Freelancers by skill Freezing - SEOClerks

Process Time: 0.17810797691345

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 '%Freezing%') 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 '%Freezing%') 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

count(*)	sql1	error_msg

Expensive SQL

Tuning the following SQL could reduce the server load substantially

Load	Count	SQL	Max	Min
0.410071	2	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	0.238608	0.171463

Suspicious SQL

The following SQL have high average execution times

Avg Time	Count	SQL	Max	Min
15.667696	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 (17,18,22,30,33,47,49,50,72,84) AND gtags like'%droppshipping%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	15.667696	15.667696
1.173585	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'%1m%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	1.173585	1.173585
1.073755	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'%5k%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	1.073755	1.073755
1.001485	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 (62) AND gtags like'%CompetitorResear%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	1.001485	1.001485
0.205036	2	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	0.238608	0.171463
0.140531	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Freezing%') ORDER BY total_recommendations desc LIMIT 0,40	0.140531	0.140531
0.064971	1	SELECT `value`, `last_checked` FROM query_cache WHERE query= ? LIMIT 1	0.064971	0.064971
0.057145	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 '% Opera %' OR A.tags LIKE 'Opera %' OR A.tags LIKE '% Opera' OR A.tags='Opera') LIMIT 1	0.057145	0.057145