SEOClerks

HELLO DEAR, I am shaira from BANGLADESH & I am a professional SEO Expert,I have been working for last three years. All time, I want to give my better service to my buyer. 24 7 I m ready to give my service to my Buyer. YOU TRUST ME. http: www.seoclerks.com user shaira.

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Hi there.I m Mehidih. I m a professional SEO & SMM Expert also Web Designer & Web Page Developer. I ve an experienced to work on other marketplaces for 3 years. Always, I complete my work honestly and quickly. & always I give my best service to my every buyer. So, we would help well the buyer who are willing to receive our best services. If there is any question, contact me, please. As we are very attentive, we reply to any question very fast. I m here 24 X 7 hours online to help You with full support. Thank You so much & God Bless You.

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Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-864001SELECT querystring, added FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400

/opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()

SELECT * FROM query_cache WHERE query= ? LIMIT 1 1SELECT `value`, `last_checked` FROM query_cache WHERE query= ? LIMIT 1

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

SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Friends%') ORDER BY total_recommendations desc LIMIT 0,401SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Friends%') ORDER BY total_recommendations desc LIMIT 0,40

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

SELECT * FROM posts WHERE USERID=264801SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=26480

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

SELECT * FROM posts WHERE USERID=1482781SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=148278

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

SELECT * FROM posts WHERE USERID=4388511SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=438851

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

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()

Invalid SQL

count(*)sql1error_msg

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
0.1738011SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%Markerting%' OR A.skills LIKE '%Markerting%') ORDER BY A.lastgigedit desc LIMIT 0,400.1738010.173801
0.1061511SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Friends%') ORDER BY total_recommendations desc LIMIT 0,400.1061510.106151