Excerpt from: http://www.powerxing.com/install-hadoop-cluster/This tutorial describes how to configure a Hadoop cluster, and the default reader has mastered the single-machine pseudo-distributed configuration of Hadoop, otherwise check out the Hadoop installation
2017/6/21 Update after installation, create the logs folder under the/usr/local/hadoop/hadoop-2.7.3 path and change the permissions to 777
9-26 Important updates: All the commands in this article are from the real machine copy, may be in the process of pasting copy of the unknown error, so please manually enter the command, thank you.
Recently listened to a big data
Design essentials
IBM to build new storage architecture design on Hadoop
The HDFs of Hadoop
Four, Hadoop command and use guide
Database access in Hadoop
Hadoop in Practice
Distributed parallel Programming with Hadoop
Distribute
Install Hadoop 2.2.0 on Ubuntu Linux 13.04 (Single-node Cluster)This tutorial explains what to install Hadoop 2.2.0/2.3.0/2.4.0/2.4.1 on Ubuntu 13.04/13.10/14.04 (Single-node Cluster) . This is setup does not require a additional user for Hadoop. All files related to Hadoop
Cloudera, compilation: importnew-Royce Wong
Hadoop starts from here! Join me in learning the basic knowledge of using hadoop. The following describes how to use hadoop to analyze data with hadoop tutorial!
This topic describes the
processing of batch and interactive data. TEZ is being adopted by other frameworks in Hive, Pig, and Hadoop ecosystems, and can also be used as the underlying execution engine with other commercial software, such as ETL tools, to replace Hadoop MapReduce. ZooKeeper: A high-performance distributed application Coordination Service. (The contents of the ZooKeep
-distributed mode on a single node, where each Hadoop daemon runs as a standalone Java process.ConfigurationUse the following:Etc/hadoop/core-site.xml:123456Etc/hadoop/hdfs-site.xml:Interested can continue to see the next chapter
Many people know that I have big data training materials, all naïve thought I hav
Hadoop instance video tutorial-in-depth development of hadoopWhat is hadoop, why learning hadoop?Hadoop is a distributed system infrastructure developed by the Apache Foundation. You can develop distributed programs without understanding the details of the distributed underl
good look at each of these choices.
Apache Hadoop
The current version of the Apache Hadoop project (version 2.0) contains the following modules:
Hadoop Universal module: A common toolset that supports other Hadoop modules.
Hadoop Distributed File System (HDFS): A Distri
Analysis of the Reason Why Hadoop is not suitable for processing Real-time Data1. Overview
Hadoop has been recognized as the undisputed king in the big data analysis field. It focuses on batch processing. This model is sufficient for many cases (for example, creating an index for a webpage), but there are other use models that require real-time information from h
same name.) )Let the user gain administrator privileges:[Email protected]:~# sudo vim/etc/sudoersModify the file as follows:# User Privilege SpecificationRoot all= (All) allHadoop all= (All) allSave to exit, the Hadoop user has root privileges.3. Install JDK (use Java-version to view JDK version after installation)Downloaded the Java installation package and installed it according to the installation tutorial
Alex's Hadoop cainiao Tutorial: tutorial 10th Hive getting started, hadoophiveInstall Hive
Compared to many tutorials, I first introduced concepts. I like to install them first, and then use examples to introduce them. Install Hive first.
First confirm whether the corresponding yum source has been installed, if not as written in this
Query data
hive> select * from p_student;OK1tammy2014-09-09CN2eric2014-09-09CN3paul2014-09-10CN4jolly2014-09-10CN44ivan2014-09-10EN66billy2014-09-10ENTime taken: 0.228 seconds, Fetched: 6 row(s)
hive> select * from p_student where daytime='2014-09-10' and country='EN';OK44ivan2014-09-10EN66billy2014-09-10ENTime taken: 0.224 seconds, Fetched: 2 row(s)
The bucket table throws data to different buckets Based
Hadoop-based custom input data
By default, KeyValueTextInputFormat uses spaces to intercept data and distinguish key and value values. Here we use custom methods to intercept data by commas.1. Prepare file data:
2. Customize the MyFileInputFormat class:
import java.io.IO
Alex's Hadoop cainiao Tutorial: 7th Sqoop2 export tutorial, hadoopsqoop2
Take over the previous lesson. Now let's talk about the export tutorial.Check connection
First, check whether there are available connection connections. If not, create a connection based on the method of the previous lesson.
sqoop:000> show connector --all1 connector(s) to show: Connector
The construction process of the statistical analysis system, which is completely independently completed, is mainly used in the Php+hadoop+hive+thrift+mysql realization
Installation
Hadoop Installation: http://www.powerxing.com/install-hadoop/Hadoop cluster configuration: http://www.powerxing.com/install-
Take the last lesson, now talk about the export tutorialCheck the connectionLet's see if there are any connection connections available, and if not, create one based on the method of the previous lessonSqoop:000> Show Connector--ALL1 connector (s) to show:connector with ID 1: name:generic-jdbc-connector Class:org.apache.sqoop.connector.jdbc.GenericJdbcConnector version:1.99.3-cdh5.0.1 supported job types: [ EXPORT, IMPORT] Connection Form 1:There's a lot of output back there, and I'm not
-cdh5.0.1 Supported job types: [EXPORT, IMPORT] Connection form 1:
I will not post a long output later. If so, I will continue to do so.
Prepare the data mysql Data Table prepare to create a table "employee" in mysql
CREATE TABLE `employee` ( `id` int(11) NOT NULL, `name` varchar(20) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8;
multiple data processing. In addition, Spark is usually used in the following scenarios: Real-Time marketing activities, online product recommendations, network security analysis, and machine diary monitoring.
Disaster recovery
The disaster recovery methods for both are quite different, but both are quite good. Because Hadoop writes the processed data to the dis
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