- getMemoryKey
The results of the MapReduce job are associated with a memory-key to ultimately
be stored in Memory.
- getMapKeySort
If a Comparator is provided, then all pairs leaving the MapEmitter are sorted.
The sorted results ar
- getReduceKeySort
If a Comparator is provided, then all pairs leaving the ReduceEmitter are
sorted. If sorting is not
- addResultToMemory
The final result can be generated and added to Memory and accessible via
org.apache.tinkerpop.gremli
- doStage
A MapReduce job can be map-only, map-reduce-only, or map-combine-reduce. Before
executing the partic
- map
The map() method is logically executed at all vertices in the graph in parallel.
The map() method em
- reduce
The reduce() method is logically on the "machine" the respective key hashes to.
The reduce() method
- workerEnd
This method is called at the end of the respective MapReduce.Stage for a
particular "chunk of vertic
- workerStart
This method is called at the start of the respective MapReduce.Stage for a
particular "chunk of vert
- storeState
When it is necessary to store the state of a MapReduce job, this method is
called. This is typically
- createMapReduce
A helper method to construct a MapReduce given the content of the supplied
configuration. The class
- combine
The combine() method is logically executed at all "machines" in parallel. The
combine() method pre-c