Mongo: count the number of word occurrences in a set of documents
aggregation-framework, mongodb
Solution
MapReduce might be a good fit that can process the documents on the server without doing manipulation on the client (as there isn't a feature to split a string on the DB server (open issue).
Start with the `map` function. In the example below (which likely needs to be more robust), each document is passed to the `map` function (as `this`). The code looks for the `summary` field and if it's there, lowercases it, splits on a space, and then emits a `1` for each word found.
var map = function() {
var summary = this.summary;
if (summary) {
// quick lowercase to normalize per your requirements
summary = summary.toLowerCase().split(" ");
for (var i = summary.length - 1; i >= 0; i--) {
// might want to remove punctuation, etc. here
if (summary[i]) { // make sure there's something
emit(summary[i], 1); // store a 1 for each word
}
}
}
};
Then, in the `reduce` function, it sums all of the results found by the `map` function and returns a discrete total for each word that was `emit`ted above.
var reduce = function( key, values ) {
var count = 0;
values.forEach(function(v) {
count +=v;
});
return count;
}
Finally, execute the mapReduce:
> db.so.mapReduce(map, reduce, {out: "word_count"})
The results with your sample data:
> db.word_count.find().sort({value:-1})
{ "_id" : "is", "value" : 3 }
{ "_id" : "bad", "value" : 2 }
{ "_id" : "good", "value" : 2 }
{ "_id" : "this", "value" : 2 }
{ "_id" : "neither", "value" : 1 }
{ "_id" : "or", "value" : 1 }
{ "_id" : "something", "value" : 1 }
{ "_id" : "that", "value" : 1 }
Problem
I have a set of documents in Mongo. Say: ``` [ { summary:"This is good" }, { summary:"This is bad" }, { summary:"Something that is neither good nor bad" } ] ``` I'd like to count the number of occurrences of each word (case insensitive), then sort in descending order. The result should be something like: ``` [ "is": 3, "bad": 2, "good": 2, "this": 2, "neither": 1, "nor": 1, "something": 1, "that": 1 ] ``` Any idea how to do this? Aggregation framework would be preferred, as I understand it to some degree already :)