-大数据入门-2-Hadoop-HDFS =解析整理其常用命令

Hadoop之HDFS的原理和常用命令及API(java) 阅读详情

1 恢复命令"debug"

[hadoop@hadoop001 hadoop]$ bin/hdfs dfs   这样命令帮助没有
Usage: hadoop fs [generic options]
	[-appendToFile <localsrc> ... <dst>]
	[-cat [-ignoreCrc] <src> ...]
	[-checksum <src> ...]
	[-chgrp [-R] GROUP PATH...]
	[-chmod [-R] <MODE[,MODE]... | OCTALMODE> PATH...]
	[-chown [-R] [OWNER][:[GROUP]] PATH...]
	[-copyFromLocal [-f] [-p] [-l] <localsrc> ... <dst>]
	[-copyToLocal [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]
	[-count [-q] [-h] [-v] <path> ...]
	[-cp [-f] [-p | -p[topax]] <src> ... <dst>]
	[-createSnapshot <snapshotDir> [<snapshotName>]]
	[-deleteSnapshot <snapshotDir> <snapshotName>]
	[-df [-h] [<path> ...]]
	[-du [-s] [-h] <path> ...]
	[-expunge]
	[-find <path> ... <expression> ...]
	[-get [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]
	[-getfacl [-R] <path>]
	[-getfattr [-R] {-n name | -d} [-e en] <path>]
	[-getmerge [-nl] <src> <localdst>]
	[-help [cmd ...]]
	[-ls [-d] [-h] [-R] [<path> ...]]
	[-mkdir [-p] <path> ...]
	[-moveFromLocal <localsrc> ... <dst>]
	[-moveToLocal <src> <localdst>]
	[-mv <src> ... <dst>]
	[-put [-f] [-p] [-l] <localsrc> ... <dst>]
	[-renameSnapshot <snapshotDir> <oldName> <newName>]
	[-rm [-f] [-r|-R] [-skipTrash] <src> ...]
	[-rmdir [--ignore-fail-on-non-empty] <dir> ...]
	[-setfacl [-R] [{-b|-k} {-m|-x <acl_spec>} <path>]|[--set <acl_spec> <path>]]
	[-setfattr {-n name [-v value] | -x name} <path>]
	[-setrep [-R] [-w] <rep> <path> ...]
	[-stat [format] <path> ...]
	[-tail [-f] <file>]
	[-test -[defsz] <path>]
	[-text [-ignoreCrc] <src> ...]
	[-touchz <path> ...]
	[-usage [cmd ...]]
Generic options supported are
-conf <configuration file>     specify an application configuration file
-D <property=value>            use value for given property
-fs <local|namenode:port>      specify a namenode
-jt <local|resourcemanager:port>    specify a ResourceManager
-files <comma separated list of files>    specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars>    specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives>    specify comma separated archives to be unarchived on the compute machines.
The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]

[hadoop@hadoop001 hadoop]$ bin/hdfs debug      但这样查debug就有
Usage: hdfs debug <command> [arguments]
verify [-meta <metadata-file>] [-block <block-file>]
recoverLease [-path <path>] [-retries <num-retries>]
[hadoop@hadoop001 hadoop]$ 

2 常用命令

Hadoop 命令帮助

[hadoop@hadoop001 ~]$ hadoop
Usage: hadoop [--config confdir] COMMAND
       where COMMAND is one of:
       
  fs                   run a generic filesystem user client     等价于 hdfs dfs
  
  version              print the version      查看Hadoop版本
  
  jar <jar>            run a jar file             运行一个jar到yarn上
  
  checknative [-a|-h]  check native hadoop and compression libraries availability       检查本机
  
  distcp <srcurl> <desturl> copy file or directories recursively   两个集群之间作一个拷贝
  
  archive -archiveName NAME -p <parent path> <src>* <dest> create a hadoop archive   存档
  
  classpath            prints the class path needed to get the         类路径

hadoop checknative/classpath

[hadoop@hadoop001 ~]$ hadoop checknative
19/07/13 18:27:11 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Native library checking:
hadoop:  false 
zlib:    false 
snappy:  false                   false不支持,编译后true支持
lz4:     false 
bzip2:   false 
openssl: false 
19/07/13 18:27:12 INFO util.ExitUtil: Exiting with status 1



