不多说，直接上干货！
我的集群机器情况是 bigdatamaster（192.168.80.10）、bigdataslave1（192.168.80.11）和bigdataslave2（192.168.80.12）
然后，安装目录是在/home/hadoop/app下。
官方建议在master机器上安装Hue，我这里也不例外。安装在bigdatamaster机器上。
Hue版本：hue-3.9.0-cdh5.5.4
需要编译才能使用（联网） 说给大家的话：大家电脑的配置好的话，一定要安装cloudera manager。毕竟是一家人的。
同时，我也亲身经历过，会有部分组件版本出现问题安装起来要个大半天时间去排除，做好心里准备。废话不多说，因为我目前读研，自己笔记本电脑最大8G，只能玩手动来练手。
纯粹是为了给身边没高配且条件有限的学生党看的！ 但我已经在实验室机器群里搭建好cloudera manager 以及 ambari都有。
大数据领域两大最主流集群管理工具Ambari和Cloudera Manger
Cloudera安装搭建部署大数据集群（图文分五大步详解）（博主强烈推荐）
Ambari安装搭建部署大数据集群（图文分五大步详解）（博主强烈推荐）
首先，在这里，先给大家普及知识。
对于hive的安装是有3种方式的:
1.本地derby
2.本地mysql （比如master、slave1、slave2集群。hive一般我是安装在master上）（也叫作hive单用户模式）
当然，你也来个master、slave1、slave2集群，外加client专门来安装hive、sqoop、azkaban这样的。
或者，你也来个master、slave1、slave2、slave3、slave4集群，hive一般我也是安装在master上。
3..远端mysql （在主从上配）（也叫作hive多用户模式）
（比如master、slave1、slave2集群。hive一般我是安装在master和slave1上）
或者，你也来个master、slave1、slave2、slave3、slave4集群，hive一般我也是安装在master和slave1上。
Hadoop Hive概念学习系列之hive三种方式区别和搭建、HiveServer2环境搭建、HWI环境搭建和beeline环境搭建（五）
https://www.cloudera.com/documentation/enterprise/latest/topics/cdh_ig_hue_config.html#concept_ezg_b2s_hl
首先，来看看官网提供的参考步骤
http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.0/manual.html
一、以下是默认的配置文件
###########################################################################
# Settings to configure Beeswax with Hive
########################################################################### [beeswax] # Host where HiveServer2 is running.
# If Kerberos security is enabled, use fully-qualified domain name (FQDN).
## hive_server_host=localhost # Port where HiveServer2 Thrift server runs on.
## hive_server_port= # Hive configuration directory, where hive-site.xml is located
## hive_conf_dir=/etc/hive/conf # Timeout in seconds for thrift calls to Hive service
## server_conn_timeout= # Choose whether to use the old GetLog() thrift call from before Hive 0.14 to retrieve the logs.
# If false, use the FetchResults() thrift call from Hive 1.0 or more instead.
## use_get_log_api=false # Set a LIMIT clause when browsing a partitioned table.
# A positive value will be set as the LIMIT. If or negative, do not set any limit.
## browse_partitioned_table_limit= # A limit to the number of rows that can be downloaded from a query.
# A value of - means there will be no limit.
# A maximum of , is applied to XLS downloads.
## download_row_limit= # 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.
# New column format is from version .
## thrift_version=
二、以下是跟我机器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模块）（本地mysql模式）
三、以下是跟我机器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模块）（本地mysql模式）
都是如下哈。因为hive说白了，是可以安装在集群之外，它就是一个客户端。
其实啊，目前Hue里的beeswax 和 hive模块是一起的。为什么叫[beeswax]而不是[hive]这是历史原因！！！
同时，是还要将hive-default.xml.template里的hive.server2.thrift.port默认属性 和 hive.server2.thrift.bind.host默认属性，
拷贝到hive-site.xml里进行修改。
<property>
<name>hive.server2.thrift.port</name>
<value></value>
</property>
<property>
<name>hive.server2.thrift.bind.host</name>
<value>bigdatamaster</value>
</property>
###########################################################################
# Settings to configure Beeswax with Hive
########################################################################### [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= # Hive configuration directory, where hive-site.xml is located
hive_conf_dir=/home/hadoop/app/hive/conf # Timeout in seconds for thrift calls to Hive service
## server_conn_timeout= # Choose whether to use the old GetLog() thrift call from before Hive 0.14 to retrieve the logs.
# If false, use the FetchResults() thrift call from Hive 1.0 or more instead.
## use_get_log_api=false # Set a LIMIT clause when browsing a partitioned table.
# A positive value will be set as the LIMIT. If or negative, do not set any limit.
## browse_partitioned_table_limit= # The maximum number of partitions that will be included in the SELECT * LIMIT sample query for partitioned tables.
