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I have table where multiple rows with same ID may exist but with different or sometimes same values in Date column. Of course I can group this by ID and select ones with MAX date however since sometimes Date column can end up having same dates so I am wondering how to choose which row to keep. I have other columns in this table I can utilize to make that decision only not quite sure how to do it.
Any suggestions?
Solved! Go to Solution.
Table.FromRecords(
Table.Group(Source, "id", {"recs", (x) => Table.Max(x, {"Date", (w) => - w[Decision column]})})[recs]
)
Hey @stribor45 ,
To select rows by MAX(Date) and a secondary condition when there are ties, you can use techniques like row_number, rank, or filtering with a join/subquery, depending on your SQL dialect.
If you have a column to break ties (e.g., Status, Amount, Priority), use ROW_NUMBER() to pick just one:
WITH RankedData AS ( SELECT *, ROW_NUMBER() OVER ( PARTITION BY ID ORDER BY Date DESC, Status DESC, Amount DESC ) AS rn FROM your_table ) SELECT * FROM RankedData WHERE rn = 1;
You can replace Status DESC, Amount DESC with whatever additional logic makes a row preferable.
If you want to keep all rows that tie for the best Date and your secondary preference, use RANK():
WITH RankedData AS ( SELECT *, RANK() OVER ( PARTITION BY ID ORDER BY Date DESC, Status DESC ) AS rnk FROM your_table ) SELECT * FROM RankedData WHERE rnk = 1;
This returns all top-ranked rows per ID.
If you don’t want window functions:
SELECT t.* FROM your_table t JOIN ( SELECT ID, MAX(Date) AS MaxDate FROM your_table GROUP BY ID ) maxed ON t.ID = maxed.ID AND t.Date = maxed.MaxDate WHERE t.Status = 'PreferredStatus'; -- or any other condition
This returns only rows with the max date and your custom logic.
Use these heuristics based on your context:
Pick the most recent DateTime + Highest Priority.
Prefer a specific Status like 'Active' or 'Completed'.
Use ISNULL(Column, 0) or custom scoring if the preference is complex.
You can also chain ORDER BY columns in the ROW_NUMBER() clause to incorporate multiple layers of preference.
If you found this solution helpful, please consider accepting it and giving it a kudos (Like) it’s greatly appreciated and helps others find the solution more easily.
Best Regards,
Nasif Azam
Here is a Power Query solution as question.
Please please please click thumbs up. I deserve it !
Also clcik [accept solution] it is works (which it does)
Create you test data
Create a new table which referfnces your original table
Group it by ID with Max date
Merge as new query (to crate a new table)
using ID and Date
with a Right Outer join (all from second, matching the first)
Reference that table to create a new table
Group it by ID with min decision
Merge as new query (to create a new table)
join using ID and Decision
with a Right outer hoin
It works in the reports
Download the PBIX from Onedrive here
Note that my solution returns the correct value for ID 88888.
Please check that other member's solutions also handle that tricky scenario
Grhhhhh. So they tels me after I spent 30 mins carefully creating a DAX example 🙄
Try this
Answer =
CALCULATE(
MAX(yourdata[Date]),
ALLEXCEPT(yourdata,yourdata[ID])
)
Please click [thumbs up] because I have tried to help.
Then click [accept solution] if it work. Thank you !
I want to help you more but your description is too vague.
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I shared small example below. Thanks for sharing that information however I was curious about how to solve this in power query rather then DAX
Table.Max(table as table, comparisonCriteria as any, optional default as any) as any
write your own comparisonCriteria
How are you choosing that row now?
In general, you would just add to the appropriate logic to the condition argument of the Table.SelectRows function.
For example the top is the table I start with and below it is the table I want to end up with. If the date column is the same for the the particular id then I keep the roiw with lowest number in Decision column
Table.FromRecords(
Table.Group(Source, "id", {"recs", (x) => Table.Max(x, {"Date", (w) => - w[Decision column]})})[recs]
)
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNjFV0lFyBGIzfUNDfSMDIxDfUClWByHrhCZrBJY1BQG4XmNUrTBJZ7CkCUzSGCxpBgJwnUaoOs1BAMhzQ5U0U4qNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, Type = _t, Date = _t, #"Decision column" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"Type", type text}, {"Date", type date}, {"Decision column", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"id"}, {
{"MaxDate", (t)=> [a=Table.SelectRows(t, each [Date]=List.Max(t[Date])),
b=Table.SelectRows(a, each [Decision column]=List.Min(a[Decision column]))][b],
type table [id=nullable number, Type=nullable text, Date=nullable date, Decision column=nullable number]}}),
#"Expanded MaxDate" = Table.ExpandTableColumn(#"Grouped Rows", "MaxDate", {"Type", "Date", "Decision column"})
in
#"Expanded MaxDate"
From your data: