ubuntu14.04 编译hadoop-2.6.0-cdh5.4.4

1 protocol buffer

sudo apt-get install libprotobuf-dev

asn@hadoop1:~/Desktop$ protoc --version

libprotoc 2.5.0

2 安装CMake

apt-get

										install cmake

asn@hadoop1:~/Desktop$ cmake --version

cmake version 2.8.12.2

3、安装其他依赖

sudo apt-get install zlib1g-dev libssl-dev

4 Snappy压缩

snappy

cd snappy-1.1.2/

sudo ./configure

sudo make

sudo make install

asn@hadoop1:~/snappy-1.1.2$ ls /usr/local/lib | grep snappy

libsnappy.a

libsnappy.la

libsnappy.so

libsnappy.so.1

libsnappy.so.1.2.1

hadoop-snappy

asn@hadoop1:~/hadoop-snappy$ ls -l /usr/bin/gcc

lrwxrwxrwx 1 root root 7 4月 27 22:36 /usr/bin/gcc -> gcc-4.8

asn@hadoop1:~/hadoop-snappy$ sudo rm /usr/bin/gcc

asn@hadoop1:~/hadoop-snappy$ ls -l /usr/bin/gcc

ls: cannot access /usr/bin/gcc: No such file or directory

$ sudo apt-get install gcc-4.4

asn@hadoop1:~/hadoop-snappy$ sudo ln -s /usr/bin/gcc-4.4 /usr/bin/gcc

asn@hadoop1:~/hadoop-snappy$ ls -l /usr/bin/gcc

lrwxrwxrwx 1 root root 16 7月 24 11:30 /usr/bin/gcc -> /usr/bin/gcc-4.4

[exec] make: *** [libhadoopsnappy.la] Error 1

[exec] libtool:

link: gcc -shared -fPIC -DPIC

src/org/apache/hadoop/io/compress/snappy/.libs/SnappyCompressor.o src/org/apache/hadoop/io/compress/snappy/.libs/SnappyDecompressor.o

-L/usr/local/lib -ljvm -ldl -O2 -m64 -O2 -Wl,-soname -Wl,libhadoopsnappy.so.0 -o .libs/libhadoopsnappy.so.0.0.1

这是因为没有把安装jvm的libjvm.so symbolic链接到usr/local/lib。

如果你的系统是64位，可到/root/bin/jdk1.6.0_37/jre/lib/amd64/server/察看libjvm.so 链接到的地方，这里修改如下，使用命令：

$ sudo ln -s /usr/local/jdk1.6.0_45/jre/lib/amd64/server/libjvm.so /usr/local/lib/

问题即可解决。

mvn package

[INFO] ------------------------------------------------------------------------

[INFO] BUILD SUCCESS

[INFO] ------------------------------------------------------------------------

[INFO] Total time: 43.710 s

[INFO] Finished at: 2015-07-24T11:54:09+08:00

[INFO] Final Memory: 23M/359M

[INFO] ------------------------------------------------------------------------

5 findbugs

http://osdn.jp/projects/sfnet_findbugs/downloads/findbugs/3.0.1/findbugs-3.0.1.zip/

asn@hadoop1:~$ unzip -h

UnZip 6.00 of 20 April 2009, by Debian. Original by Info-ZIP.

Usage: unzip [-Z] [-opts[modifiers]] file[.zip] [list] [-x xlist] [-d exdir]

Default action is to extract files in list, except those in xlist, to exdir;

file[.zip] may be a wildcard. -Z => ZipInfo mode ("unzip -Z" for usage).

-p extract files to pipe, no messages -l list files (short format)

-f freshen existing files, create none -t test compressed archive data

-u update files, create if necessary -z display archive comment only

-v list verbosely/show version info -T timestamp archive to latest

-x exclude files that follow (in xlist) -d extract files into exdir

modifiers:

-n never overwrite existing files -q quiet mode (-qq => quieter)

-o overwrite files WITHOUT prompting -a auto-convert any text files

-j junk paths (do not make directories) -aa treat ALL files as text

-U use escapes for all non-ASCII Unicode -UU ignore any Unicode fields

-C match filenames case-insensitively -L make (some) names lowercase

-X restore UID/GID info -V retain VMS version numbers

-K keep setuid/setgid/tacky permissions -M pipe through "more" pager

-O CHARSET specify a character encoding for DOS, Windows and OS/2 archives

-I CHARSET specify a character encoding for UNIX and other archives

See "unzip -hh" or unzip.txt for more help. Examples:

