Reputation: 19137
We have a web app that allows users to upload documents, create their own documents, and so on. Uploaded files are stored on Amazon S3, created information is stored in a MySQL database. What I'm looking for is some sort of search engine, where I feed it all of our text documents, each with a unique ID, and it builds an index or whatever. Later, I can give it search queries, and it will pull out the best matching documents (via their ID), along with snippets of matching text.
Basically we want to allow our users to search through their repository of uploaded stuffs, along with anything that other users have marked as public. The solution should run on a standard Linux server, and ideally it would be open source, but I'll also consider paid solutions if they aren't outrageously priced.
So far, I've found three potential candidates:
Please let me know if there are any other good choices that I've overlooked, or if you have experience with any of the above.
Upvotes: 4
Views: 1727
Reputation: 2757
Sphinx may be worth your consideration, as it works well with several common RDMS (notably MySQL)
Upvotes: 2
Reputation: 99740
Take a look at Solr. It's based on Lucene, so it's very fast, and it's really easy to use from any platform.
Upvotes: 5
Reputation: 1054
There is also Xapian which is fast and is quite customizable.
It has support for custom indexers allowing one to index data that is not stored in a database which might be useful for your documents stored on S3.
Upvotes: 1
Reputation: 1917
Lucene is very good. And although it was originally written in java there is a php implementation http://framework.zend.com/manual/en/zend.search.lucene.html
Upvotes: 0
Reputation: 35550
There is a Ruby port of Lucene called "Ferret". In addition to the Ruby API, you can get at the underlying c implementation called "cFerret".
Upvotes: 0
Reputation: 1549
I imagine that Google will have a solution that meets your needs. Start here: Google Enterprise
Upvotes: 0