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I have two tables: table A and table B as shown below.
I want to make a conditional column in Table A with reference to Table B which contains OK and Nok data taking reference from Table B.
Table A contains:
Sr.No | DBKey |
123456 | 20230503092547 |
123456 | 20230503084725 |
123456 | 20230503070939 |
235678 | 20230508100137 |
132456 | 20230524172714 |
132456 | 20230527141557 |
165478 | 20230514120545 |
765432 | 20230507130646 |
765432 | 20230507131046 |
Table B contains:
Sr.No | DBKey | Status |
123456 | 20230503084725 | Nok |
235678 | 20230508100137 | Ok |
132456 | 20230527141557 | Nok |
765432 | 20230507131046 | Nok |
Result table A be like:
Sr.No | DBKey | New Status |
123456 | 20230503092547 | Nok |
123456 | 20230503084725 | Nok |
123456 | 20230503070939 | Nok |
235678 | 20230508100137 | Ok |
132456 | 20230524172714 | Nok |
132456 | 20230527141557 | Nok |
165478 | 20230514120545 | |
765432 | 20230507130646 | Nok |
765432 | 20230507131046 | Nok |
Can anyone help me out with this problem? I have tried with the DAX lookup formula and succeeded but need to do it with the power query editor.
Solved! Go to Solution.
Hi @Nicks612 ,
Please try using merge query
and then transform the New Status column.
In the simulated data, there will be the case of matching to more than one status, here I assume that there is "OK" in the status to return "OK", otherwise return "NG".
Please check the pbix file.
Best Regards,
Gao
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
How to get your questions answered quickly -- How to provide sample data in the Power BI Forum -- China Power BI User Group
Hello guys,
sorry for the inconvenience!! there is some change in the previous data query. Please find the updated doubt.
I have two tables: table A and table B as shown below.
I want to make a conditional column in Table B with reference to Table A which contains OK and Nok data.
Table A contains:
Sr.No | Status | DBKey |
123456 | OK | 20230503092547 |
123456 | NG | 20230503084725 |
123456 | OK | 20230503070939 |
235678 | NG | 20230508100137 |
132456 | NG | 20230524172714 |
132456 | OK | 20230527141557 |
165478 | OK | 20230514120545 |
765432 | NG | 20230507130646 |
765432 | NG | 20230507131046 |
Table B contains:
Sr.No | DBKey |
123456 | 20230503084725 |
235678 | 20230508100137 |
132456 | 20230527141557 |
765432 | 20230507131046 |
Result table B be like:
Sr.No | DBKey | New Status |
123456 | 20230503084725 | NG |
235678 | 20230508100137 | NG |
132456 | 20230527141557 | OK |
765432 | 20230507131046 | NG |
Can you help me out with this problem? I have tried with the DAX lookup formula and succeeded but need to do it with the power query editor.
Hi @Nicks612 ,
Please try using merge query
and then transform the New Status column.
In the simulated data, there will be the case of matching to more than one status, here I assume that there is "OK" in the status to return "OK", otherwise return "NG".
Please check the pbix file.
Best Regards,
Gao
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
How to get your questions answered quickly -- How to provide sample data in the Power BI Forum -- China Power BI User Group
Thanks a lot for the prompt response!
status_rec = Record.FromList(tblB[Status], List.Transform(tblB[Sr.No], Text.From)),
add_col = Table.AddColumn(tblA, "New Status", each Record.FieldOrDefault(status_rec, Text.From([Sr.No])))
Hi @Nicks612 ,
How about this:
Here the code in Power Query M that you can paste into the advanced editor (if you do not know, how to exactly do this, please check out this quick walkthrough)
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc47EoQwDAPQu6SmkCV/krMw3P8ahF1mQgGt30jWvjejPLJtjaAQEAbDqx3bm3UvxocVhsbPqMjqy7oBprtTfOboVizzV5t3i7hzOVetzilE+H9LTRPXvzIhPb/McNlxAg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Sr.No = _t, DBKey = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Sr.No", Int64.Type}, {"DBKey", Int64.Type}}), #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Sr.No"}, TableB, {"Sr.No"}, "TableB", JoinKind.LeftOuter), #"Expanded TableB" = Table.ExpandTableColumn(#"Merged Queries", "TableB", {"Status"}, {"New Status"}) in #"Expanded TableB"
The trick is to use the merge function:
let me know if this helps you 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
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