshi Tannamuri | 1900 Oak St. | Vancouver | V3F 2K1 | Canada |
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| 43 | Lazy K Kountry Store | John Steel | 12 Orchestra Terrace | Walla Walla | 99362 | USA |
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| 44 | Lehmanns Marktstand | Renate Messner | Magazinweg 7 | Frankfurt a.M. | 60528 | Germany |
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| 45 | Let's Stop N Shop | Jaime Yorres | 87 Polk St. Suite 5 | San Francisco | 94117 | USA |
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| 46 | LILA-Supermercado | Carlos González | Carrera 52 con Ave. Bolívar #65-98 Llano Largo | Barquisimeto | 3508 | Venezuel |
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| 47 | LINO-Delicateses | Felipe Izquierdo | Ave. 5 de Mayo Porlamar | I. de Margarita | 4980 | Venezuel |
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| 48 | Lonesome Pine Restaurant | Fran Wilson | 89 Chiaroscuro Rd. | Portland | 97219 | USA |
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| 49 | Magazzini Alimentari Riuniti | Giovanni Rovelli | Via Ludovico il Moro 22 | Bergamo | 24100 | Italy |
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| 50 | Maison Dewey | Catherine Dewey | Rue Joseph-Bens 532 | Bruxelles | B-1180 | Belgium |
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| 51 | Mère Paillarde | Jean Fresnière | 43 rue St. Laurent | Montréal | H1J 1C3 | Canada |
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| 52 | Morgenstern Gesundkost | Alexander Feuer | Heerstr. 22 | Leipzig | 4179 | Germany |
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| 53 | North/South | Simon Crowther | South House 300 Queensbridge | London | SW7 1RZ | UK |
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| 54 | Océano Atlántico Ltda. | Yvonne Moncada | Ing. Gustavo Moncada 8585 Piso 20-A | Buenos Aires | 1010 | Argentin |
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| 55 | Old World Delicatessen | Rene Phillips | 2743 Bering St. | Anchorage | 99508 | USA |
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| 56 | Ottilies Käseladen | Henriette Pfalzheim | Mehrheimerstr. 369 | Köln | 50739 | Germany |
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| 57 | Paris spécialités | Marie Bertrand | 265, boulevard Charonne | Paris | 75012 | France |
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| 58 | Pericles Comidas clásicas | Guillermo Fernández | Calle Dr. Jorge Cash 321 | México D.F. | 5033 | Mexico |
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| 59 | Piccolo und mehr | Georg Pipps | Geislweg 14 | Salzburg | 5020 | Austria |
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| 60 | Princesa Isabel Vinhoss | Isabel de Castro | Estrada da saúde n. 58 | Lisboa | 1756 | Portugal |
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| 61 | Que Delícia | Bernardo Batista | Rua da Panificadora, 12 | Rio de Janeiro | 02389-673 | Brazil |
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| 62 | Queen Cozinha | Lúcia Carvalho | Alameda dos Canàrios, 891 | São Paulo | 05487-020 | Brazil |
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| 63 | QUICK-Stop | Horst Kloss | Taucherstraße 10 | Cunewalde | 1307 | Germany |
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| 64 | Rancho grande | Sergio Gutiérrez | Av. del Libertador 900 | Buenos Aires | 1010 | Argentin |
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| 65 | Rattlesnake Canyon Grocery | Paula Wilson | 2817 Milton Dr. | Albuquerque | 87110 | USA |
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| 66 | Reggiani Caseifici | Maurizio Moroni | Strada Provinciale 124 | Reggio Emilia | 42100 | Italy |
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| 67 | Ricardo Adocicados | Janete Limeira | Av. Copacabana, 267 | Rio de Janeiro | 02389-890 | Brazil |
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| 68 | Richter Supermarkt | Michael Holz | Grenzacherweg 237 | Genève | 1203 | Switzerl |
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| 69 | Romero y tomillo | Alejandra Camino | Gran Vía, 1 | Madrid | 28001 | Spain |
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| 70 | Santé Gourmet | Jonas Bergulfsen | Erling Skakkes gate 78 | Stavern | 4110 | Norway |
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| 71 | Save-a-lot Markets | Jose Pavarotti | 187 Suffolk Ln. | Boise | 83720 | USA |
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| 72 | Seven Seas Imports | Hari Kumar | 90 Wadhurst Rd. | London | OX15 4NB | UK |
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| 73 | Simons bistro | Jytte Petersen | Vinbæltet 34 | København | 1734 | Denmark |
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| 74 | Spécialités du monde | Dominique Perrier | 25, rue Lauriston | Paris | 75016 | France |
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| 75 | Split Rail Beer & Ale | Art Braunschweiger | P.O. Box 555 | Lander | 82520 | USA |
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| 76 | Suprêmes délices | Pascale Cartrain | Boulevard Tirou, 255 | Charleroi | B-6000 | Belgium |
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| 77 | The Big Cheese | Liz Nixon | 89 Jefferson Way Suite 2 | Portland | 97201 | USA |
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| 78 | The Cracker Box | Liu Wong | 55 Grizzly Peak Rd. | Butte | 59801 | USA |
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| 79 | Toms Spezialitäten | Karin Josephs | Luisenstr. 48 | Münster | 44087 | Germany |
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| 80 | Tortuga Restaurante | Miguel Angel Paolino | Avda. Azteca 123 | México D.F. | 5033 | Mexico |
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| 81 | Tradição Hipermercados | Anabela Domingues | Av. Inês de Castro, 414 | São Paulo | 05634-030 | Brazil |
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| 82 | Trail's Head Gourmet Provisioners | Helvetius Nagy | 722 DaVinci Blvd. | Kirkland | 98034 | USA |
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| 83 | Vaffeljernet | Palle Ibsen | Smagsløget 45 | Århus | 8200 | Denmark |
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| 84 | Victuailles en stock | Mary Saveley | 2, rue du Commerce | Lyon | 69004 | France |
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| 85 | Vins et alcools Chevalier | Paul Henriot | 59 rue de l'Abbaye | Reims | 51100 | France |
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| 86 | Die Wandernde Kuh | Rita Müller | Adenauerallee 900 | Stuttgart | 70563 | Germany |
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| 87 | Wartian Herkku | Pirkko Koskitalo | Torikatu 38 | Oulu | 90110 | Finland |
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| 88 | Wellington Importadora | Paula Parente | Rua do Mercado, 12 | Resende | 08737-363 | Brazil |
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| 89 | White Clover Markets | Karl Jablonski | 305 - 14th Ave. S. Suite 3B | Seattle | 98128 | USA |
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| 90 | Wilman Kala | Matti Karttunen | Keskuskatu 45 | Helsinki | 21240 | Finland |
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| 91 | Wolski | Zbyszek | ul. Filtrowa 68 | Walla | 01-012 | Poland |
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## Employees
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| EmployeeID | LastName | FirstName | BirthDate | Photo | Notes |
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| -- | -- | -- | -- | -- | -- |
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| 1 | Davolio | Nancy | 1968-12-08 | EmpID1.pic | Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'. |
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| 2 | Fuller | Andrew | 1952-02-19 | EmpID2.pic | Andrew received his BTS commercial and a Ph.D. in international marketing from the University of Dallas. He is fluent in French and Italian and reads German. He joined the company as a sales representative |
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| 3 | Leverling | Janet | 1963-08-30 | EmpID3.pic | Janet has a BS degree in chemistry from Boston College). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate and was promoted to sales representative. |
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| 4 | Peacock | Margaret | 1958-09-19 | EmpID4.pic | Margaret holds a BA in English literature from Concordia College and an MA from the American Institute of Culinary Arts. She was temporarily assigned to the London office before returning to her permanent post in Seattle. |
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| 5 | Buchanan | Steven | 1955-03-04 | EmpID5.pic | Steven Buchanan graduated from St. Andrews University |
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| 6 | Suyama | Michael | 1963-07-02 | EmpID6.pic | Michael is a graduate of Sussex University (MA |
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| 7 | King | Robert | 1960-05-29 | EmpID7.pic | Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan and then joining the company. After completing a course entitled 'Selling in Europe' |
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| 8 | Callahan | Laura | 1958-01-09 | EmpID8.pic | Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French. |
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| 9 | Dodsworth | Anne | 1969-07-02 | EmpID9.pic | Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German. |
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| 10 | West | Adam | 1928-09-19 | EmpID10.pic | An old chum. |
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## OrderDetails
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| OrderDetailID | OrderID | ProductID | Quantity |
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| -- | -- | -- | -- |
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| 1 | 10248 | 11 | 12 |
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| 2 | 10248 | 42 | 10 |
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| 3 | 10248 | 72 | 5 |
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| 4 | 10249 | 14 | 9 |
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| 5 | 10249 | 51 | 40 |
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| 6 | 10250 | 41 | 10 |
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| 7 | 10250 | 51 | 35 |
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| 8 | 10250 | 65 | 15 |
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| 9 | 10251 | 22 | 6 |
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| 10 | 10251 | 57 | 15 |
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| 11 | 10251 | 65 | 20 |
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| 12 | 10252 | 20 | 40 |
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| 13 | 10252 | 33 | 25 |
|
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| 14 | 10252 | 60 | 40 |
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| 15 | 10253 | 31 | 20 |
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| 16 | 10253 | 39 | 42 |
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| 17 | 10253 | 49 | 40 |
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| 18 | 10254 | 24 | 15 |
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| 19 | 10254 | 55 | 21 |
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| 20 | 10254 | 74 | 21 |
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| 21 | 10255 | 2 | 20 |
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||||
| 22 | 10255 | 16 | 35 |
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| 23 | 10255 | 36 | 25 |
|
||||
| 24 | 10255 | 59 | 30 |
|
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| 25 | 10256 | 53 | 15 |
|
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| 26 | 10256 | 77 | 12 |
|
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| 27 | 10257 | 27 | 25 |
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| 28 | 10257 | 39 | 6 |
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| 29 | 10257 | 77 | 15 |
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| 30 | 10258 | 2 | 50 |
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| 31 | 10258 | 5 | 65 |
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| 32 | 10258 | 32 | 6 |
|
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| 33 | 10259 | 21 | 10 |
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| 34 | 10259 | 37 | 1 |
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| 35 | 10260 | 41 | 16 |
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| 36 | 10260 | 57 | 50 |
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| 37 | 10260 | 62 | 15 |
|
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| 38 | 10260 | 70 | 21 |
|
||||
| 39 | 10261 | 21 | 20 |
|
||||
| 40 | 10261 | 35 | 20 |
|
||||
| 41 | 10262 | 5 | 12 |
|
||||
| 42 | 10262 | 7 | 15 |
|
||||
| 43 | 10262 | 56 | 2 |
|
||||
| 44 | 10263 | 16 | 60 |
|
||||
| 45 | 10263 | 24 | 28 |
|
||||
| 46 | 10263 | 30 | 60 |
|
||||
| 47 | 10263 | 74 | 36 |
|
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| 48 | 10264 | 2 | 35 |
|
||||
| 49 | 10264 | 41 | 25 |
|
||||
| 50 | 10265 | 17 | 30 |
|
||||
| 51 | 10265 | 70 | 20 |
|
||||
| 52 | 10266 | 12 | 12 |
|
||||
| 53 | 10267 | 40 | 50 |
|
||||
| 54 | 10267 | 59 | 70 |
|
||||
| 55 | 10267 | 76 | 15 |
|
||||
| 56 | 10268 | 29 | 10 |
|
||||
| 57 | 10268 | 72 | 4 |
|
||||
| 58 | 10269 | 33 | 60 |
|
||||
| 59 | 10269 | 72 | 20 |
|
||||
| 60 | 10270 | 36 | 30 |
|
||||
| 61 | 10270 | 43 | 25 |
|
||||
| 62 | 10271 | 33 | 24 |
|
||||
| 63 | 10272 | 20 | 6 |
|
||||
| 64 | 10272 | 31 | 40 |
|
||||
| 65 | 10272 | 72 | 24 |
|
||||
| 66 | 10273 | 10 | 24 |
|
||||
| 67 | 10273 | 31 | 15 |
|
||||
| 68 | 10273 | 33 | 20 |
|
||||
| 69 | 10273 | 40 | 60 |
|
||||
| 70 | 10273 | 76 | 33 |
|
||||
| 71 | 10274 | 71 | 20 |
|
||||
| 72 | 10274 | 72 | 7 |
|
||||
| 73 | 10275 | 24 | 12 |
|
||||
| 74 | 10275 | 59 | 6 |
|
||||
| 75 | 10276 | 10 | 15 |
|
||||
| 76 | 10276 | 13 | 10 |
|
||||
| 77 | 10277 | 28 | 20 |
|
||||
| 78 | 10277 | 62 | 12 |
|
||||
| 79 | 10278 | 44 | 16 |
|
||||
| 80 | 10278 | 59 | 15 |
|
||||
| 81 | 10278 | 63 | 8 |
|
||||
| 82 | 10278 | 73 | 25 |
|
||||
| 83 | 10279 | 17 | 15 |
|
||||
| 84 | 10280 | 24 | 12 |
|
||||
| 85 | 10280 | 55 | 20 |
|
||||
| 86 | 10280 | 75 | 30 |
|
||||
| 87 | 10281 | 19 | 1 |
|
||||
| 88 | 10281 | 24 | 6 |
|
||||
| 89 | 10281 | 35 | 4 |
|
||||
| 90 | 10282 | 30 | 6 |
|
||||
| 91 | 10282 | 57 | 2 |
|
||||
| 92 | 10283 | 15 | 20 |
|
||||
| 93 | 10283 | 19 | 18 |
|
||||
| 94 | 10283 | 60 | 35 |
|
||||
| 95 | 10283 | 72 | 3 |
|
||||
| 96 | 10284 | 27 | 15 |
|
||||
| 97 | 10284 | 44 | 21 |
|
||||
| 98 | 10284 | 60 | 20 |
|
||||
| 99 | 10284 | 67 | 5 |
|
||||
| 100 | 10285 | 1 | 45 |
|
||||
| 101 | 10285 | 40 | 40 |
|
||||
| 102 | 10285 | 53 | 36 |
|
||||
| 103 | 10286 | 35 | 100 |
|
||||
| 104 | 10286 | 62 | 40 |
|
||||
| 105 | 10287 | 16 | 40 |
|
||||
| 106 | 10287 | 34 | 20 |
|
||||
| 107 | 10287 | 46 | 15 |
|
||||
| 108 | 10288 | 54 | 10 |
|
||||
| 109 | 10288 | 68 | 3 |
|
||||
| 110 | 10289 | 3 | 30 |
|
||||
| 111 | 10289 | 64 | 9 |
|
||||
| 112 | 10290 | 5 | 20 |
|
||||
| 113 | 10290 | 29 | 15 |
|
||||
| 114 | 10290 | 49 | 15 |
|
||||
| 115 | 10290 | 77 | 10 |
|
||||
| 116 | 10291 | 13 | 20 |
|
||||
| 117 | 10291 | 44 | 24 |
|
||||
| 118 | 10291 | 51 | 2 |
|
||||
| 119 | 10292 | 20 | 20 |
|
||||
| 120 | 10293 | 18 | 12 |
|
||||
| 121 | 10293 | 24 | 10 |
|
||||
| 122 | 10293 | 63 | 5 |
|
||||
| 123 | 10293 | 75 | 6 |
|
||||
| 124 | 10294 | 1 | 18 |
|
||||
| 125 | 10294 | 17 | 15 |
|
||||
| 126 | 10294 | 43 | 15 |
|
||||
| 127 | 10294 | 60 | 21 |
|
||||
| 128 | 10294 | 75 | 6 |
|
||||
| 129 | 10295 | 56 | 4 |
|
||||
| 130 | 10296 | 11 | 12 |
|
||||
| 131 | 10296 | 16 | 30 |
|
||||
| 132 | 10296 | 69 | 15 |
|
||||
| 133 | 10297 | 39 | 60 |
|
||||
| 134 | 10297 | 72 | 20 |
|
||||
| 135 | 10298 | 2 | 40 |
|
||||
| 136 | 10298 | 36 | 40 |
|
||||
| 137 | 10298 | 59 | 30 |
|
||||
| 138 | 10298 | 62 | 15 |
|
||||
| 139 | 10299 | 19 | 15 |
|
||||
| 140 | 10299 | 70 | 20 |
|
||||
| 141 | 10300 | 66 | 30 |
|
||||
| 142 | 10300 | 68 | 20 |
|
||||
| 143 | 10301 | 40 | 10 |
|
||||
| 144 | 10301 | 56 | 20 |
|
||||
| 145 | 10302 | 17 | 40 |
|
||||
| 146 | 10302 | 28 | 28 |
|
||||
| 147 | 10302 | 43 | 12 |
|
||||
| 148 | 10303 | 40 | 40 |
|
||||
| 149 | 10303 | 65 | 30 |
|
||||
| 150 | 10303 | 68 | 15 |
|
||||
| 151 | 10304 | 49 | 30 |
|
||||
| 152 | 10304 | 59 | 10 |
|
||||
| 153 | 10304 | 71 | 2 |
|
||||
| 154 | 10305 | 18 | 25 |
|
||||
| 155 | 10305 | 29 | 25 |
|
||||
| 156 | 10305 | 39 | 30 |
|
||||
| 157 | 10306 | 30 | 10 |
|
||||
| 158 | 10306 | 53 | 10 |
|
||||
| 159 | 10306 | 54 | 5 |
|
||||
| 160 | 10307 | 62 | 10 |
|
||||
| 161 | 10307 | 68 | 3 |
|
||||
| 162 | 10308 | 69 | 1 |
|
||||
| 163 | 10308 | 70 | 5 |
|
||||
| 164 | 10309 | 4 | 20 |
|
||||
| 165 | 10309 | 6 | 30 |
|
||||
| 166 | 10309 | 42 | 2 |
|
||||
| 167 | 10309 | 43 | 20 |
|
||||
| 168 | 10309 | 71 | 3 |
|
||||
| 169 | 10310 | 16 | 10 |
|
||||
| 170 | 10310 | 62 | 5 |
|
||||
| 171 | 10311 | 42 | 6 |
|
||||
| 172 | 10311 | 69 | 7 |
|
||||
| 173 | 10312 | 28 | 4 |
|
||||
| 174 | 10312 | 43 | 24 |
|
||||
