Schedule the execution of SQL Server Integration Services (SSIS) packages deployed in Azure

Makale
02/28/2023

Applies to: SQL Server SSIS Integration Runtime in Azure Data Factory

You can schedule the execution of SSIS packages deployed to the SSISDB Catalog on an Azure SQL Database server by choosing one of the methods described in this article. You can schedule a package directly, or schedule a package indirectly as part of an Azure Data Factory pipeline. For an overview about SSIS on Azure, see Lift and shift SQL Server Integration Services workloads to the cloud.

Schedule a package directly
Schedule a package indirectly as part of an Azure Data Factory pipeline

Schedule a package with SSMS

In SQL Server Management Studio (SSMS), you can right-click on a package deployed to the SSIS Catalog database, SSISDB, and select Schedule to open the New schedule dialog box. For more info, see Schedule SSIS packages in Azure with SSMS.

This feature requires SQL Server Management Studio version 17.7 or higher. To get the latest version of SSMS, see Download SQL Server Management Studio (SSMS).

Schedule a package with SQL Database Elastic Jobs

For more info about elastic jobs on SQL Database, see Managing scaled-out cloud databases.

Prerequisites

Before you can use elastic jobs to schedule SSIS packages stored in the SSISDB Catalog database on an Azure SQL Database server, you have to do the following things:

Install and configure the Elastic Database jobs components. For more info, see Installing Elastic Database jobs overview.
Create database-scoped credentials that jobs can use to send commands to the SSIS Catalog database. For more info, see CREATE DATABASE SCOPED CREDENTIAL (Transact-SQL).

Create an elastic job

Create the job by using a Transact-SQL script similar to the script shown in the following example:

-- Create Elastic Jobs target group
EXEC jobs.sp_add_target_group 'TargetGroup'

-- Add Elastic Jobs target group member
EXEC jobs.sp_add_target_group_member @target_group_name='TargetGroup',
    @target_type='SqlDatabase', @server_name='YourSQLDBServer.database.windows.net',
    @database_name='SSISDB' 

-- Add a job to schedule SSIS package execution
EXEC jobs.sp_add_job @job_name='ExecutePackageJob', @description='Description', 
    @schedule_interval_type='Minutes', @schedule_interval_count=60

-- Add a job step to create/start SSIS package execution using SSISDB catalog stored procedures
EXEC jobs.sp_add_jobstep @job_name='ExecutePackageJob', 
    @command=N'DECLARE @exe_id bigint 
        EXEC [SSISDB].[catalog].[create_execution]
            @folder_name=N''folderName'', @project_name=N''projectName'',
            @package_name=N''packageName'', @use32bitruntime=0,
            @runinscaleout=1, @useanyworker=1, 
            @execution_id=@exe_id OUTPUT         
        EXEC [SSISDB].[catalog].[start_execution] @exe_id, @retry_count=0', 
    @credential_name='YourDBScopedCredentials', 
    @target_group_name='TargetGroup' 

-- Enable the job schedule 
EXEC jobs.sp_update_job @job_name='ExecutePackageJob', @enabled=1, 
    @schedule_interval_type='Minutes', @schedule_interval_count=60

Schedule a package with SQL Server Agent on premises

For more info about SQL Server Agent, see SQL Server Agent Jobs for Packages.

Prerequisite - Create a linked server

Before you can use SQL Server Agent on premises to schedule execution of packages stored on an Azure SQL Database server, you have to add the SQL Database server to your on-premises SQL Server as a linked server. The below example uses the Microsoft OLE DB Driver for SQL Server.

Set up the linked server

-- Add the SSISDB database on your Azure SQL Database as a linked server to your SQL Server on premises
EXEC sp_addlinkedserver
    @server='myLinkedServer', -- Name your linked server
    @srvproduct='',     
    @provider='MSOLEDBSQL', -- Microsoft OLE DB Driver for SQL Server
    @datasrc='<server_name>.database.windows.net', -- Add your Azure SQL Database server endpoint
    @location='',
    @provstr='',
    @catalog='SSISDB'  -- Add SSISDB as the initial catalog

Set up linked server credentials

-- Add your Azure SQL Database server admin credentials
EXEC sp_addlinkedsrvlogin
    @rmtsrvname = 'myLinkedServer',
    @useself = 'false',
    @rmtuser = 'myUsername', -- Add your server admin username
    @rmtpassword = 'myPassword' -- Add your server admin password

Set up linked server options

EXEC sp_serveroption 'myLinkedServer', 'rpc out', true;

For more info, see Create Linked Servers and Linked Servers.

Create a SQL Server Agent job

To schedule a package with SQL Server Agent on premises, create a job with a job step that calls the SSIS Catalog stored procedures [catalog].[create_execution] and then [catalog].[start_execution]. For more info, see SQL Server Agent Jobs for Packages.

In SQL Server Management Studio, connect to the on-premises SQL Server database on which you want to create the job.
Right-click on the SQL Server Agent node, select New, and then select Job to open the New Job dialog box.
In the New Job dialog box, select the Steps page, and then select New to open the New Job Step dialog box.
In the New Job Step dialog box, select SSISDB as the Database.

In the Command field, enter a Transact-SQL script similar to the script shown in the following example:

-- T-SQL script to create and start SSIS package execution using SSISDB stored procedures
DECLARE    @return_value int, @exe_id bigint 

EXEC @return_value = [YourLinkedServer].[SSISDB].[catalog].[create_execution] 
    @folder_name=N'folderName', @project_name=N'projectName', 
    @package_name=N'packageName', @use32bitruntime=0, @runincluster=1, @useanyworker=1,
    @execution_id=@exe_id OUTPUT 

EXEC [YourLinkedServer].[SSISDB].[catalog].[set_execution_parameter_value] @exe_id,
    @object_type=50, @parameter_name=N'SYNCHRONIZED', @parameter_value=1

EXEC [YourLinkedServer].[SSISDB].[catalog].[start_execution] @execution_id=@exe_id

Finish configuring and scheduling the job.

Schedule a package as part of an Azure Data Factory pipeline

You can schedule a package indirectly by using a trigger to run an Azure Data Factory pipeline that runs an SSIS package.

To schedule a Data Factory pipeline, use one of the following triggers:

To run an SSIS package as part of a Data Factory pipeline, use one of the following activities:

Next steps

Review the options for running SSIS packages deployed to Azure. For more info, see Run SSIS packages in Azure.

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