kaxil opened a new pull request #17760: URL: https://github.com/apache/airflow/pull/17760
This commit effectively revers https://github.com/apache/airflow/pull/15942 because of the issues it is causing. Until we find better solution we should revert this change Error: ``` [2021-07-26 20:23:54,109] {taskinstance.py:1108} INFO - Executing <Task(KubernetesPodOperator): write-xcom> on 2021-07-26T20:23:27.058907+00:00 [2021-07-26 20:23:54,113] {standard_task_runner.py:52} INFO - Started process 11 to run task [2021-07-26 20:23:54,297] {standard_task_runner.py:76} INFO - Running: ['airflow', 'tasks', 'run', 'k8_pod_operator_xcom', 'write-xcom', '2021-07-26T20:23:27.058907+00:00', '--job-id', '1757', '--pool', 'default_pool', '--raw', '--subdir', 'DAGS_FOLDER/k8s_xcom_example.py', '--cfg-path', '/tmp/tmp0q94pkhs', '--error-file', '/tmp/tmpoz9qqp2l'] [2021-07-26 20:23:54,298] {standard_task_runner.py:77} INFO - Job 1757: Subtask write-xcom [2021-07-26 20:23:54,511] {logging_mixin.py:104} INFO - Running <TaskInstance: k8_pod_operator_xcom.write-xcom 2021-07-26T20:23:27.058907+00:00 [running]> on host k8podoperatorxcomwritexcom.21384021df914227ad4e4b3a34313710 [2021-07-26 20:23:54,713] {taskinstance.py:1502} ERROR - Task failed with exception Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 1158, in _run_raw_task self._prepare_and_execute_task_with_callbacks(context, task) File "/usr/local/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 1295, in _prepare_and_execute_task_with_callbacks self.render_templates(context=context) File "/usr/local/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 1796, in render_templates self.task.render_template_fields(context) File "/usr/local/lib/python3.7/site-packages/airflow/models/baseoperator.py", line 999, in render_template_fields self._do_render_template_fields(self, self.template_fields, context, jinja_env, set()) File "/usr/local/lib/python3.7/site-packages/airflow/models/baseoperator.py", line 1012, in _do_render_template_fields rendered_content = self.render_template(content, context, jinja_env, seen_oids) File "/usr/local/lib/python3.7/site-packages/airflow/models/baseoperator.py", line 1063, in render_template return [self.render_template(element, context, jinja_env) for element in content] File "/usr/local/lib/python3.7/site-packages/airflow/models/baseoperator.py", line 1063, in <listcomp> return [self.render_template(element, context, jinja_env) for element in content] File "/usr/local/lib/python3.7/site-packages/airflow/models/baseoperator.py", line 1047, in render_template return jinja_env.get_template(content).render(**context) File "/usr/local/lib/python3.7/site-packages/jinja2/environment.py", line 883, in get_template return self._load_template(name, self.make_globals(globals)) File "/usr/local/lib/python3.7/site-packages/jinja2/environment.py", line 857, in _load_template template = self.loader.load(self, name, globals) File "/usr/local/lib/python3.7/site-packages/jinja2/loaders.py", line 115, in load source, filename, uptodate = self.get_source(environment, name) File "/usr/local/lib/python3.7/site-packages/jinja2/loaders.py", line 197, in get_source raise TemplateNotFound(template) jinja2.exceptions.TemplateNotFound: mkdir -p /airflow/xcom/;echo '[1,2,3,4]' > /airflow/xcom/return.json [2021-07-26 20:23:54,797] {taskinstance.py:1552} INFO - Marking task as FAILED. dag_id=k8_pod_operator_xcom, task_id=write-xcom, execution_date=20210726T202327, start_date=20210726T202353, end_date=20210726T202354 [2021-07-26 20:23:54,936] {local_task_job.py:153} INFO - Task exited with return code 1 ``` Dag: ``` from airflow import DAG from airflow.operators.bash import BashOperator from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import ( KubernetesPodOperator, ) from airflow.utils.dates import days_ago from airflow.configuration import conf namespace = conf.get("kubernetes", "NAMESPACE") # This will detect the default namespace locally and read the # environment namespace when deployed to Astronomer. if namespace == "default": config_file = "/usr/local/airflow/include/.kube/config" in_cluster = False else: in_cluster = True config_file = None default_args = { "owner": "airflow", } with DAG( dag_id="k8_pod_operator_xcom", default_args=default_args, schedule_interval=None, start_date=days_ago(2), tags=["k8"], ) as dag: write_xcom = KubernetesPodOperator( namespace=namespace, in_cluster=in_cluster, config_file=config_file, image="ubuntu", cmds=[ "sh", "-c", "mkdir -p /airflow/xcom/;echo '[1,2,3,4]' > /airflow/xcom/return.json", ], name="write-xcom", do_xcom_push=True, is_delete_operator_pod=True, task_id="write-xcom", get_logs=True, ) pod_task_xcom_result = BashOperator( bash_command="echo \"{{ task_instance.xcom_pull('write-xcom')[0] }}\"", task_id="pod_task_xcom_result", ) write_xcom >> pod_task_xcom_result ``` closes https://github.com/apache/airflow/issues/17186 <!-- Thank you for contributing! Please make sure that your code changes are covered with tests. And in case of new features or big changes remember to adjust the documentation. Feel free to ping committers for the review! In case of existing issue, reference it using one of the following: closes: #ISSUE related: #ISSUE How to write a good git commit message: http://chris.beams.io/posts/git-commit/ --> --- **^ Add meaningful description above** Read the **[Pull Request Guidelines](https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst#pull-request-guidelines)** for more information. In case of fundamental code change, Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in [UPDATING.md](https://github.com/apache/airflow/blob/main/UPDATING.md). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org