| 175 | 10312 | 53 | 20 |
|
||||
| 176 | 10312 | 75 | 10 |
|
||||
| 177 | 10313 | 36 | 12 |
|
||||
| 178 | 10314 | 32 | 40 |
|
||||
| 179 | 10314 | 58 | 30 |
|
||||
| 180 | 10314 | 62 | 25 |
|
||||
| 181 | 10315 | 34 | 14 |
|
||||
| 182 | 10315 | 70 | 30 |
|
||||
| 183 | 10316 | 41 | 10 |
|
||||
| 184 | 10316 | 62 | 70 |
|
||||
| 185 | 10317 | 1 | 20 |
|
||||
| 186 | 10318 | 41 | 20 |
|
||||
| 187 | 10318 | 76 | 6 |
|
||||
| 188 | 10319 | 17 | 8 |
|
||||
| 189 | 10319 | 28 | 14 |
|
||||
| 190 | 10319 | 76 | 30 |
|
||||
| 191 | 10320 | 71 | 30 |
|
||||
| 192 | 10321 | 35 | 10 |
|
||||
| 193 | 10322 | 52 | 20 |
|
||||
| 194 | 10323 | 15 | 5 |
|
||||
| 195 | 10323 | 25 | 4 |
|
||||
| 196 | 10323 | 39 | 4 |
|
||||
| 197 | 10324 | 16 | 21 |
|
||||
| 198 | 10324 | 35 | 70 |
|
||||
| 199 | 10324 | 46 | 30 |
|
||||
| 200 | 10324 | 59 | 40 |
|
||||
| 201 | 10324 | 63 | 80 |
|
||||
| 202 | 10325 | 6 | 6 |
|
||||
| 203 | 10325 | 13 | 12 |
|
||||
| 204 | 10325 | 14 | 9 |
|
||||
| 205 | 10325 | 31 | 4 |
|
||||
| 206 | 10325 | 72 | 40 |
|
||||
| 207 | 10326 | 4 | 24 |
|
||||
| 208 | 10326 | 57 | 16 |
|
||||
| 209 | 10326 | 75 | 50 |
|
||||
| 210 | 10327 | 2 | 25 |
|
||||
| 211 | 10327 | 11 | 50 |
|
||||
| 212 | 10327 | 30 | 35 |
|
||||
| 213 | 10327 | 58 | 30 |
|
||||
| 214 | 10328 | 59 | 9 |
|
||||
| 215 | 10328 | 65 | 40 |
|
||||
| 216 | 10328 | 68 | 10 |
|
||||
| 217 | 10329 | 19 | 10 |
|
||||
| 218 | 10329 | 30 | 8 |
|
||||
| 219 | 10329 | 38 | 20 |
|
||||
| 220 | 10329 | 56 | 12 |
|
||||
| 221 | 10330 | 26 | 50 |
|
||||
| 222 | 10330 | 72 | 25 |
|
||||
| 223 | 10331 | 54 | 15 |
|
||||
| 224 | 10332 | 18 | 40 |
|
||||
| 225 | 10332 | 42 | 10 |
|
||||
| 226 | 10332 | 47 | 16 |
|
||||
| 227 | 10333 | 14 | 10 |
|
||||
| 228 | 10333 | 21 | 10 |
|
||||
| 229 | 10333 | 71 | 40 |
|
||||
| 230 | 10334 | 52 | 8 |
|
||||
| 231 | 10334 | 68 | 10 |
|
||||
| 232 | 10335 | 2 | 7 |
|
||||
| 233 | 10335 | 31 | 25 |
|
||||
| 234 | 10335 | 32 | 6 |
|
||||
| 235 | 10335 | 51 | 48 |
|
||||
| 236 | 10336 | 4 | 18 |
|
||||
| 237 | 10337 | 23 | 40 |
|
||||
| 238 | 10337 | 26 | 24 |
|
||||
| 239 | 10337 | 36 | 20 |
|
||||
| 240 | 10337 | 37 | 28 |
|
||||
| 241 | 10337 | 72 | 25 |
|
||||
| 242 | 10338 | 17 | 20 |
|
||||
| 243 | 10338 | 30 | 15 |
|
||||
| 244 | 10339 | 4 | 10 |
|
||||
| 245 | 10339 | 17 | 70 |
|
||||
| 246 | 10339 | 62 | 28 |
|
||||
| 247 | 10340 | 18 | 20 |
|
||||
| 248 | 10340 | 41 | 12 |
|
||||
| 249 | 10340 | 43 | 40 |
|
||||
| 250 | 10341 | 33 | 8 |
|
||||
| 251 | 10341 | 59 | 9 |
|
||||
| 252 | 10342 | 2 | 24 |
|
||||
| 253 | 10342 | 31 | 56 |
|
||||
| 254 | 10342 | 36 | 40 |
|
||||
| 255 | 10342 | 55 | 40 |
|
||||
| 256 | 10343 | 64 | 50 |
|
||||
| 257 | 10343 | 68 | 4 |
|
||||
| 258 | 10343 | 76 | 15 |
|
||||
| 259 | 10344 | 4 | 35 |
|
||||
| 260 | 10344 | 8 | 70 |
|
||||
| 261 | 10345 | 8 | 70 |
|
||||
| 262 | 10345 | 19 | 80 |
|
||||
| 263 | 10345 | 42 | 9 |
|
||||
| 264 | 10346 | 17 | 36 |
|
||||
| 265 | 10346 | 56 | 20 |
|
||||
| 266 | 10347 | 25 | 10 |
|
||||
| 267 | 10347 | 39 | 50 |
|
||||
| 268 | 10347 | 40 | 4 |
|
||||
| 269 | 10347 | 75 | 6 |
|
||||
| 270 | 10348 | 1 | 15 |
|
||||
| 271 | 10348 | 23 | 25 |
|
||||
| 272 | 10349 | 54 | 24 |
|
||||
| 273 | 10350 | 50 | 15 |
|
||||
| 274 | 10350 | 69 | 18 |
|
||||
| 275 | 10351 | 38 | 20 |
|
||||
| 276 | 10351 | 41 | 13 |
|
||||
| 277 | 10351 | 44 | 77 |
|
||||
| 278 | 10351 | 65 | 10 |
|
||||
| 279 | 10352 | 24 | 10 |
|
||||
| 280 | 10352 | 54 | 20 |
|
||||
| 281 | 10353 | 11 | 12 |
|
||||
| 282 | 10353 | 38 | 50 |
|
||||
| 283 | 10354 | 1 | 12 |
|
||||
| 284 | 10354 | 29 | 4 |
|
||||
| 285 | 10355 | 24 | 25 |
|
||||
| 286 | 10355 | 57 | 25 |
|
||||
| 287 | 10356 | 31 | 30 |
|
||||
| 288 | 10356 | 55 | 12 |
|
||||
| 289 | 10356 | 69 | 20 |
|
||||
| 290 | 10357 | 10 | 30 |
|
||||
| 291 | 10357 | 26 | 16 |
|
||||
| 292 | 10357 | 60 | 8 |
|
||||
| 293 | 10358 | 24 | 10 |
|
||||
| 294 | 10358 | 34 | 10 |
|
||||
| 295 | 10358 | 36 | 20 |
|
||||
| 296 | 10359 | 16 | 56 |
|
||||
| 297 | 10359 | 31 | 70 |
|
||||
| 298 | 10359 | 60 | 80 |
|
||||
| 299 | 10360 | 28 | 30 |
|
||||
| 300 | 10360 | 29 | 35 |
|
||||
| 301 | 10360 | 38 | 10 |
|
||||
| 302 | 10360 | 49 | 35 |
|
||||
| 303 | 10360 | 54 | 28 |
|
||||
| 304 | 10361 | 39 | 54 |
|
||||
| 305 | 10361 | 60 | 55 |
|
||||
| 306 | 10362 | 25 | 50 |
|
||||
| 307 | 10362 | 51 | 20 |
|
||||
| 308 | 10362 | 54 | 24 |
|
||||
| 309 | 10363 | 31 | 20 |
|
||||
| 310 | 10363 | 75 | 12 |
|
||||
| 311 | 10363 | 76 | 12 |
|
||||
| 312 | 10364 | 69 | 30 |
|
||||
| 313 | 10364 | 71 | 5 |
|
||||
| 314 | 10365 | 11 | 24 |
|
||||
| 315 | 10366 | 65 | 5 |
|
||||
| 316 | 10366 | 77 | 5 |
|
||||
| 317 | 10367 | 34 | 36 |
|
||||
| 318 | 10367 | 54 | 18 |
|
||||
| 319 | 10367 | 65 | 15 |
|
||||
| 320 | 10367 | 77 | 7 |
|
||||
| 321 | 10368 | 21 | 5 |
|
||||
| 322 | 10368 | 28 | 13 |
|
||||
| 323 | 10368 | 57 | 25 |
|
||||
| 324 | 10368 | 64 | 35 |
|
||||
| 325 | 10369 | 29 | 20 |
|
||||
| 326 | 10369 | 56 | 18 |
|
||||
| 327 | 10370 | 1 | 15 |
|
||||
| 328 | 10370 | 64 | 30 |
|
||||
| 329 | 10370 | 74 | 20 |
|
||||
| 330 | 10371 | 36 | 6 |
|
||||
| 331 | 10372 | 20 | 12 |
|
||||
| 332 | 10372 | 38 | 40 |
|
||||
| 333 | 10372 | 60 | 70 |
|
||||
| 334 | 10372 | 72 | 42 |
|
||||
| 335 | 10373 | 58 | 80 |
|
||||
| 336 | 10373 | 71 | 50 |
|
||||
| 337 | 10374 | 31 | 30 |
|
||||
| 338 | 10374 | 58 | 15 |
|
||||
| 339 | 10375 | 14 | 15 |
|
||||
| 340 | 10375 | 54 | 10 |
|
||||
| 341 | 10376 | 31 | 42 |
|
||||
| 342 | 10377 | 28 | 20 |
|
||||
| 343 | 10377 | 39 | 20 |
|
||||
| 344 | 10378 | 71 | 6 |
|
||||
| 345 | 10379 | 41 | 8 |
|
||||
| 346 | 10379 | 63 | 16 |
|
||||
| 347 | 10379 | 65 | 20 |
|
||||
| 348 | 10380 | 30 | 18 |
|
||||
| 349 | 10380 | 53 | 20 |
|
||||
| 350 | 10380 | 60 | 6 |
|
||||
| 351 | 10380 | 70 | 30 |
|
||||
| 352 | 10381 | 74 | 14 |
|
||||
| 353 | 10382 | 5 | 32 |
|
||||
| 354 | 10382 | 18 | 9 |
|
||||
| 355 | 10382 | 29 | 14 |
|
||||
| 356 | 10382 | 33 | 60 |
|
||||
| 357 | 10382 | 74 | 50 |
|
||||
| 358 | 10383 | 13 | 20 |
|
||||
| 359 | 10383 | 50 | 15 |
|
||||
| 360 | 10383 | 56 | 20 |
|
||||
| 361 | 10384 | 20 | 28 |
|
||||
| 362 | 10384 | 60 | 15 |
|
||||
| 363 | 10385 | 7 | 10 |
|
||||
| 364 | 10385 | 60 | 20 |
|
||||
| 365 | 10385 | 68 | 8 |
|
||||
| 366 | 10386 | 24 | 15 |
|
||||
| 367 | 10386 | 34 | 10 |
|
||||
| 368 | 10387 | 24 | 15 |
|
||||
| 369 | 10387 | 28 | 6 |
|
||||
| 370 | 10387 | 59 | 12 |
|
||||
| 371 | 10387 | 71 | 15 |
|
||||
| 372 | 10388 | 45 | 15 |
|
||||
| 373 | 10388 | 52 | 20 |
|
||||
| 374 | 10388 | 53 | 40 |
|
||||
| 375 | 10389 | 10 | 16 |
|
||||
| 376 | 10389 | 55 | 15 |
|
||||
| 377 | 10389 | 62 | 20 |
|
||||
| 378 | 10389 | 70 | 30 |
|
||||
| 379 | 10390 | 31 | 60 |
|
||||
| 380 | 10390 | 35 | 40 |
|
||||
| 381 | 10390 | 46 | 45 |
|
||||
| 382 | 10390 | 72 | 24 |
|
||||
| 383 | 10391 | 13 | 18 |
|
||||
| 384 | 10392 | 69 | 50 |
|
||||
| 385 | 10393 | 2 | 25 |
|
||||
| 386 | 10393 | 14 | 42 |
|
||||
| 387 | 10393 | 25 | 7 |
|
||||
| 388 | 10393 | 26 | 70 |
|
||||
| 389 | 10393 | 31 | 32 |
|
||||
| 390 | 10394 | 13 | 10 |
|
||||
| 391 | 10394 | 62 | 10 |
|
||||
| 392 | 10395 | 46 | 28 |
|
||||
| 393 | 10395 | 53 | 70 |
|
||||
| 394 | 10395 | 69 | 8 |
|
||||
| 395 | 10396 | 23 | 40 |
|
||||
| 396 | 10396 | 71 | 60 |
|
||||
| 397 | 10396 | 72 | 21 |
|
||||
| 398 | 10397 | 21 | 10 |
|
||||
| 399 | 10397 | 51 | 18 |
|
||||
| 400 | 10398 | 35 | 30 |
|
||||
| 401 | 10398 | 55 | 120 |
|
||||
| 402 | 10399 | 68 | 60 |
|
||||
| 403 | 10399 | 71 | 30 |
|
||||
| 404 | 10399 | 76 | 35 |
|
||||
| 405 | 10399 | 77 | 14 |
|
||||
| 406 | 10400 | 29 | 21 |
|
||||
| 407 | 10400 | 35 | 35 |
|
||||
| 408 | 10400 | 49 | 30 |
|
||||
| 409 | 10401 | 30 | 18 |
|
||||
| 410 | 10401 | 56 | 70 |
|
||||
| 411 | 10401 | 65 | 20 |
|
||||
| 412 | 10401 | 71 | 60 |
|
||||
| 413 | 10402 | 23 | 60 |
|
||||
| 414 | 10402 | 63 | 65 |
|
||||
| 415 | 10403 | 16 | 21 |
|
||||
| 416 | 10403 | 48 | 70 |
|
||||
| 417 | 10404 | 26 | 30 |
|
||||
| 418 | 10404 | 42 | 40 |
|
||||
| 419 | 10404 | 49 | 30 |
|
||||
| 420 | 10405 | 3 | 50 |
|
||||
| 421 | 10406 | 1 | 10 |
|
||||
| 422 | 10406 | 21 | 30 |
|
||||
| 423 | 10406 | 28 | 42 |
|
||||
| 424 | 10406 | 36 | 5 |
|
||||
| 425 | 10406 | 40 | 2 |
|
||||
| 426 | 10407 | 11 | 30 |
|
||||
| 427 | 10407 | 69 | 15 |
|
||||
| 428 | 10407 | 71 | 15 |
|
||||
| 429 | 10408 | 37 | 10 |
|
||||
| 430 | 10408 | 54 | 6 |
|
||||
| 431 | 10408 | 62 | 35 |
|
||||
| 432 | 10409 | 14 | 12 |
|
||||
| 433 | 10409 | 21 | 12 |
|
||||
| 434 | 10410 | 33 | 49 |
|
||||
| 435 | 10410 | 59 | 16 |
|
||||
| 436 | 10411 | 41 | 25 |
|
||||
| 437 | 10411 | 44 | 40 |
|
||||
| 438 | 10411 | 59 | 9 |
|
||||
| 439 | 10412 | 14 | 20 |
|
||||
| 440 | 10413 | 1 | 24 |
|
||||
| 441 | 10413 | 62 | 40 |
|
||||
| 442 | 10413 | 76 | 14 |
|
||||
| 443 | 10414 | 19 | 18 |
|
||||
| 444 | 10414 | 33 | 50 |
|
||||
| 445 | 10415 | 17 | 2 |
|
||||
| 446 | 10415 | 33 | 20 |
|
||||
| 447 | 10416 | 19 | 20 |
|
||||
| 448 | 10416 | 53 | 10 |
|
||||
| 449 | 10416 | 57 | 20 |
|
||||
| 450 | 10417 | 38 | 50 |
|
||||
| 451 | 10417 | 46 | 2 |
|
||||
| 452 | 10417 | 68 | 36 |
|
||||
| 453 | 10417 | 77 | 35 |
|
||||
| 454 | 10418 | 2 | 60 |
|
||||
| 455 | 10418 | 47 | 55 |
|
||||
| 456 | 10418 | 61 | 16 |
|
||||
| 457 | 10418 | 74 | 15 |
|
||||
| 458 | 10419 | 60 | 60 |
|
||||
| 459 | 10419 | 69 | 20 |
|
||||
| 460 | 10420 | 9 | 20 |
|
||||
| 461 | 10420 | 13 | 2 |
|
||||
| 462 | 10420 | 70 | 8 |
|
||||
| 463 | 10420 | 73 | 20 |
|
||||
| 464 | 10421 | 19 | 4 |
|
||||
| 465 | 10421 | 26 | 30 |
|
||||
| 466 | 10421 | 53 | 15 |
|
||||
| 467 | 10421 | 77 | 10 |
|
||||
| 468 | 10422 | 26 | 2 |
|
||||
| 469 | 10423 | 31 | 14 |
|
||||
| 470 | 10423 | 59 | 20 |
|
||||
| 471 | 10424 | 35 | 60 |
|
||||
| 472 | 10424 | 38 | 49 |
|
||||
| 473 | 10424 | 68 | 30 |
|
||||
| 474 | 10425 | 55 | 10 |
|
||||
| 475 | 10425 | 76 | 20 |
|
||||
| 476 | 10426 | 56 | 5 |
|
||||
| 477 | 10426 | 64 | 7 |
|
||||
| 478 | 10427 | 14 | 35 |
|
||||
| 479 | 10428 | 46 | 20 |
|
||||
| 480 | 10429 | 50 | 40 |
|
||||
| 481 | 10429 | 63 | 35 |
|
||||
| 482 | 10430 | 17 | 45 |
|
||||
| 483 | 10430 | 21 | 50 |
|
||||
| 484 | 10430 | 56 | 30 |
|
||||
| 485 | 10430 | 59 | 70 |
|
||||
| 486 | 10431 | 17 | 50 |
|
||||
| 487 | 10431 | 40 | 50 |
|
||||
| 488 | 10431 | 47 | 30 |
|
||||
| 489 | 10432 | 26 | 10 |
|
||||
| 490 | 10432 | 54 | 40 |
|
||||
| 491 | 10433 | 56 | 28 |
|
||||
| 492 | 10434 | 11 | 6 |
|
||||
| 493 | 10434 | 76 | 18 |
|
||||
| 494 | 10435 | 2 | 10 |
|
||||
| 495 | 10435 | 22 | 12 |
|
||||
| 496 | 10435 | 72 | 10 |
|
||||
| 497 | 10436 | 46 | 5 |
|
||||
| 498 | 10436 | 56 | 40 |
|
||||
| 499 | 10436 | 64 | 30 |
|
||||
| 500 | 10436 | 75 | 24 |
|
||||
| 501 | 10437 | 53 | 15 |
|
||||
| 502 | 10438 | 19 | 15 |
|
||||
| 503 | 10438 | 34 | 20 |
|
||||
| 504 | 10438 | 57 | 15 |
|
||||
| 505 | 10439 | 12 | 15 |
|
||||
| 506 | 10439 | 16 | 16 |
|
||||
| 507 | 10439 | 64 | 6 |
|
||||
| 508 | 10439 | 74 | 30 |
|
||||
| 509 | 10440 | 2 | 45 |
|
||||
| 510 | 10440 | 16 | 49 |
|
||||
| 511 | 10440 | 29 | 24 |
|
||||
| 512 | 10440 | 61 | 90 |
|
||||
| 513 | 10441 | 27 | 50 |
|
||||
| 514 | 10442 | 11 | 30 |
|
||||
| 515 | 10442 | 54 | 80 |
|
||||
| 516 | 10442 | 66 | 60 |
|
||||
| 517 | 10443 | 11 | 6 |
|
||||
| 518 | 10443 | 28 | 12 |
|
||||
|
||||
## Orders
|
||||
| OrderID | CustomerID | EmployeeID | OrderDate | ShipperID |
|
||||
| -- | -- | -- | -- | -- |
|
||||
| 10248 | 90 | 5 | 1996-07-04 | 3 |
|
||||
| 10249 | 81 | 6 | 1996-07-05 | 1 |
|
||||
| 10250 | 34 | 4 | 1996-07-08 | 2 |
|
||||
| 10251 | 84 | 3 | 1996-07-08 | 1 |
|
||||
| 10252 | 76 | 4 | 1996-07-09 | 2 |
|
||||
| 10253 | 34 | 3 | 1996-07-10 | 2 |
|
||||
| 10254 | 14 | 5 | 1996-07-11 | 2 |
|
||||
| 10255 | 68 | 9 | 1996-07-12 | 3 |
|
||||
| 10256 | 88 | 3 | 1996-07-15 | 2 |
|
||||
| 10257 | 35 | 4 | 1996-07-16 | 3 |
|
||||
| 10258 | 20 | 1 | 1996-07-17 | 1 |
|
||||
| 10259 | 13 | 4 | 1996-07-18 | 3 |
|
||||
| 10260 | 55 | 4 | 1996-07-19 | 1 |
|
||||
| 10261 | 61 | 4 | 1996-07-19 | 2 |
|
||||
| 10262 | 65 | 8 | 1996-07-22 | 3 |
|
||||
| 10263 | 20 | 9 | 1996-07-23 | 3 |
|
||||
| 10264 | 24 | 6 | 1996-07-24 | 3 |
|
||||
| 10265 | 7 | 2 | 1996-07-25 | 1 |
|
||||
| 10266 | 87 | 3 | 1996-07-26 | 3 |
|
||||
| 10267 | 25 | 4 | 1996-07-29 | 1 |
|
||||
| 10268 | 33 | 8 | 1996-07-30 | 3 |
|
||||
| 10269 | 89 | 5 | 1996-07-31 | 1 |
|
||||
| 10270 | 87 | 1 | 1996-08-01 | 1 |
|
||||
| 10271 | 75 | 6 | 1996-08-01 | 2 |
|
||||
| 10272 | 65 | 6 | 1996-08-02 | 2 |
|
||||
| 10273 | 63 | 3 | 1996-08-05 | 3 |
|
||||
| 10274 | 85 | 6 | 1996-08-06 | 1 |
|
||||
| 10275 | 49 | 1 | 1996-08-07 | 1 |
|
||||
| 10276 | 80 | 8 | 1996-08-08 | 3 |
|
||||
| 10277 | 52 | 2 | 1996-08-09 | 3 |
|
||||
| 10278 | 5 | 8 | 1996-08-12 | 2 |
|
||||
| 10279 | 44 | 8 | 1996-08-13 | 2 |
|
||||
| 10280 | 5 | 2 | 1996-08-14 | 1 |
|
||||
| 10281 | 69 | 4 | 1996-08-14 | 1 |
|
||||
| 10282 | 69 | 4 | 1996-08-15 | 1 |
|
||||
| 10283 | 46 | 3 | 1996-08-16 | 3 |
|
||||
| 10284 | 44 | 4 | 1996-08-19 | 1 |
|
||||
| 10285 | 63 | 1 | 1996-08-20 | 2 |
|
||||
| 10286 | 63 | 8 | 1996-08-21 | 3 |
|
||||
| 10287 | 67 | 8 | 1996-08-22 | 3 |
|
||||
| 10288 | 66 | 4 | 1996-08-23 | 1 |
|
||||
| 10289 | 11 | 7 | 1996-08-26 | 3 |
|
||||
| 10290 | 15 | 8 | 1996-08-27 | 1 |
|
||||
| 10291 | 61 | 6 | 1996-08-27 | 2 |
|
||||
| 10292 | 81 | 1 | 1996-08-28 | 2 |
|
||||
| 10293 | 80 | 1 | 1996-08-29 | 3 |
|
||||
| 10294 | 65 | 4 | 1996-08-30 | 2 |
|
||||
| 10295 | 85 | 2 | 1996-09-02 | 2 |
|
||||
| 10296 | 46 | 6 | 1996-09-03 | 1 |
|
||||
| 10297 | 7 | 5 | 1996-09-04 | 2 |
|
||||
| 10298 | 37 | 6 | 1996-09-05 | 2 |
|
||||
| 10299 | 67 | 4 | 1996-09-06 | 2 |
|
||||
| 10300 | 49 | 2 | 1996-09-09 | 2 |
|
||||
| 10301 | 86 | 8 | 1996-09-09 | 2 |
|
||||
| 10302 | 76 | 4 | 1996-09-10 | 2 |
|
||||
| 10303 | 30 | 7 | 1996-09-11 | 2 |
|
||||
| 10304 | 80 | 1 | 1996-09-12 | 2 |
|
||||
| 10305 | 55 | 8 | 1996-09-13 | 3 |
|
||||
| 10306 | 69 | 1 | 1996-09-16 | 3 |
|
||||
| 10307 | 48 | 2 | 1996-09-17 | 2 |
|
||||
| 10308 | 2 | 7 | 1996-09-18 | 3 |
|
||||
| 10309 | 37 | 3 | 1996-09-19 | 1 |
|
||||
| 10310 | 77 | 8 | 1996-09-20 | 2 |
|
||||
| 10311 | 18 | 1 | 1996-09-20 | 3 |
|
||||
| 10312 | 86 | 2 | 1996-09-23 | 2 |
|
||||
| 10313 | 63 | 2 | 1996-09-24 | 2 |
|
||||
| 10314 | 65 | 1 | 1996-09-25 | 2 |
|
||||
| 10315 | 38 | 4 | 1996-09-26 | 2 |
|
||||
| 10316 | 65 | 1 | 1996-09-27 | 3 |
|
||||
| 10317 | 48 | 6 | 1996-09-30 | 1 |
|
||||
| 10318 | 38 | 8 | 1996-10-01 | 2 |
|
||||
| 10319 | 80 | 7 | 1996-10-02 | 3 |
|
||||
| 10320 | 87 | 5 | 1996-10-03 | 3 |
|
||||
| 10321 | 38 | 3 | 1996-10-03 | 2 |
|
||||
| 10322 | 58 | 7 | 1996-10-04 | 3 |
|
||||
| 10323 | 39 | 4 | 1996-10-07 | 1 |
|
||||
| 10324 | 71 | 9 | 1996-10-08 | 1 |
|
||||
| 10325 | 39 | 1 | 1996-10-09 | 3 |
|
||||
| 10326 | 8 | 4 | 1996-10-10 | 2 |
|
||||
| 10327 | 24 | 2 | 1996-10-11 | 1 |
|
||||
| 10328 | 28 | 4 | 1996-10-14 | 3 |
|
||||
| 10329 | 75 | 4 | 1996-10-15 | 2 |
|
||||
| 10330 | 46 | 3 | 1996-10-16 | 1 |
|
||||
| 10331 | 9 | 9 | 1996-10-16 | 1 |
|
||||
| 10332 | 51 | 3 | 1996-10-17 | 2 |
|
||||
| 10333 | 87 | 5 | 1996-10-18 | 3 |
|
||||
| 10334 | 84 | 8 | 1996-10-21 | 2 |
|
||||
| 10335 | 37 | 7 | 1996-10-22 | 2 |
|
||||
| 10336 | 60 | 7 | 1996-10-23 | 2 |
|
||||
| 10337 | 25 | 4 | 1996-10-24 | 3 |
|
||||
| 10338 | 55 | 4 | 1996-10-25 | 3 |
|
||||
| 10339 | 51 | 2 | 1996-10-28 | 2 |
|
||||
| 10340 | 9 | 1 | 1996-10-29 | 3 |
|
||||
| 10341 | 73 | 7 | 1996-10-29 | 3 |
|
||||
| 10342 | 25 | 4 | 1996-10-30 | 2 |
|
||||
| 10343 | 44 | 4 | 1996-10-31 | 1 |
|
||||
| 10344 | 89 | 4 | 1996-11-01 | 2 |
|
||||
| 10345 | 63 | 2 | 1996-11-04 | 2 |
|
||||
| 10346 | 65 | 3 | 1996-11-05 | 3 |
|
||||
| 10347 | 21 | 4 | 1996-11-06 | 3 |
|
||||
| 10348 | 86 | 4 | 1996-11-07 | 2 |
|
||||
| 10349 | 75 | 7 | 1996-11-08 | 1 |
|
||||
| 10350 | 41 | 6 | 1996-11-11 | 2 |
|
||||
| 10351 | 20 | 1 | 1996-11-11 | 1 |
|
||||
| 10352 | 28 | 3 | 1996-11-12 | 3 |
|
||||
| 10353 | 59 | 7 | 1996-11-13 | 3 |
|
||||
| 10354 | 58 | 8 | 1996-11-14 | 3 |
|
||||
| 10355 | 4 | 6 | 1996-11-15 | 1 |
|
||||
| 10356 | 86 | 6 | 1996-11-18 | 2 |
|
||||
| 10357 | 46 | 1 | 1996-11-19 | 3 |
|
||||
| 10358 | 41 | 5 | 1996-11-20 | 1 |
|
||||
| 10359 | 72 | 5 | 1996-11-21 | 3 |
|
||||
| 10360 | 7 | 4 | 1996-11-22 | 3 |
|
||||
| 10361 | 63 | 1 | 1996-11-22 | 2 |
|
||||
| 10362 | 9 | 3 | 1996-11-25 | 1 |
|
||||
| 10363 | 17 | 4 | 1996-11-26 | 3 |
|
||||
| 10364 | 19 | 1 | 1996-11-26 | 1 |
|
||||
| 10365 | 3 | 3 | 1996-11-27 | 2 |
|
||||
| 10366 | 29 | 8 | 1996-11-28 | 2 |
|
||||
| 10367 | 83 | 7 | 1996-11-28 | 3 |
|
||||
| 10368 | 20 | 2 | 1996-11-29 | 2 |
|
||||
| 10369 | 75 | 8 | 1996-12-02 | 2 |
|
||||
| 10370 | 14 | 6 | 1996-12-03 | 2 |
|
||||
| 10371 | 41 | 1 | 1996-12-03 | 1 |
|
||||
| 10372 | 62 | 5 | 1996-12-04 | 2 |
|
||||
| 10373 | 37 | 4 | 1996-12-05 | 3 |
|
||||
| 10374 | 91 | 1 | 1996-12-05 | 3 |
|
||||
| 10375 | 36 | 3 | 1996-12-06 | 2 |
|
||||
| 10376 | 51 | 1 | 1996-12-09 | 2 |
|
||||
| 10377 | 72 | 1 | 1996-12-09 | 3 |
|
||||
| 10378 | 24 | 5 | 1996-12-10 | 3 |
|
||||
| 10379 | 61 | 2 | 1996-12-11 | 1 |
|
||||
| 10380 | 37 | 8 | 1996-12-12 | 3 |
|
||||
| 10381 | 46 | 3 | 1996-12-12 | 3 |
|
||||
| 10382 | 20 | 4 | 1996-12-13 | 1 |
|
||||
| 10383 | 4 | 8 | 1996-12-16 | 3 |
|
||||
| 10384 | 5 | 3 | 1996-12-16 | 3 |
|
||||
