jagatsingh This question should be clarified a bit to say how many workers are there. Otherwise both true and false can be correct. If there are less workers then maps which are running at given moment will be less. Otherwise if more or equal workers are available then all can run.
george_jost In an ideal implementation for your size M, it should be true but obviously it isn't always true and is therefore false. We don't have an infinite number of processors.
m_prymek The question is wrong IMHO. Number of workers is totally independent on number of data partitions. You can have mn.
The question should be "the number of workers is typically...", "you can have M workers", "you must have at least M workers", "you can't have more than M workers", "if you have M workers, you get better performance than M/2 workers" or something like that...
george_jost True but on a logical perspective, the maximum number of physical workers on your problem is going to be M. I presume, one's operating system would hide this, no?
fatumr777 Empty Editorial, seriously??
nanayadav33 False. There are generally less worker nodes than partitions
george_jost Assuming I have my terminology correct, this is simply because nobody owns an infinite number of processors and therefore if the problem is large enough, we will have less?
mohammadjuberkh1 very nice for beginner of given domain
meenatibiswalcy1 Map/Reduce Library partitions the input data into M pieces of typically 16-64 MB.
True.
If there are M partitions of the input, there are M map workers running simultaneously.
False. There are generally less worker nodes than partitions.
Reduce function accepts intermediate key and a set of values for that key and merges together these values to form possibly a smaller set of values.
True.
Map and Reduce are user defined functions
True.
MapReduce is a restricted programming model?
True. Learn more https://onlineitguru.com/data-science-online-training-placement.html
maddisonjams Thanks for sharing this content . I really appreciate your detailed information on MapReduce . It was very challenging to get my Hadoop Map Reduce assignment done. I am learning Hadoop from JanBask Training and I wish it will help me or many students who are looking for information like this.
fasidigital thanks for sharing valuable information. visit our wizitsolv.com/devops-training-in-hyderabad-kukatpally/ for more details.thanks for sharing valuable information. visit our website for more details.
hkrgroups very nice for beginner of given domain
nikjohn1538 This Question Should be clarified Map/Reduce Library partitions the input data into M pieces of typically 16-64 MB.
True.
If there are M partitions of the input, there are M map workers running simultaneously.
False. There are generally less worker nodes than partitions.
Reduce function accepts intermediate key and a set of values for that key and merges together these values to form possibly a smaller set of values.
True.
Map and Reduce are user defined functions
True.
MapReduce is a restricted programming model?
True.
Thanks for valuable question
Sort 21 Discussions, By:
Please Login in order to post a comment