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- DOWNLOAD MONGODB FOR MAC INSTALL
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After the Mongo install we’ll need to configure a local server with WAMP for Windows or MAMP on OS X.3 I’ll be using the latest version of OSX Mountain Lion and Windows 7. Let’s now jump into everything and setup our instance of MongoDB. If you have a couple minutes try scanning through the Mongo online docs to clarify any fuzzy ideas.Īnd even if you don’t have the concept down 100% that’s okay! Many people use MySQL on a daily basis with the same vague understanding of how databases work. It makes a lot of sense once you see everything working in action. I can understand this terminology will be confusing at first. The only requirement is a unique ID number which MongoDB will automatically add into each document object. And as mentioned before, each document doesn’t need to match other documents with the same fields. In our collection of Users we may have 500 total document objects for all 500 of our users. They are basically JSON data blocks stored in memory-mapped files which behave as separate entries in your collections. Now each of these entries or rows inside a collection is called a document. This is the flexible MongoDB system which makes these databases easy to work with. Then another entry with First, Last, and Middle name, along with e-mail address and date of birth. Inside a collection of Users there may be one entry with First name & Last name. Each entry (row) can use varying dynamic schemas in key-value pairs. But inside databases are collections, not tables.Ī collection may be considered a table except there are no aligned columns. MongoDB can still hold various databases of different names within one installation package, just like MySQL. Key Terminologyīefore we get to installing and testing a Mongo database I’d like to explain a couple of terms which may be confusing later on. It’s a powerful solution for web developers who are tired of the limitations of using SQL and want to try something new.
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There are drivers for nearly any language including C/C++, Python, PHP, Ruby, Perl.
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I would argue the reliability of MongoDB and the collective code bases available is one of the strongest reasons to learn this system.
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There is even an open source Objective-C Mongo library for iPhone developers and plenty of other resources for Android programmers using Java. SQL can be very limiting and I would consider a schemaless database to be even more useful when building mobile apps. I think MongoDB is probably best used in a situation where you’re testing a new application and seeing how you could structure a database with free-form objects. This may be another scenario where personal opinion has the authority but I feel that Mongo offers more support and documentation for newcomers. They both use JSON for storing data and can both power high-volume applications. On the MongoDB website I came across an article comparing MongoDB to CouchDB, which is currently owned by Apache. Also the core team is still active in pushing code releases in a timely manner. Personally I have only heard great things about the project and it supports a wide range of Operating Systems (Windows, OSX, Linux). There are a few other schemaless databases you could choose to try other than Mongo. But MongoDB is certainly an appealing database system and worth testing the waters. It is a bit different than regular SQL tables containing rows/columns of data. This JavaScript-based language focuses on Objects which contain key-value pairs. Web developers will mostly enjoy Mongo if they are familiar with JSON.
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Explore the steps towards getting your system ( Windows and Mac) up and running with Mongo,.Following this article and a few more to come, we will: This means much of the functionality can be accessed directly through JavaScript notation.īut Mongo comes with its own shell interface for running commands directly onto your databases.
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The most considerable differences are that MySQL is written using SQL queries, while MongoDB is focused on BSON (Binary JSON). Mongo is an open source schemaless database system which is very different from the more popular MySQL.
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