While transforming your data, you may need to change the data type of one or more columns.
For example, data of String type may be the easiest to manipulate. Since there are no mismatched values for String data type, you may wish to change a column's data type to this baseline type.
Tip: You can use the Change Column Type transformation to override the data type inferred for a column. However, if a new transformation step is added, the column data type is re-inferred, which may override your specific typing. You should consider applying Change Column Type transformations as late as possible in your recipes.
For more information on the available data types, see Supported Data Types.
You can change a column's data type in one of the following ways:
You can change the data type for individual columns through the following column menus:
To the left of the column name, you can click the icon and select a new data type from the list.
Column Data Type Menu
To the right of the column name, you can click the caret to open the column menu. Select Change Type and make a selection from the sub-menu.
Tip: Both of the above methods become individual steps in your recipe.
You can change data type for a single column or multiple columns through the Transform Builder. You can use a transformation like the following, which changes the columns
Address to String data type.
NOTE: You can lock the data type for columns to prevent it from being updated when the data is transformed in subsequent steps.
NOTE: When specifying a data type by name, you must use the internal value for the data type. The value in the column menu is the display name for the type.
For more information, see Valid Data Type Strings.
You can lock a column's data type through the Transform Builder. When a column's data type is locked, the data type is no longer automatically checked and updated by the .
Tip: If you do not wish to have the data types modified, you can add a transformation to lock all of them in a single step. Details are below.
lock column type.
All: Select all columns in the dataset.
NOTE: This option locks all the column's data type.
Advanced: Specify the columns using a comma-separated list. You can combine multiple and range options under Advanced. Example:
This transformation locks the column data type:
This transformation locks the data types for all columns:
Tip: Many transformations support the Advanced option for column selection. You can specify column ranges, including all columns using the asterisk (
You can unlock a column's data type by following any one of these methods:
In the Transformer Builder, you can select unlock to the current type option to apply the unlock feature to one or more columns.
This transformation unlocks the column data type:
You can unlock the data type for individual columns through the following column menus:
If you are changing a column's data type to Datetime, you must also select a format string to apply to the column.
You can apply a Datetime data type through the column menus. When you choose the Datetime data type, you must apply a format for your Datetime values. For more information, see Choose Datetime Format Dialog.
In the Transformer Builder, you can apply a specific transformation to format one or more columns to Datetime data type, using a specific format.
Tip: You can use the following transformation to change the format of a Datetime column.
This transformation looks like the following: