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Docs: Update labels to fields transform (#30086)

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* Docs: Update labels to fields transform

* Update docs/sources/panels/transformations/types-options.md

Co-authored-by: Diana Payton <52059945+oddlittlebird@users.noreply.github.com>

* Update docs/sources/panels/transformations/types-options.md

Co-authored-by: Diana Payton <52059945+oddlittlebird@users.noreply.github.com>

* Moved merge info to before examples

* Update docs/sources/panels/transformations/types-options.md

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>

* More review updates

* Update docs/sources/panels/transformations/types-options.md

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>

Co-authored-by: Diana Payton <52059945+oddlittlebird@users.noreply.github.com>
Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>
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@ -188,14 +188,12 @@ In the example below, I added two fields together and named them Sum.
## Labels to fields
> **Note:** In order to apply this transformation, your query needs to return labeled fields.
This transformation changes time series results that include labels or tags into to a table structure where each label becomes its own field.
When you select this transformation, Grafana automatically transforms all labeled data into fields.
Given a query result of two time series:
Example: Given a query result of two time series
1: labels Server=Server A, Datacenter=EU
2: labels Server=Server B, Datacenter=EU
* Series 1: labels Server=Server A, Datacenter=EU
* Series 2: labels Server=Server B, Datacenter=EU
This would result in a table like this:
@ -204,7 +202,7 @@ This would result in a table like this:
| 2020-07-07 11:34:20 | Server A | EU | 1 |
| 2020-07-07 11:34:20 | Server B | EU | 2 |
**Value field name**
### Value field name
If you selected Server as the **Value field name**, then you would get one field for every value of the Server label.
@ -212,13 +210,31 @@ If you selected Server as the **Value field name**, then you would get one field
| ------------------- | ---------- | -------- | -------- |
| 2020-07-07 11:34:20 | EU | 1 | 2 |
For this example, I manually defined labels in the Random Walk visualization of TestData DB.
### Merging behavior
{{< docs-imagebox img="/img/docs/transformations/labels-to-fields-before-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
The labels to fields transformer is internally two separate transformations. The first acts on single series and extracts labels to fields. The second is the [merge](#merge) transformation that joins all the results into a single table. The merge transformation tries to join on all matching fields. This merge step is required and cannot be turned off.
After I apply the transformation, my labels appear in the table as fields.
To illustrate this, here is an example where you have two queries that return time series with no overlapping labels.
{{< docs-imagebox img="/img/docs/transformations/labels-to-fields-after-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
* Series 1: labels Server=ServerA
* Series 2: labels Datacenter=EU
This will first result in these two tables:
| Time | Server | Value |
| ------------------- | ------- | ----- |
| 2020-07-07 11:34:20 | ServerA | 10
| Time | Datacenter | Value |
| ------------------- | ---------- | ----- |
| 2020-07-07 11:34:20 | EU | 20
After merge:
| Time | Server | Value | Datacenter |
| ------------------- | ------- | ----- | ---------- |
| 2020-07-07 11:34:20 | ServerA | 10 | |
| 2020-07-07 11:34:20 | | 20 | EU |
## Group by