SEOClerks

Answers from user Gandalf

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Do you remember to Google Page Rank? Well of course you do! Some people and "SEOs" still use it as a metric even if it hasn't been updated in years. But we aren't going to talk about the dead Google Page Rank score in th...

  • Cristian
    Cristian Level X3
  • 14 9 years ago

    I have noticed recently that there are quite a few forums out there that have free domains yet are extremely active. There are several forums on these free hosted and free domain that have posts in the hundreds of thousa...

  • DarthHazard
    DarthHazard Level 1
  • 43 9 years ago

    I use to be on a few hosting websites some not had much luck with if it wasn't servers down it was bad support . Fasthosts I started with which turned out to be bad move so I changed to 123-reg which am still with for a ...

  • keen2write
    keen2write Level 1
  • 6 9 years ago
    Order Now
    Process Time: 0.046962022781372

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

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    /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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    /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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