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Food delivery backend service
At present, when querying for all restaurants that are open at a given datetime, we simply iterate over all records and look for matches where the given datetime falls within the opening hours in the json field for the restaurant.
This is a very naive approach. Can we perform some level of filtering on the data layer before any processing and transforming on the application layer?
SQlite supports the json1 format for querying: https://www.sqlite.org/json1.html
Some usage examples:
tape/blue-tape should do: https://www.npmjs.com/package/tape
Taks
We are provided two raw datasets that we want to model onto a relational database schema.
Tasks
Deploy the app on a free hosting tier available somewhere. Heroku might be the easiest.
The datetime parsing module is still a bit flaky. Cover more test cases and fix them all
Tasks
Use a dedicated logging library to provide improved debugging contexts. Bunyan seems like a good choice: https://www.npmjs.com/package/bunyan
Tasks
Can use a config package available in npm: https://www.npmjs.com/package/config
We need to test for concurrent requests on the purchase endpoint. Can we use something like https://www.npmjs.com/package/loadtest ?
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