Hi , I'm Ayush Srivastav

Large File Processor

STEPS to RUN THE Code

• Install Docker on your system, ignore if it is already installed
• Clone the Project in any diretory on your local machine
• Open terminal and go to the directory where project is cloned
• Run below commands to build and run the project
  • docker build -t large-file-processor .
  • docker run -it -p 8080:3000 -d large-file-processor

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API END-POINTS

Server runs on PORT: 8080 - API Link: localhost/8080

Following are the API Links for performing different task in Large File Prcessor system

1. Import products.csv file to into products collection of MongoDB

   • API Link: localhot/8080/api/products/import
   • METHOD: GET

2. Get all the products from the database

   • API Link: localhot/8080/api/products/fetchdata
   • METHOD: GET

3. Update a product by sku field as primary key

   • API Link: localhot/8080/api/products/:sku/update
   • METHOD: PUT

4. Aggregate products by no. of products based on rows with same name

   • API Link: localhot/8080/api/products/aggregate
   • METHOD: GET

   {
   "success": "Products aggregated",
   "status": 200,
   "data": [
       {
           "_id": "Kevin Brennan",
           "total": 1
       },
       {
           "_id": "Angela Thompson",
           "total": 1
       },
       {
           "_id": "Sarah Edwards",
           "total": 1
       },
       .
       .
       .
       ]
   }

5. Get product by id

   • API Link: localhot/8080/api/products/:id
   • METHOD: GET

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