Hello everyone, I am Stefan, starting today to bring you a detailed Hadoop learning tutorial, you can follow my tutorial step by step into the development of cloud computing, OK, nonsense, we started the first: Hadoop environment.
The beginning of everything is difficult, this is not a blow. Many people in the initial environment to build up the problem, and everyone's platform and there are differences, it
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
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No downtime is required for adding or deleting machines in the hadoop cluster, and the entire service is not interrupted.
Before this operation, the hadoop cluster is as follows:
HDFS machines are as follows:
The MR machine is as follows:
Add Machine
On the master machine of the cluster, modify the $ hadoop_home/CONF/slaves file and add t
The recently read material always mentions Hadoop 0.20, 0.23, and so on, causing individuals to be quite surprised by the version of Hadoop: 1.2.1 is still behind the 0.23, you are kidding me. Curiosity, a search, found a document, the following are from the document, here to make a backup.Excerpted from Dylan. Advanced applications for Hadoop Big Data Solutions-
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
Tags: GOOGL complete extension img Apach BAE talk RDD baseReprint to Big Data Talk (BigdataTina2016) Using the word SQL engine is a bit arbitrary. For example, Hive is not an engine, its framework uses MapReduce, TeZ, or spark engines to execute queries , and it does not run SQL, but HIVEQL, a SQL-like language, very close to SQL. "Sql-in-hadoop" also does not apply, although hive and Impala use Hadoop pr
Deploy Hadoop cluster service in CentOSGuideHadoop is a Distributed System infrastructure developed by the Apache Foundation. Hadoop implements a Distributed File System (HDFS. HDFS features high fault tolerance and is designed to be deployed on low-cost hardware. It also provides high throughput to access application data, suitable for applications with large datasets. HDFS relaxed the requirements of POSI
For detailed steps, download the attachment: Install hadoop on Windows. The following are the main chapters:
1. Introduction
This example describes how to install/start hadoop in windows. In this example, the following environment passes the test:★Operating System: Windows 7 Enterprise Edition (English version)★Hadoop: 0.20.2★Java JDK: 1.6.0.10★Eclipse: Helios★
Prepare the EnvironmentDownload Htrace-core-3.0.4.jar file FirstWebsite Link:http://mvnrepository.com/artifact/org.htrace/htrace-core/3.0.4Copy to the Share/hadoop/common/lib directory in HadoopAvoid errors where you cannot find a file.Download Hadoop2x-eclipse-pluginWebsite address:Https://github.com/winghc/hadoop2x-eclipse-pluginAfter decompression, upload to the server on HadoopIn/home/hadoop/hadoop2x-ec
Generally, one machine in the cluster is specified as namenode, and another machine is specified as jobtracker. These machines areMasters. The remaining Machines serve as datanodeAlsoAs tasktracker. These machines areSlaves
Official Address :(Http://hadoop.apache.org/common/docs/r0.19.2/cn/cluster_setup.html) 1 prerequisites
Make sure that all required software is installed on each node of your cluster: Sun-JDK, ssh, hadoop
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