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Docs: Update labels to fields transform (#30086)
* 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.
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## Labels to fields
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> **Note:** In order to apply this transformation, your query needs to return labeled fields.
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This transformation changes time series results that include labels or tags into to a table structure where each label becomes its own field.
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When you select this transformation, Grafana automatically transforms all labeled data into fields.
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Given a query result of two time series:
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Example: Given a query result of two time series
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1: labels Server=Server A, Datacenter=EU
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2: labels Server=Server B, Datacenter=EU
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* Series 1: labels Server=Server A, Datacenter=EU
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* Series 2: labels Server=Server B, Datacenter=EU
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This would result in a table like this:
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@ -204,7 +202,7 @@ This would result in a table like this:
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| 2020-07-07 11:34:20 | Server A | EU | 1 |
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| 2020-07-07 11:34:20 | Server B | EU | 2 |
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**Value field name**
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### Value field name
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If you selected Server as the **Value field name**, then you would get one field for every value of the Server label.
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@ -212,13 +210,31 @@ If you selected Server as the **Value field name**, then you would get one field
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| ------------------- | ---------- | -------- | -------- |
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| 2020-07-07 11:34:20 | EU | 1 | 2 |
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For this example, I manually defined labels in the Random Walk visualization of TestData DB.
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### Merging behavior
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{{< docs-imagebox img="/img/docs/transformations/labels-to-fields-before-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
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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.
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After I apply the transformation, my labels appear in the table as fields.
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To illustrate this, here is an example where you have two queries that return time series with no overlapping labels.
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{{< docs-imagebox img="/img/docs/transformations/labels-to-fields-after-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
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* Series 1: labels Server=ServerA
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* Series 2: labels Datacenter=EU
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This will first result in these two tables:
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| Time | Server | Value |
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| ------------------- | ------- | ----- |
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| 2020-07-07 11:34:20 | ServerA | 10
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| Time | Datacenter | Value |
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| ------------------- | ---------- | ----- |
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| 2020-07-07 11:34:20 | EU | 20
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After merge:
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| Time | Server | Value | Datacenter |
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| ------------------- | ------- | ----- | ---------- |
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| 2020-07-07 11:34:20 | ServerA | 10 | |
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| 2020-07-07 11:34:20 | | 20 | EU |
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## Group by
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