- 浏览: 41782 次
- 性别:
- 来自: 北京
文章分类
- 全部博客 (76)
- Dojo 组件 (1)
- 数据库 (7)
- Maven (3)
- 负载均衡 (4)
- Java (12)
- 多线程 (4)
- Spring (3)
- Java缓存 (3)
- 高并发 (3)
- 热部署 (2)
- 大数据 (3)
- 分布式 (1)
- Linux (4)
- 云计算 (1)
- Eclipse (2)
- Tomcat (2)
- Shell (1)
- Python (1)
- 测试 (3)
- 算法与数据结构 (1)
- 设计模式 (1)
- JQuery (1)
- Nginx (1)
- 开发工具 (7)
- JMS (2)
- CI 持续集成 (2)
- Java UI (0)
- UI (1)
- Jenkins (1)
- Ibatis (1)
- Hadoop (1)
- Zookeeper (1)
- Redis (1)
开始安装Hadoop
下载Hadoop
http://apache.01link.hk/hadoop/common/stable/
Cygwin 安装
http://v-lad.org/Tutorials/Hadoop/03%20-%20Prerequistes.html
非常靠谱的hadoop install安装过程
http://mysolvedproblem.blogspot.hk/2012/05/installing-hadoop-on-ubuntu-linux-on.html
1. Installing Sun JDK 1.6: Installing JDK is a required step to install Hadoop. You can follow the steps in my previous post.
2. Adding a dedicated Hadoop system user: You will need a user for hadoop system you will install. To create a new user "hduser" in a group called "hadoop", run the following commands in your terminal:
$sudo addgroup hadoop
$sudo adduser --ingroup hadoop hduser
3.Configuring SSH: in Michael Blog, he assumed that the SSH is already installed. But if you didn't install SSH server before, you can run the following command in your terminal: By this command, you will have installed ssh server on your machine, the port is 22 by default.
$sudo apt-get install openssh-server
We have installed SSH because Hadoop requires access to localhost (in case single node cluster) or communicates with remote nodes (in case multi-node cluster).After this step, you will need to generate SSH key for hduser (and the users you need to administer Hadoop if any) by running the following commands, but you need first to switch to hduser:
$su - hduser
$ssh-keygen -t rsa -P ""
To be sure that SSH installation is went well, you can open a new terminal and try to create ssh session using hduser by the following command:
$ssh localhost
不是必须
4. Disable IPv6: You will need to disable IP version 6 because Ubuntu is using 0.0.0.0 IP for different Hadoop configurations. You will need to run the following commands using a root account:
$sudo gedit /etc/sysctl.conf
This command will open sysctl.conf in text editor, you can copy the following lines at the end of the file:
#disable ipv6
net.ipv6.conf.all.disable_ipv6 = 1
net.ipv6.conf.default.disable_ipv6 = 1
net.ipv6.conf.lo.disable_ipv6 = 1
You can save the file and close it. If you faced a problem telling you don't have permissions, just remember to run the previous commands by your root account.
These steps required you to reboot your system, but alternatively, you can run the following command to re-initialize the configurations again.
$sudo sysctl -p
To make sure that IPV6 is disabled, you can run the following command:
$cat /proc/sys/net/ipv6/conf/all/disable_ipv6
The printed value should be 1, which means that is disabled.