| 10385 | 75 | 1 | 1996-12-17 | 2 |
|
||||
| 10386 | 21 | 9 | 1996-12-18 | 3 |
|
||||
| 10387 | 70 | 1 | 1996-12-18 | 2 |
|
||||
| 10388 | 72 | 2 | 1996-12-19 | 1 |
|
||||
| 10389 | 10 | 4 | 1996-12-20 | 2 |
|
||||
| 10390 | 20 | 6 | 1996-12-23 | 1 |
|
||||
| 10391 | 17 | 3 | 1996-12-23 | 3 |
|
||||
| 10392 | 59 | 2 | 1996-12-24 | 3 |
|
||||
| 10393 | 71 | 1 | 1996-12-25 | 3 |
|
||||
| 10394 | 36 | 1 | 1996-12-25 | 3 |
|
||||
| 10395 | 35 | 6 | 1996-12-26 | 1 |
|
||||
| 10396 | 25 | 1 | 1996-12-27 | 3 |
|
||||
| 10397 | 60 | 5 | 1996-12-27 | 1 |
|
||||
| 10398 | 71 | 2 | 1996-12-30 | 3 |
|
||||
| 10399 | 83 | 8 | 1996-12-31 | 3 |
|
||||
| 10400 | 19 | 1 | 1997-01-01 | 3 |
|
||||
| 10401 | 65 | 1 | 1997-01-01 | 1 |
|
||||
| 10402 | 20 | 8 | 1997-01-02 | 2 |
|
||||
| 10403 | 20 | 4 | 1997-01-03 | 3 |
|
||||
| 10404 | 49 | 2 | 1997-01-03 | 1 |
|
||||
| 10405 | 47 | 1 | 1997-01-06 | 1 |
|
||||
| 10406 | 62 | 7 | 1997-01-07 | 1 |
|
||||
| 10407 | 56 | 2 | 1997-01-07 | 2 |
|
||||
| 10408 | 23 | 8 | 1997-01-08 | 1 |
|
||||
| 10409 | 54 | 3 | 1997-01-09 | 1 |
|
||||
| 10410 | 10 | 3 | 1997-01-10 | 3 |
|
||||
| 10411 | 10 | 9 | 1997-01-10 | 3 |
|
||||
| 10412 | 87 | 8 | 1997-01-13 | 2 |
|
||||
| 10413 | 41 | 3 | 1997-01-14 | 2 |
|
||||
| 10414 | 21 | 2 | 1997-01-14 | 3 |
|
||||
| 10415 | 36 | 3 | 1997-01-15 | 1 |
|
||||
| 10416 | 87 | 8 | 1997-01-16 | 3 |
|
||||
| 10417 | 73 | 4 | 1997-01-16 | 3 |
|
||||
| 10418 | 63 | 4 | 1997-01-17 | 1 |
|
||||
| 10419 | 68 | 4 | 1997-01-20 | 2 |
|
||||
| 10420 | 88 | 3 | 1997-01-21 | 1 |
|
||||
| 10421 | 61 | 8 | 1997-01-21 | 1 |
|
||||
| 10422 | 27 | 2 | 1997-01-22 | 1 |
|
||||
| 10423 | 31 | 6 | 1997-01-23 | 3 |
|
||||
| 10424 | 51 | 7 | 1997-01-23 | 2 |
|
||||
| 10425 | 41 | 6 | 1997-01-24 | 2 |
|
||||
| 10426 | 29 | 4 | 1997-01-27 | 1 |
|
||||
| 10427 | 59 | 4 | 1997-01-27 | 2 |
|
||||
| 10428 | 66 | 7 | 1997-01-28 | 1 |
|
||||
| 10429 | 37 | 3 | 1997-01-29 | 2 |
|
||||
| 10430 | 20 | 4 | 1997-01-30 | 1 |
|
||||
| 10431 | 10 | 4 | 1997-01-30 | 2 |
|
||||
| 10432 | 75 | 3 | 1997-01-31 | 2 |
|
||||
| 10433 | 60 | 3 | 1997-02-03 | 3 |
|
||||
| 10434 | 24 | 3 | 1997-02-03 | 2 |
|
||||
| 10435 | 16 | 8 | 1997-02-04 | 2 |
|
||||
| 10436 | 7 | 3 | 1997-02-05 | 2 |
|
||||
| 10437 | 87 | 8 | 1997-02-05 | 1 |
|
||||
| 10438 | 79 | 3 | 1997-02-06 | 2 |
|
||||
| 10439 | 51 | 6 | 1997-02-07 | 3 |
|
||||
| 10440 | 71 | 4 | 1997-02-10 | 2 |
|
||||
| 10441 | 55 | 3 | 1997-02-10 | 2 |
|
||||
| 10442 | 20 | 3 | 1997-02-11 | 2 |
|
||||
| 10443 | 66 | 8 | 1997-02-12 | 1 |
|
||||
|
||||
## Products
|
||||
| ProductID | ProductName | SupplierID | CategoryID | Unit | Price |
|
||||
| -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Chais | 1 | 1 | 10 boxes x 20 bags | 18 |
|
||||
| 2 | Chang | 1 | 1 | 24 - 12 oz bottles | 19 |
|
||||
| 3 | Aniseed Syrup | 1 | 2 | 12 - 550 ml bottles | 10 |
|
||||
| 4 | Chef Anton's Cajun Seasoning | 2 | 2 | 48 - 6 oz jars | 22 |
|
||||
| 5 | Chef Anton's Gumbo Mix | 2 | 2 | 36 boxes | 21.35 |
|
||||
| 6 | Grandma's Boysenberry Spread | 3 | 2 | 12 - 8 oz jars | 25 |
|
||||
| 7 | Uncle Bob's Organic Dried Pears | 3 | 7 | 12 - 1 lb pkgs. | 30 |
|
||||
| 8 | Northwoods Cranberry Sauce | 3 | 2 | 12 - 12 oz jars | 40 |
|
||||
| 9 | Mishi Kobe Niku | 4 | 6 | 18 - 500 g pkgs. | 97 |
|
||||
| 10 | Ikura | 4 | 8 | 12 - 200 ml jars | 31 |
|
||||
| 11 | Queso Cabrales | 5 | 4 | 1 kg pkg. | 21 |
|
||||
| 12 | Queso Manchego La Pastora | 5 | 4 | 10 - 500 g pkgs. | 38 |
|
||||
| 13 | Konbu | 6 | 8 | 2 kg box | 6 |
|
||||
| 14 | Tofu | 6 | 7 | 40 - 100 g pkgs. | 23.25 |
|
||||
| 15 | Genen Shouyu | 6 | 2 | 24 - 250 ml bottles | 15.5 |
|
||||
| 16 | Pavlova | 7 | 3 | 32 - 500 g boxes | 17.45 |
|
||||
| 17 | Alice Mutton | 7 | 6 | 20 - 1 kg tins | 39 |
|
||||
| 18 | Carnarvon Tigers | 7 | 8 | 16 kg pkg. | 62.5 |
|
||||
| 19 | Teatime Chocolate Biscuits | 8 | 3 | 10 boxes x 12 pieces | 9.2 |
|
||||
| 20 | Sir Rodney's Marmalade | 8 | 3 | 30 gift boxes | 81 |
|
||||
| 21 | Sir Rodney's Scones | 8 | 3 | 24 pkgs. x 4 pieces | 10 |
|
||||
| 22 | Gustaf's Knäckebröd | 9 | 5 | 24 - 500 g pkgs. | 21 |
|
||||
| 23 | Tunnbröd | 9 | 5 | 12 - 250 g pkgs. | 9 |
|
||||
| 24 | Guaraná Fantástica | 10 | 1 | 12 - 355 ml cans | 4.5 |
|
||||
| 25 | NuNuCa Nuß-Nougat-Creme | 11 | 3 | 20 - 450 g glasses | 14 |
|
||||
| 26 | Gumbär Gummibärchen | 11 | 3 | 100 - 250 g bags | 31.23 |
|
||||
| 27 | Schoggi Schokolade | 11 | 3 | 100 - 100 g pieces | 43.9 |
|
||||
| 28 | Rössle Sauerkraut | 12 | 7 | 25 - 825 g cans | 45.6 |
|
||||
| 29 | Thüringer Rostbratwurst | 12 | 6 | 50 bags x 30 sausgs. | 123.79 |
|
||||
| 30 | Nord-Ost Matjeshering | 13 | 8 | 10 - 200 g glasses | 25.89 |
|
||||
| 31 | Gorgonzola Telino | 14 | 4 | 12 - 100 g pkgs | 12.5 |
|
||||
| 32 | Mascarpone Fabioli | 14 | 4 | 24 - 200 g pkgs. | 32 |
|
||||
| 33 | Geitost | 15 | 4 | 500 g | 2.5 |
|
||||
| 34 | Sasquatch Ale | 16 | 1 | 24 - 12 oz bottles | 14 |
|
||||
| 35 | Steeleye Stout | 16 | 1 | 24 - 12 oz bottles | 18 |
|
||||
| 36 | Inlagd Sill | 17 | 8 | 24 - 250 g jars | 19 |
|
||||
| 37 | Gravad lax | 17 | 8 | 12 - 500 g pkgs. | 26 |
|
||||
| 38 | Côte de Blaye | 18 | 1 | 12 - 75 cl bottles | 263.5 |
|
||||
| 39 | Chartreuse verte | 18 | 1 | 750 cc per bottle | 18 |
|
||||
| 40 | Boston Crab Meat | 19 | 8 | 24 - 4 oz tins | 18.4 |
|
||||
| 41 | Jack's New England Clam Chowder | 19 | 8 | 12 - 12 oz cans | 9.65 |
|
||||
| 42 | Singaporean Hokkien Fried Mee | 20 | 5 | 32 - 1 kg pkgs. | 14 |
|
||||
| 43 | Ipoh Coffee | 20 | 1 | 16 - 500 g tins | 46 |
|
||||
| 44 | Gula Malacca | 20 | 2 | 20 - 2 kg bags | 19.45 |
|
||||
| 45 | Røgede sild | 21 | 8 | 1k pkg. | 9.5 |
|
||||
| 46 | Spegesild | 21 | 8 | 4 - 450 g glasses | 12 |
|
||||
| 47 | Zaanse koeken | 22 | 3 | 10 - 4 oz boxes | 9.5 |
|
||||
| 48 | Chocolade | 22 | 3 | 10 pkgs. | 12.75 |
|
||||
| 49 | Maxilaku | 23 | 3 | 24 - 50 g pkgs. | 20 |
|
||||
| 50 | Valkoinen suklaa | 23 | 3 | 12 - 100 g bars | 16.25 |
|
||||
| 51 | Manjimup Dried Apples | 24 | 7 | 50 - 300 g pkgs. | 53 |
|
||||
| 52 | Filo Mix | 24 | 5 | 16 - 2 kg boxes | 7 |
|
||||
| 53 | Perth Pasties | 24 | 6 | 48 pieces | 32.8 |
|
||||
| 54 | Tourtière | 25 | 6 | 16 pies | 7.45 |
|
||||
| 55 | Pâté chinois | 25 | 6 | 24 boxes x 2 pies | 24 |
|
||||
| 56 | Gnocchi di nonna Alice | 26 | 5 | 24 - 250 g pkgs. | 38 |
|
||||
| 57 | Ravioli Angelo | 26 | 5 | 24 - 250 g pkgs. | 19.5 |
|
||||
| 58 | Escargots de Bourgogne | 27 | 8 | 24 pieces | 13.25 |
|
||||
| 59 | Raclette Courdavault | 28 | 4 | 5 kg pkg. | 55 |
|
||||
| 60 | Camembert Pierrot | 28 | 4 | 15 - 300 g rounds | 34 |
|
||||
| 61 | Sirop d'érable | 29 | 2 | 24 - 500 ml bottles | 28.5 |
|
||||
| 62 | Tarte au sucre | 29 | 3 | 48 pies | 49.3 |
|
||||
| 63 | Vegie-spread | 7 | 2 | 15 - 625 g jars | 43.9 |
|
||||
| 64 | Wimmers gute Semmelknödel | 12 | 5 | 20 bags x 4 pieces | 33.25 |
|
||||
| 65 | Louisiana Fiery Hot Pepper Sauce | 2 | 2 | 32 - 8 oz bottles | 21.05 |
|
||||
| 66 | Louisiana Hot Spiced Okra | 2 | 2 | 24 - 8 oz jars | 17 |
|
||||
| 67 | Laughing Lumberjack Lager | 16 | 1 | 24 - 12 oz bottles | 14 |
|
||||
| 68 | Scottish Longbreads | 8 | 3 | 10 boxes x 8 pieces | 12.5 |
|
||||
| 69 | Gudbrandsdalsost | 15 | 4 | 10 kg pkg. | 36 |
|
||||
| 70 | Outback Lager | 7 | 1 | 24 - 355 ml bottles | 15 |
|
||||
| 71 | Fløtemysost | 15 | 4 | 10 - 500 g pkgs. | 21.5 |
|
||||
| 72 | Mozzarella di Giovanni | 14 | 4 | 24 - 200 g pkgs. | 34.8 |
|
||||
| 73 | Röd Kaviar | 17 | 8 | 24 - 150 g jars | 15 |
|
||||
| 74 | Longlife Tofu | 4 | 7 | 5 kg pkg. | 10 |
|
||||
| 75 | Rhönbräu Klosterbier | 12 | 1 | 24 - 0.5 l bottles | 7.75 |
|
||||
| 76 | Lakkalikööri | 23 | 1 | 500 ml | 18 |
|
||||
| 77 | Original Frankfurter grüne Soße | 12 | 2 | 12 boxes | 13 |
|
||||
|
||||
## Shippers
|
||||
| ShipperID | ShipperName | Phone |
|
||||
| -- | -- | -- |
|
||||
| 1 | Speedy Express | (503) 555-9831 |
|
||||
| 2 | United Package | (503) 555-3199 |
|
||||
| 3 | Federal Shipping | (503) 555-9931 |
|
||||
|
||||
## Suppliers
|
||||
| SupplierID | SupplierName | ContactName | Address | City | PostalCode | Country | Phone |
|
||||
| -- | -- | -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Exotic Liquid | Charlotte Cooper | 49 Gilbert St. | Londona | EC1 4SD | UK | (171) 555-2222 |
|
||||
| 2 | New Orleans Cajun Delights | Shelley Burke | P.O. Box 78934 | New Orleans | 70117 | USA | (100) 555-4822 |
|
||||
| 3 | Grandma Kelly's Homestead | Regina Murphy | 707 Oxford Rd. | Ann Arbor | 48104 | USA | (313) 555-5735 |
|
||||
| 4 | Tokyo Traders | Yoshi Nagase | 9-8 Sekimai Musashino-shi | Tokyo | 100 | Japan | (03) 3555-5011 |
|
||||
| 5 | Cooperativa de Quesos 'Las Cabras' | Antonio del Valle Saavedra | Calle del Rosal 4 | Oviedo | 33007 | Spain | (98) 598 76 54 |
|
||||
| 6 | Mayumi's | Mayumi Ohno | 92 Setsuko Chuo-ku | Osaka | 545 | Japan | (06) 431-7877 |
|
||||
| 7 | Pavlova, Ltd. | Ian Devling | 74 Rose St. Moonie Ponds | Melbourne | 3058 | Australia | (03) 444-2343 |
|
||||
| 8 | Specialty Biscuits, Ltd. | Peter Wilson | 29 King's Way | Manchester | M14 GSD | UK | (161) 555-4448 |
|
||||
| 9 | PB Knäckebröd AB | Lars Peterson | Kaloadagatan 13 | Göteborg | S-345 67 | Sweden | 031-987 65 43 |
|
||||
| 10 | Refrescos Americanas LTDA | Carlos Diaz | Av. das Americanas 12.890 | São Paulo | 5442 | Brazil | (11) 555 4640 |
|
||||
| 11 | Heli Süßwaren GmbH & Co. KG | Petra Winkler | Tiergartenstraße 5 | Berlin | 10785 | Germany | (010) 9984510 |
|
||||
| 12 | Plutzer Lebensmittelgroßmärkte AG | Martin Bein | Bogenallee 51 | Frankfurt | 60439 | Germany | (069) 992755 |
|
||||
| 13 | Nord-Ost-Fisch Handelsgesellschaft mbH | Sven Petersen | Frahmredder 112a | Cuxhaven | 27478 | Germany | (04721) 8713 |
|
||||
| 14 | Formaggi Fortini s.r.l. | Elio Rossi | Viale Dante, 75 | Ravenna | 48100 | Italy | (0544) 60323 |
|
||||
| 15 | Norske Meierier | Beate Vileid | Hatlevegen 5 | Sandvika | 1320 | Norway | (0)2-953010 |
|
||||
| 16 | Bigfoot Breweries | Cheryl Saylor | 3400 - 8th Avenue Suite 210 | Bend | 97101 | USA | (503) 555-9931 |
|
||||
| 17 | Svensk Sjöföda AB | Michael Björn | Brovallavägen 231 | Stockholm | S-123 45 | Sweden | 08-123 45 67 |
|
||||
| 18 | Aux joyeux ecclésiastiques | Guylène Nodier | 203, Rue des Francs-Bourgeois | Paris | 75004 | France | (1) 03.83.00.68 |
|
||||
| 19 | New England Seafood Cannery | Robb Merchant | Order Processing Dept. 2100 Paul Revere Blvd. | Boston | 2134 | USA | (617) 555-3267 |
|
||||
| 20 | Leka Trading | Chandra Leka | 471 Serangoon Loop, Suite #402 | Singapore | 512 | Singapore | 555-8787 |
|
||||
| 21 | Lyngbysild | Niels Petersen | Lyngbysild Fiskebakken 10 | Lyngby | 2800 | Denmark | 43844108 |
|
||||
| 22 | Zaanse Snoepfabriek | Dirk Luchte | Verkoop Rijnweg 22 | Zaandam | 9999 ZZ | Netherlands | (12345) 1212 |
|
||||
| 23 | Karkki Oy | Anne Heikkonen | Valtakatu 12 | Lappeenranta | 53120 | Finland | (953) 10956 |
|
||||
| 24 | G'day, Mate | Wendy Mackenzie | 170 Prince Edward Parade Hunter's Hill | Sydney | 2042 | Australia | (02) 555-5914 |
|
||||
| 25 | Ma Maison | Jean-Guy Lauzon | 2960 Rue St. Laurent | Montréal | H1J 1C3 | Canada | (514) 555-9022 |
|
||||
| 26 | Pasta Buttini s.r.l. | Giovanni Giudici | Via dei Gelsomini, 153 | Salerno | 84100 | Italy | (089) 6547665 |
|
||||
| 27 | Escargots Nouveaux | Marie Delamare | 22, rue H. Voiron | Montceau | 71300 | France | 85.57.00.07 |
|
||||
| 28 | Gai pâturage | Eliane Noz | Bat. B 3, rue des Alpes | Annecy | 74000 | France | 38.76.98.06 |
|
||||
| 29 | Forêts d'érables | Chantal Goulet | 148 rue Chasseur | Ste-Hyacinthe | J2S 7S8 | Canada | (514) 555-2955 |
|
||||
46
.tests/extract.js
Normal file
46
.tests/extract.js
Normal file
@ -0,0 +1,46 @@
|
||||
const FILENAME = "Employees.json";
|
||||
const KEYS = [
|
||||
"LastName",
|
||||
"FirstName",
|
||||
"BirthDate",
|
||||
"Photo",
|
||||
"Notes",
|
||||
]
|
||||
|
||||
let extractString = `tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Davolio","Nancy","1968-12-08","EmpID1.pic","Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of \'Toastmasters International\'.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Fuller","Andrew","1952-02-19","EmpID2.pic","Andrew received his BTS commercial and a Ph.D. in international marketing from the University of Dallas. He is fluent in French and Italian and reads German. He joined the company as a sales representative, was promoted to sales manager and was then named vice president of sales. Andrew is a member of the Sales Management Roundtable, the Seattle Chamber of Commerce, and the Pacific Rim Importers Association.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Leverling","Janet","1963-08-30","EmpID3.pic","Janet has a BS degree in chemistry from Boston College). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate and was promoted to sales representative.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Peacock","Margaret","1958-09-19","EmpID4.pic","Margaret holds a BA in English literature from Concordia College and an MA from the American Institute of Culinary Arts. She was temporarily assigned to the London office before returning to her permanent post in Seattle.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Buchanan","Steven","1955-03-04","EmpID5.pic","Steven Buchanan graduated from St. Andrews University, Scotland, with a BSC degree. Upon joining the company as a sales representative, he spent 6 months in an orientation program at the Seattle office and then returned to his permanent post in London, where he was promoted to sales manager. Mr. Buchanan has completed the courses \'Successful Telemarketing\' and \'International Sales Management\'. He is fluent in French.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Suyama","Michael","1963-07-02","EmpID6.pic","Michael is a graduate of Sussex University (MA, economics) and the University of California at Los Angeles (MBA, marketing). He has also taken the courses \'Multi-Cultural Selling\' and \'Time Management for the Sales Professional\'. He is fluent in Japanese and can read and write French, Portuguese, and Spanish.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("King","Robert","1960-05-29","EmpID7.pic","Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan and then joining the company. After completing a course entitled \'Selling in Europe\', he was transferred to the London office.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Callahan","Laura","1958-01-09","EmpID8.pic","Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("Dodsworth","Anne","1969-07-02","EmpID9.pic","Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German.")');
|
||||
tx.executeSql('INSERT INTO Employees (LastName,FirstName,BirthDate,Photo,Notes) VALUES ("West","Adam","1928-09-19","EmpID10.pic","An old chum.")');`
|
||||
|
||||
|
||||
const fs = require("fs");
|
||||
const path = require("path");
|
||||
|
||||
let lines = extractString.split("\n");
|
||||
lines = lines.map((line) => {
|
||||
line = line.trim();
|
||||
const valueStart = line.indexOf("(", line.indexOf("VALUES"));
|
||||
const valueEnd = line.indexOf("\")", valueStart);
|
||||
line = line.slice(valueStart+1,valueEnd);
|
||||
const regex = /"(.*?)"|([^,"]+)/g;
|
||||
let values = [...line.matchAll(regex)];
|
||||
return values.map(match => match[1] !== undefined ? match[1] : match[2].trim()).map(value => isNaN(value) ? value : Number(value));
|
||||
});
|
||||
|
||||
lines = lines.map(line => {
|
||||
const obj = {};
|
||||
for (let i = 0; i < KEYS.length; i++){
|
||||
obj[KEYS[i]] = line[i];
|
||||
}
|
||||
return obj;
|
||||
})
|
||||
|
||||
fs.writeFile(path.resolve(__dirname, "installRows", FILENAME), JSON.stringify(lines), "utf-8", (e)=>{
|
||||
console.log("DONE");
|
||||
})
|
||||
47
.tests/index.js
Normal file
47
.tests/index.js
Normal file
@ -0,0 +1,47 @@
|
||||
require("dotenv").config();
|
||||
console.log(process.env.USER);
|
||||
|
||||
const {awSQL, Structure} = require("../index");
|
||||
const install = require("./install");
|
||||
|
||||
const instance = awSQL.createInstance("schwarze-drya.de", process.env.USER, process.env.PASS, {defaultDatabase: process.env.DATABASE, multipleStatements: true});
|
||||
|
||||
async function main(){
|
||||
const result = await instance.connect();
|
||||
console.log(result);
|
||||
await install();
|
||||
|
||||
const databases = await instance.getDatabases();
|
||||
console.log(databases);
|
||||
const databasesWithoutSchema = await instance.getDatabases(true);
|
||||
console.log(databasesWithoutSchema);
|
||||
|
||||
/*const tables = await instance.getTables(process.env.DATABASE);
|
||||
console.log(tables);
|
||||
|
||||
//const dropResult = await instance.dropDatabase("awSQL_dev");
|
||||
//console.log(dropResult);
|
||||
|
||||
const dropResult = await instance.dropTable("Customers");
|
||||
console.log(dropResult);
|
||||
|
||||
//const createResult = await instance.createTable("Test").structure(new Structure().int("id", 255)).execute();
|
||||
//console.log(createResult);
|
||||
|
||||
const totalResult = await instance.total("Shippers");
|
||||
console.log(totalResult);*/
|
||||
|
||||
const filteredOrders = await instance.select("Orders") // Select table 'Orders'
|
||||
// Filter by orders where CustomerID are our desired ids.
