MicroStrategy doesn ' t support Versioning. BTW, There are two types of versioning in MicroStrategy. Source control (what I ' m taking about over here) and slowly changing Dimension (SCD). Lots of clients have put requests to microstrategy to have this feature the version control for schema object or at least a Ttributes. In short the answer for this question are
Install times wrong: Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (site) on project Hadoop-hdfs:an Ant B Uildexception has occured:input file/usr/local/hadoop-2.6.0-stable/hadoop-2.6.0-src/hadoop-hdfs-project/ Hadoop-hdfs/target/findbugsxml.xml
Hadoop Foundation----Hadoop Combat (vi)-----HADOOP management Tools---Cloudera Manager---CDH introduction
We have already learned about CDH in the last article, we will install CDH5.8 for the following study. CDH5.8 is now a relatively new version of Hadoop with more than hadoop2.0, and it already contains a number 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
Chapter 2 mapreduce IntroductionAn ideal part size is usually the size of an HDFS block. The execution node of the map task and the storage node of the input data are the same node, and the hadoop performance is optimal (Data Locality optimization, avoid data transmission over the network ).
Mapreduce Process summary: reads a row of data from a file, map function processing, Return key-value pairs; the system sorts the map results. If there are multi
1. Hadoop Java APIThe main programming language for Hadoop is Java, so the Java API is the most basic external programming interface.2. Hadoop streaming1. OverviewIt is a toolkit designed to facilitate the writing of MapReduce programs for non-Java users.Hadoop streaming is a programming tool provided by Hadoop that al
1 Creating Hadoop user groups and Hadoop users STEP1: Create a Hadoop user group:~$ sudo addgroup Hadoop STEP2: Create a Hadoop User:~$ sudo adduser-ingroup Hadoop hadoopEnter the password when prompted, this is the new
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
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
Opening: Hadoop is a powerful parallel software development framework that allows tasks to be processed in parallel on a distributed cluster to improve execution efficiency. However, it also has some shortcomings, such as coding, debugging Hadoop program is difficult, such shortcomings directly lead to the entry threshold for developers, the development is difficult. As a result, HADOP developers have devel
[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
This article details how to build a Hadoop project and run it through Mvn+eclipse in the Windows development environment
Required environment
Windows7 operating System
eclipse-4.4.2
mvn-3.0.3 and build the project schema with MVN (see http://blog.csdn.net/tang9140/article/details/39157439)
hadoop-2.5.2 (directly on the Hadoop website htt
The previous several are mainly Sparkrdd related foundation, also used Textfile to operate the document of this machine. In practical applications, there are few opportunities to manipulate common documents, and more often than not, to manipulate Kafka streams and files on Hadoop.
Let's build a Hadoop environment on this machine. 1 Installation configuration Hadoop
in ~/.ssh/: Id_rsa and id_rsa.pub; These two pairs appear, similar to keys and locks.Append the id_rsa.pub to the authorization key (there is no Authorized_keys file at this moment)$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys(3) Verify that SSH is installed successfullyEnter SSH localhost. If the display of a native login succeeds, the installation is successful.3. Close the firewall $sudo UFW disableNote: This step is very important, if you do not close, there will be no problem finding D
As you know, Namenode has a single point of failure in the Hadoop system, which has been a weakness for high-availability Hadoop. This article discusses several solution that exist to solve this problem. 1. Secondary NameNode principle: secondary NN periodically reads the editlog from the NN, merging with the image that it stores to form a new metadata image advantage: The earlier version of
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
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
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
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