What’s the best Django search app? [closed]
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago. I'm building a Django project that needs search functionality, and until there's a django.contrib.search, I have to choose a search app. So, which is the best? By "best" I mean... easy to install / set up has a Django- or at least Python-friendly API can perform reasonably complex searches Here are some apps I've heard of, please suggest others if you know of any: djangosearch django-sphinx I'd also like to avoid using a third-party search engine (like Google SiteSearch), because some of the data I'd like to index is for site members only and should not be public.
Justin, I’d try djangosearch first: Jacob Kaplan-Moss (Django’s lead developer) is working on it.
- The home page warns the API might not be entirely stable
- “The long term goal is for this to become
I am searching for the same thing, as are a lot of other people. Let’s hope that django.contrib.search will be added soon.
In the meantime, this is what I found:
To me, most look quite complicated and, frankly, a little daunting to implement.
I’d be interested to learn what you think of these.
I’d recommend Sphinx for full-text search and aggregation, and django-sphinx is good enough for production use. We found that Sphinx was the least resource-intensive and fastest way to index and search our documents and that django-sphinx was a nice wrapper on top of the sphinx client.
The group by aggregation is particularly nice, if for example you want to display how many documents with a certain tag or by a certain author (or both) matched a search. In memory attribute updates were convenient too, especially for removing deleted articles immediately.
Thanks Garth. I had seen that djangosearch wanted to become the official Django search, but I was hesitant to use it because I couldn’t find any documentation! Luckily, there’s a README in subversion that I hadn’t seen before, and it makes the API look very cool:
# set up the model class Event(models.Model): title = models.CharField(max_length=255) date = models.DateField() is_outdoors = models.BooleanField() index = djangosearch.ModelIndex(text=['title'], additional=['date', 'is_outdoors']) # run a search results = Event.index.search("django conference")
I just needed a very quick solution that was no-fuss for an internal app.
I found the article Adding search to Django in a snap, and that worked splendid for me!
Obviously it lacks the speed, scalability and features of the real projects like Haystack, but this one is easier to set up, and I don’t really need anything else than keyword AND-search.
You might want to consider letting Yahoo do all the hard work with their Build your own Search Service (BOSS). Here is a great blog post that walks you through the process:
It looks like everyone here missed django-xappy
After quick evaluation of all existing search addons for Django, I found this one as most flexible and easiest to use. It’s rough on the edges in few places, but it’s still the best way to use power of Xapian search engine inside Django projects.
You might want to look at Django Solr search (aka “Solango”) which comes with some nice documentation to get you started…
If you have large amount of data to be indexed or you expect high traffic, I’d suggest using some external search engine, like Solr. This way, you’ll keep shared-nothing approach and be able to scale your site components independently.
I think I am going to have to give a shout out to Djapian.
It is rock-solid…just pull down a source distribution and peek inside. Top notch code, not very many comments tho..
It’s still a young software project, but I think the django community should throw it’s weight behind this one.
We decided to go with Tsearch2 and a custom postgres adaptor. Tsearch2 does not need an extra process to run, which was convenient since we are on a WebFaction hosting with limited memory… It’s not completely done yet, but seems to be a good solution…
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