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 partitioning, though …

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 mapreduce function …

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 table using the commands in the hive console: CREATE

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 something …

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. Input Split size is …

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 be used for …

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 passed. Ki...

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 using map to pass …