On his blog Bas De Nooijer has put together some PHP Solr benchmarks around a few different ways to handle the response data.

Solr supports multiple output formats. Some are for general use (xml, json) and some are even language specific. If you're using PHP these are the most logical response writer formats: xml, json, phps (serialized php), php (php code to execute). On top of that PHP offers multiple ways to parse XML. I'm benchmarking these options to determine the most efficient decoding to implement in the next major version of Solarium, but the results should be useful for any PHP Solr implementation.

He includes a snippet of code he's using to generate the benchmarks, a PHPUnit test that pulls in two different json-based results and, for now, just runs a json_decode on it. You can see the results of his testing here, graphing out the different response handling methods and their time (in milliseconds) to parse the response. It's interesting to see that there's a direct relation to the size of the data set and how long it takes for the methods to execute.

The current code for his benchmarks is available over on github

New on DZone.com today there's an article from Bas De Nooijer talking about a new tool he's created to allow PHP to work directly with Solr (the popular searching platform from the Apache project) as a result of research he'd done from a previous article. The result is < href="https://github.com/basdenooijer/solarium">Solarium, an open sourced PHP client for Solr.

I've worked on a lot of Solr implementations in PHP applications. There are multiple solutions: manual HTTP requests, the solr-php-client library, custom implementations etcetera. However they all have one issue in common: they only handle the communication with Solr, many other important parts like query building are not covered at all. And the parts that are covered are usually over-simplified. [...] At first I developed it as a library for my own projects, but I've decided to turn it into an opensource project. The project is called 'Solarium' and can be found on github: https://github.com/basdenooijer/solarium

You can find complete details about the project over on its wiki including basics concepts of query flow and using the ping/select/update query methods to access your Solr server.