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Array of embedded documents vs Foreign key?
There are 2 collections: Users and Comments. Users has N documents, and Comments is nested within Users (that is, Users = {..., [Comments], ...} - an array of comments) and has an average of M documents for each Users document. Comments have an indexed Views field.
It is required to find all comments that have, say, 200 views.
Complexity for each of 2 approaches:
1.Comments is embedded in Users as described above, then complexity will be N*LogM. That is, you need to look at each user - N iterations, and then go over the Views tree - LogM
2.Comments exists autonomously and its docks have a link - ObjectID to the dock. Users (classic one-to-many). Then Comments will have N * M docs and the complexity will be Log( N * M ) .
Conclusion: if you want to filter by the fields of nested docs, then you should implement collections not as nested ones, but as a separate collection, as in RDB.
Am I estimating the difficulty correctly? If so, what are the use cases for arrays of nested documents before the RDB approach described in point 2?
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Conclusion: if you want to filter by the fields of nested docs, then you should implement collections not as nested ones, but as a separate collection, as in RDB.More often yes. There are also options such as marking certain users so as not to sort through all, or duplicating "distinctive" comments into a separate collection, or vice versa duplicating into a "user document", in nosql it is more flexible.
N * LogM. That is, you need to look at each user - N iterationsIn order not to do N iterations, an index is used to get the necessary documents without enumerations (and enumerations use the "disk").
Comments will have N * M docs and the complexity will be Log( N * M ).Where did you get Log from? To get "all comments with 200 views.", the collection of users does not need to be touched at all.
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