mongodb crud operations with detailed.ppt

INTRODUCTION TO MONGODB
BY : MRS SANGEETA M CHAUHAN
PGT COMPUTER SCIENCE
KV NO.3 MORAR CANTT GWALIOR

1.Introduction MongoDB
2.To know about terminologies used in MongoDB
3.To Know about basic commands of Mongo DB
4.To Relate MongoDB with SQL Queries

PREREQUISITE
1.Database and its
Structure
2.Concept of Queries
3.Schema

MongoDB is an open source database that uses a document-
oriented data model.
MongoDB is one of several database types to arise in the
mid-2000s under the NoSQLbanner. Instead of using tables
and rows as in relational databases, MongoDB is built on an
architecture of collections and documents.
INTRODUCTION

Documents comprise sets of key-value pairs
and are the basic unit of data in MongoDB.
Collections contain sets of documents and
function as the equivalent of relational
database tables.
CONTINUED….

ABOUT MongoDB
• Developed by 10gen
• Founded in 2007
•Written in C++

FEATURES OF MongoDB ...
FREE
1
2
3

22
RDBMS MongoDB
Database Database
Table, View Collection
Row Document (BSON)
Column Field
Index Index
Join Embedded Document
Foreign Key Reference
Partition Shard
Collection is
not strict
about what it
Stores
Schema-less
Hierarchy is
evident in the
design
Embe
dded
Docum
ent ?
vs

DOCUMENT
A document in MongoDB is like a JSON.
Example:
{'name': 'Christiano',
'language': 'Python',
'country': 'Brazil'}
MongoDB is a document-oriented database. Instead of storing your
data in tables made out of individual rows, like a relational database
does, it stores your data in collections made out of
individual documents.
In MongoDB, a document is a big JSON blob with no particular format
or schema.N

YOU CAN DYNAMICALLY
UPDATE YOUR DATA
, example:
'country': 'Brazil'}
'country': 'Brazil',
'event': 'PyConAr'}

In MongoDB, databases hold collections
of documents.
use <db> statement,
use myDB
Databases

CREATION OF DATABASE
 If a database does not exist, MongoDB creates the
database when you first store data for that database.

• MongoDB does not need any pre-defined data schema
• Every document in a collection could have different data
• Addresses NULL data fields
SCHEMA FREE
name: “jeff”,
eyes: “blue”, loc:
[40.7, 73.4],
boss: “ben”}
{name: “brendan”,
aliases: [“el diablo”]}
name: “ben”,
hat: ”yes”}
{name: “matt”,
pizza: “DiGiorno”,
height: 72,
loc: [44.6, 71.3]}
{name:
“will”,
eyes:
“blue”,
birthplace:
“NY”,
aliases:
[“bill”, “la
ciacco”],
loc: [32.7,
63.4],
boss:
”ben”}

• Data is in name / value pairs
• A name/value pair consists of a field name
followed by a colon, followed by a value:
• Example: “name”: “R2-D2”
• Data is separated by commas
• Example: “name”: “R2-D2”, race : “Droid”
• Curly braces hold objects
• Example: {“name”: “R2-D2”, race : “Droid”, affiliation:
“rebels”}
• An array is stored in brackets []
• Example [ {“name”: “R2-D2”, race : “Droid”,
affiliation: “rebels”},
• {“name”: “Yoda”, affiliation: “rebels”} ]
JSON FORMAT

INSERTION OF DOCUMENTS
db.inventory.insertOne
({ item: "canvas", qty: 100,tags: ["cotton"], size:
{h: 28, w: 35.5, unit: "cm" } } )
Inserting Single Documents

EXAMPLE : INSERT MULTIPLE DOCUMENTS
db.inventory.insertMany
([{ item: “Freeze“,qty: 25, tags: ["blank", "red"],size:{ h: 14, w: 21, unit: "cm" }},
{ item: “TV“,qty: 85, tags: ["gray"],size:{ h: 27.9, w: 35.5, unit : "cm" } },
{ item: “AC“,qty:25,tags: [“white”], "blue"],size:{ h: 19, w: 22.85, unit:"cm" } }
])
Inserting Multiple Documents
db.collection.insertMany():
can insert multiple documents into a collection.
Pass an array of documents to the method.

Query Operators
Name Description
$eq Matches value that are equal to a specified value
$gt, $gte Matches values that are greater than (or equal to a specified value
$lt, $lte Matches values less than or ( equal to ) a specified value
$ne Matches values that are not equal to a specified value
$in Matches any of the values specified in an array
$nin Matches none of the values specified in an array
$or Joins query clauses with a logical OR returns all
$and Join query clauses with a loginal AND
$not Inverts the effect of a query expression
$nor Join query clauses with a logical NOR
$exists Matches documents that have a specified field

 MongoDB sample Commands:

 Ques. Show all databases:
 show dbs

Ques. Create a Database Named ‘workshop’:
 use workshop

 Ques. Creating a collection/table named ‘student’ in ‘workshop’ database:
 db.createCollection(“student”)

 Ques. Inserting a document/record in ‘student’:
 db.student.insertOne({RollNo:1, Name:"Aashna", Marks:80})

 Ques. Inserting multiple documents/records in ‘student’:
 db.student.insertMany( [{RollNo:2, Name:"Abhinav", Marks:70},
 {RollNo:3, Name:"Ayesha", Marks:85},
 {RollNo:4, Name:"Mohit", Marks:72} ] )

 Ques. Display all records/documents from ‘student’:
 db.student.find()

 Ques. Display details of students having Marks more than 80:
 db.student.find( { Marks : { $gt : 80} } )

mongodb crud operations with detailed.ppt

Lets Relate the
MongoDB Queries
with SQL

db.users.insert({a:1,b:2})
 Insert into Users Values(1,2)

db.users.find( )
 Select * from users;

db.users.find({age:33})
 Select * from users where age=33

 db.users.find({‘name’:‘Manasvi’,Age:12})
 Select * From Users where name=‘Manasvi’ and
Age=12;

db.users.find({‘a:{$gt:22}})
 Select * from users where a>22;

db.users.sort({name:-1})
 Select * from users order by name desc;

WHAT IS JSON?
JSON is acronym of Java Object
Notation which is a format for
structuring data to transmit data
between server and web application

Q1. Write a query in MongoDB to Search records of Clerk Employee
Q2. Write a query in MongoDB to print records of all Students
Q3. What do you mean by Schema?

mongodb crud operations with detailed.ppt

More Related Content

Similar to mongodb crud operations with detailed.ppt (20)

Recently uploaded (20)

mongodb crud operations with detailed.ppt