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Hello,
I've imported 6,202,519 rows from my cloud, and I want to get two columns - ID and DataCod from this table. When I do SUMMARIZE/SUMMARIZECOLUMNS with these, I got 6,202,517 rows as a result. How to see which entires have been omitted, and why does it happen? It supposed to transfer all of them, as far as I know?
Thank you in advance
Solved! Go to Solution.
Its possible that there are duplicate entries in your source data.
You can see which, if any, rows have been omitted by creating a table like
Missing rows = EXCEPT(
SELECTCOLUMNS( 'Source Table', 'Source Table'[ID], 'Source Table'[Code]),
SELECTCOLUMNS( 'Summary Table', 'Summary Table'[ID], 'Summary Table'[Code])
)and you can see if there are any duplicates by creating a measure like
Num Rows = COUNTROWS('Source Table')and putting that into a table visual with the ID and Code from the Source table, sorted by num rows descending
Its possible that there are duplicate entries in your source data.
You can see which, if any, rows have been omitted by creating a table like
Missing rows = EXCEPT(
SELECTCOLUMNS( 'Source Table', 'Source Table'[ID], 'Source Table'[Code]),
SELECTCOLUMNS( 'Summary Table', 'Summary Table'[ID], 'Summary Table'[Code])
)and you can see if there are any duplicates by creating a measure like
Num Rows = COUNTROWS('Source Table')and putting that into a table visual with the ID and Code from the Source table, sorted by num rows descending
Hello @johnt75 ,
Missing rows table gives no result, as the unique values are the same in both tables. I dont know, should I try add every next column to SummaryTable and see in which number of rows increases?
EDIT: I've managed to run countrows on the datecode and see where is discrapency, then add layer of ID and sorted descending, getting one ID having 2 entires instead of 1. Thank you very much!
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