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Hi Expert,
i am new to power BI, i decided to visit forum and ask for solution.
I have two tables.
The first 1 is transactions table
| Transaction Date | Transaction Number | Customer Account |
| 2/9/2020 | KK-09-0001 | KK-00001 |
| 10/9/2020 | KK-09-0002 | KK-00002 |
| 27/9/2020 | KK-09-0003 | KK-00003 |
The second is SalesLine Table
| Transaction Number | Item ID | Item name | Category | Amount |
| KK-09-0001 | Product001 | Item A | Product | 500,000.00 |
| KK-09-0001 | Product002 | Bag | - | |
| KK-09-0002 | Product003 | Item B | Product | 200,000.00 |
| KK-09-0002 | Product004 | Item C | Product | 300,000.00 |
| KK-09-0003 | Product005 | Item D | Product | 1,000,000.00 |
What syntax do i need to use to get the category value to the transaction table. Because if i am using lookupvalue, it will return error.. Just need to get first value..
Solved! Go to Solution.
Hello @Stopira
you can join both tables and transform the joined table (extracting first row of Category). Another approach could be to add a new column where filtering the other table and extract again first row of Category. Here an example code of the first approach
let
TATable = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtK31DcyMDJQ0lHy9tY1sNQ1MDAwhHLAzFidaCVDAyyqjBCqjMCqjMyxqDJGqDJWio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Transaction Date" = _t, #"Transaction Number" = _t, #"Customer Account" = _t]),
SATable = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8vbWNbDUNTAwMFTSUQooyk8pTS6BcDxLUnMVHBGiQJYCCJgaGOgA1esZGCjF6uAywAjIcUpMB+mB6UMHugoKqAYYIRtgDHOBE6YLjHC4AMUAE5gBzpgGGOMwwBjZAFOYAS5oBhiC9ML1xwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Transaction Number" = _t, #"Item ID" = _t, #"Item name" = _t, Category = _t, Amount = _t]),
JoinTables = Table.NestedJoin
(
TATable,
"Transaction Number",
SATable,
"Transaction Number",
"SATable"
),
TransformJoinedTable = Table.TransformColumns
(
JoinTables,
{
{
"SATable",
(tbl)=> try tbl[Category]{0} otherwise null,
type text
}
}
)
in
TransformJoinedTable
Copy paste this code to the advanced editor in a new blank query to see how the solution works.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy
Hello @Stopira
you can join both tables and transform the joined table (extracting first row of Category). Another approach could be to add a new column where filtering the other table and extract again first row of Category. Here an example code of the first approach
let
TATable = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtK31DcyMDJQ0lHy9tY1sNQ1MDAwhHLAzFidaCVDAyyqjBCqjMCqjMyxqDJGqDJWio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Transaction Date" = _t, #"Transaction Number" = _t, #"Customer Account" = _t]),
SATable = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8vbWNbDUNTAwMFTSUQooyk8pTS6BcDxLUnMVHBGiQJYCCJgaGOgA1esZGCjF6uAywAjIcUpMB+mB6UMHugoKqAYYIRtgDHOBE6YLjHC4AMUAE5gBzpgGGOMwwBjZAFOYAS5oBhiC9ML1xwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Transaction Number" = _t, #"Item ID" = _t, #"Item name" = _t, Category = _t, Amount = _t]),
JoinTables = Table.NestedJoin
(
TATable,
"Transaction Number",
SATable,
"Transaction Number",
"SATable"
),
TransformJoinedTable = Table.TransformColumns
(
JoinTables,
{
{
"SATable",
(tbl)=> try tbl[Category]{0} otherwise null,
type text
}
}
)
in
TransformJoinedTable
Copy paste this code to the advanced editor in a new blank query to see how the solution works.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy
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