Posts Tagged ‘mongodb’

MongoDB advantages and disadvantages

January 27th, 2013 No comments

MongoDB is one of the greatest SQL free database, in the market. There have been different variations and introduction in java and programming but this is one of the best developments in the market. Most of the programmers find it easier to adjust to it since the infrastructure accommodates working abilities with other modes in the market. It enables high scalability, performance, and an open source of document database.

With all the monitoring tools, you will find that it becomes easier to let the program run, and all the servers have the ability to adjust and make necessary updates once issued the commands. All the monitoring and command tools have the effective functioning handles making it easier to control and this means that you do not need to employ people to keep on upgrading or monitoring the system due to the presence of tools that can perfectly handle these functions.

Due to the c ++ language, it becomes easier to deal with emergency issues due to the various database applications but this responds instantly to emergency ,making the system to run on smoothly. With the backup database, you only need to add and remove details on the serve based on your need. It is advisable for one to settle with most of the backup devices but the MongoDB makes it applicable to run multiple servers, and monitor, update them at the same time.

The sharding aspect makes it possible to update servers even when you do not have space by duplicating the space and has different memory storage areas. This enables accommodation of data up to double the current amount you have. This is good for the systems that have various online clients like online gaming and big companies that have loads of data that the clients have to visit online. This makes it easier to hold information and disseminate upon request.

There is the use of multiple document transactions since the program is document oriented and become easier to share. This means that one document used by numerous of people at the same time with no delays.

The program is horizontally scalable meaning it has schema-less databases. This is one of the important aspects in the programs and when compared to the other versions, you find that this is due to effectiveness and ability to use joins for queries.

When you have installed the MongoDB, you have higher chances of securing your data due to the duplication of content, which makes it easier to store in RAM, cloud technology amongst other areas, which enhance the accessibility, and easy to adjust the changes.

However, the MongoDB programming does not offer all the solutions that users want and one of them is higher chances of losing data when you are adapting the content, and hard to retrieve it. This is the reason why you need to be sure of the clients you want to update or database duplication failure to which you have higher chances of never getting back the data. Most of the trained personnel using this system prefer using the replica methods in order to have backup content when doing any form of adjustments to the system.

Categories: MongoDB Tags:

Top 50 MongoDB PDF Tutorials

January 6th, 2013 No comments

It is not easy to get the correct and applicable tutorials and it is important to know all the details of the programs in order to settle with the correct details. Most of the PDF tutorials make it easier to get all the correct details and it leads you to settle with the ideal information. The tutorial needs to cover everything from the introduction, operations, and other details that you need to know about operating the MongoDB system.

Connect to a Database

  • Connect to a mongod
  • Select a Database
  • Display mongo Help

Create a Collection and Insert Documents

  • Insert Individual Documents
  • Insert Multiple Documents Using a For Loop

Working with the Cursor

  • Iterate over the Cursor with a Loop
  • Use Array Operations with the Cursor
  • Query for Specific Documents
  • Return a Single Document from a Collection
  • Limit the Number of Documents in the Result Set

Next Steps with MongoDB

For additional details about the manipulation of docs, you need to proceed in the learning process of MongoDB using

  • CRUD Operations
  • SQL to MongoDB Mapping Chart
  • Drivers

The complete MongogDB tutorial

This gives a comprehensive introduction installation and ways that enables the learn to set up the MongoDB program

  • Installing MongoDB
  • The MongoDB Tutorial
  • Frequently Asked Questions
  • Release Notes


A Quick Tour

  • Making A Connection
  • Authentication (Optional)
  • Getting A List Of Collections
  • Getting A Collection
  • Setting write concern
  • Inserting a Document

Finding the First Document In A Collection using findOne()

  • Adding Multiple Documents
  • Counting Documents in A Collection
  • Using a Cursor to Get All the Documents

Getting A Single Document with A Query

  • Getting A Set of Documents With a Query
  • Creating An Index

Getting a List of Indexes on a Collection

Quick Tour of the Administrative Functions

  • Getting A List of Databases
  • Dropping A Database

Getting started

Using the tutorials that will enable you to understand more about the introduction and operations of MongoDB programs and database-



Developer Documentation

Administrative Documentation

  • Journaling
  • Production Notes
  • Starting and Stopping MongoDB

DB Operations from the Shell

  • Windows
  • Troubleshooting


  • 10gen
  • Meetup Events
  • MongoDB Masters
  • Slides and Video
  • Hosting Center

MongoDB Monitoring Service (docs)

  • Administrative Interfaces
  • International Documentation
  • MongoDB Books


MongoDB PDF Wiki tutorial


This manual offers some tips and solutions, which makes it easier for one to start understanding the process in the command sections, installations, and setting up. This does not happen when you use other tutorials since they are complex and the wiki offers affordable tutoring.

