Count Returns a count of the non-Null values for the specified field. For full details, read the documentation for Snowflake. Returns a window event number for each row within a window partition based on the result of a boolean argument. Returns a window event number for each row where the value of an argument is different from the value of the argument in the previous row. Returns the bitwise XOR value of all non-Null numeric records in a group. Bit XOR Aggregate (BITXOR_AGG) Snowflake only. Returns the bitwise OR value of all non-Null numeric records in a group. Bit OR Aggregate (BITOR_AGG) Snowflake only. Returns the bitwise AND value of all non-Null numeric records in a group. Bit AND Aggregate (BITAND_AGG) Snowflake only. For full details, read the documentation for Snowflake, Redshift, BigQuery, Databricks, or Synapse. Average (AVG) Returns the average (arithmetic mean) of the input column values in the window. Returns the input values, pivoted into an array. Array Aggregate (ARRAY_AGG ) Snowflake only. Uses HyperLogLog to return an approximation of the distinct cardinality of the input. Approximate Count (APPROX_COUNT ) Snowflake only. Returns some value of the expression from the group. Matillion ETL currently supports the following window functions: Window function Description Any Value Snowflake only. Window functions operate on a partition or "window" of a data set, and return a value for every row in that window. Window functions provide you with the ability to create analytical business queries more efficiently. Generates a SELECT statement with a window function in-line using the OVER keyword. For each function, select the Input Column that the function will act on and the Output Column that the result will be written to. See the list of supported functions below. Functions Select Select a Window Function to apply to be performed on the rows contained in the window. Upper Bound Offset Integer If the Upper Bound property is set to offset following, enter the number of rows after the current row that the window will end on. Lower Bound Offset Integer If the Lower Bound property is set to offset preceding, enter the number of rows before the current row that the window will start on. This requires you to set the Upper Bound Offset property. Offset following: The window ends a number of rows (offset) after the current row. Unbounded following: The window ends at the last row of the partition.Ĭurrent row: The window ends at the current row. Select which row of the partition the window calculation will end on. Upper Bound Select This property is visible after Ordering within partitions is set. This requires you to set the Lower Bound Offset property. Offset preceding: The window starts a number of rows (offset) before the current row. Unbounded preceding: The window starts at the first row of the partition.Ĭurrent row: The window starts at the current row. Select which row of the partition the window calculation will start on. Lower Bound Select This property is visible after Ordering within partitions is set. You can drag the selected columns to re-order the sort level if required. You can select multiple columns to create a complex sort. For each column, select the sort order: Asc (sort ascending), Desc (sort descending) Nulls First (sort null values first), or Nulls Last (sort null values last). Ordering within partitions List of Columns Select the columns that will be used to sort the partitioned data. The window calculation will be performed on each partition. Partition Data List of Columns Select the columns that will define how the input data is partitioned. Include Input Columns Yes/No Defines whether the component passes all input columns into the output. Properties Property Type Description Name Text A human-readable name for the component.
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