rcheatham-q opened a new issue, #42920: URL: https://github.com/apache/airflow/issues/42920
### Apache Airflow version 2.10.2 ### If "Other Airflow 2 version" selected, which one? _No response_ ### What happened? When viewing the logs of a running task in the UI of an airflow standalone instance, the logs do not show. The output of the standalone command shows a lot of SIGSEGV signals being sent to the worker. Once the task completed, the SIGSEGV signals stopped and everything functioned normally, including viewing logs.  ### What you think should happen instead? When viewing the logs for a running task in the UI of an Airflow instance run with `airflow standalone`, the logs are shown. ### How to reproduce Initialize a new Airflow environment using the following commands: ```bash python3.10 -m venv venv source venv/bin/activate pip install apache-airflow==2.10.2 AIRFLOW_HOME=$(pwd)/.airflow venv/bin/airflow standalone ``` Modify the file ./venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py to include some code that takes a while to complete. I have tried both sleeping using the `sleep` function in the `time` package, and logging thousands of lines in a loop and both caused the issue. Trigger the DAG and view the logs for the modified task. ### Operating System OSX ### Versions of Apache Airflow Providers None ### Deployment Virtualenv installation ### Deployment details _No response_ ### Anything else? <details><summary>standalone.log</summary> <pre> ❯ AIRFLOW_HOME=$(pwd)/.airflow venv/bin/airflow standalone standalone | Starting Airflow Standalone standalone | Checking database is initialized INFO [alembic.runtime.migration] Context impl SQLiteImpl. INFO [alembic.runtime.migration] Will assume non-transactional DDL. INFO [alembic.runtime.migration] Context impl SQLiteImpl. INFO [alembic.runtime.migration] Will assume non-transactional DDL. WARNI [airflow.models.crypto] empty cryptography key - values will not be stored encrypted. standalone | Database ready /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/flask_limiter/extension.py:333 UserWarning: Using the in-memory storage for tracking rate limits as no storage was explicitly specified. This is not recommended for production use. See: https://flask-limiter.readthedocs.io#configuring-a-storage-backend for documentation about configuring the storage backend. WARNI [airflow.example_dags.plugins.workday] Could not import pandas. Holidays will not be considered. triggerer | ____________ _____________ triggerer | ____ |__( )_________ __/__ /________ __ triggerer | ____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / / triggerer | ___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ / triggerer | _/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/ triggerer | [2024-10-10T15:23:44.871-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. triggerer | [2024-10-10T15:23:44.873-0600] {triggerer_job_runner.py:181} INFO - Setting up TriggererHandlerWrapper with handler <FileTaskHandler (NOTSET)> triggerer | [2024-10-10T15:23:44.873-0600] {triggerer_job_runner.py:237} INFO - Setting up logging queue listener with handlers [<RedirectStdHandler <stdout> (NOTSET)>, <TriggererHandlerWrapper (NOTSET)>] triggerer | [2024-10-10T15:23:44.876-0600] {triggerer_job_runner.py:338} INFO - Starting the triggerer scheduler | ____________ _____________ scheduler | ____ |__( )_________ __/__ /________ __ scheduler | ____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / / scheduler | ___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ / scheduler | _/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/ scheduler | [2024-10-10T15:23:44.972-0600] {_client.py:1038} INFO - HTTP Request: GET https://apacheairflow.gateway.scarf.sh/scheduler?version=2.10.2&python_version=3.10&platform=Darwin&arch=arm64&database=sqlite&db_version=3.46&executor=SequentialExecutor "HTTP/1.1 200 OK" scheduler | [2024-10-10T15:23:45.010-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:23:45.011-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor scheduler | [2024-10-10T15:23:45.061-0600] {scheduler_job_runner.py:935} INFO - Starting the scheduler scheduler | [2024-10-10T15:23:45.062-0600] {scheduler_job_runner.py:942} INFO - Processing each file at most -1 times scheduler | [2024-10-10T15:23:45.065-0600] {manager.py:174} INFO - Launched DagFileProcessorManager with pid: 90224 scheduler | [2024-10-10T15:23:45.066-0600] {scheduler_job_runner.py:1847} INFO - Adopting or resetting orphaned tasks for active dag runs triggerer | [2024-10-10 15:23:45 -0600] [90221] [INFO] Starting gunicorn 23.0.0 triggerer | [2024-10-10 15:23:45 -0600] [90221] [INFO] Listening at: http://[::]:8794 (90221) triggerer | [2024-10-10 15:23:45 -0600] [90221] [INFO] Using worker: sync