Learn MongoDB

a resource for developers and anyone else using MongoDB. Maintained by @JustinJenkins

[Learn MongoDB @LearnMongo]

📍“Restaurants within 2 km” or “events inside this neighborhood” … do you want to know how to search like that with @MongoDB?📍

👉 https://t.co/ZU51BTwSIQ

In this post I show the data model, indexes that matter, and the 3 queries you'll reuse everywhere … plus a map example!

✅ Store GeoJSON Points [longitude, latitude]
✅ Add geospatial indexes
✅ Use $near for sorted nearest … $geoWithin for inside areas … $geoNear for distances

Check it out! And if you are in the radius, why not join me at MongoDB .local London this October the 7th?

Grab 60% off with code ChampionJustin60

[Learn MongoDB @LearnMongo]

❄️🐾 Tracks in the snow tell a story. 🐾❄️ You can see where something went, how direct the path was and where it hesitated. @MongoDB queries leave tracks too.

When a query feels slow, guessing won’t help … that’s exactly what .explain() is for!

👉 https://t.co/pe0EsgGmCA

Learn more in the post where we talk all about query plans and explain.

#MongoDB #Databases

[Learn MongoDB @LearnMongo]

🎉 Another New Year 🎉 ... Another Reset? If you follow a football ⚽️ (soccer) team that attempt at a reset might be on the pitch and your @MongoDB database. But the same mistakes ❌ keep happening?!

👉 https://t.co/Asct2tvvrd

Learn how small, fundamental fixes in MongoDB queries, data shape and indexing can yield real performance ⚡️ wins ... and can take you to the championship 🏆!

✅ No sacking of the manager required.

Also make sure to check out lots of other resources at the end of the article!

[Learn MongoDB @LearnMongo]

Register for @MongoDB .local London here and don't forget to use my code for 60% off!

ChampionJustin60

https://t.co/KRpGgDjP2B

[Learn MongoDB @LearnMongo]

📍“Restaurants within 2 km” or “events inside this neighborhood” … do you want to know how to search like that with @MongoDB?📍

👉 https://t.co/ZU51BTwSIQ

In this post I show the data model, indexes that matter, and the 3 queries you'll reuse everywhere … plus a map example!

✅ Store GeoJSON Points [longitude, latitude]
✅ Add geospatial indexes
✅ Use $near for sorted nearest … $geoWithin for inside areas … $geoNear for distances

Check it out! And if you are in the radius, why not join me at MongoDB .local London this October the 7th?

Grab 60% off with code ChampionJustin60

[Learn MongoDB @LearnMongo]

🔍 How much do you know about Text Search? 🔍 @MongoDB supports text search with relevance scoring ... built right in. 🦾

https://t.co/yABtMuq1Z0

✔️ Let users search by multiple fields at once
✔️ Sort results by relevance
✔️ No third-party tools needed

It's fast, simple, and ideal for small-to-mid sized apps (or even more features with Atlas Search!)

✨ See how it works: https://t.co/yABtMuq1Z0

[Learn MongoDB @LearnMongo]

🧹 Want your @MongoDB collection to clean itself up? 🧹

Use a TTL index! MongoDB can automatically delete documents after a set time! ⌛ Read more in this Quick Tips post!

https://t.co/QRC1qPVJAd

Perfect for things like session data, temp tokens, or logs. No cron jobs. No cleanup scripts. Just a clean database.

[Learn MongoDB @LearnMongo]

Change Streams!

https://t.co/6sBnULUpLo

“Applications can use change streams to subscribe to all data changes on a single collection, a database, or an entire deployment, and immediately react to them. Because change streams use the aggregation framework, applications can also filter for specific changes or transform the notifications at will.”

[Learn MongoDB @LearnMongo]

⚡️ New LearnMongo Post Series! ⚡️

We will explore 🥾 operators in the @MongoDB Aggregation Framework via a collection of recipes 🌮 and a fictional website we are building.

First up, learn how to use $min and $max to provide useful website features!

https://t.co/Lrw4nWNMGo

[Learn MongoDB @LearnMongo]

A great session from Asya Kamsky “De-mythologizing” Indexes in @MongoDB given in her signature style and wit! 🕵️‍♀️

#MongoDB #MongoDBLocal

[Learn MongoDB @LearnMongo]

Excited to be a @MongoDB Champion! 🏆– (@justinjenkins) 👇🏻👇🏻👇🏻

[MongoDB @MongoDB]

💚 Introducing the new cohort of MongoDB Community Champions!

Meet the 18 developers from around the world who will serve as the connective tissue between MongoDB and our large and active developer community.
https://t.co/OXlvE1PJmp

#LoveYourDevelopers

[MongoDB @MongoDB]

💚 Introducing the new cohort of MongoDB Community Champions!

Meet the 18 developers from around the world who will serve as the connective tissue between MongoDB and our large and active developer community.
https://t.co/OXlvE1PJmp

#LoveYourDevelopers

[Learn MongoDB @LearnMongo]

This is some exciting news for all you tinkerers & those looking to add better search capabilities or dabble into #vectorsearch, both full-text $search and Vector Search are coming to @MongoDB Community Edition!

https://t.co/OjHuCoHq98

[MongoDB @MongoDB]

We're thrilled to unveil these announcements empowering businesses to shape their AI journey with MongoDB.

Details in thread 🧵↓

[MongoDB @MongoDB]

We asked our Champions what being a part of our MongoDB Community means to them…

Check it out! 👇

[Learn MongoDB @LearnMongo]

Bringing out this oldie but goodie today … who is coming out for @MongoDB Developer Day in New York City before #MongoDB (dot) Local NYC tomorrow?

Happy to meet you there in person (or DM me) don’t be shy! Happy coding. 🤓

[MongoDB @MongoDB]

#MongoDBlocal is back in NYC!

Join us on May 2nd to discover what's new, dive into hands-on learning, and see how MongoDB is changing the game with data.

🗽Register: https://t.co/6b8iiv32u6

[Learn MongoDB @LearnMongo]

In this guide, we’ll walk you through the process of installing @MongoDB on @Docker, persisting database data files, connecting to #MongoDB, and even running MongoDB Server via #Docker Compose!

https://t.co/JTfg5iX0tb

[Learn MongoDB @LearnMongo]

Indexes are crucial for ⚡️ optimizing query performance ⚡️but they can also be costly 💸 to create. So, what if you’re uncertain 🤔 about removing one?

https://t.co/HBdXr70s7S

@MongoDB offers a nifty solution: hiding 🙈 indexes. #MongoDB