Regular readers of my blog may know that over the last year I have made available a suite of SQL Server Reporting Services (SSRS) reports that provide visualisations of the data in the SQL Server Integration Services (SSIS) 2012 Catalog. Those reports are available at http://ssisreportingpack.codeplex.com. As I have built these reports and used them myself on a real life project a couple of things have dawned on me: As soon as your SSIS Catalog gets a significant amount of data in it the performance of the reports degrades rapidly. This is hampered by the fact that there are limitations as to the SQL statements that I can embed within a SSRS report. SSIS professionals are data guys at heart and those types of people feel more comfortable in a query environment rather than having to go through the rigmarole of standing up a reporting server (well, I know I do anyway) Hence I have decided to take a different tack with the reporting pack. Taking my lead from Adam Machanic’s sp_whoisactive and Brent Ozar’s sp_blitz I have produced sp_ssiscatalog, a stored procedure that makes it easy to get at the crucial data in the SSIS Catalog. I will spend the rest of this blog explaining exactly what sp_ssiscatalog does and how to use it but if you would rather just download the bits yourself and start to play you can download v1.0.0.0 from DB v1.0.0.0. Usage Scenarios Most Recent Execution I find that the most frequent information that one needs to get from the SSIS Catalog is information pertaining to the most recent execution. Hence if you execute sp_ssiscatalog with no parameters, that is exactly what you will get. EXEC [dbo].[sp_ssiscatalog]
This will return up to 5 resultsets:
EXECUTION - Summary information about the execution including status, start time & end time
EVENTS - All events that occurred during the execution
OnError,OnTaskFailed - All events where event_name is either OnError or OnTaskFailed
OnWarning - All events where event_name is OnWarning
EXECUTABLE_STATS - Duration and execution result of every executable in the execution
All 5 resultsets will be displayed if there is any data satisfying that resultset. In other words, if there are no (for example) OnWarning events then the OnWarning resultset will not be displayed.
The display of these 5 resultsets can be toggled respectively by these 5 optional parameters (all of which are of type BIT):
@exec_execution
@exec_events
@exec_errors
@exec_warnings
@exec_executable_stats
Any Execution
As just explained the default behaviour is to supply data for the most recent execution. If you wish to specify which execution the data should return data for simply supply the execution_id as a parameter:
EXEC [dbo].[sp_ssiscatalog] 6
All Executions
sp_ssiscatalog can also return information about all executions:
EXEC [dbo].[sp_ssiscatalog] @operation_type='execs'
The most recent execution will appear at the top.
sp_ssiscatalog provides a number of parameters that enable you to filter the resultset:
@execs_folder_name
@execs_project_name
@execs_package_name
@execs_executed_as_name
@execs_status_desc
Some typical usages might be:
//Return all failed executions
EXEC [dbo].[sp_ssiscatalog] @operation_type='execs',@execs_status_desc='failed'
//Return all executions for a specified folder
EXEC [dbo].[sp_ssiscatalog] @operation_type='execs',@execs_folder_name='My folder'
//Return all executions of a specified package in a specified project
EXEC [dbo].[sp_ssiscatalog] @operation_type='execs',@execs_project_name='My project', @execs_package_name='Pkg.dtsx'
Installing sp_ssicatalog
Under the covers sp_ssiscatalog actually calls many other stored procedures and functions hence creating it on your server is not simply a case of running a CREATE PROCEDURE script. I maintain the code in an SQL Server Data Tools (SSDT) database project which means that you have two ways of obtaining it.
Download the source code
You can download the latest (at the time of writing) source code from http://ssisreportingpack.codeplex.com/SourceControl/changeset/view/70192.
Hit the download button to download all the source code in a zip file. The contents of that zip file will include an SSDT database project which you can open up in SSDT and publish just like any other SSDT database project. You can publish to a new database or any existing database, even [SSISDB] if you prefer.
Download a dacpac
Maintaining the code in an SSDT database project means that it can all get packaged up into a dacpac that you can then publish to your SQL Server. That dacpac is available from DB v1.0.0.0:
Ordinarily a dacpac can be deployed to a SQL Server from SSMS using the Deploy Dacpac wizard however in this case there is a limitation. Due to sp_ssiscatalog referring to objects in the SSIS Catalog (which it has to do of course) the dacpac contains a SqlCmd variable to store the name of the database that underpins the SSIS Catalog; unfortunately the Deploy Dacpac wizard in SSMS has a rather gaping limitation in that it cannot deploy dacpacs containing SqlCmd variables. Hence, we can use the command-line tool, sqlpackage.exe, instead. Don’t worry if reverting to the command-line sounds a little daunting, I assure you it is not. Simply open a Visual Studio command-prompt and cd to the folder containing the downloaded dacpac:
Type:
"%PROGRAMFILES(x86)%\Microsoft SQL Server\110\DAC\bin\sqlpackage.exe" /action:Publish /TargetDatabaseName:SsisReportingPack /SourceFile:SSISReportingPack.dacpac /Variables:SSISDB=SSISDB /TargetServerName:(local)
or the shortened form:
"%PROGRAMFILES(x86)%\Microsoft SQL Server\110\DAC\bin\sqlpackage.exe" /a:Publish /tdn:SsisReportingPack /sf:SSISReportingPack.dacpac /v:SSISDB=SSISDB /tsn:(local)
remembering to set your server name appropriately (here mine is set to “(local)” ).
If everything works successfully you will see this:
And you’re done! You’ll have a new database called [SsisReportingPack] which contains sp_ssiscatalog:
Good luck with sp_ssiscatalog. I have been using it extensively on my own projects recently and it has proved to be very useful indeed. Rest-assured however, I will be adding many new capabilities in the future.
Feedback is welcome.
@Jamiet
