To optimize a mapping, add the mapping to a task, and then configure
SQL ELT optimization
in the
mapping
task.
Create a
mapping
task.
In the
SQL ELT Optimization
section on the Runtime Options tab, set the
SQL ELT optimization
value to
Full
or
To Source
.
You can use Source
SQL ELT optimization
only when you read from a Microsoft Azure Synapse SQL source.
The Optimization context type option is not applicable for a Microsoft Azure Synapse SQL mapping task.
If full
SQL ELT optimization
is not available, select how Data Integration handles
SQL ELT optimization
in the
SQL ELT Optimization
Fallback Option menu
:
Partial
SQL ELT optimization
. Default. Data Integration pushes as much transformation logic as possible to the source and target database. The task processes any transformation logic that it can't push to a database. You can use Partial
SQL ELT optimization
only when you read from and write to Microsoft Azure Synapse SQL.
Non
SQL ELT optimization
. The task runs without
SQL ELT optimization
.
Fail Task. Data Integration fails the task.
The fallback options are not applicable to mappings in advanced mode.
When you run the mapping task, the transformation logic is pushed to the
Microsoft Azure Synapse SQL
. To verify that the
SQL ELT optimization
has taken place, you can check the session log for the job.
You can monitor the jobs that you initiated on the
My Jobs
page. You choose to stop or clean stop a job. When you use clean stop, Data Integration terminates all the issued statements and processes spawned by the job.
This is not applicable to mappings in advanced mode