[hadoop@hadoop001 ~]$ hadoop classpath            坑,代表Hadoop在加载过程中需要加载那些jar包
/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/etc/hadoop:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/lib/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/lib/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/lib/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/lib/*:/home/hadoop/software/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/*:/home/hadoop/app/hadoop/contrib/capacity-scheduler/*.jar
[hadoop@hadoop001 ~]$ cat hadoop-env.sh

3 hdfs命令帮助

[hadoop@hadoop001 ~]$ hdfs
Usage: hdfs [--config confdir] COMMAND
       where COMMAND is one of:
       
  dfs                  run a filesystem command on the file systems supported in Hadoop.        上传,下载,创建,修改权限等等都需要它
  
  namenode -format     format the DFS filesystem     进行格式化dfs文件系统,高危参数
  
  secondarynamenode    run the DFS secondary namenode           运行dfs..........     再上一层学习
  namenode             run the DFS namenode
  journalnode          run the DFS journalnode
  zkfc                 run the ZK Failover Controller daemon
  datanode             run a DFS datanode
  dfsadmin             run a DFS admin client
  haadmin              run a DFS HA admin client
  
  fsck                 run a DFS filesystem checking utility   查看文件系统的健康状态
  balancer             run a cluster balancing utility   集群数据迁移
  
  jmxget               get JMX exported values from NameNode or DataNode.
  mover                run a utility to move block replicas across
                       storage types


  getconf              get config values from configuration       解析xml文件
  

hdfs fsck 查看文件系统健康状态

[hadoop@hadoop001 ~]$ hdfs fsck
Usage: DFSck <path> [-list-corruptfileblocks | [-move | -delete | -openforwrite] [-files [-blocks [-locations | -racks]]]]
	<path>	start checking from this path
	-move	move corrupted files to /lost+found
	
	-delete	delete corrupted files         删除损坏的文件
	
	-files	print out files being checked
	-openforwrite	print out files opened for write
	-includeSnapshots	include snapshot data if the given path indicates a snapshottable directory or there are snapshottable directories under it
	-list-corruptfileblocks	print out list of missing blocks and files they belong to
	-blocks	print out block report
	-locations	print out locations for every block
	-racks	print out network topology for data-node locations

	-blockId	print out which file this blockId belongs to, locations (nodes, racks) of this block, and other diagnostics info (under replicated, corrupted or not, etc)

Please Note:
	1. By default fsck ignores files opened for write, use -openforwrite to report such files. They are usually  tagged CORRUPT or HEALTHY depending on their block allocation status
	2. Option -includeSnapshots should not be used for comparing stats, should be used only for HEALTH check, as this may contain duplicates if the same file present in both original fs tree and inside snapshots.

Generic options supported are
-conf <configuration file>     specify an application configuration file
-D <property=value>            use value for given property
-fs <local|namenode:port>      specify a namenode
-jt <local|resourcemanager:port>    specify a ResourceManager
-files <comma separated list of files>    specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars>    specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives>    specify comma separated archives to be unarchived on the compute machines.

The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]

Generic options supported are
-conf <configuration file>     specify an application configuration file
-D <property=value>            use value for given property
-fs <local|namenode:port>      specify a namenode
-jt <local|resourcemanager:port>    specify a ResourceManager
-files <comma separated list of files>    specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars>    specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives>    specify comma separated archives to be unarchived on the compute machines.

