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|NO.Z.00035|——————————|BigDataEnd|——|Hadoop&Spark.V09|------------------------------------------|Spa

2022-04-12 13:35:02  阅读：196  来源： 互联网

标签：Administrator Users repository NO jar TopN m2 org Spark



[BigDataHadoop：Hadoop&Spark.V09]                                        [BigDataHadoop.Spark内存级快速计算引擎][|章节三|Hadoop|spark|sparkcore：RDD编程高阶&TopN优化|







一、TopN编程代码
### --- TopN编程代码优化

package cn.yanqi.sparkcore

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}

import scala.collection.immutable


object TopN {
  def main(args: Array[String]): Unit = {
    // 创建SparkContext
    val conf = new SparkConf().setAppName(this.getClass.getCanonicalName.init).setMaster("local[*]")
    val sc = new SparkContext(conf)
    sc.setLogLevel("WARN")
    val N = 9

    // 生成数据
    val random = scala.util.Random
    val scores: immutable.IndexedSeq[String] = (1 to 50).flatMap { idx =>
      (1 to 2000).map { id =>
        f"group$idx%2d,${random.nextInt(100000)}"
      }
    }

    val scoresRDD: RDD[(String, Int)] = sc.makeRDD(scores).map { line =>
      val fields: Array[String] = line.split(",")
      (fields(0), fields(1).toInt)
    }
    scoresRDD.cache()

    // TopN的实现
    // groupByKey的实现，需要将每个分区的每个group的全部数据做shuffle
    scoresRDD.groupByKey()
      .mapValues(buf => buf.toList.sorted.takeRight(N).reverse)
      .sortByKey()
      .collect.foreach(println)

    println("******************************************")

    // TopN的优化
    scoresRDD.aggregateByKey(List[Int]())(
      (lst, score) => (lst :+ score).sorted.takeRight(N),
      (lst1, lst2) => (lst1 ++ lst2).sorted.takeRight(N)
    ).mapValues(buf => buf.reverse)
      .sortByKey()
      .collect.foreach(println)

