Archive for the 'FeatreServer' Category

Jython + TileCache/FeatureServer: It Just Works

Posted in ESRI, FeatreServer, FeatureServer, TileCache, default, spatialreference.org on December 14th, 2008 at 10:37:04

Earlier today, I tried Jython for the first time, because I’m doing some work that may involve interactions with Java libraries in the near future. Jython, which I’ve always avoided in the past due to an irrational fear of Java, is “an implementation of the high-level, dynamic, object-oriented language Python written in 100% Pure Java, and seamlessly integrated with the Java platform.” (I love projects that have great one-liners that I can copy paste.)

My goal for Jython was to do some work with the GeoTools EPSG registry code related to SpatialReference.org. Sadly, I didn’t get that working, but in the process, I learned that Jython now has a beta version which is up to Python 2.5 — much newer than the 2.2 that had previously been available.

With that in hand, I decided to see if I could get some of my other Python projects running under Jython. I’m the maintainer for both TileCache and FeatureServer — two pure Python projects. Theoretically, these projects should both work trivially under Jython, but I’ve always had my doubts/fears about this being the case. However, it turns out that my fears here are entirely unfounded.

I downloaded the FeatureServer ‘full’ release from featureserver.org: this includes the supporting libraries needed to get a basic FeatureServer up and running. I then tried to run the FeatureSever local HTTP server… and it worked out of the box. I was able to Load the layer, save data to it, query it, etc. with no problems whatsoever. Java has support for the DBM driver that FeatureServer uses by default, so out of the box, I was able to use FeatureServer with Jython without problems.

Next came TileCache. TileCache was originally built to support Python all the way back to 2.2, so I wasn’t expecting many problems. Getting it running turned out to be almost as easy: the only code modification that was needed was a minor change to the disk cache, because Jython doesn’t seem to support the ‘umask’ method. Once I changed that (now checked into SVN), Jython worked just as well with TileCache as it did with FeatureServer.

Clearly, there are some things which are less trivial. The reason that these libraries were so easy to use is because they were designed to be low-dependancy: TileCache and FeatureServer default paths are both entirely free of compiled code. Using something like, for example, GDAL Layers in TileCache, would be much more difficult (if it’s even possible).

However, this presents some interesting capabilities I had not previously thought of.

For FeatureServer, this means that it may be possible to write a DataSource which accesses SDE using the ArcSDE Java API, ESRI’s supported method for accessing their SDE databases. One of the purported “holy grails” of the GIS world is RESTful access to SDE databases via lightweight servers — Jython may provide a path to that, if someone is interested in it. (It may be that this has become a moot point with the release of the ESRI 9.3 REST API — I’m not really sure.) This may be a waste of time, but the fact that it *can* be done is interesting to me. Edit: Howard points out that ArcSDE read/write support exists in OGR 1.6, so this is a moot point; you can simply use OGR to do this without involving Jython/Java.

I think this might also speak to a possibility of having better answers available for people who want to use things like FeatureServer from Java platforms (though I don’t know enough about jython to be sure): the typical answer of “use GeoServer” is great, but to be able to provide something a bit more friendly would be interesting. Thankfully, the Java world is largely catching up to the advances made in TileCache/FeatureServer, so this is also less urgent than it has been in the past.

In the end, this was likely simply an interesting experiment. However, it’s nice to know that the capabilities to do things like this within Jython are improving, and that Jython continues to advance their Python. The 2.2 release being the ‘current’ one still is disappointing, but seeing a 2.5 beta available is an exciting development.

As I said, the current version of FeatureServer works out of the box with Jython, and I’ll be doing a TileCache release shortly that will work with Jython out of the box as well. It’s neat to see more possibilities for using these libraries I’ve spent so much time on.