The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]

[hadoop@hadoop001 ~]$ hdfs fsck /
19/07/13 19:00:41 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Connecting to namenode via http://hadoop001:50070
FSCK started by hadoop (auth:SIMPLE) from /10.9.6.136 for path / at Sat Jul 13 19:00:44 CST 2019
...................................Status: HEALTHY
 Total size:	221207 B
 Total dirs:	16
 Total files:	35
 Total symlinks:		0
 Total blocks (validated):	33 (avg. block size 6703 B)
 Minimally replicated blocks:	33 (100.0 %)
 Over-replicated blocks:	0 (0.0 %)
 Under-replicated blocks:	0 (0.0 %)
 Mis-replicated blocks:		0 (0.0 %)
 Default replication factor:	1
 Average block replication:	1.0
 Corrupt blocks:		0
 Missing replicas:		0 (0.0 %)
 Number of data-nodes:		1
 Number of racks:		1
FSCK ended at Sat Jul 13 19:00:44 CST 2019 in 21 milliseconds
The filesystem under path '/' is HEALTHY(健康的)corrupt(损坏)
[hadoop@hadoop001 ~]$ 


[hadoop@hadoop001 sbin]$ ./hadoop-daemon.sh start NameNode(.....)    启动单个节点


[hadoop@hadoop001 ~]$ hdfs fsck -delete/   从/开始检查,遇到损坏的删除,不是删除根目录,
19/07/13 19:09:40 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Connecting to namenode via http://hadoop001:50070
fsck: Illegal option '-delete/'
Usage: DFSck <path> [-list-corruptfileblocks | [-move | -delete | -openforwrite] [-files [-blocks [-locations | -racks]]]]
	<path>	start checking from this path
	-move	move corrupted files to /lost+found
	-delete	delete corrupted files
	-files	print out files being checked
	-openforwrite	print out files opened for write
	-includeSnapshots	include snapshot data if the given path indicates a snapshottable directory or there are snapshottable directories under it
	-list-corruptfileblocks	print out list of missing blocks and files they belong to
	-blocks	print out block report
	-locations	print out locations for every block
	-racks	print out network topology for data-node locations

	-blockId	print out which file this blockId belongs to, locations (nodes, racks) of this block, and other diagnostics info (under replicated, corrupted or not, etc)

Please Note:
	1. By default fsck ignores files opened for write, use -openforwrite to report such files. They are usually  tagged CORRUPT or HEALTHY depending on their block allocation status
	2. Option -includeSnapshots should not be used for comparing stats, should be used only for HEALTH check, as this may contain duplicates if the same file present in both original fs tree and inside snapshots.

Generic options supported are
-conf <configuration file>     specify an application configuration file
-D <property=value>            use value for given property
-fs <local|namenode:port>      specify a namenode
-jt <local|resourcemanager:port>    specify a ResourceManager
-files <comma separated list of files>    specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars>    specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives>    specify comma separated archives to be unarchived on the compute machines.

The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]

HDFS getconf 解析xml文件

[hadoop@hadoop001 ~]$ hdfs getconf
19/07/15 21:22:40 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
hdfs getconf is utility for getting configuration information from the config file.

hadoop getconf 
	[-namenodes]			gets list of namenodes in the cluster.
	[-secondaryNameNodes]			gets list of secondary namenodes in the cluster.
	[-backupNodes]			gets list of backup nodes in the cluster.
	[-includeFile]			gets the include file path that defines the datanodes that can join the cluster.
	[-excludeFile]			gets the exclude file path that defines the datanodes that need to decommissioned.
	[-nnRpcAddresses]			gets the namenode rpc addresses
	[-confKey [key]]			gets a specific key from the configuration    从配置中获取特定密钥


[hadoop@hadoop001 hadoop]$ cat yarn-site.xml
<?xml version="1.0"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License. See accompanying LICENSE file.
-->
<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
     <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>hadoop001:8081</value>
    </property>
    <property>
	<name>yarn.resourcemanager.webapp.https.address</name>
        <value>hadoop001:8090</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop001</value>
    </property>
    <property>
        <name>yarn.nodemanager.hostname</name>
        <value>hadoop001</value>
    </property>
</configuration>
[hadoop@hadoop001 hadoop]$ pwd
/home/hadoop/app/hadoop/etc/hadoop
[hadoop@hadoop001 hadoop]$ 


