Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
I am having problems with copying queries on dataflow:
What I am trying to acheive is:
1) On the queries pane, select a query or a group of queries
2) Ctrl + C
3) Ctrl + V either in the same dataflow or in a different dataflow
This works for some queries, but not others (with same source but different steps). When it doesn't work, I get the message "We could not find queries in your clipboard".
Is the option to use the copy and paste shortcut only available to some queries but not others? I know I can copy from advance
An example of a query that does work:
let
Source = OData.Feed("link to sonarQube data", null, [Implementation = "2.0"]),
#"Navigation 1" = Source{[Name = "teams", Signature = "table"]}[Data],
#"Remove columns" = Table.RemoveColumns(#"Navigation 1", Table.ColumnsOfType(#"Navigation 1", {type table, type record, type list, type nullable binary, type binary, type function})),
#"Added custom" = Table.AddColumn(#"Remove columns", "Portfolio", each "Baggage Management"),
#"Transform columns" = Table.TransformColumnTypes(#"Added custom", {{"Portfolio", type text}}),
#"Replace errors" = Table.ReplaceErrorValues(#"Transform columns", {{"Portfolio", null}})
in
#"Replace errors"
An example of a query that didn't work:
let
Source = OData.Feed("link to sonarQube data", null, [Implementation = "2.0"]),
defects_table = Source{[Name = "defects", Signature = "table"]}[Data],
#"Removed other columns" = Table.SelectColumns(defects_table, {"creation_time", "id", "servicenow_id_udf", "area_path_ado_udf", "iteration_ado_udf", "has_attachments", "migrated_closing_date_udf", "repro_steps_udf", "committed_comments_udf", "rca_udf", "has_comments", "migrated_creation_dat_udf", "name", "target_fix_date_udf", "description", "closed_on", "committed_closure_dat_udf", "ado_id_udf", "parent", "release", "phase", "user_tags", "defect_origin_udf", "attachments", "linked_items1", "defect_source_udf", "responsible_team_udf", "run", "defect_type", "test", "author", "application_modules", "test_type_udf", "severity", "requirements"}),
#"Added custom" = Table.AddColumn(#"Removed other columns", "Portfolio", each "Communications & Data Exchange"),
#"Transform columns" = Table.TransformColumnTypes(#"Added custom", {{"Portfolio", type text}}),
#"Replace errors" = Table.ReplaceErrorValues(#"Transform columns", {{"Portfolio", null}}),
#"Remove columns" = Table.RemoveColumns(#"Replace errors", Table.ColumnsOfType(#"Replace errors", {type table, type record, type list, type nullable binary, type binary, type function}))
in
#"Remove columns"
Thank you!
Solved! Go to Solution.
You should probably open a support ticket with MS on this as that appears to be a bug caused by something specific to that query. There should be no restrictions as to what can/cannot be copied and pasted like that. You will need to have at least a Pro license, and can open a ticket at the bottom of this page - Support | Microsoft Power BI
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingYou should probably open a support ticket with MS on this as that appears to be a bug caused by something specific to that query. There should be no restrictions as to what can/cannot be copied and pasted like that. You will need to have at least a Pro license, and can open a ticket at the bottom of this page - Support | Microsoft Power BI
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingThank you for the advice, will do so!
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
30 | |
20 | |
19 | |
13 | |
13 |
User | Count |
---|---|
28 | |
18 | |
18 | |
16 | |
14 |