Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi all,
Using Sage to create an ODBC connection with Power Query, however I want line one to show DATEFROM (XX/XX/XX) and then DATETO (XX/XX/XX), then my data in line three to be updated using these dates.
I've tried to add WHERE clause and GETDATE but nothing seems to work! The data is linked to a nominal table in Sage, like below:-
let
Source = Odbc.DataSource("dsn=SageLine50v28", [HierarchicalNavigation=true]),
AUDIT_JOURNAL_Table = Source{[Name="AUDIT_JOURNAL",Kind="Table"]}[Data],
#"Removed Columns" = Table.RemoveColumns(AUDIT_JOURNAL_Table,{"BANK_CODE", "BANK_FLAG", "DATE_ENTERED", "DATE_FLAG", "DELETED_FLAG", "DEPT_NAME", "DEPT_NUMBER", "DISPUTED", "DISPUTE_CODE", "EXTRA_REF", "FOREIGN_AMOUNT", "FUND_ID", "HEADER_NUMBER", "INV_REF", "OSS_COUNTRY_OF_VAT", "OSS_REPORTING_TYPE", "OSS_REPORTING_TYPE_NAME", "PAID_FLAG", "PAID_STATUS", "RECORD_CREATE_DATE", "RECORD_DELETED", "RECORD_MODIFY_DATE", "RTD_FLAG", "SPLIT_NUMBER", "STMT_TEXT", "VAT_FLAG", "VAT_FLAG_CODE", "VAT_LEDGER_RETURN_ID", "VAT_RECONCILED_DATE", "NOMINAL_CODE"})
in
#"Removed Columns"
Hi @Sage_user
You can consider to filter the data.e g
Table.SelectRows(#"Changed Type", each [Column1] >= #date(2021, 5, 1) and [Column2] <= #date(2023, 9, 1))
If the following above cannot meet your requirement, can you provide some sample picture or output you want?
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Yolo Zhu and thanks for helping, I really appreciate it!
Do I enter this in advanced editor under 'let'? Thus it being the below (gives an error). Sample picture of what i want is below also..
let
Source = Odbc.DataSource("dsn=SageLine50v28", [HierarchicalNavigation=true]),
AUDIT_JOURNAL_Table = Source{[Name="AUDIT_JOURNAL",Kind="Table"]}[Data],
#"Removed Columns" = Table.RemoveColumns(AUDIT_JOURNAL_Table,{"DATE_ENTERED", "DATE_FLAG", "DELETED_FLAG", "DEPT_NAME", "DEPT_NUMBER", "DISPUTED", "DISPUTE_CODE", "FUND_ID", "OSS_COUNTRY_OF_VAT", "OSS_REPORTING_TYPE", "OSS_REPORTING_TYPE_NAME", "PAID_FLAG", "PAID_STATUS", "RECORD_CREATE_DATE", "RECORD_DELETED", "RTD_FLAG", "SPLIT_NUMBER", "STMT_TEXT", "VAT_FLAG", "VAT_FLAG_CODE", "VAT_LEDGER_RETURN_ID", "VAT_RECONCILED_DATE"}),
#"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"ACCOUNT_REF", "DETAILS", "AMOUNT", "FOREIGN_AMOUNT", "EXTRA_REF", "BANK_CODE", "BANK_FLAG", "DATE", "HEADER_NUMBER", "INV_REF", "NOMINAL_CODE", "RECORD_MODIFY_DATE", "TAX_CODE", "TRAN_NUMBER", "TYPE", "USER_NAME"}),
#"Removed Columns1" = Table.RemoveColumns(#"Reordered Columns",{"BANK_CODE", "BANK_FLAG", "HEADER_NUMBER"}),
#"Reordered Columns1" = Table.ReorderColumns(#"Removed Columns1",{"ACCOUNT_REF", "NOMINAL_CODE", "DETAILS", "TYPE", "AMOUNT", "FOREIGN_AMOUNT", "EXTRA_REF", "DATE", "INV_REF", "RECORD_MODIFY_DATE", "TAX_CODE", "TRAN_NUMBER", "USER_NAME"}),
#"Changed Type" = Table.TransformColumnTypes(#"Reordered Columns1",{{"DATE", type date}})
Table.SelectRows(#"Changed Type", each [Column1] >= #date(2021, 5, 1) and [Column2] <= #date(2023, 9, 1))
in
#"Changed Type"
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 6 | |
| 3 | |
| 3 | |
| 3 | |
| 2 |