DDevelopment & Design

33rd Degree day 3 review

At the last day of the conference, I’ve decided to skip the first presentations, and get some sleep instead. I was afraid that Venkat’s show is going to be too basic, I will see Jacek Laskowski talking about closure at 4Developers, which I’m kind of s…
At the last day of the conference, I’ve decided to skip the first presentations, and get some sleep instead. I was afraid that Venkat’s show is going to be too basic, I will see Jacek Laskowski talking about closure at 4Developers, which I’m kind of supervising from the Java perspective. As an afterthought, I should have gone to see “Static Code Analysis and AST Transformations” by Hamlet D’Arcy, as I really like this guy and the topic is intriguing at least, but I didn’t want to intoxicate myself more with coffee, and really needed to get some sleep.

MongoDB: Scaling Web Application

The first talk I’ve seen was by Ken Sipe. It was a very interesting case study, and I love case studies. They give you a real perspective, unlike the product-half-marketing that some authors are doing, and unlike self-marketing that some “professional” speakers perform. 
Ken had an interesting project at hand: a Facebook like social service, that deals with politic, named GoVote. Half of the presentation was a bit basic, with simple CRUD syntax, but when Ken started to talk about modeling, it got interesting.
Ken used Grails as the web framework and went through several plugins/libs to get him to the performance and efficiency he needed. Every one of them failed, except for GSP, which is a thing worth reflecting about. His lesson was not really surprising: you should not use any abstracts (ORM?), when playing with document databases. He sticked to GORM because of how fast his problems were solved on the mailing list and bug tracker, but GORM doesn’t really give you the resolution you want, when dealing with tree structures composed of documents.
My favourite part, albeit short, was about modeling. Ken managed to get ONE hit to DB per dynamic web page, something I’ve always dreamed of. His advice was to focus on use cases, and design document model with use cases in mind. You get a sign of bad design, when you find nested joins (hitting more than once for the data), and you can usually get away with tags, instead. Interesting stuff, I hope to verify that soon.

HTML5 For Developers

Nathaniel Schutta had a large presentation at hand, nothing he kind fit into only one hour, so he gave us a choice: what do we want to hear about. It turned out, the audience was most interested into Web Workers, local web storage and Canvas. Each had their caveats. 
Web workers allow to get some much needed concurrency  into heavy GUI (or game engines, I guess), work with a simple API where you can handle errors and spawn new workers.
Local storage is unfortunately limited by default to 5MB, and you may get unsuccessful persuading the user to change it. Apart from that, it’s a simple key-value store (both Strings), with storage events (think on-insert etc.), but current implementations handle those not without some problems.
Canvas was quite interesting. Though it has a very simple API, and only basic primitives implemented, I’ve already bought a 500 pages long book about it (and that’s without any info on all the libs build on top of it).

Ending keynotes

There were three ending keynotes, one from Nathaniel Schutta, Jurgen Appelo and the last from Robert C. Martin. As expected, those were entertaining, though unless you’ve been sleeping through the last three years in a cave, you would not be surprised by both craftsman. Jurgen, however, was quite a different animal.
His talk, titled “How to Change the World”, was based on his book “Management 3.0” and his work afterwards. I’ve been interested in the mechanics of change, since I’ve been trying to change with more or less luck, all the companies I’ve worked for. Jurgen has a lot to say in that matter, and I’ve been wrong on so many levels in my attitude towards change, that the talk was very refreshing.
You can take a look at his presentation here:
How to Change the World
Overall, while it’s too early to say whether that was the best JVM conference in Poland this year, I can recommend 33rd on all grounds. I feel I can bet blindly on it next year. Grzegorz Duda delivers enormous knowledge in so little time and so little money.

Solution Architect @ TouK

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DDevelopment & Design

Log4j and MDC in Grails

Log4j provides very useful feature: MDC - mapped diagnostic context. It can be used to store data in context of current thread. It may sound scary a bit but idea is simple.

My post is based on post http://burtbeckwith.com/blog/?p=521 from Burt Beckwith's excellent blog, it's definitely worth checking if you are interested in Grails.

Short background story...


Suppose we want to do logging our brand new shopping system and we want to have in each log customer's shopping basket number. And our system can be used at once by many users who can perform many transactions, actions like adding items and so on. How can we achieve that? Of course we can add basket number in every place where we do some logging but this task would be boring and error-prone. 

Instead of this we can use MDC to store variable with basket number in map. 

In fact MDC can be treated as map of custom values for current thread that can be used by logger. 


How to do that with Grails?


Using MDC with Grails is quite simple. All we need to do is to create our own custom filter which works for given urls and puts our data in MDC.

Filters in Grails are classes in directory grails-app/conf/* which names end with *Filters.groovy postfix. We can create this class manually or use Grails command: 
grails create-filters info.rnowak.App.Basket

In result class named BasketFilters will be created in grails-app/conf/info/rnowak/UberApp.

Initially filter class looks a little bit empty:
class BasketFilters {
    def filters = {
        all(controller:'*', action:'*') {
            before = {

            }
            after = { Map model ->

            }
            afterView = { Exception e ->

            }
        }
    }
}
All we need to do is fill empty closures, modify filter properties and put some data into MDC.

all is the general name of our filter, as class BasketFilters (plural!) can contain many various filters. You can name it whatever you want, for this post let assume it will be named basketFilter. 

Another thing is change of filter parameters. According to official documentation (link) we can customize our filter in many ways. You can specify controller to be filtered, its actions, filtered urls and so on. In our example you can stay with default option where filter is applied to every action of every controller. If you are interested in filtering only some urls, use uri parameter with expression describing desired urls to be filtered.

Three closures that are already defined in template have their function and they are started in these conditions:

  • before - as name says, it is executed before filtered action takes place
  • after - similarly, it is called after the action
  • afterView - called after rendering of the actions view
Ok, so now we know what are these mysterious methods and when they are called. But what can be done within them? In official Grails docs (link again) under section 7.6.3 there is a list of properties that are available to use in filter.

With that knowledge, we can proceed to implementing filter.

Putting something into MDC in filter


What we want to do is quite easy: we want to retrieve basket number from parameters and put it into MDC in our filter:
class BasketFilters {
    def filters = {
        basketFilter(controller:'*', action:'*') {
            before = {
                MDC.put("basketNumber", params.basketNumber ?: "")
            }
            after = { Map model ->
                MDC.remove("basketNumber")
            }
        }
    }
}

We retrieve basket number from Grails params map and then we put in map under specified key ("basketNumber" in this case), which will be later used in logger conversion pattern. It is important to remove custom value after processing of action to avoid leaks.

So we are putting something into MDC. But how make use of it in logs?


We can refer to custom data in MDC in conversion patter using syntax: %X{key}, where key is our key we used in filter to put data, like:
def conversionPattern = "%d{yyyy-MM-dd HH:mm:ss} %-5p %t [%c{1}] %X{basketNumber} - %m%n"


And that's it :) We've put custom data in log4j MDC and successfully used it in logs to display interesting values.