Freelancers by skill MariaD - SEOClerks

Process Time: 0.16977882385254

Possible Duplicate queries found!

Match	Count	SQL	Script
SELECT * FROM query_cache WHERE query= ? LIMIT 1	1	SELECT `value`, `last_checked` FROM query_cache WHERE query= ? LIMIT 1	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() queryCache()
SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%MariaD%') ORDER BY total_recommendations desc LIMIT 0,40	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%MariaD%') ORDER BY total_recommendations desc LIMIT 0,40	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() ()
SELECT * FROM categories	1	SELECT * FROM categories	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()
select * from categories_software order by name asc	1	select * 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 asc	1	select * 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 asc	1	select * from categories_wanttotrade order by name asc	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

Invalid SQL

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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

Avg Time	Count	SQL	Max	Min
17.173230	1	SELECT 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 (42,64,90) AND gtags like'%Css%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	17.173230	17.173230
0.531833	1	SELECT count(A.PID) as total from posts A , seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND A.USERID=C.USERID AND category IN (18) AND gtags like'%seoservices%' AND type !=99	0.531833	0.531833
0.530184	1	SELECT 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 (22) AND gtags like'%blognetwork%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	0.530184	0.530184
0.523850	1	SELECT 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 (51) AND gtags like'%SaleLeads%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	0.523850	0.523850
0.339121	1	SELECT count(A.PID) as total from posts A , seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND A.USERID=C.USERID AND category IN (22) AND gtags like'%blognetwork%' AND type !=99	0.339121	0.339121
0.173330	1	SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%Socialboost%' OR A.skills LIKE '%Socialboost%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.173330	0.173330
0.151087	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%MariaD%') ORDER BY total_recommendations desc LIMIT 0,40	0.151087	0.151087
0.133691	1	SELECT COUNT(A.wantid) AS total FROM wanttobuy as A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%Socialboost%' OR A.skills LIKE '%Socialboost%')	0.133691	0.133691
0.087216	1	SELECT A.*, C.username, C.userlevel, C.lastlogin, C.ip, C.lip FROM posts A, seoclerks.members C WHERE A.USERID!='' AND A.active=1 AND A.type=0 AND A.USERID=C.USERID AND sold_out=0 AND C.userlevel>1 AND A.viewcount > 10000 AND A.positive_ratings > 100 LIMIT 600	0.087216	0.087216
0.055478	1	SELECT count(A.quesid) as total FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND (A.tags LIKE '% windowsapplicati %' OR A.tags LIKE 'windowsapplicati %' OR A.tags LIKE '% windowsapplicati' OR A.tags='windowsapplicati') LIMIT 1	0.055478	0.055478