Metricedit
A metric visualization displays a single number for each aggregation you select:
Metric Aggregations:
- Count
- The count aggregation returns a raw count of the elements in the selected index pattern.
- Average
- This aggregation returns the average of a numeric field. Select a field from the drop-down.
- Sum
- The sum aggregation returns the total sum of a numeric field. Select a field from the drop-down.
- Min
- The min aggregation returns the minimum value of a numeric field. Select a field from the drop-down.
- Max
- The max aggregation returns the maximum value of a numeric field. Select a field from the drop-down.
- Unique Count
- The cardinality aggregation returns the number of unique values in a field. Select a field from the drop-down.
- Standard Deviation
- The extended stats aggregation returns the standard deviation of data in a numeric field. Select a field from the drop-down.
- Percentiles
- The percentile aggregation divides the values in a numeric field into percentile bands that you specify. Select a field from the drop-down, then specify one or more ranges in the Percentiles fields. Click the X to remove a percentile field. Click + Add to add a percentile field.
- Percentile Rank
- The percentile ranks aggregation returns the percentile rankings for the values in the numeric field you specify. Select a numeric field from the drop-down, then specify one or more percentile rank values in the Values fields. Click the X to remove a values field. Click +Add to add a values field.
Parent Pipeline Aggregations:
For each of the parent pipeline aggregations you have to define the metric for which the aggregation is calculated. That could be one of your existing metrics or a new one. You can also nest this aggregations (for example to produce 3rd derivative)
- Derivative
- The derivative aggregation calculates the derivative of specific metrics.
- Cumulative Sum
- The cumulative sum aggregation calculates the cumulative sum of a specified metric in a parent histogram
- Moving Average
- The moving average aggregation will slide a window across the data and emit the average value of that window
- Serial Diff
- The serial differencing is a technique where values in a time series are subtracted from itself at different time lags or period
Sibling Pipeline Aggregations:
Just like with parent pipeline aggregations you need to provide a metric for which to calculate the sibling aggregation. On top of that you also need to provide a bucket aggregation which will define the buckets on which the sibling aggregation will run
- Average Bucket
- The avg bucket calculates the (mean) average value of a specified metric in a sibling aggregation
- Sum Bucket
- The sum bucket calculates the sum of values of a specified metric in a sibling aggregation
- Min Bucket
- The min bucket calculates the minimum value of a specified metric in a sibling aggregation
- Max Bucket
- The max bucket calculates the maximum value of a specified metric in a sibling aggregation
You can add an aggregation by clicking the + Add Metrics button.
Enter a string in the Custom Label field to change the display label.
You can click the Advanced link to display more customization options:
- JSON Input
- A text field where you can add specific JSON-formatted properties to merge with the aggregation definition, as in the following example:
{ "script" : "doc['grade'].value * 1.2" }
In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable dynamic Groovy scripting.
The availability of these options varies depending on the aggregation you choose.
Click the Options tab to display the font size slider.