triggerer | [2024-10-10 15:23:45 -0600] [90225] [INFO] Booting worker with pid: 90225 triggerer | [2024-10-10 15:23:45 -0600] [90226] [INFO] Booting worker with pid: 90226 webserver | /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/flask_limiter/extension.py:333 UserWarning: Using the in-memory storage for tracking rate limits as no storage was explicitly specified. This is not recommended for production use. See: https://flask-limiter.readthedocs.io#configuring-a-storage-backend for documentation about configuring the storage backend. scheduler | [2024-10-10 15:23:45 -0600] [90223] [INFO] Starting gunicorn 23.0.0 scheduler | [2024-10-10 15:23:45 -0600] [90223] [INFO] Listening at: http://[::]:8793 (90223) scheduler | [2024-10-10 15:23:45 -0600] [90223] [INFO] Using worker: sync scheduler | [2024-10-10 15:23:45 -0600] [90227] [INFO] Booting worker with pid: 90227 scheduler | [2024-10-10T15:23:45.798-0600] {settings.py:63} INFO - Configured default timezone UTC scheduler | [2024-10-10 15:23:45 -0600] [90228] [INFO] Booting worker with pid: 90228 scheduler | [2024-10-10T15:23:45.806-0600] {manager.py:406} WARNING - Because we cannot use more than 1 thread (parsing_processes = 2) when using sqlite. So we set parallelism to 1. webserver | [2024-10-10T15:23:46.003-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. webserver | /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/providers/fab/auth_manager/fab_auth_manager.py:547 FutureWarning: section/key [webserver/update_fab_perms] has been deprecated, you should use[fab/update_fab_perms] instead. Please update your `conf.get*` call to use the new name webserver | [2024-10-10 15:23:46 -0600] [90219] [INFO] Starting gunicorn 23.0.0 webserver | [2024-10-10 15:23:46 -0600] [90219] [INFO] Listening at: http://0.0.0.0:8080 (90219) webserver | [2024-10-10 15:23:46 -0600] [90219] [INFO] Using worker: sync webserver | [2024-10-10 15:23:46 -0600] [90230] [INFO] Booting worker with pid: 90230 webserver | [2024-10-10 15:23:46 -0600] [90231] [INFO] Booting worker with pid: 90231 webserver | [2024-10-10 15:23:46 -0600] [90232] [INFO] Booting worker with pid: 90232 webserver | [2024-10-10 15:23:46 -0600] [90233] [INFO] Booting worker with pid: 90233 standalone | Airflow is ready standalone | Login with username: admin password: [REDACTED] standalone | Airflow Standalone is for development purposes only. Do not use this in production! webserver | 127.0.0.1 - - [10/Oct/2024:15:23:51 -0600] "GET /dags/tutorial_taskflow_api/grid HTTP/1.1" 200 9755 "http://localhost:8080/home?status=active"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:51 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 3222 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:51 -0600] "GET /object/next_run_datasets/tutorial_taskflow_api HTTP/1.1" 200 39 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:51 -0600] "GET /api/v1/dags/tutorial_taskflow_api HTTP/1.1" 200 1189 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:51 -0600] "GET /api/v1/dags/tutorial_taskflow_api/details HTTP/1.1" 200 1962 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:55 -0600] "POST /dags/tutorial_taskflow_api/trigger?origin=%2Fdags%2Ftutorial_taskflow_api%2Fgrid HTTP/1.1" 302 413 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:55 -0600] "GET /dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00 HTTP/1.1" 200 9885 "http://localhost:8080/dags/tutorial_taskflow_api/grid"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:55 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4159 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:55 -0600] "GET /object/next_run_datasets/tutorial_taskflow_api HTTP/1.1" 200 39 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:57 -0600] "GET /api/v1/dags/tutorial_taskflow_api/tasks/transform HTTP/1.1" 200 1116 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:57 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 751 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:23:57 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform/dependencies HTTP/1.1" 200 608 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | Dag run in running state scheduler | Dag information Queued at: 2024-10-10 21:23:55.333863+00:00 hash info: 38e56a72b18ab9d01e9f2f0cd6695560 scheduler | [2024-10-10T15:23:57.796-0600] {scheduler_job_runner.py:423} INFO - 1 tasks up for execution: scheduler | <TaskInstance: tutorial_taskflow_api.extract manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:23:57.797-0600] {scheduler_job_runner.py:495} INFO - DAG tutorial_taskflow_api has 0/16 running and queued tasks scheduler | [2024-10-10T15:23:57.797-0600] {scheduler_job_runner.py:634} INFO - Setting the following tasks to queued state: scheduler | <TaskInstance: