Apologies on the email flood, my email client decided to do the most
useless of all possible actions.
On Sun, Dec 14, 2014 at 11:53 PM, Ashton Kemerling
<ashtonkemerl...@gmail.com> wrote:
Honestly, it sounds like you'll either need to move the indexing into
memor
On Sun, Dec 14, 2014 at 8:54 PM, Sam Raker <sam.ra...@gmail.com>
wrote:
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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