MapReduce作业结果中使用了多少MAPPERS？

Question

当我在群集上运行MapReduce作业时。我得到的输出是：

 Map-Reduce Framework
            CPU time spent (ms)=1252250
            Combine input records=0
            Combine output records=0
            Failed Shuffles=0
            GC time elapsed (ms)=501
            Input split bytes=468
            Map input records=9544259
            Map output bytes=715844289
            Map output materialized bytes=49747243
            Map output records=75764209
            Merged Map outputs=8
            Physical memory (bytes) snapshot=3090530304
            Reduce input groups=678956
            Reduce input records=75764209
            Reduce output records=111536
            Reduce shuffle bytes=49747243
            Shuffled Maps =8
            Spilled Records=220019817
            Total committed heap usage (bytes)=3500670976
            Virtual memory (bytes) snapshot=16934440960

我想回答：Hadoop使用多少个映射器来处理作业的结果，位于^^^

上方

我是否正确认为映射器输出记录是用于处理数据的映射器数量？