SEOClerks

Discussions about Front

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How exactly do the two features Work? if there is anyone who understands these things, please give me some info...

  • HenryNine
    HenryNine Level 3
  • 5 7 years ago

    Good day folks, I am not quite sure how it is working, but I pressed yesterday "bump" on my topic sell gig, but I did not see it in the front of "home page" so why is that? Should I be some "premium" member or somethin...

  • DBTechLabs
    DBTechLabs Level 1
  • 3 10 years ago

    Thanq all before answering my question... I put a service in seoclerks recently as i gig should come in the front page of seoclerks after featured gigs...But i am not able to see my gig in the front page of seoclerks whi...

    1 12 years ago

    we are write in gig but we have no idea how to change front . sometimes we are wish to use graph but we are not able to use it . everybody write same front its don`t creative . i wish to chance front and graph use . ...

  • sunbeam
    sunbeam Level 1
  • 0 12 years ago

    I've posted a Gig and it was on the first page for a period of time but dropped off (in like 20-30 min). How do I get it back to the first page? How do those featured gigs remain on the first page?

  • XrummerMan
    XrummerMan Level 1
  • 5 14 years ago
    Order Now
    Process Time: 0.11659502983093

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    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 '% Front %' OR A.tags LIKE 'Front %' OR A.tags LIKE '% Front' OR A.tags='Front') 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 '% Front %' OR A.tags LIKE 'Front %' OR A.tags LIKE '% Front' OR A.tags='Front') ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 40

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    /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
    0.6790461SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (53) AND gtags like'%YTChannel%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 400.6790460.679046
    0.4311861SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (62) AND gtags like'%unique%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 400.4311860.431186
    0.1127271SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%datarefining%') ORDER BY total_recommendations desc LIMIT 0,400.1127270.112727