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Samebug tips

  1. ,
    Expert tip

    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.

  2. ,

    This is a sub-class of the LinkageError class and indicates that the JVM cannot find an appropriate native-language definition of a method declared as native. Compile a 64-bit version of your .dylib file.

Solutions on the web

via GitHub by zhangweijiqn
, 1 year ago
/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
via GitHub by jpalumbo1981
, 3 months ago
C:\Users\JoseAntonio\AppData\Local\Temp\humble8103148009760715820.dll: Can't load IA 32-bit .dll on a AMD 64-bit platform
via GitHub by ghost
, 2 years ago
/home/ec2-user/.rootbeer/cudaruntime_x64.so.1: /lib64/libc.so.6: version `GLIBC_2.14' not found (required by /home/ec2-user/.rootbeer/cudaruntime_x64.so.1)
via GitHub by RobzInadE
, 2 years ago
/mnt/nfs/conf/java/jdk1.8.0_40/jre/lib/amd64/libprism_sw.so: libgtk-x11-2.0.so.0: cannot open shared object file: No such file or directory
via GitHub by Barlog-M
, 2 years ago
/private/var/folders/2g/b56wdft17h1fx35rl6bbcml80000gn/T/librocksdbjni1975054551977281102..jnilib: dlopen(/private/var/folders/2g/b56wdft17h1fx35rl6bbcml80000gn/T/librocksdbjni1975054551977281102..jnilib, 1): Library not loaded: /usr/local/lib
via Stack Overflow by Yiheng Li
, 2 years ago
/tmp/libnetty-transport-native-epoll4216253360502585010.so: /lib64/libc.so.6: version `GLIBC_2.14' not found (required by /tmp/libnetty-transport-native-epoll4216253360502585010.so)
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(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.(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)