mongodb-lectures/01.MONGO.md

Databases - Mongo

Lesson Objectives

1. show
2. use
3. create collection
4. insert
5. dropping
6. find
7. remove
8. count

Show

1. show dbs

Use

1. use learn
2. db
   • show current database being used

create collection

1. db.createCollection('testCollection')

Insert

1. db.testCollection.insert({foo:'true'})
2. multi-lines
3. show collections
4. can use regular javascript with variables and functions
   • watch out for cursors from find()
5. can insert array of objects

Dropping

1. db.dropDatabase();
2. db.collection.drop();

Find

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}]);

1. db.employees.find({gender:'m'})
2. db.employees.find({weight : { $gt : 700 }})
   • $lt, $lte, $gt, $gte, $ne, $exists: false, $in: ['orange', 'apple']
3. db.employees.find({loves:'energon'})
   • if field is array, will return search within that array
4. AND
   • db.employees.find({gender: 'm', weight: {$gt: 700}})
5. OR
   • db.employees.find({gender: 'f', $or: [{loves: 'apple'},{weight: {$lt: 500}}]})
6. value between
   • db.employees.find( { salary: { $gte : 80, $lte : 165} } );

Remove

Count