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Sasha e468292039 perf(db-mongodb): improve performance of all operations, up to 50% faster (#9594 )

This PR improves speed and memory efficiency across all operations with
the Mongoose adapter.

### How?

- Removes Mongoose layer from all database calls, instead uses MongoDB
directly. (this doesn't remove building mongoose schema since it's still
needed for indexes + users in theory can use it)
- Replaces deep copying of read results using
`JSON.parse(JSON.stringify(data))` with the `transform` `operation:
'read'` function which converts Date's, ObjectID's in relationships /
joins to strings. As before, it also handles transformations for write
operations.
- Faster `hasNearConstraint` for potentially large `where`'s
- `traverseFields` now can accept `flattenedFields` which we use in
`transform`. Less recursive calls with tabs/rows/collapsible

Additional fixes
- Uses current transaction for querying nested relationships properties
in `buildQuery`, previously it wasn't used which could've led to wrong
results
- Allows to clear not required point fields with passing `null` from the
Local API. Previously it didn't work in both, MongoDB and Postgres

Benchmarks using this file
https://github.com/payloadcms/payload/blob/chore/db-benchmark/test/_community/int.spec.ts

### Small Dataset Performance

| Metric | Before Optimization | After Optimization | Improvement (%) |

|---------------------------|---------------------|--------------------|-----------------|
| Average FULL (ms) | 1170 | 844 | 27.86% |
| `payload.db.create` (ms) | 1413 | 691 | 51.12% |
| `payload.db.find` (ms) | 2856 | 2204 | 22.83% |
| `payload.db.deleteMany` (ms) | 15206 | 8439 | 44.53% |
| `payload.db.updateOne` (ms) | 21444 | 12162 | 43.30% |
| `payload.db.findOne` (ms) | 159 | 112 | 29.56% |
| `payload.db.deleteOne` (ms) | 3729 | 2578 | 30.89% |
| DB small FULL (ms) | 64473 | 46451 | 27.93% |

---

### Medium Dataset Performance

| Metric | Before Optimization | After Optimization | Improvement (%) |

|---------------------------|---------------------|--------------------|-----------------|
| Average FULL (ms) | 9407 | 6210 | 33.99% |
| `payload.db.create` (ms) | 10270 | 4321 | 57.93% |
| `payload.db.find` (ms) | 20814 | 16036 | 22.93% |
| `payload.db.deleteMany` (ms) | 126351 | 61789 | 51.11% |
| `payload.db.updateOne` (ms) | 201782 | 99943 | 50.49% |
| `payload.db.findOne` (ms) | 1081 | 817 | 24.43% |
| `payload.db.deleteOne` (ms) | 28534 | 23363 | 18.12% |
| DB medium FULL (ms) | 519518 | 342194 | 34.13% |

---

### Large Dataset Performance

| Metric | Before Optimization | After Optimization | Improvement (%) |

|---------------------------|---------------------|--------------------|-----------------|
| Average FULL (ms) | 26575 | 17509 | 34.14% |
| `payload.db.create` (ms) | 29085 | 12196 | 58.08% |
| `payload.db.find` (ms) | 58497 | 43838 | 25.04% |
| `payload.db.deleteMany` (ms) | 372195 | 173218 | 53.47% |
| `payload.db.updateOne` (ms) | 544089 | 288350 | 47.00% |
| `payload.db.findOne` (ms) | 3058 | 2197 | 28.14% |
| `payload.db.deleteOne` (ms) | 82444 | 64730 | 21.49% |
| DB large FULL (ms) | 1461097 | 969714 | 33.62% |

2024-12-19 13:20:39 -05:00