1. Problem: When the input of a mapreduce program is a lot of mapreduce output, since input defaults to only one path, these files need to be merged into a single file. This function copymerge is provided in Hadoop.
The function is implemented as follows:
public void Copymerge (string folder, string file) {
path src = new Path (folder);
Path DST = new path (file);
Configuration conf = new configuration ();
try {
Fileutil.copymerge (src.getfilesystem (conf), SRC,
dst.getfilesys
files under that folder-W indicates how much of the replica is changedUse the-r option to change the number of copies of all directories + files recursively in a directory
Setrep [-R] [-W] Rep
Example
HDFs dfs-setrep-w 3/user/dataflair/dir1
Du
Similar to the Du in Linux, statistics the size of each file in a directory, you can add-h to improve file readabilityInstruction usage
Du
Example
HDFs dfs-du/us
I. Introduction to HDFS shell commands
We all know that HDFS is a distributed file system for data access. HDFS operations are basic operations of the file system, such as file creation, modification, deletion, and modification permissions, folder creation, deletion, and renaming.
Tags: mod file copy ima time LSP tab version Execute file cinSince HDFs is a distributed file system for accessing data, the operation of HDFs is the basic operation of the file system, such as file creation, modification, deletion, modification permissions, folder creation, deletion, renaming, etc. The operations command for HDFS is similar to the operation of t
Apache-->hadoop's official Website document Command learning:http://hadoop.apache.org/docs/r1.0.4/cn/hdfs_shell.html
FS Shell
The call file system (FS) shell command should use the bin/hadoop fs scheme://authority/path. For the HDFs file system, Scheme is HDFs, to the local file system, scheme is file. The scheme and authority parameters are optional, and if not specified, the default scheme spe
-dense hybrid parallel computing, such as 3D movie rendering.HDFs has the following limitations during use:HDFs is not suitable for storing large amounts of small files, because Namenode stores the file system's metadata in memory, so the number of files stored is limited by the namenode memory size;HDFs is suitable for high throughput and is not suitable for low latency access;Streaming read, not suitable for multiple users to write a file (a file ca
classifier feature. It works as follows:
By offline analysis of the Namenode fsimage file, the parsed file is counted according to the size interval, then the statistic results are output.
The range and number of intervals is determined by the maximum value of the MaxSize file passed in by the user and by the range size value of each interval of the step. For example, we set the maxsize to 10m,step for 2m, then the divided interval will be divided into 5 + 1 parts, +1 is because 0-0 more counte
Overview
The filesystem (FS) Shell is invoked by bin/hadoop FS Scheme: // autority/path. For HDFS the scheme isHDFS, And for the local filesystem the scheme isFile. The scheme and authority are optional. If not specified, the default scheme specified in the configuration is used. an HDFS file or directory such/Parent/childCan be specifiedHDFS: // namenodehost/parent/childOr simply/Parent/child(Given that yo
One. HDFs shell commandWe all know that HDFs is a distributed file system to access data, then the operation of HDFs is the basic operation of the file system, such as file creation, modification, deletion, modify permissions, folder creation, deletion, renaming and so on. The operation of the HDFs command is similar t
first copied to Datanode, and only all the Datanode have successfully received the data, and the file upload is successful.4. Copy the files in HDFs to the local systemShown here is the "-get file 1 File 2" command that copies the in file in HDFs to the local system and is named Getin:[Email protected]:~/opt/hadoop-0.20. 2 in Getin5. Delete the document under HDFsThe "-RMR file" command is shown here to r
HDFS installation, configuration, and basic use
HDFS is a distributed file system. After installation, HDFS is similar to a local file system, but HDFS is a network file system, therefore, the access to this file system is different from the access to the local file system (the local file system is called based on the
can achieve hot swapping without restarting the computer and Hadoop services. The start-balancer. sh script in the Hadoop H ome/bin directory is the start script of the task. The startup command is 'start − balancer. sh script in the HadoopHome/bin directory, which is the startup script of the task. Start command: 'hadoop_home/bin/start-balancer.sh-threshold'
Several parameters that affect Balancer:
-Threshold
Default Value: 10. value range: 0-100.
Parameter description: threshold va
:
4. Ha Deployment Details
Once all configurations are complete, you must initially synchronize the metadata on the two hanamenode disks. If you are installing a new HDFs cluster, you need to run the Format command (Hdfsnamenode-format) in one of the Namenode, if you have already formatted Namenode or are transitioning from a non-ha environment to an HA environment, Then you need to use SCP or similar command
regularly sends its own running status and storage content to the NameNode in the cluster, work according to the commands sent by NameNode;
6. nameNode is responsible for receiving the information sent from the client, and then sending the file storage location information to the client that submits the request. The client can directly contact DataNode to perform operations on some files.
7. Block is the basic storage unit of
Participation in the Curriculum foundation requirements
Has a strong interest in cloud computing and is able to read basic Java syntax.
Ability to target after training
Get started with Hadoop directly, with the ability to directly work with Hadoop development engineers and system administrators.
Training Skills Objectives
• Thoroughly understand the capabilities of the cloud computing technology that Hadoop represents• Ability to build a
to Use HDFS?
HDFS can be directly used after hadoop is installed. There are two methods:
One is imperative:
We know that there is a hadoop command in the bin directory of hadoop. This is actually a management command of hadoop. We can use this to operate on HDFS.
hadoop fs -lsr /The preceding example recursively lists all files (folders) in the root directory o
1. Overview
A small file is a file with a size smaller than a block of HDFs. Such files can cause serious problems with the scalability and performance of Hadoop. First, in HDFs, any block, file or directory in memory is stored as objects, each object is about 150byte, if there are 1000 0000 small files, each file occupies a block, then Namenode needs about 2G space. If you store 100 million files, Namenod
Http://www.cnblogs.com/sxt-zkys/archive/2017/07/24/7229857.html
Hadoop's HDFs
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HDFs Introduction
HDFS (Hadoop Distributed File System) Hadoop distributed filesystem. is based on a copy o
is as follows:
1
NameNode (Filename,replicas,block-ids,id2host ...)
Example:
1
/TEST/A.LOG,3,{BLK_1,BLK_2},[{BLK_1:[H0,H1,H3]},{BLK_2:[H0,H2,H4]}]
DescriptionA.log stored 3 copies, the file was cut into three pieces, respectively: Blk_1,blk_2, the first piece is stored in the H0,H1,H3 three machines, the second block is stored on the H0,H2,H4.HDFS Shell Common CommandsThe call file syste
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