|
||||
// Note that the values of ? are pushed in order into the value-array
|
||||
.where("CustomerID = ? OR CustomerID = ?", [90, 34])
|
||||
.execute();
|
||||
console.log(filteredOrders);
|
||||
|
||||
const orderedShipperNames = await instance.select("Shippers")
|
||||
.order("ShipperName")
|
||||
.execute();
|
||||
console.log(orderedShipperNames);
|
||||
}
|
||||
|
||||
main();
|
||||
111
.tests/install.js
Normal file
111
.tests/install.js
Normal file
@ -0,0 +1,111 @@
|
||||
const {Structure, awSQL} = require("../");
|
||||
const fs = require("fs").promises;
|
||||
const path = require("path");
|
||||
|
||||
const Customers = new Structure()
|
||||
.int("CustomerID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("CustomerName", 255)
|
||||
.varchar("ContactName", 255)
|
||||
.varchar("Address", 255)
|
||||
.varchar("City", 255)
|
||||
.varchar("PostalCode", 255)
|
||||
.varchar("Country")
|
||||
|
||||
const Categories = new Structure()
|
||||
.int("CategoryID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("CategoryName", 255)
|
||||
.text("Description")
|
||||
|
||||
const Employees = new Structure()
|
||||
.int("EmployeeID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("LastName", 255)
|
||||
.varchar("FirstName", 255)
|
||||
.varchar("BirthDate", 255)
|
||||
.varchar("Photo", 255)
|
||||
.text("Notes")
|
||||
|
||||
const OrderDetails = new Structure()
|
||||
.int("OrderDetailID", 255, {auto_increment: true, primary: true})
|
||||
.int("OrderID", 255)
|
||||
.int("ProductID", 255)
|
||||
.int("Quantity", 255)
|
||||
|
||||
const Orders = new Structure()
|
||||
.int("OrderID", 255, {auto_increment: true, primary: true})
|
||||
.int("CustomerID", 255)
|
||||
.int("EmployeeID", 255)
|
||||
.varchar("OrderDate",255)
|
||||
.int("ShipperID", 255)
|
||||
|
||||
const Products = new Structure()
|
||||
.int("ProductID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("ProductName", 255)
|
||||
.int("SupplierID", 255)
|
||||
.int("CategoryID", 255)
|
||||
.varchar("Unit", 255)
|
||||
.decimal("Price", 10, 2)
|
||||
|
||||
const Shippers = new Structure()
|
||||
.int("ShipperID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("ShipperName", 255)
|
||||
.varchar("Phone", 255)
|
||||
|
||||
const Suppliers = new Structure()
|
||||
.int("SupplierID", 255, {auto_increment: true, primary: true})
|
||||
.varchar("SupplierName", 255)
|
||||
.varchar("ContactName", 255)
|
||||
.varchar("Address", 255)
|
||||
.varchar("City", 255)
|
||||
.varchar("PostalCode", 255)
|
||||
.varchar("Country", 255)
|
||||
.varchar("Phone", 255)
|
||||
|
||||
async function install(){
|
||||
const TABLES = {
|
||||
Customers: {
|
||||
struc: Customers,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Customers.json")))
|
||||
},
|
||||
Categories: {
|
||||
struc: Categories,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Categories.json")))
|
||||
},
|
||||
Employees: {
|
||||
struc: Employees,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Employees.json")))
|
||||
},
|
||||
OrderDetails: {
|
||||
struc: OrderDetails,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "OrderDetails.json")))
|
||||
},
|
||||
Orders: {
|
||||
struc: Orders,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Orders.json")))
|
||||
},
|
||||
Products: {
|
||||
struc: Products,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Products.json")))
|
||||
},
|
||||
Shippers: {
|
||||
struc: Shippers,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Shippers.json"))),
|
||||
},
|
||||
Suppliers: {
|
||||
struc: Suppliers,
|
||||
data: JSON.parse(await fs.readFile(path.resolve(__dirname, "installRows", "Suppliers.json")))
|
||||
}
|
||||
}
|
||||
|
||||
const instance = awSQL.getInstance();
|
||||
|
||||
const existingTables = await instance.getTables(process.env.DATABASE);
|
||||
|
||||
for (let key in TABLES){
|
||||
if (existingTables.includes(key)){
|
||||
await instance.dropTable(key);
|
||||
}
|
||||
await instance.createTable(key).selectDatabase(process.env.DATABASE).structure(TABLES[key].struc).execute();
|
||||
await instance.insert(key).data(TABLES[key].data).execute();
|
||||
}
|
||||
}
|
||||
module.exports = install;
|
||||
1
.tests/installRows/Categories.json
Normal file
1
.tests/installRows/Categories.json
Normal file
@ -0,0 +1 @@
|
||||
[{"CategoryName":"Beverages","Description":"Soft drinks, coffees, teas, beers, and ales"},{"CategoryName":"Condiments","Description":"Sweet and savory sauces, relishes, spreads, and seasonings"},{"CategoryName":"Confections","Description":"Desserts, candies, and sweet breads"},{"CategoryName":"Dairy Products","Description":"Cheeses"},{"CategoryName":"Grains/Cereals","Description":"Breads, crackers, pasta, and cereal"},{"CategoryName":"Meat/Poultry","Description":"Prepared meats"},{"CategoryName":"Produce","Description":"Dried fruit and bean curd"},{"CategoryName":"Seafood","Description":"Seaweed and fish"}]
|
||||
1
.tests/installRows/Customers.json
Normal file
1
.tests/installRows/Customers.json
Normal file
File diff suppressed because one or more lines are too long
1
.tests/installRows/Employees.json
Normal file
1
.tests/installRows/Employees.json
Normal file
@ -0,0 +1 @@
|
||||
[{"LastName":"Davolio","FirstName":"Nancy","BirthDate":"1968-12-08","Photo":"EmpID1.pic","Notes":"Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'."},{"LastName":"Fuller","FirstName":"Andrew","BirthDate":"1952-02-19","Photo":"EmpID2.pic","Notes":"Andrew received his BTS commercial and a Ph.D. in international marketing from the University of Dallas. He is fluent in French and Italian and reads German. He joined the company as a sales representative"},{"LastName":"Leverling","FirstName":"Janet","BirthDate":"1963-08-30","Photo":"EmpID3.pic","Notes":"Janet has a BS degree in chemistry from Boston College). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate and was promoted to sales representative."},{"LastName":"Peacock","FirstName":"Margaret","BirthDate":"1958-09-19","Photo":"EmpID4.pic","Notes":"Margaret holds a BA in English literature from Concordia College and an MA from the American Institute of Culinary Arts. She was temporarily assigned to the London office before returning to her permanent post in Seattle."},{"LastName":"Buchanan","FirstName":"Steven","BirthDate":"1955-03-04","Photo":"EmpID5.pic","Notes":"Steven Buchanan graduated from St. Andrews University"},{"LastName":"Suyama","FirstName":"Michael","BirthDate":"1963-07-02","Photo":"EmpID6.pic","Notes":"Michael is a graduate of Sussex University (MA"},{"LastName":"King","FirstName":"Robert","BirthDate":"1960-05-29","Photo":"EmpID7.pic","Notes":"Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan and then joining the company. After completing a course entitled 'Selling in Europe'"},{"LastName":"Callahan","FirstName":"Laura","BirthDate":"1958-01-09","Photo":"EmpID8.pic","Notes":"Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French."},{"LastName":"Dodsworth","FirstName":"Anne","BirthDate":"1969-07-02","Photo":"EmpID9.pic","Notes":"Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German."},{"LastName":"West","FirstName":"Adam","BirthDate":"1928-09-19","Photo":"EmpID10.pic","Notes":"An old chum."}]
|
||||
1
.tests/installRows/OrderDetails.json
Normal file
1
.tests/installRows/OrderDetails.json
Normal file
File diff suppressed because one or more lines are too long
1
.tests/installRows/Orders.json
Normal file
1
.tests/installRows/Orders.json
Normal file
File diff suppressed because one or more lines are too long
1
.tests/installRows/Products.json
Normal file
1
.tests/installRows/Products.json
Normal file
File diff suppressed because one or more lines are too long
1
.tests/installRows/Shippers.json
Normal file
1
.tests/installRows/Shippers.json
Normal file
@ -0,0 +1 @@
|
||||
[{"ShipperID":1,"ShipperName":"Speedy Express","Phone":"(503) 555-9831"},{"ShipperID":2,"ShipperName":"United Package","Phone":"(503) 555-3199"},{"ShipperID":3,"ShipperName":"Federal Shipping","Phone":"(503) 555-9931"}]
|
||||
1
.tests/installRows/Suppliers.json
Normal file
1
.tests/installRows/Suppliers.json
Normal file
File diff suppressed because one or more lines are too long
52
.tests/writeMarkdown.js
Normal file
52
.tests/writeMarkdown.js
Normal file
@ -0,0 +1,52 @@
|
||||
const path = require("path");
|
||||
const {awSQL} = require("../index");
|
||||
require("dotenv").config();
|
||||
|
||||
const fs = require("fs").promises;
|
||||
|
||||
const instance = awSQL.createInstance("schwarze-drya.de", process.env.USER, process.env.PASS, {defaultDatabase: process.env.DATABASE, multipleStatements: true});
|
||||
|
||||
async function main(){
|
||||
|
||||
const result = await instance.connect();
|
||||
const Categories = await instance.select("Categories").execute();
|
||||
let md = `# Tables\n\n`;
|
||||
md+=genTable("Categories", Categories);
|
||||
md+="\n\n";
|
||||
md+=genTable("Customers", await instance.select("Customers").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("Employees", await instance.select("Employees").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("OrderDetails", await instance.select("OrderDetails").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("Orders", await instance.select("Orders").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("Products", await instance.select("Products").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("Shippers", await instance.select("Shippers").execute());
|
||||
md+="\n\n";
|
||||
md+=genTable("Suppliers", await instance.select("Suppliers").execute());
|
||||
await fs.writeFile(path.resolve(__dirname, "database.md"), md, "utf-8");
|
||||
}
|
||||
|
||||
function genTable(header, rows){
|
||||
let md = `## ${header}`
|
||||
md += "\n| "
|
||||
for (let key in rows[0]){
|
||||
md += `${key} | `;
|
||||
}
|
||||
md += `\n`;
|
||||
for (let key in rows[0]){
|
||||
md += `| -- `;
|
||||
}
|
||||
md +="|"
|
||||
for (let row of rows){
|
||||
md+="\n| ";
|
||||
for (let key in row){
|
||||
md += `${row[key]} | `
|
||||
}
|
||||
}
|
||||
return md;
|
||||
}
|
||||
|
||||
main();
|
||||
File diff suppressed because one or more lines are too long
@ -1 +1 @@
|
||||
{"categoryGeneratedIndex":{"title":"Typedefs","description":"Here you can find all type definitions used by awSQL","slug":"/category/typedefs","permalink":"/awSQL/category/typedefs","sidebar":"defaultSidebar","navigation":{"previous":{"title":"AlterTable","permalink":"/awSQL/classes/alter-table"},"next":{"title":"ColumnStructure","permalink":"/awSQL/typedefs/column-structure"}}}}
|
||||
{"categoryGeneratedIndex":{"title":"Typedefs","description":"Here you can find all type definitions used by awSQL","slug":"/category/typedefs","permalink":"/awSQL/category/typedefs","sidebar":"defaultSidebar","navigation":{"previous":{"title":"AlterTable","permalink":"/awSQL/classes/alter-table"},"next":{"title":"OkPacket","permalink":"/awSQL/typedefs/okpacket"}}}}
|
||||
@ -1,7 +1,7 @@
|
||||
{
|
||||
"id": "intro",
|
||||
"title": "Introduction",
|
||||
"description": "This documentation is far from being finished.",
|
||||
"description": "This documentation is still in development.",
|
||||
"source": "@site/docs/intro.md",
|
||||
"sourceDirName": ".",
|
||||
"slug": "/",
|
||||
|
||||
@ -10,14 +10,14 @@
|
||||
"unlisted": false,
|
||||
"tags": [],
|
||||
"version": "current",
|
||||
"sidebarPosition": 1,
|
||||
"sidebarPosition": 2,
|
||||
"frontMatter": {
|
||||
"sidebar_position": 1
|
||||
"sidebar_position": 2
|
||||
},
|
||||
"sidebar": "defaultSidebar",
|
||||
"previous": {
|
||||
"title": "Typedefs",
|
||||
"permalink": "/awSQL/category/typedefs"
|
||||
"title": "OkPacket",
|
||||
"permalink": "/awSQL/typedefs/okpacket"
|
||||
},
|
||||
"next": {
|
||||
"title": "ConstraintOptions",
|
||||
|
||||
@ -10,13 +10,17 @@
|
||||
"unlisted": false,
|
||||
"tags": [],
|
||||
"version": "current",
|
||||
"sidebarPosition": 2,
|
||||
"sidebarPosition": 3,
|
||||
"frontMatter": {
|
||||
"sidebar_position": 2
|
||||
"sidebar_position": 3
|
||||
},
|
||||
"sidebar": "defaultSidebar",
|
||||
"previous": {
|
||||
"title": "ColumnStructure",
|
||||
"permalink": "/awSQL/typedefs/column-structure"
|
||||
},
|
||||
"next": {
|
||||
"title": "Example Database",
|
||||
"permalink": "/awSQL/category/example-database"
|
||||
}
|
||||
}
|
||||
@ -55,6 +55,46 @@
|
||||
"path": "/awSQL/classes/update",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Categories",
|
||||
"path": "/awSQL/example-db/Categories",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Customers",
|
||||
"path": "/awSQL/example-db/Customers",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Employees",
|
||||
"path": "/awSQL/example-db/Employees",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/OrderDetails",
|
||||
"path": "/awSQL/example-db/OrderDetails",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Orders",
|
||||
"path": "/awSQL/example-db/Orders",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Products",
|
||||
"path": "/awSQL/example-db/Products",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Shippers",
|
||||
"path": "/awSQL/example-db/Shippers",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "example-db/Suppliers",
|
||||
"path": "/awSQL/example-db/Suppliers",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "intro",
|
||||
"path": "/awSQL/",
|
||||
@ -70,6 +110,11 @@
|
||||
"path": "/awSQL/typedefs/constraint-options",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "typedefs/okpacket",
|
||||
"path": "/awSQL/typedefs/okpacket",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "/category/classes",
|
||||
"path": "/awSQL/category/classes",
|
||||
@ -79,6 +124,11 @@
|
||||
"id": "/category/typedefs",
|
||||
"path": "/awSQL/category/typedefs",
|
||||
"sidebar": "defaultSidebar"
|
||||
},
|
||||
{
|
||||
"id": "/category/example-database",
|
||||
"path": "/awSQL/category/example-database",
|
||||
"sidebar": "defaultSidebar"
|
||||
}
|
||||
],
|
||||
"draftIds": [],
|
||||
|
||||
@ -1,22 +1,40 @@
|
||||
export default {
|
||||
"0e384e19": [() => import(/* webpackChunkName: "0e384e19" */ "@site/docs/intro.md"), "@site/docs/intro.md", require.resolveWeak("@site/docs/intro.md")],
|
||||
"14eb3368": [() => import(/* webpackChunkName: "14eb3368" */ "@theme/DocCategoryGeneratedIndexPage"), "@theme/DocCategoryGeneratedIndexPage", require.resolveWeak("@theme/DocCategoryGeneratedIndexPage")],
|
||||
"17896441": [() => import(/* webpackChunkName: "17896441" */ "@theme/DocItem"), "@theme/DocItem", require.resolveWeak("@theme/DocItem")],
|
||||
"23e85390": [() => import(/* webpackChunkName: "23e85390" */ "@site/docs/classes/select.md"), "@site/docs/classes/select.md", require.resolveWeak("@site/docs/classes/select.md")],
|
||||
"24da6c76": [() => import(/* webpackChunkName: "24da6c76" */ "@site/docs/classes/structure.md"), "@site/docs/classes/structure.md", require.resolveWeak("@site/docs/classes/structure.md")],
|
||||
"2ab12074": [() => import(/* webpackChunkName: "2ab12074" */ "@site/docs/classes/update.md"), "@site/docs/classes/update.md", require.resolveWeak("@site/docs/classes/update.md")],
|
||||
"3ee20894": [() => import(/* webpackChunkName: "3ee20894" */ "@site/docs/typedefs/column-structure.md"), "@site/docs/typedefs/column-structure.md", require.resolveWeak("@site/docs/typedefs/column-structure.md")],
|
||||
"58de6db1": [() => import(/* webpackChunkName: "58de6db1" */ "@site/docs/classes/insert.md"), "@site/docs/classes/insert.md", require.resolveWeak("@site/docs/classes/insert.md")],
|
||||
"5e95c892": [() => import(/* webpackChunkName: "5e95c892" */ "@theme/DocsRoot"), "@theme/DocsRoot", require.resolveWeak("@theme/DocsRoot")],
|
||||
"7617dfbd": [() => import(/* webpackChunkName: "7617dfbd" */ "@site/docs/classes/instance.md"), "@site/docs/classes/instance.md", require.resolveWeak("@site/docs/classes/instance.md")],
|
||||
"763f4ffe": [() => import(/* webpackChunkName: "763f4ffe" */ "@site/docs/classes/create-table.md"), "@site/docs/classes/create-table.md", require.resolveWeak("@site/docs/classes/create-table.md")],
|
||||
"7e36430b": [() => import(/* webpackChunkName: "7e36430b" */ "@site/docs/classes/delete.md"), "@site/docs/classes/delete.md", require.resolveWeak("@site/docs/classes/delete.md")],
|
||||
"a52c2351": [() => import(/* webpackChunkName: "a52c2351" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json")],
|
||||
"a6964e95": [() => import(/* webpackChunkName: "a6964e95" */ "@site/docs/typedefs/constraint-options.md"), "@site/docs/typedefs/constraint-options.md", require.resolveWeak("@site/docs/typedefs/constraint-options.md")],
|
||||
"a7bd4aaa": [() => import(/* webpackChunkName: "a7bd4aaa" */ "@theme/DocVersionRoot"), "@theme/DocVersionRoot", require.resolveWeak("@theme/DocVersionRoot")],
|
||||
"a94703ab": [() => import(/* webpackChunkName: "a94703ab" */ "@theme/DocRoot"), "@theme/DocRoot", require.resolveWeak("@theme/DocRoot")],
|
||||
"aba21aa0": [() => import(/* webpackChunkName: "aba21aa0" */ "@generated/docusaurus-plugin-content-docs/default/__plugin.json"), "@generated/docusaurus-plugin-content-docs/default/__plugin.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/__plugin.json")],
|
||||
"c8ec3168": [() => import(/* webpackChunkName: "c8ec3168" */ "@site/docs/classes/alter-table.md"), "@site/docs/classes/alter-table.md", require.resolveWeak("@site/docs/classes/alter-table.md")],
|
||||
"d7af1896": [() => import(/* webpackChunkName: "d7af1896" */ "@site/docs/classes/awsql.md"), "@site/docs/classes/awsql.md", require.resolveWeak("@site/docs/classes/awsql.md")],
|
||||
"e2f8b94f": [() => import(/* webpackChunkName: "e2f8b94f" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json")],
|
||||
"e393803f": [() => import(/* webpackChunkName: "e393803f" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json")],};
|
||||
"__comp---theme-debug-config-23-a-2ff": [() => import(/* webpackChunkName: "__comp---theme-debug-config-23-a-2ff" */ "@theme/DebugConfig"), "@theme/DebugConfig", require.resolveWeak("@theme/DebugConfig")],
|
||||
"__comp---theme-debug-contentba-8-ce7": [() => import(/* webpackChunkName: "__comp---theme-debug-contentba-8-ce7" */ "@theme/DebugContent"), "@theme/DebugContent", require.resolveWeak("@theme/DebugContent")],
|
||||
"__comp---theme-debug-global-dataede-0fa": [() => import(/* webpackChunkName: "__comp---theme-debug-global-dataede-0fa" */ "@theme/DebugGlobalData"), "@theme/DebugGlobalData", require.resolveWeak("@theme/DebugGlobalData")],
|
||||
"__comp---theme-debug-registry-679-501": [() => import(/* webpackChunkName: "__comp---theme-debug-registry-679-501" */ "@theme/DebugRegistry"), "@theme/DebugRegistry", require.resolveWeak("@theme/DebugRegistry")],
|
||||
"__comp---theme-debug-routes-946-699": [() => import(/* webpackChunkName: "__comp---theme-debug-routes-946-699" */ "@theme/DebugRoutes"), "@theme/DebugRoutes", require.resolveWeak("@theme/DebugRoutes")],
|
||||
"__comp---theme-debug-site-metadata-68-e-3d4": [() => import(/* webpackChunkName: "__comp---theme-debug-site-metadata-68-e-3d4" */ "@theme/DebugSiteMetadata"), "@theme/DebugSiteMetadata", require.resolveWeak("@theme/DebugSiteMetadata")],
|
||||
"__comp---theme-doc-category-generated-index-page-14-e-640": [() => import(/* webpackChunkName: "__comp---theme-doc-category-generated-index-page-14-e-640" */ "@theme/DocCategoryGeneratedIndexPage"), "@theme/DocCategoryGeneratedIndexPage", require.resolveWeak("@theme/DocCategoryGeneratedIndexPage")],
|
||||
"__comp---theme-doc-item-178-a40": [() => import(/* webpackChunkName: "__comp---theme-doc-item-178-a40" */ "@theme/DocItem"), "@theme/DocItem", require.resolveWeak("@theme/DocItem")],
|
||||
"__comp---theme-doc-roota-94-67a": [() => import(/* webpackChunkName: "__comp---theme-doc-roota-94-67a" */ "@theme/DocRoot"), "@theme/DocRoot", require.resolveWeak("@theme/DocRoot")],
|
||||
"__comp---theme-doc-version-roota-7-b-5de": [() => import(/* webpackChunkName: "__comp---theme-doc-version-roota-7-b-5de" */ "@theme/DocVersionRoot"), "@theme/DocVersionRoot", require.resolveWeak("@theme/DocVersionRoot")],
|
||||
"__comp---theme-docs-root-5-e-9-0b6": [() => import(/* webpackChunkName: "__comp---theme-docs-root-5-e-9-0b6" */ "@theme/DocsRoot"), "@theme/DocsRoot", require.resolveWeak("@theme/DocsRoot")],
