[MADPT112021] Isa Gutierrez

queries.js

@@ -1,7 +1,111 @@
-
-
 print('Employees')
 
 // List all the employees.
-print('1. List all Employees')
-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: {$gt: 30}})
+
+// Find the employee whose extension is 2143.
+db.employees.find({"phone.ext": "2143"})
+
+// Find all employees that are over 30.
+db.employees.find({age: {$gt: 30}})
+
+// Find all employees that are less than or equal to 30.
+db.employees.find({age: {$lte: 30}})
+
+// Find all the employees whose favorite food is pizza.
+db.employees.find({"favorites.food": "pizza"})
+
+// Change Willy’s personal phone number to "93-123-45-67".
+db.employees.updateOne({name: "Willy"}, {$set: {"phone.personal": "93-123-45-67"}})
+
+// Change Bob’s privilege to normal user.
+db.employees.updateOne({name: "Bob"}, {$set: {privileges: "user"}})
+
+// Find all employees whose favorite artist is equal to Picasso.
+db.employees.find({"favorites.artist": "Picasso"})
+
+// Delete the user John.
+db.employees.deleteOne({name: "John"})
+
+
+
+print('Restaurants')
+
+// List all the restaurants.
+db.restaurants.find()
+
+// Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine.
+db.restaurants.find({}, {restaurant_id: 1, name: 1, borough: 1, cuisine: 1})
+
+// Find all the restaurants and display only the fields restaurant_id, name, borough and zip code.
+db.restaurants.find({}, {restaurant_id: 1, name: 1, borough: 1, zipcode: 1})
+
+// Find the restaurants which are in the borough Bronx.
+db.restaurants.find({borough: "Bronx"})
+
+// Find the restaurants which are in the borough Brooklyn with Steak cuisine.
+db.restaurants.find({borough: "Brooklyn"}, {cuisine: "Steak"})
+
+// Find the restaurants which have achieved a score bigger than 90.
+db.restaurants.find({"grades.score": {$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: {$ne: "Bakery"}, "grades.score": {$gte: 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:{$ne: "Chinese"}, "grades.grade": "A", borough: {$ne: "Manhattan"}})
+
+// Update restaurants with 'American ' cuisine to 'American' (without the space!!!)
+db.restaurants.updateMany({cuisine: "American "}, {$set: {cuisine: "American"}})
+
+// Update Morris Park Bake Shop address street to Calle falsa 123.
+db.restaurants.updateOne({name: "Morris Park Bake Shop"}, {$set: {"address.street": "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'. Retrive 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({category_code: "enterprise", founded_year: 2005}, {name: 1, category_code: 1, founded_year: 1})
+
+// Find all the companies that have been founded on the 2000 or have 20 employees. Sort them descendingly by their number_of_employees.
+db.companies.find({$or: [{founded_year: 2000}, {number_of_employees: 20}]}).sort({ number_of_employees: -1})
+
+// Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code.
+db.companies.find({$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.price_amount": 40000000}).sort({name: 1})
+
+// Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields.
+db.companies.find({"acquisition.acquired_month": 1, "acquisition.acquired_year": 2014}, {acquisition: 1, name: 1})