Structure of the time series

A time series is a dataset that describe the evolution of a metric overtime, each datapoint contains a value (or several values) and a timestamp.

An example of time series it the cpu load of your laptop

The time series that we consider in our analysis are downsampled to one minute so each datapoint that streams in is characterised by:

columns	description

columns	description
time	timestamp (per minute) in epoch
v	sum of the values in a minute
c	number of raw data points in a minute (before downsampling)
mx	max value within a minute
environmentId	GUID of the environment
systemId	system number
nodeId	node number

The last three fields help to uniquely identify the time series in the EYER database.

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