Great - you should consider using a benchmarking framework to check if your performance improvements make an impact. We use something called JMH already. You could take a look at: https://github.com/jbosstm/performance/blob/master/narayana/ArjunaJTA/jta/tests/classes/com/arjuna/ats/jta/xa/performance/JTAStoreTests.java

If you aren't already it would definitely be worth considering pre-processing the log to only parse the lines that match ones that NTA will actually parse.

It might be worth changing the logging in the lines that are read so that the output is more machine readable and so each line is not as complex to parse.

E.g. change:

@Message(id = 16036, value = "commit on {0} ({1}) failed with exception ${2}"

To:

@Message(id = 16036, value = "{0} {1} - {2}"

You could try that with the most common log messages that NTA uses to see if it provides a benefit.

Also, we talked at some point about changing it so that the logging didn't write to file but wrote directly to the NTA database, it may be that doing that would be faster. You could send the log message over JMS to an MDB that does that so it doesn't hold up the main writer (or maybe JBoss Logging is already in a background thread.

You could look at what the ironjacamar tracer does and ask questions on their forum to see if it has some benefit to NTA.

Maybe you could try running ShiViz with one of the logs that you generate using the NTA log generator and see if it can visualize it for you? I imagine Zipkin needs specific coding for it?

There are other log visualization tools too that might provide some ideas, e.g. I just found this one: Trace Log to Sequence Diagram Generation by eventhelix

The most import thing of the ShiViz is the vector clocks which are used to represent the happened-before relation between the events. I think we have not them in the logs.

But we do have timestamps

 

1. Find the bottleneck

A quick check would be to use Java 8 parallel streams to do the regex parsing.

It looks like you can instrument the System.out code (I guess JBoss Logging/log4j) with ShiVector? bestchai / ShiVector / wiki / Home — Bitbucket

This is the class that deals with log4j log and warn (probably need to do something special for trace: bestchai / ShiVector / source / java / shivectorasp / src / shivector / aspects / BasicAspect.java — Bitbucket)

I am thinking a bit more about this. The most common use case would be that someone would want to provide a log file for assistance so maybe the MDB was a bit too much of an "engineering" solution rather than user focussed. I think we should maybe concentrate on improving the parsing of the log file once it is produced. I still think there would be value in seeing if reducing the complexity of the log message would help improve performance here. I assume that the log parsing routines already discard any line that doesn't match a log message ID that won't be used? E.g. if NTA only parsed IDs ID1 and ID3 something should quickly strip out lines starting ID2 before more complex processing:

ID2

ID1

ID2

ID3

ID2

ID2

After that we need to make the regexp be able to find the parts of the message it needs as quick as possible. For most use cases I guess that is the UID of the transaction or the UID of the resource so I would propose making the log messages start with those components so the regexp can complete as quick as possible.

If possible though I would definitely be interested to see what we can do to work with existing log visualization tools (including customizing them).

Michael Musgrove 撰写:

 

 

1. Find the bottleneck

A quick check would be to use Java 8 parallel streams to do the regex parsing.

yeah, it makes sense.

Hi Yuan,

I wondered how your investigations where going? In particular if the parallel streams idea had demonstrated any performance benefits?

Thanks,

Tom

I think the parallel stream regex parsing looks like a little bit hard for her. But yeah, it is a good idea and I will investigate it.

Thanks. I wondered if it might be personally interesting to you to look at the idea and to understand how it would be beneficial even if you do not implement it. As Amos says it is likely fairly complex but it might help inform any write up you produce for your studies.

Thanks again,

Tom