Structured Logging in Java with SLF4j and Logback
json, logging, java
Adding Structured JSON logging when using SLF4J is quite simple once you understand the logger structure. This post will cover a quick implementation of how to add JSON structured logging to your app with SLF4J using Logback and the logstash-logback-encoder.
First a bit of background.
Typically, all logs follow a certain pattern in every language. That is as follows, generated -> picked up -> parsed and enriched -> splat out in the correct place/places. For example, in Java, a logger in HelloWorld.java
, set up via SLF4J (an adapter) and Logback (a log handler), can create a log event with a timestamp, level, source info and a message. This event will be picked up by a Logback adapter, parsed for level, potentially enriched with some more data then forwarded on to be spat out in a console, file or a udp/tcp stream or something else. This is common in other languages too, such as python and Javascript - only with some caveats on the semantics.
Java Example
I'm going to assume you have a typical project set up, being built with Maven and it runs. Below is an example of my HelloWorld
class and the initial SLF4J dependancy:
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package com.tobydevlin.examples.logging import org.slf4j.Logger; import org.slf4j.LoggerFactory; public class HelloWorld { private static final Logger LOG = LoggerFactory.getLogger(HelloWorld.class); public static void main(String[] args) { LOG.info("hello world!"); } }
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<dependencies> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-simple</artifactId> <version>1.7.30</version> </dependency> </dependencies>
All it does is log out a single thing, and when you run it you get this:
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[main] INFO HelloWorld - hello world!
The next step would be to add some more intelligent handling under the hood, at the moment we're using the built-in java logging framework. So lets add 2 dependencies to our POM, 2 for Logback, the more powerful logger that works with the SLF4J facade, and one for logstash-logback-encoder, an extension to allow us to log in json easily.
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<dependencies> <!-- Logging --> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-api</artifactId> <version>1.7.30</version> </dependency> <dependency> <groupId>ch.qos.logback</groupId> <artifactId>logback-classic</artifactId> <version>1.2.3</version> </dependency> <dependency> <groupId>ch.qos.logback</groupId> <artifactId>logback-core</artifactId> <version>1.2.3</version> </dependency> <!-- Json Logging--> <dependency> <groupId>net.logstash.logback</groupId> <artifactId>logstash-logback-encoder</artifactId> <version>6.6</version> </dependency> </dependencies>
From here Logback only requires a logback.xml config file on the classpath to be configured with formatting and such. Below is the first, basic, config, to log everything to a file and to the console with a given format. Place this in your resources folder.
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<configuration> <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"> <encoder> <pattern>%d{HH:mm:ss.SSS} | [%thread] | %-5level | %logger{36} | %msg%n</pattern> </encoder> </appender> <appender name="FILE" class="ch.qos.logback.core.FileAppender"> <file>myApp.log</file> <encoder> <pattern>%d{HH:mm:ss.SSS} | [%thread] | %-5level | %logger{36} | %msg%n</pattern> </encoder> </appender> <root level="info"> <appender-ref ref="STDOUT"/> <appender-ref ref="FILE"/> </root> </configuration>
When run this should now print a more detailed message to the console and also a file myApp.log
should have also been made with a copy of the output.
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18:39:14.687 | [main] | INFO | HelloWorld | hello world!
Now to JSONafy these logs. The logstash libs make this incredibly easy, allowing us to just use one of their encoder classes. My new logback.xml
file looks like the below.
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<configuration> <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"> <encoder class="net.logstash.logback.encoder.LogstashEncoder"> </encoder> </appender> <root level="info"> <appender-ref ref="STDOUT"/> </root> </configuration>
This one doesn't log to a file, but can be configured very easily. A benefit of this encoder is it will automatically add information added with their net.logstash.logback.argument.StructuredArguments.*
utilities. A good example of this is the value()
and keyValue()
methods, or v()
and kv()
for short. I've rewritten the main method to include some pairs.
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public static void main(String[] args) { LOG.info("hello world! {} {}", keyValue("name", "toby"), value("time_taken", 123456)); LOG.info("hello world! {} {}", v("name", "toby"), kv("time_taken", 123456)); }
Which will output
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{"@timestamp":"2021-03-17T12:51:07.180Z","@version":"1","message":"hello world! name=toby 123456","logger_name":"HelloWorld","thread_name":"main","level":"INFO","level_value":20000,"name":"toby","time_taken":123456} {"@timestamp":"2021-03-17T12:51:07.196Z","@version":"1","message":"hello world! toby time_taken=123456","logger_name":"HelloWorld","thread_name":"main","level":"INFO","level_value":20000,"name":"toby","time_taken":123456}
Now we can add any number of parameters and they will be placed into the output as JSON keys. There are lots more meta information enrichment features and streaming add-ins to the logstash api, more info in the resources.