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Process Time: 0.012996912002563

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM members_ledger WHERE ip='216.73.216.112' AND querystring LIKE '%FAILED LOGIN%' AND added >= unix_timestamp(NOW())-432001SELECT COUNT(id) as total FROM members_ledger WHERE ip='216.73.216.112' 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
0.2922931SELECT 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 ORDER BY A.bdays desc LIMIT 0,400.2922930.292293
0.1912101SELECT 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 0.1912100.191210
0.1557581SELECT 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 '%Expertise%' OR A.skills LIKE '%Expertise%') ORDER BY A.lastgigedit desc LIMIT 0,400.1557580.155758
0.1511931SELECT 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 '%adfly%' OR A.skills LIKE '%adfly%') ORDER BY A.lastgigedit desc LIMIT 0,400.1511930.151193
0.1338011SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 10619 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Facebook Ads Vochurs Coupons%' ) LIMIT 40.1338010.133801
0.1146141SELECT 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 '%Expertise%' OR A.skills LIKE '%Expertise%')0.1146140.114614
0.1024101SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Emailsigneture%') ORDER BY total_recommendations desc LIMIT 0,400.1024100.102410