unzip data1 -x joe => extract all files except joe from zipfile data1.zip

unzip -p foo | more => send contents of foo.zip via pipe into program more

unzip -fo foo ReadMe => quietly replace existing ReadMe if archive file newer

asn@hadoop1:~$ sudo unzip findbugs-3.0.1.zip -d /usr/local

配置环境变量

# findbugs

export FINDBUGS_HOME=/usr/local/findbugs-3.0.1

export PATH=$PATH:$FINDBUGS_HOME/bin

5 编译

mvn package -Pdist,native,docs -DskipTests -Dtar

[INFO] --- maven-javadoc-plugin:2.8.1:jar (module-javadocs) @ hadoop-dist ---

[INFO] Building jar: /home/asn/hadoop-2.6.0-cdh5.4.4-src/hadoop-dist/target/hadoop-dist-2.6.0-cdh5.4.4-javadoc.jar

[INFO] ------------------------------------------------------------------------

[INFO] Reactor Summary:

[INFO]

[INFO] Apache Hadoop Main ................................. SUCCESS [ 1.612 s]

[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 0.879 s]

[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 2.210 s]

[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 0.467 s]

[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 2.778 s]

[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 2.803 s]

[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 3.063 s]

[INFO] Apache Hadoop Auth ................................. SUCCESS [ 21.714 s]

[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 4.256 s]

[INFO] Apache Hadoop Common ............................... SUCCESS [03:50 min]

[INFO] Apache Hadoop NFS .................................. SUCCESS [ 5.584 s]

[INFO] Apache Hadoop KMS .................................. SUCCESS [03:47 min]

[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.037 s]

[INFO] Apache Hadoop HDFS ................................. SUCCESS [09:31 min]

[INFO] Apache Hadoop HttpFS ............................... SUCCESS [03:25 min]

[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [ 6.757 s]

[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 3.637 s]

[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.207 s]

[INFO] hadoop-yarn ........................................ SUCCESS [ 0.231 s]

[INFO] hadoop-yarn-api .................................... SUCCESS [01:21 min]

[INFO] hadoop-yarn-common ................................. SUCCESS [ 21.180 s]

[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.089 s]

[INFO] hadoop-yarn-server-common .......................... SUCCESS [ 8.697 s]

[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [ 18.131 s]

[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 2.802 s]

[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 6.952 s]

[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [ 18.398 s]

[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 1.072 s]

[INFO] hadoop-yarn-client ................................. SUCCESS [ 4.769 s]

[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.062 s]

[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 2.625 s]

[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 1.906 s]

[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.088 s]

[INFO] hadoop-yarn-registry ............................... SUCCESS [ 4.753 s]

[INFO] hadoop-yarn-project ................................ SUCCESS [ 5.611 s]

[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.204 s]

[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [ 16.280 s]

[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [ 15.060 s]

[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 5.416 s]

[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [ 7.769 s]

[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 6.008 s]

[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [ 4.967 s]

[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 1.901 s]

[INFO] hadoop-mapreduce-client-nativetask ................. SUCCESS [01:32 min]

[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 5.513 s]

[INFO] hadoop-mapreduce ................................... SUCCESS [ 5.140 s]

[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 3.647 s]

[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [ 6.701 s]

[INFO] Apache Hadoop Archives ............................. SUCCESS [ 2.504 s]

[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 5.215 s]

[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 3.454 s]

[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 2.347 s]

[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 2.068 s]

[INFO] Apache Hadoop Extras ............................... SUCCESS [ 2.509 s]

[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 12.185 s]

[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 5.989 s]

[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [01:17 min]

[INFO] Apache Hadoop Azure support ........................ SUCCESS [ 26.187 s]

[INFO] Apache Hadoop Client ............................... SUCCESS [ 13.386 s]

[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 2.447 s]

[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 6.560 s]

[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 11.723 s]

[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.126 s]

[INFO] Apache Hadoop Distribution ......................... SUCCESS [03:02 min]

[INFO] ------------------------------------------------------------------------

[INFO] BUILD SUCCESS

[INFO] ------------------------------------------------------------------------

[INFO] Total time: 33:22 min

[INFO] Finished at: 2015-07-24T15:56:25+08:00

[INFO] Final Memory: 230M/791M

[INFO] ------------------------------------------------------------------------

6 导入hadoop项目到eclipse

安装hadoop-maven-plugins插件

$ cd hadoop-maven-plugins

$ mvn install

2）在hadoop-2.6.0-cdh5.4.4-src目录下执行

mvn eclipse:eclipse -DskipTests

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4-src$ mvn org.apache.maven.plugins:maven-eclipse-plugin:2.6:eclipse-DdownloadJavadocs=true

Javadoc for some artifacts is not available.

