Freelancers by skill Admods - SEOClerks

Process Time: 0.14303398132324

Possible Duplicate queries found!

Match	Count	SQL	Script
SELECT * FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400	1	SELECT querystring, added FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400	/opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()
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 '%Admods%') 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 '%Admods%') 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
5.104565	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'%refineedge%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	5.104565	5.104565
0.547624	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 (37) AND gtags like'%online%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	0.547624	0.547624
0.529703	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 (17,18,22,30,33,47,49,50,72,84) AND gtags like'%highqualitybackl%' AND type !=99	0.529703	0.529703
0.366221	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 (37) AND gtags like'%online%' AND type !=99	0.366221	0.366221
0.160131	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 '%Like4llike%' OR A.skills LIKE '%Like4llike%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.160131	0.160131
0.124975	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 '%Like4llike%' OR A.skills LIKE '%Like4llike%')	0.124975	0.124975
0.108803	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Admods%') ORDER BY total_recommendations desc LIMIT 0,40	0.108803	0.108803