hadoop basics pdf

Computing ClustersHigh-performance computing clusters, referred to as HPC clusters. Such clusters are dedicated to providing powerful computing power that a single computer cannot provide, including numerical computation and data processing, and tends to pursue comprehensive performance. HPG is similar to supercomputing, but different, and computing speed is the first goal of Supercomputing pursuit. The fastest speed, maximum storage, the largest volume, and the most expensive price represent t

directories under the HDFs root directory: Hadoop FS-LSR/(2) Creating a folder in HDFs:hadoop fs-mkdir folder nameIn the root directory, create a folder called Di:(3) Uploading files to HDFs:Hadoop fs-put Local source path destination storage pathUpload a log file from the local system to the Di folder: Hadoop fs-put Test.log/di *ps: The files that we upload through the

Part 1: hadoop RPC Basics RPC, remote program call, an application instance of the C/S model in distributed computing. Like other RPC frameworks, hadoop is divided into four parts: Serialization layer: supports multiple frameworks for serialization and deserialization. Function call layer: implemented using Java reflection and dynamic proxy Network Transmiss

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Introduction to spark Basics, cluster build and Spark ShellThe main use of spark-based PPT, coupled with practical hands-on to enhance the concept of understanding and practice.Spark Installation DeploymentThe theory is almost there, and then the actual hands-on experiment:Exercise 1 using Spark Shell (native mode) to complete wordcountSpark-shell to Spark-shell native modeFirst step: Import data by file modescala> val rdd1 = Sc.textfile ("File:///tmp

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overload the protected function, such as issplitable (), which is used to determine whether you can slice a block and return it by default to true, indicating that as long as the data block is larger than the HDFS block size, Then it will be sliced.But sometimes you don't want to slice a file, such as when some binary sequence files cannot be sliced, you need to overload the function to return FALSE. when using Fileinputformat, your primary focus should be on the decomposition of data blocks

First, the Linux basic Environment1. Linux common version and VMware virtual machine install Linux system2. Virtual Machine Network configuration (IP address, host name, firewall)3. File Basic command operation4. Four Remote connection tools useIi. Linux Basic commands1. User and group creation, deletion, change, and authorization2. File/directory creation, deletion, movement, and copy renaming3. Editor Vi/vim basic use4. File Common operation (content view, append, etc.)Third, Linux system mana