Execution plan azure data studio4/14/2023 ![]() you will have to learn how to read these plans differently because, well, they are different. you can’t open it as a graphical plan (and no, not even in that very popular third-party tool, i tried). it’s not the same as our old execution plans. See, that’s not a regular execution plan, at all. ( date not null, nvarchar(50) collate sql_latin1_general_cp1_ci_as, money not null ) with(data_compression=page) ![]() ( int not null, int not null, money not null ) with(data_compression=page) ( int not null, date not null ) with(data_compression=page) Select dd.fulldatealternatekey as orderdate, dc.lastname, sum(fis.salesamount) as sumsalesamount from dbo.factinternetsales as fis join dbo.dimdate as dd on fis.orderdatekey = dd.datekey join dbo.dimcustomer as dc on dc.customerkey = fis.customerkey group by dd.fulldatealternatekey, dc.lastname having sum(fis.salesamount) > 5000.0 order by orderdate descĬreate table. instead, i had to copy and paste the xml into an xml file window that i created within visual studio. In case you are completely new to ADS, this is the basic process to connect to a server. If you don't already have ADS, you can follow these steps to install ADS and we can start. in my version of visual studio (2015), i didn’t find that to be the case. Execution Plan in Azure Data Studio Installing Azure Data Studio. , i should be able to click on the xml and it will open up to explore. what you get is xml output in the results like this:Īccording to the documentation on explain this is how we generate an execution plan from within azure sql data warehouse. If i run this through the ssms query window, i get a syntax error. same thing if i try to capture a plan using visual studio. if i try to use t-sql commands, i get an error that those commands are not supported with this version of sql server. If i attempt to capture an execution plan using the sql server management studio gui, nothing happens. Select dd.fulldatealternatekey as orderdate, I’ve created a new sql data warehouse using the sample database available on the portal, adventureworksdw.
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