In a 3 node hadoop cluster. I would like the master to be 1 node. Map task taking place in one node and reduce tasks in 1 node. Map and reduce tasks should be separated. Is it possible? As far as i no
My Website On the above link you can see that the middle news post has an image that is just too big.
I have the following documents in a database: { id: 1, text: \'Hello I had a big grannysmith apple today and a big pear\'
I\'ve got 3 types of documents in my db: { param: \"a\", timestamp: \"t\" } (Type 1) { param: \"b\", partof: \"a\"
When I was trying the Map Reduce programming example from Hadoop in Action book based on Hadoop 0.20 API I got the error
I am a beginner at Python, and this is my first post, so don\'t be too harsh :). I\'ve been playing around with Python lately and was wondering if something like
Fold (aka reduce) is considered a very important higher order function. Map can be expressed in开发者_运维百科 terms of fold (see here). But it sounds more academical than practical to me. A typical u
I have 5 dictionaries and I want a union of their keys. alldict =[dict1, dict2, dict3, dict4, dict5] I tried
I have a large data set (10\'s of billions) of data points (doubles) that I need to display on a chart. Since displaying all of the data at once is not useful, I was looking for an algorithm that will
My code currently contains, as part of the condition for a while loop: reduce(operator.or_, map(lambda y: reduce(operator.or_, map(lambda x: x[0] == y, data[testedoffset:])), footers))
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