# Narrow union by name

> Supported in: Batch, Faster

Unions a set of datasets together on the intersection of their column names, columns that are not present in all input datasets are removed.

**Transform categories**: Join

## Declared arguments

* **Datasets to union:** The datasets being unioned together.<br>*List\<Table>*

## Examples

### Example 1: Base case

**Argument values:**

* **Datasets to union:** \[ri.foundry.main.dataset.a, ri.foundry.main.dataset.b]

**Inputs:**

ri.foundry.main.dataset.a

| recently\_serviced | tail\_number |
| ----- | ----- |
| true | KK-150 |
| false | XB-120 |
| true | MT-190 |

ri.foundry.main.dataset.b

| recently\_serviced | tail\_number | airline\_code |
| ----- | ----- | ----- |
| true | AA-200 | AA |
| true | BN-435 | BN |
| true | BN-111 | BN |

**Output:**

| recently\_serviced | tail\_number |
| ----- | ----- |
| true | KK-150 |
| false | XB-120 |
| true | MT-190 |
| true | AA-200 |
| true | BN-435 |
| true | BN-111 |

***