Directory structure
Hadoop cluster (CDH4) practice (0) PrefaceHadoop cluster (CDH4) Practice (1) Hadoop (HDFS) buildHadoop cluster (CDH4) Practice (2) Hbasezookeeper buildHadoop cluster (CDH4) Practice (3) Hive BuildHadoop cluster (CHD4) Practice (4) Oozie build
Hadoop cluster (CDH4) practice (0) Preface
During my time as a beginner of
Not much to say, directly on the dry goods!GuideInstall Hadoop under winEveryone, do not underestimate win under the installation of Big data components and use played Dubbo and disconf friends, all know that in win under the installation of zookeeper is often the Disconf learning series of the entire network the most detailed latest stable disconf deployment (based on Windows7 /8/10) (detailed) Disconf Learning series of the full network of the lates
Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai
Wang Jialin Lecture 4HadoopGraphic and text training course: Build a true practiceHadoopDistributed Cluster EnvironmentHadoopThe specific solution steps are as follows:
Step 1: QueryHadoopTo see the cause of the error;
Step 2: Stop the cluster;
Step 3: Solve the Problem Based on the reasons indicated in the log. We need to clear th
[Hadoop] how to install Hadoop and install hadoop
Hadoop is a distributed system infrastructure that allows users to develop distributed programs without understanding the details of the distributed underlying layer.
Important core of Hadoop: HDFS and MapReduce. HDFS is res
This document describes how to operate a hadoop file system through experiments.
Complete release directory of "cloud computing distributed Big Data hadoop hands-on"
Cloud computing distributed Big Data practical technology hadoop exchange group:312494188Cloud computing practices will be released in the group every day. welcome to join us!
First, let's loo
platform
67. Hadoop-based large distributed data Warehouse fundamentals and application practices in the industry68. Spark-based real-time Data Warehouse cluster basics, and application practices in the industryIntroduction to 69.Hive Big Data Warehouse and application introductionAnalysis of platform architecture and core technology of 70.Hive Data Warehouse cluster71.Hive Server working principle and application skillsinstallation, deployment
This article mainly analyzes important hadoop configuration files.
Wang Jialin's complete release directory of "cloud computing distributed Big Data hadoop hands-on path"
Cloud computing distributed Big Data practical technology hadoop exchange group: 312494188 Cloud computing practices will be released in the group every day. welcome to join us!
Wh
Pre-language: If crossing is a comparison like the use of off-the-shelf software, it is recommended to use the Quickhadoop, this use of the official documents can be compared to the fool-style, here do not introduce. This article is focused on deploying distributed Hadoop for yourself.1. Modify the machine name[[email protected] root]# vi/etc/sysconfig/networkhostname=*** a column to the appropriate name, the author two machines using HOSTNAME=HADOOP0
Chapter 1 Meet HadoopData is large, the transfer speed is not improved much. it's a long time to read all data from one single disk-writing is even more slow. the obvious way to reduce the time is read from multiple disk once.The first problem to solve is hardware failure. The second problem is that most analysis task need to be able to combine the data in different hardware.
Chapter 3 The Hadoop Distributed FilesystemFilesystem that manage storage h
We all know big data about hadoop, but various technologies will enter our field of view: spark, storm, and Impala, which cannot be reflected by us. In order to better construct Big Data projects, let's sort out the appropriate technologies for technicians, project managers, and architects to understand the relationship between various big data technologies and select the appropriate language.We can read this article with the following questions:1. Wh
hbase-0.90.6+84.29
Hbase-0.92.1+37
Apache Hive
Sql-like Language and metadata repository
hive-0.7.1+42.43
hive-0.8.1+59
Apache Mahout
Library of machine learning algorithms for Hadoop
mahout-0.5+9.5
Mahout-0.6+15
Apache Oozie
Workflow engine to co
Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster
Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster
1. Add host ing (the same as namenode ing ):
Add the last line
[Root @ localhost ~] # Su-root
[Root @ localhost ~] # Vi/etc/hosts127.0.0.1 localhost. localdomain localh
-projects, the remainder being Hadoop Common
Hdfs:hadoop distributed FileSystem (Distributed File System)-hdfs (Hadoop Distributed File systems)
MapReduce: Parallel computing framework, using the Org.apache.hadoop.mapred legacy interface before 0.20, and the 0.20 release to introduce the new API for Org.apache.hadoop.mapreduce
Apache HBase: Distributed nosql Column database, similar to Google co
a relational database.
Apache Zookeeper: Is a distributed, open source Coordination service designed for distribution applications, which is mainly used to solve some data management problems frequently encountered in distributed applications, simplify the coordination and management of distributed applications, and provide high-performance distributed services.
Apache Mahout: A distributed framework for machine learning and data mining based o
Hadoop cannot be started properly (1)
Failed to start after executing $ bin/hadoop start-all.sh.
Exception 1
Exception in thread "Main" Java. Lang. illegalargumentexception: Invalid URI for namenode address (check fs. defaultfs): file: // has no authority.
Localhost: At org. Apache. hadoop. HDFS. server. namenode. namenode. getaddress (namenode. Java: 214)
Localh
Introduction HDFs is not good at storing small files, because each file at least one block, each block of metadata will occupy memory in the Namenode node, if there are such a large number of small files, they will eat the Namenode node's large amount of memory. Hadoop archives can effectively handle these issues, he can archive multiple files into a file, archived into a file can also be transparent access to each file, and can be used as a mapreduce
start Hadoop
Get in Hadoop-1.2.1/bin .
First format file system $./hadoop Namenode-format
run $./start-all.sh start Hadoop
To view a process with the JPS command
View cluster status $hadoop dfsadmin-report
you can run the./hadoop
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