DataFlow 使用 Airflow DataflowHook.start_python_dataflow 失败并返回代码 1答案

【问题标题】：DataFlow failed with return code 1 with Airflow DataflowHook.start_python_dataflowDataFlow 使用 Airflow DataflowHook.start_python_dataflow 失败并返回代码 1
【发布时间】：2018-06-06 22:10:26
【问题描述】：

这是我下面的代码。

当我运行以下代码时，出现以下错误。我正在尝试使用 gcp-variant-transforms api 将我的谷歌云存储中的 gvcf/vcf 文件转换为 bigquery。

[2018-06-06 16:46:42,589] {models.py:1428} 信息 - 执行于 2018-06-06 21:46:34.252526 [2018-06-06 16:46:42,589] {base_task_runner.py:115} 信息 - 运行：['bash', '-c', u'airflow run GcsToBigQuery gcsToBigquery_ID 2018-06-06T21:46:34.252526 -- job_id 168 --raw -sd DAGS_FOLDER/GcsToBigQuery.py'] [2018-06-06 16:46:43,204] {base_task_runner.py:98} 信息 - 子任务：[2018-06-06 16:46:43,202] {init.py:45} 信息- 使用执行器 SequentialExecutor [2018-06-06 16:46:43,284] {base_task_runner.py:98} INFO - 子任务：[2018-06-06 16:46:43,283] {models.py:189} INFO - 从 / 填充 DagBag应用程序/气流/dags/GcsToBigQuery.py [2018-06-06 16:46:43,853] {base_task_runner.py:98} INFO - 子任务：[2018-06-06 16:46:43,852] {gcp_dataflow_hook.py:111} INFO - 开始等待 DataFlow 进程完全的。 [2018-06-06 16:46:46,931] {base_task_runner.py:98} 信息 - 子任务：[2018-06-06 16:46:46,930] {GcsToBigQuery.py:48} 错误 - 状态：失败：gcsToBigquery：无法运行：DataFlow 失败，返回码 1 [2018-06-06 16:46:46,931] {base_task_runner.py:98} 信息 - 子任务：[2018-06-06 16:46:46,930] {python_operator.py:90} 信息 - 完成。返回值为：无

请帮我解决这个问题。谢谢！

from datetime import datetime, timedelta
from airflow import DAG
from airflow.contrib.hooks.gcp_dataflow_hook import DataFlowHook
from airflow.operators.python_operator import PythonOperator
import logging

default_args = {
    'owner': 'My Name',
    'depends_on_past': False,
    'start_date': datetime(2018, 6, 6),
    'email': ['MY Email'],
    'email_on_failure': True,
    'email_on_retry': False,
    'retries': 2,
    'retry_delay': timedelta(minutes=5)
}

dag = DAG('GcsToBigQuery', default_args=default_args,
          description='To move GVCF/VCF files from Google Cloud Storage to Big Query',
          schedule_interval='@once',
          start_date=datetime(2018, 6, 6))

dataflow_py_file = 'gcp_variant_transforms.vcf_to_bq'
PY_OPTIONS = ['-m']

DATAFLOW_OPTIONS_PY = {
    "project": "project-Name",
    "input_pattern": "gs://test-gvcf/1000-genomes.vcf",
    "output_table": "trc-mayo-projectsample:1000genomicsID.1000_genomesSamp",
     "staging_location": "gs://test-gvcf/vcftobq/staging",
     "temp_location": "gs://test-gvcf/vcftobq/temp",
     "job_name": "dataflowstarter25",
     #"setup_file": "./setup.py",
     "runner": "DataflowRunner"
}


def gcsToBigquery():
    try:
        dataflowHook = DataFlowHook(gcp_conn_id='google_cloud_platform_id')
        dataflowHook.start_python_dataflow(task_id='dataflowStarter2_ID', variables=DATAFLOW_OPTIONS_PY,
                                       dataflow=dataflow_py_file, py_options=PY_OPTIONS)
    except Exception as e:
        logging.error("Status : FAIL : gcsToBigquery: Not able to run: " + str(e.message))

gcsToBigquery_task = PythonOperator(task_id='gcsToBigquery_ID',
                                    python_callable=gcsToBigquery,
                                    dag=dag)

【问题讨论】：

标签： python django google-cloud-platform

【解决方案1】：

可以通过使用DataflowPythonOperator 并在云实例中安装gcp_variant_transforms API 来避免此问题。

安装所需组件的命令：

sudo pip install git+https://github.com/googlegenomics/gcp-variant-transforms.git

如果有人也遇到此问题，您可以查看此post，其中详细说明了srikanth 成功执行代码所遵循的步骤。

【讨论】：