Comments on: Boston.rb talk on Thinking Sphinx

By: Dual Sim Phone

Dual Sim Phone — Wed, 24 Mar 2010 22:35:50 +0000

great post

By: max191

max191 — Sat, 03 Oct 2009 13:43:41 +0000

My friend suggested me to visit your blog. Very well explained. I would like to say that it is very interesting to read your blog.
regards
charcoal grill

By: construction rochester

construction rochester — Sun, 20 Sep 2009 05:19:16 +0000

Sphinx helps me a lot as it makes indexing faster for my site as it runs in active development.. its all cool, I highly recommend this to others out there

By: boston movers

boston movers — Thu, 25 Jun 2009 07:35:50 +0000

thank you for posting the slides. its very helpful and quiet interesting

By: danchoi

danchoi — Thu, 19 Mar 2009 13:52:24 +0000

You rock!

By: dpickett

dpickett — Thu, 19 Mar 2009 13:37:40 +0000

oh ok I hear you (just wanted to make sure the embedded slides were working well). Ok, I'll see if I can whip something up this weekend.

Good meeting you, too!

By: danchoi

danchoi — Thu, 19 Mar 2009 13:25:23 +0000

Yes, I looked at the slides and they were great. I'm just saying that
blog posts are a lot more useful. But I'm grateful for the slides, so
I'm not complaining.

By: dpickett

dpickett — Thu, 19 Mar 2009 13:21:20 +0000

Hey Dan – the slides are available in the post – did it not come up in your feed reader – starting on Slide 18 there's a few slides that talk about some of the gotchas/tips.

Hope that helps.

Dan

By: danchoi

danchoi — Tue, 17 Mar 2009 15:58:50 +0000

Dan, I'm sorry I missed your talk. It would be great if you could write a blog entry (or entries) of the tips you gave at your talk, not just for me but for 100s of Rubyists out there who I'm sure will appreciate it!

It was good to meet and talk shop with you at Betahouse the day of your talk.

By: andrew2

andrew2 — Sat, 14 Mar 2009 15:17:41 +0000

Dan, thank you for this talk and for posting the slides! I've used Ferret in the past, and TS looks a lot better (I have to say, I enjoyed Ferret for the most part, but never really used it on large datasets)