The following code gets the count of type for each user separately. Following is the output. I want the following output, wherein pymongo aggregation project section code tweaks the output to show the ouput listed based on one primary key element which is the assignee in this case. Answer One option is to add 3 more steps: $group by the
Tag: aggregation-framework
Generalize algorithm for a loop comparing to last record?
I have a data set which I can represent by this toy example of a list of dictionaries: Here is an algorithm in Python which collects each of the keys in each ‘collection’ and whenever there is a key change, the algorithm adds those keys to output. The correct output given here records each change of field name: Foo, Bar,
Mongo append to standardized string field based on mapping of multiple fields (including nested)
I have a large collection with fields like: I also have a Python dictionary mapping field values like: I’m trying to (in PyMongo) update my MongoDB collection so that a string field of mapped characters is accumulated, from both the top-level class field and the nested nested.classification fields. In the above, this would produce the following updates: How can I
pymongo: remove duplicates (map reduce?)
I do have a Database with several collections (overall ~15mil documents) and documents look like this (simplified): They all have an unique _id field as well, but I want to delete duplicates accodring to another field (the external ID field). First, I tried a very manual approach with lists and deleting afterwards, but the DB seems too big, takes very