IRONdb Graphite Plugin

A plugin for using graphite with the IRONdb from Circonus.

Requires Graphite-web 1.1.X.


First, checkout the code:

$ git clone
$ cd graphite-irondb

(With no options provided, the install will look for a flatcc library in /opt/circonus)

Then, to install using flatcc library for FlatBuffers:

$ sudo python install --with-flatcc=PREFIX

Or: To install as pure Python:

$ sudo python install --pure-python

The use of --pure-python is provided for convenience; However, the native C module is recommended for best performance.

Using with graphite-web

In your graphite’s


TAGDB = 'irondb.IRONdbTagFetcher'


# Optional.  You need CIRCONUS_TOKEN if you are using this with the 
# Circonus Saas or Inside products.  See below.
# If you are not using Circonus SaaS or Inside you can omit this setting
CIRCONUS_TOKEN = '0005cc1f-5b27-4b60-937b-7c73a25dfef7'


Where irondb-host is the DNS or IP of an IRONdb node, port (usually 8112) is the listening port for IRONdb, and is some integer you have been ingesting your metrics under (see Namespacing in the IRONdb docs). optional_query_prefix can be used to prefix all operations with a fixed name. You can use this optional prefix to simplify metric names stored in IRONdb. If you just want raw names as stored in IRONdb, you can omit this last URL section (see Graphite Rendering in the IRONdb documentation).

If you have a multi-node IRONdb installation (likely), you should specify multiple URLS (one for each node in the cluster), or place the IRONdb installation behind a load balancer. For example,


NOTE: the IRONDB_URLS is a python list and therefore must end with a trailing comma on the last entry.

If you are pointing graphite at a Circonus SaaS account, set the token to a valid Circonus Auth Token and set the URL to the public API URL ( Your tokens can be managed under your account at Note that the storage finder will not work if the application ‘graphite’ is not approved. If you find it not working, visit your tokens page and refresh to find the graphite application and manually approve it.

CIRCONUS_TOKEN = '<your-token-uuid>'

IRONDB_BATCH_SIZE is optional and will default to 250. Batch size is used to perform multi-fetch from the IRONdb backend if you use graphs with wildcard expansions in the datapoints.

IRONDB_USE_DATABASE_ROLLUPS is an optional Python boolean (True|False) and will default to True. IRONdb can automatically choose the “step” of the returned data if this param is set to True. Calculation for “step” is based on the time span of the query. If you set this to False, IRONdb will return the minimum rollup span it is configured to return for all data. This can result in slower renders as much more data will be returned than may be necessary for rendering. However, some graphite functions (like summarize) require finer resolution data in order to group data properly.

IRONDB_USE_ACTIVITY_TRACKING is an optional Python boolean (True|False) and will default to True. IRONdb supports tracking of metric activity without the expense of reading all known time series data to find active ranges.

IRONDB_TIMEOUT_MS is optional and will default to 10000. With IRONdb >= 0.9.8 this will set an absolute timeout after which queries will be cut off.

IRONDB_CONNECTION_TIMEOUT_MS is optional and will default to 3005.

IRONDB_MAX_RETRIES is optional and will default to 2. Only failures to connect are retried (see IRONDB_CONNECTION_TIMEOUT_MS). Timeouts or other failures are not retried to prevent thundering herd problems.

IRONDB_QUERY_LOG is optional and will default to False. Will log out all queries to the IRONdb backend nodes into the info.log if this is set to True.

IRONDB_ZIPKIN_ENABLED is optional and will default to False. Will send Zipkin headers to the IRONdb nodes that are being queried.

IRONDB_ZIPKIN_EVENT_TRACE_LEVEL is optional and will default to 0. If IRONDB_ZIPKIN_ENABLED is set to False, this flag will do nothing. If it is set to True, this will send headers to the IRONdb nodes that will enable additional event tracing. Right now, the only acceptable values are 0 (off), 1 (basic tracing), and 2 (detailed tracing). 2 can potentially cause performance issues - use this level sparingly. Only recommended for when trying to debug something specific.


  • 0.0.1 (2016-11-10): initial version.
  • 0.0.2 (2017-05-25): fix queries where there is no data for one or more of the requested time series
  • 0.0.3 (2017-06-27): Add CIRCONUS_TOKEN support and IRONDB_USE_DATABASE_ROLLUPS
  • 0.0.4 (2017-06-28): Pass more info back to IRONdb on fetches so the database doesn’t have to re-lookup metric ownership among the nodes
  • 0.0.5 (2017-09-01): Retry requests to IRONdb against different nodes if we encounter connection issues or timeouts on requests
  • 0.0.6 (2017-09-11): Pass a timeout to IRONdb on all fetch operations. This requires IRONdb >= 0.9.8
  • 0.0.7 (2017-09-13): Use a separate connection timeout on all fetch operations.
  • 0.0.8 (2017-09-13): Introduce IRONDB_MAX_RETRIES
  • 0.0.9 (2017-11-13): API fix for large fetches, reduce errors by catching more connection failure conditions, thanks @cbowman0
  • 0.0.10 (2017-11-21): Fix sending of X-Snowth-Timeout header
  • 0.0.11 (2018-04-09): Allow handling Flatbuffer data coming from IRONdb
  • 0.0.12 (2018-04-16): Performance improvements to Flatbuffer via native C modules instead of native Python. Requires flatcc
  • 0.0.13 (2018-04-17): Fix memory leaks in native C Flatbuffer module
  • 0.0.14 (2018-07-31): Graphite 1.1 compatibility including tag support
  • 0.0.15 (2018-09-14): IRONDB_QUERY_LOG support
  • 0.0.16 (2018-12-06): Improve error handling. Fix tag categories
  • 0.0.17 (2019-01-23): Fix flatcc native Flatbuffer module
  • 0.0.18 (2019-02-20): Improve FlatBuffers support. Fix metric prefix handling. Use Graphite error log
  • 0.0.19 (2019-03-05): Improve FlatBuffer error handling. Add Zipkin header support
  • 0.0.20 (2019-05-03): Don’t issue IRONdb series requests for empty find results, Add IRONDB_ROLLUP_WINDOW setting, Respect IRONDB_BATCH_SIZE setting, fix fetcher keyerror, use first start time when all series arrive late
  • 0.0.21 (2019-05-14): Fix memory leak introduced in 0.0.20

This content was sourced from the README on GitHub.