Slow lookup with everything indexed

Working with Data
1

Got recently log about slow query.
Part of mine explained pipeline looks like it

// previous stages with 1st match
{
      '$project': [Object],
      nReturned: 1436,
      executionTimeMillisEstimate: 6
    },
    {
      '$lookup': [Object],
      totalDocsExamined: 1436,
      totalKeysExamined: 1436,
      collectionScans: 0,
      indexesUsed: [Array],
      nReturned: 1436,
      executionTimeMillisEstimate: 112
    },
// other stages with ~112 ms each

And $lookup

{
  '$lookup': {
    from: 'users',
    as: 'user',
    localField: 'userId',
    foreignField: '_id'
  },
  totalDocsExamined: 1434,
  totalKeysExamined: 1434,
  collectionScans: 0,
  indexesUsed: [ '_id_' ],
  nReturned: 1434,
  executionTimeMillisEstimate: 112
}

Users collection about 3 million documents. Is there nothing i can do? Except return less documents from $match stage (which one was first in pipeline). Is this a normal behavior? Should i expand server? If so, cpu or memory will be better choice?

Mongo version ^7

2

Is there some way to reduce the total number of documents examined? For example, is there a way to $match ahead of your $lookup to reduce the total number of documents that need to be examined?

3

There is no way atm, need to change apps architecture.
Still, this is a normal behavior, right?