docs: movingAverage and exponentialMovingAverage reference
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@@ -10,6 +10,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
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- `consolidateBy` function, which allows to specify aggregation function for time series data.
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- Direct DB Connection, which allows to use existing SQL data source for querying history data directly from Zabbix database.
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- **Docs**: Direct DB Connection reference and configuration.
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- `movingAverage` and `exponentialMovingAverage` functions.
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### Changed
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- IT Services query editor. Now user able to select multiple services by using regex, [#415](https://github.com/alexanderzobnin/grafana-zabbix/issues/415)
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@@ -44,6 +44,42 @@ rate()
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Calculates the per-second rate of increase of the time series. Resistant to counter reset. Suitable for converting of
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growing counters into the per-sercond rate.
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### movingAverage
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```
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movingAverage(windowSize)
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```
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Graphs the moving average of a metric over a fixed number of past points, specified by `windowSize` param.
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Examples:
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```
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movingAverage(60)
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calculates moving average over 60 points (if metric has 1 second resolution it matches 1 minute window)
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```
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### exponentialMovingAverage
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```
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exponentialMovingAverage(windowSize)
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```
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Takes a series of values and a window size and produces an exponential moving average utilizing the following formula:
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`ema(current) = constant * (Current Value) + (1 - constant) * ema(previous)`
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The Constant is calculated as:
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`constant = 2 / (windowSize + 1)`
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If windowSize < 1 (0.1, for instance), Constant wouldn't be calculated and will be taken directly from windowSize
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(Constant = windowSize).
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It's a bit tricky to graph EMA from the first point of series (not from Nth = windowSize). In order to do it,
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plugin should fetch previous N points first and calculate simple moving average for it. To avoid it, plugin uses this
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hack: assume, previous N points have the same average values as first N (windowSize). So you should keep this fact
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in mind and don't rely on first N points interval.
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Examples:
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```
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movingAverage(60)
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calculates moving average over 60 points (if metric has 1 second resolution it matches 1 minute window)
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```
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Aggregate
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---------
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