We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I ran the profiling tool on some integration test runs as kind of a stress test, and I got some output like.
App Name,App ID,Score,Potential Problems,SQL Dataframe Duration,App Duration,Executor CPU Time Percent rapids spark plugin integration tests (python),app-20201105103038-0001,68.54,"UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF",2119989,3093153,44.0 rapids spark plugin integration tests (python),app-20210526070813-0008,49.4,"UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF,UDF",1471194,2978171,21.01
This is rather ugly and it might be better to just have UDF and a count of how many times it showed up.
UDF
The text was updated successfully, but these errors were encountered:
tgravescs
Successfully merging a pull request may close this issue.
I ran the profiling tool on some integration test runs as kind of a stress test, and I got some output like.
This is rather ugly and it might be better to just have
UDF
and a count of how many times it showed up.The text was updated successfully, but these errors were encountered: