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Create a database called "lab"
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"Use" that database
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Create a collection in that database called "employees"
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Run this code to insert many documents into your employees collection
db.employees.insert([{ name: 'Daisy', dob: new Date(1992,2,13,7,47), loves: ['carrot','papaya'], weight: 600, gender: 'm', salary: 63 },{ name: 'Aurora', dob: new Date(1991, 0, 24, 13, 0), loves: ['carrot', 'grape'], weight: 450, gender: 'f', salary: 43 },{ name: 'Unicrom', dob: new Date(1973, 1, 9, 22, 10), loves: ['energon', 'redbull'], weight: 984, gender: 'm', salary: 182 },{ name: 'Roooooodles', dob: new Date(1979, 7, 18, 18, 44), loves: ['apple'], weight: 575, gender: 'm', salary: 99 },{ name: 'Solnara', dob: new Date(1985, 6, 4, 2, 1), loves:['apple', 'carrot','chocolate'], weight:550, gender:'f', salary:80 },{ name:'Ayna', dob: new Date(1998, 2, 7, 8, 30), loves: ['strawberry', 'lemon'], weight: 733, gender: 'f', salary: 40 },{ name:'Kenny', dob: new Date(1997, 6, 1, 10, 42), loves: ['grape', 'lemon'], weight: 690, gender: 'm', salary: 39 },{ name: 'Raleigh', dob: new Date(2005, 4, 3, 0, 57), loves: ['apple', 'sugar'], weight: 421, gender: 'm', salary: 2 },{ name: 'Leia', dob: new Date(2001, 9, 8, 14, 53), loves: ['apple', 'watermelon'], weight: 601, gender: 'f', salary: 33 },{ name: 'Pilot', dob: new Date(1997, 2, 1, 5, 3), loves: ['apple', 'watermelon'], weight: 650, gender: 'm', salary: 54 },{ name: 'Nimue', dob: new Date(1999, 11, 20, 16, 15), loves: ['grape', 'carrot'], weight: 540, gender: 'f' },{ name: 'Dunx', dob: new Date(1976, 6, 18, 18, 18), loves: ['grape', 'watermelon'], weight: 704, gender: 'm', salary: 165}]);
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Read along with these notes about mongo which will go slightly (but only slightly) deeper than we just did. Follow through each of the explanations. Follow the commands and perform appropriate finds after each update call to see the results.
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