hdfs architecture

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Operation of the HDFs file system

Package com.bank.utils;Import Java.io.BufferedInputStream;Import Java.io.BufferedOutputStream;Import Java.io.File;Import Java.io.FileInputStream;Import java.io.FileNotFoundException;Import Java.io.FileOutputStream;Import java.io.IOException;Import Java.net.URI;Import Java.text.SimpleDateFormat;Import Java.util.Date;Import org.apache.hadoop.conf.Configuration;Import Org.apache.hadoop.fs.FSDataInputStream;Import Org.apache.hadoop.fs.FSDataOutputStream;Import Org.apache.hadoop.fs.FileStatus;Import

Optimization of HDFs Small file merging problem: Improvement of Copymerge

1. Problem analysisUse the fsck command to count the size of the log on one day in HDFs, the block situation, and the average block size, i.e.[[emailprotected] jar]$ Hadoop fsck/wcc/da/kafka/report/2015-01-11deprecated:use of this script to execute HDFS CO Mmand is deprecated. Instead Use the HDFs command for IT.15/01/13 18:57:23 WARN util. nativecodeloader:unabl

Shell script monitors flume output to HDFs file legitimacy

In the use of flume found due to network, HDFs and other reasons, so that after the flume collected to the HDFs log some anomalies, performance as:1. Files that have not been closed: Files ending with tmp (default). Added to the HDFs file should be a GZ compressed file, the file with the end of TMP can not be used;2, there is a size of 0 files, such as GZ compres

In-depth hadoop Research: (2) Access HDFS through Java

Reprinted please indicate the source, http://blog.csdn.net/lastsweetop/article/details/9001467 All source code on GitHub, https://github.com/lastsweetop/styhadoopReading data using hadoop URL is a simple way to read HDFS data through java.net. the URL opens a stream, but before that, you must call its seturlstreamhandlerfactory method to set it to fsurlstreamhandlerfactory (the factory retrieves the parsing HDFS

Modifying the Flume-ng HDFs sink parsing timestamp source greatly improves write performance

Transferred from: http://www.cnblogs.com/lxf20061900/p/4014281.htmlThe pathname of the HDFs sink in Flume-ng (the corresponding parameter "Hdfs.path", which is not allowed to be empty) and the file prefix (corresponding to the parameter "Hdfs.fileprefix") support the regular parsing timestamp to automatically create the directory and file prefix by time.In practice, it is found that the flume built-in parsing method is time-consuming and has great roo

Operations & Management plug-ins for HDFs via Java

Establish connection, guide packageIf you don't need maven, unzip the Hadoop installation package,share==>hadoop==>common==>lib All the copy and paste in the past, share==>hadoop==>hdfs==>lib inside all copy paste past. If you're using maven to search for Hadoop in maven repository , find common , find the corresponding versionCopy to pom.xml Re-import Hadoop ClientThe first step is to establish the connection and connect the Namenodebefore configu

Flume use summary of data sent to Kafka, HDFs, Hive, HTTP, netcat, etc.

-ng agent-c conf-f conf/netcat.conf-n a1-dflume.root.logger=info,console. Then at another terminal, use Telnet to send data: command: Telnet hadoop-maser 44444[[emailprotected] ~]# telnet hadoop-master 44444Trying 192.168.194.6...Connected to Hadoop-master. Escape character is ' ^] '. Displaying the above information indicates that the connection flume succeeded, and then enter: 12213213213ok12321313ok will receive the corresponding message in flume: 2018-06-12 08:38:51,129 ( Sinkrunner-polling

Datax data synchronization between HDFs and MySQL

This case only applies to the data synchronization implementation between HDFs and MySQL.1, before compiling the installation note will release the following Setsharepath method in the path to your own installation path, the author of the/home/woody/datax/libs.2, RPM packaging, to modify the path in the *.spec file, Dataxpath, in addition, you may also need to comment out some of the assignment file code, such as Cp–r ${oldpwd}****.properties ****.con

Data import and export between HDFS, Hive, MySQL, Sqoop (strongly recommended to see)

Tags: exporting. NET size Data Conversion ref DIR username Nat tmpHive Summary (vii) hive four ways to import data (strongly recommended to see) Several methods of data export of Hive https://www.iteblog.com/archives/955 (strongly recommended to see) Import MySQL data into HDFs 1. Manually import using MySQL tools The simplest way to import MySQL's exported data into HDFs is to use command-line tools an

Flume+kafka+hdfs Building real-time message processing system

. This is a viable solution for the same log data and offline analysis system as Hadoop, but requires real-time processing constraints. The purpose of Kafka is to unify online and offline message processing through Hadoop's parallel loading mechanism, and also to provide real-time consumption through the cluster machine.Kafka distributed subscription architecture such as:--taken from Kafka official website650) this.width=650; "src=" Http://s3.51cto.co

