Hadoop 簡史 5 / 74 The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed 74 我們對 Hadoop 的期許： Batch Job Interactive Query Real-Time Processing Graph Processing Iterative Modeling 人心不足蛇吞象 Hadoop 的體質 (Batch Processing) 問題： 每次就是一個 Batch Job，一個接著一個 每個 Batch Job 做的事就是讀入所有資料、處理、寫出結果 (HDFS)，但是提供多種玩法 (YARN)！ 希望把 Hadoop 從 Batch 應用變成 Data Operating System： 透過 MapReduce 進行 Batch Processing 透過 Hive 與 Tez 進行 Interactive SQL Query ... 15 / 74 MapReduce 改造前 Hadoop 原來的架構，MapReduce 是一切應用的基礎

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 25 Multi-processing and Distributed Computing 310 25.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 78.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1363 78.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 25 Multi-processing and Distributed Computing 310 25.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 78.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1363 78.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 26 Multi-processing and Distributed Computing 329 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1595 80.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 26 Multi-processing and Distributed Computing 329 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1595 80.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 26 Multi-processing and Distributed Computing 329 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1595 80.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 26 Multi-processing and Distributed Computing 332 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1657 82.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1658 82.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 26 Multi-processing and Distributed Computing 333 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1655 82.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1656 82.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 26 Multi-processing and Distributed Computing 332 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1654 82.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1655 82.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow

of Finalizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 26 Multi-processing and Distributed Computing 332 26.1 Code Availability and Loading Packages . . . . . . . . . . event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1654 82.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1655 82.3 Testing element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages vectorization is also often required for performance: if loops are slow