MapReduce's use of input files and lack of schema support prevents the performance improvements enabled by common database system features such as B-trees and hash …

What scenarios would warrant the use of the "Map and Reduce" algorithm? Is there a .NET implementation of this algorithm?

I know this is an old thread, but I seem to have a similar need. I'm using the nodejs mongodb native driver. The resulting temporary collection seems to empty always. I'm using the …

I am getting: FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask While trying to make a copy of a partitioned …

May 4, 2014 · The issue will happen on YARN clusters where the ResourceManager and/or NodeManager daemons are started with an application classpath that is incomplete. Even …

5 Difference between block size and input split size. Input Split is logical split of your data, basically used during data processing in MapReduce program or other processing techniques. …

Jun 18, 2015 · Can you explain when and why mapreduce is invoked in hive Asked 10 years, 5 months ago Modified 7 years, 6 months ago Viewed 16k times

Dec 10, 2015 · mapreduce.shuffle.max.threads: Number of worker threads for copying the map outputs to reducers. mapreduce.reduce.shuffle.input.buffer.percent: How much of heap should …

I have a simple mapreduce code with mapper, reducer and combiner. The output from mapper is passed to combiner. But to the reducer, instead of output from combiner,output from mapper is …

Also your use of MapReduce paradigm for the given problem is incorrect, using a single map function and multiple "different" reduce function makes no sense, it shows that you are just …