Please run the same goal with the -DdownloadJavadocs=true parameter in order to check remote repositories for javadoc.

main:

[INFO] Executed tasks

[INFO]

[INFO] --- maven-remote-resources-plugin:1.0:process (default) @ hadoop-dist ---

[INFO] inceptionYear not specified, defaulting to 2015

[INFO]

[INFO] <<< maven-eclipse-plugin:2.6:eclipse (default-cli) < generate-resources @ hadoop-dist <<<

[INFO]

[INFO] --- maven-eclipse-plugin:2.6:eclipse (default-cli) @ hadoop-dist ---

[INFO] Using Eclipse Workspace: null

[INFO] Adding default classpath container: org.eclipse.jdt.launching.JRE_CONTAINER

[INFO] Wrote settings to /home/asn/hadoop-2.6.0-cdh5.4.4-src/hadoop-dist/.settings/org.eclipse.jdt.core.prefs

[INFO] Wrote Eclipse project for "hadoop-dist" to /home/asn/hadoop-2.6.0-cdh5.4.4-src/hadoop-dist.

[INFO]

[INFO] ------------------------------------------------------------------------

[INFO] Reactor Summary:

[INFO]

[INFO] Apache Hadoop Main ................................. SUCCESS [ 0.959 s]

[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 0.468 s]

[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 0.239 s]

[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 0.129 s]

[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 0.109 s]

[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 0.957 s]

[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 3.097 s]

[INFO] Apache Hadoop Auth ................................. SUCCESS [ 1.904 s]

[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 0.442 s]

[INFO] Apache Hadoop Common ............................... SUCCESS [ 1.475 s]

[INFO] Apache Hadoop NFS .................................. SUCCESS [ 0.690 s]

[INFO] Apache Hadoop KMS .................................. SUCCESS [ 1.199 s]

[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.035 s]

[INFO] Apache Hadoop HDFS ................................. SUCCESS [ 1.738 s]

[INFO] Apache Hadoop HttpFS ............................... SUCCESS [ 1.294 s]

[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [ 0.448 s]

[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 0.369 s]

[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.040 s]

[INFO] hadoop-yarn ........................................ SUCCESS [ 0.038 s]

[INFO] hadoop-yarn-api .................................... SUCCESS [ 0.714 s]

[INFO] hadoop-yarn-common ................................. SUCCESS [ 0.370 s]

[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.030 s]

[INFO] hadoop-yarn-server-common .......................... SUCCESS [ 0.423 s]

[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [ 0.576 s]

[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 0.416 s]

[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 0.499 s]

[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [ 0.707 s]

[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 0.870 s]

[INFO] hadoop-yarn-client ................................. SUCCESS [ 0.444 s]

[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.029 s]

[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 0.347 s]

[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 0.357 s]

[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.037 s]

[INFO] hadoop-yarn-registry ............................... SUCCESS [ 0.620 s]

[INFO] hadoop-yarn-project ................................ SUCCESS [ 0.445 s]

[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.125 s]

[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [ 1.548 s]

[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [ 0.960 s]

[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 0.905 s]

[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [ 0.814 s]

[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 0.975 s]

[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [ 0.699 s]

[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 0.446 s]

[INFO] hadoop-mapreduce-client-nativetask ................. SUCCESS [ 0.470 s]

[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 0.786 s]

[INFO] hadoop-mapreduce ................................... SUCCESS [ 0.197 s]

[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 0.127 s]

[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [04:15 min]

[INFO] Apache Hadoop Archives ............................. SUCCESS [ 0.157 s]

[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 0.174 s]

[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 6.043 s]

[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 0.159 s]

[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 0.104 s]

[INFO] Apache Hadoop Extras ............................... SUCCESS [ 0.126 s]

[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 0.044 s]

[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 0.500 s]

[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [03:11 min]

[INFO] Apache Hadoop Azure support ........................ SUCCESS [ 19.169 s]

[INFO] Apache Hadoop Client ............................... SUCCESS [04:05 min]

[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 1.293 s]

[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 4.901 s]

[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 11.164 s]

[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.027 s]

[INFO] Apache Hadoop Distribution ......................... SUCCESS [ 0.109 s]

