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MongoDB Aggregate Filter Nested Array | About

Did you know that the aggregation framework is a powerful tool in MongoDB is a powerful tool?

It helps carry out data transformations and analysis on documents within a collection. Furthermore, when we deal with nested arrays in documents, we can use the aggregation framework to filter and manipulate these arrays.

When we have a MongoDB collection with documents with nested arrays, we can use the aggregation framework to filter and manipulate them. This involves creating an aggregation pipeline with stages that help you go through and filter through the arrays.

For instance, suppose we have a collection of documents representing books. Here each document has an array field called authors with information about the authors of the book. If we want to find all books written by a certain author, we can use the following aggregation framework:

db.books.aggregate([
{
$unwind: "$authors" // Deconstruct the authors array
},
{
$match: {
"authors.name": "J.K. Rowling" // Filter based on author's name
}
},
{
$group: {
_id: "$_id",
title: { $first: "$title" },
authors: { $push: "$authors" }
}
}
])

Here, the $unwind stage breaks down the “authors” array and creates a separate document for each author in the array.

Furthermore, the $match stage filters documents according to the author’s name.

Additionally, the $group stage groups the documents back together, in the original structure, with only the selected author.

Our experts would like to point out that the aggregation framework offers many more stages and operators that allow us to carry out different operations on nested arrays and achieve more complex data manipulations. We also have to adapt the stages and operators to our use case and data structure.

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Conclusion

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