Forum Discussion
Filtering Column A with a text value from column B
Ok, cool.
I don't think we need a conditional column. The following query turns this:
...into this:
In Power Query, create a new blank query, open Advanced Editor from the Home tab, then paste all of this over the default code so you can see each step in action:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCklMykk1MDBU0lFSitVB4Ts6OaMLubi6IQsZoekC8SMiowgpQeYbA/nuHp7oQkqxsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Id = _t, Data.Column2 = _t]), repBlankNull = Table.ReplaceValue(Source,"",null,Replacer.ReplaceValue,{"Data.Column2"}), groupIdAllRows = Table.Group(repBlankNull, {"Id"}, {{"data", each _, type table [Id=nullable text, Data.Column2=nullable text]}}), filterTargetTable = Table.SelectRows(groupIdAllRows, each List.Contains([data][Data.Column2], "XYZ")), expandDataCol = Table.ExpandTableColumn(filterTargetTable, "data", {"Data.Column2"}, {"Data.Column2"}) in expandDataCol--Summary--
repBlankNull - You can ignore this step, it just swaps blank values for nulls.
groupIdAllRows - Group the table in [Id], but use the All Rows aggregator to keep all the other rows in nested tables.
filterTargetTable - Evaluates the [Data.Column2] column in each nested table to see if it contains "XYZ", and keeps the [Id] row if any of them do.
expandDataCol - Just expand back out any of the nested columns that you need.
Pete
I'm struggling to follow. My suggestion just filtered your table on [Data.Column2] = "XYZ", which was in logical consistency to your original query.
In the absence of any further information, I assumed that Table002[Data.Column2] = "XYZ" was unique, and remained true even if the table is updated to Table003 (to become Table003[Data.Column2] = "XYZ" and is still unique).
What other information is there available to identify the exact row that you want, besides [Data.Column2]?
Are you actually asking for the file name to be brought into the results table to be matched against?
*EDIT* -------------------------------
Hold on, I think I might get what you're on about here.
Do you want to identify the the Table[Id] that has [Data.Column2] = "XYZ", then filter the query for ALL rows that contain that Table[Id]?
---------------------------------------
Pete
Thanks for your persistence in trying to help when I am not being very clear!
What you mention in your edit is what I am trying to achieve, the Added Conditional Column gives me the Table[Id] I want to filter the [Id] column by.
Ok, cool.
I don't think we need a conditional column. The following query turns this:
...into this:
In Power Query, create a new blank query, open Advanced Editor from the Home tab, then paste all of this over the default code so you can see each step in action:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCklMykk1MDBU0lFSitVB4Ts6OaMLubi6IQsZoekC8SMiowgpQeYbA/nuHp7oQkqxsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Id = _t, Data.Column2 = _t]), repBlankNull = Table.ReplaceValue(Source,"",null,Replacer.ReplaceValue,{"Data.Column2"}), groupIdAllRows = Table.Group(repBlankNull, {"Id"}, {{"data", each _, type table [Id=nullable text, Data.Column2=nullable text]}}), filterTargetTable = Table.SelectRows(groupIdAllRows, each List.Contains([data][Data.Column2], "XYZ")), expandDataCol = Table.ExpandTableColumn(filterTargetTable, "data", {"Data.Column2"}, {"Data.Column2"}) in expandDataCol--Summary--
repBlankNull - You can ignore this step, it just swaps blank values for nulls.
groupIdAllRows - Group the table in [Id], but use the All Rows aggregator to keep all the other rows in nested tables.
filterTargetTable - Evaluates the [Data.Column2] column in each nested table to see if it contains "XYZ", and keeps the [Id] row if any of them do.
expandDataCol - Just expand back out any of the nested columns that you need.
Pete
Thank you very much for your detailed explanation and very fast help!
The example you provided is very educational! Now I just need some time to apply this to my own table 😄
Again, thank you very much for your help!