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Process Time: 0.024879932403564

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM members_ledger WHERE ip='216.73.216.180' AND querystring LIKE '%FAILED LOGIN%' AND added >= unix_timestamp(NOW())-432001SELECT COUNT(id) as total FROM members_ledger WHERE ip='216.73.216.180' AND querystring LIKE '%FAILED LOGIN%' AND added >= unix_timestamp(NOW())-43200

/opt/clerks-staging/docroot/include/functions/includes/security.php 522 CountBotLoginAttempts() ()

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
0.1878891SELECT 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 '%vba%' OR A.skills LIKE '%vba%') ORDER BY A.lastgigedit desc LIMIT 0,400.1878890.187889
0.1758681SELECT 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 '%Journalist%' OR A.skills LIKE '%Journalist%') ORDER BY A.lastgigedit desc LIMIT 0,400.1758680.175868
0.1622251SELECT 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 '%Classifieds%' OR A.skills LIKE '%Classifieds%')0.1622250.162225
0.1605161SELECT 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 '%Classifieds%' OR A.skills LIKE '%Classifieds%') ORDER BY A.lastgigedit desc LIMIT 0,400.1605160.160516
0.1583811SELECT 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 '%AdobeAfterEffect%' OR A.skills LIKE '%AdobeAfterEffect%')0.1583810.158381
0.1357221SELECT 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 '%Journalist%' OR A.skills LIKE '%Journalist%')0.1357220.135722
0.1137381SELECT 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 '%vba%' OR A.skills LIKE '%vba%')0.1137380.113738
0.1071751SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%BackgroundRe%') ORDER BY total_recommendations desc LIMIT 0,400.1071750.107175
0.1059141SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%URLRating%') ORDER BY total_recommendations desc LIMIT 0,400.1059140.105914
0.0756491SELECT count(USERID) AS total FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%BackgroundRe%') 0.0756490.075649