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Transpose Rows

The Transpose Rows component enables users to combine multiple rows into a single output row (one row for each value of the columns specified in the Groupings parameter).

In Snowflake environments, this component concatenates each value into a delimited string in the output. You could then use a Split Field component after the Transpose Rows component to convert the delimited strings into a set of new columns, if required.

In Databricks environments, this component returns values as Databricks ARRAY <String> types. Note that these values can't be manipulated by a Split Field component as described above for Snowflake.

Note

Use the Transpose Columns component if you want to map sets of input columns into new output columns.


Properties

Name = string

A human-readable name for the component.


Aggregations = dual listbox

The input column to aggregate.


Sort Order = dual listbox

Rows included in the "groupings" are ordered using this Sort Order parameter. If you're performing multiple transpositions, ordering will ensure that the items are in a consistent order.


Groupings = dual listbox

One or more source columns that form the groupings. The output will have one row for every combination of grouping column values.

Name = string

A human-readable name for the component.


Aggregations = dual listbox

The input column to aggregate.


Sort Order = dual listbox

Rows included in the "groupings" are ordered using this Sort Order parameter. If you're performing multiple transpositions, ordering will ensure that the items are in a consistent order.


Groupings = dual listbox

One or more source columns that form the groupings. The output will have one row for every combination of grouping column values.


Snowflake Databricks Amazon Redshift (preview)