What are the different types of transformations in SSIS?
| Non-Blocking transformations | Semi-blocking transformations | Blocking transformations |
| Conditional Split | Merge Join | Fuzzy Lookup |
| Copy Column | Pivot | Row Sampling |
| Data Conversion | Unpivot | Sort |
| Derived Column | Term Lookup | Term Extraction |
- Non-Blocking Synchronous Streaming Transformations (Fastest)
- Non-Blocking Synchronous Row-Based Transformations (Fast)
- Semi-Blocking Asynchronous Transformations (Medium)
- Fully Blocking Asynchronous Transformations (Slowest)
What is transformation in SSIs?
SSIS Transformations. The SSIS transformations are the data flow components that are used to perform aggregations, sorting, merging, modifying, joining, data cleansing, and distributing the data. Apart from these, there is an important and powerful transformation in SSIS called Lookup transformation to perform lookup operations.
What are the different types of transformations in SQL Server?
This transformation is classified into the following six types. Character Map Transformation: The Character Map transformation allows you to do character operations on string columns. It makes common string data changes for you. Copy Column Transformation: This transformation is used to add a copy of column to the transformation output.
What is the difference between aggregation and synchronous transformation in SSIs?
In the above example we have applied SUM aggregation but Aggregation transformation provides other options to aggregate data like Count, Count distinct, Average, Minimum and Maximum. Synchronous transformation, allows you to send the data from a single data path to various outputs or paths based on conditions that use the SSIS expressions.
What are the different types of data transformation in SAP?
This transformation is classified into the following five types: Audit Transformation: This transformation is used to expose auditing information from the package to the data pipe, such as package execution and Execution Time. Row Count Transformation: This transformation is used to count the rows in the data flow and stores them as a variable.
What are the different types of transformations available in data flow task?
SSIS Data Flow Transformations Aggregate: Like a GROUP BY in T-SQL. Conditional Split: Splits out streams based on one or more conditions. Data Conversion: Allows you to convert columns from one data type to another. Derived Column: Allows you to manipulate existing columns or create new columns using expressions.
What is transformation flow in SSIS?
SQL Server Integration Services transformations are the components in the data flow of a package that aggregate, merge, distribute, and modify data. Transformations can also perform lookup operations and generate sample datasets.
What are the different types of containers in SSIS?
There are three types of containers in the Control Flow tab: Sequence, For Loop, and Foreach Loop Containers.
What are synchronous and asynchronous transformations in SSIS?
All source adapters are asynchronous, they create two buffers; one for the success output and one for the error output. All destination adapters, on the other hand, are synchronous. Semi-Blocking Asynchronous Transformations require a subset of the data to be collected before they can be sent to the destination(s).
What is aggregate transformation in SSIS?
The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across.
What is Merge transformation in SSIS?
The Merge transformation combines two sorted datasets into a single dataset. The rows from each dataset are inserted into the output based on values in their key columns.
What is blocking transformation in SSIS?
Fully Blocking Asynchronous Transformations are the slowest transformations. They require all the data to be pulled from the source(s) before they can be sent to the destination(s). All source data must be loaded into memory first – ouch!
What is parallel execution in SSIS?
What Is Parallel Execution In SSIS, How Many Tasks A SSIS Package Can Execute In Parallel? In simple words, If you place more than one Task on Control Flow pane and do not connect them by using Precedence constraint, the Tasks will run in Parallel.
What are SSIS components?
Following are components of SSIS architecture:Control Flow (Stores containers and Tasks)Data Flow (Source, Destination, Transformations)Event Handler (sending of messages, Emails)Package Explorer (Offers a single view for all in package)Parameters (User Interaction)
What is difference between Merge and Union all in SSIS?
The main difference is that Union All doesn't require that the data sources are sorted, nor does its output. Besides, Union All accepts more than two inputs while Merge transformation doesn't. Before illustrating how to use the Merge transformation, we will explain several approaches to sort data sources in SSIS.
What is difference between Merge and Merge Join in SSIS?
