Computed measurement

This page describes computed measurement in detail.

Overview

As described here, computed measurement is a type of data that is generated from other data sources.

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Design

The first thing to do when designing a computed measurement is to decide what are the inputs and what to output. A computed measurement can specify multiple measurements as input. Metrics and tags in those measurement will then be available to the function that is responsible for generating the output.

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Implementation

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Testing

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Execution

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Examples

Example 1: Temperature Scale Conversion

This example shows a simple usage of computed measurement.

Imagine you have a temperature sensor that sends raw temperature values in degrees Farenheit (℉) and you want to show the temperature in degrees Celsius (°C) instead. This is the temperature measurement from the temperature sensor that you have as input:

 {
   "tm_source": xxxxxxxxxx,
   "site_id" xxxxxxxx,
   "tag1": "xxxxxxxx",
   "tag2": "xxxxxxxx",
   "temperatureF": xxxxxxxxx,
   ...
 }

And this is the computed measurement that you want to output:

 {
   "tm_source": xxxxxxxxxx,
   "site_id" xxxxxxxx,
   "tag1": "xxxxxxxx",
   "tag2": "xxxxxxxx",
   "temperatureC": xxxxxxxxx,
   ...
 }

You can use the following script to perform the temperature metric conversion:

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Example 2

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