Installing Hadoop
Now we can download Hadoop to begin installation. Go to Apache Downloads and download Hadoop version 0.20.2. To overcome the security issues, you can download the tar file in hduser directory, for example, /home/hduser. Check the following snapshot:
Then you need to extract the tar file and rename the extracted folder to 'hadoop'. Open a new terminal and run the following command:
$ cd /home/hduser
$ sudo tar xzf hadoop-0.20.2.tar.gz
$ sudo mv hadoop-0.20.2 hadoop
Please note if you want to grant access for another hadoop admin user (e.g. hduser2), you have to grant read permission to folder /home/hduser using the following command:
sudo chown -R hduser2:hadoop hadoop
Update $HOME/.bashrc
You will need to update the .bachrc for hduser (and for every user you need to administer Hadoop). To open .bachrc file, you will need to open it as root:
$sudo gedit /home/hduser/.bashrc
Then you will add the following configurations at the end of .bachrc file
# Set Hadoop-related environment variables
export HADOOP_HOME=/home/hduser/hadoop
# Set JAVA_HOME (we will also configure JAVA_HOME directly for Hadoop later on)
export JAVA_HOME=/usr/lib/jvm/java-6-sun
# Some convenient aliases and functions for running Hadoop-related commands
unalias fs &> /dev/null
alias fs="hadoop fs"
unalias hls &> /dev/null
alias hls="fs -ls"
# If you have LZO compression enabled in your Hadoop cluster and
# compress job outputs with LZOP (not covered in this tutorial):
# Conveniently inspect an LZOP compressed file from the command
# line; run via:
#
# $ lzohead /hdfs/path/to/lzop/compressed/file.lzo
#
# Requires installed 'lzop' command.
#
lzohead () {
hadoop fs -cat $1 | lzop -dc | head -1000 | less
}
# Add Hadoop bin/ directory to PATH
export PATH=$PATH:$HADOOP_HOME/bin
Hadoop Configuration
Now, we need to configure Hadoop framework on Ubuntu machine. The following are configuration files we can use to do the proper configuration. To know more about hadoop configurations, you can visit this site
hadoop-env.sh
We need only to update the JAVA_HOME variable in this file. Simply you will open this file using a text editor using the following command:
$sudo gedit /home/hduser/hadoop/conf/hadoop-env.sh
Then you will need to change the following line
# export JAVA_HOME=/usr/lib/j2sdk1.5-sun
To
export JAVA_HOME=/usr/lib/jvm/java-6-sun
Note: if you faced "Error: JAVA_HOME is not set" Error while starting the services, then you seems that you forgot toe uncomment the previous line (just remove #).
core-site.xml
First, we need to create a temp directory for Hadoop framework. If you need this environment for testing or a quick prototype (e.g. develop simple hadoop programs for your personal test ...), I suggest to create this folder under /home/hduser/ directory, otherwise, you should create this folder in a shared place under shared folder (like /usr/local ...) but you may face some security issues. But to overcome the exceptions that may caused by security (like java.io.IOException), I have created the tmp folder under hduser space.
To create this folder, type the following command:
$ sudo mkdir /home/hduser/tmp
Please note that if you want to make another admin user (e.g. hduser2 in hadoop group), you should grant him a read and write permission on this folder using the following commands:
$ sudo chown hduser2:hadoop /home/hduser/tmp
$ sudo chmod 755 /home/hduser/tmp
Now, we can open hadoop/conf/core-site.xml to edit the hadoop.tmp.dir entry.
We can open the core-site.xml using text editor:
$sudo gedit /home/hduser/hadoop/conf/core-site.xml
Then add the following configurations between <configuration> .. </configuration> xml elements:
<!-- In: conf/core-site.xml -->
<property>
<name>hadoop.tmp.dir</name>
<value>/home/hduser/tmp</value>
<description>A base for other temporary directories.</description>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:54310</value>
<description>The name of the default file system. A URI whose
scheme and authority determine the FileSystem implementation. The
uri's scheme determines the config property (fs.SCHEME.impl) naming
the FileSystem implementation class. The uri's authority is used to
determine the host, port, etc. for a filesystem.</description>
</property>
mapred-site.xml
We will open the hadoop/conf/mapred-site.xml using a text editor and add the following configuration values (like core-site.xml)
<!-- In: conf/mapred-site.xml -->
<property>
<name>mapred.job.tracker</name>
<value>localhost:54311</value>
<description>The host and port that the MapReduce job tracker runs
at. If "local", then jobs are run in-process as a single map
and reduce task.
</description>
</property>
hdfs-site.xml
Open hadoop/conf/hdfs-site.xml using a text editor and add the following configurations:
<!-- In: conf/hdfs-site.xml -->
<property>
<name>dfs.replication</name>
<value>1</value>
<description>Default block replication.
The actual number of replications can be specified when the file is created.
The default is used if replication is not specified in create time.