[INFO] ------------------------------------------------------------------------

[INFO] BUILD SUCCESS

[INFO] ------------------------------------------------------------------------

[INFO] Total time: 12:50 min

[INFO] Finished at: 2015-07-24T19:45:50+08:00

[INFO] Final Memory: 118M/521M

[INFO] ------------------------------------------------------------------------

7 单机伪分布

1)etc配置

core-site.xml

<name>fs.defaultFS</name>

<value>hdfs://localhost:9000</value>

</property>

<name>hadoop.tmp.dir</name>

</property>

</configuration>

hdfs-site.xml

<name>dfs.namenode.name.dir</name>

</property>

<name>dfs.datanode.data.dir</name>

</property>

<name>dfs.replication</name>

</property>

<name>dfs.webhdfs.enabled</name>

</property>

</configuration>

2) 格式化namenode

$ bin/hdfs namenode -format

3) 启动NameNode和DataNode后台进程

$ sbin/start-dfs.sh

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ sbin/start-dfs.sh

Starting namenodes on [localhost]

localhost: starting namenode, logging to /home/asn/hadoop-2.6.0-cdh5.4.4/logs/hadoop-asn-namenode-hadoop1.out

localhost: datanode running as process 44763. Stop it first.

Starting secondary namenodes [0.0.0.0]

0.0.0.0: secondarynamenode running as process 44939. Stop it first.

4) 运行例子grep

$ bin/hdfs dfs -mkdir /user

$ bin/hdfs dfs -mkdir /user/asn

$ bin/hdfs dfs -put etc/hadoop input

$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.4.4.jar grep input output 'dfs[a-z.]+'

5) 查看结果

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ bin/hdfs dfs -get output output ##从hdfs文件系统中拷贝输出文件到本地

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ ls

bin etc include lib libexec LICENSE.txt logs NOTICE.txt output README.txt sbin share

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ ls output

part-r-00000 _SUCCESS

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ cat output/* ##查看计算结果

6 dfs.audit.logger

4 dfs.class

3 dfs.server.namenode.

2 dfs.audit.log.maxfilesize

2 dfs.audit.log.maxbackupindex

2 dfs.period

1 dfsmetrics.log

1 dfsadmin

1 dfs.webhdfs.enabled

1 dfs.servers

1 dfs.replication

1 dfs.file

1 dfs.datanode.data.dir

1 dfs.namenode.name.dir

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ bin/hdfs dfs -cat output/* ##查看hdfs文件系统上的计算结果

6 dfs.audit.logger

4 dfs.class

3 dfs.server.namenode.

2 dfs.audit.log.maxfilesize

2 dfs.audit.log.maxbackupindex

2 dfs.period

1 dfsmetrics.log

1 dfsadmin

1 dfs.webhdfs.enabled

1 dfs.servers

1 dfs.replication

1 dfs.file

1 dfs.datanode.data.dir

1 dfs.namenode.name.dir

8 端口总结

dfs.namenode.http-address

0.0.0.0:50070

The address and the base port where the dfs namenode web ui will listen on.

分布式文件系统NameNode节点web ui界面的监听端口

dfs.namenode.secondary.http-address

0.0.0.0:50090

The secondary namenode http server address and port.

dfs.datanode.http.address

0.0.0.0:50075

The datanode http server address and port.

dfs文件系统服务暴露在9000端口

重新生成ssh-key时，报错处理

asn@hadoop1:~/hadoop-2.6.0-cdh5.4.4$ ssh localhost

Agent admitted failure to sign using the key.

