Monday, November 12, 2018

SSIS - How does Aggregate Transformation work

In this tutorial, we are going to learn how does Aggregate Transformation work in SSIS package. The Aggregate transformation is used to perform aggregate operations/functions on groups in a dataset. The aggregate functions available are- Count, Count Distinct, Sum, Average, Minimum and Maximum. The Aggregate transformation has one input and one or more outputs.

The Aggregate transformation handles null values in the same way as the SQL Server relational database engine. The behaviour is defined in the SQL-92 standard. The following rules apply:
  • In a GROUP BY clause, nulls are treated like other column values. If the grouping column contains more than one null value, the null values are put into a single group.
  • In the COUNT (column name) and COUNT (DISTINCT column name) functions, nulls are ignored and the result excludes rows that contain null values in the named column.
  • In the COUNT (*) function, all rows are counted, including rows with null values.
Aggregate Transformation Configuration - You configure the Aggregate transformation at the transformation, output, and column levels. At the transformation level, you configure the Aggregate transformation for performance by specifying the following values:
  1. The number of groups that are expected to result from a Group by operation. They are mostly are string values.
  2. The number of distinct values that are expected to result from a Count distinct operation. These values could be string or numeric.
  3. The percentage by which memory can be extended during the aggregation.
  4. The Aggregate transformation can also be configured to generate a warning instead of failing when the value of a divisor is zero.

For more on Aggregate Transformation - Watch a Live demo here

ConclusionThe Aggregate transformation is asynchronous, which means that it does not consume and publish data row by row. Instead it consumes the whole rowset, performs its groupings and aggregations, and then publishes the results.


  1. The appropriate response is a major YES for heap reasons. Digitalization over the areas is making huge amounts of information and the interest for the Data Science experts who can assess and remove important bits of knowledge is expanding and making a great many occupations in the space of Data Science. data science course in pune

  2. I was blown out after viewing the article which you have shared over here. So I just wanted to express my opinion on Data Science, as this is best trending medium to promote or to circulate the updates, happenings, knowledge sharing.. Aspirants & professionals are keeping a close eye on Data science course in Mumbai to equip it as their primary skill.

  3. Just saying thanks will not just be sufficient, for the fantastic lucidity in your writing. I will instantly grab your articles to get deeper into the topic. And as the same way ExcelR also helps organisations by providing
    Data science course based on practical knowledge and theoretical concepts. It offers the best value in training services combined with the support of our creative staff to provide meaningful solution that suits your learning needs.

  4. I feel very grateful that I read this. It is very helpful and very informative and I really learned a lot from it.
    project management certifications

  5. Such a very useful article. I have learn some new information.thanks for sharing.
    data scientist course in mumbai

  6. Great post i must say and thanks for the information. Education is definitely a sticky subject. However, is still among the leading topics of our time. I appreciate your post and look forward to more.
    Data Analytics Course in Mumbai

  7. Such a very useful article. Very interesting to read this article. I have learn some new information.thanks for sharing. ExcelR


Popular Posts

Get Sponsored by Big Brands