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registered: 23.10.2013 |
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MySQL Index Seo
A user selects a new taxonomy from the front end which in turn corresponds to a bunch of types. We use this listing of categories to limit the category dictionary Id's in the category_definitions table. However,parajumpers norge, the issue is that because of the way I have set up the indices the products are very first clustered according to his or her dictionary words after which these sub teams are automatic obtained using the reverse timestamp. For that reason, when the query is executed the first 20 outcomes are not the Latest kinds. They are in fact Twenty most recent records for that particular cluster of the dictionary word.
I tried working around this concern by appending a WHERE clause,Parajumpers Jacka, like consequently:This solves the issue, but my query takes over 2 minutes to execute now for criterias that demand a lot of nested conditions. Here is an explain statement for one of these queries in which took 155 mere seconds to execute!1SIMPLEcategories_dictionaryrangePRIMARYWordPRIMARY4NULL918Using whereConsidering how the amount of rows isn't such I don't understand why this question is taking so long. Also i tried using Order By Reverse_Timestamp but which takes even longer! It progresses to file sort as well as creating temporary dining tables for categories_dictionary.
Any guidance as to how I must proceed will be significantly appreciated,parajumpers rea. Thanks for experiencing this.
Edit: Appears like I played cast in stone with the terminology from the word 'clustered index',parajumpers jakke norge. I renewed my memory and it seems like the secondary indexes are not responding well because I haven't employed a proper primary index on some of my tables,where to buy canada goose online. I hope this kind of fixes it.
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