CDH版本大數據集羣下搭建Hue（hadoop-2.6.0-cdh5.5.4.gz + hue-3.9.0-cdh5.5.4.tar.gz）（博主推薦）
很少說，直接上乾貨！html
個人集羣機器狀況是 bigdatamaster（192.168.80.10）、bigdataslave1（192.168.80.11）和bigdataslave2（192.168.80.12）java
而後，安裝目錄是在/home/hadoop/app下。node
官方建議在master機器上安裝Hue，我這裏也不例外。安裝在bigdatamaster機器上。python
Hue版本：hue-3.9.0-cdh5.5.4
須要編譯才能使用（聯網）
說給你們的話：你們電腦的配置好的話，必定要安裝cloudera manager。畢竟是一家人的。廢話很少說，由於我目前讀研，本身筆記本電腦最大8G，只能玩手動來練手。
純粹是爲了給身邊沒高配且條件有限的學生黨看的！ 但我已經在實驗室機器羣裏搭建好cloudera manager 以及 ambari都有。
大數據領域兩大最主流集羣管理工具Ambari和Cloudera Manger
CentOS6.5下Cloudera安裝搭建部署大數據集羣（圖文分五大步詳解）（博主強烈推薦）
CentOS6.5下Ambari安裝搭建部署大數據集羣（圖文分五大步詳解）（博主強烈推薦）
Ubuntu14.04下Ambari安裝搭建部署大數據集羣（圖文分五大步詳解）（博主強烈推薦）
Ubuntu14.04下Cloudera安裝搭建部署大數據集羣（圖文分五大步詳解）（博主強烈推薦）（在線或離線）
由於，這篇博客，我是以CentOS爲例的。
http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.4/manual.html#_install_hue
其實，其餘系統如Ubuntu而言，就是這些依賴安裝有些區別而已。這裏，你們自行去看官網吧！mysql
1、hue-3.9.0-cdh5.5.4.tar.gz的下載地址linux
http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.4.tar.gz
2、在安裝Hue以前，須要安裝各類依賴包c++
ant
asciidoc
cyrus-sasl-devel
cyrus-sasl-gssapi
gcc
gcc-c++
krb5-devel
libtidy (for unit tests only)
libxml2-devel
libxslt-devel
make
mvn (from ``maven`` package or maven3 tarball)
MySQL（能夠不用安裝）（固然，我在安裝Hive時，已經在bigdatamaster這臺機器就安裝了MySQL）
mysql-devel （能夠不用安裝）（固然，我在安裝Hive時，已經在bigdatamaster這臺機器就安裝了MySQL）
openldap-devel
Python-devel
sqlite-devel
openssl-devel (for version 7+)
gmp-develgit
或者github
ant asciidoc cyrus-sasl-devel cyrus-sasl-gssapi gcc gcc-c++ krb5-devel libtidy (for unit tests only) libxml2-devel libxslt-devel
make mvn (from maven package or maven3 tarball) mysql （我這裏不安裝了，由於在hive那邊已經安裝了） mysql-devel (我這裏不安裝了，由於在hive那邊已經安裝了） openldap-devel python-devel sqlite-devel openssl-devel (for version 7+)
gmp-devel
檢查系統上有沒有上述的那些包web
rpm -qa | grep package_name
注意，不是上述的用法，是具體的。
[hadoop@bigdatamaster app]$ rpm -qa | grep ant wpa_supplicant-0.7.3-4.el6_3.x86_64 anthy-9100h-10.1.el6.x86_64 ibus-anthy-1.2.1-3.el6.x86_64 enchant-1.5.0-4.el6.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep asciidoc [hadoop@bigdatamaster app]$ rpm -qa | grep cyrus-sasl-devel [hadoop@bigdatamaster app]$ rpm -qa | grep gcc libgcc-4.4.7-4.el6.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep gcc-c++ [hadoop@bigdatamaster app]$ rpm -qa | grep krb5-devel krb5-devel-1.10.3-65.el6.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep libtidy [hadoop@bigdatamaster app]$ rpm -qa | grep libxml2-devel [hadoop@bigdatamaster app]$ rpm -qa | grep libxslt-devel [hadoop@bigdatamaster app]$ rpm -qa | grep make make-3.81-20.el6.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep mvn [hadoop@bigdatamaster app]$ rpm -qa | grep mysql-devel mysql-devel-5.1.73-8.el6_8.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep openldap-devel [hadoop@bigdatamaster app]$ rpm -qa | grep python-devel [hadoop@bigdatamaster app]$ rpm -qa | grep sqlite-devel [hadoop@bigdatamaster app]$ rpm -qa | grep openssl-devel openssl-devel-1.0.1e-57.el6.x86_64 [hadoop@bigdatamaster app]$ rpm -qa | grep gmp-devel [hadoop@bigdatamaster app]$
