这是我正在尝试的:
import pyarrow as pa
conf = {"hadoop.security.authentication": "kerberos"}
fs = pa.hdfs.connect(kerb_ticket="/tmp/krb5cc_44444", extra_conf=conf)
但是,当我使用 Dask-YARN
将此作业提交到群集时,出现以下错误:
File "test/run.py", line 3
fs = pa.hdfs.connect(kerb_ticket="/tmp/krb5cc_44444", extra_conf=conf)
File "/opt/hadoop/data/10/hadoop/yarn/local/usercache/hdfsf6/appcache/application_1560931326013_183242/container_e47_1560931326013_183242_01_000003/environment/lib/python3.7/site-packages/pyarrow/hdfs.py", line 211, in connect
File "/opt/hadoop/data/10/hadoop/yarn/local/usercache/hdfsf6/appcache/application_1560931326013_183242/container_e47_1560931326013_183242_01_000003/environment/lib/python3.7/site-packages/pyarrow/hdfs.py", line 38, in __init__
File "pyarrow/io-hdfs.pxi", line 105, in pyarrow.lib.HadoopFileSystem._connect
File "pyarrow/error.pxi", line 83, in pyarrow.lib.check_status
pyarrow.lib.ArrowIOError: HDFS connection failed
我也尝试设置host (to a name node)
和port (=8020)
,但是我遇到了同样的错误。由于错误不是描述性的,因此我不确定需要更改哪个设置。有人有线索吗?
通常配置和 kerberos 票证是自动加载的,您应该能够使用
fs = pa.hdfs.connect()
独自。这确实要求您已经调用了kinit
(在工作节点上,凭据(但不是票证(会自动传输到工作线程环境,无需执行任何操作(。我建议尝试在本地不使用参数,然后在工作节点上尝试。