tutorial_taskflow_api.extract manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:23:57.798-0600] {scheduler_job_runner.py:736} INFO - Trying to enqueue tasks: [<TaskInstance: tutorial_taskflow_api.extract manual__2024-10-10T21:23:55.317397+00:00 [scheduled]>] for executor: SequentialExecutor(parallelism=32) scheduler | [2024-10-10T15:23:57.798-0600] {scheduler_job_runner.py:680} INFO - Sending TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='extract', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) to SequentialExecutor with priority 3 and queue default scheduler | [2024-10-10T15:23:57.798-0600] {base_executor.py:168} INFO - Adding to queue: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'extract', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] scheduler | [2024-10-10T15:23:57.799-0600] {sequential_executor.py:84} INFO - Executing command: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'extract', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] scheduler | [2024-10-10T15:23:58.459-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:23:58.463-0600] {dagbag.py:588} INFO - Filling up the DagBag from /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py scheduler | [2024-10-10T15:23:58.491-0600] {example_local_kubernetes_executor.py:40} WARNING - Could not import DAGs in example_local_kubernetes_executor.py scheduler | Traceback (most recent call last): scheduler | File "/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/example_local_kubernetes_executor.py", line 38, in <module> scheduler | from kubernetes.client import models as k8s scheduler | ModuleNotFoundError: No module named 'kubernetes' scheduler | [2024-10-10T15:23:58.492-0600] {example_local_kubernetes_executor.py:41} WARNING - Install Kubernetes dependencies with: pip install apache-airflow[cncf.kubernetes] webserver | 127.0.0.1 - - [10/Oct/2024:15:23:58 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4254 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | [2024-10-10T15:23:58.636-0600] {example_kubernetes_executor.py:39} WARNING - The example_kubernetes_executor example DAG requires the kubernetes provider. Please install it with: pip install apache-airflow[cncf.kubernetes] scheduler | [2024-10-10T15:23:58.654-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:23:58.669-0600] {task_command.py:467} INFO - Running <TaskInstance: tutorial_taskflow_api.extract manual__2024-10-10T21:23:55.317397+00:00 [queued]> on host Q-QKQT6Y31P2-rcheatham webserver | 127.0.0.1 - - [10/Oct/2024:15:23:58 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform/logs/1?full_content=false HTTP/1.1" 200 2 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | [2024-10-10T15:23:58.975-0600] {scheduler_job_runner.py:764} INFO - Received executor event with state success for task instance TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='extract', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) scheduler | [2024-10-10T15:23:58.980-0600] {scheduler_job_runner.py:801} INFO - TaskInstance Finished: dag_id=tutorial_taskflow_api, task_id=extract, run_id=manual__2024-10-10T21:23:55.317397+00:00, map_index=-1, run_start_date=2024-10-10 21:23:58.727434+00:00, run_end_date=2024-10-10 21:23:58.804088+00:00, run_duration=0.076654, state=success, executor=SequentialExecutor(parallelism=32), executor_state=success, try_number=1, max_tries=0, job_id=17, pool=default_pool, queue=default, priority_weight=3, operator=_PythonDecoratedOperator, queued_dttm=2024-10-10 21:23:57.797448+00:00, queued_by_job_id=16, pid=90241 scheduler | [2024-10-10T15:23:59.765-0600] {scheduler_job_runner.py:423} INFO - 1 tasks up for execution: scheduler | <TaskInstance: tutorial_taskflow_api.transform manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:23:59.765-0600] {scheduler_job_runner.py:495} INFO - DAG tutorial_taskflow_api has 0/16 running and queued tasks scheduler | [2024-10-10T15:23:59.765-0600] {scheduler_job_runner.py:634} INFO - Setting the following tasks to queued state: scheduler | <TaskInstance: tutorial_taskflow_api.transform manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:23:59.766-0600] {scheduler_job_runner.py:736} INFO - Trying to enqueue tasks: [<TaskInstance: tutorial_taskflow_api.transform manual__2024-10-10T21:23:55.317397+00:00 [scheduled]>] for executor: SequentialExecutor(parallelism=32) scheduler | [2024-10-10T15:23:59.766-0600] {scheduler_job_runner.py:680} INFO - Sending TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='transform', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) to SequentialExecutor with priority 2 and queue default scheduler | [2024-10-10T15:23:59.766-0600] {base_executor.py:168} INFO - Adding to queue: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'transform', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] scheduler | [2024-10-10T15:23:59.767-0600] {sequential_executor.py:84} INFO - Executing command: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'transform', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] scheduler | [2024-10-10T15:24:00.435-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:24:00.440-0600] {dagbag.py:588} INFO - Filling up the DagBag from /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py scheduler | [2024-10-10T15:24:00.468-0600] {example_local_kubernetes_executor.py:40} WARNING - Could not import DAGs in example_local_kubernetes_executor.py scheduler | Traceback (most recent call last): scheduler | File "/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/example_local_kubernetes_executor.py", line 38, in <module> scheduler | from kubernetes.client import models as k8s scheduler | ModuleNotFoundError: No module named 'kubernetes' scheduler | [2024-10-10T15:24:00.468-0600] {example_local_kubernetes_executor.py:41} WARNING - Install Kubernetes dependencies with: pip install apache-airflow[cncf.kubernetes] scheduler | [2024-10-10T15:24:00.600-0600] {example_kubernetes_executor.py:39} WARNING - The example_kubernetes_executor example DAG requires the kubernetes provider. Please install it with: pip install apache-airflow[cncf.kubernetes] scheduler | [2024-10-10T15:24:00.618-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:24:00.634-0600] {task_command.py:467} INFO - Running <TaskInstance: tutorial_taskflow_api.transform manual__2024-10-10T21:23:55.317397+00:00 [queued]> on host Q-QKQT6Y31P2-rcheatham webserver | 127.0.0.1 - - [10/Oct/2024:15:24:01 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:01 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:04 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:04.649-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:04 -0600] [90219] [ERROR] Worker (pid:90232) was sent SIGSEGV! webserver | [2024-10-10 15:24:04 -0600] [90245] [INFO] Booting worker with pid: 90245 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:04 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:05.284-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:05 -0600] [90219] [ERROR] Worker (pid:90233) was sent SIGSEGV! webserver | [2024-10-10 15:24:05 -0600] [90246] [INFO] Booting worker with pid: 90246 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:07 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:07 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:08.331-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:08 -0600] [90219] [ERROR] Worker (pid:90231) was sent SIGSEGV! webserver | [2024-10-10 15:24:08 -0600] [90247] [INFO] Booting worker with pid: 90247 webserver | [2024-10-10T15:24:08.919-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:08 -0600] [90219] [ERROR] Worker (pid:90246) was sent SIGSEGV! webserver | [2024-10-10 15:24:08 -0600] [90250] [INFO] Booting worker with pid: 90250 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:10 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:10 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:11.993-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:11 -0600] [90219] [ERROR] Worker (pid:90245) was sent SIGSEGV! webserver | [2024-10-10 15:24:12 -0600] [90252] [INFO] Booting worker with pid: 90252 webserver | [2024-10-10T15:24:12.554-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:12 -0600] [90219] [ERROR] Worker (pid:90252) was sent SIGSEGV! webserver | [2024-10-10 15:24:12 -0600] [90255] [INFO] Booting worker with pid: 90255 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:13 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:13 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:15.623-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:15 -0600] [90219] [ERROR] Worker (pid:90250) was sent SIGSEGV! webserver | [2024-10-10 15:24:15 -0600] [90260] [INFO] Booting worker with pid: 90260 webserver | [2024-10-10T15:24:16.194-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:16 -0600] [90219] [ERROR] Worker (pid:90230) was sent SIGSEGV! webserver | [2024-10-10 15:24:16 -0600] [90261] [INFO] Booting worker with pid: 90261 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:16 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:16 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:19.532-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:19 -0600] [90219] [ERROR] Worker (pid:90255) was sent SIGSEGV! webserver | [2024-10-10 15:24:19 -0600] [90273] [INFO] Booting worker with pid: 90273 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:19 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:19 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:20.073-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:20 -0600] [90219] [ERROR] Worker (pid:90260) was sent SIGSEGV! webserver | [2024-10-10 15:24:20 -0600] [90274] [INFO] Booting worker with pid: 90274 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:22 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:22 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:23.110-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:23 -0600] [90219] [ERROR] Worker (pid:90261) was sent SIGSEGV! webserver | [2024-10-10 15:24:23 -0600] [90275] [INFO] Booting worker with pid: 90275 webserver | [2024-10-10T15:24:23.672-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:23 -0600] [90219] [ERROR] Worker (pid:90273) was sent SIGSEGV! webserver | [2024-10-10 15:24:23 -0600] [90276] [INFO] Booting worker with pid: 90276 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:26 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:26 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:26.733-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:26 -0600] [90219] [ERROR] Worker (pid:90274) was sent SIGSEGV! webserver | [2024-10-10 15:24:26 -0600] [90277] [INFO] Booting worker with pid: 90277 webserver | [2024-10-10T15:24:27.301-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:27 -0600] [90219] [ERROR] Worker (pid:90247) was sent SIGSEGV! webserver | [2024-10-10 15:24:27 -0600] [90278] [INFO] Booting worker with pid: 90278 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:29 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1001 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:29 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4380 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | [2024-10-10T15:24:30.373-0600] {executor_loader.py:254} INFO - Loaded executor: SequentialExecutor webserver | [2024-10-10 15:24:30 -0600] [90219] [ERROR] Worker (pid:90277) was sent SIGSEGV! webserver | [2024-10-10 15:24:30 -0600] [90279] [INFO] Booting worker with pid: 90279 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:30 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform/logs/1?full_content=false HTTP/1.1" 200 3950 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | [2024-10-10T15:24:30.957-0600] {scheduler_job_runner.py:764} INFO - Received executor event with state success for task instance TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='transform', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) scheduler | [2024-10-10T15:24:30.960-0600] {scheduler_job_runner.py:801} INFO - TaskInstance Finished: dag_id=tutorial_taskflow_api, task_id=transform, run_id=manual__2024-10-10T21:23:55.317397+00:00, map_index=-1, run_start_date=2024-10-10 21:24:00.685070+00:00, run_end_date=2024-10-10 21:24:30.765587+00:00, run_duration=30.080517, state=success, executor=SequentialExecutor(parallelism=32), executor_state=success, try_number=1, max_tries=0, job_id=18, pool=default_pool, queue=default, priority_weight=2, operator=_PythonDecoratedOperator, queued_dttm=2024-10-10 21:23:59.765812+00:00, queued_by_job_id=16, pid=90244 scheduler | [2024-10-10T15:24:30.974-0600] {job.py:229} INFO - Heartbeat recovered after 35.07 seconds scheduler | [2024-10-10T15:24:31.917-0600] {scheduler_job_runner.py:423} INFO - 1 tasks up for execution: scheduler | <TaskInstance: tutorial_taskflow_api.load manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:24:31.917-0600] {scheduler_job_runner.py:495} INFO - DAG tutorial_taskflow_api has 0/16 running and queued tasks scheduler | [2024-10-10T15:24:31.917-0600] {scheduler_job_runner.py:634} INFO - Setting the following tasks to queued state: scheduler | <TaskInstance: tutorial_taskflow_api.load manual__2024-10-10T21:23:55.317397+00:00 [scheduled]> scheduler | [2024-10-10T15:24:31.918-0600] {scheduler_job_runner.py:736} INFO - Trying to enqueue tasks: [<TaskInstance: tutorial_taskflow_api.load manual__2024-10-10T21:23:55.317397+00:00 [scheduled]>] for executor: SequentialExecutor(parallelism=32) scheduler | [2024-10-10T15:24:31.918-0600] {scheduler_job_runner.py:680} INFO - Sending TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='load', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) to SequentialExecutor with priority 1 and queue default scheduler | [2024-10-10T15:24:31.918-0600] {base_executor.py:168} INFO - Adding to queue: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'load', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] scheduler | [2024-10-10T15:24:31.919-0600] {sequential_executor.py:84} INFO - Executing command: ['airflow', 'tasks', 'run', 'tutorial_taskflow_api', 'load', 'manual__2024-10-10T21:23:55.317397+00:00', '--local', '--subdir', '/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py'] webserver | 127.0.0.1 - - [10/Oct/2024:15:24:32 