|
||||
"__props---aw-sql-category-classesa-52-d2f": [() => import(/* webpackChunkName: "__props---aw-sql-category-classesa-52-d2f" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-classes-422.json")],
|
||||
"__props---aw-sql-category-example-databaseaf-1-524": [() => import(/* webpackChunkName: "__props---aw-sql-category-example-databaseaf-1-524" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-example-database-60a.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-example-database-60a.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-example-database-60a.json")],
|
||||
"__props---aw-sql-category-typedefse-39-0f9": [() => import(/* webpackChunkName: "__props---aw-sql-category-typedefse-39-0f9" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-category-typedefs-f23.json")],
|
||||
"__props---aw-sql-docusaurus-debug-content-66-f-60c": [() => import(/* webpackChunkName: "__props---aw-sql-docusaurus-debug-content-66-f-60c" */ "@generated/docusaurus-plugin-debug/default/p/aw-sql-docusaurus-debug-content-62f.json"), "@generated/docusaurus-plugin-debug/default/p/aw-sql-docusaurus-debug-content-62f.json", require.resolveWeak("@generated/docusaurus-plugin-debug/default/p/aw-sql-docusaurus-debug-content-62f.json")],
|
||||
"__props---aw-sql-e-2-f-827": [() => import(/* webpackChunkName: "__props---aw-sql-e-2-f-827" */ "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json"), "@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/p/aw-sql-974.json")],
|
||||
"content---aw-sql-0-e-3-1bb": [() => import(/* webpackChunkName: "content---aw-sql-0-e-3-1bb" */ "@site/docs/intro.md"), "@site/docs/intro.md", require.resolveWeak("@site/docs/intro.md")],
|
||||
"content---aw-sql-classes-alter-tablec-8-e-69f": [() => import(/* webpackChunkName: "content---aw-sql-classes-alter-tablec-8-e-69f" */ "@site/docs/classes/alter-table.md"), "@site/docs/classes/alter-table.md", require.resolveWeak("@site/docs/classes/alter-table.md")],
|
||||
"content---aw-sql-classes-awsqld-7-a-19a": [() => import(/* webpackChunkName: "content---aw-sql-classes-awsqld-7-a-19a" */ "@site/docs/classes/awsql.md"), "@site/docs/classes/awsql.md", require.resolveWeak("@site/docs/classes/awsql.md")],
|
||||
"content---aw-sql-classes-create-table-763-889": [() => import(/* webpackChunkName: "content---aw-sql-classes-create-table-763-889" */ "@site/docs/classes/create-table.md"), "@site/docs/classes/create-table.md", require.resolveWeak("@site/docs/classes/create-table.md")],
|
||||
"content---aw-sql-classes-delete-7-e-3-76b": [() => import(/* webpackChunkName: "content---aw-sql-classes-delete-7-e-3-76b" */ "@site/docs/classes/delete.md"), "@site/docs/classes/delete.md", require.resolveWeak("@site/docs/classes/delete.md")],
|
||||
"content---aw-sql-classes-insert-58-d-d90": [() => import(/* webpackChunkName: "content---aw-sql-classes-insert-58-d-d90" */ "@site/docs/classes/insert.md"), "@site/docs/classes/insert.md", require.resolveWeak("@site/docs/classes/insert.md")],
|
||||
"content---aw-sql-classes-instance-761-58c": [() => import(/* webpackChunkName: "content---aw-sql-classes-instance-761-58c" */ "@site/docs/classes/instance.md"), "@site/docs/classes/instance.md", require.resolveWeak("@site/docs/classes/instance.md")],
|
||||
"content---aw-sql-classes-select-23-e-4d1": [() => import(/* webpackChunkName: "content---aw-sql-classes-select-23-e-4d1" */ "@site/docs/classes/select.md"), "@site/docs/classes/select.md", require.resolveWeak("@site/docs/classes/select.md")],
|
||||
"content---aw-sql-classes-structure-24-d-e1f": [() => import(/* webpackChunkName: "content---aw-sql-classes-structure-24-d-e1f" */ "@site/docs/classes/structure.md"), "@site/docs/classes/structure.md", require.resolveWeak("@site/docs/classes/structure.md")],
|
||||
"content---aw-sql-classes-update-2-ab-944": [() => import(/* webpackChunkName: "content---aw-sql-classes-update-2-ab-944" */ "@site/docs/classes/update.md"), "@site/docs/classes/update.md", require.resolveWeak("@site/docs/classes/update.md")],
|
||||
"content---aw-sql-example-db-categoriesda-8-26c": [() => import(/* webpackChunkName: "content---aw-sql-example-db-categoriesda-8-26c" */ "@site/docs/example-db/Categories.md"), "@site/docs/example-db/Categories.md", require.resolveWeak("@site/docs/example-db/Categories.md")],
|
||||
"content---aw-sql-example-db-customersc-87-edf": [() => import(/* webpackChunkName: "content---aw-sql-example-db-customersc-87-edf" */ "@site/docs/example-db/Customers.md"), "@site/docs/example-db/Customers.md", require.resolveWeak("@site/docs/example-db/Customers.md")],
|
||||
"content---aw-sql-example-db-employees-29-b-9c7": [() => import(/* webpackChunkName: "content---aw-sql-example-db-employees-29-b-9c7" */ "@site/docs/example-db/Employees.md"), "@site/docs/example-db/Employees.md", require.resolveWeak("@site/docs/example-db/Employees.md")],
|
||||
"content---aw-sql-example-db-order-detailsf-80-973": [() => import(/* webpackChunkName: "content---aw-sql-example-db-order-detailsf-80-973" */ "@site/docs/example-db/OrderDetails.md"), "@site/docs/example-db/OrderDetails.md", require.resolveWeak("@site/docs/example-db/OrderDetails.md")],
|
||||
"content---aw-sql-example-db-orders-80-d-6a5": [() => import(/* webpackChunkName: "content---aw-sql-example-db-orders-80-d-6a5" */ "@site/docs/example-db/Orders.md"), "@site/docs/example-db/Orders.md", require.resolveWeak("@site/docs/example-db/Orders.md")],
|
||||
"content---aw-sql-example-db-products-4-aa-d67": [() => import(/* webpackChunkName: "content---aw-sql-example-db-products-4-aa-d67" */ "@site/docs/example-db/Products.md"), "@site/docs/example-db/Products.md", require.resolveWeak("@site/docs/example-db/Products.md")],
|
||||
"content---aw-sql-example-db-shippersb-4-c-a5e": [() => import(/* webpackChunkName: "content---aw-sql-example-db-shippersb-4-c-a5e" */ "@site/docs/example-db/Shippers.md"), "@site/docs/example-db/Shippers.md", require.resolveWeak("@site/docs/example-db/Shippers.md")],
|
||||
"content---aw-sql-example-db-suppliers-621-e92": [() => import(/* webpackChunkName: "content---aw-sql-example-db-suppliers-621-e92" */ "@site/docs/example-db/Suppliers.md"), "@site/docs/example-db/Suppliers.md", require.resolveWeak("@site/docs/example-db/Suppliers.md")],
|
||||
"content---aw-sql-typedefs-column-structure-3-ee-735": [() => import(/* webpackChunkName: "content---aw-sql-typedefs-column-structure-3-ee-735" */ "@site/docs/typedefs/column-structure.md"), "@site/docs/typedefs/column-structure.md", require.resolveWeak("@site/docs/typedefs/column-structure.md")],
|
||||
"content---aw-sql-typedefs-constraint-optionsa-69-ec9": [() => import(/* webpackChunkName: "content---aw-sql-typedefs-constraint-optionsa-69-ec9" */ "@site/docs/typedefs/constraint-options.md"), "@site/docs/typedefs/constraint-options.md", require.resolveWeak("@site/docs/typedefs/constraint-options.md")],
|
||||
"content---aw-sql-typedefs-okpacketb-52-840": [() => import(/* webpackChunkName: "content---aw-sql-typedefs-okpacketb-52-840" */ "@site/docs/typedefs/okpacket.md"), "@site/docs/typedefs/okpacket.md", require.resolveWeak("@site/docs/typedefs/okpacket.md")],
|
||||
"plugin---aw-sql-aba-d91": [() => import(/* webpackChunkName: "plugin---aw-sql-aba-d91" */ "@generated/docusaurus-plugin-content-docs/default/__plugin.json"), "@generated/docusaurus-plugin-content-docs/default/__plugin.json", require.resolveWeak("@generated/docusaurus-plugin-content-docs/default/__plugin.json")],
|
||||
"plugin---aw-sql-docusaurus-debugb-38-e62": [() => import(/* webpackChunkName: "plugin---aw-sql-docusaurus-debugb-38-e62" */ "@generated/docusaurus-plugin-debug/default/__plugin.json"), "@generated/docusaurus-plugin-debug/default/__plugin.json", require.resolveWeak("@generated/docusaurus-plugin-debug/default/__plugin.json")],};
|
||||
|
||||
@ -2,17 +2,52 @@ import React from 'react';
|
||||
import ComponentCreator from '@docusaurus/ComponentCreator';
|
||||
|
||||
export default [
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug', '53e'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/config',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/config', '599'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/content',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/content', 'cea'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/globalData',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/globalData', '2a0'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/metadata',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/metadata', 'd72'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/registry',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/registry', '1e7'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/__docusaurus/debug/routes',
|
||||
component: ComponentCreator('/awSQL/__docusaurus/debug/routes', 'e44'),
|
||||
exact: true
|
||||
},
|
||||
{
|
||||
path: '/awSQL/',
|
||||
component: ComponentCreator('/awSQL/', '66b'),
|
||||
component: ComponentCreator('/awSQL/', 'af5'),
|
||||
routes: [
|
||||
{
|
||||
path: '/awSQL/',
|
||||
component: ComponentCreator('/awSQL/', '1f2'),
|
||||
component: ComponentCreator('/awSQL/', '7d7'),
|
||||
routes: [
|
||||
{
|
||||
path: '/awSQL/',
|
||||
component: ComponentCreator('/awSQL/', '536'),
|
||||
component: ComponentCreator('/awSQL/', '266'),
|
||||
routes: [
|
||||
{
|
||||
path: '/awSQL/category/classes',
|
||||
@ -20,6 +55,12 @@ export default [
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/category/example-database',
|
||||
component: ComponentCreator('/awSQL/category/example-database', '427'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/category/typedefs',
|
||||
component: ComponentCreator('/awSQL/category/typedefs', '812'),
|
||||
@ -80,6 +121,54 @@ export default [
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Categories',
|
||||
component: ComponentCreator('/awSQL/example-db/Categories', '591'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Customers',
|
||||
component: ComponentCreator('/awSQL/example-db/Customers', '015'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Employees',
|
||||
component: ComponentCreator('/awSQL/example-db/Employees', '487'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/OrderDetails',
|
||||
component: ComponentCreator('/awSQL/example-db/OrderDetails', '9f0'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Orders',
|
||||
component: ComponentCreator('/awSQL/example-db/Orders', '2d4'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Products',
|
||||
component: ComponentCreator('/awSQL/example-db/Products', 'fe7'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Shippers',
|
||||
component: ComponentCreator('/awSQL/example-db/Shippers', '157'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/example-db/Suppliers',
|
||||
component: ComponentCreator('/awSQL/example-db/Suppliers', '961'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/typedefs/column-structure',
|
||||
component: ComponentCreator('/awSQL/typedefs/column-structure', '93b'),
|
||||
@ -92,6 +181,12 @@ export default [
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/typedefs/okpacket',
|
||||
component: ComponentCreator('/awSQL/typedefs/okpacket', 'e87'),
|
||||
exact: true,
|
||||
sidebar: "defaultSidebar"
|
||||
},
|
||||
{
|
||||
path: '/awSQL/',
|
||||
component: ComponentCreator('/awSQL/', '4a2'),
|
||||
|
||||
@ -1,71 +1,154 @@
|
||||
{
|
||||
"/awSQL/-66b": {
|
||||
"__comp": "5e95c892",
|
||||
"/awSQL/__docusaurus/debug-53e": {
|
||||
"__comp": "__comp---theme-debug-config-23-a-2ff",
|
||||
"__context": {
|
||||
"plugin": "aba21aa0"
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/-1f2": {
|
||||
"__comp": "a7bd4aaa",
|
||||
"__props": "e2f8b94f"
|
||||
"/awSQL/__docusaurus/debug/config-599": {
|
||||
"__comp": "__comp---theme-debug-config-23-a-2ff",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/-536": {
|
||||
"__comp": "a94703ab"
|
||||
"/awSQL/__docusaurus/debug/content-cea": {
|
||||
"__comp": "__comp---theme-debug-contentba-8-ce7",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
},
|
||||
"__props": "__props---aw-sql-docusaurus-debug-content-66-f-60c"
|
||||
},
|
||||
"/awSQL/__docusaurus/debug/globalData-2a0": {
|
||||
"__comp": "__comp---theme-debug-global-dataede-0fa",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/__docusaurus/debug/metadata-d72": {
|
||||
"__comp": "__comp---theme-debug-site-metadata-68-e-3d4",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/__docusaurus/debug/registry-1e7": {
|
||||
"__comp": "__comp---theme-debug-registry-679-501",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/__docusaurus/debug/routes-e44": {
|
||||
"__comp": "__comp---theme-debug-routes-946-699",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-docusaurus-debugb-38-e62"
|
||||
}
|
||||
},
|
||||
"/awSQL/-af5": {
|
||||
"__comp": "__comp---theme-docs-root-5-e-9-0b6",
|
||||
"__context": {
|
||||
"plugin": "plugin---aw-sql-aba-d91"
|
||||
}
|
||||
},
|
||||
"/awSQL/-7d7": {
|
||||
"__comp": "__comp---theme-doc-version-roota-7-b-5de",
|
||||
"__props": "__props---aw-sql-e-2-f-827"
|
||||
},
|
||||
"/awSQL/-266": {
|
||||
"__comp": "__comp---theme-doc-roota-94-67a"
|
||||
},
|
||||
"/awSQL/category/classes-4b4": {
|
||||
"__comp": "14eb3368",
|
||||
"__props": "a52c2351"
|
||||
"__comp": "__comp---theme-doc-category-generated-index-page-14-e-640",
|
||||
"__props": "__props---aw-sql-category-classesa-52-d2f"
|
||||
},
|
||||
"/awSQL/category/example-database-427": {
|
||||
"__comp": "__comp---theme-doc-category-generated-index-page-14-e-640",
|
||||
"__props": "__props---aw-sql-category-example-databaseaf-1-524"
|
||||
},
|
||||
"/awSQL/category/typedefs-812": {
|
||||
"__comp": "14eb3368",
|
||||
"__props": "e393803f"
|
||||
"__comp": "__comp---theme-doc-category-generated-index-page-14-e-640",
|
||||
"__props": "__props---aw-sql-category-typedefse-39-0f9"
|
||||
},
|
||||
"/awSQL/classes/alter-table-838": {
|
||||
"__comp": "17896441",
|
||||
"content": "c8ec3168"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-alter-tablec-8-e-69f"
|
||||
},
|
||||
"/awSQL/classes/awsql-62f": {
|
||||
"__comp": "17896441",
|
||||
"content": "d7af1896"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-awsqld-7-a-19a"
|
||||
},
|
||||
"/awSQL/classes/create-table-e6d": {
|
||||
"__comp": "17896441",
|
||||
"content": "763f4ffe"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-create-table-763-889"
|
||||
},
|
||||
"/awSQL/classes/delete-079": {
|
||||
"__comp": "17896441",
|
||||
"content": "7e36430b"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-delete-7-e-3-76b"
|
||||
},
|
||||
"/awSQL/classes/insert-e8b": {
|
||||
"__comp": "17896441",
|
||||
"content": "58de6db1"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-insert-58-d-d90"
|
||||
},
|
||||
"/awSQL/classes/instance-928": {
|
||||
"__comp": "17896441",
|
||||
"content": "7617dfbd"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-instance-761-58c"
|
||||
},
|
||||
"/awSQL/classes/select-06d": {
|
||||
"__comp": "17896441",
|
||||
"content": "23e85390"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-select-23-e-4d1"
|
||||
},
|
||||
"/awSQL/classes/structure-0a8": {
|
||||
"__comp": "17896441",
|
||||
"content": "24da6c76"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-structure-24-d-e1f"
|
||||
},
|
||||
"/awSQL/classes/update-d2e": {
|
||||
"__comp": "17896441",
|
||||
"content": "2ab12074"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-classes-update-2-ab-944"
|
||||
},
|
||||
"/awSQL/example-db/Categories-591": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-categoriesda-8-26c"
|
||||
},
|
||||
"/awSQL/example-db/Customers-015": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-customersc-87-edf"
|
||||
},
|
||||
"/awSQL/example-db/Employees-487": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-employees-29-b-9c7"
|
||||
},
|
||||
"/awSQL/example-db/OrderDetails-9f0": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-order-detailsf-80-973"
|
||||
},
|
||||
"/awSQL/example-db/Orders-2d4": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-orders-80-d-6a5"
|
||||
},
|
||||
"/awSQL/example-db/Products-fe7": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-products-4-aa-d67"
|
||||
},
|
||||
"/awSQL/example-db/Shippers-157": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-shippersb-4-c-a5e"
|
||||
},
|
||||
"/awSQL/example-db/Suppliers-961": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-example-db-suppliers-621-e92"
|
||||
},
|
||||
"/awSQL/typedefs/column-structure-93b": {
|
||||
"__comp": "17896441",
|
||||
"content": "3ee20894"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-typedefs-column-structure-3-ee-735"
|
||||
},
|
||||
"/awSQL/typedefs/constraint-options-75a": {
|
||||
"__comp": "17896441",
|
||||
"content": "a6964e95"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-typedefs-constraint-optionsa-69-ec9"
|
||||
},
|
||||
"/awSQL/typedefs/okpacket-e87": {
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-typedefs-okpacketb-52-840"
|
||||
},
|
||||
"/awSQL/-4a2": {
|
||||
"__comp": "17896441",
|
||||
"content": "0e384e19"
|
||||
"__comp": "__comp---theme-doc-item-178-a40",
|
||||
"content": "content---aw-sql-0-e-3-1bb"
|
||||
}
|
||||
}
|
||||
@ -17,9 +17,9 @@
|
||||
"name": "@docusaurus/plugin-content-pages",
|
||||
"version": "3.7.0"
|
||||
},
|
||||
"docusaurus-plugin-sitemap": {
|
||||
"docusaurus-plugin-debug": {
|
||||
"type": "package",
|
||||
"name": "@docusaurus/plugin-sitemap",
|
||||
"name": "@docusaurus/plugin-debug",
|
||||
"version": "3.7.0"
|
||||
},
|
||||
"docusaurus-plugin-svgr": {
|
||||
|
||||
@ -69,6 +69,18 @@ Returns a list of database names the user has access to
|
||||
|
||||
→ __Array__\<__String__\>
|
||||
|
||||
**Example**
|
||||
|
||||
```js showLineNumbers
|
||||
const databases = await instance.getDatabases();
|
||||
console.log(databases); // ['awSQL_dev','information_schema']
|
||||
```
|
||||
|
||||
```js title="Excluding default database 'information_schema'" showLineNumbers
|
||||
const databasesWithoutSchema = await instance.getDatabases(true);
|
||||
console.log(databasesWithoutSchema); // ['awSQL_dev']
|
||||
```
|
||||
|
||||
***
|
||||
|
||||
### selectDatabase()
|
||||
@ -105,6 +117,24 @@ Returns a list of tables for the selected database
|
||||
|
||||
→ __Array__\<__String__\>
|
||||
|
||||
**Example**
|
||||
|
||||
```js showLineNumbers
|
||||
const tables = await instance.getTables("awSQL_dev"); // Getting tables of database "awSQL_dev"
|
||||
```
|
||||
```json title="Result" showLineNumbers
|
||||
[
|
||||
'Categories',
|
||||
'Customers',
|
||||
'Employees',
|
||||
'OrderDetails',
|
||||
'Orders',
|
||||
'Products',
|
||||
'Shippers',
|
||||
'Suppliers'
|
||||
]
|
||||
```
|
||||
|
||||
***
|
||||
|
||||
### select()
|
||||
@ -177,7 +207,7 @@ Prepares a new query to update data.
|
||||
***
|
||||
|
||||
### dropDatabase()
|
||||
`async` → (`database` = __String__) → __any__
|
||||
`async` → (`database` = __String__) → [OkPacket](../typedefs/okpacket)
|
||||
|
||||
Drops a whole database
|
||||
- Requires admin privileges
|
||||
@ -190,12 +220,12 @@ Drops a whole database
|
||||
|
||||
**Returns**
|
||||
|
||||
→ __any__ - Whatever the query result is
|
||||
→ [OkPacket](../typedefs/okpacket)
|
||||
|
||||
***
|
||||
|
||||
### dropTable()
|
||||
`async` → (`table` = __String__) → __any__
|
||||
`async` → (`table` = __String__) → [OkPacket](../typedefs/okpacket)
|
||||
|
||||
Drops a whole table.
|
||||
|
||||
@ -211,15 +241,19 @@ A default database must be set with [selectDatabase()](#selectdatabase)
|
||||
|
||||
**Returns**
|
||||
|
||||
→ __any__ - Whatever the query result is
|
||||
→ [OkPacket](../typedefs/okpacket)
|
||||
|
||||
***
|
||||
|
||||
### createDatabase()
|
||||
`async` → (`name` = __String__) → __any__
|
||||
`async` → (`name` = __String__) → [OkPacket](../typedefs/okpacket)
|
||||
|
||||
Creates a new database.
|
||||
- Requires admin privileges
|
||||
|
||||
:::danger Possible crash
|
||||
- Requires admin privileges, crashes otherwise
|
||||
