free hadoop cluster

parameter fs. checkpoint. dir; Copy the file in namesecondary to fs. checkpoint. dir; ./Hadoop namenode-importCheckpoint; Start NameNode and add-importCheckpoint. (This sentence is plagiarized with hadoop-0.20.2/hadoop-0.20.2/docs/cn/hdfs_user_guide.html # Secondary + NameNode, look at the documentation, There are instructions) 3.

 Hadoop version: 2.5.0 When you configure the Hadoop cluster, on master, when you start the./start-all.sh under Directory/usr/hadoop/sbin/, on the master host [Hadoop@master sbin]$./start-all.shThis script is deprecated. Instead Use start-dfs.sh and start-yarn.shStarting

Setting up the Environment: jdk1.6,ssh Password-free communication System: CentOS 6.3 Cluster configuration: Namenode and ResourceManager on a single server, three data nodes Build User: YARN Hadoop2.2 Download Address: http://www.apache.org/dyn/closer.cgi/hadoop/common/ Step One: Upload Hadoop 2.2 and unzip to/export/

Uploading and downloading files on HDFs is the basic operation of the cluster, in the guide to Hadoop, there are examples of code for uploading and downloading files, but there is no clear way to configure the Hadoop client, after lengthy searches and debugging, How to configure a method for using clustering, and to test the available programs that you can use to

Apache Ambari is a Web-based open-source project that monitors, manages, and manages Hadoop lifecycles. It is also a project that selects management for the Hortonworks data platform. Ambari supports the following management services: Apache HBaseApache HCatalogApache Hadoop HDFSApache HiveApache Hadoop MapReduceApache OozieApache PigApache SqoopApache TempletonA

, New Path (Otherargs[0])); File inputFileoutputformat.setoutputpath (Job, New Path (Otherargs[1])); File output//if (!job.waitforcompletion (TRUE))//wait for the output to completeReturnfor (int i = 0; i Fileinputformat.addinputpath (Job, New Path (Otherargs[i]));}Fileoutputformat.setoutputpath (Job,New Path (Otherargs[otherargs.length-1]);System.exit (Job.waitforcompletion (True)? 0:1);}} Note: In the code can also, with no annotated code can also. The code for the comment is used whe

configuration file are: Run the ": WQ" command to save and exit. Through the above configuration, we have completed the simplest pseudo-distributed configuration. Next, format the hadoop namenode: Enter "Y" to complete the formatting process: Start hadoop! Start hadoop as follows: Use the JPS command that comes with Java to query all daemon processes: Star

Assume that the cluster is already configured.On the development client Linux CentOS 6.5:A. The client CentOS has an access user with the same name as the cluster: Huser.B.vim/etc/hosts joins the Namenode and joins the native IP.-------------------------1. Install Hadoop cluster with the same version of JDK,

java_home=/path/to/java command in console2 storing the data to be retrieved in HDFs$ bin/hadoop fs-put Urldir UrldirNote: The first Urldir is a local folder, a URL data file is stored, one URL per lineThe second urldir is a storage path for HDFs3 Starting the Nutch commandExecute the following command under the Nutch_hone/runtime/deploy directory$ bin/nutch Crawl Urldir–dir crawl-depth 3–topn 10After the command executes successfully, the crawl dire

requires reboot,Do not want to restart the words in the Code add: System.setproperty ("Hadoop.home.dir", "d:\\soft\\linux\\hadoop-2.4.0");(3) Exception information 3:Exception in thread "main" Org.apache.hadoop.mapred.FileAlreadyExistsException:Output directory hdfs:// 192.168.1.200:9000/user/output already existsWorkaround: The output folder already exists, modify the export folder or between outputs deleted(4) exception information 4:[97;97;98;99;1

For maven projects, the default integration test is performed as a phase of the build cycle, which is convenient for general projects to perform integration testing, but for Hadoop (or HBase) projects are not suitable because their applications run in the Cluster Environment and the development environment may be windows rather than linux, these reasons make it inconvenient to use the mvn command in the loc

The cluster space has been a little tight recently and is always worried about space shortage and crashes. The recent resizing is not realistic. After communicating with cluster users, we found that the cluster stores a lot of useless historical data and can be deleted, in this way, you can use a crontab script to generate a