Structure of the time series
- Alessandra Cagnazzo
Owned by Alessandra Cagnazzo
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 |
|---|---|
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.