When grouping records by a hot key and aggregating them, you can perform the grouping in two stages. The first MapReduce stage sends records to a random reducer, so that each reducer performs the grouping on a subset of records for the hot key and outputs a more compact aggregated value per key. The second MapReduce job then combines the values from all of the first-stage reducers into a single value per key.
