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ERROR lzo.GPLNativeCodeLoader: Could not load native gpl library

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Expert Contributor

All nodes we have lzo installed, and lzo is configured properly. Spark and mr jobs are running fine. But we are seeing exception while running spark job using java-action through oozie.

As it is not able to load hadoop-native lib, verified it is present in spark-default.conf. Even in jobs we are not using lzo compression, not sure why it is picking lzo?

spark.driver.extraLibraryPath=/usr/hdp/current/hadoop-client/lib/native:/usr/hdp/current/hadoop-client/lib/native/Linux-amd64-64
spark.executor.extraLibraryPath=/usr/hdp/current/hadoop-client/lib/native:/usr/hdp/current/hadoop-client/lib/native/Linux-amd64-64

Below is the exception in yarn application logs

ERROR lzo.GPLNativeCodeLoader: Could not load native gpl library
java.lang.UnsatisfiedLinkError: no gplcompression in java.library.path
        at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
        at java.lang.Runtime.loadLibrary0(Runtime.java:870)
        at java.lang.System.loadLibrary(System.java:1122)
        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:348)
        at org.apache.hadoop.conf.Configuration.getClassByNameOrNull(Configuration.java:2147)
        at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2112)
        at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:132)
        at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:179)
        at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
        at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:78)
        at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:136)
        at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:185)
        at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:234)
        at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:208)
        at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:275)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
        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)
ERROR lzo.LzoCodec: Cannot load native-lzo without native-hadoop
2 REPLIES 2

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@nyadav

Check if the Hadoop is able to pick the libraries using 'hadoop checknative'.

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Expert Contributor

@nyadav

Hi, we are having same issue ... even though by default gpl compression libraries are installed, still i am getting this error. please let me know what you did to resolve this.