Help using aggregate_raw_results

I've been going around in circles a bit trying to understand if this library can be used to speed up decoding an aggregation query.

Or whether after recent pymongo updates its needed at all.

documents = []

cursor = collection.aggregate_raw_batches(
                              pipeline=aggregation_query,
)
while True:
    try:
        documents.extend([x for x in decode_all(cursor.next())])
    except StopIteration:
        break

How would I use bsonjs.dumps instead?

Start with the aggregate_raw_batches and decode_all usage shown in the issue, then check how bsonjs.dumps is intended to handle BSON data. Document whether it can replace the current decoding flow and whether recent PyMongo behavior changes the recommendation. Done means the usage path and any relevant limitations are clearly explained.