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08.07.2008 at 04:20AM PDT, ID: 23628882
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6.6

Need to speed up an SQL query

Asked by CreativewithTechnology in MySQL Server

Tags:

I have this query which has been generated by another developer. Basically it's a query which returns results based on a keyword entered by the visitor. The problem is, I now need to generate a list of keywords, along with a number next to each keyword showing how many items match the keyword.

I've generated the list of keywords, and for each keyword I made a simply query to search for matching keywords in the database and return the count, which worked a treat. However, the number of matching keywords was different to the number being returned by the search itself.

I need to overcome this issue, so I've looked at the query used to return the search results, but when I use this same query to count the number of matching keywords, it takes 45 seconds to generate the page. This is because there are about 400-500 keywords in the table, so for each keyword it's running the query to count the number of matches.

So basically, I need the attached query to run quicker.

Can anyone help?Start Free Trial 
1:

$query = "select format_id, dam_assets.asset_id as asset_id,dam_assets.name as assetname,dam_assets.description as assetdesc from dam_assets,dam_asset_media as all_media, dam_xref_data as media_xref, dam_xref_data as data_xref, dam_asset_data as all_data where all_media.asset_id = dam_assets.asset_id and all_data.asset_id = dam_assets.asset_id and media_xref.xref_data_id = all_media.format_id and data_xref.xref_data_id = all_data.xref_data_id and ( exists (select 1 from dam_asset_keywords as keywords where keywords.asset_id = dam_assets.asset_id and (keyword = '".addslashes($keyword)."' or keyword like '".addslashes($keyword)." %' or keyword like '% ".addslashes($keyword)." %' or keyword like '% ".addslashes($keyword)."' ))) group by asset_id,assetname,assetdesc order by assetname";
[+][-]08.07.2008 at 05:50AM PDT, ID: 22180388

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[+][-]08.07.2008 at 06:00AM PDT, ID: 22180461

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[+][-]08.07.2008 at 06:20AM PDT, ID: 22180619

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[+][-]08.07.2008 at 06:26AM PDT, ID: 22180668

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[+][-]08.07.2008 at 06:32AM PDT, ID: 22180718

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[+][-]08.07.2008 at 06:45AM PDT, ID: 22180838

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[+][-]08.07.2008 at 06:49AM PDT, ID: 22180882

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[+][-]08.07.2008 at 06:54AM PDT, ID: 22180926

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[+][-]08.07.2008 at 07:01AM PDT, ID: 22180996

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[+][-]08.07.2008 at 07:13AM PDT, ID: 22181121

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[+][-]08.07.2008 at 07:17AM PDT, ID: 22181151

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[+][-]08.07.2008 at 07:39AM PDT, ID: 22181386

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[+][-]08.07.2008 at 08:12AM PDT, ID: 22181734

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[+][-]08.07.2008 at 08:25AM PDT, ID: 22181879

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About this solution

Zone: MySQL Server
Tags: MYSQL, SQL
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Solution Provided By: virmaior
Participating Experts: 2
Solution Grade: A
 
 
 
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