presto hadoop

Install and deploy Apache Hadoop 2.6.0 Note: For this document, refer to the official documentation for the original article. 1. hardware environment There are three machines in total, all of which use the linux system. Java uses jdk1.6.0. The configuration is as follows:Hadoop1.example.com: 172.20.115.1 (NameNode)Hadoop2.example.com: 172.20.1152 (DataNode)Hadoop3.example.com: 172.115.20.3 (DataNode)Hadoop4.example.com: 172.20.115.4Correct resolution

Now that namenode and datanode1 are available, add the node datanode2 first step: Modify the Host Name of the node to be added hadoop @ datanode1 :~ $ Vimetchostnamedatanode2 Step 2: Modify the host file hadoop @ datanode1 :~ $ Vimetchosts192.168.8.4datanode2127.0.0.1localhost127.0 Now that namenode and datanode1 are available, add the node datanode2 first step: Modify the Host Name of the node to be added

(1) First create Java projectSelect File->new->java Project on the Eclipse menu.and is named UploadFile.(2) Add the necessary Hadoop jar packagesRight-click the JRE System Library and select Configure build path under Build path.Then select Add External Jars. Add the jar package and all the jar packages under Lib to your extracted Hadoop source directory.All jar packages in the Lib directory.(3) Join the Up

This article has agreed:Dn:datanodeTt:tasktrackerNn:namenodeSnn:secondry NameNodeJt:jobtrackerThis article describes the communication protocol between the Hadoop nodes and the client.Hadoop communication is based on RPC, a detailed introduction to RPC you can refer to "Hadoop RPC mechanism introduce Avro into the Hadoop RPC mechanism"Communication between nodes

This article will go on to the wordcount example in the previous article to abstract the simplest process and explore how the System Scheduling works in the mapreduce operation process. Scenario 1: Separate data from operations Wordcount is the hadoop helloworld program. It counts the number of times each word appears. The process is as follows: Now I will describe this process in text. 1. The client submits a job and sends mapreduce programs and dat

High-availability Hadoop platform-Hadoop Scheduling for Oozie Workflow1. Overview In the "high-availability Hadoop platform-Oozie Workflow" article, I will share with you how to integrate a single plug-in such as Oozie. Today, we will show you how to use Oozie to create related workflows for running and Hadoop. You mu

Several Hadoop daemon and Hadoop daemon After Hadoop is installed, several processes will appear when jps is used. Master has: Namenode SecondaryNameNode JobTracker Slaves has Tasktracker Datanode 1.NameNode It is the master server in Hadoop, managing the file system namespace and accessing the files stored in the

resourcesMaster-Slave structureMaster node, there can be 2: ResourceManagerFrom the node, there are a number of: NodeManagerResourceManager is responsible for:Allocation and scheduling of cluster resourcesFor applications such as MapReduce, Storm, and Spark, the Applicationmaster interface must be implemented to be managed by RMNodeManager is responsible for:Management of single node resourcesVII: The architecture of MapReduceBatch computing model with disk IO dependentMaster-Slave structureMas

Big data: Massive dataStructured data: Data that can be stored in a two-dimensional tableunstructured data: Data cannot be represented using two-dimensional logic of the data. such as word,ppt, picture Semi-structured data: a self-describing, structured and unstructured data that stores the structure with the data itself: XML, JSON, HTMLGoole paper: mapreduce:simplified Date processing on Large Clusters Map: Small data that maps big data to multiple nodes that are segmented

First on the correct run display:Error 1: The variable is intwritable and is receiving longwritable, such as:Reason, write more parameters reporter, such as:Error 2: The array is out of bounds, such as:Cause: The Combine class is set up, such as:Error 3:nullpointerexception exception, such as:Cause: The static variable is null and can be assigned, such as:Error 4: Entering map, but unable to enter reduce, and direct map data output, and no error promptCause: The new and older version of

1 access to Apache Hadoop websitehttp://hadoop.apache.org/2.2. Click image to downloadWe download the 2.6.0 third in the stable version of stableLinux Download , here is an error, we download should be the bottom of the second, which I did not pay attention to download the above 17m .3. Install a Linux in the virtual machineFor details see other4. Installing the Hadoop environment in Linux1. Installing the

Run Hadoop WordCount. jar in Linux. Run Hadoop WordCount in Linux Enter the shortcut key of Ubuntu terminal: ctrl + Alt + t Hadoop launch command: start-all.sh The normal execution results are as follows: Hadoop @ HADOOP :~ $ Start-all.sh Warning: $ HADOOP_HOME is deprecate

The compilation process is very long, the mistakes are endless, need patience and patience!! 1. Preparation of the environment and software Operating system: Centos6.4 64-bit JDK:JDK-7U80-LINUX-X64.RPM, do not use 1.8 Maven:apache-maven-3.3.3-bin.tar.gz protobuf:protobuf-2.5.0.tar.gz Note: Google's products, preferably in advance Baidu prepared this document Hadoop src:hadoop-2.5

Hadoop exception and handling Summary-01 (pony-original), hadoop-01 Test environment: Local: MyEclipse Cluster: Vmware 11 + 6 Centos 6.5 Hadoop version: 2.4.0 (configured as automatic HA) Test Background: After four normal tests of the MapReduce Program (hereinafter referred to as MapReduce), a new MR program is executed, and the console information of MyEclipse

Hadoop learning 2: hadoop LearningAfter building a pseudo-distributed system:Introduction to pseudo distributed installation: http://www.powerxing.com/install-hadoop/ Exercise 1 compile a Java program to implement the followingFunction: 1. In HDFSUpload files 2. From HDFSDownload filesTo local 3.Show file directory 4.Move files 5.Create folder 6.Remove folder 　　　

everything is OK on the Namenode node, and there is no prompt for this information, but the following message appears on Datanode:15/01/14 16:42:09 WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicableafter checking the original is Datanode sub-node /home/hadoop/hadoop2.2/lib directory does not have native folder, and Namenode abov

Hadoop ++ is a non-invasive Optimization of hadoop map reduce. It improves query and connection performance by customizing functions such as split in hadoop framework. The project is hosted by Professor Jens dittrich at the University of Saarland, Germany. The project homepage is http://infosys.uni-saarland.de/hadoop?#

Original article: http://hadoop.apache.org/common/docs/r0.23.0/hadoop-yarn/hadoop-yarn-site/CapacityScheduler.html This document describes capacityscheduler, a pluggable hadoop scheduler that allows multiple users to securely share a large cluster, their applications can obtain the required resources within the capacity limit. Overview Capacityscheduler is design

, file random modification a file can have only one writer, only support append.Data form of 3.HDFSThe file is cut into a fixed-size block, the default block size is 64MB, the size of the block can be configured, if the file size is less than 64MB, it is stored separately into a block. A file storage method is divided into blocks by size, stored on different nodes, with three replicas per block by default.HDFs Data Write Process:　　HDFs Data Read process:　　4.MapReduce: Google's MapReduce open sou