SEOClerks


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I can do 1000 Old receipt task and Invoice Digitization task of data entry ...

Dataentr Task

Critical for a successful crowdfunding project besides a good idea & aw...

  • medcous
    medcous Level 1
  • Entrepre Multitas

    I will give you 300 Real Humans Ask.fm answer likes if you give me 5. If yo...

  • funnyjeww
    funnyjeww Level 1
  • Give Me Money

    I want 1000 sign up to point2shop from my referal link i will give you 10 a...

  • ahmedmohamed
    ahmedmohamed Level 1
  • someone who have

    I will RT S O you to my 100000 followers. What will yo give me?

    administ ask access
    Order Now
    Process Time: 0.042770147323608

    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 '%ask%' OR A.skills LIKE '%ask%')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 '%ask%' OR A.skills LIKE '%ask%')

    /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 '%ask%' OR A.skills LIKE '%ask%') 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 '%ask%' OR A.skills LIKE '%ask%') 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='4837'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='4837'

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

    SELECT * FROM tradebids WHERE active=1 AND tradeid='3254'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='3254'

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

    SELECT * FROM tradebids WHERE active=1 AND tradeid='1546'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='1546'

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

    SELECT * FROM tradebids WHERE active=1 AND tradeid='788'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='788'

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

    SELECT * FROM tradebids WHERE active=1 AND tradeid='130'1SELECT COUNT(bidid) AS total FROM tradebids WHERE active=1 AND tradeid='130'

    /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