What is the translation of " REDUCE TASK " in Chinese?

• reduce任务
• 一个reducetask
• reduce task

Examples of using Reduce task in English and their translations into Chinese

Used for a reduce task.
是为一个reducetask。

The reduce task always comes after map task..
Reduce任务总是在map任务之后执行。

These scripts are converted to Map and Reduce tasks.
所有这些脚本都在内部转换为Map和Reduce任务。

The reduce task starts with the shuffle and sort step.
Reduce任务开始于shuffle和sort阶段。

Which is specific to a map task or a reduce task.
负责某一个map或者reduce任务。

The Reduce task always follows as per the Map task..
Reduce任务总是在map任务之后执行。

Consider map task M and reduce tasks R1 and R2.
考虑Map任务M和Reduce任务R1、R2的情况。

The reduce task is always performed after the map task..
Reduce任务总是在map任务之后执行。

After 960 seconds, all except 5 of the reduce tasks are completed.
在960秒后，只有5个Reduce任务没有完成。

A reduce task is always implemented after a map task has been completed.
Reduce任务总是在map任务之后执行。

All these scripts are internally converted to Map and Reduce tasks.
所有这些脚本都在内部转换为Map和Reduce任务。

The reduce tasks are spread across the same nodes in the cluster as the mappers.
Reduce任务在集群内的分布节点同mappers的一样。

In this all the scripts are internally converted into Map and Reduce tasks.
所有这些脚本都在内部转换为Map和Reduce任务。

We rely on atomic commits of map and reduce task outputs to achieve this property.
我们依靠map和reduce任务输出的原子的提交来实现这一性质。

The framework will then sort the output of the maps and place them into a reduce task.
框架会先对Map的输出进行排序，并且把结果输入给Reduce任务。

As the sequence of the name MapReduce implies, the reduce task is always performed after the map job.
按照MapReduce名称的顺序，reduce任务总是在地图作业之后执行。

The sorting is needed because typically many different keys map to the same reduce task.
排序是必要的，因为通常很多不同的键被map到了同一个reducetask。

As the sequence of the name MapReduce implies, the Reduce task is always performed after the completion of Map tasks..
作为MapReduce名称的顺序，reduce任务总是在map作业之后执行。

The master picks idle workers and assigns them either a map task or a reduce task.
Master选择空闲的worker并且分配这些map任务或者Reduce任务。

A reduce task produces one such file, and a map task produces such files(one per reduce task)..
一个reducetask生成一个这样的文件，maptask生成R个这样的文件（每个reducetask一个）。

The master picks idle workers and assigns to each one a map task or a reduce task.
Master挑选闲置的workers且为每个worker分配一个maptask或reducetask。

Secondly, reduce task, which takes the output from a map as an input and combines those data tuples into a smaller set of tuples.
其次，reduce任务，它将map的输出作为输入，并将这些数据元组合并成一组较小的元组。

Furthermore, R is often constrained by users because the output of each reduce task ends up in a separate output file.
进一步来说，用户通常会指定R的值，因为每一个reduce任务最终都是一个独立的输出文件。

If the same reduce task is executed on multiple machines, multiple rename calls will be executed for the same final output file.
如果同一个reducetask在多台机器上执行，同一个最终输出文件的多个重命名调用将被执行。

Furthermore, R is often constrained by users because the output of each reduce task ends up in a separate output file.
此外，R通常受到用户限制，因为每个reducetask的输出最终保存在一个单独的输出文件中。

If the same reduce task is executed on multiple machines, multiple rename calls will be executed for the same final output file.
如果同一个Reduce任务在多台机器上执行，针对同一个最终的输出文件将有多个重命名操作执行。

When a reduce task completes, the reduce worker atomically renames its temporary output file to the final output file.
当一个Reduce任务完成时，ReduceWorker以原子的方式把临时文件重命名为最终的输出文件。

A reduce task produces one such file, and a map task produces such files(one per reduce task).
每个Reduce任务生成一个这样的文件，而每个Map任务则生成R个这样的文件（一个Reduce任务对应一个文件）。