From 6f9601b035f19a7b7a8499fa4344838f409f957d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gabriela=20Garc=C3=ADa?= Date: Fri, 30 Jun 2023 21:53:12 +0200 Subject: [PATCH] employees, restaurants and half of companies --- queries.js | 101 +++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 99 insertions(+), 2 deletions(-) diff --git a/queries.js b/queries.js index 99f09c5..2f41bac 100644 --- a/queries.js +++ b/queries.js @@ -1,7 +1,104 @@ - +//EMPLOYEES print('Employees') // List all the employees. print('1. List all Employees') -db.employees.find({}).forEach(printjsononeline) \ No newline at end of file +db.employees.find({}).forEach(printjsononeline); + +// 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" }) + +//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, _id: 0 }) + +//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, "address.zipcode": 1, _id: 0 }) + +//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({ $and: [{ borough: "Brooklyn" }, { cuisine: "Steak" }] }) + +//Find the restaurants which have achieved a score bigger than 90. +db.restaurants.find({ "grades.score": {$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.restaurants.deleteMany({ "address.zipcode": "10466" }) + +//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, _id:0}) + +//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, _id: 0}) + +//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({ $or: [{founded_year: 2000}, {number_of_employees: 20}]}).sort({number_of_employees: -1}) + +//Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code. +db.companies.find({ category_code: {$nin: ["web", "social"]}}, {name: 1, category_code: 1}).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. + +//Find all the companies that have 50 employees, but do not correspond to the 'web' category_code. + +//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. + +//Find all the companies which the price_amount of the acquisition was 40.000.000. Sort them by name. + +//Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields. \ No newline at end of file