Install EclipseDownload eclipse (click to download) to unzip the installation. I installed it under the/usr/local/software/directory.
Installing the Hadoop plugin on eclipseDownload the Hadoop plugin (click to download) and put the plugin in the Eclipse/plugins directory.
Restart Eclipse, configure Hadoop installation directoryIf installing the plugin succeed
Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish).
Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install
Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish).
Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install
Currently in Hadoop used more than lzo,gzip,snappy,bzip2 these 4 kinds of compression format, the author based on practical experience to introduce the advantages and disadvantages of these 4 compression formats and application scenarios, so that we in practice according to the actual situation to choose different compression format.
1 gzip compression
Advantages: The compression ratio is high, and the compression/decompression speed is relatively fas
to facilitate the MapReduce direct access to the relational database (mysql,oracle). Hadoop offers two classes of Dbinputformat and Dboutputformat. Through the Dbinputformat class, the database table data is read into HDFs, and the result set generated by MapReduce is imported into the database table according to the Dboutputformat class.error when executing mapreduce: java.io.IOException:com.mysql.jdbc.Driver, usually because the program cannot find
First, compile the Hadoop pluginFirst you need to compile the Hadoop plugin: Hadoop-eclipse-plugin-2.6.0.jar Before you can install it. Third-party compilation tutorial: Https://github.com/winghc/hadoop2x-eclipse-pluginIi. placing plugins and restarting eclipsePut the compiled plugin Hadoop-eclipse-plugin-2.6.0.jar int
Hadoop (13), hadoop
1. mahout introduction:
Mahout is a powerful data mining tool and a collection of distributed machine learning algorithms, including the implementation, classification, and clustering of distributed collaborative filtering called Taste. The biggest advantage of Mahout is its hadoop-based implementation, which converts many previous algorithms
Course Outline and Content introduction:About 35 minutes per lesson, no less than 40 lecturesThe first chapter (11 speak)• Distributed and traditional stand-alone mode· Hadoop background and how it works· Analysis of the working principle of MapReduce• Analysis of the second generation Mr--yarn principle· Cloudera Manager 4.1.2 Installation· Cloudera Hadoop 4.1.2 Installation· CM under the cluster managemen
Hadoop FS: Use the widest range of surfaces to manipulate any file system.Hadoop DFS and HDFs DFS: can only operate on HDFs file system-related (including operations with local FS), which is already deprecated, typically using the latter.The following reference is from StackOverflowFollowing is the three commands which appears same but has minute differences
Hadoop fs {args}
Prepare hadoop streaming
Hadoop streaming allows you to create and run MAP/reduce jobs with any executable or script as the Mapper and/or the CER Cer.
1. Download hadoop streaming fit for your hadoop version
For hadoop2.4.0, you can visit the following website and download the JAR file:
Http://mvnrepository.com/art
DISTCP Parallel replication
The same version of the Hadoop cluster
Hadoop distcp Hdfs//namenode1/foo Hdfs//namenode2/bar
Different versions of the Hadoop cluster (HDFs version), executed on the writing side
Hadoop distcp Hftp://namenode1:50070/foo Hdfs://namenode2/bar
Archive of
Because HDFs is different from a common file system, Hadoop provides a powerful filesystem API to manipulate HDFs.
The core classes are Fsdatainputstream and Fsdataoutputstream.
Read operation:
We use Fsdatainputstream to read the specified file in HDFs (the first experiment), and we also demonstrate the ability to locate the file location of the class, and then start reading the file from the specified location (the second experiment).
The code i
Hadoop Elephant Safari 010- using Eclipse to view Hadoop source code sinomThis is what I'm using. hadoop-1.1.2.tar.gz , this file can be downloaded at the following address:Official Address: http://archive.apache.org/dist/hadoop/core/hadoop-1.1.2/1. Unzip the
Reprint Please specify source: http://blog.csdn.net/l1028386804/article/details/51538611
The following warning message appears when you configure Hadoop to start:
WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicableThe question is where. Some people say that this is the pre-compiled Hadoop
= 0; i String[] Hosts=blklocations[i].gethosts ();System.out.println ("Block_" +i+ "_location" +hosts[0]);}}} set up three modes, the general default stand-alone mode: Do not use HDFS, nor load no matter what daemon, mainly for development debuggingPseudo-Distribution mode performs Hadoop on a single node cluster, where all daemons are on one machine, adding code debugging capabilities. Agree to check memo
02_note_ Distributed File System HDFS principle and operation, HDFS API programming; 2.x under HDFS new features, high availability, federated, snapshotHDFS Basic Features/home/henry/app/hadoop-2.8.1/tmp/dfs/name/current-on namenodeCat./versionNamespaceid (spatial identification number, similar to cluster identification number)/home/henry/app/hadoop-2.8.1/tmp/dfs/data –on DatanodeLs-lrBLK_1073741844XX (data
Hadoop FS: Use the widest range of surfaces to manipulate any file system.Hadoop DFS and HDFs DFS: can only operate on HDFs file system-related (including operations with local FS), which is already deprecated, typically using the latter.The following reference is from StackOverflowFollowing is the three commands which appears same but has minute differences
Hadoop fs {args}
The debug run in Eclipse and "run on Hadoop" are only run on a single machine by default, because in order to let the program distributed running in the cluster also undergoes the process of uploading the class file, distributing it to each node, etc.A simple "run on Hadoop" just launches the local Hadoop class library to run your program,No job information is vi
Build a Hadoop development environment for Fedora 20
1. configuration information:
Operating System: fedora 20X86
Eclipse version: eclipse-jee-helios-SR2-linux-gtk.tar.gz (preferably use Galileo or Helios, otherwise there may be compatibility issues)
Hadoop version: hadoop-1.1.2.tar.gz
Ant: apache-ant-1.9.3-bin.tar.gz
2. Compile the
First, ready to run the required jar package1) Avro-1.7.4.jar2) Commons-cli-1.2.jar3) Commons-codec-1.4.jar4) Commons-collections-3.2.1.jar5) Commons-compress-1.4.1.jar6) Commons-configuration-1.6.jar7) Commons-io-2.4.jar8) Commons-lang-2.6.jar9) Commons-logging-1.2.jar) Commons-math3-3.1.1.jarOne) Commons-net-3.1.jarCurator-client-2.7.1.jar)Curator-recipes-2.7.1.jar)Gson-2.2.4.jar)Guava-20.0.jar)Hadoop-annotations-2.8.0.jar)
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.