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Docs: Fix links to transforms (#30194)
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@ -8,7 +8,7 @@ weight = 300
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Grafana comes with the following transformations:
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- [Reduce](#reduce)
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- [Filter by name](#filter-by-name)
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- [Filter data by name](#filter-data-by-name)
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- [Filter data by query](#filter-data-by-query)
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- [Filter data by value](#filter-data-by-value)
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- [Organize fields](#organize-fields)
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@ -26,7 +26,7 @@ Keep reading for detailed descriptions of each type of transformation and the op
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## Reduce
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The _Reduce_ transformation will apply a calculation to each field in the frame and return a single value. Time fields are removed when applying
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this transformation.
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this transformation.
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Consider the input:
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@ -48,11 +48,11 @@ The reduce transformer has two modes:
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- **Series to rows -** Creates a row for each field and a column for each calculation.
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- **Reduce fields -** Keeps the existing frame structure, but collapses each field into a single value.
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For example, if you used the **First** and **Last** calculation with a **Series to rows** transformation, then
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For example, if you used the **First** and **Last** calculation with a **Series to rows** transformation, then
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the result would be:
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| Field | First | Last |
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| ------- | ------- | ------- |
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| Field | First | Last |
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| ------- | ------- | ------- |
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| Temp | 12.3 | 15.4 |
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| Uptime | 256122 | 1230233 |
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| AQI | 6.5 | 3.2 |
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@ -104,7 +104,7 @@ Here is the result after applying the Merge transformation.
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| 2020-07-07 11:34:20 | node | 15 | 25260122 |
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| 2020-07-07 11:24:20 | postgre | 5 | 123001233 |
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## Filter by name
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## Filter data by name
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Use this transformation to remove portions of the query results.
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@ -214,22 +214,22 @@ If you selected Server as the **Value field name**, then you would get one field
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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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To illustrate this, here is an example where you have two queries that return time series with no overlapping labels.
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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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* 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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| 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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| 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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After merge:
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| Time | Server | Value | Datacenter |
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| ------------------- | ------- | ----- | ---------- |
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@ -358,7 +358,7 @@ Here is the result after applying the Series to rows transformation.
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| 2020-07-07 09:30:57 | Humidity | 33 |
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| 2020-07-07 09:30:05 | Temperature | 19 |
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## Filter by value
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## Filter data by value
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> **Note:** This transformation is available in Grafana 7.4+.
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