SEOClerks

Am an Online Reputation Management Expert, Help Name, Brand, Firms, Companies, Institutes, Colleges, People Etc To build back their Lost Image from Defamatory Content in Google on Different keywords. I also can Generate Google Suggestions and I also can Kick off the Suggestions from Google that you need. Social Media Freaker to provide best Facebook, Instagram, Twitter, Linkedin, Pinterest , Youtube Etc Guidelines for build Market.

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Process Time: 0.12754487991333

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-864001SELECT querystring, added FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400

/opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()

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

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

SELECT * FROM posts WHERE USERID=5099771SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=509977

/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()

Invalid SQL

count(*)sql1error_msg

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
0.4146471SELECT 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 (51) AND gtags like'%emailmarketing%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 400.4146470.414647
0.1712791SELECT 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 '%Hindi%' OR A.skills LIKE '%Hindi%') ORDER BY A.lastgigedit desc LIMIT 0,400.1712790.171279
0.1575941SELECT 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 '%10000twitterfo%' OR A.skills LIKE '%10000twitterfo%') ORDER BY A.lastgigedit desc LIMIT 0,400.1575940.157594
0.1390801SELECT 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 '%10000twitterfo%' OR A.skills LIKE '%10000twitterfo%')0.1390800.139080
0.1114111SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Png%') ORDER BY total_recommendations desc LIMIT 0,400.1114110.111411
0.1059311SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%urls%') ORDER BY total_recommendations desc LIMIT 0,400.1059310.105931
0.0991461SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Charts%') ORDER BY total_recommendations desc LIMIT 0,400.0991460.099146
0.0967691SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%cisco%') ORDER BY total_recommendations desc LIMIT 0,400.0967690.096769
0.0959141SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Internetreputation%') ORDER BY total_recommendations desc LIMIT 0,400.0959140.095914