Apache Hadoop 2.2.0 HDFS HA + yarn multi-Machine deployment

To deploy the logical schema: HDFS HA Deployment Physical architecture Attention: Journalnode uses very few resources, even in the actual production environment, but also Journalnode and Datanode deployed on the same machine; in the production environment, it is recommended that the main standby namenode each individual machine. Yarn Deployment Schema: Personal Experiment Environment deployment diag

Hadoop HDFS (1)

HDFS is a hadoop distributed filesystem, A hadoop distributed file system. When the data is as big as one machine and cannot be stored, it should be distributed to multiple machines. The file system that manages the storage space on multiple computers through the network is called a distributed file system. The complexity of network programs makes distributed file systems much more complex than ordinary disk file systems. For example, one of the bigge

Quick copy of HDFS data scheme: FastCopy

ObjectiveWhen we are using HDFS, sometimes we need to do some temporary data copy operation, if it is in the same cluster, we directly with the internal HDFS CP command, if it is cross-cluster or when the amount of data to be copied is very large size, We can also use the Distcp tool. But does this mean that we use these tools to still be efficient when copying data? That's not the answer, actually. In many

One of the hadoop learning summaries: HDFS introduction (ZZ is well written)

I. Basic concepts of HDFS 1.1. Data blocks) HDFS (Hadoop Distributed File System) uses 64 mb data blocks by default. Similar to common file systems, HDFS files are divided into 64 mb data block storage. In HDFS, if a file is smaller than the size of a data block, it does not occupy the entire data block storage spa

[To be completed] [hdfs_3] HDFS Working Mechanism

0. Description Analysis of HDFS Initialization File System HDFS file writing process HDFS File Reading Process 1. Analysis of HDFS Initialization File System Initializing configuration through two profile core-site.xml and core-default.xml Initialize the file system through the value specified by fs. defaultfs

Analysis of HDFS file writing principles in Hadoop

Analysis of HDFS file writing principles in Hadoop Not to be prepared for the upcoming Big Data era. The following vernacular briefly records what HDFS has done in Hadoop when storing files, provides some reference for future cluster troubleshooting. Enter the subject The process of creating a new file: Step 1: The client uses the creat () method in the DistributedFilesystem object to create a file. At this

Hadoop HDFs Programming API Primer Series Hdfsutil version 2 (vii)

Not much to say, directly on the code.CodePackage ZHOULS.BIGDATA.MYWHOLEHADOOP.HDFS.HDFS1;Import Java.io.FileInputStream;Import java.io.FileNotFoundException;Import Java.io.FileOutputStream;Import java.io.IOException;Import Java.net.URI;Import Org.apache.commons.io.IOUtils;Import org.apache.hadoop.conf.Configuration;Import Org.apache.hadoop.fs.FSDataInputStream;Import Org.apache.hadoop.fs.FSDataOutputStream;Import Org.apache.hadoop.fs.FileStatus;Import Org.apache.hadoop.fs.FileSystem;Import Org.

"Comic reading" HDFs Storage principle (reprint)

reprinted from: Http://www.cnblogs.com/itboys/p/5497698.htmlrole starredAs shown, the HDFS storage-related roles and functions are as follows:Client: Clients, system users, invoke HDFs API operation files, get file metadata interactively with NN, and read and write data with DN.Namenode: Meta Data node, is the system's only manager. Responsible for metadata management, providing metadata queries with client

HDFs Recycle Bin && Safe Mode

Recycle Bin mechanism1). The Recycle Bin mechanism for HDFS is set by the Fs.trash.interval property (in minutes) in Core-site.xml, which defaults to 0, which means that it is not enabled. Note: The configuration value should be 1440, while the configuration 24*60 throws a NumberFormatException exception (pro-Test).2). When the Recycle Bin feature is enabled, each user has a separate Recycle Bin directory, which is the home directory. Trash directory.

Hadoop HDFS Tools

Hadoop HDFS Tools PackageCN.BUAA;ImportJava.io.ByteArrayOutputStream;ImportJava.io.IOException;ImportJava.io.InputStream;ImportOrg.apache.hadoop.conf.Configuration;ImportOrg.apache.hadoop.fs.FSDataOutputStream;ImportOrg.apache.hadoop.fs.FileStatus;ImportOrg.apache.hadoop.fs.FileSystem;ImportOrg.apache.hadoop.fs.Path;ImportOrg.apache.hadoop.fs.RemoteIterator;ImportOrg.apache.hadoop.io.IOUtils;/ * * @author LZXYZQ *

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