Editing settings for added columns
If you have added columns from a different source to a data table, there may be occasions when you need to update the settings used for matching the data from different sources together. For example, a column used for matching linked data may have been renamed or removed in either of the sources, or the selected join type might not provide the expected result.
On the authoring bar, click
Make sure the data table of interest is selected in the upper-left drop-down list.
Data canvas, click the settings button on the
Added columns node.
The Settings for added columns dialog shows a preview of the data, using the current settings. You can change the Number of input rows to include more rows (from both input tables) in the sample calculation. This may increase the accuracy of the shown result. However, using too many rows can decrease the performance of the preview.
Settings for added columns dialog, verify that the column matching is still valid, or edit the matching as desired. This is done by editing, adding or removing matches.
If an earlier match is broken, an exclamation mark is shown on the row. To edit a match, click on the row with the match and select one column From original data and one From new data. Click on the x on a row to remove a match. You can also add a new match.
- Review the columns available under Columns from new data and modify which columns to include or exclude by selecting or clearing the check box for each column.
Look at the interactive Join example, at the bottom of the Join settings field, for information about how rows will be matched using the different join types.You can specify whether or not to match on empty values using the Treat empty values as equal check box.
- When you are done, click OK.
Example: Editing the Join settings for added columns
In this example, columns have been added from Salesforce to a data table originally based on a local Excel file. After analyzing the combined data table, it was discovered that not all of the expected rows from the Salesforce data were available. In this case, it is possible to fix the issues by editing the join settings for the added columns.
In the Data canvas, click the settings icon on the Added columns node:
This opens the Settings for added columns dialog. By inspecting the Join settings section and trying out the interactive join example, it was concluded that the currently selected join type, left outer join, was unsuitable for the current use case. With a left outer join, rows that are available in the second data table only will not be included in the resulting data table:
Instead, it was decided that a right outer join would be a better choice for this particular use case: