One way to do this would be to run two profiling steps in single measure, register results using out.dataframe.name, and then do custom spark-sql DSL rule to compare results from previous steps. It's not possible to create such a measure using UI wizards, but it's possible to express that in measure JSON.
On Mon, Apr 22, 2019, 19:55 secfree teng <[email protected]> wrote: > Hi all, > > I want to compare the count of two tables based on some conditions. But > > - “Accuracy” does not support calculating the count > - “Profiling” does not support comparison > > Any recommendations? > > Thank you. > >
