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This repository was archived by the owner on Feb 10, 2021. It is now read-only.
After HDFS wire encryption enabled on secure cluster, hdfs3 is not working #146
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Description
Team,
After we enabled HDFS wire encryption on secure cluster, hdfs3 cat/put commands are not working. hdfs3 ls commands. i.e. Basically any command that reads/write data from/into HDFS are failing.
Log:
>>> hdfs = HDFileSystem(host="myhadoop",pars={"dfs.nameservices": "myhadoop","dfs.ha.namenodes.myhadoop": "nn1,nn2","dfs.namenode.rpc-address.myhadoop.nn1": "nn1.example.com:8020","dfs.namenode.rpc-address.myhadoop.nn2": "nn2.example.com:8020","hadoop.security.authentication": "kerberos"})
>>> hdfs.ls("/user/prabhu/examples/pi.py");
[{'block_size': 268435456, 'size': 1412, 'permissions': 493, 'replication': 3, 'name': '/user/prabhu/examples/pi.py/', 'group': 'hdfs', 'kind': 'file', 'last_mod': 1497747805, 'owner': 'prabhu', 'last_access': 1512156876}]
>>> hdfs.cat("/user/prabhu/examples/pi.py");
2017-12-01 11:36:28.999667, p10629, th139720396728064, ERROR cannot setup block reader for Block: [block pool ID: BP-220915007-10.1.1.228-1495762903442 block ID 1074465167_724376] file /user/prabhu/examples/pi.py on Datanode: dn0055.example.com(10.1.1.77).
TcpSocket.cpp: 75: HdfsNetworkException: Read 8 bytes failed from "10.1.1.77:1019": (errno: 104) Connection reset by peer
@ Hdfs::Internal::TcpSocketImpl::read(char*, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int)
@ Hdfs::Internal::RemoteBlockReader::checkResponse()
@ Hdfs::Internal::RemoteBlockReader::RemoteBlockReader(Hdfs::Internal::ExtendedBlock const&, Hdfs::Internal::DatanodeInfo&, Hdfs::Internal::PeerCache&, long, long, Hdfs::Internal::Token const&, char const*, bool, Hdfs::Internal::SessionConfig&)
@ Hdfs::Internal::InputStreamImpl::setupBlockReader(bool)
@ Hdfs::Internal::InputStreamImpl::readOneBlock(char*, int, bool)
@ Hdfs::Internal::InputStreamImpl::readInternal(char*, int)
@ Hdfs::Internal::InputStreamImpl::read(char*, int)
@ hdfsRead
@ ffi_call_unix64
@ ffi_call
@ _ctypes_callproc
@ PyCFuncPtr_call
@ PyObject_Call
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalCodeEx
@ PyEval_EvalCode
@ PyRun_InteractiveOneObject
@ PyRun_InteractiveLoopFlags
@ PyRun_AnyFileExFlags
@ Py_Main
@ main
@ __libc_start_main
@ Unknown
retry another node
2017-12-01 11:36:29.073274, p10629, th139720396728064, ERROR cannot setup block reader for Block: [block pool ID: BP-220915007-10.1.1.228-1495762903442 block ID 1074465167_724376] file /user/prabhu/examples/pi.py on Datanode: dn0010.example.com(10.1.1.20).
TcpSocket.cpp: 75: HdfsNetworkException: Read 8 bytes failed from "10.1.1.20:1019": (errno: 104) Connection reset by peer
@ Hdfs::Internal::TcpSocketImpl::read(char*, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int)
@ Hdfs::Internal::RemoteBlockReader::checkResponse()
@ Hdfs::Internal::RemoteBlockReader::RemoteBlockReader(Hdfs::Internal::ExtendedBlock const&, Hdfs::Internal::DatanodeInfo&, Hdfs::Internal::PeerCache&, long, long, Hdfs::Internal::Token const&, char const*, bool, Hdfs::Internal::SessionConfig&)
@ Hdfs::Internal::InputStreamImpl::setupBlockReader(bool)
@ Hdfs::Internal::InputStreamImpl::readOneBlock(char*, int, bool)
@ Hdfs::Internal::InputStreamImpl::readInternal(char*, int)
@ Hdfs::Internal::InputStreamImpl::read(char*, int)
@ hdfsRead
@ ffi_call_unix64
@ ffi_call
@ _ctypes_callproc
@ PyCFuncPtr_call
@ PyObject_Call
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalCodeEx
@ PyEval_EvalCode
@ PyRun_InteractiveOneObject
@ PyRun_InteractiveLoopFlags
@ PyRun_AnyFileExFlags
@ Py_Main
@ main
@ __libc_start_main
@ Unknown
retry another node
2017-12-01 11:36:29.130773, p10629, th139720396728064, ERROR cannot setup block reader for Block: [block pool ID: BP-220915007-10.1.1.228-1495762903442 block ID 1074465167_724376] file /user/prabhu/examples/pi.py on Datanode: dn0028.example.com(10.1.1.38).
TcpSocket.cpp: 75: HdfsNetworkException: Read 8 bytes failed from "10.1.1.38:1019": (errno: 104) Connection reset by peer
@ Hdfs::Internal::TcpSocketImpl::read(char*, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int, int)
@ Hdfs::Internal::BufferedSocketReaderImpl::readVarint32(int)
@ Hdfs::Internal::RemoteBlockReader::checkResponse()
@ Hdfs::Internal::RemoteBlockReader::RemoteBlockReader(Hdfs::Internal::ExtendedBlock const&, Hdfs::Internal::DatanodeInfo&, Hdfs::Internal::PeerCache&, long, long, Hdfs::Internal::Token const&, char const*, bool, Hdfs::Internal::SessionConfig&)
@ Hdfs::Internal::InputStreamImpl::setupBlockReader(bool)
@ Hdfs::Internal::InputStreamImpl::readOneBlock(char*, int, bool)
@ Hdfs::Internal::InputStreamImpl::readInternal(char*, int)
@ Hdfs::Internal::InputStreamImpl::read(char*, int)
@ hdfsRead
@ ffi_call_unix64
@ ffi_call
@ _ctypes_callproc
@ PyCFuncPtr_call
@ PyObject_Call
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalFrameEx
@ PyEval_EvalFrameEx
@ _PyEval_EvalCodeWithName
@ PyEval_EvalCodeEx
@ PyEval_EvalCode
@ PyRun_InteractiveOneObject
@ PyRun_InteractiveLoopFlags
@ PyRun_AnyFileExFlags
@ Py_Main
@ main
@ __libc_start_main
@ Unknown
.....
.....
.....
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/lib/python3.5/site-packages/hdfs3/core.py", line 475, in cat
result = f.read()
File "/opt/anaconda3/lib/python3.5/site-packages/hdfs3/core.py", line 633, in read
out = self.read(2**16)
File "/opt/anaconda3/lib/python3.5/site-packages/hdfs3/core.py", line 649, in read
raise IOError('Read file %s Failed:' % self.path, -ret)
OSError: [Errno Read file /user/prabhu/examples/pi.py Failed:] 1
>>>
Can you let me know whether HDF3 support wire encryption? or, Am I missing any configuration?
Please let me know.
Thanks
Prabhu
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