Freelancers by skill htmlprogramer - SEOClerks

Process Time: 0.11728310585022

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 '%htmlprogramer%') 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 '%htmlprogramer%') 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

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Suspicious SQL

The following SQL have high average execution times

Avg Time	Count	SQL	Max	Min
0.104216	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%htmlprogramer%') ORDER BY total_recommendations desc LIMIT 0,40	0.104216	0.104216
0.090363	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 (29,73,74,75,76,104,105) AND gtags like'%funnles%' AND type !=99	0.090363	0.090363
0.052911	1	SELECT A.*, C.username, C.userlevel 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 '% succeeded %' OR A.tags LIKE 'succeeded %' OR A.tags LIKE '% succeeded' OR A.tags='succeeded') ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 40	0.052911	0.052911