spark word count

count the number of occurrences of each word in the Spark directory readme.md this file:First give the complete code, convenient for everyone to have a whole idea:val textFile = sc.textFile("file:/data/install/spark-2.0.0-bin-hadoop2.7/README.md")val wordCounts = textFile.flatMap(line => line.split(" ")).map(

import org.apache.spark.{ sparkconf, Sparkcontext}object WordCount {def main (args:array[string]): Unit = { Val conf = new sparkconf (). Setappname ("WordCount" ) val sc = new Sparkcontext (conf) val lines = Sc.textfile (args (0 ) val WordCount = Lines.flatmap (_.split ("")). Map (x = = (x,1)). Reducebykey (_ + _ Val wordsort = wordcount.map (x = = (x._2,x._1)). Sortbykey (false ). Map ( x => 1 Spark-submit--class WordCount \>--master y

Count the word count of historical records and the word count of historical records I haven't studied for a long time. I suddenly want to read the history to improve my strength. Then, I downloaded the full text of historical records online.I don't know if it is a complete s

To operate HDFs: first make sure that HDFs is up:To start the Spark cluster:Run on the Spark cluster with Spark-shell:View the "LICENSE.txt" file that was uploaded to HDFs before:Read this file with Spark:Count the number of rows in the file using the Counts:We can see that count time is 0.239708sCaches the RDD and exe

Java version of the spark large data Chinese word segmentation Statistics program completed, after a week of effort, the Scala version of the spark Large data Chinese Word segmentation Statistics program also got out, here to share to you want to learn spark friends. The fol

Huawei trial-word count, Huawei word count Enter an article, and output the words with the highest frequency and the secondary frequency (all in lower case, separated by commas ). Only the space, comma, and period delimiters are displayed in the article. Regardless of the frequency. Case Insensitive. Input: I am a stud

Javascript implements word count statistics, and javascript implements word count The word count statistics function is used to add an onKeyup event to textarea. The event reads the content of textarea, obtains the length, and as

JQuery form input text statistics word count plug-in, jquery form word count plug-inThis is a very practical jQuery form input text counting plug-in. The plug-in can set the maximum number of texts that can be entered in an input box or textarea. When a user inputs a text, the plug-in will display the number of words i

, and the data assigned to each partition belongs to the processing category of a task.*/Val lines = Sc.textfile ("e://text//Tang 300", 1)//read local file and set to a partionVal lines = Sc.textfile ("src/com/magicstudio/spark/text/300 tang. txt", 1)Val lines = Sc.textfile (doc, 1)/*** 4th step: The initial RDD for the transformation level of processing, such as map, filter and other high-order functions, such as programming, to perform specific data

1 PackageSogolog2 3 ImportOrg.apache.spark.rdd.RDD4 ImportOrg.apache.spark. {sparkconf, sparkcontext}5 6 /**7 * Count the number of searches per hour8 */9 /*Ten Sogou Log Example One Access time (Hours: seconds) User ID [query Word] The URL in the return results of the ranking user clicked the order number of the user clicked on the URL A 00:00:00 2982199073774412 [360 safety defender] 8 3 download.it.co

>>> Rdd = Sc.parallelize ([("a","1"), ("b", 1), ("a", 1), ("a", 1)])>>>rdd.distinct (). Countbykey (). Items () [('a', 2), ('b', 1)]or: fromoperatorImportaddRdd.distinct (). Map (lambda x: (x[0], 1)). Reducebykey (ADD)rdd.distinct (). Keys (). Map (Lambda x: (x, 1)). Reducebykey (ADD)distinct (numpartitions=none)Return a new rdd containing the distinct elements in this rdd.Sorted(SC. Parallelize([1123]). Distinct(). Collect())[1, 2, 3] Countbykey ()

Http://stackoverflow.com/questions/185697/the-most-efficient-way-to-find-top-k-frequent-words-in-a-big-word-sequencehttp://www.geeksforgeeks.org/find-the-k-most-frequent-words-from-a-file/Http://cs.stackexchange.com/questions/26427/word-frequency-with-ordering-in-on-complexityThe idea is roughly as follows:(1) Hash table statistics Word occurrences, and then look

For some people who work with words, editing a document in Word often uses its "word count" feature. Most people use the Word document on the Tools menu to count the number of words in the document (the entire document or selected section of the document). This is only one o

Package Com.yl.wordcountImport Java.io.FileImport Org.apache.spark. {sparkconf, Sparkcontext}Import Scala.collection.IteratorImport Scala.io.Source/*** WordCount to sort and exclude discontinued words*/Object Wordcountstopwords {def main (args:array[string]) {Val conf = new sparkconf (). Setmaster ("spark://localhost:7077"). Setappname ("WordCount")Val sc = new Sparkcontext (conf)Val outFile = "/users/admin/spark