SEOClerks

Answers from user ideal9

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This has really annoyed me now when ever I say the work Sk*ype in a message it always stops me please fix this stupid thing I am trying to send someone my Sk*ype!

  • ideal9
    ideal9 Level 1
  • 14 14 years ago

    How do I get my money back as the order I placed the person who owns that account has been deleted. The gig is owned by SEOLee but it seems to me he no longer has an account.

  • ideal9
    ideal9 Level 1
  • 14 14 years ago
    Order Now
    Process Time: 0.042638063430786

    Possible Duplicate queries found!
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    /opt/clerks-staging/docroot/include/functions/includes/member.php 627 GetUseridFromUsername() ()

    SELECT * FROM answers WHERE userid=107831SELECT distinct quesid FROM answers WHERE userid=10783

    /opt/clerks-staging/docroot/faq.php 258 () ()

    SELECT * FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND A.quesid IN (956,1053) LIMIT 11SELECT count(A.quesid) as total FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND A.quesid IN (956,1053) LIMIT 1

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

    SELECT * FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND A.quesid IN (956,1053) ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 401SELECT A.*, C.username, C.userlevel FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND A.quesid IN (956,1053) ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 40

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

    SELECT * from questions as A where A.status='1' 1SELECT count(A.quesid) as total from questions as A where A.status='1'

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

    SELECT * FROM answers as A where A.status='1' 1SELECT count(A.ansid) as total FROM answers as A where A.status='1'

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

    SELECT * FROM members_ledger WHERE (script='/opt/clerks-staging/docroot/faq.php' OR script='/opt/clerks-staging/docroot/viewfaq.php') AND added>=UNIX_TIMESTAMP(NOW())-1200 GROUP BY USERID 1SELECT USERID, username FROM members_ledger WHERE (script='/opt/clerks-staging/docroot/faq.php' OR script='/opt/clerks-staging/docroot/viewfaq.php') AND added>=UNIX_TIMESTAMP(NOW())-1200 GROUP BY USERID

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

    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()

    SELECT * FROM seoclerks.members WHERE USERID='10783'1SELECT profilepicture FROM seoclerks.members WHERE USERID='10783'

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

    select * from categories_faq order by name asc1select * from categories_faq order by name asc

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

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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
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