Day16 as #100DaysofMongoDB as #100daysofcode
Starting off after a long break from all the relocation to a completely new place. Settling up everything by yourself is always a challenge but the most interesting part of adulting.
From buying the furniture to keeping everything in place for the entire day and not making a mess around is always a challenge. Growing up with the adulting everyday and hence has become a part of my learning now.
Meanwhile I have been working about a stand alone Spring boot application with MongoDB as a database layer in a Kubernetes Environment.
Stuck at some issues here, while I try to resolve this, I started learning about Atlas Search and various aspects it provides us with.
Starting with a new 10 days of MongoDB product provided my MongoDB: Atlas Search
MongoDB Atlas search available on MongoDB 4.2+ versions, provides you with the functionality for indexing and querying the data in the Atlas Cluster.
It uses a mongot process with Apache Lucene along with mongod process running different atlas servers.
The following documentation here will help you load a sample data and introduce you towards the Atlas Search feature provided my MongoDB.
You can perform several queries by loading the sample data and perform various queries over the same data.
There are few insights which are restricted in M0, M2 and M5 clusters:
- Only 50 pipeline stages are allowed on a free tier.
- With the new version of MongoDB 5.0,
allowDiskUseis not allowed in M0, M2 or M5. - You cannot modify an M0 free cluster using the Clusters API.
- They o not provide automatically scaling storage.
You can read more about the restrictions from Atlas M0 (Free Cluster), M2, and M5 Limitations
Feel free is to add questions and suggestions related to Atlas Search.
Thanks
Aasawari
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