Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
I'm trying to get the prior LeaseID in power query for each record on my table.
You can see how the LeaseIDs don't neccesarily start at 1 and are also not consecutive.
For each unit and lease, and I'm trying to get the prior lease.
Here is the data:
Here is the expected result:
(FYI the actual data has 200k+ records)
Here is a sample file:
https://drive.google.com/file/d/1yil8zqNSnEwYT5P5mGZeSnah8PyNjehA/view?usp=sharing
Solved! Go to Solution.
Group by UnitID, then add a shifted column to each subtable.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQw0HU0VNJRMlSK1UHiGqFyjVG5JnCuE6peJ1TFYK4pKtcMwTVCVWyEarIRpmILpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [UnitID = _t, LeaseID = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"UnitID", type text}, {"LeaseID", Int64.Type}}),
//Group by UnitID
// then add Shifted Column to each sub table and re-expand
#"Group UnitID" = Table.Group(#"Changed Type",{"UnitID"}, {
{"Shifted Column", (t)=>
Table.FromColumns(
Table.ToColumns(t)
& {{null} & List.RemoveLastN(t[LeaseID],1)},{"UnitID","LeaseID","Prior Lease"}),
type table[UnitID=text,LeaseID=Int64.Type, Prior Lease = Int64.Type]}
}),
#"Expanded Shifted Column" = Table.ExpandTableColumn(#"Group UnitID", "Shifted Column", {"LeaseID", "Prior Lease"})
in
#"Expanded Shifted Column"
Results
Group by UnitID, then add a shifted column to each subtable.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQw0HU0VNJRMlSK1UHiGqFyjVG5JnCuE6peJ1TFYK4pKtcMwTVCVWyEarIRpmILpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [UnitID = _t, LeaseID = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"UnitID", type text}, {"LeaseID", Int64.Type}}),
//Group by UnitID
// then add Shifted Column to each sub table and re-expand
#"Group UnitID" = Table.Group(#"Changed Type",{"UnitID"}, {
{"Shifted Column", (t)=>
Table.FromColumns(
Table.ToColumns(t)
& {{null} & List.RemoveLastN(t[LeaseID],1)},{"UnitID","LeaseID","Prior Lease"}),
type table[UnitID=text,LeaseID=Int64.Type, Prior Lease = Int64.Type]}
}),
#"Expanded Shifted Column" = Table.ExpandTableColumn(#"Group UnitID", "Shifted Column", {"LeaseID", "Prior Lease"})
in
#"Expanded Shifted Column"
Results
@ronrsnfld I know that my data is not sorted correctly but that should be easy to rectify, I think this is what I was looking for.
Thank you!
@ronrsnfld Thank you again, this solution has been working amazing!
Are you able to help me again by adding another column to this for the reverse? Meaning showing me the next lease?
Actually, I just played around some more and figured it out:
#"Grouped Rows" = Table.Group(#"Removed Columns1", {"UnitID"}, {
{"Shifted Column", (t)=>
Table.FromColumns(
Table.ToColumns(t)
& {{null} & List.RemoveLastN(t[RMLEASE],1)} & {List.RemoveFirstN(t[RMLEASE],1) & {null}},{"UnitID","RMLEASE","Prior Lease", "Next Lease"}),
type table[UnitID=text,RMLEASE=Int64.Type, Prior Lease = Int64.Type, Next Lease = Int64.Type]}
}),
Thats an interesting solution which should work. I'm a little hesitant though, as the the SQL query to generate the list of tenants is a rather large query so I would like to avoid having to load it twice.
Is there any way to accomplish this within 1 query?
You could start with 2 versions of the table.
In version 1, add an Index column (from 0)
In version 2, add an Index column (from 1).
Merge the 2 tables (on Index AND UnitID) using Left Outer join with Version 1 as first table.
Expand to bring back Lease ID
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 10 | |
| 9 | |
| 7 | |
| 5 | |
| 5 |