- Crashes if the database already exists
|
||||
:::
|
||||
|
||||
**Parameters**
|
||||
|
||||
@ -229,7 +263,7 @@ Creates a new database.
|
||||
|
||||
**Returns**
|
||||
|
||||
→ __any__ - Whatever the query result is
|
||||
→ [OkPacket](../typedefs/okpacket)
|
||||
|
||||
***
|
||||
|
||||
@ -238,6 +272,10 @@ Creates a new database.
|
||||
|
||||
Prepares to create a new table.
|
||||
|
||||
:::danger Possible crash
|
||||
Crashes if the table already exists
|
||||
:::
|
||||
|
||||
**Parameters**
|
||||
|
||||
| Parameter | Type | Description |
|
||||
|
||||
@ -28,7 +28,7 @@ Selects a different database for this query.
|
||||
### distinct()
|
||||
→ () → `this`
|
||||
|
||||
Adds the 'distinct' keyword to this query
|
||||
Adds the 'distinct' keyword to this query.
|
||||
|
||||
- With 'distinct' only unique values are returned
|
||||
|
||||
@ -36,6 +36,30 @@ Adds the 'distinct' keyword to this query
|
||||
|
||||
→ `this`
|
||||
|
||||
**Example**
|
||||
|
||||
Scenario: We want to get the `EmployeeID`s of the Employees that have open orders in [Orders](../example-db/Orders)
|
||||
|
||||
```js showLineNumbers
|
||||
const empOrders = await instance.select("Orders", "EmployeeID") // Select table "Orders" and column "EmployeeID"
|
||||
.distinct() // Only get unique EmployeeIDs
|
||||
.execute();
|
||||
console.log(empOrders);
|
||||
/*
|
||||
[
|
||||
RowDataPacket { EmployeeID: 5 },
|
||||
RowDataPacket { EmployeeID: 6 },
|
||||
RowDataPacket { EmployeeID: 4 },
|
||||
RowDataPacket { EmployeeID: 3 },
|
||||
RowDataPacket { EmployeeID: 9 },
|
||||
RowDataPacket { EmployeeID: 1 },
|
||||
RowDataPacket { EmployeeID: 8 },
|
||||
RowDataPacket { EmployeeID: 2 },
|
||||
RowDataPacket { EmployeeID: 7 }
|
||||
]
|
||||
*/
|
||||
```
|
||||
|
||||
***
|
||||
|
||||
### where()
|
||||
@ -57,6 +81,44 @@ Adds a where-clause to the query
|
||||
|
||||
→ `this`
|
||||
|
||||
**Example**
|
||||
|
||||
Scenario: We only want to get the [Orders](../example-db/Orders) from the Customers with the id `90` and `34`
|
||||
|
||||
```js showLineNumbers
|
||||
const filteredOrders = await instance.select("Orders") // Select table 'Orders'
|
||||
// Filter by orders where CustomerID are our desired ids.
|
||||
// Note that the values of ? are pushed in order into the value-array
|
||||
.where("CustomerID = ? OR CustomerID = ?", [90, 34])
|
||||
.execute();
|
||||
console.log(filteredOrders);
|
||||
/*
|
||||
[
|
||||
RowDataPacket {
|
||||
OrderID: 10248,
|
||||
CustomerID: 90,
|
||||
EmployeeID: 5,
|
||||
OrderDate: '1996-07-04',
|
||||
ShipperID: 3
|
||||
},
|
||||
RowDataPacket {
|
||||
OrderID: 10250,
|
||||
CustomerID: 34,
|
||||
EmployeeID: 4,
|
||||
OrderDate: '1996-07-08',
|
||||
ShipperID: 2
|
||||
},
|
||||
RowDataPacket {
|
||||
OrderID: 10253,
|
||||
CustomerID: 34,
|
||||
EmployeeID: 3,
|
||||
OrderDate: '1996-07-10',
|
||||
ShipperID: 2
|
||||
}
|
||||
]
|
||||
*/
|
||||
```
|
||||
|
||||
***
|
||||
|
||||
### having()
|
||||
|
||||
12
docs/docusaurus/docs/example-db/Categories.md
Normal file
12
docs/docusaurus/docs/example-db/Categories.md
Normal file
@ -0,0 +1,12 @@
|
||||
# Table: Categories
|
||||
|
||||
| CategoryID | CategoryName | Description |
|
||||
| -- | -- | -- |
|
||||
| 1 | Beverages | Soft drinks, coffees, teas, beers, and ales |
|
||||
| 2 | Condiments | Sweet and savory sauces, relishes, spreads, and seasonings |
|
||||
| 3 | Confections | Desserts, candies, and sweet breads |
|
||||
| 4 | Dairy Products | Cheeses |
|
||||
| 5 | Grains/Cereals | Breads, crackers, pasta, and cereal |
|
||||
| 6 | Meat/Poultry | Prepared meats |
|
||||
| 7 | Produce | Dried fruit and bean curd |
|
||||
| 8 | Seafood | Seaweed and fish |
|
||||
95
docs/docusaurus/docs/example-db/Customers.md
Normal file
95
docs/docusaurus/docs/example-db/Customers.md
Normal file
@ -0,0 +1,95 @@
|
||||
# Table: Customers
|
||||
|
||||
| CustomerID | CustomerName | ContactName | Address | City | PostalCode | Country |
|
||||
| -- | -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Alfreds Futterkiste | Maria Anders | Obere Str. 57 | Berlin | 12209 | Germany |
|
||||
| 2 | Ana Trujillo Emparedados y helados | Ana Trujillo | Avda. de la Constitución 2222 | México D.F. | 5021 | Mexico |
|
||||
| 3 | Antonio Moreno Taquería | Antonio Moreno | Mataderos 2312 | México D.F. | 5023 | Mexico |
|
||||
| 4 | Around the Horn | Thomas Hardy | 120 Hanover Sq. | London | WA1 1DP | UK |
|
||||
| 5 | Berglunds snabbköp | Christina Berglund | Berguvsvägen 8 | Luleå | S-958 22 | Sweden |
|
||||
| 6 | Blauer See Delikatessen | Hanna Moos | Forsterstr. 57 | Mannheim | 68306 | Germany |
|
||||
| 7 | Blondel père et fils | Frédérique Citeaux | 24, place Kléber | Strasbourg | 67000 | France |
|
||||
| 8 | Bólido Comidas preparadas | Martín Sommer | C/ Araquil, 67 | Madrid | 28023 | Spain |
|
||||
| 9 | Bon app' | Laurence Lebihans | 12, rue des Bouchers | Marseille | 13008 | France |
|
||||
| 10 | Bottom-Dollar Marketse | Elizabeth Lincoln | 23 Tsawassen Blvd. | Tsawassen | T2F 8M4 | Canada |
|
||||
| 11 | B's Beverages | Victoria Ashworth | Fauntleroy Circus | London | EC2 5NT | UK |
|
||||
| 12 | Cactus Comidas para llevar | Patricio Simpson | Cerrito 333 | Buenos Aires | 1010 | Argentin |
|
||||
| 13 | Centro comercial Moctezuma | Francisco Chang | Sierras de Granada 9993 | México D.F. | 5022 | Mexico |
|
||||
| 14 | Chop-suey Chinese | Yang Wang | Hauptstr. 29 | Bern | 3012 | Switzerl |
|
||||
| 15 | Comércio Mineiro | Pedro Afonso | Av. dos Lusíadas, 23 | São Paulo | 05432-043 | Brazil |
|
||||
| 16 | Consolidated Holdings | Elizabeth Brown | Berkeley Gardens 12 Brewery | London | WX1 6LT | UK |
|
||||
| 17 | Drachenblut Delikatessend | Sven Ottlieb | Walserweg 21 | Aachen | 52066 | Germany |
|
||||
| 18 | Du monde entier | Janine Labrune | 67, rue des Cinquante Otages | Nantes | 44000 | France |
|
||||
| 19 | Eastern Connection | Ann Devon | 35 King George | London | WX3 6FW | UK |
|
||||
| 20 | Ernst Handel | Roland Mendel | Kirchgasse 6 | Graz | 8010 | Austria |
|
||||
| 21 | Familia Arquibaldo | Aria Cruz | Rua Orós, 92 | São Paulo | 05442-030 | Brazil |
|
||||
| 22 | FISSA Fabrica Inter. Salchichas S.A. | Diego Roel | C/ Moralzarzal, 86 | Madrid | 28034 | Spain |
|
||||
| 23 | Folies gourmandes | Martine Rancé | 184, chaussée de Tournai | Lille | 59000 | France |
|
||||
| 24 | Folk och fä HB | Maria Larsson | Åkergatan 24 | Bräcke | S-844 67 | Sweden |
|
||||
| 25 | Frankenversand | Peter Franken | Berliner Platz 43 | München | 80805 | Germany |
|
||||
| 26 | France restauration | Carine Schmitt | 54, rue Royale | Nantes | 44000 | France |
|
||||
| 27 | Franchi S.p.A. | Paolo Accorti | Via Monte Bianco 34 | Torino | 10100 | Italy |
|
||||
| 28 | Furia Bacalhau e Frutos do Mar | Lino Rodriguez | Jardim das rosas n. 32 | Lisboa | 1675 | Portugal |
|
||||
| 29 | Galería del gastrónomo | Eduardo Saavedra | Rambla de Cataluña, 23 | Barcelona | 8022 | Spain |
|
||||
| 30 | Godos Cocina Típica | José Pedro Freyre | C/ Romero, 33 | Sevilla | 41101 | Spain |
|
||||
| 31 | Gourmet Lanchonetes | André Fonseca | Av. Brasil, 442 | Campinas | 04876-786 | Brazil |
|
||||
| 32 | Great Lakes Food Market | Howard Snyder | 2732 Baker Blvd. | Eugene | 97403 | USA |
|
||||
| 33 | GROSELLA-Restaurante | Manuel Pereira | 5ª Ave. Los Palos Grandes | Caracas | 1081 | Venezuel |
|
||||
| 34 | Hanari Carnes | Mario Pontes | Rua do Paço, 67 | Rio de Janeiro | 05454-876 | Brazil |
|
||||
| 35 | HILARIÓN-Abastos | Carlos Hernández | Carrera 22 con Ave. Carlos Soublette #8-35 | San Cristóbal | 5022 | Venezuel |
|
||||
| 36 | Hungry Coyote Import Store | Yoshi Latimer | City Center Plaza 516 Main St. | Elgin | 97827 | USA |
|
||||
| 37 | Hungry Owl All-Night Grocers | Patricia McKenna | 8 Johnstown Road | Cork | 0 | Ireland |
|
||||
| 38 | Island Trading | Helen Bennett | Garden House Crowther Way | Cowes | PO31 7PJ | UK |
|
||||
| 39 | Königlich Essen | Philip Cramer | Maubelstr. 90 | Brandenburg | 14776 | Germany |
|
||||
| 40 | La corne d'abondance | Daniel Tonini | 67, avenue de l'Europe | Versailles | 78000 | France |
|
||||
| 41 | La maison d'Asie | Annette Roulet | 1 rue Alsace-Lorraine | Toulouse | 31000 | France |
|
||||
| 42 | Laughing Bacchus Wine Cellars | Yoshi Tannamuri | 1900 Oak St. | Vancouver | V3F 2K1 | Canada |
|
||||
| 43 | Lazy K Kountry Store | John Steel | 12 Orchestra Terrace | Walla Walla | 99362 | USA |
|
||||
| 44 | Lehmanns Marktstand | Renate Messner | Magazinweg 7 | Frankfurt a.M. | 60528 | Germany |
|
||||
| 45 | Let's Stop N Shop | Jaime Yorres | 87 Polk St. Suite 5 | San Francisco | 94117 | USA |
|
||||
| 46 | LILA-Supermercado | Carlos González | Carrera 52 con Ave. Bolívar #65-98 Llano Largo | Barquisimeto | 3508 | Venezuel |
|
||||
| 47 | LINO-Delicateses | Felipe Izquierdo | Ave. 5 de Mayo Porlamar | I. de Margarita | 4980 | Venezuel |
|
||||
| 48 | Lonesome Pine Restaurant | Fran Wilson | 89 Chiaroscuro Rd. | Portland | 97219 | USA |
|
||||
| 49 | Magazzini Alimentari Riuniti | Giovanni Rovelli | Via Ludovico il Moro 22 | Bergamo | 24100 | Italy |
|
||||
| 50 | Maison Dewey | Catherine Dewey | Rue Joseph-Bens 532 | Bruxelles | B-1180 | Belgium |
|
||||
| 51 | Mère Paillarde | Jean Fresnière | 43 rue St. Laurent | Montréal | H1J 1C3 | Canada |
|
||||
| 52 | Morgenstern Gesundkost | Alexander Feuer | Heerstr. 22 | Leipzig | 4179 | Germany |
|
||||
| 53 | North/South | Simon Crowther | South House 300 Queensbridge | London | SW7 1RZ | UK |
|
||||
| 54 | Océano Atlántico Ltda. | Yvonne Moncada | Ing. Gustavo Moncada 8585 Piso 20-A | Buenos Aires | 1010 | Argentin |
|
||||
| 55 | Old World Delicatessen | Rene Phillips | 2743 Bering St. | Anchorage | 99508 | USA |
|
||||
| 56 | Ottilies Käseladen | Henriette Pfalzheim | Mehrheimerstr. 369 | Köln | 50739 | Germany |
|
||||
| 57 | Paris spécialités | Marie Bertrand | 265, boulevard Charonne | Paris | 75012 | France |
|
||||
| 58 | Pericles Comidas clásicas | Guillermo Fernández | Calle Dr. Jorge Cash 321 | México D.F. | 5033 | Mexico |
|
||||
| 59 | Piccolo und mehr | Georg Pipps | Geislweg 14 | Salzburg | 5020 | Austria |
|
||||
| 60 | Princesa Isabel Vinhoss | Isabel de Castro | Estrada da saúde n. 58 | Lisboa | 1756 | Portugal |
|
||||
| 61 | Que Delícia | Bernardo Batista | Rua da Panificadora, 12 | Rio de Janeiro | 02389-673 | Brazil |
|
||||
| 62 | Queen Cozinha | Lúcia Carvalho | Alameda dos Canàrios, 891 | São Paulo | 05487-020 | Brazil |
|
||||
| 63 | QUICK-Stop | Horst Kloss | Taucherstraße 10 | Cunewalde | 1307 | Germany |
|
||||
| 64 | Rancho grande | Sergio Gutiérrez | Av. del Libertador 900 | Buenos Aires | 1010 | Argentin |
|
||||
| 65 | Rattlesnake Canyon Grocery | Paula Wilson | 2817 Milton Dr. | Albuquerque | 87110 | USA |
|
||||
| 66 | Reggiani Caseifici | Maurizio Moroni | Strada Provinciale 124 | Reggio Emilia | 42100 | Italy |
|
||||
| 67 | Ricardo Adocicados | Janete Limeira | Av. Copacabana, 267 | Rio de Janeiro | 02389-890 | Brazil |
|
||||
| 68 | Richter Supermarkt | Michael Holz | Grenzacherweg 237 | Genève | 1203 | Switzerl |
|
||||
| 69 | Romero y tomillo | Alejandra Camino | Gran Vía, 1 | Madrid | 28001 | Spain |
|
||||
| 70 | Santé Gourmet | Jonas Bergulfsen | Erling Skakkes gate 78 | Stavern | 4110 | Norway |
|
||||
| 71 | Save-a-lot Markets | Jose Pavarotti | 187 Suffolk Ln. | Boise | 83720 | USA |
|
||||
| 72 | Seven Seas Imports | Hari Kumar | 90 Wadhurst Rd. | London | OX15 4NB | UK |
|
||||
| 73 | Simons bistro | Jytte Petersen | Vinbæltet 34 | København | 1734 | Denmark |
|
||||
| 74 | Spécialités du monde | Dominique Perrier | 25, rue Lauriston | Paris | 75016 | France |
|
||||
| 75 | Split Rail Beer & Ale | Art Braunschweiger | P.O. Box 555 | Lander | 82520 | USA |
|
||||
| 76 | Suprêmes délices | Pascale Cartrain | Boulevard Tirou, 255 | Charleroi | B-6000 | Belgium |
|
||||
| 77 | The Big Cheese | Liz Nixon | 89 Jefferson Way Suite 2 | Portland | 97201 | USA |
|
||||
| 78 | The Cracker Box | Liu Wong | 55 Grizzly Peak Rd. | Butte | 59801 | USA |
|
||||
| 79 | Toms Spezialitäten | Karin Josephs | Luisenstr. 48 | Münster | 44087 | Germany |
|
||||
| 80 | Tortuga Restaurante | Miguel Angel Paolino | Avda. Azteca 123 | México D.F. | 5033 | Mexico |
|
||||
| 81 | Tradição Hipermercados | Anabela Domingues | Av. Inês de Castro, 414 | São Paulo | 05634-030 | Brazil |
|
||||
| 82 | Trail's Head Gourmet Provisioners | Helvetius Nagy | 722 DaVinci Blvd. | Kirkland | 98034 | USA |
|
||||
| 83 | Vaffeljernet | Palle Ibsen | Smagsløget 45 | Århus | 8200 | Denmark |
|
||||
| 84 | Victuailles en stock | Mary Saveley | 2, rue du Commerce | Lyon | 69004 | France |
|
||||
| 85 | Vins et alcools Chevalier | Paul Henriot | 59 rue de l'Abbaye | Reims | 51100 | France |
|
||||
| 86 | Die Wandernde Kuh | Rita Müller | Adenauerallee 900 | Stuttgart | 70563 | Germany |
|
||||
| 87 | Wartian Herkku | Pirkko Koskitalo | Torikatu 38 | Oulu | 90110 | Finland |
|
||||
| 88 | Wellington Importadora | Paula Parente | Rua do Mercado, 12 | Resende | 08737-363 | Brazil |
|
||||
| 89 | White Clover Markets | Karl Jablonski | 305 - 14th Ave. S. Suite 3B | Seattle | 98128 | USA |
|
||||
| 90 | Wilman Kala | Matti Karttunen | Keskuskatu 45 | Helsinki | 21240 | Finland |
|
||||
| 91 | Wolski | Zbyszek | ul. Filtrowa 68 | Walla | 01-012 | Poland |
|
||||
14
docs/docusaurus/docs/example-db/Employees.md
Normal file
14
docs/docusaurus/docs/example-db/Employees.md
Normal file
@ -0,0 +1,14 @@
|
||||
# Table: Employees
|
||||
|
||||
| EmployeeID | LastName | FirstName | BirthDate | Photo | Notes |
|
||||
| -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Davolio | Nancy | 1968-12-08 | EmpID1.pic | Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'. |
|
||||
| 2 | Fuller | Andrew | 1952-02-19 | EmpID2.pic | Andrew received his BTS commercial and a Ph.D. in international marketing from the University of Dallas. He is fluent in French and Italian and reads German. He joined the company as a sales representative |
|
||||
| 3 | Leverling | Janet | 1963-08-30 | EmpID3.pic | Janet has a BS degree in chemistry from Boston College). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate and was promoted to sales representative. |
|
||||
| 4 | Peacock | Margaret | 1958-09-19 | EmpID4.pic | Margaret holds a BA in English literature from Concordia College and an MA from the American Institute of Culinary Arts. She was temporarily assigned to the London office before returning to her permanent post in Seattle. |
|
||||
| 5 | Buchanan | Steven | 1955-03-04 | EmpID5.pic | Steven Buchanan graduated from St. Andrews University |
|
||||
| 6 | Suyama | Michael | 1963-07-02 | EmpID6.pic | Michael is a graduate of Sussex University (MA |
|
||||
| 7 | King | Robert | 1960-05-29 | EmpID7.pic | Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan and then joining the company. After completing a course entitled 'Selling in Europe' |
|
||||
| 8 | Callahan | Laura | 1958-01-09 | EmpID8.pic | Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French. |
|
||||
| 9 | Dodsworth | Anne | 1969-07-02 | EmpID9.pic | Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German. |
|
||||
| 10 | West | Adam | 1928-09-19 | EmpID10.pic | An old chum. |
|
||||
522
docs/docusaurus/docs/example-db/OrderDetails.md
Normal file
522
docs/docusaurus/docs/example-db/OrderDetails.md
Normal file
@ -0,0 +1,522 @@
|
||||
# Table: OrderDetails
|
||||
|
||||
| OrderDetailID | OrderID | ProductID | Quantity |
|
||||
| -- | -- | -- | -- |
|
||||
| 1 | 10248 | 11 | 12 |
|
||||
| 2 | 10248 | 42 | 10 |
|
||||
| 3 | 10248 | 72 | 5 |
|
||||
| 4 | 10249 | 14 | 9 |
|
||||
| 5 | 10249 | 51 | 40 |
|
||||
| 6 | 10250 | 41 | 10 |
|
||||
| 7 | 10250 | 51 | 35 |
|
||||
| 8 | 10250 | 65 | 15 |
|
||||
| 9 | 10251 | 22 | 6 |
|
||||
| 10 | 10251 | 57 | 15 |
|
||||
| 11 | 10251 | 65 | 20 |
|
||||
| 12 | 10252 | 20 | 40 |
|
||||
| 13 | 10252 | 33 | 25 |
|
||||
| 14 | 10252 | 60 | 40 |
|
||||
| 15 | 10253 | 31 | 20 |
|
||||
| 16 | 10253 | 39 | 42 |
|
||||
| 17 | 10253 | 49 | 40 |
|
||||
| 18 | 10254 | 24 | 15 |
|
||||
| 19 | 10254 | 55 | 21 |
|
||||
| 20 | 10254 | 74 | 21 |
|
||||
| 21 | 10255 | 2 | 20 |
|
||||
| 22 | 10255 | 16 | 35 |
|
||||
| 23 | 10255 | 36 | 25 |
|
||||
| 24 | 10255 | 59 | 30 |
|
||||
| 25 | 10256 | 53 | 15 |
|
||||
| 26 | 10256 | 77 | 12 |
|
||||
| 27 | 10257 | 27 | 25 |
|
||||
| 28 | 10257 | 39 | 6 |
|
||||
| 29 | 10257 | 77 | 15 |
|
||||
| 30 | 10258 | 2 | 50 |
|
||||
| 31 | 10258 | 5 | 65 |
|
||||
| 32 | 10258 | 32 | 6 |
|
||||
| 33 | 10259 | 21 | 10 |
|
||||
| 34 | 10259 | 37 | 1 |
|
||||
| 35 | 10260 | 41 | 16 |
|
||||
| 36 | 10260 | 57 | 50 |
|
||||
| 37 | 10260 | 62 | 15 |
|
||||
| 38 | 10260 | 70 | 21 |
|
||||
| 39 | 10261 | 21 | 20 |
|
||||
| 40 | 10261 | 35 | 20 |
|
||||
| 41 | 10262 | 5 | 12 |
|
||||
| 42 | 10262 | 7 | 15 |
|
||||
| 43 | 10262 | 56 | 2 |
|
||||
| 44 | 10263 | 16 | 60 |
|
||||
| 45 | 10263 | 24 | 28 |
|
||||
| 46 | 10263 | 30 | 60 |
|
||||
| 47 | 10263 | 74 | 36 |
|
||||
| 48 | 10264 | 2 | 35 |
|
||||
| 49 | 10264 | 41 | 25 |
|
||||
| 50 | 10265 | 17 | 30 |
|
||||
| 51 | 10265 | 70 | 20 |
|
||||
| 52 | 10266 | 12 | 12 |
|
||||
| 53 | 10267 | 40 | 50 |
|
||||
| 54 | 10267 | 59 | 70 |
|
||||
| 55 | 10267 | 76 | 15 |
|
||||
| 56 | 10268 | 29 | 10 |
|
||||
| 57 | 10268 | 72 | 4 |
|
||||
| 58 | 10269 | 33 | 60 |
|
||||
| 59 | 10269 | 72 | 20 |
|
||||
| 60 | 10270 | 36 | 30 |
|
||||
| 61 | 10270 | 43 | 25 |
|
||||
| 62 | 10271 | 33 | 24 |
|
||||
| 63 | 10272 | 20 | 6 |
|
||||
| 64 | 10272 | 31 | 40 |
|
||||
| 65 | 10272 | 72 | 24 |
|
||||
| 66 | 10273 | 10 | 24 |
|
||||
| 67 | 10273 | 31 | 15 |
|
||||
| 68 | 10273 | 33 | 20 |
|
||||
| 69 | 10273 | 40 | 60 |
|
||||
| 70 | 10273 | 76 | 33 |
|
||||
| 71 | 10274 | 71 | 20 |
|
||||
| 72 | 10274 | 72 | 7 |
|
||||
| 73 | 10275 | 24 | 12 |
|
||||
| 74 | 10275 | 59 | 6 |
|
||||
| 75 | 10276 | 10 | 15 |
|
||||
| 76 | 10276 | 13 | 10 |
|
||||
| 77 | 10277 | 28 | 20 |
|
||||
| 78 | 10277 | 62 | 12 |
|
||||
| 79 | 10278 | 44 | 16 |
|
||||
| 80 | 10278 | 59 | 15 |
|
||||
| 81 | 10278 | 63 | 8 |
|
||||
| 82 | 10278 | 73 | 25 |
|
||||
| 83 | 10279 | 17 | 15 |
|
||||
| 84 | 10280 | 24 | 12 |
|
||||
| 85 | 10280 | 55 | 20 |
|
||||
| 86 | 10280 | 75 | 30 |
|
||||
| 87 | 10281 | 19 | 1 |
|
||||
| 88 | 10281 | 24 | 6 |
|
||||
| 89 | 10281 | 35 | 4 |
|
||||
| 90 | 10282 | 30 | 6 |
|
||||
| 91 | 10282 | 57 | 2 |
|
||||
| 92 | 10283 | 15 | 20 |
|
||||
| 93 | 10283 | 19 | 18 |
|
||||
| 94 | 10283 | 60 | 35 |
|
||||
| 95 | 10283 | 72 | 3 |
|
||||
| 96 | 10284 | 27 | 15 |
|
||||
| 97 | 10284 | 44 | 21 |
|
||||
| 98 | 10284 | 60 | 20 |
|
||||
| 99 | 10284 | 67 | 5 |
|
||||
| 100 | 10285 | 1 | 45 |
|
||||
| 101 | 10285 | 40 | 40 |
|
||||
| 102 | 10285 | 53 | 36 |
|
||||
| 103 | 10286 | 35 | 100 |
|
||||
| 104 | 10286 | 62 | 40 |
|
||||
| 105 | 10287 | 16 | 40 |
|
||||
| 106 | 10287 | 34 | 20 |
|
||||
| 107 | 10287 | 46 | 15 |
|
||||
| 108 | 10288 | 54 | 10 |
|
||||
| 109 | 10288 | 68 | 3 |
|
||||
| 110 | 10289 | 3 | 30 |
|
||||
| 111 | 10289 | 64 | 9 |
|
||||
| 112 | 10290 | 5 | 20 |
|
||||
| 113 | 10290 | 29 | 15 |
|
||||
| 114 | 10290 | 49 | 15 |
|
||||
| 115 | 10290 | 77 | 10 |
|
||||
| 116 | 10291 | 13 | 20 |
|
||||
| 117 | 10291 | 44 | 24 |
|
||||
| 118 | 10291 | 51 | 2 |
|
||||
| 119 | 10292 | 20 | 20 |
|
||||
| 120 | 10293 | 18 | 12 |
|
||||
| 121 | 10293 | 24 | 10 |
|
||||
| 122 | 10293 | 63 | 5 |
|
||||
| 123 | 10293 | 75 | 6 |
|
||||
| 124 | 10294 | 1 | 18 |
|
||||
| 125 | 10294 | 17 | 15 |
|
||||
| 126 | 10294 | 43 | 15 |
|
||||
| 127 | 10294 | 60 | 21 |
|
||||
| 128 | 10294 | 75 | 6 |
|
||||
| 129 | 10295 | 56 | 4 |
|
||||
| 130 | 10296 | 11 | 12 |
|
||||
| 131 | 10296 | 16 | 30 |
|
||||
| 132 | 10296 | 69 | 15 |
|
||||
| 133 | 10297 | 39 | 60 |
|
||||
| 134 | 10297 | 72 | 20 |
|
||||
| 135 | 10298 | 2 | 40 |
|
||||
| 136 | 10298 | 36 | 40 |
|
||||
| 137 | 10298 | 59 | 30 |
|
||||
| 138 | 10298 | 62 | 15 |
|
||||
| 139 | 10299 | 19 | 15 |
|
||||
| 140 | 10299 | 70 | 20 |
|
||||
| 141 | 10300 | 66 | 30 |
|
||||
| 142 | 10300 | 68 | 20 |
|
||||
| 143 | 10301 | 40 | 10 |
|
||||
| 144 | 10301 | 56 | 20 |
|
||||
| 145 | 10302 | 17 | 40 |
|
||||
| 146 | 10302 | 28 | 28 |
|
||||
| 147 | 10302 | 43 | 12 |
|
||||
| 148 | 10303 | 40 | 40 |
|
||||
| 149 | 10303 | 65 | 30 |
