# Union by name

> Supported in: Batch, Faster, Streaming

Unions a set of datasets together on matching column names.

**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 | airline\_code |
| ----- | ----- | ----- |
| true | KK-150 | KK |
| false | XB-120 | XB |
| true | MT-190 | MT |

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 | airline\_code |
| ----- | ----- | ----- |
| true | KK-150 | KK |
| false | XB-120 | XB |
| true | MT-190 | MT |
| true | AA-200 | AA |
| true | BN-435 | BN |
| true | BN-111 | BN |

***