Skip to main content

Using Commons Pooling for Objects in JEE

A little more than 3 weeks ago, I was asked to rewrite a Multi-threading component that *pooled* connections to Mainframe HTTP Gateway. There was an existing implementation with synchronized array of connections which was initialization with a configurable size. The problem was this implementation was home grown way back in history, and the confidence level in that code was very low. Especially because its going into a JEE container and code-managed threads were not scaling atone to the container.

My first instinct was to use Apache Commons pooling. For one, this would have been much more QA-ed than what I would have implemented. The primary logic would be approximately the same, create-pool > borrow-object > return object. Everything could be done with commons pooling, using the GenericObjectPool.

On a finer level, I need to manage the life of the objects themselves - make sure the encapsulated connection is not stale etc, in which case invalidate it
A sample example (as in JavaDoc)
Object obj = null;
try {
// The only Guarentee is an object will not
// be given to different threads
obj = pool.borrowObject();
// Loop here until you an UNSTALE connection
//...use the object...
} catch(Exception e) {
// if any other invalidate the object
pool.invalidateObject(obj);
// do not return the object to the pool twice
obj = null;
} finally {
// make sure the object is returned to the pool
if(null != obj) {
pool.returnObject(obj);
}
}

The Default Implementation would block the borrowObject() call for requests indefinitely. To make this more scalable, I would setMaxWait() to a positive millisecs and handle the NoSuchElementException.

PS. I never completed this implementation due to lack to time at work and other production emergencies hogging my time. I would not have written this post, but Now that I am going to take up a new position at a new client soon. So the eventual implementation of this would be done by someone else at my current client. This post is dedicated to my own procrastination and to suggest my idea to him/her

Popular posts from this blog

Powered By

As it goes, We ought to give thanks to people who power us. This page will be updated, like the version page , to show all the tools, and people this site is Powered By! Ubuntu GIMP Firebug Blogger Google [AppEngine, Ajax and other Apis] AddtoAny Project Fondue jQuery

Decorator for Memcache Get/Set in python

I have suggested some time back that you could modularize and stitch together fragments of js and css to spit out in one HTTP connection. That makes the page load faster. I also indicated that there ways to tune them by adding cache-control headers. On the server-side however, you could have a memcache layer on the stitching operation. This saves a lot of Resources (CPU) on your server. I will demonstrate this using a python script I use currently on my site to generate the combined js and css fragments. So My stitching method is like this @memize(region="jscss") def joinAndPut(files, ext): res = files.split("/") o = StringIO.StringIO() for f in res: writeFileTo(o, ext + "/" + f + "." + ext) #writes file out ret = o.getvalue() o.close() return ret; The method joinAndPut is * decorated * by memize. What this means is, all calls to joinAndPut are now wrapped (at runtime) with the logic in memize. All you wa

One page Stock

Alright.. That was a long absence. The whole last week I dint blog. I dint go away. I was "occupied". I was learning stock trading. Its very fascinating. I have a good weeeked blog for you all. Here is my experience. I can literally hyper-link every word from the following paragraphs, but I am writing it as simple as I can so you can look up the italicised words in wikipedia . I got a paper trading account from a brokerage firm . You need one brokerage account first. Then it can be an Equity account where all your money is yours or a Margin account , where some of the money is lent by the brokerage firm. Then I get Buying power , which is the dollor value of how much stocks you can buy. I can make profit by simple rules. Buy when Price is low. Sell when price is high. There is another more intersting way of earning money. Selling short . Thats when price is not high, per say, but when are confident that the price WILL go down. then buy back when its lowest. This is what