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
Describe what's wrong In spark UT, GlutenDataFramePivotSuite.‘pivot with timestamp and count should not print internal representation’
spark result: toString('2023-01-01 10:00:00.123456') = 2023-01-01 10:00:00.123456 toString('2023-01-01 10:00:00.123400') = 2023-01-01 10:00:00.1234 toString('2023-01-01 10:00:00.000000') = 2023-01-01 10:00:00
clickhouse reuslt: toString('2023-01-01 10:00:00.123456') = 2023-01-01 10:00:00.123456 toString('2023-01-01 10:00:00.123400') = 2023-01-01 10:00:00.123400 toString('2023-01-01 10:00:00.000000') = 2023-01-01 10:00:00.000000
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Describe what's wrong
In spark UT,
GlutenDataFramePivotSuite.‘pivot with timestamp and count should not print internal representation’
spark result:
toString('2023-01-01 10:00:00.123456') = 2023-01-01 10:00:00.123456
toString('2023-01-01 10:00:00.123400') = 2023-01-01 10:00:00.1234
toString('2023-01-01 10:00:00.000000') = 2023-01-01 10:00:00
clickhouse reuslt:
toString('2023-01-01 10:00:00.123456') = 2023-01-01 10:00:00.123456
toString('2023-01-01 10:00:00.123400') = 2023-01-01 10:00:00.123400
toString('2023-01-01 10:00:00.000000') = 2023-01-01 10:00:00.000000
The text was updated successfully, but these errors were encountered: