LessAccounting is a simple small business-accounting software company that allows clients to easily track online invoices. It can also be used as a simple CRM. The site does not aspire to include loads of features, and instead strives for simplicity and ease-of-use.
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\n\nThe company was founded as eProject, Inc. by Shane Jones in 1997 and changed its name to Daptiv in November 2007. The company is based in Seattle, Washington.
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\n\nEQAL’s worked with the biggest brands on earth, including Kraft, Walgreens, Avon, Clorox and more, and set the bar for social media advertising with the 2011 Effie award-winning Real Women of Philadelphia campaign.
\n\nThe leadership team includes technology and creative executives from CAA, Disney, E! Entertainment, Firstborn, McKinsey, Trailer Park, MTV, FUSE TV, Idealab, and Amazon.
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", "image" : { "available_sizes" : [ [ [ 150, 84 ], "assets/images/resized/0004/9058/49058v2-max-150x150.jpg" ], [ [ 240, 135 ], "assets/images/resized/0004/9058/49058v2-max-250x250.jpg" ], [ [ 240, 135 ], "assets/images/resized/0004/9058/49058v2-max-450x450.jpg" ] ], "attribution" : null }, "products" : [ { "name" : "Ykone.com", "permalink" : "ykone-com" }, { "name" : "Ykone for iPhone", "permalink" : "ykone-for-iphone" }, { "name" : "Ykone for iPad", "permalink" : "ykone-for-ipad" } ], "relationships" : [ { "is_past" : false, "title" : "Co-Founder", "person" : { "first_name" : "Olivier", "last_name" : "Billon", "permalink" : "olivier-billon" } }, { "is_past" : false, "title" : "Co-Founder", "person" : { "first_name" : "Mathieu", "last_name" : "Lebreton", "permalink" : "mathieu-lebreton" } }, { "is_past" : false, "title" : "Board Member", "person" : { "first_name" : "Marie", "last_name" : "Ekeland", "permalink" : "marie-ekeland" } }, { "is_past" : false, "title" : "Investor", "person" : { "first_name" : "Cyril", "last_name" : "Vermeulen", "permalink" : "cyril-vermeulen" } }, { "is_past" : true, "title" : "Director of Product and Marketing", "person" : { "first_name" : "Katie", "last_name" : "Catillaz", "permalink" : "katie-catillaz" } }, { "is_past" : true, "title" : "iOS Software Engineer", "person" : { "first_name" : "Pierre", "last_name" : "Valade", "permalink" : "pierre-valade-2" } } ], "competitions" : [], "providerships" : [ { "title" : "France", "is_past" : true, "provider" : { "name" : "Ballou PR", "permalink" : "ballou-pr" } } ], "total_money_raised" : "€1.5M", "funding_rounds" : [ { "id" : 6586, "round_code" : "a", "source_url" : "http://www.chaussonfinance.com/levee-de-fonds/levee-de-fonds.htm", "source_description" : "Levée de fonds - Chausson Finance", "raised_amount" : 1500000, "raised_currency_code" : "EUR", "funded_year" : 2009, "funded_month" : 5, "funded_day" : 1, "investments" : [ { "company" : null, "financial_org" : { "name" : "Elaia Partners", "permalink" : "elaia-partners" }, "person" : null }, { "company" : null, "financial_org" : { "name" : "Ange Basile", "permalink" : "ange-basile" }, "person" : null } ] } ], "investments" : [], "acquisition" : null, "acquisitions" : [], "offices" : [ { "description" : "Ykone Headquarters", "address1" : "", "address2" : "", "zip_code" : "", "city" : "Paris", "state_code" : null, "country_code" : "FRA", "latitude" : 48.8566667, "longitude" : 2.3509871 } ], "milestones" : [], "ipo" : null, "video_embeds" : [], "screenshots" : [], "external_links" : [ { "external_url" : "http://www.ykone.com", "title" : "Ykone Homepage" } ], "partners" : [] } diff --git a/queries.js b/queries.js index 99f09c5..7aeb368 100644 --- a/queries.js +++ b/queries.js @@ -4,4 +4,111 @@ 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) +db.employees.find().pretty() + +// Find the employee with whose name is Steve. +db.employees.findOne({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"}, {$set: {"privileges": "user"}}) + +// Find all employees whose favorite artist is equal to Picasso. +db.employees.find({"favorites.artist" : "Picasso"}) + +// Delete the user John. +db.employees.deleteOne({name: "John"}) + + +print('Restaurants') + +// List all the restaurants. +db.restaurants.find().pretty() + +// Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine. +db.restaurants.find({}, {restaurant_id: 1, name: 1, borough: 1, cuisine: 1, _id: 0}) + +// Find all the restaurants and display only the fields restaurant_id, name, borough and zip code. +db.restaurants.find({}, {restaurant_id: 1, name: 1, borough: 1, "address.zipcode": 1, _id: 0}) + +// Find the restaurants which are in the borough Bronx. +db.restaurants.find({borough: "Bronx"}) + +// Find the restaurants which are in the borough Brooklyn with Steak cuisine. +db.restaurants.find({borough: "Brooklyn", cuisine: "Steak"}) + +// Find the restaurants which have achieved a score bigger than 90. +db.restaurants.find({"grades.score": {$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.remove({ "address.zipcode": '10466'}) + + +print('Companies ') + +// Find all the companies that include 'Facebook' on the name field. +db.companies.find({name: {$in: ["Facebook"] }}) + +// Find all the companies which category_code is 'web'. Retrive only their name field: +db.companies.find({category_code: "web"}, {name: 1}) + +// Find all the companies named "Twitter", and retrieve only their name, category_code and founded_year fields. +db.companies.find({name: "Twitter"}, {name: 1, category_code: 1, founded_year: 1}) + +// Find all the companies who have web as their category_code, but limit the search to 50 companies. +db.companies.find({category_code: "web"}).limit(50) + +// Find all the companies which category_code is 'enterprise' and have been founded in 2005. Retrieve only the name, category_code and founded_year fields. +db.companies.find({$and: [{"category_code": "enterprise"}, {"founded_year": 2005}]}, {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({$or: [{"founded_year": 2000}, {"number_of_employees": 20}]}).sort({"number_of_employees": -1}) + +// Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code. +db.companies.find({$nor: [{"category_code": "web"}, {"category_code": "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. +db.companies.find({"founded_month": {$ne: 6}}, {founded_month: 1, name:1}).skip(50) + +// Find all the companies that have 50 employees, but do not correspond to the 'web' category_code. +db.companies.find({$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"}}]}, {founded_day: 1, name: 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}).sort({"name": 1}) + +// 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_month": 1}, {"acquisition.acquired_year": 2014}]}, {acquisition: 1, name: 1}) \ No newline at end of file