geo.asTracks() function
The geo.asTracks() function is experimental and subject to change at any time.
By using this function, you accept the risks of experimental functions.
The geo.asTracks() function groups rows into tracks (sequential, related data points).
Function type: Transformation
import "experimental/geo"
geo.asTracks(
groupBy: ["id","tid"],
orderBy: ["_time"]
)
Parameters
groupBy
Columns to group by.
These columns should uniquely identify each track.
Default is ["id","tid"].
Data type: Array of strings
orderBy
Column to order results by.
Default is ["_time"]
Data type: Array of strings
Examples
Group tracks in a box-shaped region
import "experimental/geo"
region = {
minLat: 40.51757813,
maxLat: 40.86914063,
minLon: -73.65234375,
maxLon: -72.94921875
}
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "example-measurement")
|> geo.gridFilter(region: region)
|> geo.toRows(correlationKey: ["_time", "id"])
|> geo.asTracks()
Function definition
asTracks = (tables=<-, groupBy=["id","tid"], orderBy=["_time"]) =>
tables
|> group(columns: groupBy)
|> sort(columns: orderBy)
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.