Skip to content
New issue

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

add support for Row Level of granularity DQ reports #225

Open
evoisec opened this issue Jul 21, 2024 · 2 comments
Open

add support for Row Level of granularity DQ reports #225

evoisec opened this issue Jul 21, 2024 · 2 comments

Comments

@evoisec
Copy link

evoisec commented Jul 21, 2024

Hello folks, it seems u forgot to expose in Python PyDeequ, the following Deequ Scala method, which in turn makes it impossible to use PyDeequ to produce row level DQ report - only column/dataset SUMMARY level DQ reports are possible at the moment

def rowLevelResultsAsDataFrame( sparkSession: SparkSession, verificationResult: VerificationResult, data: DataFrame): DataFrame = {

why is that, any plans to rectify and when?

@Cistron
Copy link

Cistron commented Aug 9, 2024

I would also welcome this functionality to be exposed.

@0xbadidea
Copy link

+1 Accessing the scala function from Pyspark fails when assertions are specified using Lambda functions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants