Looks like current dq result doesn’t provide the row index of the invalidate records, that makes manual correction not so easy, there is no quick way for user to navigate the to row and fix it.
Am I missing anything? Thanks!
@jasonlu The validation result includes the indices of the invalid rows for Pandas, where dataframes have index, but not for Spark and SQLAlchemy, since there is no row number. Could you provide more details please?
@eugene.mandel Where is the index included for failed records? Is it in the data docs?