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Thinking what i will write here? Actually, First time i was a online marketer and earn 100- 300 in year 2013. I was happy with it. But some time I get lot of pain when I lost my client and no work on online. So i decided to work a marketplace where I can get a lot of work and i will meet a lot of client so i sign up SEOClerk. Then I get some awesome client who are really inspire me to work here. On 17 March I got the SEOClerk feature and start my long journey.This time i added 10 members to my team and try to serve my client best, it gives me pleasure to work freely. Still i am happy with SEOClerk and with my 20 team members. I really love you guy s and SEOClerk. Year 2016- I decide i need to learn Affiliate marketing and YouTube marketing. So I take training on Affiliate and YouTube marketing and today i am a successful affiliate marketer and earn 5 figures. I will run a service for Niche Site Build and some YouTube marketing related service. Hope it will be a successful service in my life. Thanks to SEOClerk to make such platform. Best regards- yoyowebsol.

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MatchCountSQLScript
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/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 '%Resarch%') ORDER BY total_recommendations desc LIMIT 0,401SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Resarch%') ORDER BY total_recommendations desc LIMIT 0,40

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() ()

SELECT * FROM posts WHERE USERID=791741SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=79174

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM posts WHERE USERID=752401SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=75240

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM posts WHERE USERID=9740921SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=974092

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM categories1SELECT * FROM categories

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

select * from categories_software order by name asc1select * 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 asc1select * 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 asc1select * from categories_wanttotrade order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

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The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.2532481SELECT 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 (47) AND gtags like'%feed%' AND type !=99 0.2532480.253248
0.1811071SELECT 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 '%Buy%' OR A.skills LIKE '%Buy%') ORDER BY A.lastgigedit desc LIMIT 0,400.1811070.181107
0.1556901SELECT 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 '%wix%' OR A.skills LIKE '%wix%') ORDER BY A.lastgigedit desc LIMIT 0,400.1556900.155690
0.1435341SELECT 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 '%wix%' OR A.skills LIKE '%wix%')0.1435340.143534
0.1235861SELECT 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 '%Buy%' OR A.skills LIKE '%Buy%')0.1235860.123586
0.1105311SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Resarch%') ORDER BY total_recommendations desc LIMIT 0,400.1105310.110531
0.1056721SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Retweete%') ORDER BY total_recommendations desc LIMIT 0,400.1056720.105672