6 ms·

Anyone implementing sphinxsearch care to share their experience with us?

ryanwaggoner 18y ago
We use it on MightyBrand. It's fucking amazing, at least for us. For an example, indexing a couple million items (blog posts, tweets, digg stories...several gigs of data) takes < 1 minute in most cases, on my Macbook. Full text searches against that data are typically a couple of milliseconds. Getting it setup took all of an hour. Definitely worth installing and playing around with.
thorax 18y ago
Sure thing. We have a customized sphinxsearch engine powering bug.gd. We can't say enough good things about it. Actually, out of all the open source stack we use, I think I'm most pleased with how robust and solid that piece is specifically. Sphinx is one of those powerful little open source gems that people don't discuss enough. It feels very feature rich and is wicked fast. I don't understand why it gets so little attention overall. Its reindexing speed is especially good-- I highly recommend it for any service that needs their search index updated quickly. A reindex of 100,000 documents takes about a second-- just fast enough that we could actually do a full reindex on every search if we were that silly. Supposedly you'll also find it behind craigslist's new search backend and (supposedly) the new whitehouse.gov. The selfish inkling in me doesn't like talking about Sphinx because it feels like one of those "best kept secrets" that you'd just want to keep to enjoy for yourself-- of course that's silly.
m03p 18y ago
Same thing here, if you do search on your website you should have a look a sphinx. Just because it's so insanely fast (even if you don't do full text search). Once you start using it you'll never look back ;).
grandalf 18y ago
Sphinx is awesome. I've been using the "unstable" versions for the past year in production and it's rock solid. It's also incredibly fast.
dnaquin 18y ago
Sure. We're using it for a couple things. It scales relatively well, though I wish we were getting sub-minute indexing, I'm pretty pleased with the 45 minute timespan we're seeing on a pretty large dataset. Responses are quick, though I'm having a some problems with memory usage on my MBP, I've mostly fixed that with careful configuration. Biggest problem is that django-sphinx is a piece of trash. I had to hack together a custom wrapper that we might consider open sourcing at some point.

We use it on MightyBrand. It's fucking amazing, at least for us. For an example, indexing a couple million items (blog posts, tweets, digg stories...several gigs of data) takes < 1 minute in most cases, on my Macbook. Full text searches against that data are typically a couple of milliseconds. Getting it setup took all of an hour. Definitely worth installing and playing around with.

thorax 18y ago

Sure thing. We have a customized sphinxsearch engine powering bug.gd. We can't say enough good things about it. Actually, out of all the open source stack we use, I think I'm most pleased with how robust and solid that piece is specifically. Sphinx is one of those powerful little open source gems that people don't discuss enough. It feels very feature rich and is wicked fast. I don't understand why it gets so little attention overall. Its reindexing speed is especially good-- I highly recommend it for any service that needs their search index updated quickly. A reindex of 100,000 documents takes about a second-- just fast enough that we could actually do a full reindex on every search if we were that silly. Supposedly you'll also find it behind craigslist's new search backend and (supposedly) the new whitehouse.gov. The selfish inkling in me doesn't like talking about Sphinx because it feels like one of those "best kept secrets" that you'd just want to keep to enjoy for yourself-- of course that's silly.

m03p 18y ago

Same thing here, if you do search on your website you should have a look a sphinx. Just because it's so insanely fast (even if you don't do full text search). Once you start using it you'll never look back ;).

grandalf 18y ago

Sphinx is awesome. I've been using the "unstable" versions for the past year in production and it's rock solid. It's also incredibly fast.

dnaquin 18y ago

Sure. We're using it for a couple things. It scales relatively well, though I wish we were getting sub-minute indexing, I'm pretty pleased with the 45 minute timespan we're seeing on a pretty large dataset. Responses are quick, though I'm having a some problems with memory usage on my MBP, I've mostly fixed that with careful configuration. Biggest problem is that django-sphinx is a piece of trash. I had to hack together a custom wrapper that we might consider open sourcing at some point.