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We don't want to pull the notes, fix one field, return them and then have to get them back again for the next bad field.I can roll the fail streams from multiple validator blocks back together but it would be more elegant if I didn't have too.The Data Grid object does work as expected, but that is the same as entering fixed values in the Data Validator directly. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.This is done in the dataset by writing an event handler for the Data Table. You might use the Row Changing event for checking that the value of an "End Date" column is later than the "Start Date" column in the same row.I'm trying to use the data validator step to look for bad/missing data.
To be honest, I know it's not elegant, but having multiple steps make it easier on a later time to open the transformation and understand at a glance what each step is doing. Hi Mick, Because it's a data cleaning exercise there's something wrong with at least one variable in almost every row.I've got quite a few that must be 0,1, or 9 (no, yes and unknown), three that can be 0,1,2..10 or 99.It's those where I'd like to use the external table.Some just have to be present so I just want to check that they're not null.There are several dates in various formats like yyyy/mm/dd hh:mm:ss.sss; numeric fields with upper and lower bounds and then there are some that need values from a list.