</description>
</property>
Formatting NameNode
You should format the NameNode in your HDFS. You should not do this step when the system is running. It is usually done once at first time of your installation.
Run the following command
$/home/hduser/hadoop/bin/hadoop namenode -format
Starting Hadoop Cluster
You will need to navigate to hadoop/bin directory and run ./start-all.sh script.
There is a nice tool called jps. You can use it to ensure that all the services are up.
Running an Example (Pi Example)
There are many built-in examples. We can run PI estimator example using the following command:
hduser@ubuntu:~/hadoop/bin$ hadoop jar ../hadoop-0.20.2-examples.jar pi 3 10
If you faced "Incompatible namespaceIDs" Exception you can do the following:
1. Stop all the services (by calling ./stop-all.sh).
2. Delete /tmp/hadoop/dfs/data/*
3. Start all the services.
安装结束
名词:
------ Hadoop namenode
/hadoop/dfs/name is in an inconsistent state .
http://blog.csdn.net/limiteewaltwo/article/details/8565523
conf/core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/home/yangys/hadoop-1.1.2/temp</value>
</property>
<value>的值根据自己的情况调整, 不要使用默认的。
重启hadoop
bin/stop-all.sh
bin/hadoop namenode -format
bin/start-all.sh
bin/start-all.sh问题解决。namenode已经可以启动了。
----- install hadoop
http://blog.csdn.net/shirdrn/article/details/5781776
http://blog.csdn.net/shirdrn/article/details/5781776
http://blog.csdn.net/shirdrn/article/details/5781776
---- org.apache.hadoop.security.AccessControlException: Permission denied: user=xxj, .
error:org.apache.oozie.action.ActionExecutorException: JA002: org.apache.hadoop.security.AccessControlException: Permission denied: user=xxj, access=WRITE, inode="user":hadoop:supergroup:rwxr-xr-x
sulution:added this entry to conf/hdfs-site.xml
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
注意: dfs.permissions
另外如果出现权限问题,也可以通过查看日志信息,然后改变相应目录的权限实现
在仔细查看了/tmp/hadoop-rsync文件夹下面的目录结构后,发现了问题的关键所在:
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -ls /tmp/hadoop-hadoop-user1/mapred/staging
Found 2 items
drwx------ - hadoop-user1 supergroup 0 2011-10-19 18:18 /tmp/hadoop-hadoop-user1/mapred/staging/hadoop-user1
drwx------ - hadoop-user2 supergroup 0 2011-10-27 18:38 /tmp/hadoop-hadoop-user1/mapred/staging/hadoop-user2
原来不同用户提交的作业是在 /tmp/hadoop-hadoop-user1/mapred/staging/目录下以用户名区分,而之前的修改是直接使用-R选项直接修改/tmp/hadoop-rsync目录下的所有权限导致的错误,执行以下权限修改命令:
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/mapred/
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/mapred/staging
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp
hive查询正常。
最近又遇上了这个问题,但是按照上面的方法修改后没能解决,于是查看namenode的日志:
2011-11-29 15:57:09,921 INFO org.apache.hadoop.ipc.Server: IPC Server handler 9 on 9000, call mkdirs(/opt/data/hive-zhaoxiuxiang/hive_2011-11-29_15-57-08_094_4199830510252920639, rwxr-xr-x) from 192.168.1.187:18457: error: org.apache.hadoop.security.AccessControlException: Permission denied: user=zhaoxiuxiang, access=WRITE, inode="data":rsync:supergroup:rwxr-xr-x
发现原来出现权限错误的是目录:/opt/data ,将该目录权限修改为777后错误解决。
附注:不同用户的mapred执行目录必须是700(rwx------)权限
参考:
http://www.linuxidc.com/Linux/2012-12/76703.htm
http://coderbase64.iteye.com/blog/2077697
下载Hadoop
http://apache.01link.hk/hadoop/common/stable/
Cygwin 安装
http://v-lad.org/Tutorials/Hadoop/03%20-%20Prerequistes.html
非常靠谱的hadoop install安装过程
http://mysolvedproblem.blogspot.hk/2012/05/installing-hadoop-on-ubuntu-linux-on.html
1. Installing Sun JDK 1.6: Installing JDK is a required step to install Hadoop. You can follow the steps in my previous post.
