word-count

My question may sound redundant here but the solution to the earlier questions were all ad-hoc. few I have tried but no luck yet. Acutally, I am working on hadoop-1.2.1(on ubuntu 14), Initially I had single node set-up and there I ran the WordCount program succesfully. Then I added one more node to it according to this tutorial. It started successfully, without any errors, But now when I am running the same WordCount program it is hanging in reduce phase. I looked at task-tracker logs, they are as given below :- INFO org.apache.hadoop.mapred.TaskTracker: LaunchTaskAction (registerTask):

I was trying this tutorial http://spark.apache.org/docs/latest/quick-start.html I first created a collection from a file textFile = sc.textFile("README.md") Then I tried a command to cound the words: wordCounts = textFile.flatMap(lambda line: line.split()).map(lambda word: (word, 1)).reduceByKey(lambda a, b: a+b) To print the collection: wordCounts.collect() I found how to sort it by word using the command sortByKey. I was wondering how it could be possible to do the same thing for sorting by the value, that in this case in the number that a word occur in the document. The sorting usually

What's a simple implementation of the following NSString category method that returns the number of words in self , where words are separated by any number of consecutive spaces or newline characters? Also, the string will be less than 140 characters, so in this case, I prefer simplicity & readability at the sacrifice of a bit of performance. @interface NSString (Additions) - (NSUInteger)wordCount; @end I found the following solutions: implementation of -[NSString wordCount] implementation of -[NSString wordCount] - seems a bit simpler But, isn't there a simpler way? Why not just do the

I am working on a project, but I cannot use any existing java data structures (ie, ArraysList, trees, etc) I can only use arrays. Therefore, I need to dynamically update an array with new memory. I am reading from a text file, and I pre-allocate 100 for the arrays memory: String [] wordList; int wordCount = 0; int occurrence = 1; int arraySize = 100; wordList = new String[arraySize]; while ((strLine = br.readLine()) != null) { // Store the content into an array Scanner s = new Scanner(strLine); while(s.hasNext()) { wordList[wordCount] = s.next(); wordCount++; } } Now this works fine for under

I'm trying to put together a regular expression for a JavaScript command that accurately counts the number of words in a textarea. One solution I had found is as follows: document.querySelector("#wordcount").innerHTML = document.querySelector("#editor").value.split(/\b\w+\b/).length -1; But this doesn't count any non-Latin characters (eg: Cyrillic, Hangul, etc); it skips over them completely. Another one I put together: document.querySelector("#wordcount").innerHTML = document.querySelector("#editor").value.split(/\s+/g).length -1; But this doesn't count accurately unless the document ends in

I'd like to count frequencies of all words in a text file. >>> countInFile('test.txt') should return {'aaa':1, 'bbb': 2, 'ccc':1} if the target text file is like: # test.txt aaa bbb ccc bbb I've implemented it with pure python following some posts . However, I've found out pure-python ways are insufficient due to huge file size (> 1GB). I think borrowing sklearn's power is a candidate. If you let CountVectorizer count frequencies for each line, I guess you will get word frequencies by summing up each column. But, it sounds a bit indirect way. What is the most efficient and straightforward way