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

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---
title: join.full() function
description: >
`join.full()` performs a full outer join on two table streams.
menu:
flux_v0_ref:
name: join.full
parent: join
identifier: join/full
weight: 101
flux/v0/tags: [transformations]
introduced: 0.172.0
---
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`join.full()` performs a full outer join on two table streams.
The function calls `join.tables()` with the `method` parameter set to `"full"`.
##### 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 full outer join
In a full outer join, either `l` or `r` could be a default record, but they will
never both be a default record at the same time.
To get non-null values for the output record, check both `l` and `r` to see which contains
the desired values.
The example below defines a function for the `as` parameter that appropriately handles
the uncertainty of a full outer join.
`v_left` and `v_right` still use values from `l` and `r` directly, because we expect
them to sometimes be null in the output table.
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.full(
left: left,
right: right,
on: (l, r) => l.label == r.id and l._time == r._time,
as: (l, r) => {
time = if exists l._time then l._time else r._time
label = if exists l.label then l.label else r.id
return {_time: time, label: label, 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 | b | 2 | |
| 2022-01-01T00:00:00Z | c | | 0.5 |
| 2022-01-01T00:00:00Z | d | 3 | 0.6 |
{{% /expand %}}
{{< /expand-wrapper >}}