我在尝试运行一个非常简单的火花作业时遇到以下错误（使用mllib中的SGD进行逻辑回归）：
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
似乎未设置-Djava.library.path。我也尝试了上面的java命令，并将本机lib目录提供给java.library.path，但仍然遇到了相同的错误。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
对于什么是错误的任何想法？感谢。