## sample_table_max_partitions= # A limit to the number of rows that can be downloaded from a query.
# A value of - means there will be no limit.
# A maximum of , is applied to XLS downloads.
## download_row_limit= # 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.
# New column format is from version .
## thrift_version=
因为，Hue底层通过HiveServer2中JDBC/ODBC方式连接HIve，进行数据分析查询，需要先启动Hive中的HiveServer2服务。
所以，启动hive（在bigdatamaster节点）
$HIVE_HOME/bin/hive --service hiveserver2 或者 $HIVE_HOME/bin/hiveserver2
得到
其他，不多赘述，大家自己去看自己机器！
四、以下是跟我机器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模块）（远端mysql模式）
五、以下是跟我机器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模块）（远端mysql模式）
都是如下哈。因为hive说白了，是可以安装在集群之外，它就是一个客户端。
其实啊，目前Hue里的beeswax 和 hive模块是一起的。
比如，我这里是master、slave1和slave2组成的集群，在master和slave1上搭建的是hive的Remote模式。
看hive的官方文档
http://hive.apache.org/
master机器上
将hive-site.xml配置文件拆为如下两部分
）、服务端配置文件（比如在master）
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property> <property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.80.10:3306/hive?createDatabaseIfNotExist=true</value>
</property> <property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property> <property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
</property> <property>
<name>javax.jdo.option.ConnectionPassword</name>
<value></value>
</property>
</configuration>
slave1机器上
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property> <property>
<name>hive.metastore.local</name>
<value>false</value>
</property> <property>
<name>hive.metastore.uris</name>
<value>thrift://192.168.80.11:9083</value>
</property> </configuration>
注意，在客户端slave1，有个属性，hive.metastore.local为false。
在master节点上启动hive服务端程序
hive --service metastore
或者
hive --servie metastore -9083
注意啦，是还要将hive-default.xml.template里的hive.metastore.uris默认属性，
拷贝到hive-site.xml里进行修改。
hive.metastore.uris （在slave1机器上）
<property>
<name>hive.metastore.uris</name>
<value>thrift://192.168.80.11:9083</value>
</property>
###########################################################################
# Settings to configure Beeswax with Hive
########################################################################### [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= # Hive configuration directory, where hive-site.xml is located
hive_conf_dir=/home/hadoop/app/hive/conf # Timeout in seconds for thrift calls to Hive service
## server_conn_timeout= # Choose whether to use the old GetLog() thrift call from before Hive 0.14 to retrieve the logs.
# If false, use the FetchResults() thrift call from Hive 1.0 or more instead.
## use_get_log_api=false # Set a LIMIT clause when browsing a partitioned table.
# A positive value will be set as the LIMIT. If or negative, do not set any limit.
## browse_partitioned_table_limit= # The maximum number of partitions that will be included in the SELECT * LIMIT sample query for partitioned tables.
## sample_table_max_partitions= # A limit to the number of rows that can be downloaded from a query.
# A value of - means there will be no limit.
# A maximum of , is applied to XLS downloads.
## download_row_limit= # 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.
# New column format is from version .
## thrift_version=
最后的界面
以下是跟我机器集群匹配的配置文件（HA集群下怎么配置Hue的hive和beeswax模块）（本地和远端mysql模式）
如下：
[beeswax] # Host where HiveServer2 is running.
# If Kerberos security is enabled, use fully-qualified domain name (FQDN).
hive_server_host=bigdata-pro01.kfk.com # Port where HiveServer2 Thrift server runs on.
hive_server_port= # Hive configuration directory, where hive-site.xml is located
hive_conf_dir=/opt/modules/hive-0.13.-cdh5.3.0/conf # Timeout in seconds for thrift calls to Hive service
## server_conn_timeout= # Choose whether to use the old GetLog() thrift call from before Hive 0.14 to retrieve the logs.
# If false, use the FetchResults() thrift call from Hive 1.0 or more instead.
## use_get_log_api=false # Set a LIMIT clause when browsing a partitioned table.
# A positive value will be set as the LIMIT. If or negative, do not set any limit.
## browse_partitioned_table_limit= # A limit to the number of rows that can be downloaded from a query.
# A value of - means there will be no limit.
# A maximum of , is applied to XLS downloads.
## download_row_limit= # 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.
# New column format is from version .
## thrift_version=
先启动hivesever2
[kfk@bigdata-pro01 hive-0.13.-cdh5.3.0]$ pwd
/opt/modules/hive-0.13.-cdh5.3.0
[kfk@bigdata-pro01 hive-0.13.-cdh5.3.0]$ bin/hiveserver2
Starting HiveServer2
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/modules/hadoop-2.6./share/hadoop/common/lib/slf4j-log4j12-1.7..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/modules/hbase-0.98.-cdh5.3.0/lib/slf4j-log4j12-1.7..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
停掉hue,再启动hue
^C[kfk@bigdata-pro01 hue-3.9.-cdh5.5.0]$ ./build/env/bin/supervisor
[INFO] Not running as root, skipping privilege drop
starting server with options:
{'daemonize': False,
'host': 'bigdata-pro01.kfk.com',
'pidfile': None,
'port': ,
'server_group': 'hue',
'server_name': 'localhost',
'server_user': 'hue',
'ssl_certificate': 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': ,
'workdir': None}
成功！
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