SEOClerks

Hello, I am specialized in social media marketing with Facebook, Twitter, Instagram, YouTube, LinkedIn, Google , Pinterest. I think my skills and experience will help you and your farm. If you hire me. I am ready to start right now. Waiting for your kind response. Thanks.

YoutubeserviceYoutubelikesYoutubeviewsTwitterfollowaTweetSoundcloudfoll

I m a REAL ENGLISH SPEAKING Seller. I used to be one of the top buyers on SEOClerk... But now I sell my own services for all social media needs. I currently specialize in YOUTUBE & INSTAGRAM.

YoutubeBuyingMoneyYoutubeviewsYoutubelikesViews
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Process Time: 0.24201011657715

Possible Duplicate queries found!
MatchCountSQLScript
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 '%Instafollower%') 1SELECT count(USERID) AS total FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Instafollower%')

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

INSERT INTO query_cache ( `query`, `value`, `request_count`, `last_checked`, `time_added` ) VALUES (?, ?, 1, UNIX_TIMESTAMP(NOW()), UNIX_TIMESTAMP(NOW())) 1INSERT INTO query_cache ( `query`, `value`, `request_count`, `last_checked`, `time_added` ) VALUES (?, ?, 1, UNIX_TIMESTAMP(NOW()), UNIX_TIMESTAMP(NOW()))

/opt/clerks-staging/docroot/include/functions/includes/cache.php 316 queryCache() ()

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

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

SELECT * FROM posts WHERE USERID=1958191SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=195819

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

SELECT * FROM posts WHERE USERID=3588871SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=358887

/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()

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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
0.4553371SELECT 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 (47) AND gtags like'%Blogs%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 400.4553370.455337
0.1817601SELECT 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 '%Wrighting%' OR A.skills LIKE '%Wrighting%') ORDER BY A.lastgigedit desc LIMIT 0,400.1817600.181760
0.1729981SELECT 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 '%campaign%' OR A.skills LIKE '%campaign%') ORDER BY A.lastgigedit desc LIMIT 0,400.1729980.172998
0.1593941SELECT COUNT(A.wantid) AS total FROM wanttobuy as 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 '%emailer%' OR A.skills LIKE '%emailer%')0.1593940.159394
0.1386641SELECT COUNT(A.wantid) AS total FROM wanttobuy as 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 '%Wrighting%' OR A.skills LIKE '%Wrighting%')0.1386640.138664
0.1255021SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%uptotes%') ORDER BY total_recommendations desc LIMIT 0,400.1255020.125502
0.1140961SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Instafollower%') ORDER BY total_recommendations desc LIMIT 0,400.1140960.114096
0.0821681SELECT count(USERID) AS total FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Instafollower%') 0.0821680.082168
0.0693871SELECT 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 B.seo='tutorials-guides' ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 120, 400.0693870.069387