当尝试将 Airflow 的模板功能(通过 Jinja2)与 PostgresOperator 结合使用时，我一直无法渲染。很可能我做错了什么，但我对问题可能是什么一无所知。下面是重现我遇到的 TemplateNotFound 错误的示例:

airflow.cfg

airflow_home = /home/gregreda/airflow
dags_folder = /home/gregreda/airflow/dags

相关DAG和变量

default_args = {
    'owner': 'gregreda',
    'start_date': datetime(2016, 6, 1),
    'schedule_interval': None,
    'depends_on_past': False,
    'retries': 3,
    'retry_delay': timedelta(minutes=5)
}

this_dag_path = '/home/gregreda/airflow/dags/example_csv_to_redshift'
dag = DAG(
    dag_id='example_csv_to_redshift',
    schedule_interval=None,
    default_args=default_args
)

/example_csv_to_redshift/csv_to_redshift.py

copy_s3_to_redshift = PostgresOperator(
    task_id='load_table',
    sql=this_dag_path + '/copy_to_redshift.sql',
    params=dict(
        AWS_ACCESS_KEY_ID=Variable.get('AWS_ACCESS_KEY_ID'),
        AWS_SECRET_ACCESS_KEY=Variable.get('AWS_SECRET_ACCESS_KEY')
    ),
    postgres_conn_id='postgres_redshift',
    autocommit=False,
    dag=dag
)

/example_csv_to_redshift/copy_to_redshift.sql

COPY public.table_foobar FROM 's3://mybucket/test-data/import/foobar.csv'
CREDENTIALS 'aws_access_key_id={{ AWS_ACCESS_KEY_ID }};aws_secret_access_key={{ AWS_SECRET_ACCESS_KEY }}'
CSV
NULL as 'null'
IGNOREHEADER as 1;

调用 airflow render example_csv_to_redshift load_table 2016-06-14 抛出以下异常。请注意，对于另一个 DAG，我也遇到了这个问题，这就是为什么您会看到提到了 example_redshift_query_to_csv 的路径。

[2016-06-14 21:24:57,484] {__init__.py:36} INFO - Using executor SequentialExecutor
[2016-06-14 21:24:57,565] {driver.py:120} INFO - Generating grammar tables from /usr/lib/python2.7/lib2to3/Grammar.txt
[2016-06-14 21:24:57,596] {driver.py:120} INFO - Generating grammar tables from /usr/lib/python2.7/lib2to3/PatternGrammar.txt
[2016-06-14 21:24:57,763] {models.py:154} INFO - Filling up the DagBag from /home/gregreda/airflow/dags
[2016-06-14 21:24:57,828] {models.py:2040} ERROR - /home/gregreda/airflow/dags/example_redshift_query_to_csv/export_query_to_s3.sql
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 2038, in resolve_template_files
    setattr(self, attr, env.loader.get_source(env, content)[0])
  File "/usr/local/lib/python2.7/dist-packages/jinja2/loaders.py", line 187, in get_source
    raise TemplateNotFound(template)
TemplateNotFound: /home/gregreda/airflow/dags/example_redshift_query_to_csv/export_query_to_s3.sql
[2016-06-14 21:24:57,834] {models.py:2040} ERROR - /home/gregreda/airflow/dags/example_csv_to_redshift/copy_to_redshift.sql
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 2038, in resolve_template_files
    setattr(self, attr, env.loader.get_source(env, content)[0])
  File "/usr/local/lib/python2.7/dist-packages/jinja2/loaders.py", line 187, in get_source
    raise TemplateNotFound(template)
TemplateNotFound: /home/gregreda/airflow/dags/example_csv_to_redshift/copy_to_redshift.sql
Traceback (most recent call last):
  File "/usr/local/bin/airflow", line 15, in <module>
    args.func(args)
  File "/usr/local/lib/python2.7/dist-packages/airflow/bin/cli.py", line 359, in render
    ti.render_templates()
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 1409, in render_templates
    rendered_content = rt(attr, content, jinja_context)
  File "/usr/local/lib/python2.7/dist-packages/airflow/models.py", line 2017, in render_template
    return jinja_env.get_template(content).render(**context)
  File "/usr/local/lib/python2.7/dist-packages/jinja2/environment.py", line 812, in get_template
    return self._load_template(name, self.make_globals(globals))
  File "/usr/local/lib/python2.7/dist-packages/jinja2/environment.py", line 774, in _load_template
    cache_key = self.loader.get_source(self, name)[1]
  File "/usr/local/lib/python2.7/dist-packages/jinja2/loaders.py", line 187, in get_source
    raise TemplateNotFound(template)
jinja2.exceptions.TemplateNotFound: /home/gregreda/airflow/dags/example_csv_to_redshift/copy_to_redshift.sql

非常感谢任何关于修复的想法。

最佳答案

要获得更多控制，请使用 template_searchpath 参数实例化您的 DAG，然后只需在运算符中使用文件名即可。

:param template_searchpath: This list of folders (non relative)
    defines where jinja will look for your templates. Order matters.
    Note that jinja/airflow includes the path of your DAG file by
    default
:type template_searchpath: string or list of stings

正如@yannicksse 所建议的那样，将这种做法应用到您的原始 dag 中将如下所示:

dag = DAG(
    dag_id='example_csv_to_redshift',
    schedule_interval=None,
    template_searchpath=[this_dag_path]  # here
    default_args=default_args
)

copy_s3_to_redshift = PostgresOperator(
    task_id='load_table',
    sql='copy_to_redshift.sql',  # and here
    params=dict(
        AWS_ACCESS_KEY_ID=Variable.get('AWS_ACCESS_KEY_ID'),
        AWS_SECRET_ACCESS_KEY=Variable.get('AWS_SECRET_ACCESS_KEY')
    ),
    postgres_conn_id='postgres_redshift',
    autocommit=False,
    dag=dag
)

尽管就我个人而言，我会将所有模板放在一个子文件夹中

关于python - 将 Airflow 的 PostgresOperator 与 Jinja 模板和 SQL 一起使用时出现 TemplateNotFound，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/37822380/