Timeseries
Timeseries datasets link each data point to a specific point in time.
Each timeseries dataset comes with a set of required and auto-generated fields for each data point.
Required fields
While the specific data fields between different time series datasets can vary, there are common fields that all time series datasets share.
The timestamp associated with each data point. Timestamps are always in UTC.
For indexing and querying, Tilebox truncates timestamps to millisecond precision. But Timeseries datasets may contain arbitrary custom Timestamp fields that store timestamps up to a nanosecond precision.
Auto-generated fields
A universally unique identifier (UUID) that uniquely identifies each data point. IDs are generated so that sorting them lexicographically also sorts them by time.
IDs generated by Tilebox are deterministic, meaning that ingesting the exact same data values into the same collection will always result in the same ID.
The time the data point was ingested into the Tilebox API.
Creating a timeseries dataset
To create a timeseries dataset, use the Tilebox Console and select Timeseries Dataset as the dataset type. The required and auto-generated fields
already outlined will be automatically added to the dataset schema.
Time-based queries
Timeseries datasets support time-based queries. To query a specific time interval, specify a time range when querying data from a collection.