java.lang.UnsatisfiedLinkError: /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so: /lib64/libc.so.6: version `GLIBC_2.15' not found (required by /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so)

GitHub | zhangweijiqn | 5 months ago
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  1. 0

    GitHub comment 1391#248902503

    GitHub | 5 months ago | zhangweijiqn
    java.lang.UnsatisfiedLinkError: /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so: /lib64/libc.so.6: version `GLIBC_2.15' not found (required by /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so)
  2. 0

    [jvm-packages] Unable to build model on SPARK. I have built the jars in my ubuntu os and I am trying to run xgboost on server which has CENT OS. I am getting the following error.

    GitHub | 11 months ago | astrude
    java.lang.UnsatisfiedLinkError: /tmp/libxgboost4j6223627050269835273.so: /lib64/libc.so.6: version `GLIBC_2.15' not found (required by /tmp/libxgboost4j6223627050269835273.so)
  3. 0

    GitHub comment 11915#167007955

    GitHub | 1 year ago | NeQuissimus
    net.rubygrapefruit.platform.NativeException: Failed to load native library 'libnative-platform.so' for Linux amd64.
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  5. 0

    Loading of jpy DLL fails for user-specific Python installations on Windows

    GitHub | 1 year ago | forman
    java.lang.UnsatisfiedLinkError: C:\Users\Norman\IdeaProjects\jpy\build\lib.win-amd64-3.4\jpy.pyd: %1 ist keine zul├Ássige Win32-Anwendung
  6. 0

    GitHub comment 5#147100271

    GitHub | 1 year ago | str
    java.lang.UnsatisfiedLinkError: /home/str/Downloads/aurous-linux-32/linux/libjxbrowser-common.so: /home/str/Downloads/aurous-linux-32/linux/libjxbrowser-common.so: wrong ELF class: ELFCLASS32 (Possible cause: architecture word width mismatch)

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Root Cause Analysis

  1. java.lang.UnsatisfiedLinkError

    /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so: /lib64/libc.so.6: version `GLIBC_2.15' not found (required by /export/tmp/hadoop-tmp/nm-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so)

    at java.lang.ClassLoader$NativeLibrary.load()
  2. Java RT
    System.load
    1. java.lang.ClassLoader$NativeLibrary.load(Native Method)
    2. java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1938)
    3. java.lang.ClassLoader.loadLibrary(ClassLoader.java:1821)
    4. java.lang.Runtime.load0(Runtime.java:809)
    5. java.lang.System.load(System.java:1086)
    5 frames
  3. ml.dmlc.xgboost4j
    XGBoost$$anonfun$buildDistributedBoosters$1.apply
    1. ml.dmlc.xgboost4j.java.NativeLibLoader.loadLibraryFromJar(NativeLibLoader.java:67)
    2. ml.dmlc.xgboost4j.java.NativeLibLoader.smartLoad(NativeLibLoader.java:153)
    3. ml.dmlc.xgboost4j.java.NativeLibLoader.initXGBoost(NativeLibLoader.java:41)
    4. ml.dmlc.xgboost4j.java.Rabit.<clinit>(Rabit.java:18)
    5. ml.dmlc.xgboost4j.scala.spark.XGBoost$$anonfun$buildDistributedBoosters$1.apply(XGBoost.scala:88)
    6. ml.dmlc.xgboost4j.scala.spark.XGBoost$$anonfun$buildDistributedBoosters$1.apply(XGBoost.scala:86)
    6 frames
  4. Spark
    Executor$TaskRunner.run
    1. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:766)
    2. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:766)
    3. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    4. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
    5. org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:332)
    6. org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:330)
    7. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:919)
    8. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:910)
    9. org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:866)
    10. org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:910)
    11. org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:668)
    12. org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330)
    13. org.apache.spark.rdd.RDD.iterator(RDD.scala:281)
    14. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
    15. org.apache.spark.scheduler.Task.run(Task.scala:85)
    16. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
    16 frames
  5. Java RT
    Thread.run
    1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    3. java.lang.Thread.run(Thread.java:745)
    3 frames