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the BUD-Tool will not control whether the downstream tools have finished processing. It will only guarantee, that all records have exited output anchor 1 before starting to exít output anchor 2. It is obvious, that the downstream tools on anchor 1 will take more time.
You can either use some workarounds like putting the BUD-tool to the very end, which does still not guarantee an orderly execution or you simply use the union tool, already assembling the records in the desired order inside of alteryx.
This is the much cleaner approach imo.
See the attached picture for a modified approach like yours and another more dynamic approach (if it's always the last two dates).
That said, it would be even cleaner to just use a primary key in your table and only update the respective records (setting on the output data node, instead of overwrite)
thanks for the answer. Lets say i always want to update the last x days in the table an also want to append some new values. When i use update the new vaule of 2020-02-02 is not in the table. would i do this with multiple output tools?
Would this be a good approche?
About the block until done tool:
Then the name of that tool is very confusing. i thought that the block 1 needs to be completly finished until 2 beginns ("block 2 until 1 is (completly) done")
But i guess its just the tool directly behind the 1 anchor needs to be finished until 2 starts.
But i guess i dont need it anyway
Edit: I just see that i dont need the union tool with the two filters tools afterwords since the datastreams are already splitted the way i want before the union.
this approach seems still a little bit difficult in my eyes. You could use something like this, but I would advise you not to use a surrogate key but the date as a primary key, since it seems, that all dates are unique in your database design.
This would boil down the approach drastically to a simple setup like this:
It is important to set the Output Options to Update; Insert if New, in order to produce the desired behaviour.
If this workflow relies fully on user entered dates and KPIs, you could consider making an Analytic App out of it, by parametrizing the text input node, to provide a better UX.
just remembered what the problem is. I can't work with primary key.
The problem above was simplified (maybe bit to much)
Lets say i have a table like this:
What now happens is that i want to "update" one day.
But the problem is that the Time and KPI changes.
Lets say i want to update Day "C" What i wanted to do (first post) Is take all days - finde out which days i want to update - write the days back to the table (drop) - only days that i dont want to update are left (First Block Ends here) Now append the dates i want to update (Second Block).
So i cant work with update function here since i cant work with primary keys. (Time can change, rows can change [e.g. i had one row in Day "C" but now need to insert just one])
I guess this just works with block until done (what doesnt work for me correctly).
Or is there a way to delete days in my table via alteryx?
nice memeing-skills :), sorry for the late answer, though.
Okay, if you can't work with the primary key approach, let's try something else: As I told you before, in my opinion you don't need a Block-Until-Done-Tool at all. The only problem is how to address the deletes. It is possible to perform an SQL Delete-Statement from a Dynamic-Input-Tool, but it does feel a bit "hacky".
If the amount of data is manageable, I would actually do a TRUNCATE TABLE (Output Option: Delete Data and Append, see second screenshot), if not, we can talk about the "hacky" approach again :).
What you'll want to do is to exclude all updated days from the output. I would advise you to use a Join-Tool for this Task, keeping all unmatched records from the database and appending a unique match.
Pay close attention on how to configure the Join-Tool.
I hope this solves your problems. Just text back if you stumble on further problems.