I was reading and hearing some stuff about cloud computing and map-reduce techniques lately. I am thinking of playing around with some algorithms to get practical experience in that field and see what
I have a massive, static dataset and I\'ve a function to apply to it. f is in the form reduce(map(f, dataset)), so I would use the MapReduce s开发者_开发知识库keleton. However, I don\'t want to scat
I am having a few million words which I want to search in a billion words corpus. Wh开发者_Python百科at will be the efficient way to do this.
I have a pig script, that activates another python program. I was able to do so in my own hadoop environment, but I always fail when I run my script in Amazon map reduce WS.
I read the mapreduce at http://en.wikipedia.org/wiki/MapReduce ,understood the example of how to get the count of a \"word\" in many \"documents\". However I did not understand the following line:
I can\'t find a single example of submitting a Hadoop job that does not use the deprecated JobConf class.JobClient, which hasn\'t been deprecated, still开发者_开发技巧 only supports methods that take
I want to build a hadoop application which can read words from one file and search in another file. If the word exists - it has to write to o开发者_运维百科ne output file
When I run a mapreduce program using Hadoop, I get the following error. 10/01/18 10:52:48 INFO mapred.JobClient: Task Id : attempt_201001181020_0002_m_000014_0, Status : FAILED
I\'m looking at building some data w开发者_开发问答arehousing/querying infrastructure, right now on top of Map/Reduce solutions like Hadoop.
I am trying to create a mapper only job via AWS (a streaming job). The reducer field is required, so I am giving a dummy executable, and adding -jobconf mapred.map.tasks=0 to the Extra Args box. In th
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