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HELLO.... I m Social marketing, Back linking, Graphics Design service provider...my aim is make your work or business more connected with the whole world... PLACE ME AN ORDER AND KEEP SMILING......... I am individual aimed to provide quality and unique services. I m very proficient and have valuable experience in Data Entry, MS Excel, MS Word, PDF to Excel, PDF to word, Photoshop, Business card design, logo design, and other various business related works.

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Muzammil Ijaz Tutorial Maker, Web Designer Developer, Photoshop Designer, Thinker and a Creative Writer. With coffee running through his veins and being

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Am very dedicated, trusted and always tend to keep my customers highly satisfied with my exclusive service. I am new here, but soon I will prove my worth with my service.

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Process Time: 0.16485691070557

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM query_cache WHERE query= ? LIMIT 1 1SELECT `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 '%animated%') ORDER BY total_recommendations desc LIMIT 0,401SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%animated%') ORDER BY total_recommendations desc LIMIT 0,40

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

SELECT * FROM posts WHERE USERID=2319641SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=231964

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

SELECT * FROM posts WHERE USERID=4427251SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=442725

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

SELECT * FROM posts WHERE USERID=3040741SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=304074

/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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Expensive SQL

Tuning the following SQL could reduce the server load substantially
LoadCountSQLMaxMin

Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.7987831SELECT 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'%pdfsubmission%' AND type !=99 0.7987830.798783
0.2078441SELECT 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 '%masterno%' OR A.skills LIKE '%masterno%') ORDER BY A.lastgigedit desc LIMIT 0,400.2078440.207844
0.1915141SELECT 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 '%Bulktraffic%' OR A.skills LIKE '%Bulktraffic%') ORDER BY A.lastgigedit desc LIMIT 0,400.1915140.191514
0.1907321SELECT 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 '%hatseo%' OR A.skills LIKE '%hatseo%') ORDER BY A.lastgigedit desc LIMIT 0,400.1907320.190732
0.1676281SELECT 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 '%masterno%' OR A.skills LIKE '%masterno%')0.1676280.167628
0.1572071SELECT 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 '%Bulktraffic%' OR A.skills LIKE '%Bulktraffic%')0.1572070.157207
0.1506791SELECT 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 '%hatseo%' OR A.skills LIKE '%hatseo%')0.1506790.150679
0.1226641SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%animated%') ORDER BY total_recommendations desc LIMIT 0,400.1226640.122664
0.1183101SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%frontend%') ORDER BY total_recommendations desc LIMIT 0,400.1183100.118310