HUE配置文件hue.ini 的hive和beeswax模块详解（图文详解）（分HA集群和非HA集群）

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！

欢迎大家，加入我的微信公众号：大数据躺过的坑        人工智能躺过的坑

 

 

 

同时，大家可以关注我的个人博客：

   http://www.cnblogs.com/zlslch/   和     http://www.cnblogs.com/lchzls/      http://www.cnblogs.com/sunnyDream/   

   详情请见：http://www.cnblogs.com/zlslch/p/7473861.html

　　人生苦短，我愿分享。本公众号将秉持活到老学到老学习无休止的交流分享开源精神，汇聚于互联网和个人学习工作的精华干货知识，一切来于互联网，反馈回互联网。
　　目前研究领域：大数据、机器学习、深度学习、人工智能、数据挖掘、数据分析。 语言涉及：Java、Scala、Python、Shell、Linux等 。同时还涉及平常所使用的手机、电脑和互联网上的使用技巧、问题和实用软件。 只要你一直关注和呆在群里，每天必须有收获

对应本平台的讨论和答疑QQ群：大数据和人工智能躺过的坑（总群）（161156071）