hadoop copy directory from hdfs to hdfs

Recently, I am looking for an overall storage and analysis solution. We need to consider massive storage, analysis, and scalability. When I got to hadoop, I just started to position it to HDFS for storage. The more I see it, the more I get excited. First, perform the HDFS operation test.CodeThe complete eclipse + Tomcat project uses the Tomcat plug-in and

Not much to say, directly on the dry goods!　　1, start each machine zookeeper (bigdata-pro01.kfk.com, bigdata-pro02.kfk.com, bigdata-pro03.kfk.com)2, start the ZKFC (bigdata-pro01.kfk.com)[Email protected] hadoop-2.6.0]$ pwd/opt/modules/hadoop-2.6.0[Email protected] hadoop-2.6.0]$ sbin/hadoop-daemon.sh start ZKFC　Then,

1. Cd/usr/local/hadoop/tmp/dfs/name/current can see the key files edits and fsimage2.cd/usr/local/hadoop/conf can see the key configuration files:Core-site.xml:The Dfs.name.dir property of Hdfs-site.xmlThe Dfs.replication property of Hdfs-site.xmlFor more information, please open the source with Eclipse to view!Reading

Threepath[] Listedpaths = fileutil.stat2paths (status);Fourth Stepfor (Path p:listedpaths){SYSTEM.OUT.PRINTLN (P); }Fifth StepFs.close ();}public static void Getfilelocal () throws IOException, URISyntaxException{The first stepFileSystem Fs=getfilesystem ();Step TwoPath path=new path ("/zhouls/data/weibo.txt");Step ThreeFilestatus filestatus=fs.getfilelinkstatus (path);Fourth Stepblocklocation[] blklocations = fs.getfileblocklocations (filestatus, 0, Filestatus.getlen ());Fifth Stepfor (int i=0

(URI), conf);//filesystem HDFs = Fi Lesystem.get (Uri.create (Uro), conf); Fsdatainputstream in = Fs.open (new Path (URI));//ioutils.copybytes (in, System.out,4096,false);//in.seek (1);// Ioutils.copybytes (in, system.out,4096, false);//file read byte[] Iobuffer = new byte[1024]; int readlen = In.read (Iobuffer); while (readlen!=-1) {Readlen = In.read (Iobuffer); } String str = new string (Iobuffer); i

1. Start Hadoop. Then Netstat-nltp|grep 50070, if the process is not found, the port modification without configuring the Web interface is hdfs-site,xml with the following configurationIf you use the hostname: port number, go first to check the hostname under/etc/hosts IP, whether configured and your current IP is the same, and then restart Hadoop2. Now in the virtual machine to try to access hadoop002:5007

Distributed File System HDFS-namenode architecture namenode Is the management node of the entire file system. It maintains the file directory tree of the entire file system [to make retrieval faster, this directory tree is stored in memory], The metadata of the file/directory and the data block list corresponding to each file. Receives user operation requests. Hadoop ensures the robustness of namenode and i

The architecture of HadoopHadoop is not only a distributed file system for distributed storage, but a framework designed to perform distributed applications on large clusters of common computing devices.HDFs and MapReduce are the two most basic, most important members of Hadoop, providing complementary services or higher-level services at the core level.Pig Chukwa Hive HBaseMapReduce HDFS ZookeeperCore Avro

The client needs to specify the NS name, node configuration, Configuredfailoverproxyprovider and other information.code example:Package Cn.itacst.hadoop.hdfs;import Java.io.fileinputstream;import java.io.inputstream;import Java.io.outputstream;import Java.net.uri;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.filesystem;import Org.apache.hadoop.fs.path;import org.apache.hadoop.io.IOUtils; Public classHdfs_ha { Public Static voidMain (string[] args) throws Exception {Conf

