Hi @Preston_Vasquez actually it does, thank you very much for sharing the gist. My only concern is that even without having a context deadline (i.e using context.Background()) there’s still no data returned. I even created a Python Implementation of the same query and its returning the first batch of 101 and after that the service just hangs. There’s no prompt. I waited for a couple of minutes.
Sharing the Python snippet as well
filter_criteria = {'address': '0x9c8ff314c9bc7f6e59a9d9225fb22946427edc03', '_id':{'$gt': '10x9c8ff314c9bc7f6e59a9d9225fb22946427edc03639'}} # Example filter
sort_criteria = [('_id', pymongo.ASCENDING)] # Example sort criteria
result = collection.find(filter_criteria, cursor_type=pymongo.CursorType.NON_TAILABLE).limit(200).sort(sort_criteria)
print(result)
# Print the fetched data
for document in result:
print("Printing Id")
print(document["_id"])
# Close the MongoDB connection
client.close()
Not sure if this helps but when I exported the sample set to a separate collection the queries worked as expected. It seems that the issue arises when they are in larger collections.