這一步，我看到有些資料上說，須要先卸載掉，自帶的這些。否則會對後續的安裝，產生版本衝突的問題。
直接用yum安裝的，中間可能會報一些依賴的版本衝突問題，能夠卸載已經安裝的版本，而後再裝。
卸載自帶的包
rpm -e --nodeps ***
查閱和卸載自帶的ant
[hadoop@bigdatamaster app]$ su root Password: [root@bigdatamaster app]# rpm -qa | grep ant wpa_supplicant-0.7.3-4.el6_3.x86_64 anthy-9100h-10.1.el6.x86_64 ibus-anthy-1.2.1-3.el6.x86_64 enchant-1.5.0-4.el6.x86_64 [root@bigdatamaster app]# rpm -e --nodeps wpa_supplicant-0.7.3-4.el6_3.x86_64 [root@bigdatamaster app]# rpm -e --nodeps anthy-9100h-10.1.el6.x86_64 [root@bigdatamaster app]# rpm -e --nodeps ibus-anthy-1.2.1-3.el6.x86_64 [root@bigdatamaster app]# rpm -e --nodeps enchant-1.5.0-4.el6.x86_64 [root@bigdatamaster app]#
查閱和卸載自帶的asciidoc、cyrus-sasl-devel、gcc
[root@bigdatamaster app]# rpm -qa | grep asciidoc [root@bigdatamaster app]# rpm -qa | grep cyrus-sasl-devel [root@bigdatamaster app]# rpm -qa | grep gcc libgcc-4.4.7-4.el6.x86_64 [root@bigdatamaster app]# rpm -e --nodeps libgcc-4.4.7-4.el6.x86_64 （刪除完這個命令，我就後悔了） [root@bigdatamaster app]#
其餘的，我都很少贅述了，也能夠你們在中間，刪除的時候，會出現以下的問題。
[root@bigdatamaster app]# rpm -qa | grep krb5-devel rpm: error while loading shared libraries: libgcc_s.so.1: cannot open shared object file: No such file or directory [root@bigdatamaster app]# rpm -qa | grep libtidy rpm: error while loading shared libraries: libgcc_s.so.1: cannot open shared object file: No such file or directory
亂刪rpm致使再次安裝包時出現 error while loading shared libraries: libgcc_s.so.1問題
解決辦法
說先搜下有沒有這個libgcc_s.so.1共享庫，果真是有的。
[root@bigdatamaster app]# locate libgcc_s.so.1
在/lib64/libgcc_s.so.1。
而後，個人還在/lib64下，則
error while loading shared libraries: xxx.so.x"錯誤的緣由和解決辦法
即上面的這篇博客，裏的1) 若是共享庫文件安裝到了/lib或/usr/lib目錄下, 那麼需執行一下ldconfig命令。
其實吧，我感受，這些資料都很差。
最簡單的辦法就是，咱們不是作大數據的麼，直接，把另一臺機器的libgcc_s-4.4.6-20110824.so.1到/lib64下恢復正常。
rpm: error while loading shared libraries: libgcc_s.so.1: cannot open shared object file: No such file or directory解決辦法 （仍是看我本身總結的博客）
添加maven源
wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
[root@bigdatamaster app]# wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo --2017-05-05 19:52:01-- http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo Resolving repos.fedorapeople.org... 152.19.134.199, 2610:28:3090:3001:5054:ff:fea7:9474 Connecting to repos.fedorapeople.org|152.19.134.199|:80... connected. HTTP request sent, awaiting response... 