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Data import HBase Three most commonly used methods and practice analysis

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

MongoDB User Rights Management explanation

MongoDB in the latest version of the 2.4 User Rights Management made a new adjustment, the permissions are refined, enhanced security, more and more like the permissions of MySQL management. 2.4 Before the version of User Management 1, the creation of a database management user 1.1, access to the WEIW database: >use weiw; 1.2, add users (Read and write permissions, Readonly-->false): >db.adduser ("java", "Ja ...)

Source Cloud Computing Technology Series (vii) Cloudera (Hadoop 0.20)

Virtual set of CentOS 5.3 os. Download Jdk-6u16-linux-i586-rpm.bin [root@hadoop ~]# chmod +x jdk-6u16-linux-i586-rpm.bin [Root@hadoop ~]#./ Jdk-6u16-linux-i586-rpm.bin [root@hadoop ~]# java-version java ver ...

Open source Cloud Computing Technology Series (vi) hypertable (Hadoop HDFs)

Select VirtualBox to establish Ubuntu server 904 as the base environment for the virtual machine. hadoop@hadoop:~$ sudo apt-get install g++ cmake libboost-dev liblog4cpp5-dev git-core cronolog Libgoogle-perftools-dev li Bevent-dev Zlib1g-dev LIBEXPAT1-...

EDTFTPJ V2.2.0 Publish FTP functionality embedded in the application

EDTFTPJ is an FTP client package that can be embedded in an application to provide FTP functionality. It provides methods such as put (), get (), ChDir (), dir () and PWD () to complete the function of FTP. There is a ftpclient class in EDTFTPJ that enables FTP uploads. Several functions used are described as follows: 1. Constructor &http://www.aliyun.com/zixun/aggregation/37954 ....

Hadoop Series Six: Data Collection and Analysis System

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

Hadoop basic tutorial distributed environment to build

Earlier, we were already running Hadoop on a single machine, but we know that Hadoop supports distributed, and its advantage is that it is distributed, so let's take a look at the environment. Here we use a strategy to simulate the environment. We use three Ubuntu machines, one for the master and the other two for the slaver. At the same time, this host, we use the first chapter to build a good environment. We use the steps similar to the first chapter to operate: 1, the operating environment to take ...

Open source Cloud Computing Technology Series (v) (Rise of the Black Horse Sector/sphere actual combat article)

In the heyday of Java Hadoop, open source cloud computing has a black-sector/sphere based on C + +, which challenges Hadoop in terms of performance, open Cloud Consortium (OCC) opened the Cloud Computing Association Cloud testbed Open Cloud experimental bed software test, sector is about twice as fast as Hadoop. This article first on this black horse to do a combat exercise ...

Production Hadoop Large Cluster Fully Distributed Mode Installation

Hadoop Learning Notes - Production Environment Hadoop Large Cluster Configuration Installation Installation Environment Operating Platform: vmware2 Operating System: Oracle Enterprise Linux 5.6 Software Version: hadoop-0.22.0, jdk-6u18 Cluster Architecture: 3+ node, master node (hotel01) slave node (hotel02, hotel03 ...) host name ip ...

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