Documentation

geo.strictFilter() function

geo.strictFilter() is experimental and subject to change at any time.

geo.strictFilter() filters data by latitude and longitude in a specified region.

This filter is more strict than geo.gridFilter(), but for the best performance, use geo.strictFilter() after geo.gridFilter(). Input rows must have lat and lon columns.

Function type signature
(<-tables: stream[{B with lon: D, lat: C}], region: A) => stream[{B with lon: D, lat: C}] where A: Record

For more information, see Function type signatures.

Parameters

region

(Required) Region containing the desired data points.

Specify record properties for the shape.

tables

Input data. Default is piped-forward data (<-).

Examples

Strictly filter data to a specified region

import "experimental/geo"

data
    |> geo.strictFilter(region: {lat: 40.69335938, lon: -73.30078125, radius: 50.0})

View example input and output


Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB v3 enhancements and InfluxDB Clustered is now generally available

New capabilities, including faster query performance and management tooling advance the InfluxDB v3 product line. InfluxDB Clustered is now generally available.

InfluxDB v3 performance and features

The InfluxDB v3 product line has seen significant enhancements in query performance and has made new management tooling available. These enhancements include an operational dashboard to monitor the health of your InfluxDB cluster, single sign-on (SSO) support in InfluxDB Cloud Dedicated, and new management APIs for tokens and databases.

Learn about the new v3 enhancements


InfluxDB Clustered general availability

InfluxDB Clustered is now generally available and gives you the power of InfluxDB v3 in your self-managed stack.

Talk to us about InfluxDB Clustered