302 Found Location: https://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo [following] --2017-05-05 19:52:02-- https://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo Connecting to repos.fedorapeople.org|152.19.134.199|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 445 Saving to: 「/etc/yum.repos.d/epel-apache-maven.repo」 100%[=====================================================================================================================================================>] 445 --.-K/s in 0s 2017-05-05 19:52:04 (11.8 MB/s) - 「/etc/yum.repos.d/epel-apache-maven.repo」 saved [445/445] [root@bigdatamaster app]#
安裝依賴 （注意mysql 和 mysql - dever 不須要安裝了，由於我在hive那邊已經安裝好了）（別怪我沒提醒你）（你這裏若再安裝，版本不兼容，會出問題的）
yum install -y ant asciidoc cyrus-sasl-devel cyrus-sasl-gssapi gcc gcc-c++ krb5-devel libtidy libxml2-devel libxslt-devel make mvn openldap-devel python-devel sqlite-devel openssl-devel gmp-devel
Verifying : python-libs-2.6.6-51.el6.x86_64 75/79 Verifying : gmp-4.3.1-7.el6_2.2.x86_64 76/79 Verifying : python-2.6.6-51.el6.x86_64 77/79 Verifying : libxml2-python-2.7.6-14.el6.x86_64 78/79 Verifying : sqlite-3.6.20-1.el6.x86_64 79/79 Installed: ant.x86_64 0:1.7.1-15.el6 asciidoc.noarch 0:8.4.5-4.1.el6 cyrus-sasl-devel.x86_64 0:2.1.23-15.el6_6.2 gcc.x86_64 0:4.4.7-18.el6 gcc-c++.x86_64 0:4.4.7-18.el6 gmp-devel.x86_64 0:4.3.1-12.el6 libtidy.x86_64 0:0.99.0-19.20070615.1.el6 libxml2-devel.x86_64 0:2.7.6-21.el6_8.1 libxslt-devel.x86_64 0:1.1.26-2.el6_3.1 openldap-devel.x86_64 0:2.4.40-16.el6 python-devel.x86_64 0:2.6.6-66.el6_8 sqlite-devel.x86_64 0:3.6.20-1.el6_7.2 Dependency Installed: cloog-ppl.x86_64 0:0.15.7-1.2.el6 cpp.x86_64 0:4.4.7-18.el6 docbook-style-xsl.noarch 0:1.75.2-6.el6 java-1.5.0-gcj.x86_64 0:1.5.0.0-29.1.el6 java-1.7.0-openjdk.x86_64 1:1.7.0.131-2.6.9.0.el6_8 java-1.7.0-openjdk-devel.x86_64 1:1.7.0.131-2.6.9.0.el6_8 java_cup.x86_64 1:0.10k-5.el6 libgcc.x86_64 0:4.4.7-18.el6 libgcj.x86_64 0:4.4.7-18.el6 libgcrypt-devel.x86_64 0:1.4.5-12.el6_8 libgpg-error-devel.x86_64 0:1.7-4.el6 libstdc++-devel.x86_64 0:4.4.7-18.el6 lksctp-tools.x86_64 0:1.0.10-7.el6 mpfr.x86_64 0:2.4.1-6.el6 pcsc-lite-libs.x86_64 0:1.5.2-16.el6 ppl.x86_64 0:0.10.2-11.el6 sinjdoc.x86_64 0:0.5-9.1.el6 tzdata-java.noarch 0:2017b-1.el6 xerces-j2.x86_64 0:2.7.1-12.7.el6_5 xml-commons-apis.x86_64 0:1.3.04-3.6.el6 xml-commons-resolver.x86_64 0:1.1-4.18.el6 Updated: cyrus-sasl-gssapi.x86_64 0:2.1.23-15.el6_6.2 make.x86_64 1:3.81-23.el6 Dependency Updated: cyrus-sasl.x86_64 0:2.1.23-15.el6_6.2 cyrus-sasl-lib.x86_64 0:2.1.23-15.el6_6.2 cyrus-sasl-md5.x86_64 0:2.1.23-15.el6_6.2 cyrus-sasl-plain.x86_64 0:2.1.23-15.el6_6.2 gmp.x86_64 0:4.3.1-12.el6 libgcrypt.x86_64 0:1.4.5-12.el6_8 libgomp.x86_64 0:4.4.7-18.el6 libstdc++.x86_64 0:4.4.7-18.el6 libxml2.x86_64 0:2.7.6-21.el6_8.1 