Freelancers by skill Thank - SEOClerks

Process Time: 0.13616895675659

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 '%Thank%') 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 '%Thank%') 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
5.488317	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'%Seobacklinks%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 40	5.488317	5.488317
0.219107	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 '%Adwords%' OR A.skills LIKE '%Adwords%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.219107	0.219107
0.213655	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 '%Seocitations%' OR A.skills LIKE '%Seocitations%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.213655	0.213655
0.173234	1	SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 46817 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Php Css Html5 Bootstrap Javascript Java%' ) LIMIT 4	0.173234	0.173234
0.164660	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 '%Larave%' OR A.skills LIKE '%Larave%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.164660	0.164660
0.160071	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 '%Adwords%' OR A.skills LIKE '%Adwords%')	0.160071	0.160071
0.158613	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 '%Seocitations%' OR A.skills LIKE '%Seocitations%')	0.158613	0.158613
0.127324	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 '%Larave%' OR A.skills LIKE '%Larave%')	0.127324	0.127324
0.120329	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%This%') ORDER BY total_recommendations desc LIMIT 0,40	0.120329	0.120329
0.119296	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%highpr%') ORDER BY total_recommendations desc LIMIT 0,40	0.119296	0.119296