[hadoop@hadoop001 ~]$ hdfs getconf -confKey yarn.nodemanager.hostname
19/07/15 21:27:31 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
hadoop001
[hadoop@hadoop001 ~]$ 

4 hdfs dfs 命令帮助

[hadoop@hadoop001 ~]$ hdfs dfs              命令有一部分都和Linux一样
Usage: hadoop fs [generic options]
	[-appendToFile <localsrc> ... <dst>]
	[-cat [-ignoreCrc] <src> ...]       查看文件内容
	
	[-checksum <src> ...]          校检
	[-chgrp [-R] GROUP PATH...]
	
	[-chmod [-R] <MODE[,MODE]... | OCTALMODE> PATH...]     改权限
	[-chown [-R] [OWNER][:[GROUP]] PATH...]                             改用户组
	
	[-copyFromLocal [-f] [-p] [-l] <localsrc> ... <dst>]                  Linux拷贝到HDFS
	[-copyToLocal [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]        HDFS拷贝到Linux
		[-get [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]    Linux拷贝到HDFS
	[-put [-f] [-p] [-l] <localsrc> ... <dst>]                 HDFS拷贝到Linux
	
	[-count [-q] [-h] [-v] <path> ...]           计算
	
	[-cp [-f] [-p | -p[topax]] <src> ... <dst>]        复制
	
	[-createSnapshot <snapshotDir> [<snapshotName>]]         创建快照
	[-deleteSnapshot <snapshotDir> <snapshotName>]         删除快照
	
	[-df [-h] [<path> ...]]
	[-du [-s] [-h] <path> ...]
	[-expunge]
	[-find <path> ... <expression> ...]
	[-getfacl [-R] <path>]
	[-getfattr [-R] {-n name | -d} [-e en] <path>]
	[-getmerge [-nl] <src> <localdst>]
	[-help [cmd ...]]
	[-ls [-d] [-h] [-R] [<path> ...]]
	[-mkdir [-p] <path> ...]
	[-moveFromLocal <localsrc> ... <dst>]
	[-moveToLocal <src> <localdst>]
	[-mv <src> ... <dst>]
	
	[-renameSnapshot <snapshotDir> <oldName> <newName>]
	[-rm [-f] [-r|-R] [-skipTrash] <src> ...]
	[-rmdir [--ignore-fail-on-non-empty] <dir> ...]
	[-setfacl [-R] [{-b|-k} {-m|-x <acl_spec>} <path>]|[--set <acl_spec> <path>]]
	[-setfattr {-n name [-v value] | -x name} <path>]
	[-setrep [-R] [-w] <rep> <path> ...]
	[-stat [format] <path> ...]
	[-tail [-f] <file>]
	[-test -[defsz] <path>]
	[-text [-ignoreCrc] <src> ...]
	[-touchz <path> ...]
	[-usage [cmd ...]]

Generic options supported are
-conf <configuration file>     specify an application configuration file
-D <property=value>            use value for given property
-fs <local|namenode:port>      specify a namenode
-jt <local|resourcemanager:port>    specify a ResourceManager
-files <comma separated list of files>    specify comma separated files to be copied to the map reduce cluster
-libjars <comma separated list of jars>    specify comma separated jar files to include in the classpath.
-archives <comma separated list of archives>    specify comma separated archives to be unarchived on the compute machines.
The general command line syntax is
bin/hadoop command [genericOptions] [commandOptions]
大数据Hadoop入门——HDFS、Yarn、MapReduce Hadoop框架详细个人总结——Hadoop入门篇大数据是什么?Hadoop基本概念介绍一、什么是Hadoop?二、Hadoop优势——四高三、Hadoop组成(重点)四、HDFS架构五、YARN架构六、MapReduce架构七、HDFS、YARN、MapReduce 三者关系Hadoop运行环境搭建虚拟机的准备一、安装虚拟机二、虚拟机配置及环境准备Hadoop运行模式一、本地运行模式二、伪分布式模式三、完全分布式模式**1.虚拟机准备****2.准备一个集群分发脚本****3.SSH 无密登录配置**** 阅读详情