libxml2-python.x86_64 0:2.7.6-21.el6_8.1 nspr.x86_64 0:4.13.1-1.el6 nss.x86_64 0:3.28.4-1.el6_9 nss-softokn.x86_64 0:3.14.3-23.3.el6_8 nss-softokn-freebl.x86_64 0:3.14.3-23.3.el6_8 nss-sysinit.x86_64 0:3.28.4-1.el6_9 nss-tools.x86_64 0:3.28.4-1.el6_9 nss-util.x86_64 0:3.28.4-1.el6_9 openldap.x86_64 0:2.4.40-16.el6 python.x86_64 0:2.6.6-66.el6_8 python-libs.x86_64 0:2.6.6-66.el6_8 sqlite.x86_64 0:3.6.20-1.el6_7.2 Complete! [root@bigdatamaster app]#
上傳hue-3.9.0-cdh5.5.4.tar.gz（我這裏選擇先下載好，再上傳）
固然，這一步，你們也是能夠下載，編譯源碼(hue 3.9),編譯時間較長
git clone https://github.com/cloudera/hue.git branch-3.9 cd branch-3.9 make apps
編譯完後也能夠選擇安裝
make install
我這裏選擇上傳
[hadoop@bigdatamaster app]$ pwd /home/hadoop/app [hadoop@bigdatamaster app]$ ll total 60 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$ rz [hadoop@bigdatamaster app]$ ll total 70956 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 -rw-r--r-- 1 hadoop hadoop 72594458 May 4 00:14 hue-3.9.0-cdh5.5.4.tar.gz lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$
解壓
[hadoop@bigdatamaster app]$ ll total 70956 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 -rw-r--r-- 1 hadoop hadoop 72594458 May 4 00:14 hue-3.9.0-cdh5.5.4.tar.gz lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$ tar -zxvf hue-3.9.0-cdh5.5.4.tar.gz
total 70960 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 drwxr-xr-x 9 hadoop hadoop 4096 Apr 26 2016 hue-3.9.0-cdh5.5.4 -rw-r--r-- 1 hadoop hadoop 72594458 May 4 00:14 hue-3.9.0-cdh5.5.4.tar.gz lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$ rm hue-3.9.0-cdh5.5.4.tar.gz
建立軟連接
[hadoop@bigdatamaster app]$ ll total 64 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 drwxr-xr-x 9 hadoop hadoop 4096 Apr 26 2016 hue-3.9.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$ ln -s hue-3.9.0-cdh5.5.4/ hue [hadoop@bigdatamaster app]$ ll total 64 drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin lrwxrwxrwx 1 hadoop hadoop 19 May 5 11:15 elasticsearch -> elasticsearch-2.4.3 drwxrwxr-x 7 hadoop hadoop 4096 May 5 11:35 elasticsearch-2.4.3 lrwxrwxrwx 1 hadoop hadoop 22 May 5 12:44 filebeat -> filebeat-1.3.1-x86_64/ drwxr-xr-x 2 hadoop hadoop 4096 May 5 12:47 filebeat-1.3.1-x86_64 lrwxrwxrwx 1 hadoop hadoop 32 May 5 09:31 flume -> apache-flume-1.6.0-cdh5.5.4-bin/ lrwxrwxrwx. 1 hadoop hadoop 21 May 4 20:59 hadoop -> hadoop-2.6.0-cdh5.5.4 drwxr-xr-x. 15 hadoop hadoop 4096 May 4 21:14 hadoop-2.6.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 21:48 hbase -> hbase-1.0.0-cdh5.5.4 drwxr-xr-x. 27 hadoop hadoop 4096 May 4 22:05 hbase-1.0.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 20 May 4 22:37 hive -> hive-1.1.0-cdh5.5.4/ drwxr-xr-x. 