Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi,
I have the following scenario - data looks like this as exmaple below :
ID | Query |
1 | select * from emp |
2 | select * from dept UNION select * from hr |
3 | select * from Purchase JOIN Expense ON Purchase. key = Expense.key JOIN Money ON Expense.key1 = Money.key1 |
required outcome:
ID | Table |
1 | emp |
2 | dept |
2 | hr |
3 | Purchase |
3 | Expense |
3 | Money |
tried with Text.BetweenDelimiters and Table.SplitColumn , but not able to get this.
Please help.
Solved! Go to Solution.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUSpOzUlNLlHQUkgrys9VSM0tUIrViVYywpBJSS0oUQj18/T3i8lDlckoAmsxxtASUFqUnJFYnKrg5e/pp+BaUZAK1BmT5+8Hl9FTyE6tVLCFyekBeTF5YNW++XlAGX8/ZClDoEqwOJijFBsLAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SN = _t, Query = _t]),
#"Extracted table" = Table.TransformColumns(Source, {"Query", each let l = List.Select(Text.SplitAny(_, " #(lf)"), each _<>""), pos = List.PositionOfAny(l, {"FROM", "JOIN"}, Occurrence.All, Comparer.OrdinalIgnoreCase) in List.Accumulate(pos, {}, (s,c) => s&{l{c+1}})}),
#"Expanded Query" = Table.ExpandListColumn(#"Extracted table", "Query")
in
#"Expanded Query"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Resort to embedded R or Python with regular expression,
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUSpOzUlNLlHQUkgrys9VSM0tUIrViVYywpBJSS0oUQj18/T3i8lDlckoAmsxxtASUFqUnJFYnKrg5e/pp+BaUZAK1BmT5+8Hl9FTyE6tVLCFyekBeTF5YNW++XlAGX8/ZClDoEqwOJijFBsLAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SN = _t, Query = _t]),
#"Extracted table" = Table.TransformColumns(Source, {"Query", each let l = List.Select(Text.SplitAny(_, " #(lf)"), each _<>""), pos = List.PositionOfAny(l, {"FROM", "JOIN"}, Occurrence.All, Comparer.OrdinalIgnoreCase) in List.Accumulate(pos, {}, (s,c) => s&{l{c+1}})}),
#"Expanded Query" = Table.ExpandListColumn(#"Extracted table", "Query")
in
#"Expanded Query"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
63 | |
59 | |
56 | |
38 | |
29 |
User | Count |
---|---|
82 | |
62 | |
45 | |
41 | |
40 |