In an embarrassing attempt to bring some more visits to this blog I’ll start to post about buzzwords. After some months of fighting against it I’ve finally understood that there is no point in teaching people that AJAX, Web 2.0 and the like are just silly buzzwords about quite old technologies. So from now on I’ll get into the bandwagon and start using those buzzwords.
Looking at the whole picture, you’ll need perspective here, AJAX web pages are Web Service Brokers. This exposes a big problem, since we’re sill using server side software focussed (read optimized) on the traditional web, while the client side is moving to support the thin client paradigm. The main trouble here is the design concept of the web where each page is an atomic unit, so we need to take some considerations when developing ajaxified web pages if we don’t want to hurt performance seriously.
Most AJAX frameworks expose some simple examples to demonstrate their functionality. They work ok, they do quite cool things, but looking at them a bit closer there are some grey areas. Besides the popular live-search, update on checkbox click or the plain spellchecker, there is a lot more functionality promised by the AJAX hype. Take for example a datagrid widget, like an Excel spreadsheet, there are some complex processes running on the background when working with it. When editting a cell we need to send the new value to the server, check if it worked ok and fetch any other updates on calculated cells which could have been affected by that change. So we have several weak points (mainly by the inherent network unreliability) which would need checks. In the previous example of the datagrid, imagine that the fetch of the affected cells fails, the application state on the client side and on the server side will be different and this is a major concern when working with thin clients.
To solve this problem we have to use transactions (already popular on the RDBMS world). Transactions will allow us to emulate the web principle that each page/action is atomic. In the case that something goes wrong we can rollback the changes and our application state will be kept the same on both sides.
Extending on this idea, we can even optimize the request-response cycle by using an Unit of Work pattern for example. We compose a list of actions and send it when finished to the server instead of sending individual actions. Network latency is always an issue and the asynchronous nature of AJAX is not used too often in practice, when we make a change we expect an inmediate update. By packing the actions in Units of Work we can optimize the client-server interaction and support transactions quite easily.
Remember that for the tipical RPC the web server needs to spawn (or fork) a new process, load the dynamic language interpretter, parse thousends of lines of code, perform a DB connection and do the actual work. Even when having a properly setup backend (opcode cache, fast-cgi), the overhead of a RPC is huge. Packing actions together seems like a great solution for performance problems.