From 18ac6e600951ffbf97e653628e68c71229ef950d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ignacio=20Roman=C3=AD?= <ignacioromani@gmail.com>
Date: Fri, 15 Jul 2022 19:52:57 +0200
Subject: [PATCH] lab solved

---
 .DS_Store  | Bin 0 -> 6148 bytes
 queries.js | 112 +++++++++++++++++++++++++++++++++++++++++++++++++++--
 2 files changed, 108 insertions(+), 4 deletions(-)
 create mode 100644 .DS_Store

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..eb0306a686f62fb2a22b7e7a9aa3ddfa9063506d
GIT binary patch
literal 6148
zcmeHKJ8r`;3?*9+2D*6cs4L_KLg1bt7id~1Q-KU_cTYW6kCw;J&_M0xEXE^1J&EFz
zpf{MNi0J-n+KCJz(!&kq+lJO`-@LJhj3^L}GiEu-r_ASRes8k>4j8wWNsizhfAili
zmk-;dQ2{DI1*iZOpaQEZkma?1TJ=;OMg^$A78J1WLxCIC#3j%_9T>a?0CotwVeY*I
zuvh?C6PG|lU>a0lP&Hc&4Laf_^J?M}7<AEWJ~VIE>`>Hi$N9z6MQb2ODnJEp6?ly0
zVD<k6{!jmZOX7+OP=QS;pxt;F_jpp)*5+|mYYY4pZaF`2Gt8ZW!OJnw%P|&Kj-Nd#
a@`}x|UlW%=rz7rkAb$o-7aA3~w*puGBNdwf

literal 0
HcmV?d00001

diff --git a/queries.js b/queries.js
index 99f09c5..5bef5d0 100644
--- a/queries.js
+++ b/queries.js
@@ -1,7 +1,111 @@
+//EMPLOYEES
 
+//List all the employees.
+db.employees.find({}, { id: 0, name:1 })
 
-print('Employees')
+//Find the employee with whose name is Steve.
+db.employees.find({ name : "Steve" })
 
-// List all the employees.
-print('1. List all Employees')
-db.employees.find({}).forEach(printjsononeline)
\ No newline at end of file
+//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: { $gte: 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"}, { $set: { "privileges": "user" } })
+
+//Find all employees whose favorite artist is equal to Picasso.
+db.employees.find({ 'favorites.artist': "Picasso"})
+
+//Delete the user John.
+db.employees.remove({ 'name': "John"})
+
+
+
+//RESTAURANTS
+
+//List all the restaurants.
+db.Restaurants.find({}, { name: 1 })
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine.
+db.Restaurants.find({}, { name: 1, borough: 1, cuisine: 1 })
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and zip code.
+db.Restaurants.find({}, { name: 1, borough: 1, "address.zipcode": 1 })
+
+//Find the restaurants which are in the borough Bronx.
+db.Restaurants.find({ borough: "Bronx" })
+
+//Find the restaurants which are in the borough Brooklyn with Steak cuisine.
+db.Restaurants.find({ borough: "Brooklyn", cuisine: "Steak" })
+
+//Find the restaurants which have achieved a score bigger than 90.
+db.Restaurants.find({ "grades.score": {$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({ $and: [ { 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({ $and: [ { 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/ })
+
+//Let's do it one more together: ??
+//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" }, { id: 0, 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({ $and: [ { category_code: "enterprise" }, { founded_year: 2005 }] }, { id: 0, 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: [ { number_of_employees: "20" }, { founded_year: 2000 }] }).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({ $and: [ { category_code: { $ne : "web" } }, { category_code: { $ne : "social" } }] }, { id: 0, 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.
+db.companies.find({ founded_month: { $ne: 6 } }, { id: 0, founded_month: 1, name: 1 }).skip(50)
+
+//Find all the companies that have 50 employees, but do not correspond to the 'web' category_code.
+db.companies.find({ $and: [ { number_of_employees: 50 }, { category_code: { $ne: "web" } } ] })
+
+//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({ $and: [ { founded_day: 1 }, { number_of_employees: { $ne: 50 } }, { category_code: { $ne: "web" } } ] }, { id: 0, 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 }, { name: 1 }).sort("name").collation({ locale: "en", caseLevel: true })
+
+//Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields.
+db.companies.find({ $and: [ { "acquisition.acquired_year": 2014 }, { "acquisition.acquired_month": 1 } ] }, { id: 0, acquisition: 1, name: 1 })
\ No newline at end of file