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MongoDB is widely recognized as fast, easy to scale, and ready to use. It supports multiple data types to store data intelligently and makes it easier for the database to search and operate on that data quickly and easily. Below are some types of data that are commonly used in MongoDB.
Getting Familiar with Data Types in MongoDB
MongoDB is a unique type of database that works well with thousands of concurrent users, allows you to easily scale to allow larger data sets, and is very fast. MongoDB also has data types that are unique to MongoDB to allow you to store and find information with great ease.
Let's take a refresher on some of the common data types used in MongoDB:
1. String
A string is made to hold text data. Anything made of letters, vocabulary, and sentences are typically string data types. Strings are among the most common types of data in MongoDB, and strings in MongoDB can support essentially all human languages thanks to its use of UTF-8.
Text (String)
In MongoDB, a text (or string) is one of the most popular types of data. It's used when we're storing words, letters, or sentences. To account for letters from different languages, MongoDB uses a special format (UTF-8).
Example:
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{
"student_name": "Anita Roy",
"student_class": "Grade 7",
"student_marks": 88,
"student_passed": true
}
In this case:
"student_name": "Anita Roy" and "student_class": "Grade 7" are text types, since they contain words.
2. Integer
Example:
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{
"student_name": "Riya Sharma",
"course": "Graphic Design",
"course_fee": 12000,
"is_enrolled": true
}
In this example, course_fee is integer as it contains a whole number.
3. Double
A double is a data type that stores decimal numbers. These can be numbers like 12.5 or 3.14 where the value is not a whole number.
Example:
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{
"student_name": "Karan Patel",
"course": "Mathematics",
"test_score": 92.5,
"passed": true
}
'In this case, test_score is a double because it holds a number which has a decimal.
4. Boolean
A boolean is a datatype (data type) that can contain true or false. It is handy for asking yes or no questions. When you want to check a condition like yes/no or on/off.
Example:
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{
"student_name": "Zara Khan",
"course": "Biology",
"test_score": 88.0,
"passed": false
}
The passed field is a boolean because it indicates whether Zara passed or not using true or false.
5. Array
An array allows you to store multiple values under a single element. In MongoDB, this enables you to have a collection of things such as skills or topics.
Example:
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{
"student_name": "Aman Joshi",
"subjects": ["Physics", "Chemistry", "Math"],
"average_score": 85.25,
"is_active": true
}
The subjects field is an array because it holds multiple values (three subjects).
6. Object
An Object is when a document has another document or documents inside. This is called an embedded document. An embedded document simply relates data and organizes it within a document.
Example:
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{
"student_id": "STU2025",
"student_name": "Meena Kapoor",
"student_address":{
"street": "Green Park Road",
"city": "Delhi",
"zip": 110016
}
"student_active": true
The student_address has its own attributes (street, city, zip) so that is why it is considered an object.
7. Date
Date is used to store date or time. It can be useful to remember something like their birth date or when something was made.
Example:
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{
"event_name": "School Science Fair",
"event_date": ISODate("2024-11-15T10:00:00Z"),
"event_duration_hours": 3
}
The field event_date uses the ISODate function so that it captures the specific date and time.
8. Timestamp
A timestamp saves the exact moment an action happened. An action can be a file being created or changed.
Example:
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{
"blog_title": "Healthy Eating Tips",
"blog_author": "Arjun Mehta",
"blog_created": Timestamp(1627891234, 1)
}
The blog_created field returned the exact moment this blog essay was created.
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Conclusion:
MongoDB is a special kind of database that stores different types of information. It can save words, numbers, true/false answers, dates, lists, and even pictures. Each type of data has its own use, like strings for text, integers for whole numbers, and booleans for yes or no. MongoDB helps keep data organized and easy to find. Because it supports many types of data, it works fast and well even with large amounts of information. Learning about these data types helps us understand how MongoDB stores and uses data in smart and useful ways.
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