This document provides an overview of MongoDB, including what it is, its purpose and history. It compares MongoDB to MySQL and describes some of the key differences in their data structures and querying capabilities. It also provides instructions on installing and using MongoDB, with examples of creating databases and collections, inserting documents, and performing queries.

1. MongoDB
Basics
Kazi Ataul Bari

2. What is MongoDB
MongoDB is an open-source document database
Purpose to build MongoDB
Scalability
Performance
High Availability
History of MongoDB
MongoDB began in 2007 Thanks: http://www.javatpoint.com

3. Terminology and Concepts
MySQL MongoDB
1. MongoDB is an open-source database developed by
MongoDB, Inc.
2. MongoDB stores data in JSON-like documents that
can vary in structure.
3. MongoDB uses dynamic schemas, meaning that
you can create records without first defining the
structure, such as the fields or the types of their
values.
1. MySQL is a popular open-source relational database
management system (RDBMS).
2. MySQL stores data in tables and uses structured
query language (SQL) for database access.
3. In MySQL, related information may be stored in
separate tables, but associated through the use of
joins.
Sources: https://www.mongodb.com/compare/mongodb-mysql

4. Compare
MySQL MongoDB
Sources: https://www.mongodb.com/compare/mongodb-mysql
Table Collection
Row Document
Column Field
Joins Embedded documents, linking

5. Are MongoDB and MySQL used together?
Many e-commerce applications use a combination of MongoDB and MySQL.
The product catalog, which includes multiple products with different attributes, is a good fit for MongoDB’s
flexible data model.
On the other hand, the checkout system, which requires complex transactions, would likely be built on
MySQL or another relational technology.

6. How to install MongoDB on Windows

7. MongoDB folder

8. Sources: https://www.mongodb.com/compare/mongodb-mysql

9. Create a Database
There is no create database command in MongoDB. Actually, MongoDB do not
provide any command to create database.
use myNewDB
db.myNewCollection1.insert( { x: 1 } )

10. check the database
check the database Name
>db
check the database list
>show dbs

11. Document Database
A record in MongoDB is a document, which is a data structure composed of field and value pairs.
MongoDB documents are similar to JSON(JavaScript Object Notation) objects.
Sources: https://www.mongodb.com/compare/mongodb-mysql

12. Databases and Collections
MongoDB stores in collections; the collections in databases. Collections are analogous to tables in
relational databases.
Sources: https://www.mongodb.com/compare/mongodb-mysql00

13. create collection
>db.createCollection("IGU")
check the created collection
>show collections

14. create collection automatically
>db.IGU2020.insert({"name" : "MSIT"})
>show collections

15. insert()
db.users.insert({name: "sue", age: 25, status: "A"})
https://docs.mongodb.com/v3.2/crud/

16. Create an array of documents
var AllcoursesIGU =
[
{ "city" : "AGAWAM", "loc" : [ -72.622739, 42.070206 ], "pop" : 15338, "state" :
"MA", "_id" : "01001" },
{ "city" : "CUSHMAN", "loc" : [ -72.51564999999999, 42.377017 ], "pop" : 36963,
"state" : "MA", "_id" : "01002" },
{ "city" : "BARRE", "loc" : [ -72.10835400000001, 42.409698 ], "pop" : 4546,
"state" : "MA", "_id" : "01005" },
{ "city" : "BELCHERTOWN", "loc" : [ -72.41095300000001, 42.275103 ], "pop" :

17. Inserts the documents
> db.igu.insert( AllcoursesIGU );
> db.igu.find()

18. Read Operations: find()
>db.users.find()

19. Comparison Query Operators
$eq Matches values that are equal to a specified value.
$gt Matches values that are greater than a specified value.
$gte Matches values that are greater than or equal to a specified value.
$lt Matches values that are less than a specified value.
$lte Matches values that are less than or equal to a specified value.
$ne Matches all values that are not equal to a specified value.

20. Comparison Query Operators
db.igu.find( { state: { $eq: "MA" } } )