You know I thought about that, is it really better to open a file and
read the contents then just querying the database?

Maybe for a table of my size, opening files would be faster, so
definately a consideration.

So considering this solution, how would you load the keywords from a
local file on a disk? If I am not wrong, you have to just download it
via http because there is no direct local file load right? If so, then
won't that also compound the loading times of a local file?

On Dec 18, 2:34 am, "Nick Johnson (Google)" <[email protected]>
wrote:
> Hi,
>
>
>
> On Thu, Dec 17, 2009 at 10:48 PM, killer barney <[email protected]> wrote:
> > sorry, hopefully I can explain in better detail :)
>
> > I have a list of keywords in a table that's the size of thousands.  It
> > changes, but not very often, so the list doesn't have to be updated
> > all that often.
>
> > When I receive a body of text, I want to highlight the keywords in the
> > body of text.  So I have to constantly compare the body of text to my
> > keywords.  Because of that, I think querying would be too large a hit
> > on the database.  So I have a working version where I store in
> > memcache keywords sharded by letter, for example storing all keywords
> > starting with the letter 'A', and so forth.  This is a temporary fix
> > that will work for now but will cause problems later as my keywords
> > exceed 1000 per letter.  Not only that, when the memcache gets
> > disposed, the user will have to query to populate that memcache, which
> > could take a really long time for that unlucky person who has to
> > populate the memcache for everybody else.
>
> > So looking for a better version of what I'm currently doing.
>
> Why not simply load the keywords from a local file on disk?
>
> -Nick Johnson
>
>
>
>
>
> > On Dec 16, 5:12 am, "Nick Johnson (Google)" <[email protected]>
> > wrote:
> > > Hi,
>
> > > It's difficult to comment usefully without more information. Where do you
> > > get your list from? How is it calculated? How large is it?
>
> > > -Nick Johnson
>
> > > On Tue, Dec 15, 2009 at 11:11 PM, killer barney <[email protected]>
> > wrote:
> > > > I have a question that perhaps someone can give me some insight on.
>
> > > > I have a list of thousands of keywords in my website that I am going
> > > > to constantly need to query and iterate through.  So I thought rather
> > > > than querying for every keyword in the datastore everytime, I should
> > > > store it in the memcache.  But even this doesn't seem like a very good
> > > > solution as the memcache gets eliminated and I'm going to have to
> > > > somehow query the whole list and store it back into memcache everytime
> > > > it gets disposed of.
>
> > > > I thought about having the list stored as sharded arrays into
> > > > memcache, so when it does get disposed of, then I only have to update
> > > > the keywords that start with "N", for example, but this still doesn't
> > > > seem like the best solution.
>
> > > > Is there a better way to do this?
>
> > > > --
>
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>
> > > --
> > > Nick Johnson, Developer Programs Engineer, App Engine
> > > Google Ireland Ltd. :: Registered in Dublin, Ireland, Registration
> > Number:
> > > 368047
>
> > > --
> > > Nick Johnson, Developer Programs Engineer, App Engine
> > > Google Ireland Ltd. :: Registered in Dublin, Ireland, Registration
> > Number:
> > > 368047
>
> > --
>
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>
> --
> Nick Johnson, Developer Programs Engineer, App Engine
> Google Ireland Ltd. :: Registered in Dublin, Ireland, Registration Number:
> 368047

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