Dealing with arrays in aggregation

In this MongoDB aggregation pipeline tutorial, we focus on calculating the average number of tags per user while dealing with arrays. The challenge involves using the unwind operator to break down arrays, spreading array elements into separate documents, making it possible to calculate averages effectively. After unwinding, we utilize the group operator to group the documents by user ID and then calculate the average number of tags per user. The tutorial also introduces an alternative approach using the addFields and size operators, which simplifies the process by directly adding a new field representing the number of tags. This method avoids the need to unwind and regroup, streamlining the pipeline while achieving the same result. Both approaches are demonstrated, emphasizing the flexibility and power of MongoDB's aggregation framework for handling complex array operations.
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We need this type of tutorial more.

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[@usmanrangrez-cd7zj]

[
{
$project: {
numberOfTags: { $size: "$tags" } // Add a field to each document representing the number of tags
}
},
{
$group: {
_id: null,
averageTagsPerUser: { $avg: "$numberOfTags" } // Calculate the average number of tags
}
},
{
$project: {
_id:0,
averageTagsPerUser:1
}
}
]
Another Way!

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Thanks

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[@Lguabed]

Thanks you for this video. I think only it is better to use $size of array tags instead of $unwind like that {
$group: {
_id: null,
avgtags: {
$avg: { $size : "$tags"},
},
},
} it give the same result

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Hi Sir, Thanks for series Love it ❤❤
I have gone through the docs and I found the another possible solution for this question please check if it's correct
[
{
$group: {
_id: null,
tagAvg: {
$avg: {
$size: {
$ifNull: ["$tags", []]
}
}
}
}
}
]

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LIttle bit harder but Very Good Knowledge

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