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In many real-life situations where you apply MapReduce, the final algorithms end up being several MapReduce steps.
I.e. Map1 , Reduce1 , Map2 , Reduce2 , etc.
So you have the output from the last reduce that is needed as the input for the next map.
The intermediate data is something you (in general)…
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When I executed a MapReduce program in Eclipse using Hadoop, I got the below error.
It has to be some change in path, but I'm not able to figure it out.
Any idea?
16:35:39 INFO mapred.JobClient: Task Id : attempt_201001151609_0001_m_000006_0, Status : FAILED
java.io.FileNotFoundException: File C:/tmp/hadoop-Shwe/mapred/local/taskTracker/jobcache/job_201001151609_0001/attempt_201001151609_0001_m_000006_0/work/tmp…
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Hello,
I would like to convert the following Java program to a MapReduce job. I have read about MapReduce and feel like this would be a good problem to solve using it, but I cannot figure out what to do.
This basically loops through a directory of html files and parses them into a CSV file.
http://www…
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Could mapreduce be used to implement a webserver?
I'm thinking something like when a request comes in then the request sits on a queue, until a server is free to process it? Or am I missing the point here?
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In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce.
What is MapReduce?
MapReduce was designed by Google as a programming model for processing large data sets with…
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