Cep Norikra
Last updated
Last updated
This article explains how to use Fluentd and Norikra to create a SQL-based real-time complex event processing platform.
Fluentd is an advanced open-source log collector originally developed at Treasure Data, Inc. Fluentd is not only a log collector, but also an all-purpose stream processing platform. Plugins can be written to handle many kinds of events.
However, Fluentd is not primarily designed for stream processing. We must restart Fluentd after making modifications to its configuration/code, making it unsuitable for running both short-span (seconds or minutes) calculations and long-span (hours or days) calculations. If we restart Fluentd to perform a short-span calculation, all existing internal statuses of short and long span calculations are lost. For large scale stream processing platforms, code/processes must be added/removed without any such losses.
Norikra is an open-source stream processing server based on Esper by EsperTech. It allows you to subscribe/unsubscribe to data streams anytime and add/remove SQL queries anytime. Norikra is written by tagomoris, a committer of the Fluentd project.
This article will show you how to integrate Fluentd, Norikra, and the Fluentd norikra plugin to create a robust stream data processing platform.
The figure below shows the high-level architecture.
For the sake of simplicity, this guide will set up a one-node configuration. Please install the following on the same node:
Fluentd can be installed through rubygems or via deb/rpm packages.
fluent-plugin-norikra can be installed with the gem install fluent-plugin-norikra
(or fluent-gem) command.
Norikra requires JRuby. You can download the JRuby binary directly from the official site and export the PATH of JRUBY_INSTALL_DIRECTORY/bin
.
Once JRuby has been installed, simply entering jgem install norikra
will install Norikra.
We'll start the Norikra server after installation. The norikra start
command will launch the Norikra server in your console.
You can also check the current Norikra's status via the WebUI (http://localhost:26578/).
We'll now configure Fluentd. If you used the deb/rpm package, Fluentd's config file is located at /etc/td-agent/td-agent.conf. Otherwise, it is located at /etc/fluentd/fluentd.conf.
For the input source, we will set up Fluentd to accept records from HTTP. The Fluentd configuration file should look like this:
The output destination will be Norikra. The output configuration should look like this:
The match section specifies the glob pattern used to look for matching tags. If a matching tag is found in a log, then the config inside <match>...</match>
is used (i.e. the log is routed according to the config inside).
The norikra attribute specifies the Norikra server's RPC host and port ('26571' is the default port of Norikra RPC protocol). By target_map_tag true and remove_tag_prefix data, out_norikra handle the rest of tags (ex: 'foo' for 'data.foo') as target, which is a name of set of events as same as table name of RDBMS.
The <default>...</default>
section specifies which fields are sent to the Norikra server. We can also specify these sets per target with <target NAME>...</target>
. For information on the additional options available, please refer to the fluent-plugin-norikra documentation.
To test the configuration, just post the JSON to Fluentd (we use the curl command in this example).
Norikra's console log will show that Fluentd has opened the target access
and sent a message with fields of action
and user
.
We can check its fields with the norikra-client
command (from console that has the PATH to JRuby).
We can add queries on opened targets via the WebUI or CLI. The following query (just SQL!) counts the number of events with a non-zero user
per 10 second interval, with a 'group by' action
.
To register a query, issue norikra-client query add
on the CLI.
Once the query has been registered, post the events that you want.
And fetch output events from this test_query
query.
If posts are done in 10 seconds, this query calculates all events in first 10 seconds, and counts events per action
for events with user != 0
only, and outputs events at "2014/05/20 21:00:24". At "2014/05/20 21:00:34", just after next 10 seconds, this query reports that no events arrived (This is teardown records, and reported only once).
We can create a stream data processing platform without any schema definitions, using Fluentd and Norikra. This platform enables an agile stream processing environment that can handle real workloads.
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If this article is incorrect or outdated, or omits critical information, please let us know. Fluentd is a open source project under Cloud Native Computing Foundation (CNCF). All components are available under the Apache 2 License.