extract transformation load data agggregation

Setting the IsBig property to 1 affects the output of the aggregation transformation in the following ways: If a column value may exceed 4 billion or a precision beyond a float data type is required, IsBig should be set to 1. The Aggregation transformation includes the IsBig property, which you can set on output columns to invoke special handling of big or high-precision numbers. In the COUNT (*) function, all rows are counted, including rows with null values.Ī column may contain numeric values that require special consideration because of their large value or precision requirements. 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. If the grouping column contains more than one null value, the null values are put into a single group. In a GROUP BY clause, nulls are treated like other column values.

The behavior is defined in the SQL-92 standard. The Aggregate transformation handles null values in the same way as the SQL Server relational database engine. In contrast to the Transact-SQL MAX function, this operation can be used only with numeric, date, and time data types. For more information, see MAX (Transact-SQL). In contrast to the Transact-SQL MIN function, this operation can be used only with numeric, date, and time data types.

For more information, see MIN (Transact-SQL). Returns the number of unique nonnull values in a group. For more information, see COUNT (Transact-SQL). For more information, see AVG (Transact-SQL). Only columns with numeric data types can be averaged. Returns the average of the column values in a column. For more information, see SUM (Transact-SQL). Only columns with numeric data types can be summed. For more information, see GROUP BY (Transact-SQL). Columns of any data type can be used for grouping. The Aggregate transformation supports the following operations. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across. The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output.

SSIS Integration Runtime in Azure Data Factory

Extract transformation load data agggregation