Within each phase, a set of parallel workflows define the activities performed and the artifacts that are used, created, or modified by each activity.
在每个阶段内，会使用一组并行工作流定义执行的活动及每个活动使用、创建或修改的构件。
Then MapReduce shuffles the map output by key and does another parallel computation on the redistributed map output, writing the results to the file system in the Reduce phase of the computation.
然后MapReduce按照各个键改组映射输出，对重新分配的映射输出执行另一项并行计算，在计算的归纳阶段将结果写入到文件系统中。
MapReduce breaks down a problem into millions of parallel computations in the Map phase, producing as its output a stream of key-value pairs.
MapReduce在映射阶段将一个问题分解为数百万个并行计算，并生成键-值对流作为输出。
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