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Conda虚拟环境用conda和pip安装软件包的路径问题

解决在虚拟环境中用pip默认把软件包安装到全局site-packages中。

stone9528的博客 4万+

大数据:Hadoop文件操作HDFS常用命令(一)

大数据:Hadoop文件操作HDFS常用命令(一) 1、创建目录。在HDFS中创建一个文件目录: hadoop dfs -mkdir 2、查看文件结构目录: hdfs dfs -ls -R / 例如,在HDFS中创建一个test_dir的文件目录,然后查看: 如果查看具体某一个文件目录下的文件层次,则为: hadoop fs -ls /mydir myd...

Zhang Phil 3万+

AD9361 官方例程

文章目录一、官方资料1.1 介绍1.2 下载 和 使用1.3 相关资料二、步骤2.1 在Vivado中构建HDL2.2 在SDK中构建No- OS总结 一、官方资料 1.1 介绍 HDL参考设计介绍:AD9361 HDL Reference Designs 无操作系统介绍:AD9361 No-OS Software 1.2 下载 和 使用 HDL下载:Download HDL 在Vivado中构建HDL:Building HDL No-OS下载:Download No-OS 1.3 相关资料 AD

weixin_44630490的博客 3万+

ASPICE标准快速掌握「2.1. 过程能力概览」

一个项目的质量流程是否做的好最终会需要由一个指标来确定,ASPICE将其称为过程能力(Process capability),过程能力是一个综合的判定概念。而为了实现这个概念,ASPICE建立了一套完整的过程评估模型(Process Assessment Model),通过这套评估模型最终就能得出过程能力的最终得分。项目组根据这个得分不断改进和优化得分不足的方面,从而约束整个流程的各个方面来间接提升项目的最终质量。这里有三个关键术语:其中最主要的就是PAM,即过程评估模型,由ASPICE给出,该模型可以看成

雪云飞星的博客 1184

大数据技术之Hadoop(HDFS)

文件系统是一种存储和组织数据的方法,实现了数据的存储、分级组织、访问和获取等操作,使得用户对文件访问和查找变得容易;文件系统使用树形目录的抽象逻辑概念代替了硬盘等物理设备使用数据块的概念,用户不必关心数据底层存在硬盘哪里,只需要记住这个文件的所属目录和文件名即可;比如windows操作系统数据:指存储的内容本身,比如文件、视频、图片等元数据:又称之为解释性数据,记录数据的数据;一般指文件大小、最后修改时间、底层存储位置、属性、所属用户、权限等信息。Hadoop分布式文件系统。

西敏寺的乐章的博客 4865

光学传播仿真软件:SPEOS_(14).建筑物内光环境仿真

在建筑物内光环境仿真中,材料属性的定义直接影响光的传播和反射效果。SPEOS提供了丰富的材料库,但也可以自定义材料属性以满足特定需求。创建新材料选择Materials->。输入材料名称和类型。配置材料属性选择材料对象,打开属性编辑器。设置反射率、透射率、表面粗糙度和颜色。# 导入SPEOS模块# 创建新材料# 配置材料属性custom_material.set_reflectivity(0.8) # 设置反射率为0.8。

kkchenjj的博客 1249

【大数据·hadoop】在hdfs上运行shell基本常用命令

在Hadoop生态系统中,supergroup 是一个默认的用户组,通常与HDFS的超级用户(即 Hadoop 的管理员账户,类似于 Unix 系统中的 root 用户)关联。超级用户和属于 supergroup 组的用户通常有着对HDFS上所有文件和目录的全权限,这包括读取、写入和执行权限。

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YOLO11涨点优化:卷积魔改 | 可变形条带卷积(DSCN),魔改轻量DCNv3二次创新

