This document provides an overview of MongoDB concepts and how to perform CRUD operations. It discusses how to install and set up MongoDB, create collections and schemas to store data, perform basic CRUD operations like insert, find, update, and delete records, and how to drop collections. MongoDB is an open-source, document-based database that provides high performance, high availability, and easy scalability. It uses JSON-like documents with dynamic schemas and supports distributed storage and processing of large amounts of data.

1. for Beginners

2. ABSTRACT
 This PPT will explain about the MONGODB concepts and using that can
achieve the CURD Operation.

3. What is MongoDB
 It is a Open source cross platform document oriented with the scalability
and flexible database.
 MongoDB is a distributed database at its core, so high availability,
horizontal scaling, and geographic distribution are built in and easy to use.
 Its Classified as NOSQL database program.
 There is no RDBMS Concept here and data’s are stored in a flat file system.
 MongoDB uses JSON-like documents with SCHEMA for creating a new
Table in the DB.

4. Key Features:
 High Performance:
 Support for embedded data models reduces I/O activity on database system.
 Indexes support faster queries and can include keys from embedded documents and
arrays.
 Rich Query Language.
 High Availability: Automatic failover and data redundancy.
 Horizontal Scalability :
 Sharding distributes data across a cluster of machines.
 MongoDB 3.4 supports creating zones of data based on the shard key. In a balanced
cluster, MongoDB directs reads and writes covered by a zone only to those shards inside
the zone. See the Zones manual page for more information.

5.  Support for Multiple Storage Engines:
 WiredTiger Storage Engine
 MMAPV1 Storage Engine
 Creating dummy Collection
Example :
export var dummytable= new Mongo.Collection(null);

6. Where we use the MongoDB
 You need High Availability in an Unreliable Environment (Cloud and Real
Life)
 You need to Grow Big (and Shard Your Data)
 Your Data is Location Based
 Your Data Set is Going to be Big (starting from 1GB) and Schema is Not
Stable
 You Don't have a DBA

7. Comparison Between MYSQL and
MONGODB

8. List Of Companies Using MongoDB

9. Installation Steps for MongoDB
 It will support all Operating System. The below links will used for install the
mongoDB
https://docs.mongodb.com/manual/installation/
https://www.mongodb.com/

10. CREATE A NEW TABLE
 We have a create a new table in MongoDB using Schema.
 In that Schema it self we can add fields and there properties of the table.
 Sample Schema for create a new table in Mongo DB. File name eg :
SampleDB.js

11. var sampletable= new SimpleSchema({
id: {
type: Number,
label: "ID",
optional: true //It mean the field is Mandatory
},
name: {
type: String,
label: "Name",
optional: true
},
bloodgroup: {
type: String,
label: "BloodGroup",
},
phonenumber: {
type: Number,
label: "Phone Number",
optional: true
},
Date: {
type: Date,
label: "Phone Number",
optional: true
},
});
export const Test = new Mongo.Collection('test');
Test.attachSchema(sampletable);

12. STORE THE VALUE
 We can store the Value in MongoDB , using INSERT command.
 If we pass a array we can store in to Database.
 The below example contains both array and list the fields are passing to
store the value in Database.
Example : Array value is storing in DB

13. test.insert({
id: 12345,
name: ’Kesavan’,
bloodgroup:’o+ve’,
phonenumber:’9942591686’,
date:’20180707’
});

14. QUERY THE RECORD
 To read or query the record in the MongoDB , here its named as finding the record .
 We have to use find(), fetch(), count() and findAll() methods for search the value in
the table.
 find() : It will find the particular record for that we have to pass the _id unique
address of the record.
 fetch() : It will fetch the value for a particular record that we have to pass the _id
unique address of the record.
 count() : It will query the records based on the counts.
 Syntax:
find() and fetch()
db.collection_name.find({ObjectId(12 digit hashcode)}).fetch();
find() and count()
db.collection_name.find({ObjectId(12 digit hashcode)}).count();

15. Example:
db.test.find({ObjectId(7df78ad8902c)}).fetch()
db.test.find({ObjectId(7df78ad8902c)}).count()
findAll(): we will get all the records in the collection.
Syntax:
db.collection_name.findAll({ });
Example:
db.test.findAll({ }) ;

16. UPDATE THE VALUE
 For Update the existing record in the MongoDB , we have to use UPDATE
command .
 We can able to update group of record as well as particular record.
 Syntax:
db.collection_name.update({ _id:’value’,fieldname:fieldvalue });
 Example:
test.update({ _id: 7df78ad8902c,phonenumber:’+91-8825719818’})

17. REMOVE (or)DELETE THE RECORD
 To delete the records in the collection will use REMOVE and DELETE command.
REMOVE:
 It will remove single or multiple the records in the collection the details as below.
 SYNTAX:
db.collection_name.remove({_id});
 To remove the multiple records in the collection use the below logic.
Logic:
var noofrecord= db.collection_name.find().count();
for (i=0;i< noofrecord;i++){
var idval= i._id
db.collection_name.remove({idval});
}

18. DELETE:
It will delete single or multiple record in the collection the details as mentioned the below.
SYNTAX:
 Delete a single record in the collection.
db.collection_name.deleteOne({_id:ObjectId(“12 digit hash”)});
Example:
db.test.deleteOne({_id:ObjectId(“838383837312”)});
 Delete multiple records in the collection.
db.collection_name.deleteMany({fieldname:fieldvalue)});
Example:
db.test.deleteMany({bloodgroup:’0+ve’)});

19. DROP THE TABLE
 Using the drop() predefined method will able to delete the entire
collection.
 The below example is explaining about the delete the collection.
 Example:
test.drop()

20. REFERENCE
 https://www.mongodb.com/
 https://www.meteor.com/tutorials/blaze/collections
 http://meteortips.com/first-meteor-tutorial/databases-part-1/
Note: Based on the mongoDB version lot of methods and functions are
released to get all the updates refer the above links.