t oo created AIRFLOW-4796:
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Summary: DOCO - DaskExecutor logs
Key: AIRFLOW-4796
URL: https://issues.apache.org/jira/browse/AIRFLOW-4796
Project: Apache Airflow
Issue Type: Improvement
Components: executors, logging
Affects Versions: 1.10.3
Reporter: t oo
I have an Airflow installation (on Kubernetes). My setup uses {{DaskExecutor}}.
I also configured remote logging to S3. However when the task is running I
cannot see the log, and I get this error instead:
*** Log file does not exist:
/airflow/logs/dbt/run_dbt/2018-11-01T06:00:00+00:00/3.log
*** Fetching from:
http://airflow-worker-74d75ccd98-6g9h5:8793/log/dbt/run_dbt/2018-11-01T06:00:00+00:00/3.log
*** Failed to fetch log file from worker.
HTTPConnectionPool(host='airflow-worker-74d75ccd98-6g9h5', port=8793): Max
retries exceeded with url: /log/dbt/run_dbt/2018-11-01T06:00:00+00:00/3.log
(Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at
0x7f7d0668ae80>: Failed to establish a new connection: [Errno -2] Name or
service not known',))
Once the task is done, the log is shown correctly.
I believe what Airflow is doing is:
* for finished tasks read logs from s3
* for running tasks, connect to executor's _log server endpoint_ and show that.
Looks like Airflow is using {{celery.worker_log_server_port}} to connect to my
dask executor to fetch logs from there.
h3. How to configure {{DaskExecutor}} to expose _log server endpoint_?
my configuration:
core remote_logging True
core remote_base_log_folder s3://some-s3-path
core executor DaskExecutor
dask cluster_address 127.0.0.1:8786
celery worker_log_server_port 8793
what i verified: - verified that the log file exists and is being written to on
the executor while the task is running - called {{netstat -tunlp}} on executor
container, but did not find any extra port exposed, where logs could be served
from.
We solved the problem by simply starting a python HTTP handler on a worker.
Dockerfile:
RUN mkdir -p $AIRFLOW_HOME/serve
RUN ln -s $AIRFLOW_HOME/logs $AIRFLOW_HOME/serve/log
worker.sh (run by Docker CMD):
#!/usr/bin/env bash
cd $AIRFLOW_HOME/serve
python3 -m http.server 8793 &
cd -
dask-worker $@
see
[https://stackoverflow.com/questions/53121401/airflow-live-executor-logs-with-daskexecutor]
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