Airflow：ValueError：无法配置处理程序“处理器” - wasb 记录器

问题描述 投票：0回答：4

我正在尝试使用 Azure blob 配置远程日志记录。

Airflow version: 1.10.2
Python: 3.6.5
Ubuntu: 18.04

以下是我所做的步骤：

  1. 在 $AIRFLOW_HOME/config/log_config.py 中，我放置了 REMOTE_BASE_LOG_FOLDER = 'wasb-airflow-logs' （这是容器内的文件夹（容器名称：airflow-logs））
  2. 空 init.py 位于 $AIRFLOW_HOME/config/
  3. $AIRFLOW_HOME/config/ 添加到 $PYTHONPATH
  4. 将 $AIRFLOW_HOME/config/log_config.py 中的 DEFAULT_LOGGING_CONFIG 重命名为 LOGGING CONFIG
  5. Airflow blob 连接中定义的用户具有对 REMOTE_BASE_LOG_FOLDER 的读/写访问权限
  6. $AIRFLOW_HOME/airflow.cfg 它有remote_logging = True logging_config_class = log_config.LOGGING_CONFIG 远程日志连接 ID =

错误如下：

Unable to load the config, contains a configuration error.
Traceback (most recent call last):
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 382, in resolve
    found = getattr(found, frag)
AttributeError: module 'airflow.utils.log' has no attribute 'wasb_task_handler'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 384, in resolve
    self.importer(used)
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/utils/log/wasb_task_handler.py", line 23, in <module>
    from airflow.contrib.hooks.wasb_hook import WasbHook
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/contrib/hooks/wasb_hook.py", line 22, in <module>
    from airflow.hooks.base_hook import BaseHook
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/hooks/base_hook.py", line 28, in <module>
    from airflow.models import Connection
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/models.py", line 86, in <module>
    from airflow.utils.dag_processing import list_py_file_paths
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/utils/dag_processing.py", line 49, in <module>
    from airflow.settings import logging_class_path
ImportError: cannot import name 'logging_class_path'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 558, in configure
    handler = self.configure_handler(handlers[name])
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 708, in configure_handler
    klass = self.resolve(cname)
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 391, in resolve
    raise v
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 384, in resolve
    self.importer(used)
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/utils/log/wasb_task_handler.py", line 23, in <module>
    from airflow.contrib.hooks.wasb_hook import WasbHook
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/contrib/hooks/wasb_hook.py", line 22, in <module>
    from airflow.hooks.base_hook import BaseHook
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/hooks/base_hook.py", line 28, in <module>
    from airflow.models import Connection
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/models.py", line 86, in <module>
    from airflow.utils.dag_processing import list_py_file_paths
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/utils/dag_processing.py", line 49, in <module>
    from airflow.settings import logging_class_path
ValueError: Cannot resolve 'airflow.utils.log.wasb_task_handler.WasbTaskHandler': cannot import name 'logging_class_path'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/gsingh/venv/bin/airflow", line 21, in <module>
    from airflow import configuration
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/__init__.py", line 36, in <module>
    from airflow import settings, configuration as conf
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/settings.py", line 262, in <module>
    logging_class_path = configure_logging()
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/logging_config.py", line 73, in configure_logging
    raise e
  File "/home/gsingh/venv/lib/python3.6/site-packages/airflow/logging_config.py", line 68, in configure_logging
    dictConfig(logging_config)
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 795, in dictConfig
    dictConfigClass(config).configure()
  File "/home/gsingh/anaconda3/lib/python3.6/logging/config.py", line 566, in configure
    '%r: %s' % (name, e))
ValueError: Unable to configure handler 'processor': Cannot resolve 'airflow.utils.log.wasb_task_handler.WasbTaskHandler': cannot import name 'logging_class_path'

我不确定我缺少哪个配置。有人遇到同样的问题吗

airflow airflow-scheduler
4个回答
10
投票

我遇到了同样的错误，但是如果我向上滚动，我可以看到在 ValueError 之前抛出了另一个异常。这是一个 PermissionError。

PermissionError: [Errno 13] Permission denied: '/usr/local/airflow/logs/scheduler'

我收到该错误的原因是因为我在运行 Airflow docker 容器之前没有创建最初的 3 个文件夹（dags、logs、plugins）。所以docker似乎已经自动创建了，但是权限是错误的。

修复步骤：

  1. 停止当前容器
docker-compose down --volumes --remove-orphans
  1. 删除文件夹 dags、logs、plugins
  2. 以防万一，销毁已经创建的镜像和卷（在 Docker Desktop 中）
  3. 从命令行再次创建文件夹
mkdir logs dags plugins
  1. 再次运行气流泊坞窗
docker-compose up airflow-init
docker-compose up
5
投票

sudo chown 50000:0 dags logs plugins
就我而言。

我尝试使用所有这些容器（依赖于这 3 个卷转发）运行官方 

docker-compose.yml
，或者简单地将 
airflow standalone
包装到单个容器中以进行调试。事实证明，卷是使用 root 所有权而不是气流创建的。

3
投票

您需要安装azure包。

pip install 'apache-airflow[azure_blob_storage,azure_data_lake,azure_cosmos,azure_container_instances]

根据 updating.md

现在应该安装

pip install apache-airflow[azure]

但这对我不起作用。

0
投票

对于 Linux 以外的操作系统，您可能会收到未设置 AIRFLOW_UID 的警告，但您可以安全地忽略它。您还可以在与 docker-compose.yaml 相同的文件夹中手动创建一个包含以下内容的 .env 文件，以消除警告：

AIRFLOW_UID=50000

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