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1036 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:32 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4444 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | [2024-10-10T15:24:32.603-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:24:32.607-0600] {dagbag.py:588} INFO - Filling up the DagBag from /Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/tutorial_taskflow_api.py scheduler | [2024-10-10T15:24:32.639-0600] {example_local_kubernetes_executor.py:40} WARNING - Could not import DAGs in example_local_kubernetes_executor.py scheduler | Traceback (most recent call last): scheduler | File "/Users/rcheatham/workspace/airflow/bug-test/venv/lib/python3.10/site-packages/airflow/example_dags/example_local_kubernetes_executor.py", line 38, in <module> scheduler | from kubernetes.client import models as k8s scheduler | ModuleNotFoundError: No module named 'kubernetes' scheduler | [2024-10-10T15:24:32.640-0600] {example_local_kubernetes_executor.py:41} WARNING - Install Kubernetes dependencies with: pip install apache-airflow[cncf.kubernetes] scheduler | [2024-10-10T15:24:32.783-0600] {example_kubernetes_executor.py:39} WARNING - The example_kubernetes_executor example DAG requires the kubernetes provider. Please install it with: pip install apache-airflow[cncf.kubernetes] scheduler | [2024-10-10T15:24:32.800-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. scheduler | [2024-10-10T15:24:32.815-0600] {task_command.py:467} INFO - Running <TaskInstance: tutorial_taskflow_api.load manual__2024-10-10T21:23:55.317397+00:00 [queued]> on host Q-QKQT6Y31P2-rcheatham scheduler | [2024-10-10T15:24:33.099-0600] {scheduler_job_runner.py:764} INFO - Received executor event with state success for task instance TaskInstanceKey(dag_id='tutorial_taskflow_api', task_id='load', run_id='manual__2024-10-10T21:23:55.317397+00:00', try_number=1, map_index=-1) scheduler | [2024-10-10T15:24:33.102-0600] {scheduler_job_runner.py:801} INFO - TaskInstance Finished: dag_id=tutorial_taskflow_api, task_id=load, run_id=manual__2024-10-10T21:23:55.317397+00:00, map_index=-1, run_start_date=2024-10-10 21:24:32.866040+00:00, run_end_date=2024-10-10 21:24:32.936800+00:00, run_duration=0.07076, state=success, executor=SequentialExecutor(parallelism=32), executor_state=success, try_number=1, max_tries=0, job_id=19, pool=default_pool, queue=default, priority_weight=1, operator=_PythonDecoratedOperator, queued_dttm=2024-10-10 21:24:31.917929+00:00, queued_by_job_id=16, pid=90282 scheduler | [2024-10-10T15:24:33.877-0600] {dagrun.py:854} INFO - Marking run <DagRun tutorial_taskflow_api @ 2024-10-10 21:23:55.317397+00:00: manual__2024-10-10T21:23:55.317397+00:00, state:running, queued_at: 2024-10-10 21:23:55.333863+00:00. externally triggered: True> successful scheduler | Dag run in success state scheduler | Dag run start:2024-10-10 21:23:57.783848+00:00 end:2024-10-10 21:24:33.878082+00:00 scheduler | [2024-10-10T15:24:33.878-0600] {dagrun.py:905} INFO - DagRun Finished: dag_id=tutorial_taskflow_api, execution_date=2024-10-10 21:23:55.317397+00:00, run_id=manual__2024-10-10T21:23:55.317397+00:00, run_start_date=2024-10-10 21:23:57.783848+00:00, run_end_date=2024-10-10 21:24:33.878082+00:00, run_duration=36.094234, state=success, external_trigger=True, run_type=manual, data_interval_start=2024-10-10 21:23:55.317397+00:00, data_interval_end=2024-10-10 21:23:55.317397+00:00, dag_hash=38e56a72b18ab9d01e9f2f0cd6695560 webserver | 127.0.0.1 - - [10/Oct/2024:15:24:33 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform/logs/1?full_content=false HTTP/1.1" 200 3950 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:35 -0600] "GET /api/v1/dags/tutorial_taskflow_api/dagRuns/manual__2024-10-10T21:23:55.317397+00:00/taskInstances/transform HTTP/1.1" 200 1036 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" webserver | 127.0.0.1 - - [10/Oct/2024:15:24:35 -0600] "GET /object/grid_data?dag_id=tutorial_taskflow_api&num_runs=25 HTTP/1.1" 200 4535 "http://localhost:8080/dags/tutorial_taskflow_api/grid?dag_run_id=manual__2024-10-10T21%3A23%3A55.317397%2B00%3A00&task_id=transform&tab=logs"; "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36" scheduler | [2024-10-10T15:24:37.819-0600] {workday.py:41} WARNING - Could not import pandas. Holidays will not be considered. triggerer | [2024-10-10T15:24:44.938-0600] {triggerer_job_runner.py:510} INFO - 0 triggers currently running triggerer | [2024-10-10T15:25:44.999-0600] {triggerer_job_runner.py:510} INFO - 0 triggers currently running triggerer | [2024-10-10T15:26:45.066-0600] {triggerer_job_runner.py:510} INFO - 0 triggers currently running </pre> </details> ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
