[MADPT-NOV-2021]Luis Garcia

queries.js

@@ -1,7 +1,106 @@
-
-
 print('Employees')
 
 // List all the employees.
 print('1. List all Employees')
-db.employees.find({}).forEach(printjsononeline)
+db.employees.find({}).forEach(printjsononeline)
+db.employees.find();
+
+
+//Find the employee with whose name is Steve
+db.employees.find({ name: "Steve" })
+
+//Find all employees whose age is greater than 30
+db.employees.find({ age: { $gt: 30 } })
+
+//Find the employee whose extension is 2143
+db.employees.find({ "phone.ext": "2143" })
+
+//fin all employees that are over 30
+db.employees.find({ age: { $gt: 30 } })
+
+//Find all employees that are less than or equal to 30
+db.employees.find({ age: { $lte: 30 } })
+
+//Find all the employees whose favorite food is pizza.
+db.employees.find({
+    "favorites.food": "pizza "
+})
+
+//Change Willy's personal phone humber to "93-123-45-67"
+db.employees.updateOne({ name: "Willy" }, { $set: { "phone.personal": "93-123-45-67" } })
+
+//Change Bob's privilege to normal user.
+db.employees.updateOne({ name: "Bob" }, { $set: { "privileges": "user" } })
+
+//Find all employees whose favorite artist is equal to Picasso
+db.employees.find({ "favorites.artist": "Picasso" })
+
+//Delete the user John
+db.employees.deleteOne({ name: "John" })
+
+//List all the restaurants
+
+db.restaurants.find()
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and zip code
+db.restaurants.find({}, { restaurant_id: 1, name: 1, borough: 1, zipcode: 1 })
+
+//Find the restaurants which are in the borough Bronx
+db.restaurants.find({ borough: "Bronx" })
+
+//Find the restaurants whic are in the borough Brooklyn
+db.restaurants.find({ borough: "Brooklyn" })
+
+
+//Find the restaurants which have achieved a score bigger than 90
+db.restaurants.find({ score: { $gt: 90 } })
+
+//Find the restaurants that do not prepare any Bakery cuisine and with a grade score equal or bigger than 70
+db.restaurants.find({ cuisine: { $ne: "Bakery" }, "grades.score": { $gt: 70 } })
+
+//Find the restaurants which do not prepare any Chinese cuisine and have achieved a grade point A which do not belong to the borough Manhattan
+db.restaurants.find({ cuisine: { $ne: "Chinese" }, "grades.score": "A", borough: { $ne: "Manhattan" } })
+
+//Update restaurants with American cuisine to American withou the space
+db.restaurants.updateOne({ cuisine: "American " }, { $set: { cuisine: "American" } })
+
+//Update Morris Park Bake shop adress street to Calle falsa 123
+db.restaurants.updateOne({ address: "Morris Park Bake shop" }, {
+    $set: { address: "Calle falsa 123" }
+})
+
+//Delete all the restaurants with address zipcode 10466
+db.employees.deleteMany({
+    "address.zipcode": "10466"
+})
+
+print("Companies")
+
+//Find all the companies that include 'Facebook' on the name field
+db.companies.find({ name: "Facebook" })
+
+//Find all the companies which category_code is 'web', retrieve only their name field
+db.companies.find({ category_code: "web" }, { name: 1 })
+
+//Find all the companies named "Twitter", and retrieve only their name, category_code and founded_year fields
+db.companies.find({ name: "Twitter" }, { name: 1, category_code: 1, founded_year: 1 })
+
+//Find all the companies who have web as their category_code, but limit the search to 50 companies.
+db.companies.find({ category_code: "web" }).limit(50)
+
+//Find all the companies which category_code is 'enterprise' and have been founded in 2005. Retrieve only the name, category_code and founded_year fields.
+db.companies.find({ $or: [{ founded_year: 2005 }, { number_of_employees: 20 }] }).sort({ number_of_employees: -1 })
+
+//Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code
+db.companies.find({ $nor: [{ category_code: "web" }, { category_code: "social" }] }).limit(20)
+
+//Find all the companies that were not founded on 'June', skip the first 50 results and retrieve only the founded_month and name fields
+db.companies.find({ founded_month: 6 }, { name: 1, founded_month: 1 }).skip(50)
+
+//Find all the companies that have 50 employees but do not correspond to the 'web' category_code
+db.companies.find({ category_code: { $nin: ["web"] }, number_of_employees: 50 })
+
+//Find all the companies that have been founded on the 1st of the month, but does not have either 50 employees nor 'web' as their category_code, retrieve only the founded_day and name and limit the search to 5 documents.
+db.companies.find({ founded_day: 1, $nor: [{ number_of_employees: 50 }, { category_code: "web" }] }, { name: 1, founded_day: 1 }).limit(5)
+    //Find all the companies which the price_amount of the acquisition was 40.000.000, sort them by name
+db.companies.find({ "acquisition.acquired_month": 1, "acquisition.acquired_year": 2014 }, { acquisition: 1, name: 1 })