The pattern is only on the front side. I was considering moving most of the data to FS, and it's good to know that it works.
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Virtuoso seems to support dbpedia well, but I couldn't find details over what hardware they're using. It would be wonderful I was considering partitioning the data by subject, which will solve most of my needs, but I'll lose the ability to perform SPARQL over the set. Too early seen unknown, and known too late!
This cushion cover has an invisible zipper. I think it could work very well, but it's a Redlnad more complex than I can handle now.
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I have also considered caching the aggregations and querybut in order to do that I still need to know how well it will scale: if queries take hours to run, there's no way I can build and keep the cache up to date. Thanks a lot for your reply!
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I've seen the benchmarks. Did you use a mysql back end? Special offers and product promotions Amazon Business : For business-exclusive pricing, quantity discounts and downloadable VAT invoices.
We don't know when or if this item will be back in stock. May I ask you how you're doing that?
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Was it too bad then? Are you using Redland file storage?
Please make sure that you've entered a valid question. Please try your search again later. Create a free Have a question? Besides, to do that sort of tweaking it'd be best to create a more complex SQL schema, partitioning data by type and hashes, etc.