SEOClerks


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I am looking for someone who has paid access of any of the backlink researc...

  • atozdigital
    atozdigital Level 1
  • Backlink Research ahref

    I need the DR increasing in 15-25 days method If any body can provide me th...

  • Guestpost500
    Guestpost500 Level 1
  • SEO DR Domain

    Please read carefully before bidding I have one website with DA 66 and DR 6...

  • jussay
    jussay Level 1
  • seo backlink traffic

    Increase ahrefs domain rank from 70 to 85 guaranteed or full refund. This m...

  • dohexagon
    dohexagon Level 1
  • ahrefs seo dr

    Hi, I need 12 PBN blogs where you can publish my 12 unique, ready to publis...

  • ethan45
    ethan45 Level 1
  • backlink seo ahref

    I need exact backlinks that recruitmentbeam.com.ng has, every external link...

  • FlashGeek
    FlashGeek Level 1
  • Backlink Seo Moz

    i am looking for a person who can find most profitable MicroNiche and their...

  • Sophia76
    Sophia76 Level 1
  • Ahref Semrush Googlewe

    only ahrefs tool required. Spam score csv file. competitors inbound links c...

    ahrefs disavow seo

    I am looking for a script or code for Site s Value Calculator to be placed ...

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    Process Time: 0.35685276985168

    Possible Duplicate queries found!
    MatchCountSQLScript
    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 '%Ahref%' OR A.skills LIKE '%Ahref%')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 '%Ahref%' OR A.skills LIKE '%Ahref%')

    /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 '%Ahref%' OR A.skills LIKE '%Ahref%') 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 '%Ahref%' OR A.skills LIKE '%Ahref%') 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='75320'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='75320'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='74502'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='74502'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='74360'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='74360'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='74300'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='74300'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='72919'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='72919'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='72269'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='72269'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='69430'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='69430'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='69188'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='69188'

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

    SELECT * FROM wantbids WHERE active=1 AND wantid='14855'1SELECT COUNT(bidid) AS total FROM wantbids WHERE active=1 AND wantid='14855'

    /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
    0.5212461SELECT count(A.PID) as total from posts A , seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND A.USERID=C.USERID AND category IN (17,18,22,30,33,47,49,50,72,84) AND gtags like'%GoogleRanking%' AND type !=99 0.5212460.521246
    0.1726001SELECT 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 '%Ahref%' OR A.skills LIKE '%Ahref%') ORDER BY A.lastgigedit desc LIMIT 0,400.1726000.172600
    0.1716281SELECT 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 '%Gameplay%' OR A.skills LIKE '%Gameplay%') ORDER BY A.lastgigedit desc LIMIT 0,400.1716280.171628
    0.1629481SELECT 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 '%Partnership%' OR A.skills LIKE '%Partnership%') ORDER BY A.lastgigedit desc LIMIT 0,400.1629480.162948
    0.1563041SELECT 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 '%digitalpoint%' OR A.skills LIKE '%digitalpoint%')0.1563040.156304
    0.1409201SELECT 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 '%Ahref%' OR A.skills LIKE '%Ahref%')0.1409200.140920
    0.1341631SELECT 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 '%Gameplay%' OR A.skills LIKE '%Gameplay%')0.1341630.134163
    0.1247441SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Drop%') ORDER BY total_recommendations desc LIMIT 0,400.1247440.124744
    0.1078621SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Application%') ORDER BY total_recommendations desc LIMIT 0,400.1078620.107862
    0.1045251SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Flash%') ORDER BY total_recommendations desc LIMIT 0,400.1045250.104525