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4 lrwxrwxrwx 1 hadoop hadoop 19 May 5 20:44 hue -> hue-3.9.0-cdh5.5.4/ drwxr-xr-x 9 hadoop hadoop 4096 Apr 26 2016 hue-3.9.0-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 11 May 4 20:34 jdk -> jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79 drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60 lrwxrwxrwx. 1 hadoop hadoop 19 May 4 22:49 kafka -> kafka_2.11-0.8.2.2/ drwxr-xr-x. 6 hadoop hadoop 4096 May 4 22:57 kafka_2.11-0.8.2.2 lrwxrwxrwx 1 hadoop hadoop 26 May 5 19:03 kibana -> kibana-4.6.3-linux-x86_64/ drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 23:24 kibana-4.6.3-linux-x86_64 lrwxrwxrwx 1 hadoop hadoop 15 May 5 14:44 logstash -> logstash-2.4.1/ drwxrwxr-x 5 hadoop hadoop 4096 May 5 14:44 logstash-2.4.1 lrwxrwxrwx 1 hadoop hadoop 12 May 5 09:05 scala -> scala-2.11.8 drwxrwxr-x 6 hadoop hadoop 4096 Mar 4 2016 scala-2.11.8 lrwxrwxrwx 1 hadoop hadoop 25 May 5 09:05 spark -> spark-2.1.0-bin-hadoop2.6 drwxr-xr-x 14 hadoop hadoop 4096 May 5 09:20 spark-2.1.0-bin-hadoop2.6 lrwxrwxrwx 1 hadoop hadoop 21 May 5 09:49 sqoop -> sqoop-1.4.6-cdh5.5.4/ drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 sqoop-1.4.6-cdh5.5.4 lrwxrwxrwx. 1 hadoop hadoop 25 May 4 20:44 zookeeper -> zookeeper-3.4.5-cdh5.5.4/ drwxr-xr-x. 16 hadoop hadoop 4096 May 4 20:52 zookeeper-3.4.5-cdh5.5.4 [hadoop@bigdatamaster app]$
進入hue的安裝目錄，進行編譯。
make apps
看我的的網速吧，這個過程當中，須要幾分鐘。
爲何須要make apps，其實啊，是爲了獲得以下
首先，你們一應要看清個人3個節點的集羣機器狀況！（不看清楚，本身去後悔吧）
（這個配置文件表格，我是爲了給你們方便看，製做出來展現，是根據你們的機器變更而走的）（動態的）
| Hue配置段 | Hue配置項 | Hue配置值 | 說明 |
| desktop | default_hdfs_superuser | hadoop | HDFS管理用戶 |
| desktop | http_host | 192.168.80.10 | Hue Web Server所在主機/IP |
| desktop | http_port | 8000 | Hue Web Server服務端口 |
| desktop | server_user | hue | 運行Hue Web Server的進程用戶 |
| desktop | server_group | hue | 運行Hue Web Server的進程用戶組 |
| desktop | default_user | hue | Hue管理員 |
| desktop | default_hdfs_superuser | hadoop | 更改成你的hadoop用戶，網上有些資料寫爲何將 修改 文件desktop/libs/hadoop/src/hadoop/fs/webhdfs.py 中的 DEFAULT_HDFS_SUPERUSER = ‘hdfs’ 更改成你的hadoop用戶。
個人這裏是hadoop
修改默認的hdfs訪問用戶 修改hue.ini中的配置 default_hdfs_superuser=hdfs 改成 default_hdfs_superuser=root （注意，這裏別人的用戶是root） |
| hadoop/hdfs_clusters | fs_defaultfs | hdfs://bigdatamaster:9000 | 對應core-site.xml配置項fs.defaultFS |
| hadoop/hdfs_clusters | hadoop_conf_dir | /home/hadoop/app/hadoop/etc/hadoop/conf | Hadoop配置文件目錄 |
| hadoop/yarn_clusters | resourcemanager_host | bigdatamaster | 對應yarn-site.xml配置項yarn.resourcemanager.hostname |
| hadoop/yarn_clusters | resourcemanager_port | 8032 | ResourceManager服務端口號 |
| hadoop/yarn_clusters | resourcemanager_api_url | http://bigdatamaster:23188 | 對應於yarn-site.xml配置項yarn.resourcemanager.webapp.address(我這裏是爲了不跟spark那邊的端口衝突，固然你也能夠改成其餘的端口） |
