kapacitor replay

The kapacitor replay command replays a task or query recording.

The times of the data points will either be relative to now or, if the -rec-time flag is included, the exact times in the recording. In either case, relative times between data points remain the same.


kapacitor replay [flags]


-no-waitRun replay in the background
-real-clockReplay data in real time, otherwise replay data as fast as possible
-rec-timeUse times saved in the recording instead of present times
-recordingRequired: Recording ID to replay
-replay-idID to assign to the replay (default is a random ID)
-taskTask ID


Replay a recording
kapacitor replay \
  -recording 4e0f09c5-1426-4778-8f9b-c4a88f5c2b66 \
  -task cpu_alert

Was this page helpful?

Thank you for your feedback!

Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

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.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following:

State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.