Login and redirect to https://staging.seoclerks.com/user/Thacon2

Create an account below in 1 minute or less.

Process Time: 0.012727975845337

Possible Duplicate queries found!

Match	Count	SQL	Script
SELECT * FROM members_ledger WHERE ip='216.73.216.180' AND querystring LIKE '%FAILED LOGIN%' AND added >= unix_timestamp(NOW())-43200	1	SELECT 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 categories	1	SELECT * FROM categories	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()
select * from categories_software order by name asc	1	select * 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 asc	1	select * 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 asc	1	select * from categories_wanttotrade order by name asc	/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

count(*)	sql1	error_msg

Tuning the following SQL could reduce the server load substantially

Load

Count

SQL

Max

Min

The following SQL have high average execution times

Avg Time	Count	SQL	Max	Min
0.165930	1	SELECT 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 '%Python%' OR A.skills LIKE '%Python%') ORDER BY A.lastgigedit desc LIMIT 0,40	0.165930	0.165930
0.118290	1	SELECT 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 '%Python%' OR A.skills LIKE '%Python%')	0.118290	0.118290
0.104171	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Viemo%') ORDER BY total_recommendations desc LIMIT 0,40	0.104171	0.104171
0.103027	1	SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%MusicIndustry%') ORDER BY total_recommendations desc LIMIT 0,40	0.103027	0.103027
0.066360	1	SELECT count(USERID) AS total FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%MusicIndustry%')	0.066360	0.066360