MongoDB, founded in 2007 with more than 15 million downloads, excels at supporting real-time analytics for big data applications. Rather than storing data in tables made out of individual rows, MongoDB stores it in collections made out of JSON documents. But, why use MongoDB? How does it work? What issues should you pay attention to? Let’s answer these questions in this post.
MongoDB is a NoSQL database, and NoSQL == Not Only SQL. The data structure is combined with keyvalue, like JSON. The data type is very flexible, but flexibility can be a problem if it’s not defined properly. Here are some good reasons you should use MongoDB:
So, now let’s examine how MongoDB works, starting with installing MongoDB:
Now that you have MongoDB on your system, let’s examine some basic usage of MongoDB, covering insertion of a document, removal of a document, and how to drop a collection from MongoDB.
To insert a document, use the cmd call. Here we use employee as an example to insert a name, an account, and a country. You will see the data shown in JSON:
To remove the document:
db.collection.remove({ condition }), justOne)
justOne: true | false, set to remove the first data, but if you want to remove them all, use db.employee.remove({}).
To drop a collection (containing multiple documents) from the database, use:
db.collection.drop()
For more commands, please look at the MongoDB documentation.
Let’s examine some points that you should note when using MongoDB:
I hope this post has provided you with some important points about MongoDB which will help you decide if you have a big data solution that is a good fit for using this NoSQL database.
Tess Hsu is a UI design and front-end programmer. He can be found on GitHub.
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