Lag Window Functions gave me split rows

I am trying to use window functions for lag/lead. However no matter how I try, the table still show splits.
lag(sum(case when `control or target` = 'target' then `vol_usd` else 0 end)) over (partition by year(`trade_date`)*100 + month(`trade_date`))
Is there anything wrong here?
Answers
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Sorry I used order by instead of partition. But in either case, both wont sum up but gave me 31 rows of 202101.
lag(sum(case when `control or target` = 'target' then `vol_usd` else 0 end)) over (order by year(`trade_date`)*100 + month(`trade_date`))
0 -
@jaeW_at_Onyx and @GrantSmith are the kings of window functions, so I am sure they can help you out. I would point you to these two resources:
- You can perform window functions in Magic ETL and they run very fast. Here is the KB article: https://knowledge.domo.com/Prepare/Magic_Transforms/ETL_DataFlows/03ETL_Actions%3A_Rank_and_Window
- Jae has a great youtube video about window functions here: https://www.youtube.com/watch?v=eifSYZIcPzg&t=361s
Hope this helps
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lag(sum(case when `control or target` = 'target' then `vol_usd` else 0 end)) over (partition by year(`trade_date`)*100 + month(`trade_date`))
I think Domo broke / changed functionality.
You can no longer use an expression in the partition or order by clause -- year(`trade_date`)*100 + month(`trade_date`)
add this to your dataset as a hardcoded column
Jae Wilson
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Thanks @jaeW_at_Onyx & @MarkSnodgrass , adding an additional column works. Hopefully DOMO can fix this problem.
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