如何跟YOLO11结合:1)和C3k2创新性结合

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Outlook Express 6 (OE6) for Win7/Win8/Win10

英文版 Outlook Express6.0, 兼容Win7/Win10/WinXP,解压就可用。

大数据入门之 Hadoop,HDFS,Hbase,Hive

Hadoop:是泛指大数据生态,实际上基本包括 存储(HDFS) + 计算(MapReduce); HDFS: Hadoop分布式文件系统,主要是解决存储的问题; Hbase: 基于Hadoop的高性能nosql数据库; Hive: 最常用的数据仓库;

shufanhao.top Blog 5374

精雕软件(JDpaint) 5.5 绿色版

精雕软件(JDpaint) 5.5 绿色版精雕软件(JDpaint) 5.5 绿色版精雕软件(JDpaint) 5.5 绿色版

【Hadoop】HDFS入门解析

一、Hadoop三大组件 1.HDFS 分布式文件系统 2.MapReduce 分布式离线计算框架 ​3.Yarn 资源调度 1.HDFS 管理者:NameNode 1)作用 1.管理整个文件系统的元数据/名字空间/目录树 2.管理每一个路径/文件所对应的block块信息 3.管理DataNode的心跳日志 项目 2)NameNode元数据持久化的2...

Together 1万+

NTscan扫描工具

ntscan是一个扫描器,可以扫描没有密码和弱密码的共享,先到配置文件中填写猜测的用户名和密码,扫描过程中右侧出现的是扫描日志。

华为的C语言编程规范.pdf

华为技术有限公司内部技术规范。本规范制定了编写C语言程序的基本原则、规则和建议。从代码的清晰、简洁、可测试、安全、程序效率、可移植各个方面对C语言编程作出了具体指导。

Hadoop 大数据启蒙:初识 HDFS

HDFS()是 Hadoop 生态中最核心的组件之一,是为大规模数据存储和高吞吐量数据访问而设计的分布式文件系统。它允许用户将超大文件存储在由普通硬件组成的集群上,具备高容错、横向扩展能力强等特点。项目内容系统定位Hadoop 的分布式文件存储核心组件架构NameNode(主) + DataNode(从)+ Secondary NameNode(辅助)特性高容错、横向扩展、适合大文件、支持副本、多读少写、高吞吐使用建议适合大数据离线处理与分析场景,不适合小文件和实时读写场景。

IT技术学习与工作笔记分享 1705

【快速入门大数据】hadoop和它的hdfs、yarn、mapreduce

文章目录导学大数据概述初识Hadoop概述核心组件HDFS分布式文件系统资源调度系统YARNMapReduce优势发展史生态系统发行版本选择企业应用案例 导学 开发环境 学做镜像 生态圈 目录 实战 分析客户端登录日志 与spring结合使用 扩展及新技术 大数据概述 场景 足球预判分析人物特性 购物推荐 来源 4v特征 量大、种类多、价值密度低、速度快 技术 采集-存储-分析-可视化 技术架构挑战 量大,无法用结构化数据库,关系型数据库 经典数据库没有考虑数据多类别 比如json 实时性的

瑞新の博客:bennyrhys 4628

Hadoop上传文件到HDFS的步骤

随着大数据时代的到来,数据存储和处理变得至关重要。Hadoop作为大数据处理的基石,其分布式文件系统HDFS提供了高效、可靠的数据存储方案。本文旨在简要介绍如何使用Hadoop命令行工具将文件上传到HDFS,为大数据处理提供基础支持。1.启动Hadoop集群。

zwkkkhhh的博客 1万+

大数据之——Hadoop的HDFS、YARN、MapReduce

如何看他们的关系?首先HDFS将【NameNode】部署到一个节点先,分出多个【DataNode】分布到各个节点上,里面分别存储了将总的海量数据分散了的【子数据】,最后还要有一个节点有【Secondary NameNode】来备份【NameNode】的数据;

m0_73991249的博客 3589
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