Uses one row from the dataset sample as the header row for the table. Each value in this row becomes the name of the column in which it is located. |
This transform might be automatically applied as one of the first steps of your recipe. See Initial Parsing Steps.
NOTE: If source row number information is not available due to changes in the dataset, this transform may not be available. |
NOTE: Each column in any row that is part of a column header in a dataset with parameters should have a valid value that is consistent with corresponding values across all files in the dataset. If your files have missing or empty values in rows that are used as headers in your recipe, these rows may be treated as data rows during the import process, which may result in unexpected or missing column values. For more information, see Create Dataset with Parameters. |
| header sourcerownumber: 4 |
Output: The values from Row #4 of the original dataset are used, if available, as the names for each column. If the row is not available, the specified row data can be retrieved, and the transform fails.
header sourcerownumber: row_num |
| Token | Required? | Data Type | Description |
|---|---|---|---|
| header | Y | transform | Name of the transform |
| sourcerownumber | Y | integer (positive) | Row number from the original data to use as the header. |
Example:
header sourcerownumber: 4 |
Output: Uses row #4 from the source row numbers of the sample as the header the columns.
| Required? | Data Type |
|---|---|
| Yes | integer (positive) |