Null Value Replacement (DB)
Replaces null values of the selected fields of the data set with designated values. This is helpful as a pre-cleansing data step.
Information at a Glance
Note: You can also use this operator in a workflow that uses TIBCO® Data Virtualization and Apache Spark 3.2 or later.
Parameter |
Description |
---|---|
Category | Transform |
Data source type | DB |
Send output to other operators | Yes |
Data processing tool | n/a |
Note: The Null Value Replacement (DB) operator is for database data only. For Hadoop data, use the
Null Value Replacement (HD) operator.
Input
A data set from the preceding operator.
Configuration
Parameter | Description |
---|---|
Notes | Notes or helpful information about this operator's parameter settings. When you enter content in the Notes field, a yellow asterisk appears on the operator. |
Replace Null Columns | The columns in which to replace null values. See Null Value Replacement Configuration dialog (DB) for more information. |
Output Type |
|
Output Schema | The schema for the output table or view. |
Output Table | Specify the table path and name where the output of the results is generated. By default, this is a unique table name based on your user ID, workflow ID, and operator. |
Storage Parameters | Advanced database settings for the operator output. Available only for
TABLE output.
See Storage Parameters dialog for more information. |
Drop If Exists | Specifies whether to overwrite an existing table.
|
Output
Visual Output
The data rows of the output table or view displayed (up to 2000 rows of the data).
Data Output
A data set of the newly created table or view.