docs-v2/content/flux/v0/stdlib/join/right.md

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---
title: join.right() function
description: >
`join.right()` performs a right outer join on two table streams.
menu:
flux_v0_ref:
name: join.right
parent: join
identifier: join/right
weight: 101
flux/v0/tags: [transformations]
introduced: 0.172.0
---
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`join.right()` performs a right outer join on two table streams.
The function calls `join.tables()` with the `method` parameter set to `"right"`.
##### Function type signature
```js
(<-left: stream[A], as: (l: A, r: B) => C, on: (l: A, r: B) => bool, right: stream[B]) => stream[C] where A: Record, B: Record, C: Record
```
{{% caption %}}
For more information, see [Function type signatures](/flux/v0/function-type-signatures/).
{{% /caption %}}
## Parameters
### left
Left input stream. Default is piped-forward data (<-).
### right
({{< req >}})
Right input stream.
### on
({{< req >}})
Function that takes a left and right record (`l`, and `r` respectively), and returns a boolean.
The body of the function must be a single boolean expression, consisting of one
or more equality comparisons between a property of `l` and a property of `r`,
each chained together by the `and` operator.
### as
({{< req >}})
Function that takes a left and a right record (`l` and `r` respectively), and returns a record.
The returned record is included in the final output.
## Examples
### Perform a right outer join
In a right outer join, `r` is guaranteed to not be a default record, but `l` may be a
default record. Because `l` is more likely to contain null values, the output record
is built almost entirely from properties of `r`, with the exception of `v_left`, which
we expect to sometimes be null.
For more information about the behavior of outer joins, see the [Outer joins](/flux/v0/stdlib/join/#outer-joins)
section in the `join` package documentation.
```js
import "array"
import "join"
left =
array.from(
rows: [
{_time: 2022-01-01T00:00:00Z, _value: 1, label: "a"},
{_time: 2022-01-01T00:00:00Z, _value: 2, label: "b"},
{_time: 2022-01-01T00:00:00Z, _value: 3, label: "d"},
],
)
right =
array.from(
rows: [
{_time: 2022-01-01T00:00:00Z, _value: 0.4, id: "a"},
{_time: 2022-01-01T00:00:00Z, _value: 0.5, id: "c"},
{_time: 2022-01-01T00:00:00Z, _value: 0.6, id: "d"},
],
)
join.right(
left: left,
right: right,
on: (l, r) => l.label == r.id and l._time == r._time,
as: (l, r) => ({_time: r._time, label: r.id, v_left: l._value, v_right: r._value}),
)
```
{{< expand-wrapper >}}
{{% expand "View example output" %}}
#### Output data
| _time | label | v_left | v_right |
| -------------------- | ------ | ------- | -------- |
| 2022-01-01T00:00:00Z | a | 1 | 0.4 |
| 2022-01-01T00:00:00Z | c | | 0.5 |
| 2022-01-01T00:00:00Z | d | 3 | 0.6 |
{{% /expand %}}
{{< /expand-wrapper >}}