Hello Joern,

Thank you for this post. Looking at PerformanceTest, and in particular
the createCallStack() method, it appears that stack traces used in the
generated logging events will have exactly 5 elements. If caller data
collection is enabled, in a production system, the computed caller
data could easily have 20 or more elements.

Given its sheer size, caller data may overwhelm all other elements in
a LoggingEvent. Even in case where caller data has only 5 elements, it
probably accounts for two thirds, or at least half, the size of a
serialized logging event.

By any yardstick, caller data is a very significant factor when
benchmarking logging event serialization.


Joern Huxhorn wrote:
Hey guys,
I've implemented protobuf Serializer/Deserializer for Lilith and have done some more benchmarks:

http://apps.sourceforge.net/trac/lilith/wiki/SerializationPerformance

protobuf is really, really fast and creates the smallest data of all tested mechanisms!! Uncompressed protobuf is only slightly larger than compressed java serialization! I'll definitely use it for both my appender and the file format in the next Lilith version...

The benchmark code can be found here:
http://apps.sourceforge.net/trac/lilith/browser/trunk/lilith/src/test/java/de/huxhorn/lilith/PerformanceTest.java

It's using the same LoggingEvents all the time so it has a corpus as suggested below, right? The only problematic bit is that it's using Lilith events and not Logback events but they should be comparable, I think.
Feel free to bash me if you know a better way to benchmark this :)

The proto file can be found here:
http://apps.sourceforge.net/trac/lilith/browser/trunk/lilith-data/logging-protobuf/src/main/protobuf/LoggingProto.proto

and all protobuf related code is here:
http://apps.sourceforge.net/trac/lilith/browser/trunk/lilith-data/logging-protobuf/src/main/java/de/huxhorn/lilith/data/logging/protobuf/

I've also added streamingSerializationWrite and streamingSerializationRead which mimics the way Logbacks SocketAppender is currently serializing. This method has the downside that it's not possible to send separate events to multiple recipients - which I do with my multiplexers - without serializing multiple times.

Joern.
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Ceki Gülcü
Logback: The reliable, generic, fast and flexible logging framework for Java.
http://logback.qos.ch
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