SEOClerks

Discussions about warning

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Hey sellers, This is not an official message just a friendly reminder to refrain from working until buyer has paid and you see the order page. Today we/support found and banned three 'buyers' sending private messags t...

  • Beverly
    Beverly Level X3
  • 16 5 years ago

    Google has never agreed with any kind of link building techniques, ever since I started learning SEO this was a widely known rule, never exaggerate with your link building or you will get penalized by Google. First, ...

  • Cristian
    Cristian Level X3
  • 3 9 years ago

    Today I have received a "warning at SEOClerks, for Reason: Invalid FAQ content". But my answer for absolutely related to the question, and without any bad content (backlinks or similar or bad words). How can happen thi...

  • PeterPerseo
    PeterPerseo Level 1
  • 1 13 years ago

    Hello friends, I once asked a question on this very same page but I got some sort of a warning from SEO clerks. Does anyone know what the basis behind this warning was because I asked a question about the withdrawal meth...

  • silver254
    silver254 Level 1
  • 3 13 years ago

    Hello, I received 3 warning mails today for Invalid FAQ content. But I answered all the questions within the scope. There was nothing wrong with them. Are there any other reason for these warnings? Also, does...

  • Xor13
    Xor13 Level 1
  • 2 13 years ago
    Order Now
    Process Time: 0.12519311904907

    Possible Duplicate queries found!
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    /opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()

    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.tags LIKE '% warning %' OR A.tags LIKE 'warning %' OR A.tags LIKE '% warning' OR A.tags='warning') 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.tags LIKE '% warning %' OR A.tags LIKE 'warning %' OR A.tags LIKE '% warning' OR A.tags='warning') 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.tags LIKE '% warning %' OR A.tags LIKE 'warning %' OR A.tags LIKE '% warning' OR A.tags='warning') 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.tags LIKE '% warning %' OR A.tags LIKE 'warning %' OR A.tags LIKE '% warning' OR A.tags='warning') 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='147'1SELECT profilepicture FROM seoclerks.members WHERE USERID='147'

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

    SELECT * FROM seoclerks.members WHERE USERID='134'1SELECT profilepicture FROM seoclerks.members WHERE USERID='134'

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

    SELECT * FROM seoclerks.members WHERE USERID='39747'1SELECT profilepicture FROM seoclerks.members WHERE USERID='39747'

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

    SELECT * FROM seoclerks.members WHERE USERID='72631'1SELECT profilepicture FROM seoclerks.members WHERE USERID='72631'

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

    SELECT * FROM seoclerks.members WHERE USERID='31483'1SELECT profilepicture FROM seoclerks.members WHERE USERID='31483'

    /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
    Avg TimeCountSQLMaxMin