Comparing fields in MongoDB
Sometimes, we need to find a document by comparing two fields. For example, we may need to consider both the sequence number and the ID number when selecting documents in a MongoDB collection; we will see this later in this tutorial.
In this article, we will see how to compare two fields in MongoDB. Also, we will see a relevant example and explanation to make the topic easier to understand.
Comparing fields in MongoDB
There are two techniques we can use for this purpose. We will use the built-in methods for both techniques find()
which are used to search or extract documents from a MongoDB collection.
In our first technique, we will use the keyword $where which primarily matches a specific condition. In our second technique, we will use a simple aggregation with the keyword $expr which allows you to implement an aggregation expression as a parameter.
Let's look at an example to make it clearer.
Example of comparing two fields in MongoDB
In the following example, we will see how to compare two fields in MongoDB. We will compare the sl and id fields.
Now, the command for this purpose is:
Use the $where keyword:
db.mycolletion.find( { $where : "this.sl < this.id" } );
Use the $expr keyword:
db.mycolletion.find({$expr:{$lt:["$sl", "$id"]}})
In the above command, $lt is a comparison operator. You can use some other comparison operators as needed.
Comparison operators available in MongoDB
Below, we share the available comparison operators for aggregation in MongoDB.
- $eq − This stands for the equality operator.
- $ne − This represents the not equal to operator.
- $gt − This stands for greater than operator.
- $gte − This stands for greater than or equal to operator.
- $lt − This stands for the less than operator.
- $lte − This stands for less than or equal to operator.
- $in − This matches any value in the array.
- $nin - This does not match any value in the array.
Now, the two commands shared above will give you the same results as the following command:
{ _id: ObjectId("6371fd850f19826ee6ca5138"),
sl: 0,
Name: 'Alen',
id: '3'
}
请注意
The commands shown in this article are for MongoDB databases and need to be run on the MongoDB console.
For reprinting, please send an email to 1244347461@qq.com for approval. After obtaining the author's consent, kindly include the source as a link.
Related Articles
Date comparison in MongoDB
Publish Date:2025/04/28 Views:169 Category:MongoDB
-
This MongoDB tutorial discusses the issue of returning Date-based queries. In addition, there is also a good tutorial on how to use Date Range queries in MongoDB. Using date ranges in MongoDB We will learn to write MongoDB date range querie
Find objects between two dates in MongoDB
Publish Date:2025/04/28 Views:94 Category:MongoDB
-
In this article, the problem of finding objects between two dates was briefly discussed. In addition, the operators $gte, $lte, $gt, and $lt used for this purpose were briefly explained in detail. Querying date ranges in MongoDB This sectio
Comparing Dates in MongoDB
Publish Date:2025/04/28 Views:115 Category:MongoDB
-
Date is a common field in most databases, and sometimes we need to find exact documents from a collection in MongoDB. For example, if we have a collection of orders, we might search for those documents before or after a specific date. In th
Convert string to date in MongoDB
Publish Date:2025/04/28 Views:162 Category:MongoDB
-
MongoDB is an excellent platform that is growing in popularity. Among the various features it offers, MongoDB also allows you to convert data from one type to another. This may seem like a complex function, but it is very simple to execute.
Building the MongoDB REST API
Publish Date:2025/04/28 Views:70 Category:MongoDB
-
MongoDB is a flexible and scalable document-oriented database system that is widely used for large-volume data storage. It uses documents and collections instead of the traditional rational database approach of using tables and rows. MongoD
Using ORM with MongoDB
Publish Date:2025/04/28 Views:117 Category:MongoDB
-
MongoDB introduces a NoSQL solution for data storage and management, consisting of documents represented in JSON style. Like other database systems, MongoDB can also use ORM. In this article, we will explain the concepts of ORM and general
Locking mechanism in MongoDB
Publish Date:2025/04/28 Views:95 Category:MongoDB
-
In database management systems, locking mechanisms ensure the consistency of the entire result. For example, if some writing process is in progress on the data, a read command cannot be executed at the same time. Database resources are lock
Unique Index in MongoDB
Publish Date:2025/04/28 Views:130 Category:MongoDB
-
In this article, you'll learn about unique indexes, including what they are and how to create them in MongoDB. Additionally, the process of making a user's email unique in MongoDB is briefly described. The contents of this article are as fo
Creating Indexes in MongoDB
Publish Date:2025/04/28 Views:178 Category:MongoDB
-
Indexes help resolve queries efficiently. Without indexes, MongoDB must iterate through every document in the collection to find the documents that match the query. It will waste time and require MongoDB to handle such information. Therefor