Hue的安装与部署
Hue的安装与部署
Hue 简介
Hue是一个开源的Apache Hadoop UI系统,最早是由Cloudera Desktop演化而来,由Cloudera贡献给开源社区,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等等。很早以前就听说过Hue的便利与强大,一直没能亲自尝试使用,下面先通过官网给出的特性,通过翻译原文简单了解一下Hue所支持的功能特性集合:
默认基于轻量级sqlite数据库管理会话数据,用户认证和授权,可以自定义为MySQL、Postgresql,以及Oracle
基于文件浏览器(File Browser)访问HDFS
基于Hive编辑器来开发和运行Hive查询
支持基于Solr进行搜索的应用,并提供可视化的数据视图,以及仪表板(Dashboard)
支持基于Impala的应用进行交互式查询
支持Spark编辑器和仪表板(Dashboard)
支持Pig编辑器,并能够提交脚本任务
支持Oozie编辑器,可以通过仪表板提交和监控Workflow、Coordinator和Bundle
支持HBase浏览器,能够可视化数据、查询数据、修改HBase表
支持Metastore浏览器,可以访问Hive的元数据,以及HCatalog
支持Job浏览器,能够访问MapReduce Job(MR1/MR2-YARN)
支持Job设计器,能够创建MapReduce/Streaming/Java Job
支持Sqoop 2编辑器和仪表板(Dashboard)
支持ZooKeeper浏览器和编辑器
支持MySql、PostGresql、Sqlite和Oracle数据库查询编辑器
Hue的架构:
hue官网:http://gethue.com/
配置文档:http://archive.cloudera.com/cdh5/cdh/5/hue-3.7.0-cdh5.3.6/manual.html#_install_hue
源码:https://github.com/cloudera/hue
这里我们直接用下载Hue:http://archive.cloudera.com/cdh5/cdh/5/hue-3.7.0-cdh5.3.6.tar.gz
Hue 编译
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需要连接互联网
修改虚拟机网络配置 -
安装系统包
yum 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 mysql-devel gmp-devel
在实际安装的时候,sqlite-devel不能从镜像下载,这里我是用了手动下载tar包,安装编译:
下载地址: http://www.sqlite.org/sqlite-autoconf-3070500.tar.gztar zxf sqlite-autoconf-3070500.tar.gz cd sqlite-autoconf-3070500 ./configure make sudo make install
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编译Hue
tar zxf hue-3.7.0-cdh5.3.6.tar.gz /opt/cdh5/ cd /opt/cdh5/hue-3.7.0-cdh5.3.6/ make apps
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配置Hue
secret_key=jFE93j;2[290-eiw.KEiwN2s3['d;/.q[eIW^y#e=+Iei*@Mn<qW5o # Webserver listens on this address and port http_host=hadoop http_port=8888 # Time zone name time_zone=Asia/Shanghai
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启动Hue
${HUE_HOME}/build/env/bin/supervisor
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打开hue的浏览器页面:hadoop:8888
Hue与HDFS,YARN集成
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Hue与Hadoop集成时,需要配置启动HDFS中的webHDFS,在hdfs-site.xml增加下面配置:
<property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property>
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此外,还需要配置Hue访问HDFS用户权限,在core-site.xml中配置:
<property> <name>hadoop.http.staticuser.user</name> <value>hadoop</value> </property> <property> <name>hadoop.proxyuser.hue.hosts</name> <value>*</value> </property> <property> <name>hadoop.proxyuser.hue.groups</name> <value>*</value> </property>
完成上述配置后,需重启HDFS。
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配置Hue
[[hdfs_clusters]] # HA support by using HttpFs [[[default]]] fs_defaultfs=hdfs://hadoop:8020 # Directory of the Hadoop configuration hadoop_conf_dir=/opt/cdh5/hadoop-2.5.0-cdh5.3.6/etc/hadoop # This is the home of your Hadoop HDFS installation. hadoop_hdfs_home=/opt/cdh5/hadoop-2.5.0-cdh5.3.6 # Use this as the HDFS Hadoop launcher script hadoop_bin=/opt/cdh5/hadoop-2.5.0-cdh5.3.6/bin # Configuration for YARN (MR2) # ------------------------------------------------------------------------ [[yarn_clusters]] [[[default]]] # Enter the host on which you are running the ResourceManager resourcemanager_host=hadoop # The port where the ResourceManager IPC listens on resourcemanager_port=8032 # Whether to submit jobs to this cluster submit_to=True # URL of the ResourceManager API resourcemanager_api_url=http://hadoop:8088 # URL of the ProxyServer API proxy_api_url=http://hadoop:8088 # URL of the HistoryServer API history_server_api_url=http://hadoop:19888
重启Hue服务。这里我们可以通在远程cmd中运行hive,在Hue中查看任务运行状况
Hue与Hive的集成
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hive-site.xml:
注:metastore应该作为一个服务起来,然后让客户端去连接这个服务,去读mysql数据库里面的数据,可以参考hive官网上的Administrator Documentation中的Setting Up MetaStore<property> <name>hive.metastore.uris</name> <value>thrift://hadoop:9083</value> <description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description> </property>
配置完成以后,需启动服务:
nohup {$HIVE_HOME}/bin/hive --service metastore &
nohup {$HIVE_HOME}/bin/hiveserver2 &
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hue.ini
# Host where HiveServer2 is running. # If Kerberos security is enabled, use fully-qualified domain name (FQDN). hive_server_host=hadoop # Port where HiveServer2 Thrift server runs on. hive_server_port=10000 # Hive configuration directory, where hive-site.xml is located hive_conf_dir=/opt/cdh5/hive-0.13.1-cdh5.3.6/conf # Timeout in seconds for thrift calls to Hive service server_conn_timeout=120
注:重新启动hive和hue以后,可能在hue中运行sql时会出现错误,因为权限问题,hue登陆的用户和hdfs上创建表的用户不相同,这个时候需要用hadoop的命令在后台做出更改
bin/hdfs dfs -R o+x /xx
Hue与RDBMS的集成
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在hue.ini中配置Hue本身的数据库SQLite
[[[sqlite]]] # Name to show in the UI. nice_name=SQLite # For SQLite, name defines the path to the database. name=/opt/cdh5/hue-3.7.0-cdh5.3.6/desktop/desktop.db # Database backend to use. engine=sqlite
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在hue.ini中配置Mysql数据库
# Name to show in the UI. nice_name="My SQL DB" ## nice_name=MySqlDB # 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=db_track # 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=hadoop # 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
重启hue服务,可以在页面中看到配置的数据库了: