气流无法使用GoogleCloud Operatos遍历xcom_pull列表

问题描述

我想动态获取gcs存储桶中的csv文件列表，然后将每个文件转储到相应的BQ表中。

I would like to dynamically get the list of csv files on gcs bucket and then dump each one to a corresponding BQ table.

我正在使用 GoogleCloudStorageListOperator 和 GoogleCloudStorageToBigQueryOperator 运算符

GCS_Files = GoogleCloudStorageListOperator(
                task_id='GCS_Files',
                bucket=cf.storage.import_bucket_name,
                prefix='20190701/',
                delimiter='.csv',
                dag=dag
            )

for idx, elem in enumerate(["{{ task_instance.xcom_pull(task_ids='GCS_Files') }}"]):
    storage_to_bigquery = GoogleCloudStorageToBigQueryOperator(
            task_id='storage_to_bigquery',
            bucket=cf.storage.import_bucket_name,
            create_disposition='CREATE_IF_NEEDED',
            autodetect=True,
            destination_project_dataset_table=f"{cf.project}.{cf.bigquery.core_dataset_name}.{idx}",
            skip_leading_rows=1,
            source_format='CSV',
            source_objects=[f'{elem}'],
            write_disposition='WRITE_TRUNCATE',
            dag=dag
            )

    storage_to_bigquery.set_upstream(GCS_Files)

但是该列表一次不能迭代一次，并抛出以下错误。

However the list fails to iterate one at a time throwing the below error.

googleapiclient.errors.HttpError: <HttpError 400 when requesting https://bigquery.googleapis.com/bigquery/v2/projects/my-project/jobs?alt=json returned "Source URI must not contain the ',' character: gs://mybucket/['20190701/file0.csv', '20190701/file1.csv', '20190701/file2.csv']">

有什么建议吗？

推荐答案

您不能在代码的任何地方调用宏。
这在您的代码中被视为一个字符串： {{task_instance.xcom_pull（task_ids ='GCS_Files'）}}
后来由Jinja2在gcp运算符中传递时进行了评估，因为您使用的是模板字段：

You cannot call macro from everywhere in your code.This is seen as a string in your code: "{{ task_instance.xcom_pull(task_ids='GCS_Files') }}"And later evaluated by Jinja2 when passed in the gcp operator because you are using a templated field: https://github.com/apache/airflow/blob/21a7e7ec67ac7a391d837aa7c13c0825683f1349/airflow/contrib/operators/gcs_to_bq.py#L140

要能够调用task_instance.xcom_pull，您需要具有上下文，该上下文只能存在于DAG运行中。当Airflow懒惰地评估DAG时，此功能不可用。

To be able to call task_instance.xcom_pull, you need to have a context, which can only exist in a DAG run. When Airflow lazily evaluates the DAG, this is not available.

在您的情况下，最好的方法是使用SubDAG来循环使用您的宏来生成操作符要循环的文件列表：

In your case, the best would be to use a SubDAG to loop over your Operator using the your macro to generate the list of file to loop over: https://airflow.apache.org/concepts.html#subdags

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