. Previously, only hdfs storage can be horizontally expanded, and namenode can also be used to reduce the memory and service pressure of a single namenode.
2. Performance. Multiple namenode can increase the read/write throughput.
3. Isolation. Isolate different types of programs to control resource allocation to a certain extent.
Federation Configuration:
The federated configuration is backward compatible and allows the current single-node environment
The main class used for file operations in Hadoop is located in the org. apache. hadoop. fs package. Basic file operations include open, read, write, and close. In fact, the file API of Hadoop is generic and can be used in file systems other than HDFS.
The starting point of the Hadoop file API is the FileSystem class, which is an abstract class that interacts with the file system. Different implementation subclasses exist to process
complete the unfinished part of the previous section, and then analyze the internal principle of the HDFs read-write file.Enumerating FilesThe Liststatus () method of the FileSystem (Org.apache.hadoop.fs.FileSystem) can list the contents of a directory.Public filestatus[] Liststatus (Path f) throws FileNotFoundException, Ioexception;public filestatus[] Liststatus (Path[] files) throws FileNotFoundException, Ioexception;public filestatus[] Liststatus (
Use this command bin/Hadoop fs-cat to read the file content on HDFS to the console.
You can also use HDFS APIs to read data. As follows:
Import java.net. URI;Import java. io. InputStream;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 class FileCat{Public static void main (String []
You can use the command line bin/Hadoop fs-rm (r) to delete files (folders) on hdfs)
You can also use HDFS APIs. As follows:
Import java.net. URI;Import org. apache. hadoop. conf. Configuration;Import org. apache. hadoop. fs. FileSystem;Import org. apache. hadoop. fs. Path;Public class FileDelete{Public static void main (String [] args) throws Exception{If (args. length! = 1 ){System. out. println ("Usage
Not much to say, directly on the code.CodePackage zhouls.bigdata.myWholeHadoop.HDFS.hdfs5;Import java.io.IOException;Import Java.net.URI;Import java.net.URISyntaxException;Import org.apache.hadoop.conf.Configuration;Import Org.apache.hadoop.fs.FileSystem;Import Org.apache.hadoop.fs.Path;/**** @author* @function Copying from the Local file system to HDFS**/public class Copyinglocalfiletohdfs{/*** @function Main () method* @param args* @throws IOExcepti
The cluster environment in which Hadoop is deployed is mentioned earlier because we need to use HDFS to store the storm data offline into the HDFs and then use Hadoop to extract data from the HDFS for analytical processing.
As a result, we need to integrate STORM-HDFS, encountered many problems in the integration proce
file.2.NameNode Storage block number is limited, a block meta-information consumes about four bytes of memory, store 100 million blocks, about 20GB of memory, if a file size of 10K, The 100 million file size is only 1TB (but consumes NAMENODE20GB memory)Six, HDFs access modeHDFS shell command;HDFS Java API;HDFS REST API;HD
Today, nothing to do, so the basic operation of HDFs with Java to write a simplified program to give you some small help! PackageCom.quanttech;Importorg.apache.hadoop.conf.Configuration;ImportOrg.apache.hadoop.fs.FileSystem;ImportOrg.apache.hadoop.fs.Path;/*** @topic HDFs file Operation Tool class *@authorZhouj **/ Public classHdfsutils {/** Determine if the HDFs
Namenode start will take a long time. Secondary Namenode regularly merges fsimage and edits logs, controlling the edits log file size to a limit. Because memory requirements and Namenode are at an order of magnitude, usually Secondarynamenode and Namenode run on different machines.
At the same time, Sencondary Namenode can also be used as a cold backup for Namenode.
Two HDFs and traditional Centralized da
Hadoop distributed FileSystem (Hadoop Distributed File System, HDFS)A distributed File system is a file system that consents to file sharing on multiple hosts over a network. Allows multiple users on multiple machines to share files and storage space.HDFs is just one of them. applies to the case of one write, multiple queries. Concurrent write scenarios are not supported. Small files are not appropriate. 2.HDFS
har file has not changed. the real role of the har file is to reduce the excessive space waste of NameNode and DataNode.
16. balancer
Hdfs balancer
If the Administrator finds that some DataNode stores too much data and some DataNode stores less data, you can use the preceding command to manually start the internal balancing process.
17. dfsadmin
Hdfs dfsadmin-he
HDFS file system provides an API for an abstract File System Based on hadoop, which supports stream-based access to data in the file system.Features:1. Support for ultra-large files2. Detect and quickly respond to hardware faults (fault detection and Automatic Recovery)3. Streaming Data Access focuses on data throughput rather than data response speed4. Simplified consistency model with one write and multiple reads.Not Suitable:5. Low-latency data acc
Install times wrong: Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (site) on project Hadoop-hdfs:an Ant B Uildexception has occured:input file/usr/local/hadoop-2.6.0-stable/hadoop-2.6.0-src/hadoop-hdfs-project/ Hadoop-hdfs/target/findbugsxml.xml does not existThe reason for the mistake has been written very clearly.Workaround: Remove Docs, execute: mvn package-pdist,native-dski
The previous article has completed the installation of SQOOP2, this article describes sqoop2 to import data from Oracle HDFs has been imported from HDFs Oracle
The use of Sqoop is mainly divided into the following parts
Connect Server Search Connectors Create link Create job Execute job View job run information
Before using SQOOP2, you need to make the following modifications to the Hadoop configuration f
Using Anaconda to install Python HDFs package Python-hdfs 2.1.0 PackageFrom HDFs Import *Import timeClient = Client ("http://192.168.56.101:50070")ll = client.list ('/home/test ', status=true)For I in LL: table_name = i[0] #表名 table_attr = i[1] #表的属性 #修改时间1528353247347, 13 bits to milliseconds, need to be converted to a timestamp of 10 bits to seconds (f
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