2. Adding a dedicated Hadoop system user: You will need a user for hadoop system you will install. To create a new user "hduser" in a group called "hadoop", run the following commands in your terminal:
$sudo addgroup hadoop
$sudo adduser --ingroup hadoop hduser
3.Configuring SSH: in Michael Blog, he assumed that the SSH is already installed. But if you didn't install SSH server before, you can run the following command in your terminal: By this command, you will have installed ssh server on your machine, the port is 22 by default.
$sudo apt-get install openssh-server
We have installed SSH because Hadoop requires access to localhost (in case single node cluster) or communicates with remote nodes (in case multi-node cluster).After this step, you will need to generate SSH key for hduser (and the users you need to administer Hadoop if any) by running the following commands, but you need first to switch to hduser:
$su - hduser
$ssh-keygen -t rsa -P ""
To be sure that SSH installation is went well, you can open a new terminal and try to create ssh session using hduser by the following command:
$ssh localhost
不是必须
4. Disable IPv6: You will need to disable IP version 6 because Ubuntu is using 0.0.0.0 IP for different Hadoop configurations. You will need to run the following commands using a root account:
$sudo gedit /etc/sysctl.conf
This command will open sysctl.conf in text editor, you can copy the following lines at the end of the file:
#disable ipv6
net.ipv6.conf.all.disable_ipv6 = 1
net.ipv6.conf.default.disable_ipv6 = 1
net.ipv6.conf.lo.disable_ipv6 = 1
You can save the file and close it. If you faced a problem telling you don't have permissions, just remember to run the previous commands by your root account.
These steps required you to reboot your system, but alternatively, you can run the following command to re-initialize the configurations again.
$sudo sysctl -p
To make sure that IPV6 is disabled, you can run the following command:
$cat /proc/sys/net/ipv6/conf/all/disable_ipv6
The printed value should be 1, which means that is disabled.
Installing Hadoop
Now we can download Hadoop to begin installation. Go to Apache Downloads and download Hadoop version 0.20.2. To overcome the security issues, you can download the tar file in hduser directory, for example, /home/hduser. Check the following snapshot:
Then you need to extract the tar file and rename the extracted folder to 'hadoop'. Open a new terminal and run the following command:
$ cd /home/hduser
$ sudo tar xzf hadoop-0.20.2.tar.gz
$ sudo mv hadoop-0.20.2 hadoop
Please note if you want to grant access for another hadoop admin user (e.g. hduser2), you have to grant read permission to folder /home/hduser using the following command:
sudo chown -R hduser2:hadoop hadoop
Update $HOME/.bashrc
You will need to update the .bachrc for hduser (and for every user you need to administer Hadoop). To open .bachrc file, you will need to open it as root:
$sudo gedit /home/hduser/.bashrc
Then you will add the following configurations at the end of .bachrc file
# Set Hadoop-related environment variables
export HADOOP_HOME=/home/hduser/hadoop
# Set JAVA_HOME (we will also configure JAVA_HOME directly for Hadoop later on)
export JAVA_HOME=/usr/lib/jvm/java-6-sun
# Some convenient aliases and functions for running Hadoop-related commands
unalias fs &> /dev/null
alias fs="hadoop fs"
unalias hls &> /dev/null
alias hls="fs -ls"
# If you have LZO compression enabled in your Hadoop cluster and
# compress job outputs with LZOP (not covered in this tutorial):
# Conveniently inspect an LZOP compressed file from the command
# line; run via:
#
# $ lzohead /hdfs/path/to/lzop/compressed/file.lzo
#
# Requires installed 'lzop' command.
#
lzohead () {
hadoop fs -cat $1 | lzop -dc | head -1000 | less
}
# Add Hadoop bin/ directory to PATH
export PATH=$PATH:$HADOOP_HOME/bin
Hadoop Configuration
Now, we need to configure Hadoop framework on Ubuntu machine. The following are configuration files we can use to do the proper configuration. To know more about hadoop configurations, you can visit this site
hadoop-env.sh
We need only to update the JAVA_HOME variable in this file. Simply you will open this file using a text editor using the following command:
$sudo gedit /home/hduser/hadoop/conf/hadoop-env.sh
Then you will need to change the following line
# export JAVA_HOME=/usr/lib/j2sdk1.5-sun
To
export JAVA_HOME=/usr/lib/jvm/java-6-sun
Note: if you faced "Error: JAVA_HOME is not set" Error while starting the services, then you seems that you forgot toe uncomment the previous line (just remove #).
