《OD大数据实战》Hue环境搭建

官网：

http://archive.cloudera.com/cdh5/cdh/5/hue-3.7.0-cdh5.3.6/

一、Hue环境搭建

1. 下载

http://archive.cloudera.com/cdh5/cdh/5/hue-3.7.0-cdh5.3.6.tar.gz

2. 解压

tar -zxvf hue-3.7.0-cdh5.3.6.tar.gz -C /opt/modules/cdh/

3. 安装依赖包

sudo 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 mysql-devel gmp-devel

4. 编译安装

cd /opt/modules/cdh/hue-3.7.0-cdh5.3.6/

make apps

5. 启动

build/env/bin/supervisor

首次登陆需要设置用户名和密码，为了方便，建议使用hdfs有权限的用户

二、集成

1. [desktop]

  # Set this to a random string, the longer the better.
  # This is used for secure hashing in the session store.
  secret_key=hue_session_store_secret_key_30_60_character

  # Webserver listens on this address and port
  http_host=beifeng-hadoop-02
  http_port=8888

  # Time zone name
  time_zone=Asia/Shanghai

2. 集成hdfs，yarn

1）配置hue.ini中的hdfs

[hadoop]

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

    [[[default]]]
      # Enter the filesystem uri
      fs_defaultfs=hdfs://beifeng-hadoop-02:9000

      # 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://beifeng-hadoop-02:50070/webhdfs/v1
      # webhdfs_url=http://beifeng-hadoop-02:14000/webhdfs/v1

      # 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=/opt/modules/cdh/hadoop-2.5.0-cdh5.3.6/etc/hadoop

2）配置hdfs-site.xml

<configuration>

        <!-- 数据副本数，副本数等于所有datanode的总和 -->
        <property>
                <name>dfs.replication</name>
                <value>1</value>
        </property>

        <property>
                <name>dfs.namenode.secondary.http-address</name>
                <value>beifeng-hadoop-02:50090</value>
        </property>

        <property>
                <name>dfs.permissions.enabled</name>
                <value>false</value>
        </property>

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

3）配置core-site.xml

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

4）配置httpfs-site.xml

<configuration>
   
   <!-- HUI -->
   <property>
      <name>hadoop.proxyuser.hue.hosts</name>
      <value>*</value>
   </property>
   <property>
      <name>hadoop.proxyuser.hue.groups</name>
      <value>*</value>
   </property>
   
</configuration>

5）配置hue.ini中的yarn

  [[yarn_clusters]]

    [[[default]]]
      # Enter the host on which you are running the ResourceManager
      resourcemanager_host=beifeng-hadoop-02

      # 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://beifeng-hadoop-02:8088

      # URL of the ProxyServer API
      proxy_api_url=http://beifeng-hadoop-02:8088

      # URL of the HistoryServer API
      istory_server_api_url=http://beifeng-hadoop-02:19888

5）重启hdfs集群

6）启动httpfs

sbin/httpfs.sh start 

3. 集成hive

1）修改hui中的beeswax

  # Host where HiveServer2 is running.
  # If Kerberos security is enabled, use fully-qualified domain name (FQDN).
  hive_server_host=beifeng-hadoop-02

  # 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/cdh/hive-0.13.1-cdh5.3.6/conf

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

2）修改hive-site.xml

<property>
  <name>hive.server2.authentication</name>
  <value>NOSASL</value>
  <description>
    Client authentication types.
       NONE: no authentication check
       LDAP: LDAP/AD based authentication
       KERBEROS: Kerberos/GSSAPI authentication
       CUSTOM: Custom authentication provider
               (Use with property hive.server2.custom.authentication.class)
       PAM: Pluggable authentication module.
  </description>
</property>

3）重新启动hiveserver2

nohup hive --service metastore > ~/hive_metastore.run.log 2>&1 &
nohup hive --service hiveserver2 > ~/hiveserver2.run.log 2>&1 &

4）使用hue检验hive 

4. 集成oozie

1）在oozie-site.xml添加以下配置

    <!-- Default proxyuser configuration for Hue -->
    <property>
        <name>oozie.service.ProxyUserService.proxyuser.hue.hosts</name>
        <value>*</value>
    </property>

    <property>
        <name>oozie.service.ProxyUserService.proxyuser.hue.groups</name>
        <value>*</value>
    </property>

2）在hue.ini中启用oozie的配置

[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://beifeng-hadoop-02:11000/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/hue/oozie/deployments


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

[oozie]
  # Location on local FS where the examples are stored.
  ## local_data_dir=..../examples

  # Location on local FS where the data for the examples is stored.
  ## sample_data_dir=...thirdparty/sample_data

  # Location on HDFS where the oozie examples and workflows are stored.
  remote_data_dir=/user/hue/oozie/workspaces

  # 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

3）解决问题/user/oozie/share/lib Oozie 分享库 (Oozie Share Lib) 无法安装到默认位置。

（1）修改oozie-site.xml

    <property>
        <name>oozie.service.WorkflowAppService.system.libpath</name>
        <value>/user/ooozie/share/lib</value>
        <description>
            System library path to use for workflow applications.
            This path is added to workflow application if their job properties sets
            the property 'oozie.use.system.libpath' to true.
        </description>
    </property>

（2）将共享依赖包解压上传hdfs的/user/oozie/share/lib

bin/oozie-setup.sh sharelib create -fs hdfs://beifeng-hadoop-02:9000/ -locallib oozie-sharelib-4.0.0-cdh5.3.6-yarn.tar.gz

（3）重新启动oozie

（4）重新启动hue

5. 集成HBase

1）修改hue.ini中HBase相关配置

[hbase]
  # Comma-separated list of HBase Thrift servers for clusters in the format of '(name|host:port)'.
  # Use full hostname with security.
  hbase_clusters=(HBaseCluster|beifeng-hadoop-02:9090)

  # HBase configuration directory, where hbase-site.xml is located.
  hbase_conf_dir=/opt/modules/cdh/hbase-0.98.6-cdh5.3.6/conf

  # Hard limit of rows or columns per row fetched before truncating.
  ## truncate_limit = 500

  # 'buffered' is the default of the HBase Thrift Server and supports security.
  # 'framed' can be used to chunk up responses,
  # which is useful when used in conjunction with the nonblocking server in Thrift.
  ## thrift_transport=buffered

2）启动HBase

bin/start-hbase.sh

3）启动thrift server

bin/hbase-daemon.sh start thrift