potiuk edited a comment on issue #17310: URL: https://github.com/apache/airflow/issues/17310#issuecomment-889808293
Also you can try to increase the number of CPUs that are available to docker engine. The Build will take advantage of as many CPUS as many you give it to and it will build the documentation in parallel. It looks like the timeout happens because some of the builds were scheduled to run (via paralell) and waited too long, so i f you increase number of CPUs, they will run much faster in general. (Please let us know how it works). Root caus of it is that M1 uses emulation (our Docker image is x86 one) so it will run much slower than native execution. Also another workaround is try to run it locally on Mac - as long as you have locally instlaled "airflow[doc]" virtualenv, building docs should work with your natively installed python packages - hopefully all sphinx-related libraries can run natively on Mac M1, so you can run it there (it will not take advantage of parallell runs though). Yet another workaround is that you can just build a single package using for example `./brees build-docs -- --package-filter 'apache-airflow'` to only build airflow documentation. Taking into account a number of workarounds available and the fact that there is another ticket to implement native M1 docker https://github.com/apache/airflow/issues/15635 I close this ticket as "won't fix". -- 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]