| hadoop/yarn_clusters | proxy_api_url | http://bigdatamaster:8888 | 對應yarn-site.xml配置項yarn.web-proxy.address |
| hadoop/yarn_clusters | history_server_api_url | http://bigdatamaster:19888 | 對應mapred-site.xml配置項mapreduce.jobhistory.webapp.address |
zookeeper |
host_ports |
bigdatamaster:2181,bigdataslave1:2181,bigdataslave2:2181 |
zookeeper集羣管理 |
| beeswax | hive_server_host | bigdatamaster | Hive所在節點主機名/IP |
| beeswax | hive_server_port | 10000 | HiveServer2服務端口號 |
| beeswax |
hive_conf_dir | home/hadoop/app/hive/conf |
Hive配置文件目錄
|
由於，個人Hue僅只安裝在bigdatamaster（192.168.80.10）這臺機器上便可！！！
配置hue文件（重點，必定要細心）
$HUE_HOME/desktop/conf/hue.ini
[hadoop@bigdatamaster conf]$ pwd /home/hadoop/app/hue/desktop/conf [hadoop@bigdatamaster conf]$ ll total 52 -rw-r--r-- 1 hadoop hadoop 41572 Apr 26 2016 hue.ini -rw-r--r-- 1 hadoop hadoop 1843 Apr 26 2016 log4j.properties -rw-r--r-- 1 hadoop hadoop 1721 Apr 26 2016 log.conf [hadoop@bigdatamaster conf]$ vim hue.ini
http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.4/manual.html#_install_hue
[desktop]這塊，配置以下
[desktop] # hue webServer 地址和端口號
secret_key= secret_key=jFE93j;2[290-eiw.KEiwN2s3['d;/.q[eIW^y#e=+Iei*@Mn<qW5o
http_host=192.168.80.10 http_port=8888
time_zone=Asia/Shanghai
# Webserver runs as this user server_user=hue server_group=hue # This should be the Hue admin and proxy user default_user=hue # This should be the hadoop cluster admin default_hdfs_superuser=hadoop
注意，這裏也能夠不弄，保持默認的
http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.4/manual.html#_install_hue
[hadoop]這塊，配置以下 （注意官網說，WebHdfs 或者 HttpFS）（通常用WebHdfs，那是由於非HA集羣。若是是HA集羣，則必須還要配置HttpFS）
下面這篇博客，我給了具體的配置和緣由。
HUE配置文件hue.ini 的hdfs_clusters模塊詳解（圖文詳解）（分HA集羣）
好的，咱們繼續往下。由於本博客立足因而由bigdatamaster、bigdataslave1和bigdataslave2組成的非HA的3節點集羣，因此選擇WebHdfs。
bigdataslave1 和 bigdataslave2都操做，很少贅述。
而後，修改完三臺機器的hdfs-site.xml以後，再修改core-site.xml
bigdataslave1和bigdataslave2都操做，很少贅述。
hadoop模塊
[hadoop]
# Configuration for HDFS NameNode
# ------------------------------------------------------------------------
[[hdfs_clusters]]
# HA support by using HttpFs
[[[default]]]
# Enter the filesystem uri
fs_defaultfs=hdfs://bigdatamaster:9000
# NameNode logical name.
## logical_name=
# Use WebHdfs/HttpFs as the communication mechanism.
# Domain should be the NameNode or HttpFs host.
# Default port is 14000 for HttpFs.
webhdfs_url=http://bigdatamaster:50070/webhdfs/v1
# Change this if your HDFS cluster is Kerberos-secured
## security_enabled=false
# In secure mode (HTTPS), if SSL certificates from YARN Rest APIs
# have to be verified against certificate authority
## ssl_cert_ca_verify=True
# Directory of the Hadoop configuration
hadoop_conf_dir=/home/hadoop/app/hadoop/etc/hadoop/conf
