Lightning Hedis
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Lightning Hedis Kewang
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Transcript of Lightning Hedis
Lightning Hedis
Kewang
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about me
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about me
● Java / Android● Node.js / AngularJS● Hadoop / HBase● AWS / Heroku / Firebase● @Mitake
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I'm not ......, too
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I'm not ......, too
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霸氣！
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霸氣！宅氣！
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上一次報Lightning Talk
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那些年，我們一起用高橋流的時代
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OSDC.tw 2007
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讓我們謝謝 OSDC.tw
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只能拍三秒鐘啊 ~~~
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進入正題
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Redis, another step on the roadIntroductionto Redis 3.0, and it’s features and improvements. What’s difference between Redis / Memcached / Aerospike ? The strong sides of Redis, and away from the weak sides.
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Redis 應用情境
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Scenario - Redis
Application server
Redis Database
Client
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Scenario - Redis
Application server
Redis Database
Client (1)
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Scenario - Redis
Application server
Redis Database
(2)
Client (1)
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Scenario - Redis
Application server
Redis Database
(2)
Client (1)(3
)
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Scenario - Redis
Application server
Redis Database
(4)(2)
Client (1)(3
)
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Scenario - Redis
Application server
Redis Database
(4)(5)(2)
Client (1)(3
)
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Scenario - Redis
Application server
Redis Database
(6) (4)(5)(2)
Client (1)(3
)
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Scenario - Redis
Application server
Redis Database
(6) (4)(5)(2)
Client (7)(1)
(3)
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Hedis 應用情境
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Scenario - Hedis
Application server
Hedis Database
Client
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Scenario - Hedis
Application server
Hedis Database
Client(1)
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Scenario - Hedis
Application server
Hedis Database
Client
(2)
(1)
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Scenario - Hedis
Application server
Hedis Database
Client
(2)
(3)
(1)
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Scenario - Hedis
Application server
Hedis Database
Client
(2)
(3)
(4)
(1)
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Scenario - Hedis
Application server
Hedis Database
Client
(2)
(3)
(4)
(5)
(1)
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Scenario - Hedis
Application server
Hedis Database
Client
(2)
(3)
(4)
(5)
(1)
(6)
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How to use
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Configuration
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Run
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所以
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HadoopCon 2015Hedis (aka Hyper Redis) 是改良自 Redis 的 NoSQL 資料庫，一般使用 Redis 這類 In-memory database 的情境大都在於讀取熱門資料 ( 例：熱門文章、 token 認證 ... 等 ) 。以熱門文章為例， client 要跟 server 讀取熱門文章時， server 會先去 Redis 問是否有熱門文章存在這裡，如果有的話就直接讀取並回傳給 client ；但如果沒有的話 server 就要改去 source database 讀取原資料，一方面把資料寫回 Redis ，另一方面回傳給 client 。而 Hedis 則是改良了上述的情境。一樣以熱門文章為例， client 要跟 server 讀取熱門文章時， server 會去 Hedis 問是否有熱門文章存在這裡，如果沒有的話 Hedis 就會直接去 source database 讀取原資料，並把資料寫回 Hedis 之後再回傳給 client ，減少不必要的傳輸路徑。這場 Talk 就是介紹 Hedis 如何達到上面的情境，並且教導大家如何使用現有的 Redis client 直接操作 Hedis ，讓已經無法再透過 In-memory database 加速的應用，再加速存取一個等級。
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可想而知
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Hedis everywhere
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Hedis everywhere
● MySQL conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015● Cassandra conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015● Cassandra conf 2015● Oracle conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015● Cassandra conf 2015● Oracle conf 2015● MSSQL conf 2015
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015● Cassandra conf 2015● Oracle conf 2015● MSSQL conf 2015● ......
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Hedis everywhere
● MySQL conf 2015● PostgreSQL conf 2015● MongoDB conf 2015● Cassandra conf 2015● Oracle conf 2015● MSSQL conf 2015● ......
請 蔡英文 放過 Hedis
by 超後悔投柯 P 的kewang@ 新莊
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TODO
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TODO
● Memory leak ( 慣 C 真的好難寫 Orz )● 支援多資料庫● 支援多版本 Redis● 支援模組 git 化● 單點故障 ( 感謝 Triton Ho 指導 )
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最後
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We need you
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No, in fact
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I need you orz
