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BiJoe's avatar
BiJoe
Icon for Helper II rankHelper II
2 years ago
Solved

Fabric warehouse create table as

I did not find a Warehouse category, so I'm asking here.   In a newly created Fabric Warehouse, I want to create a date dimension table from a query. I can't make the CREATE TABLE or INSERT INTO wo...
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  • BiJoe's avatar
    BiJoe
    2 years ago

    Anonymous you are right, I made this work

     

    CREATE table [dbo].test AS
WITH x AS (SELECT n FROM (VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) v(n)),
date_basic as (
SELECT TOP (DATEDIFF(DAY, '1970-01-01', '2099-12-31') + 1)
        ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1 AS N
FROM x ones, x tens, x hundreds, x thousands
ORDER BY 1),
dates as (
SELECT
    CAST(DATEADD(DAY, date_basic.N, '1970-01-01') AS DATE) AS date
FROM date_basic)
select * from dates

     

BiJoe's avatar
BiJoe
Icon for Helper II rankHelper II
2 years ago

I tried to add content by editing original post, but the editor wiped out all content due to "invalid HTML" >.< 

The following results in "The query references an object that is not supported in distributed processing mode."

WITH date_basic AS (
    SELECT TOP (DATEDIFF(DAY, '1970-01-01', '2099-12-31') + 1)
        ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1 AS N
    FROM sys.all_columns AS AC1
    CROSS JOIN sys.all_columns AS AC2
), 
dates as (
SELECT
    CAST(DATEADD(DAY, date_basic.N, '1970-01-01') AS DATE) AS date_test
FROM date_basic)

insert [dbo].test (date_test)

select * from dates
go

 

Anonymous's avatar
Anonymous
Not applicable
2 years ago

Hi BiJoe 
Thanks for using Fabric Community.
The error The query references an object that is not supported in distributed processing mode indicates that you've used an object or function that can't be used while you query data in Microsoft Fabric Warehouse.
Fabric Warehouse uses distributed processing for performance, but some objects and constructs aren't supported in this mode. The error message indicates that your query references an unsupported object, likely sys.all_columns.

 

 

You can refer to this link for more information: Link1

Hope this helps. Please let me know if you have any further questions.