Big Data Analytics Articles

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Perform min/max with MongoDB aggregation

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 1K+ Views

To find minimum and maximum values in MongoDB, use the $min and $max operators within the aggregation pipeline's $group stage. These operators analyze numeric fields across documents and return the smallest and largest values respectively. Syntax db.collection.aggregate([ { $group: { _id: null, maxValue: { $max: "$fieldName" }, minValue: { ...

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Find the MongoDB collection size for name "Chris

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 154 Views

To find the MongoDB collection size for documents with specific field values, use Object.bsonsize() within a forEach() loop to calculate the total BSON size of matching documents. Syntax var totalSize = 0; db.collection.find({fieldName: "value"}).forEach(function(doc) { totalSize += Object.bsonsize(doc); }); print(totalSize); Sample Data db.demo250.insertMany([ {"Name": "Chris"}, {"Name": "Bob"}, {"Name": "David"}, {"Name": "Chris"} ]); { "acknowledged": true, "insertedIds": [ ...

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Query BinData by Type in MongoDB

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 836 Views

To query BinData documents by their subtype in MongoDB, use the subtype() method within a JavaScript function to filter documents based on their binary data type. Syntax db.collection.find(function(){ return this.fieldName.subtype() == subtypeNumber }); Sample Data Let us create a collection with documents containing different BinData subtypes − db.demo249.insertMany([ { "_id": BinData(0, "AQAAAAEBAAVlbl9VSwAAAAAAAAhv") }, { "_id": BinData(4, "CNDF66qIlCY92q1vFAAAAQ==") }, { "_id": BinData(3, "CNDF66qJ29g92q1vFAAAEw==") } ]); { "acknowledged": true, ...

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MongoDB aggregate to convert multiple documents into single document with an array?

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 1K+ Views

MongoDB aggregation pipeline allows you to group multiple documents into single documents containing arrays. Use the $group stage with $push operator to combine documents sharing a common field into a single document with an array field. Syntax db.collection.aggregate([ { $group: { _id: "$groupingField", arrayField: { ...

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MongoDB query to skip n first documents?

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 212 Views

To skip a specific number of documents in MongoDB, use the skip() method along with limit(). The skip() method bypasses the first n documents and returns the remaining documents from the result set. Syntax db.collection.find().skip(n).limit(count); Sample Data Let us create a collection with documents ? db.demo246.insertMany([ {"StudentFirstName": "Chris", "StudentLastName": "Brown"}, {"StudentFirstName": "John", "StudentLastName": "Doe"}, {"StudentFirstName": "John", "StudentLastName": "Smith"}, {"StudentFirstName": "Carol", "StudentLastName": "Taylor"} ]); { "acknowledged" : true, ...

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Coalesce values from different properties into a single array with MongoDB aggregation

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 747 Views

To coalesce values from different properties into a single array in MongoDB, use the $group stage to collect values with $addToSet, then $project with $setUnion to merge them into one unified array. Syntax db.collection.aggregate([ { $group: { "_id": null, "property1": { $addToSet: "$field1" }, "property2": { $addToSet: "$field2" } ...

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A single MongoDB query to orderby date and group by user

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 320 Views

To order by date and group by user in a single MongoDB query, use the aggregate() method with $group and $sort stages. This approach groups documents by user and finds the maximum date for each user, then sorts the results. Syntax db.collection.aggregate([ { $group: { _id: "$userId", dueDate: { $max: "$dueDate" } } ...

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Easiest way to sort an array in MongoDB

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 665 Views

The easiest way to sort an array in MongoDB is to use the aggregation pipeline with $unwind, $sort, and $group operators. This approach unwraps the array, sorts the elements, and reconstructs the document. Syntax db.collection.aggregate([ { $unwind: "$arrayField" }, { $sort: { "arrayField.sortField": 1 } }, { $group: { _id: "$_id", arrayField: { $push: "$arrayField" } } } ]); Sample Data db.demo242.insertOne({ "details2": [ { "ShipingDate": new ISODate("2019-10-11"), "Price": ...

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Get the maximum mark records from a collection with documents in MongoDB

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 199 Views

To get the maximum mark records from a collection in MongoDB, use the $sort and $limit aggregation operators to sort documents by marks in descending order and retrieve only the top records. Syntax db.collection.aggregate([ { $sort: { marks: -1 } }, { $limit: numberOfRecords } ]); Sample Data Let us create a collection with student documents containing marks − db.students.insertMany([ { "StudentName": "Chris", "marks": 85 }, { "StudentName": "Bob", "marks": 92 }, ...

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MongoDB query for documents whose array elements does not have a specific value

AmitDiwan
AmitDiwan
Updated on 15-Mar-2026 587 Views

To query documents whose array elements do not have a specific value in MongoDB, use the $elemMatch operator combined with $exists: false. This finds documents containing arrays where at least one element lacks the specified field. Syntax db.collection.find({ "arrayField": { "$elemMatch": { "fieldToCheck": { "$exists": false } } } }); Sample Data Let us create a collection with ...

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