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BCN - FT - Ale DLM #12

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18,801 changes: 18,801 additions & 0 deletions data/companies 2.json
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40 changes: 20 additions & 20 deletions queries.md
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### 1. All the companies that it's name match 'Babelgum'. Retrieve only their `name` field.

<!-- Your Code Goes Here -->
db.companies.find({name: "Babelgum"},{name:1, _id: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 -->
db.companies.find({number_of_employees:{$gt:5000}}).limit(20).sort({number_of_employees: 1})

### 3. All the companies founded between 2000 and 2005, both years included. Retrieve only the `name` and `founded_year` fileds.

<!-- Your Code Goes Here -->
db.companies.find({founded_year:{$gte:2000, $lte:2005}}, {name: 1, founded_year: 1, _id:0}).pretty()

### 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 -->
db.companies.find({$and: [{founded_year:{$lt:2000}}, {"ipo.valuation_amount": {$gt: 100000000}}]}, {name: 1, ipo: 1, _id:0}).pretty()

### 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 -->
db.companies.find({$and: [{founded_year:{$lt:2005}}, {"number_of_employees": {$lt: 1000}}]}).limit(10).sort({number_of_employees: 1}).pretty()

### 6. All the companies that don't include the `partners` field.

<!-- Your Code Goes Here -->
db.companies.find( { partners: { $exists: false } } )

### 7. All the companies that have a null type of value on the `category_code` field.

<!-- Your Code Goes Here -->
db.companies.find( { category_code: null } ).pretty()

### 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 -->
db.companies.find({$and: [{number_of_employees:{$lt:1000}}, {number_of_employees: {$gt: 100}}]}, {name: 1, number_of_employees: 1, _id:0}).pretty()

### 9. Order all the companies by their IPO price descendently.

<!-- Your Code Goes Here -->
db.companies.find().sort({"ipo.valuation_amount":-1}).pretty()

### 10. Retrieve the 10 companies with more employees, order by the `number of employees`

<!-- Your Code Goes Here -->
db.companies.find().sort({"number_of_employees":-1}).limit(10).pretty()

### 11. All the companies founded on the second semester of the year. Limit your search to 1000 companies.

<!-- Your Code Goes Here -->
db.companies.find({founded_month: {$gte: 7}}).limit(10).pretty()

### 12. All the companies that have been 'deadpooled' after the third year.

<!-- Your Code Goes Here -->
db.companies.find({deadpooled_year: {$gte: 3}}).limit(10).pretty()

### 13. All the companies founded before 2000 that have and acquisition amount of more than 10.000.000

<!-- Your Code Goes Here -->
db.companies.find({$and: [{founded_year:{$lt:2000}}, {"acquisition.price_amount": {$gt: 10000000}}]}).pretty()

### 14. All the companies that have been acquired after 2015, order by the acquisition amount, and retrieve only their `name` and `acquisiton` field.

<!-- Your Code Goes Here -->
db.companies.find({"acquisition.acquired_year": {$gt: 2015}},{name: 1, acquisition:1, _id:0}).sort({"acquisition.price_amount":-1}).pretty()

### 15. Order the companies by their `founded year`, retrieving only their `name` and `founded year`.

<!-- Your Code Goes Here -->
db.companies.find({},{name: 1, founded_year:1, _id:0}).sort({founded_year:1}).pretty()

### 16. All the companies that have been founded on the first seven days of the month, including the seventh. Sort them by their `aquisition price` descendently. Limit the search to 10 documents.

<!-- Your Code Goes Here -->
db.companies.find({"founded_day": {$lte: 7}}).sort({"acquisition.price_amount":-1}).limit(10).pretty()

### 17. All the companies on the 'web' `category` that have more than 4000 employees. Sort them by the amount of employees in ascendant order.

<!-- Your Code Goes Here -->
db.companies.find({$and: [{category_code:"web"}, {"number_of_employees": {$gt: 4000}}]}).limit(10).sort({number_of_employees: 1}).pretty()

### 18. All the companies which their acquisition amount is more than 10.000.000, and currency are 'EUR'.

<!-- Your Code Goes Here -->
db.companies.find({$and: [{"acquisition.price_currency_code":"EUR"}, {"acquisition.price_amount": {$gt: 10000000}}]}).limit(10).pretty()

### 19. 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 -->
db.companies.find({"acquisition.acquired_month": {$lt: 3}},{name: 1, acquisition:1, _id:0}).limit(10).pretty()

### 20. All the companies that have been founded between 2000 and 2010, but have not been acquired before 2011.

<!-- Your Code Goes Here -->
db.companies.find({$and: [{founded_year:{$gt:2000}}, {founded_year: {$lt: 2010}}, {"acquisition.acquired_year":{$lte: 2011}}]}).pretty()