SEOClerks


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Hello I want to buy TIK TOK BOT for uplload videos like follow accounts... ...

  • ShOk3R
    ShOk3R Level 1
  • Level4 Level3 Level2

    Hello everyone, I want to have 1 million subscribers added to my YouTube Ch...

  • blife87
    blife87 Level 1
  • Level3 Youtube Subscrib

    hi im looking for 3 people to join our social network site i will pay 1 eac...

  • socialfanz12
    socialfanz12 Level 1
  • Level3 Level2 Level1

    need yahoo account urgent with level 2 and i need 4 yahoo answers account. ...

  • bikezh
    bikezh Level 1
  • level1
    Order Now
    Process Time: 0.29428911209106

    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 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 '%level1%' OR A.skills LIKE '%level1%')1SELECT 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 '%level1%' OR A.skills LIKE '%level1%')

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

    SELECT * 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 '%level1%' OR A.skills LIKE '%level1%') ORDER BY A.lastgigedit desc LIMIT 0,401SELECT 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 '%level1%' OR A.skills LIKE '%level1%') ORDER BY A.lastgigedit desc LIMIT 0,40

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='73585'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='73585'

    /opt/clerks-staging/docroot/include/functions/main.php 18501 GetTotalBids() ChangeWTBPostData()

    SELECT * FROM wantbids WHERE active=1 AND wantid='56114'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='56114'

    /opt/clerks-staging/docroot/include/functions/main.php 18501 GetTotalBids() ChangeWTBPostData()

    SELECT * FROM wantbids WHERE active=1 AND wantid='45663'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='45663'

    /opt/clerks-staging/docroot/include/functions/main.php 18501 GetTotalBids() ChangeWTBPostData()

    SELECT * FROM wantbids WHERE active=1 AND wantid='5581'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='5581'

    /opt/clerks-staging/docroot/include/functions/main.php 18501 GetTotalBids() ChangeWTBPostData()

    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
    0.1581551SELECT 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 '%Shop%' OR A.skills LIKE '%Shop%') ORDER BY A.lastgigedit desc LIMIT 0,400.1581550.158155
    0.1564221SELECT 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 '%plus1%' OR A.skills LIKE '%plus1%') ORDER BY A.lastgigedit desc LIMIT 0,400.1564220.156422
    0.1474831SELECT 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 '%level1%' OR A.skills LIKE '%level1%') ORDER BY A.lastgigedit desc LIMIT 0,400.1474830.147483
    0.1260051SELECT 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 '%Shop%' OR A.skills LIKE '%Shop%')0.1260050.126005
    0.1172171SELECT 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 '%plus1%' OR A.skills LIKE '%plus1%')0.1172170.117217
    0.1139191SELECT 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 '%level1%' OR A.skills LIKE '%level1%')0.1139190.113919
    0.1078931SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Node%') ORDER BY total_recommendations desc LIMIT 0,400.1078930.107893