我在尝试运行非常简单的spark作业（在mllib中使用logistic回归和sgd）时出现以下错误：

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.<clinit>(GPLNativeCodeLoader.java:32)
    at com.hadoop.compression.lzo.LzoCodec.<clinit>(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.<init>(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$1.<init>(HadoopRDD.scala:187)
    at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:181)
    at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:93)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
    at org.apache.spark.scheduler.Task.run(Task.scala:51)
    at org.apache.spark.executor.Executor$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

这是我用来提交作业的命令：

~/spark/spark-1.0.0-bin-hadoop2/bin/spark-submit \
--class com.jk.sparktest.Test \
--master yarn-cluster \
--num-executors 40 \
~/sparktest-0.0.1-SNAPSHOT-jar-with-dependencies.jar

实际的java命令是：

/usr/java/latest/bin/java -cp /apache/hadoop/share/hadoop/common/hadoop-common-2.2.0.2.0.6.0-61.jar:/apache/hadoop/lib/hadoop-lzo-0.6.0.jar::/home/jilei/spark/spark-1.0.0-bin-hadoop2/conf:/home/jilei/spark/spark-1.0.0-bin-hadoop2/lib/spark-assembly-1.0.0-hadoop2.2.0.jar:/home/jilei/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-rdbms-3.2.1.jar:/home/jilei/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-core-3.2.2.jar:/home/jilei/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-api-jdo-3.2.1.jar:/apache/hadoop/conf:/apache/hadoop/conf  \
-XX:MaxPermSize=128m \
-Djava.library.path= 
-Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit \
--class com.jk.sparktest.Test  \
--master yarn-cluster  \
--num-executors 40   \
~/sparktest-0.0.1-SNAPSHOT-jar-with-dependencies.jar

似乎 -Djava.library.path 未设置。我还尝试了上面的java命令，并将本机lib目录提供给 java.library.path ，但仍然有相同的错误。这是本机lib目录的内容：

ls /apache/hadoop/lib/native/
libgplcompression.a   libgplcompression.so    libgplcompression.so.0.0.0  libhadooppipes.a 
libhadoop.so.1.0.0  libhdfs.a   libhdfs.so.0.0.0  libsnappy.so.1
libgplcompression.la  libgplcompression.so.0  libhadoop.a                 libhadoop.so         
libhadooputils.a    libhdfs.so  libsnappy.so      libsnappy.so.1.1.4

你知道怎么了吗？谢谢。