有人能告诉我如何使用Python(如策略变量(超时,重试等))在Azure数据工厂中设置Azure管道的一般功能吗?
请在你的python代码中添加 policy 参数:
policy
# Create a copy activity act_name = 'copyBlobtoBlob' blob_source = BlobSource() blob_sink = BlobSink() policy = {"timeout": "1.00:00:00", "concurrency": 1, "executionPriorityOrder": "NewestFirst", "style": "StartOfInterval", "retry": 3, "longRetry": 0, "longRetryInterval": "00:00:00"} copy_activity = CopyActivity(act_name, source=blob_source, sink=blob_sink, policy=policy) # Create a pipeline with the copy activity p_name = 'copyPipeline' params_for_pipeline = {} p_obj = PipelineResource(activities=[copy_activity], parameters=params_for_pipeline) p = adf_client.pipelines.create_or_update(rg_name, df_name, p_name, p_obj)
测试:
希望它能帮到你 .
1 回答
请在你的python代码中添加
policy
参数:测试:
希望它能帮到你 .