1. View HelpHadoop fs-help 2. UploadPaths on files > such as: Hadoop fs-put test.log/3. View the contents of the filePaths on Hadoop fs-cat such as: Hadoop fs-cat/test.log4. View File listHadoop Fs-ls/5. Download the filePaths on Hadoop fs-get 6, execution jar: such as the implementation of the WordCount

size of a data Block, it does not occupy the space of the entire data Block. Write1), the Client initiates a file write request to the NameNode.2) according to the file size and file block configuration, NameNode returns the information of the DataNode managed by the Client.30. The Client divides the file into multiple blocks and writes them to each DataNode Block in sequence based on the DataNode address information. Read1), the Client initiates a File Read Request to the NameNode.2). NameNode

SOURCE url:http://www.36dsj.com/archives/41391 According to Maneesh Varshney's comic book, the paper explains the HDFs storage mechanism and operation principle in a concise and understandable comic form. first, the role starred As shown in the figure above, the HDFs storage-related roles and functions are as follows: Client: Clients, system users, invoke HDFs

1. HDFs machine Migration, implementation sbin/stop-dfs.sh Error: Dchadoop010.dx.momo.com:no Namenode to stopDchadoop009.dx.momo.com:no Namenode to stopDchadoop010.dx.momo.com:no Datanode to stopDchadoop009.dx.momo.com:no Datanode to stopDchadoop011.dx.momo.com:no Datanode to stopStopping journal nodes [dchadoop009.dx.momo.com dchadoop010.dx.momo.com dchadoop011.dx.momo.com]Dchadoop010.dx.momo.com:no Journalnode to stopDchadoop009.dx.momo.com:no Journ

is append (), which allows data to be appended at the end of an existing file The progress () method is used to pass the callback interface, which notifies the application that the data is being written to Datenode. 1String localsrc = args[0];2String DST = args[1];3 //get file Read stream4InputStream in =NewInputStream (NewFileInputStream (LOCALSRC));5 6Configuration conf =NewConfiguration ();7FileSystem fs =Filesystem.get (Uri.create (DST), conf);8OutputStream out = Fs,create (NewPath

To ensure the reliability of the storage file, HDFs decomposes the file into multiple sequence blocks and saves multiple copies of the data block. This is important for fault tolerance, where a copy of a block of data can be read from another node when one of the data blocks of the file is corrupted. HDFs has a "rack-aware" strategy for placing a

Data management and fault tolerance in HDFs1. Placement of data blocksEach data block 3 copies, just like above database A, this is because the data in the transmission process of any node is likely to fail (no way, cheap machine is like this), in order to ensure that the data can not be lost, so there are 3 copies, so that the hardware fault tolerance, ensure the accuracy of data transmission process.3 copies of the data, placed on two racks. For example, there are 2 copies of rack 1 above, and

is passed in, and the cancellation state of the cancellation iscancelled is true, exit the while loop directlyif(Canceler! = null canceler.iscancelled ()) {return; }Longnow = Monotonicnow ();//Calculates the current cycle end time. and stored in the curperiodend variable.LongCurperiodend = Curperiodstart + period;if(Now //wait for the next cycle so that Curreserve can addTry{Wait (curperiodend-now); }Catch(Interruptedexception e) {//Terminate throttle, and reset the interrupted state to ensure

First, the preparation conditions:1. Four Linux virtual machines (1 namenode nodes, 1 secondary nodes (secondary and 1 datanode shared), plus 2 datanode)2. Download the Hadoop version, this example uses the Hadoop-2.5.2 versionSecond, install Java JDKBest installed, JDK 1.7 is best for JDK 1.7 compatibility-IVH jdk-7u79-linux-/root/. Bash_profilejava_home=/usr/java/jdk1. 7 . 0_79path= $PATH: $JAVA _home/bin

Hadoop is now a very hot big data running framework and platform, for this amazing big guy I am not clear, the previous time to ignore it to run HADOOP, look at its operation record storage part (Operation log), IMAGE records all the platform's file operation records, such as creating files, Delete files, rename and so on, here are some of my little observations.Formatting----InitializationThis is the initi

There was an article in detail about how to install Hadoop+hbase+zookeeper The title of the article is: Hadoop+hbase+zookeeper distributed cluster construction perfect operation Its website: http://blog.csdn.net/shatelang/article/details/7605939 This article is about hadoop1.0.0+hbase0.92.1+zookeeper3.3.4. The installation file versions are as follows: Please refer to the previous article for details, a