【发布时间】：2023-04-08 23:57:02
【问题描述】：
当我尝试调用时出现以下错误 我使用 python 客户端作为 spark。
lines = sc.textFile(hdfs://...)
lines.take(10)
我怀疑 spark 和 hadoop 版本可能不兼容。以下是hadoop版本的结果： Hadoop 2.5.2 颠覆https://git-wip-us.apache.org/repos/asf/hadoop.git -r cc72e9b000545b86b75a61f4835eb86d57bfafc0 詹金斯于 2014-11-14T23:45Z 编译 使用 protoc 2.5.0 编译 来自带有校验和 df7537a4faa4658983d397abf4514320 的源 该命令是使用 /etc/hadoop-2.5.2/share/hadoop/common/hadoop-common-2.5.2.jar 运行的
我也有 spark 1.3.1。
File "/etc/spark/python/pyspark/rdd.py", line 1194, in take
totalParts = self._jrdd.partitions().size()
File "/etc/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
File "/etc/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o21.partitions.
: java.lang.VerifyError: class org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$AppendRequestProto overrides final method getUnknownFields. ()Lcom/google/protobuf/UnknownFieldSet;
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClassCond(ClassLoader.java:631)
at java.lang.ClassLoader.defineClass(ClassLoader.java:615)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:141)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:283)
at java.net.URLClassLoader.access$000(URLClassLoader.java:58)
at java.net.URLClassLoader$1.run(URLClassLoader.java:197)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2436)
at java.lang.Class.privateGetPublicMethods(Class.java:2556)
at java.lang.Class.privateGetPublicMethods(Class.java:2566)
at java.lang.Class.getMethods(Class.java:1412)
at sun.misc.ProxyGenerator.generateClassFile(ProxyGenerator.java:409)
at sun.misc.ProxyGenerator.generateProxyClass(ProxyGenerator.java:306)
at java.lang.reflect.Proxy.getProxyClass0(Proxy.java:610)
at java.lang.reflect.Proxy.newProxyInstance(Proxy.java:690)
at org.apache.hadoop.ipc.ProtobufRpcEngine.getProxy(ProtobufRpcEngine.java:92)
at org.apache.hadoop.ipc.RPC.getProtocolProxy(RPC.java:537)
at org.apache.hadoop.hdfs.NameNodeProxies.createNNProxyWithClientProtocol(NameNodeProxies.java:366)
at org.apache.hadoop.hdfs.NameNodeProxies.createNonHAProxy(NameNodeProxies.java:262)
at org.apache.hadoop.hdfs.NameNodeProxies.createProxy(NameNodeProxies.java:153)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:602)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:547)
at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:139)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:89)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2625)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2607)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:368)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:256)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:64)
at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:46)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
我一直在寻找问题，有些人参考了protobuffer的版本，但我不太熟悉如何正确设置它。有什么想法吗？
【问题讨论】：
标签： python hadoop apache-spark