注意，個人 fs_defaultfs=hdfs://bigdatamaster:9000 ，你們要根據本身的機器來配置，思路必定要清晰，別一味地看別人博客怎麼配置的
網上有些如， fs_defaultfs=hdfs://mycluster ，以及 fs_defaultfs=hdfs://master:8020。注意，這是別人的機器是這麼配置的。
總之，跟本身機器的core-site.xml的fs.defaultFS屬性保持一致便可。
其中，bigdatamaster，是我安裝Hue這臺機器的主機名，192.168.80.10是它對應的靜態ip。
那麼，爲何是上面這樣來配置的呢。你們要知道爲何
http://hadoop.apache.org/docs/r2.5.2/
[yarn_clusters]這塊
[[yarn_clusters]]
[[[default]]]
# Enter the host on which you are running the ResourceManager
resourcemanager_host=192.168.80.10
# The port where the ResourceManager IPC listens on
resourcemanager_port=8032
# Whether to submit jobs to this cluster
submit_to=True
# Resource Manager logical name (required for HA)
## logical_name=
# Change this if your YARN cluster is Kerberos-secured
## security_enabled=false
# URL of the ResourceManager API
resourcemanager_api_url=http://192.168.80.10:8088
# URL of the ProxyServer API
proxy_api_url=http://192.168.80.10:8088
# URL of the HistoryServer API
history_server_api_url=http://192.168.80.10:19888
進一步深刻的話，請移步個人博客
HUE配置文件hue.ini 的yarn_clusters模塊詳解（圖文詳解）（分HA集羣）
[zookeeper]這塊
[zookeeper] host_ports=bigdatamaster:2181,bigdataslave1:2181,bigdataslave2:2181
[beeswax] 和 hive 這塊
[beeswax] # Host where HiveServer2 is running. # If Kerberos security is enabled, use fully-qualified domain name (FQDN). hive_server_host=bigdatamaster # Port where HiveServer2 Thrift server runs on. hive_server_port=10000 # Hive configuration directory, where hive-site.xml is located hive_conf_dir=/home/hadoop/app/hive/conf
由於，個人hive是安裝在bigdatamaster這臺機器上。你們必定要根據本身的機器狀況來配置啊！
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.bind.host</name>
<value>bigdatamaster</value>
</property>
同時，是還要將hive-site.xml裏的hive.server2.thrift.port屬性 和 hive.server2.thrift.bind.host屬性。我這裏的hive是安裝在bigdatamaster機器上。
更深刻，想請請見
HUE配置文件hue.ini 的hive和beeswax模塊詳解（圖文詳解）（分HA集羣）
database模塊
HUE配置文件hue.ini 的database模塊詳解（包含qlite、mysql、 psql、和oracle）（圖文詳解）（分HA集羣）
###########################################################################
# Settings for the RDBMS application
###########################################################################
[librdbms]
# The RDBMS app can have any number of databases configured in the databases
# section. A database is known by its section name
# (IE sqlite, mysql, psql, and oracle in the list below).
[[databases]]
# sqlite configuration.
[[[sqlite]]]
# Name to show in the UI.
nice_name=SQLite
# For SQLite, name defines the path to the database.
name=/home/hadoop/app/hue/desktop/desktop.db
# Database backend to use.
engine=sqlite
hive> show databases; OK default hive Time taken: 0.074 seconds, Fetched: 2 row(s) hive>
# mysql, oracle, or postgresql configuration.
[[[mysql]]]
# Name to show in the UI.
nice_name="My SQL DB"
