大数据 hue 安装配置与其它框架的集成

标签：大数据   hadoop   hue   协作框架   

• 一： hue 的简介
• 二： hue 的安装与配置
• 三： 创建hue 与其它框架的集成

一： hue 的简介

Hue是一个开源的Apache Hadoop UI系统，由Cloudera Desktop演化而来，最后Cloudera公司将其贡献给Apache基金会的Hadoop社区，它是基于Python Web框架Django实现的。通过使用Hue我们可以在浏览器端的Web控制台上与Hadoop集群进行交互来分析处理数据，例如操作HDFS上的数据，运行MapReduce Job，执行Hive的SQL语句，浏览HBase数据库等等

Hue在数据库方面，默认使用的是SQLite数据库来管理自身的数据，包括用户认证和授权，另外，可以自定义为MySQL数据库、Postgresql数据库、以及Oracle数据库。其自身的功能包含有：

对HDFS的访问，通过浏览器来查阅HDFS的数据。
Hive编辑器：可以编写HQL和运行HQL脚本，以及查看运行结果等相关Hive功能。
提供Solr搜索应用，并对应相应的可视化数据视图以及DashBoard。
提供Impala的应用进行数据交互查询。
最新的版本集成了Spark编辑器和DashBoard
支持Pig编辑器，并能够运行编写的脚本任务。
Oozie调度器，可以通过DashBoard来提交和监控Workflow、Coordinator以及Bundle。
支持HBase对数据的查询修改以及可视化。
支持对Metastore的浏览，可以访问Hive的元数据以及对应的HCatalog。
另外，还有对Job的支持，Sqoop，ZooKeeper以及DB（MySQL，SQLite，Oracle等）的支持。

二： hue 的安装与配置

mysql 环境初始化配置

2.1 升级原来的mysql：

rpm -e MySQL-server-5.6.24-1.el6.x86_64 MySQL-client-5.6.24-1.el6.x86_64

2.2 升级成新的mysql

rpm -Uvh MySQL-server-5.6.31-1.el6.x86_64.rpm
rpm -Uvh MySQL-client-5.6.31-1.el6.x86_64.rpm
rpm -ivh MySQL-devel-5.6.31-1.el6.x86_64.rpm
rpm -ivh MySQL-embedded-5.6.31-1.el6.x86_64.rpm 
rpm -ivh MySQL-shared-5.6.31-1.el6.x86_64.rpm 
rpm -ivh MySQL-shared-compat-5.6.31-1.el6.x86_64.rpm 
rpm -ivh MySQL-test-5.6.31-1.el6.x86_64.rpm

2.3 修改mysql 密码：

mysql -uroot -polCiurMmcTS1zkQn

密码在/root/.mysql_scret 里面

修改密码：

set password=password(‘123456‘);

授权登陆：

grant all on *.* to root@‘namenode01.hadoo.com‘ identified by ‘123456‘ ;

GRANT ALL PRIVILEGES ON *.* TO ‘root‘@‘%‘IDENTIFIED BY ‘123456‘ WITH GRANT OPTION;

flush privileges;

2.4 创建hive的 原数据：

cd /home/hadoop/yangyang/hive
bin/hive

注： hive 的安装配置参看 hive 的安装

2.5 创建oozie 的数据表：

create database oozie;

cd /home/hadoop/yangyang/oozie

bin/oozie-setup.sh db create -run oozie.sql

注： oozie 的安装参看oozie 的安装

2.6 安装hue 所需的依赖包：

yum -y install ant asciidoc cyrus-sasl-devel cyrus-sasl-gssapi gcc gcc-c++ krb5-devel libtidy libxml2-devel libxslt-devel openldap-devel python-devel sqlite-devel openssl-devel  gmp-devel

2.7 最后一步操作去掉安装的jdk所需的依赖包：

rpm -e java_cup-0.10k-5.el6.x86_64 java-1.7.0-openjdk-devel-1.7.0.101-2.6.6.4.el6_8.x86_64 tzdata-java-2016d-1.el6.noarch java-1.5.0-gcj-1.5.0.0-29.1.el6.x86_64 java-1.7.0-openjdk-1.7.0.101-2.6.6.4.el6_8.x86_64 --nodeps

三： 安装 hue

3.1 安装编译Hue

tar -zxvf hue-3.7.0-cdh5.3.6.tar.gz
mv hue-3.7.0-cdh5.3.6 yangyang/hue
cd yangyang/hue
make apps

3.2 更改hue 的配置文件

cd yangyang/hue/desktop/conf
vim hue.ini
---
[desktop]

  # Set this to a random string, the longer the better.
  # This is used for secure hashing in the session store.
  secret_key=jFE93j;2[290-eiw.KEiwN2s3[‘d;/.q[eIW^y#e=+Iei*@Mn<qW5o

  # Webserver listens on this address and port
  http_host=192.168.3.1
  http_port=8888

  # Time zone name
  time_zone=Asia/Shanghai

3.3 启动hue 测试

cd yangyang/hue
build/env/bin/supervisor

3.4 打开浏览器测试

http://192.168.3.1:8888

四： 创建hue 与其它框架的集成

hue 与 hadoop2.x 系列 集成

4.1 hue 与hdfs 集成：

更改hadoop的hdfs-site.xml 文件
配置启动HDFS中的webHDFS
vim hdfs-site.xml  增加：

<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>

<!-- 关闭权限检查 -->
<property>
<name>dfs.permissions.enabled</name>
<value>false</value>
</property>

