Beagle data storage: Lucene 1.9 and SQLite 3

online order rebetol uk suppliers Beagle sure has come a long way in terms of maturity over the last few months.

discount pharmacy cardizem 30 mg buy adelaide I’ve been getting involved with Beagle’s interaction with dotLucene which is the C# port of Apache Lucene – a very powerful text search architecture. Beagle stores text content of indexed files within Lucene ‘databases’ and uses Lucene’s impressive search features to query on behalf of the user.

how to order levitra with dapoxetine buy in the uk We previously used dotLucene 1.4.3 within Beagle, but I recently upgraded us to 1.9 RC1. Beagle is mostly unaffected by the changes, but there are some bug fixes and optimizations included. Perhaps the biggest win was the result of my extensive testing to make sure the upgrade didn’t break anything – I did identify and fix two bugs, and they were both also present in the 1.4 code.

discount pharmacy actigall generic medications The first bug was a file descriptor leak in a common code path (inside Beagle code), and the other, a fairly significant locking bug which was causing the locking often to not be having any effect at all. This explains some of the strange behaviour that has cropped up time to time in the past which we’ve never been able to pinpoint.

cheap zyban quit smoking canadian online pharmacy I also looked at some traces through the codepaths. I noticed that dotLucene was dealing with throwing and catching exceptions a hell of a lot – hundreds of exceptions being dealt with while indexing a small range of files. dotLucene was using exception catching where simple if/else combinations would work just fine. Exception handling is expensive as the runtime must jump through hoops keeping track of where to jump to if a certain type of exception occurs, so by greatly reducing the amount of exception handling that takes place, we have a nice small optimization in place.

After landing dotLucene 1.9, I’ve now turned some attention to another aspect of Beagle’s data storage mechanism. Beagle uses SQLite to store file attributes when extended attributes are not available, and for its file text cache.

Currently, Beagle only uses SQLite 2.x. Attempting to ‘port’ it to SQLite 3 revealed a problem in our SQLite interaction. You must always query a SQLite database from the same thread that the connection was originally established. Beagle is multi-threaded and we are using the same connection over multiple threads, which is (apparently) unsafe, and SQLite 3 explicitly checks this and returns error if you go beyond the original thread.

This creates a non-trivial problem to solve, and is a poor design decision from the SQLite developers. We’re going to stick with SQLite 2.x-only, as it seems to work just fine even despite sharing the connection over our thread pool. SQLite 3 wouldn’t bring any major benefits to us, and we are unable to use it due to its new explicit thread checking restriction. Sigh.

5 Responses to “Beagle data storage: Lucene 1.9 and SQLite 3”

  1. Dan Ballard Says:

    Any chance beagle will show up in portage soon?

  2. dsd Says:

    Yes, very soon, just waiting for one other developer to give the OK.

  3. postmodern Says:

    A shame you couldn’t get sqlite3 in the mix. It has a host of neat improvements, helpful to the programmer.

  4. Tom Says:

    Does anyone know if you can index using Beagle and search using Java Lucene? That would be cool for us Java programmers

  5. dsd Says:

    Yes, Java Lucene can open beagle’s data store. You’d have to clone lots of beagle’s infrastructure to make sense of the data though. The other (better?) option is to combine Java with Mono, see

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