Forum Discussion
Conditional column based on value from another table with matching values
- 6 years ago
Hi PowerBeeEye ,
You can create a calculated column using the below dax formula:
Critical_Patch_Installed = IF ( 'Servers'[Server_OS] IN DISTINCT ( 'Critical_Patch'[OS] ), IF ( 'Servers'[Server_Latest_Patch] IN DISTINCT ( 'Critical_Patch'[KD_ID] ), "Yes", "No" ), "No" )Best Regards,
Yingjie LiIf this post helps then please consider Accept it as the solution to help the other members find it more quickly.
PowerBeeEye , Try new column in Servers table
if(isblank(countx(filter(Critical_Patch,Servers[Server_OS] =Critical_Patch[OS]),Critical_Patch[KB_ID])),"No","Yes")
when Critical_Patch to Servers is 1 to M realtion
if(isblank(related(Critical_Patch[KB_ID])),"No","Yes")
thank you, amitchandak , but I don't see where the matching of the Critical_Patch[OS] and Servers[Server_OS] columns are being done.
To state again, this is what I am trying to do:
- Create a conditional column named Critical_Patch_Installed in the Servers table
- For each row in the Servers table:
- If a match exists between Servers[Server_OS] and Critical_Patch[OS]
- If Servers[Server_Latest_Patch] equals Critical_Patch[KB_ID]
- Set Servers[Critical_Patch_Installed] to "Yes"
- Else set Servers[Critical_Patch_Installed] to "No"
- If Servers[Server_Latest_Patch] equals Critical_Patch[KB_ID]
- If a match exists between Servers[Server_OS] and Critical_Patch[OS]
Thanks!
- richbenmintz6 years agoResident Rockstar
Hi PowerBeeEye,
You can do this in Power Query by Merging your Server table and your critcal patch tables on the join keys between the two tables and a custom column M Code Below
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCk4tKkstijdU0lE6tEABjIDM8My8lPzyYgWIrIKRgaEZqgJvJ0MjY6VYHbgBRoQMsEQ3wNzCEtkAY5JdYGJqphQbCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Server_Name = _t, #"(blank)" = _t, Server_OS = _t, #"(blank).1" = _t, Server_Latest_Patch = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Server_Name", type text}, {"(blank)", type text}, {"Server_OS", type text}, {"(blank).1", type text}, {"Server_Latest_Patch", type text}}), #"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"(blank).1", "(blank)"}), #"Merged Queries" = Table.NestedJoin(#"Removed Columns", {"Server_OS", "Server_Latest_Patch"}, Critical_Patch, {"OS", "KB_ID"}, "Critical_Patch", JoinKind.LeftOuter), #"Expanded Critical_Patch" = Table.ExpandTableColumn(#"Merged Queries", "Critical_Patch", {"KB_ID"}, {"KB_ID"}), #"Added Custom" = Table.AddColumn(#"Expanded Critical_Patch", "Critical Patch Installed", each if [KB_ID] <> null then "Yes" else "No") in #"Added Custom"you can also create a custom column in your Servers Table using DAX
Patched = var patched = LOOKUPVALUE(Critical_Patch[KB_ID], Critical_Patch[KB_ID], 'Servers'[Server_Latest_Patch], Critical_Patch[OS], [Server_OS]) return if(patched <> BLANK(), "Yes", "No")
Hope this helps,
Richard
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