On the presentation for my database project my team and I showed a NodeJS + Mongo + VueJS project with cloud storage capability, nothing fancy but did everything from scratch (from token auth and system encryption to the frontend CSS and the database) the teacher made some questions and meh'd at it.

Behold team two's project, WordPress with a standard template and phpMyAdmin, teacher loves it because "it's so beautiful"

Guess who just failed that class?

God I love college, it's the best time investment I've ever done and it'll surely pay out.

Forgot to secure my mongo db instance, found half the data gone, and a new db holding me at ransom , learn_how_to_recover_your_data , good thing offline backups are a thing.

Recovered in no time, never will I ever repeat this mistake

So today, again, I discovered the importance of unitests.
I was solving this performance issue, in which we had a few update actions for multiple entities in mongo, but it took FOREVER to complete, even when I unified it into one bulkWrite command.
Since the unified write did improve performance slightly, and we wanted to move on, we decided to let this bug go.
So there I was committing my changes when I got a rejection from the pre-commit hook since I didn't have enough unitests coverage.
Ok, let's start writing some unitests.
Some unitests also needed to test the bulk write. So there I was comparing expected with actual result, and suddenly I got a huge facepalm.
Apparently some rogue for loop iterated all entities again for each entity that needed update. So instead of getting one update per entity, I got N identical update commands per each of the N entities 🤦‍♂️
Needless to say, fixing this fixed the performance bug entirely.
Thank you unitests and pre-commit hooks!

Our boss did always the same thing. When there was a BIG potential customer who indicates a small interest in our software, then he lied constantly about features. After the customer bought our software we got a deadline and should develop the missing features. I could remember two features: The first one was a quote tool for a car transport company. The tool should estimate a price for a transportation from an email with no structure and the other one was an API which should be possible to write dynamicly to MySQL, MariaDB, Postgres, MSSQL, DB2, Mongo or better said any possible dbms. The API should guess the structure of the dbs and offer CRUD actions. The funny thing is must write the api with go. Yeah dynamic and GO.

At some time, we told him we wont make any overtime and if the deadline is not possible we told that immediatly the customers, so that they call him. Thank god I don't work anymore in this company.

in my native language.

mongo = "expensive"

Mongo DB

😂

Just had a discussion with a coworker. I noticed he was storing dates as string in mongodb, saying it was better for comparison and because he stored them in UTC. WTH, mongo already stores all dates in UTC and a string date is imposible to compare. I wasted 8 hours finding that last part out.

Fucking mongo, fucking nested documents in nested documents that need to be filtered. I'm either really fucking dumb, the query is hard or both.

What cheap/good quality node.js hosting provider for nodejs/react/mongodb app do you suggest? (including sale, black friday etc.)

Is there a portable DB format like sqlite but stores data like Mongo.

Each record contains key value pairs.

I guess I could install Mongo again... But kinda want to play with the data first. Pulls from a web api

I guess other alternative is to just save the json responses to disk in separate folders and files for now...

And abstract the DB layer behind an interface

Job offer, searching for somebody with (amongst others):
- UI/UX
- React, Angular
- Go
- Azure, Kubernetes, Redis
- Mongo, MySQL
- gRPC

Why do they want to fill 3-4 positions with a single person? I'm afraid I'm only 2 of those people they're searching for.

I keep having these ideas of a steam like interface for transfering money and buying virtual items, but I can't for the life of me figure out how i would go about it other then a basic flask mongo db set up which would be ripe for malicious attacks

Mongodb CEO and the developer who build this shit for brains interface should be tarred and feathered. Almost 90minutes in and I cannot connect to anything other than error codes. What in the actual fuck is your job other than to make it difficult for a "free tier" user to connect?
"connect ECONNREFUSED 127.0.0.1:27017"

Oh ok another 20 minutes of work and you give me a bland beige error code like "```TLS/SSL is disabled. If possible, enable TLS/SSL to avoid security vulnerabilities.```"... um ok how do I enable it for your site, your database or on my computer... oh wait you don't say shit do you?

So now I'm fully 81 minutes into this shit show and all I get for error codes are these really descriptive gems 'getaddrinfo ENOTFOUND cluster0.hudbd.mongodb 'dot' net` comes up if I choose `mongo` with "connection string scheme" above it or `bad auth : Authentication failed'

Question for someone who uses Mongo Atlas Search:

If I'm only interested in autocomplete from the start of the text, which is more performant?

1) standard analyzer + edgeGram tokenizer

2) keyword analyzer + edgeGram tokenizer

I don't see why I should index separate words if I don't care about random positions :/

Thank you

I’ve been jumping on techs for a web application I wrote in Next.js and Mongo (mongoose) using Typescript.
The problem- I hate looking at codebase. Partly due to mongoose has a bug which makes type intelisense slow.
Moving forward, I’ve been creating different projects of the backend, in plain node typescript, in nest, in graphql but my inner self wasn’t satisfied.

Last night I deleted all the projects and decided not to change anything and continue working on the garbage code I’ve written a year ago.