@heidi.andrew - here is another pipeline that provides a couple more examples how this could be done. In this pipeline, there are two examples - the first is similar to what @alchemiz has done, but with an added step to simplify the syntax of the record conversion into an array then object. The second path steps it down even farther using all basic snap functionality to split the input stream so it can be parsed separately based on the input row type.
I hope this helps!
Community 15513 - Multi-row CSV_2023_02_22.slp (24.3 KB)
i was finally able to get this to work. i used a fixed format parser that looked like this:
Now I have done the work on the rows and need to put them back together. As you can imagine, i have a ton of blank columns on all the rows now and dont want that. got any ideas?
