MongoDB Articles

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Can MongoDB find() function display avoiding _id?

Smita Kapse
Smita Kapse
Updated on 15-Mar-2026 217 Views

Yes, MongoDB find() function can display results while excluding the _id field by using projection. Set _id: 0 in the projection parameter to hide it from the output. Syntax db.collectionName.find({}, { _id: 0 }); Sample Data Let us first create a collection with sample documents ? db.excludeIdDemo.insertMany([ { "CustomerName": "Larry" }, { "CustomerName": "Chris" }, { "CustomerName": "Mike" }, { "CustomerName": "Bob" } ]); { "acknowledged": true, ...

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MongoDB query to replace value in an array?

Anvi Jain
Anvi Jain
Updated on 15-Mar-2026 1K+ Views

To replace a specific value in a MongoDB array, use the $set operator combined with the $ positional operator. The positional operator identifies the array element that matches the query condition and allows you to update it. Syntax db.collection.update( { "arrayField": "valueToReplace" }, { $set: { "arrayField.$": "newValue" } } ); Sample Data db.replaceValueInArrayDemo.insertMany([ { "StudentScores": [45, 56, 78] }, { "StudentScores": [33, 90, 67] } ]); { "acknowledged": true, ...

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MongoDB regex to display records whose first five letters are uppercase?

Nishtha Thakur
Nishtha Thakur
Updated on 15-Mar-2026 1K+ Views

To find MongoDB documents whose first five letters are uppercase, use the $regex operator with the pattern /^[A-Z]{5}/. The ^ ensures matching from the string beginning, and {5} specifies exactly five consecutive uppercase letters. Syntax db.collection.find({ fieldName: { $regex: /^[A-Z]{5}/ } }); Sample Data db.upperCaseFiveLetterDemo.insertMany([ { "StudentFullName": "JOHN Smith" }, { "StudentFullName": "SAM Williams" }, { "StudentFullName": "CAROL Taylor" }, { "StudentFullName": "Bob Taylor" }, { "StudentFullName": "DAVID Miller" ...

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How to perform $gt on a hash in a MongoDB document?

Nishtha Thakur
Nishtha Thakur
Updated on 15-Mar-2026 176 Views

The $gt operator selects documents where the value of a field is greater than a specified value. When working with embedded documents (hash/object structures), use dot notation to access nested fields within the $gt query. Syntax db.collection.find({ "parentField.nestedField": { $gt: value } }); Sample Data db.performQueryDemo.insertMany([ { "PlayerDetails": { "PlayerScore": 1000, "PlayerLevel": 2 ...

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Check for null in MongoDB?

Anvi Jain
Anvi Jain
Updated on 15-Mar-2026 642 Views

In MongoDB, you can check for null values using the $type operator with type number 10 or alias "null". This operator specifically matches fields that contain explicit null values, not missing fields or empty strings. Syntax db.collection.find({"fieldName": { $type: 10 }}); // OR db.collection.find({"fieldName": { $type: "null" }}); Sample Data Let's create a collection with different types of values to demonstrate null checking ? db.mongoDbEqualDemo.insertMany([ {"Age": 34}, {"Age": ""}, {"Age": null}, {"Age": 56}, ...

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How can I drop a collection in MongoDB with two dashes in the name?

Nishtha Thakur
Nishtha Thakur
Updated on 15-Mar-2026 495 Views

To drop a collection in MongoDB that has special characters like two dashes in its name, you need to use the getCollection() method instead of direct dot notation, since MongoDB cannot parse collection names with special characters using standard syntax. Syntax db.getCollection("collectionNameWithSpecialCharacters").drop(); Create Sample Collection First, let's create a collection with two dashes in the name ? db.createCollection("company--EmployeeInformation"); { "ok" : 1 } Insert Sample Data Add some documents to the collection ? db.getCollection("company--EmployeeInformation").insertMany([ {"CompanyName": "Amazon", "EmployeeName": "Chris"}, ...

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Implementing MongoDB exists and ne?

Smita Kapse
Smita Kapse
Updated on 15-Mar-2026 381 Views

The $exists operator checks whether a field exists in a document, while $ne (not equal) filters documents where a field value does not match the specified value. Combining both operators helps find documents with existing fields that contain meaningful data. Syntax // $exists operator db.collection.find({ "fieldName": { "$exists": true/false } }); // $ne operator db.collection.find({ "fieldName": { "$ne": "value" } }); // Combined usage db.collection.find({ "$and": [ { "fieldName": { "$exists": true } }, ...

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Use ObjectId under findOne() to fetch a specific record in MongoDB?

Anvi Jain
Anvi Jain
Updated on 15-Mar-2026 519 Views

To fetch a specific record in MongoDB using ObjectId with the findOne() method, pass the ObjectId as the query criteria. The findOne() method returns the first document that matches the specified ObjectId. Syntax db.collection.findOne({"_id": ObjectId("objectid_value")}); Create Sample Data db.findOneWorkingDemo.insertMany([ {"ClientId": 1, "ClientName": "Larry", "ClientAge": 26}, {"ClientId": 2, "ClientName": "Chris", "ClientAge": 28}, {"ClientId": 3, "ClientName": "Robert", "ClientAge": 34} ]); { "acknowledged": true, "insertedIds": [ ...

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How to calculate timestamp difference in hours with MongoDB?

Smita Kapse
Smita Kapse
Updated on 15-Mar-2026 998 Views

To calculate timestamp difference in hours in MongoDB, use the aggregate framework with $subtract and $divide operators. The key is subtracting timestamps (which returns milliseconds) and dividing by 3600000 to convert to hours. Syntax db.collection.aggregate([ { $project: { DifferenceInHours: { $divide: [ ...

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Is there any way to see the MongoDB results in a better format?

Anvi Jain
Anvi Jain
Updated on 15-Mar-2026 181 Views

Yes, MongoDB provides several methods to display query results in a better, more readable format instead of the default single-line output. The most common approaches are findOne() and find().toArray(). Syntax // Display single document in formatted JSON db.collection.findOne(); // Display all documents in formatted JSON array db.collection.find().toArray(); Sample Data Let us first create a collection with sample documents ? db.betterFormatDemo.insertMany([ {"StudentName": "Adam Smith", "StudentScores": [98, 67, 89]}, {"StudentName": "John Doe", "StudentScores": [67, 89, 56]}, {"StudentName": "Sam Williams", "StudentScores": [45, ...

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