Mrjob无法在dataproc上创建集群:__init __得到了意外的关键字参数'channel'

问题描述

我正在尝试使用Python mrjob库在Google Cloud Dataproc上运行Hadoop Map Reduce字数统计示例。但是,mrjob失败,但出现以下异常:

TypeError: __init__() got an unexpected keyword argument 'channel'
Traceback (most recent call last):
  File "freq.py",line 21,in <module>
    MRWordFreqCount.run()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/job.py",line 616,in run
    cls().execute()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/job.py",line 687,in execute
    self.run_job()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/job.py",line 636,in run_job
    runner.run()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/runner.py",line 503,in run
    self._run()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/dataproc.py",line 468,in _run
    self._launch()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/dataproc.py",line 473,in _launch
    self._launch_cluster()
  File "/usr/local/lib/python3.8/dist-packages/mrjob/dataproc.py",line 637,in _launch_cluster
    self._get_cluster(self._cluster_id)
  File "/usr/local/lib/python3.8/dist-packages/mrjob/dataproc.py",line 1188,in _get_cluster
    return self.cluster_client.get_cluster(
  File "/usr/local/lib/python3.8/dist-packages/mrjob/dataproc.py",line 376,in cluster_client
    return google.cloud.dataproc_v1beta2.ClusterControllerClient(
TypeError: __init__() got an unexpected keyword argument 'channel'

我检查了GOOGLE_APPLICATION_CREDENTIALS的设置是否正确,是否在Google Cloud上启用了API,以及为该服务帐户设置了所有必需的角色。

mrjob成功将文件上传到Google Cloud Storage。但是一旦尝试创建新的Dataproc集群失败。

可能有什么错误吗?

在Dataproc上启动mrjob的命令行:

$ python3 freq.py -r dataproc words.txt

当前的Python环境:

$ python3 -VV
Python 3.8.5 (default,Jul 28 2020,12:59:40)
[GCC 9.3.0]

$ pip3 list | grep google
google-api-core          1.23.0
google-auth              1.23.0
google-auth-oauthlib     0.4.2
google-cloud-core        1.4.3
google-cloud-dataproc    2.0.2
google-cloud-logging     1.15.1
google-cloud-storage     1.32.0
google-crc32c            1.0.0
google-pasta             0.2.0
google-resumable-media   1.1.0
googleapis-common-protos 1.52.0

$ pip3 list | grep mrjob
mrjob                    0.7.4

解决方法

解决方案是将google-cloud-dataproc降级为1.1.1。

调试到mrjob实现后,我发现mrjob版本0.7.4使用自2.0.0版本以来在google-cloud-dataproc库上重命名的参数调用google.cloud.dataproc_v1beta2.ClusterControllerClient的构造函数。

如何使用pip3降级:

$ pip3 install --force-reinstall --no-deps google-cloud-dataproc==1.1.1