HUE配置文件hue.ini 的hive和beeswax模塊詳解（圖文詳解）（分HA集群和非HA集群）

 

 

不多說，直接上干貨！

 

 

　　我的集群機器情況是 bigdatamaster（192.168.80.10）、bigdataslave1（192.168.80.11）和bigdataslave2（192.168.80.12）

　　然后，安裝目錄是在/home/hadoop/app下。

 

　　官方建議在master機器上安裝Hue，我這里也不例外。安裝在bigdatamaster機器上。

 

　Hue版本：hue-3.9.0-cdh5.5.4

 需要編譯才能使用（聯網）


　說給大家的話：大家電腦的配置好的話，一定要安裝cloudera manager。畢竟是一家人的。
同時，我也親身經歷過，會有部分組件版本出現問題安裝起來要個大半天時間去排除，做好心里准備。廢話不多說，因為我目前讀研，自己筆記本電腦最大8G，只能玩手動來練手。
純粹是為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群里搭建好cloudera manager 以及 ambari都有。

大數據領域兩大最主流集群管理工具Ambari和Cloudera Manger

Cloudera安裝搭建部署大數據集群（圖文分五大步詳解）（博主強烈推薦）

Ambari安裝搭建部署大數據集群（圖文分五大步詳解）（博主強烈推薦）

 

 

 

 

 

 

 

　　首先，在這里，先給大家普及知識。

對於hive的安裝是有3種方式的:

1.本地derby

2.本地mysql （比如master、slave1、slave2集群。hive一般我是安裝在master上）（也叫作hive單用戶模式）

　　當然，你也來個master、slave1、slave2集群，外加client專門來安裝hive、sqoop、azkaban這樣的。

　　或者，你也來個master、slave1、slave2、slave3、slave4集群，hive一般我也是安裝在master上。

3..遠端mysql （在主從上配）（也叫作hive多用戶模式）

　　（比如master、slave1、slave2集群。hive一般我是安裝在master和slave1上）

　　或者，你也來個master、slave1、slave2、slave3、slave4集群，hive一般我也是安裝在master和slave1上。

Hadoop Hive概念學習系列之hive三種方式區別和搭建、HiveServer2環境搭建、HWI環境搭建和beeline環境搭建（五）

 

 

 

 

https://www.cloudera.com/documentation/enterprise/latest/topics/cdh_ig_hue_config.html#concept_ezg_b2s_hl

 

 

 

 

 

　　　　首先，來看看官網提供的參考步驟

 

http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.0/manual.html

 

 

 

 

 

 

 

 

 

 

一、以下是默認的配置文件

 

###########################################################################
# 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=10000

  # 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=120

  # 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 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.
  # New column format is from version 7.
  ## thrift_version=7

 

 

 

 

 

 

二、以下是跟我機器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模塊）（本地mysql模式）

三、以下是跟我機器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模塊）（本地mysql模式）

　　都是如下哈。因為hive說白了，是可以安裝在集群之外，它就是一個客戶端。

 

 

　　其實啊，目前Hue里的beeswax 和 hive模塊是一起的。為什么叫[beeswax]而不是[hive]這是歷史原因！！！

 

 

 

 

 　　

　　同時，是還要將hive-default.xml.template里的hive.server2.thrift.port默認屬性 和 hive.server2.thrift.bind.host默認屬性，

拷貝到hive-site.xml里進行修改。

        <property>
                <name>hive.server2.thrift.port</name>
                <value>10000</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=10000

  # 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=120

  # 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 0 or negative, do not set any limit.
  ## browse_partitioned_table_limit=250

  # The maximum number of partitions that will be included in the SELECT * LIMIT sample query for partitioned tables.
  ## sample_table_max_partitions=10

  # 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.
  # New column format is from version 7.
  ## thrift_version=7

 

 

 

 

 　　因為，Hue底層通過HiveServer2中JDBC/ODBC方式連接HIve，進行數據分析查詢，需要先啟動Hive中的HiveServer2服務。

 

 　　所以，啟動hive（在bigdatamaster節點）

$HIVE_HOME/bin/hive --service hiveserver2


或者


$HIVE_HOME/bin/hiveserver2

 

 

 

 　　得到

 

 

 

 

 

 

 

 

 

 

 

 

 

 

　

　　　其他，不多贅述，大家自己去看自己機器！

 

 

 

 

 

 

 

 

 

 

 

 

 

 

四、以下是跟我機器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模塊）（遠端mysql模式）

五、以下是跟我機器集群匹配的配置文件（非HA集群下怎么配置Hue的hive和beeswax模塊）（遠端mysql模式）

　　都是如下哈。因為hive說白了，是可以安裝在集群之外，它就是一個客戶端。

 

 

 

 

　　其實啊，目前Hue里的beeswax 和 hive模塊是一起的。

 

 

 

 

 

 

 　　比如，我這里是master、slave1和slave2組成的集群，在master和slave1上搭建的是hive的Remote模式。

 

 

 

 

看hive的官方文檔

http://hive.apache.org/

 

 

 

 

 

 

 

 

 　　master機器上

將hive-site.xml配置文件拆為如下兩部分
1）、服務端配置文件（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>123456</value> 
</property> 
</configuration>

 

 

 

 

 

　　slave1機器上

<?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，在客戶端slave1，有個屬性，hive.metastore.local為false。

 

 

　　在master節點上啟動hive服務端程序
hive --service metastore

或者

hive  --servie metastore -9083

 

 

 

 

　　注意啦，是還要將hive-default.xml.template里的hive.metastore.uris默認屬性，

拷貝到hive-site.xml里進行修改。

　　hive.metastore.uris  （在slave1機器上）

<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=10000

  # 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=120

  # 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 0 or negative, do not set any limit.
  ## browse_partitioned_table_limit=250

  # The maximum number of partitions that will be included in the SELECT * LIMIT sample query for partitioned tables.
  ## sample_table_max_partitions=10

  # 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.
  # New column format is from version 7.
  ## thrift_version=7

　

 

　　　最后的界面

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

　　以下是跟我機器集群匹配的配置文件（HA集群下怎么配置Hue的hive和beeswax模塊）（本地和遠端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=10000

  # Hive configuration directory, where hive-site.xml is located
  hive_conf_dir=/opt/modules/hive-0.13.1-cdh5.3.0/conf

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

  # 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 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.
  # New column format is from version 7.
  ## thrift_version=7

 

 

 

 

　　先啟動hivesever2

[kfk@bigdata-pro01 hive-0.13.1-cdh5.3.0]$ pwd
/opt/modules/hive-0.13.1-cdh5.3.0
[kfk@bigdata-pro01 hive-0.13.1-cdh5.3.0]$ bin/hiveserver2 
Starting HiveServer2
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/modules/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/modules/hbase-0.98.6-cdh5.3.0/lib/slf4j-log4j12-1.7.5.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,再啟動hue

^C[kfk@bigdata-pro01 hue-3.9.0-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': 8888,
 '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': 40,
 'workdir': None}

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

　　成功！

 

 

 

 

 

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