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POWhat's the best way to implement web service for ajax autocomplete
 

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    <p>I'm implementing a "Google Suggest" like autocomplete feature for tag searching using jQuery's autocomplete. </p> <p>I need to provide a web service to jQuery giving it a list of suggestions based on what the user has typed. I see 2 ways of implementing the web service:</p> <p>1) just store all the tags in a database and search the DB using user input as prefix. This is simple, but I'm concerned about latency.</p> <p>2) Use an in-process trie to store all the tags and search it for matching results. As everything will be in-process, I expect this to have much lower latency. But there are several difficulties: -What's a good way to initialize the trie on process start up? Presumable I'll store the tag data in a DB and retrieve them and turn them into a trie when I frist start up the process. But I'm not sure how. I'm using Python/Django. -When a new tag is created by a user, I need to insert the new tag into the trie. But let's say I have 5 Django processes and hence 5 tries, how do I tell the other 4 tries that they need to insert a new tag too? -How to make sure the trie is threadsafe as my Django processes will be threaded (I'm using mod_wsgi). Or do I not have to worry about threadsafty because of Python's GIL? -Any way I can store the tag's frequency of use within the trie as well? How do I tell when does the tag's string end and when does the frequency start - eg. if I store apple213 into the trie, is it "apple" with frequency 213 or is it "apple2" with frequency 13??</p> <p>Any help on the issues above or any suggestions on a different approach would be really appreciated.</p>
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    1. COhow many tags are you thinking you will have?
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    2. COAre you talking about a web service where you would be using something like SOAP? If so, I would avoid using a web service for this since it would add an extra layer of complexity and cause more latency. For the autocomplete I would send AJAX requests to the server and either query the database for suggestions or query from cached database results where possible.
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    3. COAll the tags would be user created, so it's hard to tell how many will there be. It really depends on how popular my site would become
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