[Hadoop-common-user] what's the mechnism to determine the reducer number and reduce progress

When I run the sort job, I found when there are 70 reduce tasks running and
no one completed, the progress bar shows that it has finished about 80%, so
how the mapreduce mechnism to caculate this?

Also, when I run a job, as we know, we can determine the number of total
reduce tasks through setNumReduceTasks() function, but how to determine the
reducer number(I mean the tasktracker number which run the reduce task)
being used?

Thanks!
Stan. Lee

When I run the sort job, I found when there are 70 reduce tasks running and
no one completed, the progress bar shows that it has finished about 80%, so
how the mapreduce mechnism to caculate this?

Also, when I run a job, as we know, we can determine the number of total
reduce tasks through setNumReduceTasks() function, but how to determine the
reducer number(I mean the tasktracker number which run the reduce task)
being used?

Thanks!
Stan. Lee

On Mon, May 17, 2010 at 12:44 PM, 原攀峰 wrote:

For a reduce task, the execution is divided into three phases, each of
which accounts for 1/3 of the score:
• The copy phase, when the task fetches map outputs.
• The sort phase, when map outputs are sorted by key.
• The reduce phase, when a user-defined function is applied to the list of
map outputs with each key.
--

Yuan Panfeng(原攀峰) | BeiHang University

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在2010-05-17 09:44:38，"stan lee" <lee.stan065@gmail.com> 写道：