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)

Samebug tips1

When installing an APK, it automatically extracts the libraries of the right arch type and has them available for System.loadLibrary. But, if you're trying to load a non-standard library, the installer won't know your app has 32bit native code.


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Stack trace

  • java.lang.UnsatisfiedLinkError: /export/tmp/hadoop-tmp
  • m-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
  • m-local-dir/usercache/root/appcache/application_1473064938887_0277/container_1473064938887_0277_01_000003/tmp/libxgboost4j2443518406039170105.so) at java.lang.ClassLoader$NativeLibrary.load(Native Method) at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1938) at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1821) at java.lang.Runtime.load0(Runtime.java:809) at java.lang.System.load(System.java:1086) at ml.dmlc.xgboost4j.java.NativeLibLoader.loadLibraryFromJar(NativeLibLoader.java:67) at ml.dmlc.xgboost4j.java.NativeLibLoader.smartLoad(NativeLibLoader.java:153) at ml.dmlc.xgboost4j.java.NativeLibLoader.initXGBoost(NativeLibLoader.java:41) at ml.dmlc.xgboost4j.java.Rabit.<clinit>(Rabit.java:18) at ml.dmlc.xgboost4j.scala.spark.XGBoost$$anonfun$buildDistributedBoosters$1.apply(XGBoost.scala:88) at ml.dmlc.xgboost4j.scala.spark.XGBoost$$anonfun$buildDistributedBoosters$1.apply(XGBoost.scala:86) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:766) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:766) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:332) at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:330) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:919) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:910) at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:866) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:910) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:668) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330) at org.apache.spark.rdd.RDD.iterator(RDD.scala:281) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)

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