Getting Started

  • Introduction
  • Downloads

Developer Documentation

  • Administrative Documentation
  • Journaling
  • Production Notes
  • Starting and Stopping MongoDB

DB Operations from the Shell

  • Windows
  • Troubleshooting


  • 10gen
  • Meetup Events
  • MongoDB Masters
  • Slides and Video
  • Hosting Center

MongoDB Monitoring Service (docs)

  • Administrative Interfaces
  • International Documentation
  • MongoDB Books

There are numerous details to keep in mind before you subscribe to most of the tutorials. It is advisable to check the source and rely in the ones that give the clear paths and indications that will offer you nothing but the main solutions. This is the reason why you need to rely on MongogDB solutions to get the latest details and updates on this program.

Categories: MongoDB Tags: ,

Top 50 MongoDB Video Tutorials

January 4th, 2013 No comments

When you want to know more about the performance and enhancement of the program, it is wise when you settle with the video tutorials, and they will show you all the steps and the descriptions that you need to know about the performance. With this, you have more chances of understanding the basic details that will lead you to understand this program and start to adhere to the processes presented.

The complete MongoDB video installation program

This video enables you to grasp all details in matters of presentation of the program and all the basic subjects you will learn in the different stages. The methods are self-explanatory when you view the video and understand.

 MongoDB installation and theory (06:45)…/getting-started-with-mongodb-and-php-on


NoSQL, document-oriented database, collection, MongoDB installation, connection do database

    MongoDB introduction (09:30)


MongoDB shell, mongod, use database, inserting data, selecting data, save, insert, find, query selector, updating data, update, deleting data, remove, drop, operators: set, unset

Advanced MongoDB (21:05)


creating complex documents, joining documents, cursor variable, documents iterating, operators: push, addToSet, each, pop, rename, limit, it, hasNext, printJSON, skip, sort, lt, lte, gt, gte, in, nin, all, distinct, count, boolean operators: ne, not, or, and, exists

    MongoDB performance and administration (09:25)

Database performance, indexing, index, explain, properties: nscanned, nscannedObjects, nYields, nChunkSkips, isMultiKey, indexOnly; getIndexes, uniqueIndex, mongodump, mongorestore, mongoexport, mongoimport, mongosniff, mongostat, show dbs, show collections, system.indexes, db.stats

    MongoDB and PHP (06:30)

PHP driver installation, php_mongo.dll, php.ini modificaations, writing and running example PHP script

Best video presentations and descriptions of MongoDB



  • Analytics MongoDB Analytics for Online Advertising at Magnetic
  • DevOps Data Center Awareness with MongoDB
  • DevOps Deployment Best Practices
  • DevOps Diagnostics and Performance Tuning
  • DevOps Keeping your data safe: replication, backup/restore, mongodump
  • DevOps MongoDB and Amazon Web Services
  • DevOps MongoDB on Amazon EC2
  • DevOps Scaling with MongoDB
  • DevOps Tips for a Successful, Scalable MongoDB Deployment
  • Geo Geospatial Indexing with MongoDB
  • Hadoop Hadoop plugin for MongoDB: The Elephant in the Room
  • Indexing Indexing Matters: A MongoDB Optimization Primer
  • Indexing Indexing With MongoDB
  • Intro Developing Applications with MongoDB: A Quickstart Tutorial
  • Intro Introduction to MongoDB
  • Java What’s New in Java Driver Version 2.5
  • Java Zero to MongoDB – Introduction for MongoDB with Java
  • Journaling Journaling in MongoDB version 1.8
  • Node.js Node.js and MongoDB, a Panel Discussion
  • Ruby MongoDB and Ruby
  • Scala MongoDB and Scala
  • Schema Schema Design with MongoDB
  • Use Cases How MongoDB helps Visibiz tackle social CRM
  • Use Cases Humongous Data at Server Density: Approaching 1 Billion Documents in MongoDB
  • Hybrid Applications with MongoDB and RDBMS
  • v1.8 What’s new in MongoDB v1.8.0
  • v2.0 What You Need to Know About MongoDB 2.0


Image of video screenshot of MongoDB shell version

The following tutorials offer the video formats of understanding the obtaining MongoDB features and processes.


  • OS X 32-bit
  • OS X 64-bit
  • Linux 32-bit
  • Linux 64-bit
  • Windows 32-bit
  • Windows 64-bit
  • Solaris i86pc
  • Solaris 64

The latest Course Introduction to MongoDB (course outline)


  • Introduction to MongoDB
  • Overview and working with documents
  • Datatypes
  • Schema Design
  • CRUD Operations
  • Operators
  • Indexes
  • Aggregation
  • Map and Reduce
  • PHP, Java and Python Drivers
  • C# Drivers
  • Replication
  • Replication Sets
  • Sharding
  • GridFS
  • Import and Export Data
  • Backup and Restore
  • Monitoring
Categories: MongoDB Tags: ,

MongoDB Sharding, how to do sharding

December 21st, 2012 No comments

MongoDB Sharding systems give users the platform to partition an entire collection in a simple database form and distribute it to documents in the MongoDB instances or in simpler terms shards. This enables the writing capacity to increase and provides the ability to support the volumes of working set. This raises the limits of data size much higher beyond physical resources in a single node.

