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We provide cheapest rate for top up game PUBG Mobile & Mobile Legends.

PUBGTopUpGameMobileLegendsGamingGames

I have been developing games, apps, software, websites and music for over 5 years. Starting as a hobby I now work as an IT freelancer and can focus on your job. Overall I have over half a million total global software downloads. Many top reviews and features on radio station and international magazines. Still learning more in this field and looking for that big break or to work with someone to really promote my products and increase sales. It is very competitive market and so my selling point is the experience, the stats and the level of service. I have never let customers down and always provide high level of service. I have produced music sold on iTunes and performed live in US by unsigend artists. All services are provided on an as is basis and we will not accept any responsibility for any loss arising as a result of using them. If you do not agree to this please do not buy.

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Possible Duplicate queries found!
MatchCountSQLScript
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/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 '%games%') ORDER BY total_recommendations desc LIMIT 0,401SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%games%') ORDER BY total_recommendations desc LIMIT 0,40

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

SELECT * FROM posts WHERE USERID=3295881SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=329588

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

SELECT * FROM posts WHERE USERID=1389071SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=138907

/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
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Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.1753281SELECT 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 '%Dinosaur%' OR A.skills LIKE '%Dinosaur%') ORDER BY A.lastgigedit desc LIMIT 0,400.1753280.175328
0.1712941SELECT 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 '%Www%' OR A.skills LIKE '%Www%') ORDER BY A.lastgigedit desc LIMIT 0,400.1712940.171294
0.1332261SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%games%') ORDER BY total_recommendations desc LIMIT 0,400.1332260.133226
0.1295681SELECT 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 '%Dinosaur%' OR A.skills LIKE '%Dinosaur%')0.1295680.129568
0.1178951SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%WooCommerce%') ORDER BY total_recommendations desc LIMIT 0,400.1178950.117895