Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Similar functionality while using the SQL Kernel would be extremely helpful. For example, given the following input parameters:
$DB_1 = WWI_PROD (could change parameter to WWI_DEV or WWI_TEST, etc.)
$DB_2 = REF_PROD (could change parameter to REF_DEV or REF_TEST, etc.)
$STR_VAL = some string
$INT_VAL = 22.3
This sample query's parameters would be substituted:
select st.val1
, ot.val2
from $WWI.dbo.some_table st
join $REF.dbo.lookup_table ot
on st.lkp_key = ot.lkp_key
where st.val1 = '$STR_VAL'
and ot.val2 = $NUM_VAL
;
And would be executed in the Notebook as:
select st.val1
, ot.val2
from WWI_PROD.dbo.some_table st
join REF_PROD.dbo.lookup_table ot
on st.lkp_key = ot.lkp_key
where st.val1 = 'some string'
and ot.val2 = 22.3
;
If multiple databases, representing different promotion paths, are on the same server, this allows for a consistent way to execute the same Notebook in Dev, Test or Prod.
This video illustrates Notebook Parameters using the PowerShell or Python Kernel: How to Parameterize Notebooks for Automation in Azure Data Studio
Similar functionality while using the SQL Kernel would be extremely helpful. For example, given the following input parameters:
This sample query's parameters would be substituted:
And would be executed in the Notebook as:
If multiple databases, representing different promotion paths, are on the same server, this allows for a consistent way to execute the same Notebook in Dev, Test or Prod.