Since I separate client from server code, I don't want the server to reload every time I change some frontend stuff, so I only instruct it to watch the /server the directory as such: nodemon server/src/server.js -watch server nodemonĪ really useful tool to reload your Node service every time you change your code. Here are a few modules I think even test projects should include.
Greeninvoice api code#
As you gain more and more experience you'll probably have a toolbelt of your go to modules, but choosing incorrectly at an early stage may sometimes mean you'll have to refactor a lot of ugly code that. There are a billion really popular modules and that makes it difficult to decide which should be used early on. Then in Extra Mocha options enter -g " " (for example: -g "Patients"). This holds true to running Mocha tests from within Webstorm. Since this is grep-like, you can even pass it something partial - anything in the test name or description. Mocha supports selecting which tests to run by running it as: mocha -g How do I choose which tests to run with Mocha and Webstorm? Logentries addon: Aggregates all logs into something that's easy to search and traverse.NewRelic addon: Checks uptime and keeps the dyno warmed up so that it won't take a few seconds to spin up if there's no traffic to it.MongoLabs: I didn't use the Heroku addon rather signed up directly.Is there a place I can deploy my projects for free? I had a much easier time accessing my data because the sort of queries I was doing just clicked with how the schema was laid out, and that is how everyone says you should base your schema design anyway. However, once I realized this wasn't the case I quickly switched the schema to hold everything relevant under a single document and things flew (code complexity wise, not performance wise). This was done under the incorrect understanding that embedded/sub documents declared with mongoose create seperate documents under the hood anyway. To be honest, at first I used Mongo as a relational datastore - I simply converted tables to documents, with references between them. I knew only getting my hands dirty would illustrate the document paradigm for better and worse I really wanted to put all the stuff I read about the pitfalls/benefits of document stores to practice.There's a ton of documentation on Mongo integration and defacto standard tools to wrap it (mongoose, for example) Clearly SQL is a road less traveled with Node/Express.
Greeninvoice api free#
Heroku's free Postgre tier has a 4 hour monthly downtime which I couldn't stomach There is no free SQL hosting service I felt like using.At first I decided to stick with MySQL but I quickly switched to Mongo for a few reasons: Thinking relational is what I'm used to and it's not trivial to make the shift to schemas that may actually encourage data duplication. There's no right answer here, so I'll speak from experience. Should I embrace Mongo or stick with Postgre/MySQL? Backend MEAN (Angular, Node) for Django programmers (part 2)Ĭontinuing where I left off in part 1, a list of things I had to struggled with when I switched from Django to MEAN.
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