As the javadocs for IllegalAccessError state, Normally, this error is caught by the compiler; this error can only occur at run time if the definition of a class has incompatibly changed.
2017-09-07 11:29 GMT+08:00 kylin_liu <[email protected]>: > 我架设了 KYLIN 最新版本的，sample 测试是可以正常使用spark。 > 我自己也创建了cube 也跑成功了一个，但是后面的建立的cube 就失败了，我从spark 的history 查看日志，错误如下 > java.lang.IllegalAccessError: tried to access class > org.apache.kylin.dimension.BooleanDimEnc$BooleanSerializer from class > org.apache.kylin.engine.spark.KylinKryoRegistrator > > java.lang.IllegalAccessError: tried to access class > org.apache.kylin.dimension.BooleanDimEnc$BooleanSerializer from class > org.apache.kylin.engine.spark.KylinKryoRegistrator > at > org.apache.kylin.engine.spark.KylinKryoRegistrator. > kylinClassByReflection1(KylinKryoRegistrator.java:173) > at > org.apache.kylin.engine.spark.KylinKryoRegistrator.registerClasses( > KylinKryoRegistrator.java:85) > at > org.apache.spark.serializer.KryoSerializer$$anonfun$newKryo$6.apply( > KryoSerializer.scala:134) > at > org.apache.spark.serializer.KryoSerializer$$anonfun$newKryo$6.apply( > KryoSerializer.scala:134) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized. > scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach( > ArrayOps.scala:186) > at > org.apache.spark.serializer.KryoSerializer.newKryo( > KryoSerializer.scala:134) > at > org.apache.spark.serializer.KryoSerializerInstance. > borrowKryo(KryoSerializer.scala:289) > at > org.apache.spark.serializer.KryoSerializerInstance.<init>( > KryoSerializer.scala:274) > at > org.apache.spark.serializer.KryoSerializer.newInstance( > KryoSerializer.scala:184) > at > org.apache.spark.broadcast.TorrentBroadcast$.unBlockifyObject( > TorrentBroadcast.scala:287) > at > org.apache.spark.broadcast.TorrentBroadcast$$anonfun$ > readBroadcastBlock$1.apply(TorrentBroadcast.scala:225) > at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1269) > at > org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock( > TorrentBroadcast.scala:206) > at > org.apache.spark.broadcast.TorrentBroadcast._value$ > lzycompute(TorrentBroadcast.scala:66) > at > org.apache.spark.broadcast.TorrentBroadcast._value( > TorrentBroadcast.scala:66) > at > org.apache.spark.broadcast.TorrentBroadcast.getValue( > TorrentBroadcast.scala:96) > at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:86) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run( > Executor.scala:322) > at > java.util.concurrent.ThreadPoolExecutor.runWorker( > ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run( > ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > 请问一下这个错误是 kylin 的配置问题呢 还是 spark 的问题，现在很迷惑。 > > 而且我用spark 执行成功的 cube ,spark 只能用 yarn+client ,用 yarn+clucter 失败 > 请指教，谢谢！！ > > -- > Sent from: http://apache-kylin.74782.x6.nabble.com/ >