core-site.xml
First, we need to create a temp directory for Hadoop framework. If you need this environment for testing or a quick prototype (e.g. develop simple hadoop programs for your personal test ...), I suggest to create this folder under /home/hduser/ directory, otherwise, you should create this folder in a shared place under shared folder (like /usr/local ...) but you may face some security issues. But to overcome the exceptions that may caused by security (like java.io.IOException), I have created the tmp folder under hduser space.
To create this folder, type the following command:
$ sudo mkdir /home/hduser/tmp
Please note that if you want to make another admin user (e.g. hduser2 in hadoop group), you should grant him a read and write permission on this folder using the following commands:
$ sudo chown hduser2:hadoop /home/hduser/tmp
$ sudo chmod 755 /home/hduser/tmp
Now, we can open hadoop/conf/core-site.xml to edit the hadoop.tmp.dir entry.
We can open the core-site.xml using text editor:
$sudo gedit /home/hduser/hadoop/conf/core-site.xml
Then add the following configurations between <configuration> .. </configuration> xml elements:
<!-- In: conf/core-site.xml -->
<property>
<name>hadoop.tmp.dir</name>
<value>/home/hduser/tmp</value>
<description>A base for other temporary directories.</description>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:54310</value>
<description>The name of the default file system. A URI whose
scheme and authority determine the FileSystem implementation. The
uri's scheme determines the config property (fs.SCHEME.impl) naming
the FileSystem implementation class. The uri's authority is used to
determine the host, port, etc. for a filesystem.</description>
</property>
mapred-site.xml
We will open the hadoop/conf/mapred-site.xml using a text editor and add the following configuration values (like core-site.xml)
<!-- In: conf/mapred-site.xml -->
<property>
<name>mapred.job.tracker</name>
<value>localhost:54311</value>
<description>The host and port that the MapReduce job tracker runs
at. If "local", then jobs are run in-process as a single map
and reduce task.
</description>
</property>
hdfs-site.xml
Open hadoop/conf/hdfs-site.xml using a text editor and add the following configurations:
<!-- In: conf/hdfs-site.xml -->
<property>
<name>dfs.replication</name>
<value>1</value>
<description>Default block replication.
The actual number of replications can be specified when the file is created.
The default is used if replication is not specified in create time.
</description>
</property>
Formatting NameNode
You should format the NameNode in your HDFS. You should not do this step when the system is running. It is usually done once at first time of your installation.
Run the following command
$/home/hduser/hadoop/bin/hadoop namenode -format
Starting Hadoop Cluster
You will need to navigate to hadoop/bin directory and run ./start-all.sh script.
There is a nice tool called jps. You can use it to ensure that all the services are up.
Running an Example (Pi Example)
There are many built-in examples. We can run PI estimator example using the following command:
hduser@ubuntu:~/hadoop/bin$ hadoop jar ../hadoop-0.20.2-examples.jar pi 3 10
If you faced "Incompatible namespaceIDs" Exception you can do the following:
1. Stop all the services (by calling ./stop-all.sh).
2. Delete /tmp/hadoop/dfs/data/*
3. Start all the services.
安装结束
名词:
------ Hadoop namenode
/hadoop/dfs/name is in an inconsistent state .
