要将Airflow DAG的日志写入GCP Cloud Logging，需要进行以下步骤：

1. 安装Google Cloud Logging插件

   pip install apache-airflow[logging]
   

2. 配置GCP日志记录器，并将其添加到DAG配置中

   from airflow import DAG
   from airflow.providers.google.cloud.operators.logging import CloudLoggingCreateEmptyBucketOperator
   from airflow.utils.dates import days_ago
   
   default_arguments = {
       'start_date': days_ago(1)
   }
   
   with DAG(
       dag_id='example_dag',
       default_args=default_arguments,
       schedule_interval=None
   ) as dag:
   
       create_bucket = CloudLoggingCreateEmptyBucketOperator(
           task_id='create_bucket',
           bucket_name='my_custom_bucket'
       )
   

3. 配置GCP存储库，并将其添加到Airflow配置中

   from airflow.providers.google.cloud.hooks.gcs import GCSHook
   
   def log_to_gcs(message, gcs_bucket, gcs_object):
       hook = GCSHook()
       hook.upload(bucket_name=gcs_bucket, object_name=gcs_object, data=message)
   
   def my_task():
       message = "Hello, world!"
       gcs_bucket = "my_bucket"
       gcs_object = "my_object.log"
       log_to_gcs(message, gcs_bucket, gcs_object)
   

4. 运行DAG并查看日志是否写入GCP Cloud Logging。

通过这些步骤，就可以将Airflow DAG的日志写入GCP Cloud Logging。