I\'m working with Hadoop MapReduce. I\'ve got data in HDFS and data in each file is already sorted. Is it possible to force MapReduce not to resort the data after map phase? I\'ve tried to change the
I have been using CouchDB for quite sometime without any issues. That is up until now. I recently saw something in my map/reduce results which I had overlooked!
How could i combine with map/reduce these two files: File1. Data. 开发者_StackOverflow1name:foo1,position:bar1
I tried this Configuration conf = new Configuration(); conf.set(\"mapred.task.timeout\", \"1000\"); Job job = new Job(conf);
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What I want: I have a master collection of products, I then want to filter them and put them in a separate collec开发者_JS百科tion.
This is an ambitious question from a Wolfram Science Conference: Is there such a thing as a net开发者_开发知识库work analog of a recursive function? Maybe a kind of iterative \"map-reduce\" pattern? I
Let\'s say I have a dataset like the following: { \"_id\" : ObjectId(\"4dd51c0a3f42cc01ab0e6506\"), \"views\" : 1000, \"status\" : 1 }
I am studying to use Apache Mahout, and get the following message after running one of its example: Exception in thread \"main\" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input pat
I have two documents that looks a bit like so: Doc { _id: AAA, creator_id: ..., data: ... } DataKey { _id: ...,
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