SEOClerks


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Intel Xeon E3-1240 3.40 GHz 2 Core 2 GB RAM 5TB bandwith 20GB SSD Storage D...

  • Kenshin84
    Kenshin84 Level 1
  • 100klike

    I have a twitter following of well over 90.4k they re really responsive and...

    Twitterf

    I want traffic of 5000 to my fitness blog. In order to get that, I am willi...

    Traffic Realtraf Dripfedt

    i want 5000 twitter accounts list with password , arabic names , pics , bio...

  • sliver2011
    sliver2011 Level 3
  • Facebook Computer Blogging

    I need 500 Twitter Followers TONIGHT!

  • bloodyslave
    bloodyslave Level 1
  • 500 twitter follower
    Order Now
    Process Time: 0.039405107498169

    Possible Duplicate queries found!
    MatchCountSQLScript
    SELECT * FROM wanttotrade as A, categories_wanttotrade B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%500%' OR A.skills LIKE '%500%')1SELECT COUNT(A.tradeid) AS total FROM wanttotrade as A, categories_wanttotrade B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%500%' OR A.skills LIKE '%500%')

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

    SELECT * FROM wanttotrade A, categories_wanttotrade B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%500%' OR A.skills LIKE '%500%') 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 wanttotrade A, categories_wanttotrade B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%500%' OR A.skills LIKE '%500%') ORDER BY A.lastgigedit desc LIMIT 0,40

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

    SELECT * FROM tradebids WHERE active=1 AND tradeid='4039'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='4039'

    /opt/clerks-staging/docroot/include/functions/main.php 18513 GetTotalWTTBids() ChangeWTTPostData()

    SELECT * FROM tradebids WHERE active=1 AND tradeid='3593'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='3593'

    /opt/clerks-staging/docroot/include/functions/main.php 18513 GetTotalWTTBids() ChangeWTTPostData()

    SELECT * FROM tradebids WHERE active=1 AND tradeid='1900'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='1900'

    /opt/clerks-staging/docroot/include/functions/main.php 18513 GetTotalWTTBids() ChangeWTTPostData()

    SELECT * FROM tradebids WHERE active=1 AND tradeid='1192'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='1192'

    /opt/clerks-staging/docroot/include/functions/main.php 18513 GetTotalWTTBids() ChangeWTTPostData()

    SELECT * FROM tradebids WHERE active=1 AND tradeid='74'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='74'

    /opt/clerks-staging/docroot/include/functions/main.php 18513 GetTotalWTTBids() ChangeWTTPostData()

    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()

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    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