I'ev found this resource to be very helpful when working on doing conversions from SQL to Mongo SQL to Mongo Mapping Chart.
I'ev found this resource to be very helpful when working on doing conversions from SQL to Mongo SQL to Mongo Mapping Chart In this case you would be looking like something similar to: db.users. Group({key: {age: true}, initial: {count: 0}, reduce: function (obj, prev) { prev. Count++;} } ) Since you have a bit more complex logic here you need to use the reduce function.
Honestly you should read a bit more into this to fully understand exactly what is going on here. Map Reduce.
You can accomplish these kinds of queries with the pymongo driver by using the .group() function. Db.table. Group("field1", {}, {"count":0},"function(o, p){p.
Count++}" ) This will group together distinct values of "field1" and increment a counter to track the number of occurrences of each.
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