You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm running tap-braintree with target-stitch on PythonAnywhere.com which is a simple Python hosting platform (with a simple bash command scheduler) built on AWS EC2.
Apparently because they operate on a shared environment with a large cluster, normal Linux process management doesn't really work.
Maybe a command line option to disable memory reporting would be helpful if anyone runs into this? It might be too much of a fringe case to worry about - although other than this issue, PythonAnywhere is actually a great environment for running singer because you can schedule bash commands daily or hourly.
I'm running tap-braintree with target-stitch on PythonAnywhere.com which is a simple Python hosting platform (with a simple bash command scheduler) built on AWS EC2.
Apparently because they operate on a shared environment with a large cluster, normal Linux process management doesn't really work.
Maybe a command line option to disable memory reporting would be helpful if anyone runs into this? It might be too much of a fringe case to worry about - although other than this issue, PythonAnywhere is actually a great environment for running singer because you can schedule bash commands daily or hourly.
If anyone else runs into this issue, I created a fork here with the extremely inelegant solution of commenting out the MemoryReporter.start() line. You can install pip install git+https://github.com/chrisgoddard/target-stitch
The text was updated successfully, but these errors were encountered: