I'm (still) pulling tweets from twitter, processing them, and storing them 
in CouchDB with hashtags as doc ids, such that if a tweet contains 3 
hashtags, that tweet will be indexed under each of those 3 hashtags. My 
application hits CouchDB for the relevant document and uses Cheshire to 
convert the resulting string to a map. The map's values consist of a few 
string values and an array that consists of all the tweets that contain 
that hashtag. The problem is thus with common hashtags: the more tweets 
contain a given hashtag, the long that hashtag's "tweets" array will be, 
and, additionally, the more often that document will be retrieved from 
CouchDB. The likelihood and magnitude of performance hits on my app are 
therefore correlated, which is Bad.

I'm reaching out to you all for suggestions about how best to deal with 
this situation. Some way of caching something, somehow? I'm at a loss, but 
I want to believe there's a solution.


Thanks,
-sam

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