|
||||
| 150 | 10303 | 68 | 15 |
|
||||
| 151 | 10304 | 49 | 30 |
|
||||
| 152 | 10304 | 59 | 10 |
|
||||
| 153 | 10304 | 71 | 2 |
|
||||
| 154 | 10305 | 18 | 25 |
|
||||
| 155 | 10305 | 29 | 25 |
|
||||
| 156 | 10305 | 39 | 30 |
|
||||
| 157 | 10306 | 30 | 10 |
|
||||
| 158 | 10306 | 53 | 10 |
|
||||
| 159 | 10306 | 54 | 5 |
|
||||
| 160 | 10307 | 62 | 10 |
|
||||
| 161 | 10307 | 68 | 3 |
|
||||
| 162 | 10308 | 69 | 1 |
|
||||
| 163 | 10308 | 70 | 5 |
|
||||
| 164 | 10309 | 4 | 20 |
|
||||
| 165 | 10309 | 6 | 30 |
|
||||
| 166 | 10309 | 42 | 2 |
|
||||
| 167 | 10309 | 43 | 20 |
|
||||
| 168 | 10309 | 71 | 3 |
|
||||
| 169 | 10310 | 16 | 10 |
|
||||
| 170 | 10310 | 62 | 5 |
|
||||
| 171 | 10311 | 42 | 6 |
|
||||
| 172 | 10311 | 69 | 7 |
|
||||
| 173 | 10312 | 28 | 4 |
|
||||
| 174 | 10312 | 43 | 24 |
|
||||
| 175 | 10312 | 53 | 20 |
|
||||
| 176 | 10312 | 75 | 10 |
|
||||
| 177 | 10313 | 36 | 12 |
|
||||
| 178 | 10314 | 32 | 40 |
|
||||
| 179 | 10314 | 58 | 30 |
|
||||
| 180 | 10314 | 62 | 25 |
|
||||
| 181 | 10315 | 34 | 14 |
|
||||
| 182 | 10315 | 70 | 30 |
|
||||
| 183 | 10316 | 41 | 10 |
|
||||
| 184 | 10316 | 62 | 70 |
|
||||
| 185 | 10317 | 1 | 20 |
|
||||
| 186 | 10318 | 41 | 20 |
|
||||
| 187 | 10318 | 76 | 6 |
|
||||
| 188 | 10319 | 17 | 8 |
|
||||
| 189 | 10319 | 28 | 14 |
|
||||
| 190 | 10319 | 76 | 30 |
|
||||
| 191 | 10320 | 71 | 30 |
|
||||
| 192 | 10321 | 35 | 10 |
|
||||
| 193 | 10322 | 52 | 20 |
|
||||
| 194 | 10323 | 15 | 5 |
|
||||
| 195 | 10323 | 25 | 4 |
|
||||
| 196 | 10323 | 39 | 4 |
|
||||
| 197 | 10324 | 16 | 21 |
|
||||
| 198 | 10324 | 35 | 70 |
|
||||
| 199 | 10324 | 46 | 30 |
|
||||
| 200 | 10324 | 59 | 40 |
|
||||
| 201 | 10324 | 63 | 80 |
|
||||
| 202 | 10325 | 6 | 6 |
|
||||
| 203 | 10325 | 13 | 12 |
|
||||
| 204 | 10325 | 14 | 9 |
|
||||
| 205 | 10325 | 31 | 4 |
|
||||
| 206 | 10325 | 72 | 40 |
|
||||
| 207 | 10326 | 4 | 24 |
|
||||
| 208 | 10326 | 57 | 16 |
|
||||
| 209 | 10326 | 75 | 50 |
|
||||
| 210 | 10327 | 2 | 25 |
|
||||
| 211 | 10327 | 11 | 50 |
|
||||
| 212 | 10327 | 30 | 35 |
|
||||
| 213 | 10327 | 58 | 30 |
|
||||
| 214 | 10328 | 59 | 9 |
|
||||
| 215 | 10328 | 65 | 40 |
|
||||
| 216 | 10328 | 68 | 10 |
|
||||
| 217 | 10329 | 19 | 10 |
|
||||
| 218 | 10329 | 30 | 8 |
|
||||
| 219 | 10329 | 38 | 20 |
|
||||
| 220 | 10329 | 56 | 12 |
|
||||
| 221 | 10330 | 26 | 50 |
|
||||
| 222 | 10330 | 72 | 25 |
|
||||
| 223 | 10331 | 54 | 15 |
|
||||
| 224 | 10332 | 18 | 40 |
|
||||
| 225 | 10332 | 42 | 10 |
|
||||
| 226 | 10332 | 47 | 16 |
|
||||
| 227 | 10333 | 14 | 10 |
|
||||
| 228 | 10333 | 21 | 10 |
|
||||
| 229 | 10333 | 71 | 40 |
|
||||
| 230 | 10334 | 52 | 8 |
|
||||
| 231 | 10334 | 68 | 10 |
|
||||
| 232 | 10335 | 2 | 7 |
|
||||
| 233 | 10335 | 31 | 25 |
|
||||
| 234 | 10335 | 32 | 6 |
|
||||
| 235 | 10335 | 51 | 48 |
|
||||
| 236 | 10336 | 4 | 18 |
|
||||
| 237 | 10337 | 23 | 40 |
|
||||
| 238 | 10337 | 26 | 24 |
|
||||
| 239 | 10337 | 36 | 20 |
|
||||
| 240 | 10337 | 37 | 28 |
|
||||
| 241 | 10337 | 72 | 25 |
|
||||
| 242 | 10338 | 17 | 20 |
|
||||
| 243 | 10338 | 30 | 15 |
|
||||
| 244 | 10339 | 4 | 10 |
|
||||
| 245 | 10339 | 17 | 70 |
|
||||
| 246 | 10339 | 62 | 28 |
|
||||
| 247 | 10340 | 18 | 20 |
|
||||
| 248 | 10340 | 41 | 12 |
|
||||
| 249 | 10340 | 43 | 40 |
|
||||
| 250 | 10341 | 33 | 8 |
|
||||
| 251 | 10341 | 59 | 9 |
|
||||
| 252 | 10342 | 2 | 24 |
|
||||
| 253 | 10342 | 31 | 56 |
|
||||
| 254 | 10342 | 36 | 40 |
|
||||
| 255 | 10342 | 55 | 40 |
|
||||
| 256 | 10343 | 64 | 50 |
|
||||
| 257 | 10343 | 68 | 4 |
|
||||
| 258 | 10343 | 76 | 15 |
|
||||
| 259 | 10344 | 4 | 35 |
|
||||
| 260 | 10344 | 8 | 70 |
|
||||
| 261 | 10345 | 8 | 70 |
|
||||
| 262 | 10345 | 19 | 80 |
|
||||
| 263 | 10345 | 42 | 9 |
|
||||
| 264 | 10346 | 17 | 36 |
|
||||
| 265 | 10346 | 56 | 20 |
|
||||
| 266 | 10347 | 25 | 10 |
|
||||
| 267 | 10347 | 39 | 50 |
|
||||
| 268 | 10347 | 40 | 4 |
|
||||
| 269 | 10347 | 75 | 6 |
|
||||
| 270 | 10348 | 1 | 15 |
|
||||
| 271 | 10348 | 23 | 25 |
|
||||
| 272 | 10349 | 54 | 24 |
|
||||
| 273 | 10350 | 50 | 15 |
|
||||
| 274 | 10350 | 69 | 18 |
|
||||
| 275 | 10351 | 38 | 20 |
|
||||
| 276 | 10351 | 41 | 13 |
|
||||
| 277 | 10351 | 44 | 77 |
|
||||
| 278 | 10351 | 65 | 10 |
|
||||
| 279 | 10352 | 24 | 10 |
|
||||
| 280 | 10352 | 54 | 20 |
|
||||
| 281 | 10353 | 11 | 12 |
|
||||
| 282 | 10353 | 38 | 50 |
|
||||
| 283 | 10354 | 1 | 12 |
|
||||
| 284 | 10354 | 29 | 4 |
|
||||
| 285 | 10355 | 24 | 25 |
|
||||
| 286 | 10355 | 57 | 25 |
|
||||
| 287 | 10356 | 31 | 30 |
|
||||
| 288 | 10356 | 55 | 12 |
|
||||
| 289 | 10356 | 69 | 20 |
|
||||
| 290 | 10357 | 10 | 30 |
|
||||
| 291 | 10357 | 26 | 16 |
|
||||
| 292 | 10357 | 60 | 8 |
|
||||
| 293 | 10358 | 24 | 10 |
|
||||
| 294 | 10358 | 34 | 10 |
|
||||
| 295 | 10358 | 36 | 20 |
|
||||
| 296 | 10359 | 16 | 56 |
|
||||
| 297 | 10359 | 31 | 70 |
|
||||
| 298 | 10359 | 60 | 80 |
|
||||
| 299 | 10360 | 28 | 30 |
|
||||
| 300 | 10360 | 29 | 35 |
|
||||
| 301 | 10360 | 38 | 10 |
|
||||
| 302 | 10360 | 49 | 35 |
|
||||
| 303 | 10360 | 54 | 28 |
|
||||
| 304 | 10361 | 39 | 54 |
|
||||
| 305 | 10361 | 60 | 55 |
|
||||
| 306 | 10362 | 25 | 50 |
|
||||
| 307 | 10362 | 51 | 20 |
|
||||
| 308 | 10362 | 54 | 24 |
|
||||
| 309 | 10363 | 31 | 20 |
|
||||
| 310 | 10363 | 75 | 12 |
|
||||
| 311 | 10363 | 76 | 12 |
|
||||
| 312 | 10364 | 69 | 30 |
|
||||
| 313 | 10364 | 71 | 5 |
|
||||
| 314 | 10365 | 11 | 24 |
|
||||
| 315 | 10366 | 65 | 5 |
|
||||
| 316 | 10366 | 77 | 5 |
|
||||
| 317 | 10367 | 34 | 36 |
|
||||
| 318 | 10367 | 54 | 18 |
|
||||
| 319 | 10367 | 65 | 15 |
|
||||
| 320 | 10367 | 77 | 7 |
|
||||
| 321 | 10368 | 21 | 5 |
|
||||
| 322 | 10368 | 28 | 13 |
|
||||
| 323 | 10368 | 57 | 25 |
|
||||
| 324 | 10368 | 64 | 35 |
|
||||
| 325 | 10369 | 29 | 20 |
|
||||
| 326 | 10369 | 56 | 18 |
|
||||
| 327 | 10370 | 1 | 15 |
|
||||
| 328 | 10370 | 64 | 30 |
|
||||
| 329 | 10370 | 74 | 20 |
|
||||
| 330 | 10371 | 36 | 6 |
|
||||
| 331 | 10372 | 20 | 12 |
|
||||
| 332 | 10372 | 38 | 40 |
|
||||
| 333 | 10372 | 60 | 70 |
|
||||
| 334 | 10372 | 72 | 42 |
|
||||
| 335 | 10373 | 58 | 80 |
|
||||
| 336 | 10373 | 71 | 50 |
|
||||
| 337 | 10374 | 31 | 30 |
|
||||
| 338 | 10374 | 58 | 15 |
|
||||
| 339 | 10375 | 14 | 15 |
|
||||
| 340 | 10375 | 54 | 10 |
|
||||
| 341 | 10376 | 31 | 42 |
|
||||
| 342 | 10377 | 28 | 20 |
|
||||
| 343 | 10377 | 39 | 20 |
|
||||
| 344 | 10378 | 71 | 6 |
|
||||
| 345 | 10379 | 41 | 8 |
|
||||
| 346 | 10379 | 63 | 16 |
|
||||
| 347 | 10379 | 65 | 20 |
|
||||
| 348 | 10380 | 30 | 18 |
|
||||
| 349 | 10380 | 53 | 20 |
|
||||
| 350 | 10380 | 60 | 6 |
|
||||
| 351 | 10380 | 70 | 30 |
|
||||
| 352 | 10381 | 74 | 14 |
|
||||
| 353 | 10382 | 5 | 32 |
|
||||
| 354 | 10382 | 18 | 9 |
|
||||
| 355 | 10382 | 29 | 14 |
|
||||
| 356 | 10382 | 33 | 60 |
|
||||
| 357 | 10382 | 74 | 50 |
|
||||
| 358 | 10383 | 13 | 20 |
|
||||
| 359 | 10383 | 50 | 15 |
|
||||
| 360 | 10383 | 56 | 20 |
|
||||
| 361 | 10384 | 20 | 28 |
|
||||
| 362 | 10384 | 60 | 15 |
|
||||
| 363 | 10385 | 7 | 10 |
|
||||
| 364 | 10385 | 60 | 20 |
|
||||
| 365 | 10385 | 68 | 8 |
|
||||
| 366 | 10386 | 24 | 15 |
|
||||
| 367 | 10386 | 34 | 10 |
|
||||
| 368 | 10387 | 24 | 15 |
|
||||
| 369 | 10387 | 28 | 6 |
|
||||
| 370 | 10387 | 59 | 12 |
|
||||
| 371 | 10387 | 71 | 15 |
|
||||
| 372 | 10388 | 45 | 15 |
|
||||
| 373 | 10388 | 52 | 20 |
|
||||
| 374 | 10388 | 53 | 40 |
|
||||
| 375 | 10389 | 10 | 16 |
|
||||
| 376 | 10389 | 55 | 15 |
|
||||
| 377 | 10389 | 62 | 20 |
|
||||
| 378 | 10389 | 70 | 30 |
|
||||
| 379 | 10390 | 31 | 60 |
|
||||
| 380 | 10390 | 35 | 40 |
|
||||
| 381 | 10390 | 46 | 45 |
|
||||
| 382 | 10390 | 72 | 24 |
|
||||
| 383 | 10391 | 13 | 18 |
|
||||
| 384 | 10392 | 69 | 50 |
|
||||
| 385 | 10393 | 2 | 25 |
|
||||
| 386 | 10393 | 14 | 42 |
|
||||
| 387 | 10393 | 25 | 7 |
|
||||
| 388 | 10393 | 26 | 70 |
|
||||
| 389 | 10393 | 31 | 32 |
|
||||
| 390 | 10394 | 13 | 10 |
|
||||
| 391 | 10394 | 62 | 10 |
|
||||
| 392 | 10395 | 46 | 28 |
|
||||
| 393 | 10395 | 53 | 70 |
|
||||
| 394 | 10395 | 69 | 8 |
|
||||
| 395 | 10396 | 23 | 40 |
|
||||
| 396 | 10396 | 71 | 60 |
|
||||
| 397 | 10396 | 72 | 21 |
|
||||
| 398 | 10397 | 21 | 10 |
|
||||
| 399 | 10397 | 51 | 18 |
|
||||
| 400 | 10398 | 35 | 30 |
|
||||
| 401 | 10398 | 55 | 120 |
|
||||
| 402 | 10399 | 68 | 60 |
|
||||
| 403 | 10399 | 71 | 30 |
|
||||
| 404 | 10399 | 76 | 35 |
|
||||
| 405 | 10399 | 77 | 14 |
|
||||
| 406 | 10400 | 29 | 21 |
|
||||
| 407 | 10400 | 35 | 35 |
|
||||
| 408 | 10400 | 49 | 30 |
|
||||
| 409 | 10401 | 30 | 18 |
|
||||
| 410 | 10401 | 56 | 70 |
|
||||
| 411 | 10401 | 65 | 20 |
|
||||
| 412 | 10401 | 71 | 60 |
|
||||
| 413 | 10402 | 23 | 60 |
|
||||
| 414 | 10402 | 63 | 65 |
|
||||
| 415 | 10403 | 16 | 21 |
|
||||
| 416 | 10403 | 48 | 70 |
|
||||
| 417 | 10404 | 26 | 30 |
|
||||
| 418 | 10404 | 42 | 40 |
|
||||
| 419 | 10404 | 49 | 30 |
|
||||
| 420 | 10405 | 3 | 50 |
|
||||
| 421 | 10406 | 1 | 10 |
|
||||
| 422 | 10406 | 21 | 30 |
|
||||
| 423 | 10406 | 28 | 42 |
|
||||
| 424 | 10406 | 36 | 5 |
|
||||
| 425 | 10406 | 40 | 2 |
|
||||
| 426 | 10407 | 11 | 30 |
|
||||
| 427 | 10407 | 69 | 15 |
|
||||
| 428 | 10407 | 71 | 15 |
|
||||
| 429 | 10408 | 37 | 10 |
|
||||
| 430 | 10408 | 54 | 6 |
|
||||
| 431 | 10408 | 62 | 35 |
|
||||
| 432 | 10409 | 14 | 12 |
|
||||
| 433 | 10409 | 21 | 12 |
|
||||
| 434 | 10410 | 33 | 49 |
|
||||
| 435 | 10410 | 59 | 16 |
|
||||
| 436 | 10411 | 41 | 25 |
|
||||
| 437 | 10411 | 44 | 40 |
|
||||
| 438 | 10411 | 59 | 9 |
|
||||
| 439 | 10412 | 14 | 20 |
|
||||
| 440 | 10413 | 1 | 24 |
|
||||
| 441 | 10413 | 62 | 40 |
|
||||
| 442 | 10413 | 76 | 14 |
|
||||
| 443 | 10414 | 19 | 18 |
|
||||
| 444 | 10414 | 33 | 50 |
|
||||
| 445 | 10415 | 17 | 2 |
|
||||
| 446 | 10415 | 33 | 20 |
|
||||
| 447 | 10416 | 19 | 20 |
|
||||
| 448 | 10416 | 53 | 10 |
|
||||
| 449 | 10416 | 57 | 20 |
|
||||
| 450 | 10417 | 38 | 50 |
|
||||
| 451 | 10417 | 46 | 2 |
|
||||
| 452 | 10417 | 68 | 36 |
|
||||
| 453 | 10417 | 77 | 35 |
|
||||
| 454 | 10418 | 2 | 60 |
|
||||
| 455 | 10418 | 47 | 55 |
|
||||
| 456 | 10418 | 61 | 16 |
|
||||
| 457 | 10418 | 74 | 15 |
|
||||
| 458 | 10419 | 60 | 60 |
|
||||
| 459 | 10419 | 69 | 20 |
|
||||
| 460 | 10420 | 9 | 20 |
|
||||
| 461 | 10420 | 13 | 2 |
|
||||
| 462 | 10420 | 70 | 8 |
|
||||
| 463 | 10420 | 73 | 20 |
|
||||
| 464 | 10421 | 19 | 4 |
|
||||
| 465 | 10421 | 26 | 30 |
|
||||
| 466 | 10421 | 53 | 15 |
|
||||
| 467 | 10421 | 77 | 10 |
|
||||
| 468 | 10422 | 26 | 2 |
|
||||
| 469 | 10423 | 31 | 14 |
|
||||
| 470 | 10423 | 59 | 20 |
|
||||
| 471 | 10424 | 35 | 60 |
|
||||
| 472 | 10424 | 38 | 49 |
|
||||
| 473 | 10424 | 68 | 30 |
|
||||
| 474 | 10425 | 55 | 10 |
|
||||
| 475 | 10425 | 76 | 20 |
|
||||
| 476 | 10426 | 56 | 5 |
|
||||
| 477 | 10426 | 64 | 7 |
|
||||
| 478 | 10427 | 14 | 35 |
|
||||
| 479 | 10428 | 46 | 20 |
|
||||
| 480 | 10429 | 50 | 40 |
|
||||
| 481 | 10429 | 63 | 35 |
|
||||
| 482 | 10430 | 17 | 45 |
|
||||
| 483 | 10430 | 21 | 50 |
|
||||
| 484 | 10430 | 56 | 30 |
|
||||
| 485 | 10430 | 59 | 70 |
|
||||
| 486 | 10431 | 17 | 50 |
|
||||
| 487 | 10431 | 40 | 50 |
|
||||
| 488 | 10431 | 47 | 30 |
|
||||
| 489 | 10432 | 26 | 10 |
|
||||
| 490 | 10432 | 54 | 40 |
|
||||
| 491 | 10433 | 56 | 28 |
|
||||
| 492 | 10434 | 11 | 6 |
|
||||
| 493 | 10434 | 76 | 18 |
|
||||
| 494 | 10435 | 2 | 10 |
|
||||
| 495 | 10435 | 22 | 12 |
|
||||
| 496 | 10435 | 72 | 10 |
|
||||
| 497 | 10436 | 46 | 5 |
|
||||
| 498 | 10436 | 56 | 40 |
|
||||
| 499 | 10436 | 64 | 30 |
|
||||
| 500 | 10436 | 75 | 24 |
|
||||
| 501 | 10437 | 53 | 15 |
|
||||
| 502 | 10438 | 19 | 15 |
|
||||
| 503 | 10438 | 34 | 20 |
|
||||
| 504 | 10438 | 57 | 15 |
|
||||
| 505 | 10439 | 12 | 15 |
|
||||
| 506 | 10439 | 16 | 16 |
|
||||
| 507 | 10439 | 64 | 6 |
|
||||
| 508 | 10439 | 74 | 30 |
|
||||
| 509 | 10440 | 2 | 45 |
|
||||
| 510 | 10440 | 16 | 49 |
|
||||
| 511 | 10440 | 29 | 24 |
|
||||
| 512 | 10440 | 61 | 90 |
|
||||
| 513 | 10441 | 27 | 50 |
|
||||
| 514 | 10442 | 11 | 30 |
|
||||
| 515 | 10442 | 54 | 80 |
|
||||
| 516 | 10442 | 66 | 60 |
|
||||
| 517 | 10443 | 11 | 6 |
|
||||
| 518 | 10443 | 28 | 12 |
|
||||
200
docs/docusaurus/docs/example-db/Orders.md
Normal file
200
docs/docusaurus/docs/example-db/Orders.md
Normal file
@ -0,0 +1,200 @@
|
||||
# Table: Orders
|
||||
|
||||
| OrderID | CustomerID | EmployeeID | OrderDate | ShipperID |
|
||||
| -- | -- | -- | -- | -- |
|
||||
| 10248 | 90 | 5 | 1996-07-04 | 3 |
|
||||
| 10249 | 81 | 6 | 1996-07-05 | 1 |
|
||||
| 10250 | 34 | 4 | 1996-07-08 | 2 |
|
||||
| 10251 | 84 | 3 | 1996-07-08 | 1 |
|
||||
| 10252 | 76 | 4 | 1996-07-09 | 2 |
|
||||
| 10253 | 34 | 3 | 1996-07-10 | 2 |
|
||||
| 10254 | 14 | 5 | 1996-07-11 | 2 |
|
||||
| 10255 | 68 | 9 | 1996-07-12 | 3 |
|
||||
| 10256 | 88 | 3 | 1996-07-15 | 2 |
|
||||
| 10257 | 35 | 4 | 1996-07-16 | 3 |
|
||||
| 10258 | 20 | 1 | 1996-07-17 | 1 |
|
||||
| 10259 | 13 | 4 | 1996-07-18 | 3 |
|
||||
| 10260 | 55 | 4 | 1996-07-19 | 1 |
|
||||
| 10261 | 61 | 4 | 1996-07-19 | 2 |
|
||||
| 10262 | 65 | 8 | 1996-07-22 | 3 |
|
||||
| 10263 | 20 | 9 | 1996-07-23 | 3 |
|
||||
| 10264 | 24 | 6 | 1996-07-24 | 3 |
|
||||
| 10265 | 7 | 2 | 1996-07-25 | 1 |
|
||||
| 10266 | 87 | 3 | 1996-07-26 | 3 |
|
||||
| 10267 | 25 | 4 | 1996-07-29 | 1 |
|
||||
| 10268 | 33 | 8 | 1996-07-30 | 3 |
|
||||
| 10269 | 89 | 5 | 1996-07-31 | 1 |
|
||||
| 10270 | 87 | 1 | 1996-08-01 | 1 |
|
||||
| 10271 | 75 | 6 | 1996-08-01 | 2 |
|
||||
| 10272 | 65 | 6 | 1996-08-02 | 2 |
|
||||
| 10273 | 63 | 3 | 1996-08-05 | 3 |
|
||||
| 10274 | 85 | 6 | 1996-08-06 | 1 |
|
||||
| 10275 | 49 | 1 | 1996-08-07 | 1 |
|
||||
| 10276 | 80 | 8 | 1996-08-08 | 3 |
|
||||
| 10277 | 52 | 2 | 1996-08-09 | 3 |
|
||||
| 10278 | 5 | 8 | 1996-08-12 | 2 |
|
||||
| 10279 | 44 | 8 | 1996-08-13 | 2 |
|
||||
| 10280 | 5 | 2 | 1996-08-14 | 1 |
|
||||
| 10281 | 69 | 4 | 1996-08-14 | 1 |
|
||||
| 10282 | 69 | 4 | 1996-08-15 | 1 |
|
||||
| 10283 | 46 | 3 | 1996-08-16 | 3 |
|
||||
| 10284 | 44 | 4 | 1996-08-19 | 1 |
|
||||
| 10285 | 63 | 1 | 1996-08-20 | 2 |
|
||||
| 10286 | 63 | 8 | 1996-08-21 | 3 |
|
||||
| 10287 | 67 | 8 | 1996-08-22 | 3 |
|
||||
| 10288 | 66 | 4 | 1996-08-23 | 1 |
|
||||
| 10289 | 11 | 7 | 1996-08-26 | 3 |
|
||||
| 10290 | 15 | 8 | 1996-08-27 | 1 |
|
||||
| 10291 | 61 | 6 | 1996-08-27 | 2 |
|
||||
| 10292 | 81 | 1 | 1996-08-28 | 2 |
|
||||
| 10293 | 80 | 1 | 1996-08-29 | 3 |
|
||||
| 10294 | 65 | 4 | 1996-08-30 | 2 |
|
||||
| 10295 | 85 | 2 | 1996-09-02 | 2 |
|
||||
| 10296 | 46 | 6 | 1996-09-03 | 1 |
|
||||
| 10297 | 7 | 5 | 1996-09-04 | 2 |
|
||||
| 10298 | 37 | 6 | 1996-09-05 | 2 |
|
||||
| 10299 | 67 | 4 | 1996-09-06 | 2 |
|
||||
| 10300 | 49 | 2 | 1996-09-09 | 2 |
|
||||
| 10301 | 86 | 8 | 1996-09-09 | 2 |
|
||||
| 10302 | 76 | 4 | 1996-09-10 | 2 |
|
||||
| 10303 | 30 | 7 | 1996-09-11 | 2 |
|
||||
| 10304 | 80 | 1 | 1996-09-12 | 2 |
|
||||
| 10305 | 55 | 8 | 1996-09-13 | 3 |
|
||||
| 10306 | 69 | 1 | 1996-09-16 | 3 |
|
||||
| 10307 | 48 | 2 | 1996-09-17 | 2 |
|
||||
| 10308 | 2 | 7 | 1996-09-18 | 3 |
|
||||
| 10309 | 37 | 3 | 1996-09-19 | 1 |
|
||||
| 10310 | 77 | 8 | 1996-09-20 | 2 |
|
||||
| 10311 | 18 | 1 | 1996-09-20 | 3 |
|
||||
| 10312 | 86 | 2 | 1996-09-23 | 2 |
|
||||
| 10313 | 63 | 2 | 1996-09-24 | 2 |
|
||||
| 10314 | 65 | 1 | 1996-09-25 | 2 |
|
||||
| 10315 | 38 | 4 | 1996-09-26 | 2 |
|
||||
| 10316 | 65 | 1 | 1996-09-27 | 3 |
|
||||
| 10317 | 48 | 6 | 1996-09-30 | 1 |
|
||||
| 10318 | 38 | 8 | 1996-10-01 | 2 |
|
||||
| 10319 | 80 | 7 | 1996-10-02 | 3 |
|
||||
| 10320 | 87 | 5 | 1996-10-03 | 3 |
|
||||
| 10321 | 38 | 3 | 1996-10-03 | 2 |
|
||||
| 10322 | 58 | 7 | 1996-10-04 | 3 |
|
||||
| 10323 | 39 | 4 | 1996-10-07 | 1 |
|
||||
| 10324 | 71 | 9 | 1996-10-08 | 1 |
|
||||
| 10325 | 39 | 1 | 1996-10-09 | 3 |
|
||||
| 10326 | 8 | 4 | 1996-10-10 | 2 |
|
||||
| 10327 | 24 | 2 | 1996-10-11 | 1 |
|
||||
| 10328 | 28 | 4 | 1996-10-14 | 3 |
|
||||
| 10329 | 75 | 4 | 1996-10-15 | 2 |
|
||||
| 10330 | 46 | 3 | 1996-10-16 | 1 |
|
||||
| 10331 | 9 | 9 | 1996-10-16 | 1 |
|
||||
| 10332 | 51 | 3 | 1996-10-17 | 2 |
|
||||
| 10333 | 87 | 5 | 1996-10-18 | 3 |
|
||||
| 10334 | 84 | 8 | 1996-10-21 | 2 |
|
||||
| 10335 | 37 | 7 | 1996-10-22 | 2 |
|
||||
| 10336 | 60 | 7 | 1996-10-23 | 2 |
|
||||
| 10337 | 25 | 4 | 1996-10-24 | 3 |
|
||||
| 10338 | 55 | 4 | 1996-10-25 | 3 |
|
||||
| 10339 | 51 | 2 | 1996-10-28 | 2 |
|
||||
| 10340 | 9 | 1 | 1996-10-29 | 3 |
|
||||
| 10341 | 73 | 7 | 1996-10-29 | 3 |
|
||||
| 10342 | 25 | 4 | 1996-10-30 | 2 |
|
||||
| 10343 | 44 | 4 | 1996-10-31 | 1 |
|
||||
| 10344 | 89 | 4 | 1996-11-01 | 2 |
|
||||
| 10345 | 63 | 2 | 1996-11-04 | 2 |
|
||||
| 10346 | 65 | 3 | 1996-11-05 | 3 |
|
||||
| 10347 | 21 | 4 | 1996-11-06 | 3 |
|
||||
| 10348 | 86 | 4 | 1996-11-07 | 2 |
|
||||
| 10349 | 75 | 7 | 1996-11-08 | 1 |
|
||||
| 10350 | 41 | 6 | 1996-11-11 | 2 |
|
||||
| 10351 | 20 | 1 | 1996-11-11 | 1 |
|
||||
| 10352 | 28 | 3 | 1996-11-12 | 3 |
|
||||
| 10353 | 59 | 7 | 1996-11-13 | 3 |
|
||||
| 10354 | 58 | 8 | 1996-11-14 | 3 |
|
||||
| 10355 | 4 | 6 | 1996-11-15 | 1 |
|
||||
| 10356 | 86 | 6 | 1996-11-18 | 2 |
|
||||
| 10357 | 46 | 1 | 1996-11-19 | 3 |
|
||||
| 10358 | 41 | 5 | 1996-11-20 | 1 |
|
||||
| 10359 | 72 | 5 | 1996-11-21 | 3 |
|
||||
| 10360 | 7 | 4 | 1996-11-22 | 3 |
|
||||
| 10361 | 63 | 1 | 1996-11-22 | 2 |
|
||||
| 10362 | 9 | 3 | 1996-11-25 | 1 |
|
||||
| 10363 | 17 | 4 | 1996-11-26 | 3 |
|
||||
| 10364 | 19 | 1 | 1996-11-26 | 1 |
|
||||
| 10365 | 3 | 3 | 1996-11-27 | 2 |
|
||||
| 10366 | 29 | 8 | 1996-11-28 | 2 |
|
||||
| 10367 | 83 | 7 | 1996-11-28 | 3 |
|
||||
| 10368 | 20 | 2 | 1996-11-29 | 2 |
|
||||
| 10369 | 75 | 8 | 1996-12-02 | 2 |
|
||||
| 10370 | 14 | 6 | 1996-12-03 | 2 |
|
||||
| 10371 | 41 | 1 | 1996-12-03 | 1 |
|
||||
| 10372 | 62 | 5 | 1996-12-04 | 2 |
|
||||
| 10373 | 37 | 4 | 1996-12-05 | 3 |
|
||||
| 10374 | 91 | 1 | 1996-12-05 | 3 |
|
||||
| 10375 | 36 | 3 | 1996-12-06 | 2 |
|
||||
| 10376 | 51 | 1 | 1996-12-09 | 2 |
|
||||
| 10377 | 72 | 1 | 1996-12-09 | 3 |
|
||||
| 10378 | 24 | 5 | 1996-12-10 | 3 |
|
||||
| 10379 | 61 | 2 | 1996-12-11 | 1 |
|
||||
| 10380 | 37 | 8 | 1996-12-12 | 3 |
|
||||
| 10381 | 46 | 3 | 1996-12-12 | 3 |
|
||||
| 10382 | 20 | 4 | 1996-12-13 | 1 |
|
||||
| 10383 | 4 | 8 | 1996-12-16 | 3 |
|
||||
| 10384 | 5 | 3 | 1996-12-16 | 3 |
|
||||
| 10385 | 75 | 1 | 1996-12-17 | 2 |
|
||||
| 10386 | 21 | 9 | 1996-12-18 | 3 |
|
||||
| 10387 | 70 | 1 | 1996-12-18 | 2 |
|
||||
| 10388 | 72 | 2 | 1996-12-19 | 1 |
|
||||
| 10389 | 10 | 4 | 1996-12-20 | 2 |
|
||||
| 10390 | 20 | 6 | 1996-12-23 | 1 |
|
||||
| 10391 | 17 | 3 | 1996-12-23 | 3 |
|
||||
| 10392 | 59 | 2 | 1996-12-24 | 3 |
|
||||
| 10393 | 71 | 1 | 1996-12-25 | 3 |
|
||||
| 10394 | 36 | 1 | 1996-12-25 | 3 |
|
||||
| 10395 | 35 | 6 | 1996-12-26 | 1 |
|
||||
| 10396 | 25 | 1 | 1996-12-27 | 3 |
|
||||
| 10397 | 60 | 5 | 1996-12-27 | 1 |
|
||||
| 10398 | 71 | 2 | 1996-12-30 | 3 |
|
||||
| 10399 | 83 | 8 | 1996-12-31 | 3 |
|
||||
| 10400 | 19 | 1 | 1997-01-01 | 3 |
|
||||
| 10401 | 65 | 1 | 1997-01-01 | 1 |
|
||||
| 10402 | 20 | 8 | 1997-01-02 | 2 |
|
||||
| 10403 | 20 | 4 | 1997-01-03 | 3 |
|
||||
| 10404 | 49 | 2 | 1997-01-03 | 1 |
|
||||
| 10405 | 47 | 1 | 1997-01-06 | 1 |
|
||||
| 10406 | 62 | 7 | 1997-01-07 | 1 |
|
||||
| 10407 | 56 | 2 | 1997-01-07 | 2 |
|
||||
| 10408 | 23 | 8 | 1997-01-08 | 1 |
|
||||
| 10409 | 54 | 3 | 1997-01-09 | 1 |
|
||||
| 10410 | 10 | 3 | 1997-01-10 | 3 |
|
||||
| 10411 | 10 | 9 | 1997-01-10 | 3 |
|
||||
| 10412 | 87 | 8 | 1997-01-13 | 2 |
|
||||
| 10413 | 41 | 3 | 1997-01-14 | 2 |
|
||||
| 10414 | 21 | 2 | 1997-01-14 | 3 |
|
||||
| 10415 | 36 | 3 | 1997-01-15 | 1 |
|
||||
| 10416 | 87 | 8 | 1997-01-16 | 3 |
|
||||
| 10417 | 73 | 4 | 1997-01-16 | 3 |
|
||||
| 10418 | 63 | 4 | 1997-01-17 | 1 |
|
||||
| 10419 | 68 | 4 | 1997-01-20 | 2 |
|
||||
| 10420 | 88 | 3 | 1997-01-21 | 1 |
|
||||
| 10421 | 61 | 8 | 1997-01-21 | 1 |
|
||||
| 10422 | 27 | 2 | 1997-01-22 | 1 |
|
||||
| 10423 | 31 | 6 | 1997-01-23 | 3 |
|
||||
| 10424 | 51 | 7 | 1997-01-23 | 2 |
|
||||
| 10425 | 41 | 6 | 1997-01-24 | 2 |
|
||||
| 10426 | 29 | 4 | 1997-01-27 | 1 |
|
||||
| 10427 | 59 | 4 | 1997-01-27 | 2 |
|
||||
| 10428 | 66 | 7 | 1997-01-28 | 1 |
|
||||
| 10429 | 37 | 3 | 1997-01-29 | 2 |
|
||||
| 10430 | 20 | 4 | 1997-01-30 | 1 |
|
||||
