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Introducing InfluxDB, an
open source distributed
time series database
Paul Dix
@pauldix
paul@errplane.com
About me
● Co-founder, CEO of Errplane (YC W13)
● Organizer of NYC Machine Learning
● Author of “Service Oriented Design with
Ruby & Rails”
Series editor for Addison Wesley’s
“Data & Analytics”
What is a time series?
Metrics
Events
●
●
●
●
●
●
●

Measurements
Exceptions
Page Views
User actions
Commits
Deploys
Things happening in time...
Analytics
operations, developers, users, business
Things you want to ask
questions about,
visualize, or summarize
over time.
Actually a summarization
Also a summarization
What about...
“...order by some_time_col”
Why a database for time
series?
Billions of data points.
Scale horizontally.
HTTP native.
API to build on.
Built in tools for
downsampling and
summarizing
Automatically clear out
old data if we want
Process or monitor data
as it comes in, like Storm
Visualize and Summarize
●
●
●
●
●
●
●
●

Graphs & dashboards
Last 10 minutes
Last 4 hours
Last 24 hours
Past week
Past month
YTD
All Time
Data Collection
● Statsd - https://github.com/etsy/statsd/
● CollectD - http://collectd.org/
● Heka - https://github.com/mozillaservices/heka
● l2met - https://github.
com/ryandotsmith/l2met
● Libraries
● Framework integrations
● Cloud integrations (AWS, OpenStack)
● Third-party integrations
Existing Tools
●
●
●
●
●

RRDTool (metrics)
Graphite (metrics)
OpenTSDB (metrics + events)
Kairos (metrics + events)
and others...
Something missing...
InfluxDB: harness
lightning, get 1.21
gigawatts.
InfluxDB
●
●
●
●
●

Written in Go
Uses LevelDB for storage (may change)
Self contained binary
No external dependencies
Distributed (in December)
HTTP Native
● Read/write data via HTTP
● Manage via HTTP
● Security model to allow access directly from
browser
How data is organized
● Databases (like in MySQL, Postgres, etc)
● Time series (kind of like tables)
● Points or events (kind of like rows)
Security
● Cluster admins
● Database admins
● Database users
○ read permissions
■ only certain series
■ only queries with a column having a specific
value (e.g. customer_id=32)
○ write permissions
■ only certain series
■ only with columns having a specific value
InfluDB Setup
● http://play.influxdb.org
● OSX
○ brew update && brew install influxdb

● http://influxdb.org/download
● Ubuntu
○ sudo dpkg -i influxdb_latest_amd64.deb

● RedHat
○ sudo rpm -ivh influxdb-latest-1.i686.rpm
Examples, but sadly no R
:(
HTTP API docs at
http://influxdb.org/docs/api/http
https://github.com
/influxdb/influxdb-r
fork, write sweet code, submit PR, be loved
and adored FOREVER
Create a database
curl -X POST 
'http://localhost:8086/db?u=root&p=root' 
-d '{"name":"mydb", "replicationFactor": 3}'
Add a user
curl -X POST
'http://.../db/mydb/users?u=root&p=root' -d 
'{"name":"paul", "password": "foo", "admin": true}'
Write points
curl -X POST



'http://localhost:8086db/mydb/series?u=paul&p=pass' 
-d '[{"name":"foo", "columns":["val"], "points": [[3]]}]'
Querying
curl



'http://...:8086/db/mydb/series?u=paul&p=pass&q=...'
SQL(ish) Query Language
select * from user_events
where time > now() - 4h
JSON data returned
[{
"name": "foo",
"columns": [
"time", "sequence_number", "val1", "val2"
],
"points": [
[1384295094, 3, "paul", 23],
[1384295094, 2, "john", 92],
[1384295094, 1, "todd", 61]
]
}, {...}]
select count(state) from user_events
group by time(5m), state
where time > now() - 7d
select percentile(value, 90) from response_times
group by time(30s)
where time > now() - 1h
Continuous Queries (downsampling)
select percentile(value, 90) from response_times
group by time(5m)
into response_times.percentiles.90
Continuous queries for
real-time processing &
monitoring
Regexes
select * from events
where email =~ /.*gmail.com/
select percentile(value, 99)
from /stats.*/
into :series_name.percentiles.99
select count(value)
from seriesA merge seriesB
Querying
● Functions
○ count, min, max, mean, distinct, median, mode,
percentiles, derivative, stddev

● Where clauses
● Group by clauses (time and other columns)
● Periodically delete old raw data
Built in UI
CLI
Libraries
●
●
●
●
●
●
●

Ruby
Frontend JS
Node
Python
PHP
Go (soon)
Java (soon)
Ideas to come...
● Custom functions
○ Embedded LUA, YARN like interface, or both?

● Custom real-time queries
○ define custom logic and InfluxDB will feed it data

● Queries triggering web hooks
○ pair with custom functions for monitoring/anomaly
detection
Project Status
● Based on work at https://errplane.com
○ 2 billion points per month

●
●
●
●
●

http://influxdb.org
Code available at https://github.com/influxdb
API finalized in the next month
Clustered version in December
Production ready by end of year
We’re available for
consulting/help
We need your help
●
●
●
●
●
●

API, what else would you like to see?
Client libraries
Visualization tools
Data collection integrations
Comments/feedback on the mailing list
http://influxdb.org/overview/
Share the love
● Star or watch the project on http://github.
com/influxdb/influxdb
● Tweet, blog, shout, whisper
● Participate in discussions on mailing list
Come to the hackfest
● Monday, December 2nd at Pivotal
● http://meetup.com/nyc-influxdb-user-group
OSS lives and dies by
adoption/popularity
MongoDB has 4,406 stars
MongoDB valued at $1.2B
Each star worth
$272,355.00
Help InfluxDB get to 10k
stars!
go forth and build!
Thanks!
@pauldix
paul@errplane.com

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Introduction to InfluxDB, an Open Source Distributed Time Series Database by Paul Dix