This is kind of an odd situation, but I\'m looking for a way to filter using something like MATCHES but on a list of unknown patterns (of unknown length).
开发者_如何学GoLet\'s say I have blog entries like these in my CouchDB database: {\"name\":\"Mary\", \"postdate\":\"20110412\", \"subject\":\"this\", \"message\":\"blah\"}
I have developed around 20 jobs on map reduce including the pagerank algorithm. I never found any challenging pro开发者_Go百科blems to adapt to mapreduce framework online. I would like to improve my s
In mapreduce each reduce task write its output to a file named part-r-nnnnn 开发者_Go百科where nnnnn is a partition ID associated with the reduce task. Does map/reduce merge these files? If yes, how?I
I am new to HDFS and MapReduce and trying to calculate survey statistics. Input file is in this format: Age Points Sex Category - all 4 of them are numbers. Is this the correct start:
I couldn\'t find any documentation 开发者_如何转开发on how hadoop handles splilled records. Is there a link that can be found online.
I am new to hadoop and trying to process wikipedia dump. It\'s a 6.7 GB gzip compressed xml file. I read that hadoop supports gzip compressed files but can only be processed by mapper on a single job
i would be thankfull for advice: http://en.wikipedia.org/wiki/MapReduce states: \"...a large server farm can use MapReduce to sort a petabyte of data in only a few hours...\" and \"...The master node
I need to reassure that I have a correct understanding of the difference for permanent and ad hoc views.
I have a collection in MongoDb where data in the collection has the following structure : {userid = 1 (the id of the user), key1 = value1 , key2 = value2, .... }
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