我在代码中使用了apachecommons lang3的serializationutils。 SerializationUtils.serialize()
将自定义类作为文件存储到磁盘和 SerializationUtils.deserialize(byte[])
重新恢复它们。
在本地环境(macos)中,所有序列化文件都可以正常反序列化,不会发生错误。但是,当我将这些序列化文件复制到hdfs中,并使用spark/scala从hdfs读取它们时,就会发生序列化异常。
apache commons lang3版本是:
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.9</version>
</dependency>
反序列化代码如下所示:
public static Block deserializeFrom(byte[] bytes) {
try {
Block b = SerializationUtils.deserialize(bytes);
System.out.println("b="+b);
return b;
} catch (ClassCastException e) {
System.out.println("ClassCastException");
e.printStackTrace();
} catch (IllegalArgumentException e) {
System.out.println("IllegalArgumentException");
e.printStackTrace();
} catch (SerializationException e) {
System.out.println("SerializationException");
e.printStackTrace();
}
return null;
}
Spark代码是:
val fis = spark.sparkContext.binaryFiles("/folder/abc*.file")
val RDD = fis.map(x => {
val content = x._2.toArray()
val b = Block.deserializeFrom(content)
...
}
以上代码均能在spark本地模式下成功运行,但在Yarn簇模式下运行时会出现错误。堆栈错误如下:
org.apache.commons.lang3.SerializationException: java.lang.ClassNotFoundException: com.XXXX.XXXX
at org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:227)
at org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:265)
at com.com.XXXX.XXXX.deserializeFrom(XXX.java:81)
at com.XXX.FFFF$$anonfun$3.apply(BXXXX.scala:157)
at com.XXX.FFFF$$anonfun$3.apply(BXXXX.scala:153)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at scala.collection.AbstractIterator.to(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:945)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:945)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: com.XXXX.XXXX
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:686)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1868)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1751)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2042)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:431)
at org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:223)
我已经检查了加载的字节[]的长度,来自本地和来自hdfs的长度都是相同的。但是为什么不能从hdfs反序列化呢?
暂无答案!
目前还没有任何答案,快来回答吧!