I have a mapper whose output i开发者_如何学运维s mapped to multiple different reducer instances by using my own Partitioner. My partitioner makes sure that a given is sent always to a given reducer in
I have a system I wish to distribute where I have a number of very large non-splittable binary files I wish to process in a distributed fashion. These are of the order of a couple of hundreds of Gb. F
I have implemented a simple MapReduce project in Hadoop for processing logs. The input path is the directory where the logs are.
Say I have a binary executable which takes filenames as arguments, like \'myprog file1 file2\', it reads from file1 and writes t开发者_如何学Goo file2. The binary executable does not take stdin and do
Do you know an application or algorithm to reduce dimensionality of big data, maybe using Map-Reduce, or other ap开发者_如何学Pythoni, also:
Looking for similar functionality to Postgres\' Dist开发者_JS百科inct On. Have a collection of documents {user_id, current_status, date}, where status is just text and date is a Date.Still in the ear
I keep hearing that one of the ways to architect a scalable website is to not use joins. How is the world do you do that since most data is relational?
I\'m looking for a research/implementation based project on Hadoop and I came across the list posted on the wiki page - http://wiki.apache.org/hadoop/ProjectSuggestions. But, this page was last update
We\'re about to buy new hardware to run our analyses and are wondering if we\'re making the right decisions.
I\'m looking for a way to calculate \"global\" or \"relative\" values during a MapReduce process - an average, sum, top etc. Say I have a list of workers, with their IDs associated with their salaries
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