Echopraxia is a Java logging API designed around structured logging.
What this means is that all arguments in a logging statement have a name and a value, for example:
var fb = logger.fieldBuilder();
logger.info("arg1 is {} and arg2 is {}", fb.list(
fb.string("name", "value"),
fb.number("age", 13)
));
writes out in logfmt as:
INFO 13.232 arg1 is name=value and arg2 is age=13
and in a JSON format as:
{
"message": "arg1 is name=value and arg2 is age=13",
"name": "value",
"age": 13
}
What makes Echopraxia effective -- especially in debugging -- is that you can define your own mappings, and then pass in your own objects and render complex objects. For example, we can render a Person
object:
import echopraxia.simple.*;
var fb = PersonFieldBuilder.instance();
var logger = LoggerFactory.getLogger(getClass());
Person abe = new Person("Abe", 1, "yodelling");
abe.setFather(new Person("Bert", 35, "keyboards"));
abe.setMother(new Person("Candace", 30, "iceskating"));
logger.info("{}", fb.person("abe", abe));
And print out the internal state of the Person
in both logfmt and JSON.
INFO 13.223 abe={Abe, 1, father={Bert, 35, father=null, mother=null, interests=[keyboards]}, mother={Candace, 30, father=null, mother=null, interests=[iceskating]}, interests=[yodelling]}
Echopraxia also has a "contextual" logging feature that renders fields in JSON:
var fooLogger = logger.withFields(fb.string("foo", "bar"));
fooLogger.info("This logs the 'foo' field automatically in JSON");
And has conditional logging based on fields and exceptions, optionally using JSONPath:
import echopraxia.logging.api.*;
JsonPathCondition c = JsonPathCondition.pathCondition((level, ctx) ->
ctx.findString("$.exception.stackTrace[0].methodName")
.filter(s -> s.endsWith("Foo"))
.isPresent());
logger.withCondition(c).error("Only render this error if method name ends in Foo", e);
There is also a feature to change logging conditions dynamically using scripts.
Extending the Logger
class with your own methods is very straightforward.
import echopraxia.api.FieldBuilder;
import echopraxia.logging.api.*;
import echopraxia.logging.spi.*;
import echopraxia.simple.Logger;
class MyLoggerFactory {
public static class MyFieldBuilder implements FieldBuilder {
// Add your own field builder methods in here
}
private static final MyFieldBuilder fieldBuilder = new MyFieldBuilder();
public static MyLogger getLogger(Class<?> clazz) {
final CoreLogger core = CoreLoggerFactory.getLogger(Logger.class.getName(), clazz);
return new MyLogger(core);
}
public static final class MyLogger extends Logger {
public static final String FQCN = MyLogger.class.getName();
public MyLogger(CoreLogger logger) {
super(logger);
}
@Override
public FieldBuilder fieldBuilder() {
return fieldBuilder;
}
public void notice(String message) {
// the caller is MyLogger specifically, so we need to let the logging framework know how to
// address it.
core().withFQCN(FQCN).log(Level.INFO, message, fb -> fb.bool("notice", true), fieldBuilder());
}
}
}
class Main {
private static final MyLoggerFactory.MyLogger logger = MyLoggerFactory.getLogger(Main.class);
public static void main(String[] args) {
logger.notice("this has a notice field added");
}
}
Please see the online documentation.
For the fastest possible way to try out Echopraxia, download and run the JBang script.
Simple examples and integrations with dropwizard metrics and OSHI are available at echopraxia-examples.
For a web application example, see this Spring Boot Project.
There is a Scala API available at https://github.com/tersesystems/echopraxia-plusscala.
Benchmarks are available at BENCHMARKS.md.