http://blog.csdn.net/limiteewaltwo/article/details/8565523
conf/core-site.xml
<property>
<name>hadoop.tmp.dir</name>
<value>/home/yangys/hadoop-1.1.2/temp</value>
</property>
<value>的值根据自己的情况调整, 不要使用默认的。
重启hadoop
bin/stop-all.sh
bin/hadoop namenode -format
bin/start-all.sh
bin/start-all.sh问题解决。namenode已经可以启动了。
----- install hadoop
http://blog.csdn.net/shirdrn/article/details/5781776
http://blog.csdn.net/shirdrn/article/details/5781776
http://blog.csdn.net/shirdrn/article/details/5781776
---- org.apache.hadoop.security.AccessControlException: Permission denied: user=xxj, .
error:org.apache.oozie.action.ActionExecutorException: JA002: org.apache.hadoop.security.AccessControlException: Permission denied: user=xxj, access=WRITE, inode="user":hadoop:supergroup:rwxr-xr-x
sulution:added this entry to conf/hdfs-site.xml
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
注意: dfs.permissions
另外如果出现权限问题,也可以通过查看日志信息,然后改变相应目录的权限实现
在仔细查看了/tmp/hadoop-rsync文件夹下面的目录结构后,发现了问题的关键所在:
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -ls /tmp/hadoop-hadoop-user1/mapred/staging
Found 2 items
drwx------ - hadoop-user1 supergroup 0 2011-10-19 18:18 /tmp/hadoop-hadoop-user1/mapred/staging/hadoop-user1
drwx------ - hadoop-user2 supergroup 0 2011-10-27 18:38 /tmp/hadoop-hadoop-user1/mapred/staging/hadoop-user2
原来不同用户提交的作业是在 /tmp/hadoop-hadoop-user1/mapred/staging/目录下以用户名区分,而之前的修改是直接使用-R选项直接修改/tmp/hadoop-rsync目录下的所有权限导致的错误,执行以下权限修改命令:
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/mapred/
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/mapred/staging
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp/hadoop-hadoop-user1/
[hadoop-user1@oser-624 hadoop-0.20.203.0]$ bin/hadoop fs -chmod 777 /tmp
hive查询正常。
最近又遇上了这个问题,但是按照上面的方法修改后没能解决,于是查看namenode的日志:
2011-11-29 15:57:09,921 INFO org.apache.hadoop.ipc.Server: IPC Server handler 9 on 9000, call mkdirs(/opt/data/hive-zhaoxiuxiang/hive_2011-11-29_15-57-08_094_4199830510252920639, rwxr-xr-x) from 192.168.1.187:18457: error: org.apache.hadoop.security.AccessControlException: Permission denied: user=zhaoxiuxiang, access=WRITE, inode="data":rsync:supergroup:rwxr-xr-x
发现原来出现权限错误的是目录:/opt/data ,将该目录权限修改为777后错误解决。
附注:不同用户的mapred执行目录必须是700(rwx------)权限
参考:
http://www.linuxidc.com/Linux/2012-12/76703.htm
http://coderbase64.iteye.com/blog/2077697
相关推荐
Hadoop是Apache软件基金会开发的一个开源分布式计算框架,它的核心设计是解决大数据处理的问题。Hadoop 2.7.4是Hadoop发展过程中的一个重要版本,它提供了许多增强特性和稳定性改进,使得大规模数据处理更加高效和...
Hadoop 是一个处理、存储和分析海量的分布式、非结构化数据的开源框架。最初由 Yahoo 的工程师 Doug Cutting 和 Mike Cafarella Hadoop 是一个处理、存储和分析海量的分布式、非结构化数据的开源框架。最初由 Yahoo...
在windows环境下开发hadoop时,需要配置HADOOP_HOME环境变量,变量值D:\hadoop-common-2.7.3-bin-master,并在Path追加%HADOOP_HOME%\bin,有可能出现如下错误: org.apache.hadoop.io.nativeio.NativeIO$Windows....
Hadoop是一个由Apache基金会所开发的分布式系统基础架构。用户可以在不了解分布式底层细节的情况下,开发分布式程序。充分利用集群的威力进 Hadoop是一个由Apache基金会所开发的分布式系统基础架构。用户可以在不...
在IT行业中,Hadoop是一个广泛使用的开源框架,主要用于大数据处理和分布式存储。Hadoop 2.7.3是这个框架的一个稳定版本,它包含了多个改进和优化,以提高性能和稳定性。在这个版本中,Winutils.exe和hadoop.dll是两...
