You will find below a screen capture with an example control task and its corresponding data flow view. Connections In data flow, we generally take data from a source the extract , we eventually process these data transform and store it to a destination load.
Source and destination are defined by connections. Multiple connections can be used in a single package. During the creation, we will set properties that describe the physical connection to be used during the execution of this package. Amongst those properties, we will find the kind of connection Excel, CSV, etc. This will allow you to simplify debugging and tracing. I recommend setting this property in any application you develop.
As an example, you will find ID for our demo Package. This identifier is generated at creation and can be generated at any time, on demand. This identifier is used for logging and some other available functions. A lot of SSIS developers have the common habit that consists in creating a package template. The advantage is that they can reuse it for their future developments. Here are some variables defined in our demo package :.
As in any programming language, variables holds values available at runtime. For instance, the User ::ErrorCount variable will hold the number of errors that occurred during execution. Another common usage of variables consists in keeping connection strings that are generated based, for instance, on the content of a SQL Server table.
They are defined as follows :. Package organization: folders Finally, last but not least thing to know, packages can be grouped in package folders. We can build a more or less complex hierarchy or simply group packages by project or by functionality.
For instance :. You will find an example of its contents below. For those who are not used to this term, here is a definition from Wikipedia:. It can be used by programmers to verify each piece of item content in a document. They can check if it adheres to the description of the element it is placed in.
The corresponding definition can be seen on this page. In this article, we extract information on SSIS packages that are stored in msdb database. For that purpose, Microsoft provided us three tables. You will notice that only two of them are relievant to be used in the following of this article. Contains one row for each logging entry that is generated by packages or their tasks and containers at run time. Once created, you can either run it when desired or let it run automatically based on the schedules you defined.
Anyway, SQL Server Agent will just take the role of an interface to a command line tool called « dtutil ». You will find such a list in the table below. The purpose of this list is not to be exhaustive, but feel free to contact me with suggestions. Based on these questions and everything we discussed above, we can list the following actions :.
Well, while the target is well known, we still need to take the time to answer the following question : « how will we do it? Actually, the answer will be pretty « simple ». While this table will allow us to list SSIS packages action 1 , the packagedata column can be used as input to extract attributes of a SSIS package like the connections action 2. This table alone should be enough, but if you want to get the full path of a given SSIS Package, there is some more work to do.
This table contains a folderid column that refers to the key column with the same name in msdb. Folders can be structured and have a parent folder. You will find below the TSQL statements to create such a table. The following table maps the columns created in last T-SQL statement with the answers we need to provide.
While the PackageRunningId column could be used as the primary key for this table. There are other columns we also keep as they might be useful one day. For instance, the isEncrypted column may allow us to pinpoint the need to extract a certificate or to get a password used to encrypt this package.
We will also take other columns for eventual analysis. It then transforms the said data according to the requirements by individual businesses, and loads it into that particular destination hence ETL.
Even though it was an integral part of the server, DTS was also easily used independently from the Microsoft server, in conjunction with other databases. As such, SSIS does not require a separate installation. It can be used for anything that allows the user to communicate through an active connection. It includes graphical tools and wizards in order to build and debug packages, all tasks that are used to perform workflow functions for several different operations such as FTP operations , execute SQL statements, or send email.
There are also data sources that are used to extract and load data, and transformations that used to clean, aggregate, merge, and copy data. As a part of the version of the SQL Server, programmers were allowed to save packages in a Visual Basic language file — unless, of course, they found another language file more sufficient.
When saved as a VB file, the package is scripted in order to create the objects and component objects found in the package. Table 1 shows the connection details. A DTS package usually includes one or more tasks. Each task defines a work item that may be performed during package execution. Table 2 shows some of the tasks generally used. When you define a group of tasks, there is usually an order in which the tasks should be performed.
When tasks have an order, each task becomes a step of a process. In DTS Designer, you manipulate tasks on the DTS Designer design sheet and use precedence constraints to control the sequence in which the tasks execute.
Table 3 shows the workflow precedence and description. Scenario Assume that you want to transfer data from one table to another table using some parameters here date is considered as a parameter. Before transferring the data we can check the date values using ActiveX Script.
Here you can mention the connection details of the database server. For source and destination database servers you need to create two connection objects. Figure 1 illustrates the steps. To pass the variable s to a query we need to create global variable s. These variable s can also be used in ActiveX Script also.
You can run these scripts before or after the required tasks. Here the script is used to validate the date stored in global variables. Figure 2 shows the ActiveX Script for this scenario.
You use the Transform Data task to copy data between a source and destination and to optionally apply column-level transformations to the data. We can configure the properties associated with this task by right-clicking on the relevant Transform Data Task and selecting properties. Here you can map the global variables to the input parameters.
Transactions play a very important role in database. By default it is enabled. The SendMailTask object lets you send an e-mail as a task. For example, if you want to notify a database administrator about the success or failure of a particular task such as a backup , you can link a SendMailTask object with a precedence constraint to the previous task. In this scenario we have created two send mail tasks, one for success and other for failure.
Using workflow task we can say prioritize which task needs to be executed after task i. Various precedence available are: Success, Failure and Completion. In this scenario we have created two workflow properties, one for success and other for failure of data transfer task.
I was stuck at finding a solution to if a DTS Package is executing or not. It could have been started with the scheduler, or started manually. The only solution to this problem which I could come up with without any code changes to the package itself, was to enable Logging to SQL Server, and then checking the state of the package in the sysdtspackagelog table by the following query.
The various details of the scheduled DTS packages are available in sysdtspackagelog , sysdtssteplog and sysdtstasklog tables in the msdb database. The sysdtspackagelog contains the details at package level with columns such as name, lineagefull, start time, end time, computer, operator, logdate, error code, error description etc.
The sysdtssteplog table contains the details at step level with columns such as lineagefull, step name, start time, end time, error code, error description, etc.
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