diff --git a/mongo-tools b/mongo-tools new file mode 160000 index 0000000..170b6f2 --- /dev/null +++ b/mongo-tools @@ -0,0 +1 @@ +Subproject commit 170b6f2557fa659b74e8268afcfaadd7c8d608df diff --git a/queries.md b/queries.md index c1ab2c4..3dbb605 100644 --- a/queries.md +++ b/queries.md @@ -4,75 +4,94 @@ ### 1. All the companies whose name match 'Babelgum'. Retrieve only their `name` field. +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**. +db.companies.find({ number_of_employees: { $gt: 5000 } }).sort({ number_of_employees: 1 }).limit(20) ### 3. All the companies founded between 2000 and 2005, both years included. Retrieve only the `name` and `founded_year` fields. +db.companies.find({ founded_year: { $gte: 2000, $lte: 2005 } }, { name: 1, founded_year: 1, _id: 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. +db.companies.find({ ipo_valuation_amount: { $gt: 100000000 }, founded_year: { $lt: 2010 } }, { name: 1, ipo: 1, _id: 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. +db.companies.find({ number_of_employees: { $lt: 1000 }, founded_year: { $lt: 2005 } }).sort({ number_of_employees: 1 }).limit(10) ### 6. All the companies that don't include the `partners` field. +db.companies.find({ partners: { $exists: false } }) ### 7. All the companies that have a null type of value on the `category_code` field. +db.companies.find({ category_code: null }) ### 8. All the companies that have at least 100 employees but less than 1000. Retrieve only the `name` and `number of employees` fields. +db.companies.find({ number_of_employees: { $gte: 100, $lt: 1000 } }, { name: 1, number_of_employees: 1, _id: 0 }) ### 9. Order all the companies by their IPO price in a descending order. +db.companies.find().sort({ ipo_valuation_amount: -1 }) ### 10. Retrieve the 10 companies with most employees, order by the `number of employees` +db.companies.find().sort({ number_of_employees: -1 }).limit(10) ### 11. All the companies founded on the second semester of the year. Limit your search to 1000 companies. +db.companies.find({ founded_month: { $gte: 6, $lte: 12 } }).limit(1000) ### 12. All the companies founded before 2000 that have an acquisition amount of more than 10.000.000 +db.companies.find({ founded_year: { $lt: 2000 }, acquisition_amount: { $gt: 10000000 } }) ### 13. All the companies that have been acquired after 2010, order by the acquisition amount, and retrieve only their `name` and `acquisition` field. +db.companies.find({ acquisition_year: { $gt: 2010 } }).sort({ acquisition_amount: 1 }).project({ name: 1, acquisition: 1, _id: 0 }) ### 14. Order the companies by their `founded year`, retrieving only their `name` and `founded year`. +db.companies.find({}, { name: 1, founded_year: 1, _id: 0 }).sort({ founded_year: 1 }) ### 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. +db.companies.find({ founded_day: { $lte: 7 } }).sort({ acquisition_amount: -1 }).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. +db.companies.find({ category_code: "web", number_of_employees: { $gt: 4000 } }).sort({ number_of_employees: 1 }) ### 17. All the companies whose acquisition amount is more than 10.000.000, and currency is 'EUR'. +db.companies.find({ acquisition_amount: { $gt: 10000000 }, acquisition_currency: "EUR" }) ### 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. +db.companies.find({ acquisition_quarter: { $in: [1, 2, 3] } }, { name: 1, acquisition: 1, _id: 0 }).limit(10) ### 19. All the companies that have been founded between 2000 and 2010, but have not been acquired before 2011. +db.companies.find({ founded_year: { $gte: 2000, $lte: 2010 }, acquisition_year: { $gt: 2010 } })