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Introduction to MongoDB

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What is MongoDB?

• MongoDB is a NoSQL store - NoSQL revolution happened to solve the many issues faced with storing web-scale data in relational databases

• It doesn't use SQL to store and retrieve data

• Widely adopted in web applications these days

• No clear winner and therefore difficult to choose among alternatives

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Key Features - MongoDB

• The document data model

• Ad-hoc queries

• Secondary indexes

• Replication

• Speed & Durability

• Scaling

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MongoDB Concepts Database • A single MongoDB server can have many databases

Collections • Collections are a group of Documents (sort of like RDBMS tables)

Documents • A record in a MongoDB collection with a maximum size of 16MB

Fields • One name-value pair in a document & is analogous to columns in a relational

database

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MongoDB – Hands-On

Use-Cases

• Blog posts and Comments

• E-commerce data – Products and categories

– Users and their orders

– Reviews of products

• LinkedIn Profile Analysis – A person and his/her education and experience

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Hands-On – CUD of CRUD

• LinkedIn case study – JSON document for Profile

• C of CRUD – Insert documents

– Get, Change, Save

• U of CRUD – Update a document

– Update multiple documents

• D of CRUD – Remove

– Drop

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Hands-On – R of CRUD

• Find documents – Find all documents - find

– Find a single document - findOne

– Specify a condition

– Specify multiple conditions

– Specifying conditions on sub-documents

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Indexing

• Understanding the need for indexing

• The explain

• Creating an index

• Creating an index with a unique field

• Indexes with multiple fields (compound indexes)

• Hashed Indexes

• Sparsed Indexes

• Removing an index

• Displaying all indexes

• Indexes that support covered queries

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Replication

Why Replication?

• Redundancy

• Fail-over

• Maintenance

• Load Balancing

Replication Setups

• Master/Slave Replication

• Replica Set Setup

• Arbiter

• Finding status via rs.status() on Primary

• Fail-over

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Replication – Oplogs and Heartbeat

• Oplog

– Capped Collections that is present in a database called local on every replicating node

– Location: Database: local, Collection: oplog.rs

– Changing the oplog size (via mongod config)

• Heartbeat

– A 2-second ping with other members that helps the replica set determine if a node has gone down

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Authentication

• Adding the admin user

• Adding individual users

• Starting the server with auth enabled

• Using authentication

• Replica sets and authentication

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Sharding

• Idea of sharding

• How is sharding different from replication?

• The different servers involved – Shards

– Routers

– Config Servers

• Sharding without replication

• Sharding with replication

• Sharding with security enabled

• Bad shard keys

• Choosing ideal shard keys

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Backup, Repair, Import, Export

• Backing up the data directory

• Issue with backing up the data directory

• Using fsync and lock

• mongodump

• mongorestore

• Bsondump

• mongoimport

• mongoexport

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Monitoring

Admin UI

• Getting database information via the UI

• HTTP REST based interface

Monitoring

• serverStatus

• dbStats

• collStats

• mongostat

• mongotop

• mongosniff

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Leftovers

• Production Checklist

• Write concern in replica sets

• Full Text Search

• Map/Reduce

• GridFS

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Become a MongoDB Expert In 3 Days Flat

Attend the 3-Days “MongoDB Administration Workshop”

View Complete Details

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Who will benefit?

Application Developers who are currently evaluating the use of MongoDB in

their projects

View Complete Details

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For further info/assistance contact

training@springpeople.com +91 80 65679700

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