更改hadoop 的core-site.xml文件
配置下Hue访问HDFS用户权限
vim core-site.xml 

<property>
  <name>hadoop.proxyuser.hue.hosts</name>
  <value>*</value>
</property>
<property>
  <name>hadoop.proxyuser.hue.groups</name>
  <value>*</value>
</property>

更改hue 的配置文件
cd yangyang/hue/desktop/conf

vim hue.ini
[hadoop]

  # Configuration for HDFS NameNode
  # ------------------------------------------------------------------------
  [[hdfs_clusters]]
    # HA support by using HttpFs

    [[[default]]]
      # Enter the filesystem uri
      fs_defaultfs=hdfs://namenode01.hadoop.com:8020

      # 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://namenode01.hadoop.com:50070/webhdfs/v1

      hadoop_hdfs_home=/home/hadoop/yangyang/hadoop

      hadoop_bin=/home/hadoop/yangyang/hadoop/bin

      # Change this if your HDFS cluster is Kerberos-secured
      ## security_enabled=false

      # Default umask for file and directory creation, specified in an octal value.
      ## umask=022

      # Directory of the Hadoop configuration
      hadoop_conf_dir=/home/hadoop/yangyang/hadoop/etc/hadoop

4.2 hue 与yarn 集成：

[[yarn_clusters]]

    [[[default]]]
      # Enter the host on which you are running the ResourceManager
      resourcemanager_host=namenode01.hadoop.com

      # 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://namenode01.hadoop.com:8088

      # URL of the ProxyServer API
      proxy_api_url=http://namenode01.hadoop.com:8088

      # URL of the HistoryServer API
      history_server_api_url=http://namenode01.hadoop.com:19888

      # In secure mode (HTTPS), if SSL certificates from Resource Manager‘s
      # Rest Server have to be verified against certificate authority
      ## ssl_cert_ca_verify=False

注释： 修改完之后要从新启动hadoop 的hdfs 与yarn 的服务

4.3 Hue与Hive集成

4.3.1 增加 Hive Remote MetaStore 配置

更改hive 的hive-site.xml 文件
vim hive-site.xml 
---

<property>
  <name>hive.metastore.uris</name>
  <value>thrift://namenode01.hadoop.com:9083</value>
  <description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
</property>

启动hive 的metastore

bin/hive --service metastore &

启动hive 的 hiveserver2

4.3.2 Hue与Hive集成

修改hue 的配置文件
vim hue.ini
---
[beeswax]

  # Host where HiveServer2 is running.
  # If Kerberos security is enabled, use fully-qualified domain name (FQDN).
  hive_server_host=namenode01.hadoop.com

  # 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/yangyang/hive

  # Timeout in seconds for thrift calls to Hive service
  server_conn_timeout=120

  # Choose whether Hue uses the GetLog() thrift call to retrieve Hive logs.
  # If false, Hue will use the FetchResults() thrift call instead.
  ## use_get_log_api=true

  # Set a LIMIT clause when browsing a partitioned table.
  # A positive value will be set as the LIMIT. If 0 or negative, do not set any limit.
  ## browse_partitioned_table_limit=250

  # A limit to the number of rows that can be downloaded from a query.
  # A value of -1 means there will be no limit.
  # A maximum of 65,000 is applied to XLS downloads.
  ## download_row_limit=1000000

  # Hue will try to close the Hive query when the user leaves the editor page.
  # This will free all the query resources in HiveServer2, but also make its results inaccessible.
  ## close_queries=false

  # Thrift version to use when communicating with HiveServer2
  ## thrift_version=5

4.4 Hue与RMDBS集成

[[[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=mysqldb

      # 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=namenode01.hadoop.com

      # 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=root

      # Password matching the username to authenticate with when
      # connecting to the database.
      password=123456

      # Database options to send to the server when connecting.
      # https://docs.djangoproject.com/en/1.4/ref/databases/
      ## options={}

4.5 hue 与oozie 集成

更改hue.ini

[liboozie]
  # The URL where the Oozie service runs on. This is required in order for
  # users to submit jobs. Empty value disables the config check.
  oozie_url=http://namenode01.hadoop.com:11000/oozie

  # Requires FQDN in oozie_url if enabled
  ## security_enabled=false

  # Location on HDFS where the workflows/coordinator are deployed when submitted.
  remote_deployement_dir=/user/hadoop/oozie-apps

###########################################################################
# Settings to configure the Oozie app
###########################################################################

[oozie]
  # Location on local FS where the examples are stored.
  local_data_dir=/home/hadoop/yangyang/oozie/oozie-apps

  # Location on local FS where the data for the examples is stored.
  sample_data_dir=/home/hadoop/yangyang/oozie/oozie-apps/map-reduce/input-data

  # Location on HDFS where the oozie examples and workflows are stored.
  remote_data_dir=/user/hadoop/oozie-apps

  # Maximum of Oozie workflows or coodinators to retrieve in one API call.
  oozie_jobs_count=100

  # Use Cron format for defining the frequency of a Coordinator instead of the old frequency number/unit.
  ##enable_cron_scheduling=true

五： 从新启动 hue

杀掉supervisor 相关进程 与 8888 端口所占的进程号

从新启动hue 

build/env/bin/supervisor &

启动hiveserver2 

bin/hiveserver2 &

5.1 查看浏览器

http://192.168.3.1:8888

hdfs :

mysql :

hive :

oozie:

大数据 hue 安装配置与其它框架的集成

标签：大数据   hadoop   hue   协作框架   

原文地址：http://blog.51cto.com/flyfish225/2097358