解决办法

在当前用户下执行命令：

ssh-add

ubuntu14.04 编译hadoop-2.6.0-cdh5.4.4的更多相关文章

linux编译64bitHadoop (eg: ubuntu14.04 and hadoop 2.3.0)
Hadoop官网提供的编译好的hadoop-2.3.0.tar.gz二进制包是在32位系统上编译的,在64系统上运行会有一些错误,比如: WARN util.NativeCodeLoader: Una ...
ubuntu14.04 编译安装gcc-5.3.0
最近编译个源码,要求对C++14的支持了,就GCC的编译安装最新的5.3.0,整个过程以root用户进行. 1.下载GCC源码,属于事后文档整理,已经不知道从哪下载了. 2.解压:tar -zxvf ...
Ubuntu14.04用apt在线/离线安装CDH5.1.2[Apache Hadoop 2.3.0]
目录 [TOC] 1.CDH介绍 1.1.什么是CDH和CM? CDH一个对Apache Hadoop的集成环境的封装,可以使用Cloudera Manager进行自动化安装. Cloudera-Ma ...
Ubuntu14.04编译安装mysql5.6.26
Ubuntu14.04编译安装mysql5.6.26 (1)安装编译源码需要的包 sudo apt-get install make cmake gcc g++ bison libncurses5-d ...
二、Ubuntu14.04下安装Hadoop2.4.0 （伪分布模式）
在Ubuntu14.04下安装Hadoop2.4.0 (单机模式)基础上配置一.配置core-site.xml /usr/local/hadoop/etc/hadoop/core-site.xml ...
Torch，Tensorflow使用： Ubuntu14.04（x64）+ CUDA8.0 安装 Torch和Tensorflow
系统配置: Ubuntu14.04(x64) CUDA8.0 cudnn-8.0-linux-x64-v5.1.tgz(Tensorflow依赖) Anaconda 1. Torch安装 Torch是 ...
mac OS X Yosemite 上编译hadoop 2.6.0/2.7.0及TEZ 0.5.2/0.7.0 注意事项
1.jdk 1.7问题 hadoop 2.7.0必须要求jdk 1.7.0,而oracle官网已经声明,jdk 1.7 以后不准备再提供更新了,所以趁现在还能下载,赶紧去down一个mac版吧 htt ...
64位CentOS上编译 Hadoop 2.2.0
下载了Hadoop预编译好的二进制包,hadoop-2.2.0.tar.gz,启动起来后.总是出现这样的警告: WARN util.NativeCodeLoader: Unable to load n ...
Ubuntu 12.04下Hadoop 2.2.0 集群搭建（原创）
现在大家可以跟我一起来实现Ubuntu 12.04下Hadoop 2.2.0 集群搭建,在这里我使用了两台服务器,一台作为master即namenode主机,另一台作为slave即datanode主机 ...
在docker容器中编译hadoop 3.1.0
在docker容器中编译hadoop 3.1.0 优点:docker安装好之后可以一键部署编译环境,不用担心各种库不兼容等问题,编译失败率低. Hadoop 3.1.0 的源代码目录下有一个 `sta ...

随机推荐

Vue2.0史上最全入坑教程（下）—— 实战案例
书接上文前言:经过前两节的学习,我们已经可以创建一个vue工程了.下面我们将一起来学习制作一个简单的实战案例. 说明:默认我们已经用vue-cli(vue脚手架或称前端自动化构建工具)创建好项目了 ...
Vue项目中出现Loading chunk {n} failed问题的解决方法
最近有个Vue项目中会偶尔出现Loading chunk {n} failed的报错,报错来自于webpack进行code spilt之后某些bundle文件lazy loading失败.但是这个问题 ...
day38 19-Spring整合web开发
整合Spring开发环境只需要引入spring-web-3.2.0.RELEASE.jar这个jar包就可以了,因为它已经帮我们做好了. Spring整合web开发,不用每次都加载Spring环境了. ...
制作ACK集群自定义节点镜像的正确姿势
随着云原生时代的到来,用户应用.业务上云的需求也越来越多,不同的业务场景对容器平台的需求也不尽相同,其中一个非常重要的需求就是使用自定义镜像创建ACK集群. ACK支持用户使用自定义镜像创建Kuber ...
windows下MySQL 5.7.19版本sql_mode=only_full_group_by问题
用到GROUP BY 语句查询时出现 which is not functionally dependent on columns in GROUP BY clause; this is incomp ...
SPSS操作:轻松实现1:1倾向性评分匹配(PSM)
SPSS操作:轻松实现1:1倾向性评分匹配(PSM) 谈起临床研究,如何设立一个靠谱的对照,有时候成为整个研究成败的关键.对照设立的一个非常重要的原则就是可比性,简单说就是对照组除了研究因素外,其他的 ...
【JZOJ3824】【NOIP2014模拟9.9】渴
SLAF 世界干涸,Zyh认为这个世界的人们离不开水,于是身为神的他要将他掌控的仅仅两个水源地放置在某两个不同的城市.这个世界的城市因为荒芜,他们仅仅保留了必要的道路,也就是说对于任意两个城市有且仅有 ...
PyChram创建虚拟环境
目录 1. python创建虚拟环境 2. pycharm中添加python虚拟环境 1. python创建虚拟环境首先要安装virtualenv模块.打开命令行,输入pip install vir ...
【记录bug】npm WARN optional SKIPPING OPTIONAL DEPENDENCY: fsevents@1.2.7 (node_modules\fsvents): npm WARN notsup SKIPPING OPTIONAL DEPENDENCY: Unsupported platform for fsevents1.2.7: wanted {"os":"darwin
npm WARN optional SKIPPING OPTIONAL DEPENDENCY: fsevents@1.2.7 (node_modules\fsvents): npm WARN nots ...
chrome://inspect调试html页面空白，DOM无法加载的解决方案
chrome://inspect调试html页面空白,DOM无法加载的解决方案先描述一下问题有一段时间没碰huilder hybird app 开发了,今天调试的时候 chrome://inspe ...

ubuntu14.04 编译hadoop-2.6.0-cdh5.4.4

ubuntu14.04 编译hadoop-2.6.0-cdh5.4.4的更多相关文章

随机推荐

热门专题