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M3DB Python Example

This example uses the influxdb library to connect to M3DB and write some data points.

Pre-Requisites

This python script requires the InfluxDB package (M3 uses InfluxDB line protocol), which you can install with:

pip install influxdb

You will need an API auth token, available from your Aiven console user settings, stored in an environment variable called AIVEN_AUTH_TOKEN.

You should have both an M3 and an M3 Aggregator service running.

Running The Example

The parameters you will need are:

  • The name of the project your services are in
  • The service names of both the M3 and M3 Aggregator services

For the M3 service itself, check the "overview" tab for the credentials needed:

  • host
  • port
  • user
  • password

With all those values ready, run the command:

./main.py --project <project_name> --m3db <m3 service name> --m3aggregator <m3 aggregator service name> --host <host> --port <port> --user <user> --password <password>

If it worked, you should see the output True.

Inspecting The Data

Congratulations, you have written data to M3DB. To see it, add a Grafana integration if you haven't already, and choose the data field cpu_load_short_value to see what you sent. Feel free to edit the script to send more different data points too.