From 0c4d9f2e02b44b4059ffaad7ef6fc1ba0ad6e4d5 Mon Sep 17 00:00:00 2001
From: premkumardev909 <premkumardev909@gmail.com>
Date: Fri, 29 Nov 2024 06:27:54 +0000
Subject: [PATCH] done

---
 queries.md | 115 ++++++++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 96 insertions(+), 19 deletions(-)

diff --git a/queries.md b/queries.md
index c1ab2c4..7968dd0 100644
--- a/queries.md
+++ b/queries.md
@@ -1,78 +1,155 @@
 ![Root logo](https://imgur.com/Hq8xgzy.png)
+
 # Answers
 
 ### 1. All the companies whose name match 'Babelgum'. Retrieve only their `name` field.
 
-<!-- Your Code Goes Here -->
+query: { "name": "Babelgum" }
+projection: { "name": 1, "\_id": 0 }
+sort: {}
+skip: 0
+limit: 0
 
 ### 2. All the companies that have more than 5000 employees. Limit the search to 20 companies and sort them by **number of employees**.
 
-<!-- Your Code Goes Here -->
+query: { "number_of_employees": { "$gt": 5000 } }
+projection: {}
+sort: { "number_of_employees": 1 }
+skip: 0
+limit: 20
 
 ### 3. All the companies founded between 2000 and 2005, both years included. Retrieve only the `name` and `founded_year` fields.
 
-<!-- Your Code Goes Here -->
+query: { "founded_year": { "$gte": 2000, "$lte": 2005 } }
+projection: { "name": 1, "founded_year": 1, "\_id": 0 }
+sort: {}
+skip: 0
+limit: 0
 
 ### 4. All the companies that had a Valuation Amount of more than 100.000.000 and have been founded before 2010. Retrieve only the `name` and `ipo` fields.
 
-<!-- Your Code Goes Here -->
+query: { "valuation_amount": { "$gt": 100000000 }, "founded_year": { "$lt": 2010 } }
+projection: { "name": 1, "ipo": 1, "\_id": 0 }
+sort: {}
+skip: 0
+limit: 0
 
 ### 5. All the companies that have less than 1000 employees and have been founded before 2005. Order them by the number of employees and limit the search to 10 companies.
 
-<!-- Your Code Goes Here -->
+query: { "number_of_employees": { "$lt": 1000 }, "founded_year": { "$lt": 2005 } }
+projection: {}
+sort: { "number_of_employees": 1 }
+skip: 0
+limit: 10
 
 ### 6. All the companies that don't include the `partners` field.
 
-<!-- Your Code Goes Here -->
+query: { "partners": { "$exists": false } }
+projection: {}
+sort: {}
+skip: 0
+limit: 0
 
 ### 7. All the companies that have a null type of value on the `category_code` field.
 
-<!-- Your Code Goes Here -->
+query: { "category_code": null }
+projection: {}
+sort: {}
+skip: 0
+limit: 0
 
 ### 8. All the companies that have at least 100 employees but less than 1000. Retrieve only the `name` and `number of employees` fields.
 
-<!-- Your Code Goes Here -->
+query: { "number_of_employees": { "$gte": 100, "$lt": 1000 } }
+projection: { "name": 1, "number_of_employees": 1, "\_id": 0 }
+sort: {}
+skip: 0
+limit: 0
 
 ### 9. Order all the companies by their IPO price in a descending order.
 
-<!-- Your Code Goes Here -->
+query: {}
+projection: {}
+sort: { "ipo.valuation_amount": -1 }
+skip: 0
+limit: 0
 
 ### 10. Retrieve the 10 companies with most employees, order by the `number of employees`
 
-<!-- Your Code Goes Here -->
+query: {}
+projection: {}
+sort: { "number_of_employees": -1 }
+skip: 0
+limit: 10
 
 ### 11. All the companies founded on the second semester of the year. Limit your search to 1000 companies.
 
-<!-- Your Code Goes Here -->
+query: { "founded_month": { "$gte": 7 } }
+projection: {}
+sort: {}
+skip: 0
+limit: 1000
 
 ### 12. All the companies founded before 2000 that have an acquisition amount of more than 10.000.000
 
-<!-- Your Code Goes Here -->
+query: { "founded_year": { "$lt": 2000 }, "acquisition.acquisition_amount": { "$gt": 10000000 } }
+projection: {}
+sort: {}
+skip: 0
+limit: 0
 
 ### 13. All the companies that have been acquired after 2010, order by the acquisition amount, and retrieve only their `name` and `acquisition` field.
 
-<!-- Your Code Goes Here -->
+query: { "acquisition.acquisition_date": { "$gt": new Date("2011-01-01") } }
+projection: { "name": 1, "acquisition": 1, "\_id": 0 }
+sort: { "acquisition.acquisition_amount": -1 }
+skip: 0
+limit:
 
 ### 14. Order the companies by their `founded year`, retrieving only their `name` and `founded year`.
 
-<!-- Your Code Goes Here -->
+query:{}
+projection:{ "name" :1,"founded_year" :1,"\_id" :0}
+sort:{ "founded_year" :1}
+skip :0
+limit :
 
 ### 15. All the companies that have been founded on the first seven days of the month, including the seventh. Sort them by their `acquisition price` in a descending order. Limit the search to 10 documents.
 
-<!-- Your Code Goes Here -->
+query:{ $expr:{ $lte:[{ $dayOfMonth:"$founded_date"},7]} }
+projection:{}
+sort:{ acquisition_price:-1}
+skip :
+limit :10
 
 ### 16. All the companies on the 'web' `category` that have more than 4000 employees. Sort them by the amount of employees in ascending order.
 
-<!-- Your Code Goes Here -->
+query:{ category:"web", number_of_employees:{ $gt :40000}}
+projection:{}
+sort:{ number_of_employees :1}
+skip :
+limit :
 
 ### 17. All the companies whose acquisition amount is more than 10.000.000, and currency is 'EUR'.
 
-<!-- Your Code Goes Here -->
+query:{ acquisition_amount :{ $gt :10000000}, currency:"EUR"}
+projection:{}
+sort :
+skip :
+limit :
 
 ### 18. All the companies that have been acquired on the first trimester of the year. Limit the search to 10 companies, and retrieve only their `name` and `acquisition` fields.
 
-<!-- Your Code Goes Here -->
+query:{ acquisition_date :{ $gte:new Date("2024-01-01"),$lt:new Date("2024-04-01")}}
+projection:{ name :1 , acquisition :1 ,\_id :0}
+sort :
+skip :
+limit :10
 
 ### 19. All the companies that have been founded between 2000 and 2010, but have not been acquired before 2011.
 
-<!-- Your Code Goes Here -->
+query:{ founded_year :{ $gte :2000 ,$lte :20100}, acquisition_date :{ $gte:new Date("2011-01-01")}}
+projection:{}
+sort :
+skip :
+limit :