Features of sharding

Range-based data partitioning

MongoDB describes data in shards, according to the value of the shard key. Each represents a single block of documents that lie in a specific range. When the volume grows bigger, the MongoDB splits the shards into other smaller chinks known as splitting

Automatic data volume distribution

The system balances data automatically in all areas in the cluster and prevents intervention in the application layer. It does not need any additional features in modification or any developmental interventions.

Transparent Query routing

Transparency in sharding is because of connections in the cluster, which go through the MongoDB, and only requires basic configuration for the application to run smoothly.

A sharded cluster comprises of replica sets, which hold data, lightweight routing process and three configurations sever to store the data.

The process

This is the process of creating multiple shreds in order to facilitate storage of large data volumes. It is easy to multiply and backup data in several servers for easy retrieval and use.

  1. Start up the new machine in the process
  2. Install the MongoDB program, and start a new process which acts as the shard cluster for the storage of data
  3. Create another new process and this acts as the configuration which maintains and verifies the information given
  4. Start the process of sharding as directed by the program, and use mongo to find the current db,
  5. Enter the commands that enable sharding of collections and database you have.
  6. Modify all the applications to activate the MongoDB Sharding process and update the system.
  7. The configuration process is automatic and done through the IP

When to apply sharding

You do not need to apply sharding all the time and is usually applicable when you have a number numerous volumes of data. This a significant infrastructure development but you have the chance to deploy the operation when

–          Your data set exceed the limited capacity of your single node system

–          When you have volumes of writing activity in a single MongoDB and the process is slowing down and unable to meet your demands.

–          The current working set will not fit into your RAM system and you do not want to stop the process

When installing the MongoDB Sharding, you need to make sure that you follow the correct processes especially in configuration since this can delete all information in the indexes and servers when you do not use the correct handles. This is the reason why you need to customize your MongoDB and have numerous servers that will store extra memory details to prevent massive data loss. This process makes it easy to deal with massive production and you do not need to stop the working set in order to increase your memory space.


Categories: MongoDB Tags: , ,

Why use MongoDB Architecture for your business

December 18th, 2012 No comments

Most of the companies and individual businesses find it harder to retrieve documents, blog posts or past search results to present to their clients, online or when they need to revisit past issues. With the latest installation of MongoDB Architecture, they have higher chances of benefiting from archiving, which enable proper dissemination and storage of data in unique filling system in the database. This makes the database to grow and still have the same old ways of making the correct and easy retrieval.

A business needs to have several channels of storing the data and the indexing option makes it easier for processing queries in the database and saves all search results, connects with other programs in channeling the information and has backup databases to assist when the system is busy. This is common with most of the database applications but the MongoDB Architecture offers faster archiving dissemination and presentable in different forms.

When dealing with content management, and deployment in hierarchical order in terms of storage, and retrieval searches. This makes it easier for website and blog management of data and present in several forms based on the options the user intends to choose. The reads are scaled easily in the database management forms and support other infrastructure options like MySQL and ProstgtreSQL.

The MongoDB Architecture extensively been used in online gaming by supporting small reads and constant replica set functionality. MongoDB Architecture has the auto-sharing option and backup solutions, which stores it in the RAM and other memory devices that one can choose when dealing with online gaming businesses. This software has the ability to deal with numerous workloads with many gaming companies choosing this option to serve various clients from all over the globe. It is easy to use even with other applications and manages the RDBMS infrastructure.

Benefits a business gets when they use MongoDB Architecture include auto-sharding, fast lightening can perform multiple indexes with a single command and perform rich queries. However, the indexes take up a lot of RAM storage and this becomes complex for those who want to store numerous data. The problem with the updating method and you can lose all the data when you do not follow all the correct procedures. This is the reason why you need to have a backup storage service instead of storing all your details in one server.

According to most clients’ the MongoDB Architecture offers a solid platform for indexing, archiving and uses numerous tools for the deployment and creating the right form of database that enables them to store large capacities and support other readable formats stored in the system. It is easier to share the information, provide the online users the chances to settle with the information they need through the archiving system and the presence of backup keeps the business safe and prevents data loss. However, this system is complex and one needs to keep testing it and ensure they have the customized version in order to use it for their preferred platform and center it to the basic operations and infrastructure you need.

Categories: MongoDB Tags: , ,