pyspark - AWS EMR spark: org.apache.hadoop.security.AccessControlException: Permission denied: user=livy, access=WRITE, inode="/":hdfs:hdfsadmingroup:drwxr-xr-x

Question

在 AWS EMR Spark PySpark 笔记本中对 kinesis df 执行 df.write.mode("append") 时出现以下错误。我们在哪里添加这些权限？

遇到错误：调用 o179.start 时出错。：org.apache.hadoop.security.AccessControlException：权限被拒绝：user=livy，access=WRITE，inode="/":hdfs:hdfsadmingroup:drwxr-xr-x at org.apache.hadoop.hdfs.server.namenode。 org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:251) 的 FSPermissionChecker.check(FSPermissionChecker.java:351) org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission( FSPermissionChecker.java:189) 在 org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1756) 在 org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java: 1740) 在 org.apache.hadoop.hdfs.server.namenode 的 org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:1699)。

at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:121)
at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:88)
at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2507)
at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:2480)
at org.apache.hadoop.hdfs.DistributedFileSystem$27.doCall(DistributedFileSystem.java:1243)
at org.apache.hadoop.hdfs.DistributedFileSystem$27.doCall(DistributedFileSystem.java:1240)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:1257)
at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:1232)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2269)
at org.apache.spark.sql.execution.streaming.StreamExecution.<init>(StreamExecution.scala:90)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.<init>(MicroBatchExecution.scala:48)
at org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:281)
at org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:322)
at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:297)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)

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