# For MySQL and PostgreSQL, name is the name of the database.
# For Oracle, Name is instance of the Oracle server. For express edition
# this is 'xe' by default.
name=hive
# Database backend to use. This can be:
# 1. mysql
# 2. postgresql
# 3. oracle
engine=mysql
# IP or hostname of the database to connect to.
host=bigdatamaster
# Port the database server is listening to. Defaults are:
# 1. MySQL: 3306
# 2. PostgreSQL: 5432
# 3. Oracle Express Edition: 1521
port=3306
# Username to authenticate with when connecting to the database.
user=hive
# Password matching the username to authenticate with when
# connecting to the database.
password=hive
# Database options to send to the server when connecting.
# https://docs.djangoproject.com/en/1.4/ref/databases/
## options={}
pig模塊的配置
具體，見
HUE配置文件hue.ini 的pig模塊詳解（圖文詳解）（分HA集羣）
zookeeper模塊的配置
具體，見
HUE配置文件hue.ini 的zookeeper模塊詳解（圖文詳解）（分HA集羣）
spark模塊的配置
具體，見
HUE配置文件hue.ini 的Spark模塊詳解（圖文詳解）（分HA集羣）
impala模塊的配置
具體請見
HUE配置文件hue.ini 的impala模塊詳解（圖文詳解）（分HA集羣）
liboozie和oozie模塊的配置
具體，見
HUE配置文件hue.ini 的liboozie和oozie模塊詳解（圖文詳解）（分HA集羣）
sqoop模塊的配置
具體，見
HUE配置文件hue.ini 的sqoop模塊詳解（圖文詳解）（分HA集羣）
hbase模塊的配置（暫時這裏遇到了點問題）
一、配置HBase
Hue須要讀取HBase的數據是使用thrift的方式，默認HBase的thrift服務沒有開啓，全部須要手動額外開啓thrift 服務。
thrift service默認使用的是9090端口，使用以下命令查看端口是否被佔用。
[hadoop@bigdatamaster conf]$ netstat -nl|grep 9090 [hadoop@bigdatamaster conf]$
這裏，最好保持默認端口。
對於Hbase的配置，有點錯誤。
HUE配置文件hue.ini 的hbase模塊詳解（圖文詳解）（分HA集羣）
Hue的啓動
也就是說，你Hue配置文件裏面配置了什麼，進程都要先提早啓動。
build/env/bin/supervisor
[hadoop@bigdatamaster hue]$ pwd /home/hadoop/app/hue [hadoop@bigdatamaster hue]$ ll total 92 -rw-rw-r-- 1 hadoop hadoop 2782 May 5 21:03 app.reg drwxr-xr-x 22 hadoop hadoop 4096 May 5 21:03 apps drwxrwxr-x 4 hadoop hadoop 4096 May 5 21:03 build drwxr-xr-x 3 hadoop hadoop 4096 Apr 26 2016 cloudera drwxr-xr-x 6 hadoop hadoop 4096 May 7 10:13 desktop drwxr-xr-x 6 hadoop hadoop 4096 Apr 26 2016 docs drwxr-xr-x 3 hadoop hadoop 4096 Apr 26 2016 ext -rw-r--r-- 1 hadoop hadoop 11358 Apr 26 2016 LICENSE.txt drwxrwxr-x 2 hadoop hadoop 4096 May 7 09:27 logs -rw-r--r-- 1 hadoop hadoop 4742 Apr 26 2016 Makefile -rw-r--r-- 1 hadoop hadoop 8505 Apr 26 2016 Makefile.sdk -rw-r--r-- 1 hadoop hadoop 3531 Apr 26 2016 Makefile.vars -rw-r--r-- 1 hadoop hadoop 2192 Apr 26 2016 Makefile.vars.priv drwxr-xr-x 2 hadoop hadoop 4096 Apr 26 2016 maven -rw-r--r-- 1 hadoop hadoop 801 Apr 26 2016 NOTICE.txt -rw-r--r-- 1 hadoop hadoop 1305 Apr 26 2016 README drwxr-xr-x 5 hadoop hadoop 4096 Apr 26 2016 tools -rw-r--r-- 1 hadoop hadoop 932 Apr 26 2016 VERSION [hadoop@bigdatamaster hue]$ build/env/bin/supervisor
[hadoop@bigdatamaster hue]$ build/env/bin/supervisor
[INFO] Not running as root, skipping privilege drop
starting server with options:
{'daemonize': False,
'host': '192.168.80.10',
'pidfile': None,
'port': 8888,
'server_group': 'hue',
'server_name': 'localhost',
'server_user': 'hue',
'ssl_certificate': None,
'ssl_certificate_chain': None,
'ssl_cipher_list': 'ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-GCM-SHA384:DHE-RSA-AES128-GCM-SHA256:DHE-DSS-AES128-GCM-SHA256:kEDH+AESGCM:ECDHE-RSA-AES128-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-RSA-AES128-SHA:ECDHE-ECDSA-AES128-SHA:ECDHE-RSA-AES256-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-RSA-AES256-SHA:ECDHE-ECDSA-AES256-SHA:DHE-RSA-AES128-SHA256:DHE-RSA-AES128-SHA:DHE-DSS-AES128-SHA256:DHE-RSA-AES256-SHA256:DHE-DSS-AES256-SHA:DHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES256-GCM-SHA384:AES128-SHA256:AES256-SHA256:AES128-SHA:AES256-SHA:AES:CAMELLIA:DES-CBC3-SHA:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!aECDH:!EDH-DSS-DES-CBC3-SHA:!EDH-RSA-DES-CBC3-SHA:!KRB5-DES-CBC3-SHA',
'ssl_private_key': None,
'threads': 40,
'workdir': None}
/home/hadoop/app/hue-3.9.0-cdh5.5.4/build/env/lib/python2.6/site-packages/django_axes-1.4.0-py2.6.egg/axes/decorators.py:210: DeprecationWarning: The use of AUTH_PROFILE_MODULE to define user profiles has been deprecated.
profile = user.get_profile()
http://bigdatamaster:8888
這裏，很少贅述了。
若是你們，在啓動Hue以後，遇到一些問題，相應能夠去看我如下寫的博客
安裝Hue後的一些功能的問題解決乾貨總結（博主推薦）
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