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Like The Title Above, Is That Ok We Bump our Service By Use Update Service?? Example: I am Go to Edit Service, Then I Change the words "Coupon" to "Coupons" And Update it And then My Service Goes at the top of the U...

  • rehiga
    rehiga Level 3
  • 4 7 years ago

    Hi, I Am New In SEOclerks. My Name is Rehiga Muktilana, I am From Indonesian I am Still a Student In High School Like The Title, Are Reasonable High School Students Become Freelancer I Do This Side Jobs Be...

  • rehiga
    rehiga Level 3
  • 10 7 years ago
    Order Now
    Process Time: 0.13151288032532

    Possible Duplicate queries found!
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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 '% Ok %' OR A.tags LIKE 'Ok %' OR A.tags LIKE '% Ok' OR A.tags='Ok') 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 '% Ok %' OR A.tags LIKE 'Ok %' OR A.tags LIKE '% Ok' OR A.tags='Ok') 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 '% Ok %' OR A.tags LIKE 'Ok %' OR A.tags LIKE '% Ok' OR A.tags='Ok') 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 '% Ok %' OR A.tags LIKE 'Ok %' OR A.tags LIKE '% Ok' OR A.tags='Ok') 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='844576'1SELECT profilepicture FROM seoclerks.members WHERE USERID='844576'

    /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