We can use Merge Join based on specific condition like combining data on matching keys with that Inner, Left and full. Merge Join component accepts only 2 sorted (compulsory) inputs and one output and one error output. Unlike Merge, Merge Join combines data depending on matching keys or string name.
What is Fuzzy Lookup transformation in SSIS?
The Fuzzy Lookup Transformation in SSIS is used to replace the wrongly typed words with correct words. Unlike Lookup Transformation, the Fuzzy Lookup transformation in SSIS uses fuzzy matching to find one or more close matches in the reference table and replace the source data with reference data.
What is transformation in SQL Server?
SQL Server Integration Services (SSIS) has transformations, which are key components to the Data Flow, that transform the data to a desired format as data moves from one step to another step. Transformation in SSIS is all done in-memory; after adding a transformation the data is altered and passed down the path in the Data Flow.
What is synchronized transformation?
Synchronous transformation is used for data conversion. It is a similar function to the Convert or Cast functions in T-SQL. It is a very useful transformation if we are pulling same data from multiple sources.
What is partial blocking transformation?
Partial blocking transformation is that transformation which creates new memory buffers for the output of the transformation than what come into the transformation, like Union All Transformation; fully blocking transformations also require a new memory buffer similar to partial blocking.
Introduction
In this article, I will list and define the various types of Transformations in SSIS-2012 Version.
Split and Join Transformations
Cache Transformation: This transformation is used to store the data as a file or in memory for use in a lookup transformation
Row Set Transformations
Aggregate Transformation: This transformation is used to aggregates the data from transformation or source and it aggregates the values by group.
Other SSIS Transformations
Audit Transformation: This transformation is used to expose auditing information from the package to the data pipe, such as package execution and Execution Time.
Summary
In this article, I try to explain the various types of SSIS-2012 Transformations. I hope after reading this article your SSIS-2012 Transformation concepts will be strong. I would like to have feedback from my readers. Please post your feedback, question, or comments about this article.
What is derived column transformation?
The Derived Column Transformation creates a new column that is calculated (derived) from the output of another column or set of columns. It is one of the most important transformations in your Data Flow arsenal. You may wish to use this transformation, for example, to multiply the quantity of orders by the cost of the order to derive the total cost of the order, as shown in Figure. You can also use it to find out the current date or to fill in the blanks in the data by using the ISNULL function. This is one of the top five transformations that you will find yourself using to alleviate the need for TSQL scripting in the package.
What is a synchronous transformation?
Synchronous transformations are components such as the Derived Column and Data Conversion Transformations, where rows flow into memory buffers in the transformation, and the same buffers come out. No rows are held, and typically these transformations perform very quickly, with minimal impact to your Data Flow.
What is audit transformation?
The Audit Transformation allows you to add auditing data to your Data Flow. Because of acts such as HIPPA and Sarbanes-Oxley (SOX) governing audits, you often must be able to track who inserted data into a table and when. This transformation helps you with that function. The task is easy to configure. For example, to track what task inserted data into the table, you can add those columns to the Data Flow path with this transformation. The functionality in the Audit Transformation can be achieved with a Derived Column Transformation, but the Audit Transformation provides an easier interface.
How to do character mapping transformation?
This simple transformation can be configured in a single tab. To do so, check the columns you wish to transform. Then, select whether you want this modified column to be added as a new column or whether you want to update the original column. You can give the column a new name under the Output Alias column. Lastly, select the operation you wish to perform on the inputted column. The available operation types are as follows:
How to use multicast transformation?
To configure this transformation, simply connect it to your input, and then drag the output path from the Multicast Transformation onto your next destination or transformation. After you connect the Multicast Transformation to your first destination or transformation, you can keep connecting it to other transformations or destinations. There is nothing to configure in the Multicast Transformation Editor other than the names of the outputs.
SSIS Derived Column Transformation
The Derived Column transformation has the ability to either modify existing columns or add new columns to the buffer. You can open the editor by double-clicking the component.
SSIS Lookup Component
With a lookup, we can match our current columns against a reference dataset and retrieve one or more columns if a match has been found. In our dataset, we have the StateProvinceID column. We are going to fetch the full name of the State/Province. Drag a Lookup transformation to the canvas and open the editor.
