I hope I\'m asking this in the right way. I\'m learning my way around Elastic MapReduce and I\'ve seen numerous references to the \"Aggregate\" reducer that can be used with \"Streaming\" job flows.
I\'m doing some work to analyse the access logs from a Catalyst web application. The data is from the load balancers in front of the web farm and totals about 35Gb per day. It\'s stored in a Hadoop HD
I have been looking at using MapReduce to build a parallelized record combining system. The language doesn\'t matter, I can use a pre-existing library such as Hadoop or build my own if necessary, I\'m
I have a bunch of large HTML files and I want to run a Hadoop MapReduce job on them to find the most frequently used words. I wrote both my mapper and reducer in Python and used Hadoop streaming to ru
I have implemented an unweighted random walk function for a graph that I built in Python using NetworkX. Below is a snippet of my program that deals with the random walk. Elsewhere in my program, I ha
Looking at the combination of MapReduce and HBase from a data-flow perspective, my problem seems to fit. I have a large set of documents which I want to Map, Combine and Reduce. My previous SQL implem
Using only a mapper (a Python script) and no reducer, how can I output a separate file with the 开发者_JAVA百科key as the filename, for each line of output, rather than having long files of output?The
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