SEOClerks

Local SEO Services

Freelancers specializing in Local SEO will help boost your rankings locally. Buying local SEO services will bring people in the door.
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Process Time: 0.45331501960754

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM seoclerks.members WHERE username='staging' AND status='1'1SELECT USERID FROM seoclerks.members WHERE username='staging' AND status='1'

/opt/clerks-staging/docroot/include/functions/includes/member.php 627 GetUseridFromUsername() ()

SELECT * FROM categories WHERE seo=?1SELECT CATID, seo, name, metatitle, h2header, metakeywords, metadescription, metaheader, parentid, image_name FROM categories WHERE seo=?

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetCategoryInfoFromTypeSeo()

SELECT * FROM categories WHERE parentid=891SELECT CATID FROM categories WHERE parentid=89

/opt/clerks-staging/docroot/include/functions/main.php 6366 GetCategoryChildString() ()

SELECT * FROM categories WHERE parentid=89 ORDER BY total_items DESC LIMIT 81SELECT name, image_name, seo, h2header, metatitle FROM categories WHERE parentid=89 ORDER BY total_items DESC LIMIT 8

/opt/clerks-staging/docroot/include/functions/main.php 6426 GetCategoryChild() ()

SELECT * FROM query_cache WHERE query= ? LIMIT 1 1SELECT `value`, `last_checked` FROM query_cache WHERE query= ? LIMIT 1

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() queryCache()

SELECT * from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (89) AND gtags like'%france%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 401SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (89) AND gtags like'%france%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() ()

SELECT * from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (89) AND gtags like'%france%' AND type !=99 AND A.feat=1 1SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (89) AND gtags like'%france%' AND type !=99 AND A.feat=1

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() ()

SELECT * FROM categories1SELECT * FROM categories

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

SELECT * FROM promotions as p WHERE p.date_expire > UNIX_TIMESTAMP(NOW()) AND p.date_added < UNIX_TIMESTAMP(NOW()) ORDER BY p.date_added DESC 1SELECT p.* FROM promotions as p WHERE p.date_expire > UNIX_TIMESTAMP(NOW()) AND p.date_added < UNIX_TIMESTAMP(NOW()) ORDER BY p.date_added DESC

/opt/clerks-staging/docroot/index.php 2756 () ()

select * from categories_software order by name asc1select * from categories_software order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetSoftwareCategories()

select * from categories_wanttobuy order by name asc1select * from categories_wanttobuy order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories()

select * from categories_wanttotrade order by name asc1select * from categories_wanttotrade order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

SELECT * FROM categories WHERE parentid = 0 1SELECT * FROM categories WHERE parentid = 0

/opt/clerks-staging/docroot/include/functions/main.php 21555 getNotParentCategories() include()

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Expensive SQL

Tuning the following SQL could reduce the server load substantially
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Suspicious SQL

The following SQL have high average execution times
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0.4090161SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (89) AND gtags like'%france%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 400.4090160.409016