Process data with InfluxDB tasks
Process and analyze your data with tasks in the InfluxDB task engine. Use tasks (scheduled Flux queries) to input a data stream and then analyze, modify, and act on the data accordingly.
Discover how to create and manage tasks using the InfluxDB user interface (UI)
and the influx command line interface (CLI).
Find examples of data downsampling, anomaly detection (Coming), alerting
(Coming), and other common tasks.
Tasks replace InfluxDB v1.x continuous queries.
Get started with tasks
Learn the basics of writing an InfluxDB task that processes data, and then performs an action, such as storing the modified data in a new bucket or sending an alert.
Manage tasks
InfluxDB provides options for creating, reading, updating, and deleting tasks using both the influx CLI and the InfluxDB UI.
Common data processing tasks
InfluxDB Tasks process data on specified schedules. This collection of articles walks through common use cases for InfluxDB tasks.
Task configuration options
Task options define specific information about a task such as its name, the schedule on which it runs, execution delays, and others.
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.