| 10431 | 10 | 4 | 1997-01-30 | 2 |
|
||||
| 10432 | 75 | 3 | 1997-01-31 | 2 |
|
||||
| 10433 | 60 | 3 | 1997-02-03 | 3 |
|
||||
| 10434 | 24 | 3 | 1997-02-03 | 2 |
|
||||
| 10435 | 16 | 8 | 1997-02-04 | 2 |
|
||||
| 10436 | 7 | 3 | 1997-02-05 | 2 |
|
||||
| 10437 | 87 | 8 | 1997-02-05 | 1 |
|
||||
| 10438 | 79 | 3 | 1997-02-06 | 2 |
|
||||
| 10439 | 51 | 6 | 1997-02-07 | 3 |
|
||||
| 10440 | 71 | 4 | 1997-02-10 | 2 |
|
||||
| 10441 | 55 | 3 | 1997-02-10 | 2 |
|
||||
| 10442 | 20 | 3 | 1997-02-11 | 2 |
|
||||
| 10443 | 66 | 8 | 1997-02-12 | 1 |
|
||||
81
docs/docusaurus/docs/example-db/Products.md
Normal file
81
docs/docusaurus/docs/example-db/Products.md
Normal file
@ -0,0 +1,81 @@
|
||||
# Table: Products
|
||||
|
||||
| ProductID | ProductName | SupplierID | CategoryID | Unit | Price |
|
||||
| -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Chais | 1 | 1 | 10 boxes x 20 bags | 18 |
|
||||
| 2 | Chang | 1 | 1 | 24 - 12 oz bottles | 19 |
|
||||
| 3 | Aniseed Syrup | 1 | 2 | 12 - 550 ml bottles | 10 |
|
||||
| 4 | Chef Anton's Cajun Seasoning | 2 | 2 | 48 - 6 oz jars | 22 |
|
||||
| 5 | Chef Anton's Gumbo Mix | 2 | 2 | 36 boxes | 21.35 |
|
||||
| 6 | Grandma's Boysenberry Spread | 3 | 2 | 12 - 8 oz jars | 25 |
|
||||
| 7 | Uncle Bob's Organic Dried Pears | 3 | 7 | 12 - 1 lb pkgs. | 30 |
|
||||
| 8 | Northwoods Cranberry Sauce | 3 | 2 | 12 - 12 oz jars | 40 |
|
||||
| 9 | Mishi Kobe Niku | 4 | 6 | 18 - 500 g pkgs. | 97 |
|
||||
| 10 | Ikura | 4 | 8 | 12 - 200 ml jars | 31 |
|
||||
| 11 | Queso Cabrales | 5 | 4 | 1 kg pkg. | 21 |
|
||||
| 12 | Queso Manchego La Pastora | 5 | 4 | 10 - 500 g pkgs. | 38 |
|
||||
| 13 | Konbu | 6 | 8 | 2 kg box | 6 |
|
||||
| 14 | Tofu | 6 | 7 | 40 - 100 g pkgs. | 23.25 |
|
||||
| 15 | Genen Shouyu | 6 | 2 | 24 - 250 ml bottles | 15.5 |
|
||||
| 16 | Pavlova | 7 | 3 | 32 - 500 g boxes | 17.45 |
|
||||
| 17 | Alice Mutton | 7 | 6 | 20 - 1 kg tins | 39 |
|
||||
| 18 | Carnarvon Tigers | 7 | 8 | 16 kg pkg. | 62.5 |
|
||||
| 19 | Teatime Chocolate Biscuits | 8 | 3 | 10 boxes x 12 pieces | 9.2 |
|
||||
| 20 | Sir Rodney's Marmalade | 8 | 3 | 30 gift boxes | 81 |
|
||||
| 21 | Sir Rodney's Scones | 8 | 3 | 24 pkgs. x 4 pieces | 10 |
|
||||
| 22 | Gustaf's Knäckebröd | 9 | 5 | 24 - 500 g pkgs. | 21 |
|
||||
| 23 | Tunnbröd | 9 | 5 | 12 - 250 g pkgs. | 9 |
|
||||
| 24 | Guaraná Fantástica | 10 | 1 | 12 - 355 ml cans | 4.5 |
|
||||
| 25 | NuNuCa Nuß-Nougat-Creme | 11 | 3 | 20 - 450 g glasses | 14 |
|
||||
| 26 | Gumbär Gummibärchen | 11 | 3 | 100 - 250 g bags | 31.23 |
|
||||
| 27 | Schoggi Schokolade | 11 | 3 | 100 - 100 g pieces | 43.9 |
|
||||
| 28 | Rössle Sauerkraut | 12 | 7 | 25 - 825 g cans | 45.6 |
|
||||
| 29 | Thüringer Rostbratwurst | 12 | 6 | 50 bags x 30 sausgs. | 123.79 |
|
||||
| 30 | Nord-Ost Matjeshering | 13 | 8 | 10 - 200 g glasses | 25.89 |
|
||||
| 31 | Gorgonzola Telino | 14 | 4 | 12 - 100 g pkgs | 12.5 |
|
||||
| 32 | Mascarpone Fabioli | 14 | 4 | 24 - 200 g pkgs. | 32 |
|
||||
| 33 | Geitost | 15 | 4 | 500 g | 2.5 |
|
||||
| 34 | Sasquatch Ale | 16 | 1 | 24 - 12 oz bottles | 14 |
|
||||
| 35 | Steeleye Stout | 16 | 1 | 24 - 12 oz bottles | 18 |
|
||||
| 36 | Inlagd Sill | 17 | 8 | 24 - 250 g jars | 19 |
|
||||
| 37 | Gravad lax | 17 | 8 | 12 - 500 g pkgs. | 26 |
|
||||
| 38 | Côte de Blaye | 18 | 1 | 12 - 75 cl bottles | 263.5 |
|
||||
| 39 | Chartreuse verte | 18 | 1 | 750 cc per bottle | 18 |
|
||||
| 40 | Boston Crab Meat | 19 | 8 | 24 - 4 oz tins | 18.4 |
|
||||
| 41 | Jack's New England Clam Chowder | 19 | 8 | 12 - 12 oz cans | 9.65 |
|
||||
| 42 | Singaporean Hokkien Fried Mee | 20 | 5 | 32 - 1 kg pkgs. | 14 |
|
||||
| 43 | Ipoh Coffee | 20 | 1 | 16 - 500 g tins | 46 |
|
||||
| 44 | Gula Malacca | 20 | 2 | 20 - 2 kg bags | 19.45 |
|
||||
| 45 | Røgede sild | 21 | 8 | 1k pkg. | 9.5 |
|
||||
| 46 | Spegesild | 21 | 8 | 4 - 450 g glasses | 12 |
|
||||
| 47 | Zaanse koeken | 22 | 3 | 10 - 4 oz boxes | 9.5 |
|
||||
| 48 | Chocolade | 22 | 3 | 10 pkgs. | 12.75 |
|
||||
| 49 | Maxilaku | 23 | 3 | 24 - 50 g pkgs. | 20 |
|
||||
| 50 | Valkoinen suklaa | 23 | 3 | 12 - 100 g bars | 16.25 |
|
||||
| 51 | Manjimup Dried Apples | 24 | 7 | 50 - 300 g pkgs. | 53 |
|
||||
| 52 | Filo Mix | 24 | 5 | 16 - 2 kg boxes | 7 |
|
||||
| 53 | Perth Pasties | 24 | 6 | 48 pieces | 32.8 |
|
||||
| 54 | Tourtière | 25 | 6 | 16 pies | 7.45 |
|
||||
| 55 | Pâté chinois | 25 | 6 | 24 boxes x 2 pies | 24 |
|
||||
| 56 | Gnocchi di nonna Alice | 26 | 5 | 24 - 250 g pkgs. | 38 |
|
||||
| 57 | Ravioli Angelo | 26 | 5 | 24 - 250 g pkgs. | 19.5 |
|
||||
| 58 | Escargots de Bourgogne | 27 | 8 | 24 pieces | 13.25 |
|
||||
| 59 | Raclette Courdavault | 28 | 4 | 5 kg pkg. | 55 |
|
||||
| 60 | Camembert Pierrot | 28 | 4 | 15 - 300 g rounds | 34 |
|
||||
| 61 | Sirop d'érable | 29 | 2 | 24 - 500 ml bottles | 28.5 |
|
||||
| 62 | Tarte au sucre | 29 | 3 | 48 pies | 49.3 |
|
||||
| 63 | Vegie-spread | 7 | 2 | 15 - 625 g jars | 43.9 |
|
||||
| 64 | Wimmers gute Semmelknödel | 12 | 5 | 20 bags x 4 pieces | 33.25 |
|
||||
| 65 | Louisiana Fiery Hot Pepper Sauce | 2 | 2 | 32 - 8 oz bottles | 21.05 |
|
||||
| 66 | Louisiana Hot Spiced Okra | 2 | 2 | 24 - 8 oz jars | 17 |
|
||||
| 67 | Laughing Lumberjack Lager | 16 | 1 | 24 - 12 oz bottles | 14 |
|
||||
| 68 | Scottish Longbreads | 8 | 3 | 10 boxes x 8 pieces | 12.5 |
|
||||
| 69 | Gudbrandsdalsost | 15 | 4 | 10 kg pkg. | 36 |
|
||||
| 70 | Outback Lager | 7 | 1 | 24 - 355 ml bottles | 15 |
|
||||
| 71 | Fløtemysost | 15 | 4 | 10 - 500 g pkgs. | 21.5 |
|
||||
| 72 | Mozzarella di Giovanni | 14 | 4 | 24 - 200 g pkgs. | 34.8 |
|
||||
| 73 | Röd Kaviar | 17 | 8 | 24 - 150 g jars | 15 |
|
||||
| 74 | Longlife Tofu | 4 | 7 | 5 kg pkg. | 10 |
|
||||
| 75 | Rhönbräu Klosterbier | 12 | 1 | 24 - 0.5 l bottles | 7.75 |
|
||||
| 76 | Lakkalikööri | 23 | 1 | 500 ml | 18 |
|
||||
| 77 | Original Frankfurter grüne Soße | 12 | 2 | 12 boxes | 13 |
|
||||
7
docs/docusaurus/docs/example-db/Shippers.md
Normal file
7
docs/docusaurus/docs/example-db/Shippers.md
Normal file
@ -0,0 +1,7 @@
|
||||
# Table: Shippers
|
||||
|
||||
| ShipperID | ShipperName | Phone |
|
||||
| -- | -- | -- |
|
||||
| 1 | Speedy Express | (503) 555-9831 |
|
||||
| 2 | United Package | (503) 555-3199 |
|
||||
| 3 | Federal Shipping | (503) 555-9931 |
|
||||
33
docs/docusaurus/docs/example-db/Suppliers.md
Normal file
33
docs/docusaurus/docs/example-db/Suppliers.md
Normal file
@ -0,0 +1,33 @@
|
||||
# Table: Suppliers
|
||||
|
||||
| SupplierID | SupplierName | ContactName | Address | City | PostalCode | Country | Phone |
|
||||
| -- | -- | -- | -- | -- | -- | -- | -- |
|
||||
| 1 | Exotic Liquid | Charlotte Cooper | 49 Gilbert St. | Londona | EC1 4SD | UK | (171) 555-2222 |
|
||||
| 2 | New Orleans Cajun Delights | Shelley Burke | P.O. Box 78934 | New Orleans | 70117 | USA | (100) 555-4822 |
|
||||
| 3 | Grandma Kelly's Homestead | Regina Murphy | 707 Oxford Rd. | Ann Arbor | 48104 | USA | (313) 555-5735 |
|
||||
| 4 | Tokyo Traders | Yoshi Nagase | 9-8 Sekimai Musashino-shi | Tokyo | 100 | Japan | (03) 3555-5011 |
|
||||
| 5 | Cooperativa de Quesos 'Las Cabras' | Antonio del Valle Saavedra | Calle del Rosal 4 | Oviedo | 33007 | Spain | (98) 598 76 54 |
|
||||
| 6 | Mayumi's | Mayumi Ohno | 92 Setsuko Chuo-ku | Osaka | 545 | Japan | (06) 431-7877 |
|
||||
| 7 | Pavlova, Ltd. | Ian Devling | 74 Rose St. Moonie Ponds | Melbourne | 3058 | Australia | (03) 444-2343 |
|
||||
| 8 | Specialty Biscuits, Ltd. | Peter Wilson | 29 King's Way | Manchester | M14 GSD | UK | (161) 555-4448 |
|
||||
| 9 | PB Knäckebröd AB | Lars Peterson | Kaloadagatan 13 | Göteborg | S-345 67 | Sweden | 031-987 65 43 |
|
||||
| 10 | Refrescos Americanas LTDA | Carlos Diaz | Av. das Americanas 12.890 | São Paulo | 5442 | Brazil | (11) 555 4640 |
|
||||
| 11 | Heli Süßwaren GmbH & Co. KG | Petra Winkler | Tiergartenstraße 5 | Berlin | 10785 | Germany | (010) 9984510 |
|
||||
| 12 | Plutzer Lebensmittelgroßmärkte AG | Martin Bein | Bogenallee 51 | Frankfurt | 60439 | Germany | (069) 992755 |
|
||||
| 13 | Nord-Ost-Fisch Handelsgesellschaft mbH | Sven Petersen | Frahmredder 112a | Cuxhaven | 27478 | Germany | (04721) 8713 |
|
||||
| 14 | Formaggi Fortini s.r.l. | Elio Rossi | Viale Dante, 75 | Ravenna | 48100 | Italy | (0544) 60323 |
|
||||
| 15 | Norske Meierier | Beate Vileid | Hatlevegen 5 | Sandvika | 1320 | Norway | (0)2-953010 |
|
||||
| 16 | Bigfoot Breweries | Cheryl Saylor | 3400 - 8th Avenue Suite 210 | Bend | 97101 | USA | (503) 555-9931 |
|
||||
| 17 | Svensk Sjöföda AB | Michael Björn | Brovallavägen 231 | Stockholm | S-123 45 | Sweden | 08-123 45 67 |
|
||||
| 18 | Aux joyeux ecclésiastiques | Guylène Nodier | 203, Rue des Francs-Bourgeois | Paris | 75004 | France | (1) 03.83.00.68 |
|
||||
| 19 | New England Seafood Cannery | Robb Merchant | Order Processing Dept. 2100 Paul Revere Blvd. | Boston | 2134 | USA | (617) 555-3267 |
|
||||
| 20 | Leka Trading | Chandra Leka | 471 Serangoon Loop, Suite #402 | Singapore | 512 | Singapore | 555-8787 |
|
||||
| 21 | Lyngbysild | Niels Petersen | Lyngbysild Fiskebakken 10 | Lyngby | 2800 | Denmark | 43844108 |
|
||||
| 22 | Zaanse Snoepfabriek | Dirk Luchte | Verkoop Rijnweg 22 | Zaandam | 9999 ZZ | Netherlands | (12345) 1212 |
|
||||
| 23 | Karkki Oy | Anne Heikkonen | Valtakatu 12 | Lappeenranta | 53120 | Finland | (953) 10956 |
|
||||
| 24 | G'day, Mate | Wendy Mackenzie | 170 Prince Edward Parade Hunter's Hill | Sydney | 2042 | Australia | (02) 555-5914 |
|
||||
| 25 | Ma Maison | Jean-Guy Lauzon | 2960 Rue St. Laurent | Montréal | H1J 1C3 | Canada | (514) 555-9022 |
|
||||
| 26 | Pasta Buttini s.r.l. | Giovanni Giudici | Via dei Gelsomini, 153 | Salerno | 84100 | Italy | (089) 6547665 |
|
||||
| 27 | Escargots Nouveaux | Marie Delamare | 22, rue H. Voiron | Montceau | 71300 | France | 85.57.00.07 |
|
||||
| 28 | Gai pâturage | Eliane Noz | Bat. B 3, rue des Alpes | Annecy | 74000 | France | 38.76.98.06 |
|
||||
| 29 | Forêts d'érables | Chantal Goulet | 148 rue Chasseur | Ste-Hyacinthe | J2S 7S8 | Canada | (514) 555-2955 |
|
||||
8
docs/docusaurus/docs/example-db/_category_.json
Normal file
8
docs/docusaurus/docs/example-db/_category_.json
Normal file
@ -0,0 +1,8 @@
|
||||
{
|
||||
"label": "Example Database",
|
||||
"position": 3,
|
||||
"link": {
|
||||
"type": "generated-index",
|
||||
"description": "Here you can find the tables of the database used for the examples"
|
||||
}
|
||||
}
|
||||
@ -5,10 +5,10 @@ slug: /
|
||||
|
||||
# Introduction
|
||||
|
||||
:::info Not finished
|
||||
This documentation is far from being finished.<br/>
|
||||
It holds the most useful information, but lacks depth and examples.<br/>
|
||||
It will be expanded in the near future.
|
||||
:::warning Documentation not finished
|
||||
This documentation is still in development.
|
||||
|
||||
Some examples might be missing.
|
||||
:::
|
||||
|
||||
awSQL is a fast and reliable database query tool.
|
||||
@ -17,7 +17,7 @@ It is designed to minimize the risk of sql-injections while maximizing usability
|
||||
|
||||
It prevents you from altering a whole set of rows by accident.
|
||||
|
||||
awSQL is designed to programmatically work with databases in an obvious manner. No more writing pesky and confusing sql-queries
|
||||
awSQL is designed to programmatically work with databases in an obvious manner. No more writing pesky and confusing sql-queries.
|
||||
|
||||
## Getting Started
|
||||
|
||||
@ -25,26 +25,14 @@ To get started all you need is:
|
||||
|
||||
- An hosted database
|
||||
- Your credentials
|
||||
- The `mysql` module from npm.
|
||||
|
||||
To install the `mysql` module, type:
|
||||
To install `awSQL` you can use npm:
|
||||
|
||||
```shell showLineNumbers
|
||||
npm install mysql
|
||||
```shell
|
||||
npm i git+https://git.pwcca.eu/Sam/awSQL.git#release
|
||||
```
|
||||
|
||||
→ Next move the /awSQL folder into your workspace.
|
||||
|
||||
Now you can access the default exports:
|
||||
|
||||
```js index.js showLineNumbers
|
||||
const {awSQL, Structure} = require("./awSQL");
|
||||
|
||||
const instance = awSQL.createInstance("localhost", "myUser", "myPass");
|
||||
instance.connect();
|
||||
|
||||
// Do stuff
|
||||
```
|
||||
- Please make sure to use the #release branch to not download the dev-version.
|
||||
|
||||
## Exports
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
sidebar_position: 1
|
||||
sidebar_position: 2
|
||||
---
|
||||
|
||||
# ColumnStructure
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
---
|
||||
sidebar_position: 2
|
||||
sidebar_position: 3
|
||||
---
|
||||
|
||||
# ConstraintOptions
|
||||
|
||||
40
docs/docusaurus/docs/typedefs/okpacket.md
Normal file
40
docs/docusaurus/docs/typedefs/okpacket.md
Normal file
@ -0,0 +1,40 @@
|
||||
---
|
||||
sidebar_position: 1
|
||||
---
|
||||
|
||||
# OkPacket
|
||||
|
||||
`Object`
|
||||
|
||||
The OkPacket is a response object from MySQL that provides metadata about a successfully executed query. It contains details such as the number of affected rows, insert IDs, server status, warnings, and protocol information. This packet is typically returned for INSERT, UPDATE, DELETE, and other non-SELECT statements.
|
||||
|
||||
## Structure
|
||||
|
||||
| Property | Type | Description |
|
||||
| -- | -- | -- |
|
||||
| `fieldCount` | __Number__ | Defaults to 0 on non-select queries |
|
||||
| `affectedRows` | __Number__ | The number of rows affected by the query. Does not mean all rows were changed |
|
||||
| `insertId` | __Number__ | The ID of the last inserted row if the table has an auto-increment column; otherwise always 0 |
|
||||
| `serverStatus` | __Number__ | A status flag representing the current state of the mysql server |
|
||||
| `warningCount` | __Number__ | The number of warnings generated during query execution |
|
||||
| `message` | __String__ | An optional message providin additional information about the query result (normally empty) |
|
||||
| `protocol41` | __Boolean__ | Whether mysql protocol 4.1 or later is used |
|
||||
| `changedRows` | __Number__ | The number of rows actually changed by the query |
|
||||
|
||||
## Common serverStatus
|
||||
|
||||
:::info `serverStatus` is a bitmask
|
||||
This means multiple statuses can be set at the same time. For example, if `SERVER_STATUS_AUTOCOMMIT` (__1__) and `SERVER_STATUS_IN_TRANS` (__2__) are both active, the `serverStatus` value will be the combination of the corresponding bits (bitwise OR operation). It therefore will become __3__
|
||||
:::
|
||||
|
||||
| `serverStatus`-Value | Status | Description |
|
||||
| -- | -- | -- |
|
||||
| __1__ | `SERVER_STATUS_AUTOCOMMIT` | The server is in autocommit mode, meaning each query is treated as a single transaction and is automatically committed |
|
||||
| __2__ | `SERVER_STATUS_IN_TRANS` | The server is in a transaction. This means that queries are being executed within an open transaction, and they have not been committed yet |
|
||||
| __8__ | `SERVER_STATUS_MORE_RESULTS_EXISTS` | There are more result set available. This status is seen when a `SELECT` query returns multiple result sets (e.g., when using `SELECT ... INTO OUTFILE`) |
|
||||
| __16__ | `SERVER_STATUS_NO_GOOD_INDEX_USED` | The server did not use a good index for the query. This might indicate a suboptimal query execution, such as using a less efficient index for the query |
|
||||
| __32__ | `SERVER_STATUS_NO_INDEX_USED` | The server did not use any __index__ for the query, which may lead to slower performance due to a full table scan |
|
||||
| __64__ | `SERVER_STATUS_QUERY_NO_GOOD_INDEX_USED` | Indicates that no suitable index was used during the query execution, potentially resulting in performance issues |
|
||||
| __128__ | `SERVER_STATUS_CURSOR_EXISTS` | A __cursor__ exists and is used for the query. This status is relevant for more complex queries or when cursors are used for querying |
|
||||
| __256__ | `SERVER_STATUS_LAST_INSERT_ID` | This status indicates that the __last__ `INSERT` __statement__ generated an `AUTO_INCREMENT` ID. It is important for `INSERT` queries, as it relates to auto-generated IDs |
|
||||
| __512__ | `SERVER_STATUS_DB_DROPPED` | This status indicates that a __database was dropped__ |
|
||||
20
index.js
20
index.js
@ -263,7 +263,7 @@ class Instance {
|
||||
* Drops a whole database
|
||||
* - Requires admin privileges
|
||||
* @param {String} database - Name of the database to drop
|
||||
* @returns {Any}
|
||||
* @returns {OkPacket}
|
||||
*/
|
||||
async dropDatabase (database){
|
||||
if (!database) throw new Error(`Can't drop database: No database given`);
|
||||
@ -274,7 +274,7 @@ class Instance {
|
||||
/**
|
||||
* Drops a whole table
|
||||
* @param {String} table - Name of the table to drop
|
||||
* @returns {Any}
|
||||
* @returns {OkPacket}
|
||||
*/
|
||||
async dropTable(table){
|
||||
if (!table) throw new Error("Can't drop table: No table set");
|
||||
@ -287,7 +287,7 @@ class Instance {
|
||||
* Creates a new database
|
||||
* - Requires admin privileges
|
||||
* @param {String} name - Name of the database to create
|
||||
* @returns {Any}
|
||||
* @returns {OkPacket}
|
||||
*/
|
||||
async createDatabase(name){
|
||||
if (!name) throw new Error(`Can't create database: No name given`);
|
||||
@ -385,7 +385,7 @@ class Instance {
|
||||
/**
|
||||
* Returns total amount of rows of a table
|
||||
* @param {String} table - Table name
|
||||
* @returns {Any}
|
||||
* @returns {Number}
|
||||
*/
|
||||
async total(table){
|
||||
if (!table) throw new Error("Can't get structure: table not given");
|
||||
@ -410,6 +410,18 @@ class Instance {
|
||||
* @property {Array<String>} passed - String representation of passed checks
|
||||
*/
|
||||
|
||||
/**
|
||||
* @typedef {Object} OkPacket
|
||||
* @property {Number} fieldCount - Defaults to 0 on non-select queries
|
||||
* @property {Number} affectedRows - The number of rows affected by the query
|
||||
* @property {Number} insertId - The ID of the last inserted row if the table has an auto-increment column; otherwise always 0
|
||||
* @property {Number} serverStatus - A status flag representing the current state of the mysql server
|
||||
* @property {Number} warningCount - The number of warnings generated during query execution.
|
||||
* @property {String} message - An optional message providin additional information about the query result (normally empty)
|
||||
* @property {Boolean} protocol41 - Whether mysql protocol 4.1 or later is used
|
||||
* @property {Number} changedRows - The number of rows actually changed by the query
|
||||
*/
|
||||
|
||||
const awSQLInstance = new awSQL();
|
||||
module.exports = {awSQL: awSQLInstance, Structure};
|
||||
|
||||
|
||||
20
package-lock.json
generated
20
package-lock.json
generated
@ -1,16 +1,18 @@
|
||||
{
|
||||
"name": "awsql_refined",
|
||||
"name": "awsql",
|
||||
"version": "1.0.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "awsql_refined",
|
||||
"name": "awsql",
|
||||
"version": "1.0.0",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"dotenv": "^16.4.7",
|
||||
"mysql": "^2.18.1"
|
||||
}
|
||||
},
|
||||
"devDependencies": {}
|
||||
},
|
||||
"node_modules/bignumber.js": {
|
||||
"version": "9.0.0",
|
||||
@ -27,6 +29,18 @@
|
||||
"integrity": "sha512-ZQBvi1DcpJ4GDqanjucZ2Hj3wEO5pZDS89BWbkcrvdxksJorwUDDZamX9ldFkp9aw2lmBDLgkObEA4DWNJ9FYQ==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/dotenv": {
|
||||
"version": "16.4.7",
|
||||
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.7.tgz",
|
||||
"integrity": "sha512-47qPchRCykZC03FhkYAhrvwU4xDBFIj1QPqaarj6mdM/hgUzfPHcpkHJOn3mJAufFeeAxAzeGsr5X0M4k6fLZQ==",
|
||||
"license": "BSD-2-Clause",
|
||||
"engines": {
|
||||
"node": ">=12"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://dotenvx.com"
|
||||
}
|
||||
},
|
||||
"node_modules/inherits": {
|
||||
"version": "2.0.4",
|
||||
"resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
|
||||
|
||||
@ -8,8 +8,8 @@
|
||||
"author": "",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"dotenv": "^16.4.7",
|
||||
"mysql": "^2.18.1"
|
||||
},
|
||||
"devDependencies": {},
|
||||
"description": ""
|
||||
}
|
||||
|
||||
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Reference in New Issue
Block a user