reduce
Separating Hadoop Map and Reduce tasks
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[详细]
2023-02-25 19:12 分类：问答IF image is too big, how do I reduce the size?
My Website On the above link you can see that the middle news post has an image that is just too big.[详细]
2023-02-23 10:26 分类：问答Complex CouchDb View
I have the following documents in a database: { id: 1, text: \'Hello I had a big grannysmith apple today and a big pear\'[详细]
2023-02-21 13:46 分类：问答No Idea how to create a specific MapReduce in CouchDB
I\'ve got 3 types of documents in my db: { param: \"a\", timestamp: \"t\" } (Type 1) { param: \"b\", partof: \"a\"[详细]
2023-02-20 14:56 分类：问答Hadoop Map Reduce Program
When I was trying the Map Reduce programming example from Hadoop in Action book based on Hadoop 0.20 API I got the error[详细]
2023-02-19 13:59 分类：问答Do list comprehensions in Python reduce in a memory efficient manner?
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[详细]
2023-02-18 02:53 分类：问答Practical use of fold/reduce in functional languages
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[详细]
2023-02-17 12:08 分类：问答python: union keys from multiple dictionary?
I have 5 dictionaries and I want a union of their keys. alldict =[dict1, dict2, dict3, dict4, dict5] I tried[详细]
2023-02-16 03:56 分类：问答Algorithm to reduce a large data set into a smaller set?
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[详细]
2023-02-14 01:20 分类：问答Nested lambda expressions in python map and reduce
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))[详细]
2023-02-12 14:25 分类：问答
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