.setAppName("sparkWC") val sc = new SparkContext(conf) val rdd = sc.textFile(path) val words = rdd.flatMap(line => line.split(" ")) val wordPair = words.map(word => (word,1)) val result: RDD[(String, Int)] = wordPair.reduceByKey((a, b) => a + b) result.foreachPa...
在jar包名称上面点击鼠标右键选择“Copy Path”,得到jar包在Windows磁盘上的绝对路径:D:\bigdatacode\xbs-spark\target\spark-1.0-SNAPSHOT.jar,在下面上传jar包时会用到此路径。 5. 上传jar包 使用SecureCRT工具连接Spark集群服务器,将spark-1.0-SNAPSHOT.jar上传到服务器: 6. 同步时间 date -s "2017-01-2...
take(10).foreach(println) // 打印词频最高的5个词汇 val top5: Array[(Int, String)] = wordCounts.map { case (k, v) => (v, k) }.sortByKey(ascending = false).take(5) println(top5.mkString("Array(", ", ", ")")) } finally { if (spark != null) { spark.close() } }...
def count(lines:RDD[String]): RDD[(String,Int)]={ val rdd=lines.flatMap(line=>line.split("\\s")).map(word=>(word,1)).reduceByKey(_ +_) rdd } } //引入scalatest建立一个单元测试类,混入特质BeforeAndAfter,在before和after中分别初始化sc和停止sc,//初始化SparkContext时只需将Master设置...
scala中不能使用count++,count—只能使用count = count+1 ,count += 1 for循环用yield 关键字返回一个集合 while循环,while(){},do {}while() 个人学习code 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 object IfAndLoopStatement { def main(args: Array[String]): Unit = { //for循...
In environments that this has been created upfront (e.g. REPL, notebooks), use the builder to get an existing session: SparkSession.builder().getOrCreate() The builder can also be used to create a new session: SparkSession.builder .master("local") .appName("Word Count") .config("spa...
apache.spark.SPARK_VERSION val scalaDocPrefix = s"https://spark.apache.org/docs/$sparkVersion/api/scala/index.html#" // scalastyle:off println def main(args: Array[String]): Unit = { val sc = new Scanner(System.in) println("===") println("= Seahorse doc generator =") println(...
Natural language processing for data analysis Algorithm selections Summary Section 3: Real-Time Data Analysis and Scalability Near Real-Time Data Analysis Using Streaming Overview of streaming Spark Streaming overview Word count using pure Scala Word count using Scala and Spark Word count using Scala an...
com.holdenkarau.spark.testing.{ SharedSparkContext, DataframeGenerator, Column } abstract class FeaturePropSpec extends PropSpec with SharedSparkContext with DefaultReadWriteTest { implicit def arbitraryDenseVector: Arbitrary[DenseVector] = Arbitrary { for (arr <- arbitrary[Array[Double]]) yield new ...
Spark 3.0.3 Python Spark Word Count Very simple code, we read a text file. We split each line using space " " as a separator, we map each word to a tuple (word, 1), 1 being the number of occurrences of the word and We reduce all the words based on Key, Then we sort ...