This is a demo of InfluxDB given at a private Numenta engineering meeting.
> brew update
> brew install influxdb
> influx --version
InfluxDB shell 0.10.1
> influxd
8888888 .d888 888 8888888b. 888888b.
888 d88P" 888 888 "Y88b 888 "88b
888 888 888 888 888 888 .88P
888 88888b. 888888 888 888 888 888 888 888 888 8888888K.
888 888 "88b 888 888 888 888 Y8bd8P' 888 888 888 "Y88b
888 888 888 888 888 888 888 X88K 888 888 888 888
888 888 888 888 888 Y88b 888 .d8""8b. 888 .d88P 888 d88P
8888888 888 888 888 888 "Y88888 888 888 8888888P" 8888888P"
2016/02/23 09:48:12 InfluxDB starting, version 0.10.1, branch 0.10.0, commit b8bb32ecad9808ef00219e7d2469514890a0987a, built unknown
Leave this process running in your shell. Or you can start it in the background with &.
> influx
Visit https://enterprise.influxdata.com to register for updates, InfluxDB server management, and monitoring.
Connected to http://localhost:8086 version 0.10.1
InfluxDB shell 0.10.1
> show databases
name: databases
---------------
name
_internal
Type exit or quit to leave the CLI.
This will install the InfluxDB python client.
pip install -r requirements.txt
Running this program will collect a bunch of metrics from your computer in real-time and feed them into InfluxDB.
> python collect_samples.py
It will run for about 50 seconds, unless you change the defaults. You may kill it anytime without problems.
Connect to the CLI by typing influx, then query the database to see the samples you just collected.
Select the demo database:
> use demo
Using database demo
Show all collected measurements:
> show measurements
name: measurements
------------------
name
cpu
disk
memory
network
Show complete series information:
> show series
name: cpu
---------
_key timezone user
cpu,timezone=PST,user=mtaylor PST mtaylor
name: disk
----------
_key timezone user
disk,timezone=PST,user=mtaylor PST mtaylor
name: memory
------------
_key timezone user
memory,timezone=PST,user=mtaylor PST mtaylor
name: network
-------------
_key timezone user
network,timezone=PST,user=mtaylor PST mtaylor
Select data from a measurement:
> select * from cpu
name: cpu
---------
time percent timezone user
1456354666000000000 13.3 PST mtaylor
1456354667000000000 19 PST mtaylor
1456354668000000000 9.9 PST mtaylor
1456354669000000000 9.8 PST mtaylor
1456354670000000000 7.1 PST mtaylor
1456354671000000000 10.8 PST mtaylor
1456354672000000000 9.8 PST mtaylor
1456354673000000000 17.1 PST mtaylor
1456354675000000000 15.5 PST mtaylor
1456354676000000000 12.8 PST mtaylor
A more complex query:
> select percent from cpu where percent<10
name: cpu
---------
time percent
1456354668000000000 9.9
1456354669000000000 9.8
1456354670000000000 7.1
1456354672000000000 9.8
Aggregation function:
> select mean(percent) from cpu
name: cpu
---------
time mean
0 10.72