The aggregation framework was introduced by MongoDB in version 2.2 (which is version 2.1 in the development branch). It serves as an alternative to both the MapReduce framework and querying the database directly.
Using the aggregation framework, we can perform GROUP BY operations in the server. Thus, we can project only the fields that are needed in the result set. Using the $match and $project operators, we can reduce the amount of data passed through the pipeline, resulting in faster data processing.
Self-joins—that is, joining data within the same collection—can also be performed using the aggregation framework, as we will see in our use case.
When comparing the aggregation framework to simply using the queries available via the shell or various other drivers, it is important to remember that there is a use case for both.
For selection and projection...
