- MongoDB Version
- Execution of a JavaScript file in MongoDB
- Complementary Terms
- Installation
- Basic commands on mongo shell
- Hello World
- Update
- Delete
- Read
- Update of embedded documents
- More update operators
- multi Parameter while updating multiple documents
- CRUD Operation Section Create
- Getting database information
- Find
- FindOne
- limit skip sort and count the results of the find method
- Query Document - Using AND OR and IN Conditions
- find method with Projection
- Find method with Projection
- Update Operators
- Upserts and Inserts
- Create a Collection
- Drop Collection
- Aggregation
- Count
- Sum
- Average
- Operations with arrays
- Aggregate query examples useful for work and learning
- Match
- Get sample data
- Remove docs that have a duplicate field in a collection dedupe
- Left Outer Join with aggregation Lookup
- Server Aggregation
- Aggregation in a Server Method
- Java and Spring example
- Index Creation Basics
- Dropping Deleting an Index
- Sparse indexes and Partial indexes
- Get Indices of a Collection
- Compound
- Single field-Delete
- Converting a field to another type and updating the entire collection in Bulk
- Create a 2dsphere Index
- Pluggable Storage Engines-WiredTiger
- Create a database user
- Fetch Collection data with condition
- Create a tailable cursor
- Python Driver
- Connect to MongoDB using pymongo
- PyMongo queries
- Update all documents in a collection using PyMongo
- Sharding Environment Setup
- Basic configuration with three nodes
- Mongodb as a Replica Set
- Check MongoDB Replica Set states
- MongoDB - Configure a ReplicaSet to support TLS SSL
- How to configure a ReplicaSet to support TLS SSL
- How to connect your Client Mongo Shell to a ReplicaSet
- Authentication Mechanisms in MongoDB
- MongoDB Authorization Model
- Configuration
- Backing up and Restoring Data
- mongoimport with JSON
- mongoimport with CSV
- Upgrading MongoDB version
Mongodb Lesson
See the "resultSet" value in JSON format to understand the output format:
The "resultSet" contains one entry for each group, "ageSet" contains the list of age of each employee of that group, "_id" contains the value of the field that is being used for grouping and "docs" contains data of each employee of that group that can be used in our own code and UI.
Anil Bist
Skills Mongodb
Qualifications :- High School - SLV, College/University - Graphic Era Deemed Univ University,Location :-Dehradun,Dehradun,Uttarakhand,India
Description:-
I started my Professional Journey in 2006 with one of the Web Development Company in Bangalore and my 1st framework was "Ruby on Rail" as Web development and delivered around 5+ Projects using this platform. Then came another dimension as JEE/Sturst framework, Gradually I realized that I want to build something on my own and give my passion and energy on creating something different a
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