栏目分类:
子分类:
返回
名师互学网用户登录
快速导航关闭
当前搜索
当前分类
子分类
实用工具
热门搜索
名师互学网 > IT > 前沿技术 > 大数据 > 大数据系统

idea ERROR GPLNativeCodeLoader: Could not load native gpl library

idea ERROR GPLNativeCodeLoader: Could not load native gpl library

IDEA 运行spark程序:
package sparkcore

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

object TextFileTest {
  def main(args: Array[String]): Unit = {
    //创建 sparkContext
    System.setProperty("hadoop.home.dir","C:\hadoop\hadoop-3.1.3\hadoop-3.1.3")
    val conf: SparkConf = new SparkConf().setAppName("sparkStream").setMaster("local[*]")
    val sc = new SparkContext(conf)
    //读取文件并过滤空行
    val lines = sc.textFile("file:///C:/KuGou/com_program_learn/02java/IdeaProjects/JavaSpark/src/data/input/rng_comment.txt").filter(_.trim != "")
    lines.foreach(
      x => {
        System.out.println(x.toString)
      }
    )
  }
}

报以下错误:

ERROR GPLNativeCodeLoader: Could not load native gpl library
java.lang.UnsatisfiedlinkError: no gplcompression in java.library.path
    at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1738)
    at java.lang.Runtime.loadLibrary0(Runtime.java:823)
    at java.lang.System.loadLibrary(System.java:1028)
    at com.hadoop.compression.lzo.GPLNativeCodeLoader.(GPLNativeCodeLoader.java:32)
    at com.hadoop.compression.lzo.LzoCodec.(LzoCodec.java:71)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:247)
    at org.apache.hadoop.conf.Configuration.getClassByNameOrNull(Configuration.java:1659)
    at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1624)
    at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128)
    at org.apache.hadoop.io.compress.CompressionCodecFactory.(CompressionCodecFactory.java:175)
    at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
    at java.lang.reflect.Method.invoke(Method.java:597)
    at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
    at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75)
    at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
    at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:155)
    at org.apache.spark.rdd.HadoopRDD$$anon$1.(HadoopRDD.scala:187)
    at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:181)
    at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:93)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
    at org.apache.spark.scheduler.Task.run(Task.scala:51)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
    at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
    at java.lang.Thread.run(Thread.java:662)
14/08/06 20:32:11 ERROR LzoCodec: Cannot load native-lzo without native-hadoop

需要增加windows下hadoop对lzo的支持


    com.hadoop.compression
    com.hadoop.compression
    1.0
    system
    ${project.basedir}/src/main/resources/lib/hadoop-lzo-0.4.20.jar

将jar包放入:类路径下resources/lib

lzo2.dll文件和gplcompression.dll文件,放到system32就行了

链接:https://pan.baidu.com/s/1_pI-7RDm66AYPhxIhb4p5w 
提取码:aitc

转载请注明:文章转载自 www.mshxw.com
本文地址:https://www.mshxw.com/it/612865.html
我们一直用心在做
关于我们 文章归档 网站地图 联系我们

版权所有 (c)2021-2022 MSHXW.COM

ICP备案号:晋ICP备2021003244-6号