1. Submit Job 2. 建構特定 AM 3. 向 RM 註冊 AM 4. 送 Request 給 RM 5. 配置啟動 Container 6. AM/Container 溝通 7. Client/AM 溝通 8. 回收 AM Hadoop 2.x 架構 - MapReduce (MRv2) ResourceManager 與 NodeManager - 負責協調 Resource 調度 Serialization System (2010-05 成為 Top-Level Project) Mahout：Scalable Library for Machine Learning HBase：Distributed Data Storage (2010-05 成為 Top-Level Project) Pig：High Level Language for Data Analysis Hadoop and Linux kernel, and the corresponding similarity between the big stack of Hadoop ( Hive, Hbase, Pig, Avro, etc.) and the fully operational operating systems with its distributions (RedHat, Ubuntu

7 改寫 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 34.1.8 Updating Client and Service . . . . . . . . . . . . . . . . . . . . . . . 196 34.2 Working With AIDL Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 XIV 並行：下午 326 63 非同步的 Rust 327 63.1 async/await . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 63.2 Futures . . 64.2 選取 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 65 async/await 的問題 335 65.1 阻塞執行器 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int"CHAPTER 12. METHODS 160 12 package called Sockets. Let's first create a simple server: julia> using Sockets julia> errormonitor(@async begin server = listen(2000) while true sock = accept(server) println("Hello World\n") end end)

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int"CHAPTER 12. METHODS 160 12 package called Sockets. Let's first create a simple server: julia> using Sockets julia> errormonitor(@async begin server = listen(2000) while true sock = accept(server) println("Hello World\n") end end)

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with package called Sockets. Let's first create a simple server: julia> using Sockets julia> errormonitor(@async begin server = listen(2000) while true sock = accept(server) println("Hello World\n") end end)

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with package called Sockets. Let's first create a simple server: julia> using Sockets julia> errormonitor(@async begin server = listen(2000) while true sock = accept(server) println("Hello World\n") end end)

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with package called Sockets. Let's first create a simple server: julia> using Sockets julia> errormonitor(@async begin server = listen(2000) while true sock = accept(server) println("Hello World\n") end end)

other operations that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" julia> g(1) "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with and has to do with the accept and connect methods. The accept method retrieves a connection to the client that is connecting on the server we just created, while the connect function connects to a server

and has to do with the accept and connect methods. The accept method retrieves a connection to the client that is connecting on the server we just created, while the connect function connects to a server request was now available), accepted the connection, printed the message and waited for the next client. Reading and writing works in the same way. To see this, consider the following simple echo server: ractRemoteRef) if r.where > 0 # Check if the finalizer is already run if islocked(client_refs) || !trylock(client_refs) # delay finalizer for later if we aren't free to acquire the lock finalizer(finalize_ref

and has to do with the accept and connect methods. The accept method retrieves a connection to the client that is connecting on the server we just created, while the connect function connects to a server request was now available), accepted the connection, printed the message and waited for the next client. Reading and writing works in the same way. To see this, consider the following simple echo server: ractRemoteRef) if r.where > 0 # Check if the finalizer is already run if islocked(client_refs) || !trylock(client_refs) # delay finalizer for later if we aren't free to acquire the lock finalizer(finalize_ref