Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi all,
Even though support.microsoft.com says:
... in my column:
Keyword: Bryllup = IF(SEARCH( "bryllup*" , someTable[someColumn] , , BLANK() ),TRUE(),FALSE())
... I get True for many rows like "sometext sometext sølvbryllup sometext sometext", what pretty much contradicts what was written above...
How can I actually change it so that I separate words with leading and trailing characters?
Solved! Go to Solution.
Hi, @mba ;
You could use split in power query.
1. add conditional column,
2.split it.
The final output is shown below:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WKs7PTS1JrShRQDAO78gpU0gqqszJKS1QwJBXitWJVkpMSlaKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [name = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}}),
#"Added Conditional Column" = Table.AddColumn(#"Changed Type", "Custom", each if Text.Contains([name], "bryllup") then "True" else "Flase"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Added Conditional Column", "name", Splitter.SplitTextByDelimiter("bryllup", QuoteStyle.Csv), {"name.1", "name.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"name.1", type text}, {"name.2", type text}})
in
#"Changed Type1"
Best Regards,
Community Support Team_ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @mba ;
You could use split in power query.
1. add conditional column,
2.split it.
The final output is shown below:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WKs7PTS1JrShRQDAO78gpU0gqqszJKS1QwJBXitWJVkpMSlaKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [name = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}}),
#"Added Conditional Column" = Table.AddColumn(#"Changed Type", "Custom", each if Text.Contains([name], "bryllup") then "True" else "Flase"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Added Conditional Column", "name", Splitter.SplitTextByDelimiter("bryllup", QuoteStyle.Csv), {"name.1", "name.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"name.1", type text}, {"name.2", type text}})
in
#"Changed Type1"
Best Regards,
Community Support Team_ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
HI @mba ,
You can try below code:-
Column = if(CONTAINSSTRING(bryllup[Column1],"bryllup"),TRUE(),FALSE())Output:-
Thanks,
Samarth
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Thank you for your answer.
I appreciate your help. Nevertheless, how would I separate it so that I could look for rows that has some leading text with bryllup like "xxxbryllup" and other with trailing text: "bryllupxxx". I don't mean to just spot the word "bryllup", but to inspect if it has some leading/trailing characters next to it 🙂
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 57 | |
| 37 | |
| 34 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 74 | |
| 70 | |
| 37 | |
| 35 | |
| 25 |