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I was seeing incorrect numbers after joining two tables together. I have isolated the issue as shown in the following example:
I take the existing delta table named Rainbow_Accounting_Adjustments, and I save it as a dataframe using a temporary view. I then save the dataframe as a delta table named Business_Unit_Adjustment_Totals.
Business_Unit_Adjustment_Totals should be a direct copy of Rainbow_Accounting_Adjustments. Instead, there is a duplicate of each row.
Rainbow_Accounting_Adjustments is updated by Dataflow Gen 2. I have noticed similar problems with other tables created/updated by Dataflow Gen 2. Sometimes it is not an exact duplicate, but shows old data from a previous import.
Any advice on how to resolve this issue would be appreciated!
Hi @alozovoy ,
Any chance you got a resolution on your ticket? I am having the same issue: SQL Endpoint is giving me the correct number of rows; but Notebooks return multiple versions of records (started for me yesterday).
Thank you
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