此文件为hadoop-2.7.7.tar.gz,可在linux下直接进行安装,如在windows上安装,则需要hadooponwindows-master.zip,用windows-master里的文件替换解压好后hadoop的bin和etc即可。Hadoop 2.7.7是一款开源的分布式计算...
Apache Hadoop (hadoop-3.3.4.tar.gz)项目为可靠、可扩展的分布式计算开发开源软件。官网下载速度非常缓慢,因此将hadoop-3.3.4 版本放在这里,欢迎大家来下载使用! Hadoop 架构是一个开源的、基于 Java 的编程...
Apache Hadoop是一个开源框架,主要用于分布式存储和计算大数据集。Hadoop 3.1.0是这个框架的一个重要版本,提供了许多性能优化和新特性。在Windows环境下安装和使用Hadoop通常比在Linux上更为复杂,因为Hadoop最初...
在IT行业中,Hadoop是一个广泛使用的开源框架,主要用于大数据处理和分布式存储。标题"hadop2.7.x_winutils_exe&&hadoop_dll"暗示我们关注的是Hadoop 2.7.x版本在Windows环境下的两个关键组件:`winutils.exe`和`...
在IT行业中,Hadoop是一个广泛使用的开源框架,主要用于大数据处理和分布式存储。Hadoop 2.7.3是Hadoop发展中的一个重要版本,它包含了众多的优化和改进,旨在提高性能、稳定性和易用性。在这个版本中,`hadoop.dll`...
在Hadoop生态系统中,Hadoop 2.7.7是一个重要的版本,它为大数据处理提供了稳定性和性能优化。Hadoop通常被用作Linux环境下的分布式计算框架,但有时开发者或学习者在Windows环境下也需要进行Hadoop相关的开发和测试...
在Windows环境下安装Hadoop 3.1.0是学习和使用大数据处理技术的重要步骤。Hadoop是一个开源框架,主要用于分布式存储和处理大规模数据集。在这个过程中,我们将详细讲解Hadoop 3.1.0在Windows上的安装过程以及相关...
标题 "hadoop2.6 hadoop.dll+winutils.exe" 提到的是Hadoop 2.6版本中的两个关键组件:`hadoop.dll` 和 `winutils.exe`,这两个组件对于在Windows环境中配置和运行Hadoop至关重要。Hadoop原本是为Linux环境设计的,...
在Hadoop生态系统中,`hadoop.dll`和`winutils.exe`是两个关键组件,尤其对于Windows用户来说,它们在本地开发和运行Hadoop相关应用时必不可少。`hadoop.dll`是一个动态链接库文件,主要用于在Windows环境中提供...
在大数据处理领域,Hadoop是一个不可或缺的开源框架,它提供了分布式存储和计算的能力。本文将详细探讨与"Hadoop.dll"和"winutils.exe"相关的知识点,以及它们在Hadoop-2.7.1版本中的作用。 Hadoop.dll是Hadoop在...
在IT行业中,Hadoop是一个广泛使用的开源框架,主要用于大数据处理和分布式存储。Hadoop2.6.0是这个框架的一个重要版本,它包含了多项优化和改进,以提高系统的稳定性和性能。在这个压缩包中,我们关注的是与Windows...
在Hadoop生态系统中,`winutils.exe`和`hadoop.dll`是Windows环境下运行Hadoop必备的组件,尤其对于开发和测试环境来说至关重要。这里我们深入探讨这两个组件以及与Eclipse插件的相关性。 首先,`winutils.exe`是...
Hadoop是一个开源的分布式计算框架,由Apache基金会开发,它主要设计用于处理和存储大量数据。在提供的信息中,我们关注的是"Hadoop的dll文件",这是一个动态链接库(DLL)文件,通常在Windows操作系统中使用,用于...
Hadoop源码分析是深入理解Hadoop分布式计算平台原理的起点,通过源码分析,可以更好地掌握Hadoop的工作机制、关键组件的实现方式和内部通信流程。Hadoop项目包括了多个子项目,其中最核心的是HDFS和MapReduce,这两...