    // 关闭SparkContext
    sc.stop()
  }
}
### --- 编译打印

D:\JAVA\jdk1.8.0_231\bin\java.exe "-javaagent:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\lib\idea_rt.jar=59944:D:\IntelliJIDEA\IntelliJ IDEA 2019.3.3\bin" -Dfile.encoding=UTF-8 -classpath 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rmat\2.4.0\parquet-format-2.4.0.jar;C:\Users\Administrator\.m2\repository\org\apache\parquet\parquet-jackson\1.10.1\parquet-jackson-1.10.1.jar;C:\Users\Administrator\.m2\repository\org\apache\arrow\arrow-vector\0.10.0\arrow-vector-0.10.0.jar;C:\Users\Administrator\.m2\repository\org\apache\arrow\arrow-format\0.10.0\arrow-format-0.10.0.jar;C:\Users\Administrator\.m2\repository\org\apache\arrow\arrow-memory\0.10.0\arrow-memory-0.10.0.jar;C:\Users\Administrator\.m2\repository\com\carrotsearch\hppc\0.7.2\hppc-0.7.2.jar;C:\Users\Administrator\.m2\repository\com\vlkan\flatbuffers\1.2.0-3f79e055\flatbuffers-1.2.0-3f79e055.jar;C:\Users\Administrator\.m2\repository\joda-time\joda-time\2.9.7\joda-time-2.9.7.jar;C:\Users\Administrator\.m2\repository\mysql\mysql-connector-java\5.1.44\mysql-connector-java-5.1.44.jar;C:\Users\Administrator\.m2\repository\org\apache\spark\spark-hive_2.12\2.4.5\spark-hive_2.12-2.4.5.jar;C:\Users\Administrator\.m2\repository\com\twitter\parquet-hadoop-bundle\1.6.0\parquet-hadoop-bundle-1.6.0.jar;C:\Users\Administrator\.m2\repository\org\spark-project\hive\hive-exec\1.2.1.spark2\hive-exec-1.2.1.spark2.jar;C:\Users\Administrator\.m2\repository\commons-io\commons-io\2.4\commons-io-2.4.jar;C:\Users\Administrator\.m2\repository\javolution\javolution\5.5.1\javolution-5.5.1.jar;C:\Users\Administrator\.m2\repository\log4j\apache-log4j-extras\1.2.17\apache-log4j-extras-1.2.17.jar;C:\Users\Administrator\.m2\repository\org\antlr\antlr-runtime\3.4\antlr-runtime-3.4.jar;C:\Users\Administrator\.m2\repository\org\antlr\stringtemplate\3.2.1\stringtemplate-3.2.1.jar;C:\Users\Administrator\.m2\repository\antlr\antlr\2.7.7\antlr-2.7.7.jar;C:\Users\Administrator\.m2\repository\org\antlr\ST4\4.0.4\ST4-4.0.4.jar;C:\Users\Administrator\.m2\repository\com\googlecode\javaewah\JavaEWAH\0.3.2\JavaEWAH-0.3.2.jar;C:\Users\Administrator\.m2\repository\org\iq80\snappy\snappy\0.2\snappy-0.2.jar;C:\Users\Administrator\.m2\repository\stax\stax-api\1.0.1\stax-api-1.0.1.jar;C:\Users\Administrator\.m2\repository\net\sf\opencsv\opencsv\2.3\opencsv-2.3.jar;C:\Users\Administrator\.m2\repository\org\spark-project\hive\hive-metastore\1.2.1.spark2\hive-metastore-1.2.1.spark2.jar;C:\Users\Administrator\.m2\repository\com\jolbox\bonecp\0.8.0.RELEASE\bonecp-0.8.0.RELEASE.jar;C:\Users\Administrator\.m2\repository\commons-cli\commons-cli\1.2\commons-cli-1.2.jar;C:\Users\Administrator\.m2\repository\commons-logging\commons-logging\1.1.3\commons-logging-1.1.3.jar;C:\Users\Administrator\.m2\repository\org\datanucleus\datanucleus-api-jdo\3.2.6\datanucleus-api-jdo-3.2.6.jar;C:\Users\Administrator\.m2\repository\org\datanucleus\datanucleus-rdbms\3.2.9\datanucleus-rdbms-3.2.9.jar;C:\Users\Administrator\.m2\repository\commons-pool\commons-pool\1.5.4\commons-pool-1.5.4.jar;C:\Users\Administrator\.m2\repository\commons-dbcp\commons-dbcp\1.4\commons-dbcp-1.4.jar;C:\Users\Administrator\.m2\repository\javax\jdo\jdo-api\3.0.1\jdo-api-3.0.1.jar;C:\Users\Administrator\.m2\repository\javax\transaction\jta\1.1\jta-1.1.jar;C:\Users\Administrator\.m2\repository\commons-httpclient\commons-httpclient\3.1\commons-httpclient-3.1.jar;C:\Users\Administrator\.m2\repository\org\apache\calcite\calcite-avatica\1.2.0-incubating\calcite-avatica-1.2.0-incubating.jar;C:\Users\Administrator\.m2\repository\org\apache\calcite\calcite-core\1.2.0-incubating\calcite-core-1.2.0-incubating.jar;C:\Users\Administrator\.m2\repository\org\apache\calcite\calcite-linq4j\1.2.0-incubating\calcite-linq4j-1.2.0-incubating.jar;C:\Users\Administrator\.m2\repository\net\hydromatic\eigenbase-properties\1.1.5\eigenbase-properties-1.1.5.jar;C:\Users\Administrator\.m2\repository\org\apache\httpcomponents\httpclient\4.5.6\httpclient-4.5.6.jar;C:\Users\Administrator\.m2\repository\org\apache\httpcomponents\httpcore\4.4.10\httpcore-4.4.10.jar;C:\Users\Administrator\.m2\repository\org\codehaus\jackson\jackson-mapper-asl\1.9.13\jackson-mapper-asl-1.9.13.jar;C:\Users\Administrator\.m2\repository\commons-codec\commons-codec\1.10\commons-codec-1.10.jar;C:\Users\Administrator\.m2\repository\org\jodd\jodd-core\3.5.2\jodd-core-3.5.2.jar;C:\Users\Administrator\.m2\repository\org\datanucleus\datanucleus-core\3.2.10\datanucleus-core-3.2.10.jar;C:\Users\Administrator\.m2\repository\org\apache\thrift\libthrift\0.9.3\libthrift-0.9.3.jar;C:\Users\Administrator\.m2\repository\org\apache\thrift\libfb303\0.9.3\libfb303-0.9.3.jar;C:\Users\Administrator\.m2\repository\org\apache\derby\derby\10.12.1.1\derby-10.12.1.1.jar cn.yanqi.sparkcore.TopN
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
(group 1,List(99983, 99981, 99937, 99892, 99840, 99731, 99611, 99517, 99498))
(group 2,List(99989, 99987, 99941, 99939, 99936, 99927, 99883, 99852, 99836))
(group 3,List(99945, 99927, 99878, 99870, 99853, 99820, 99795, 99779, 99734))
(group 4,List(99981, 99925, 99891, 99756, 99726, 99662, 99651, 99644, 99620))
(group 5,List(99994, 99986, 99985, 99926, 99904, 99851, 99799, 99790, 99764))
(group 6,List(99985, 99984, 99922, 99806, 99780, 99721, 99679, 99648, 99585))
~~~ 省略部分参数
******************************************
21/10/20 00:21:20 WARN TaskSetManager: Stage 5 contains a task of very large size (395 KB). The maximum recommended task size is 100 KB.
(group 1,List(99983, 99981, 99937, 99892, 99840, 99731, 99611, 99517, 99498))
(group 2,List(99989, 99987, 99941, 99939, 99936, 99927, 99883, 99852, 99836))
(group 3,List(99945, 99927, 99878, 99870, 99853, 99820, 99795, 99779, 99734))
(group 4,List(99981, 99925, 99891, 99756, 99726, 99662, 99651, 99644, 99620))
(group 5,List(99994, 99986, 99985, 99926, 99904, 99851, 99799, 99790, 99764))
(group 6,List(99985, 99984, 99922, 99806, 99780, 99721, 99679, 99648, 99585))
~~~ 省略部分参数

Process finished with exit code 0
二、job执行流程







===============================END===============================

Walter Savage Landor:strove with none,for none was worth my strife.Nature I loved and, next to Nature, Art:I warm'd both hands before the fire of life.It sinks, and I am ready to depart                                                                                                                                                   ——W.S.Landor



来自为知笔记(Wiz)

标签：Administrator,Users,repository,NO,jar,TopN,m2,org,Spark
来源： https://www.cnblogs.com/yanqivip/p/16134652.html

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