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《OD大数据实战》Hue环境搭建

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11/28
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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.-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.-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-

  http_port=

  # 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  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=

      # Directory of the Hadoop configuration

      hadoop_conf_dir=/opt/modules/cdh/hadoop-2.5.-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-

      # The port where the ResourceManager IPC listens on

      resourcemanager_port=

      # 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-

  # Port where HiveServer2 Thrift server runs on.

  hive_server_port=

  # Hive configuration directory, where hive-site.xml is located

  hive_conf_dir=/opt/modules/cdh/hive-0.13.-cdh5.3.6/conf

  # Timeout in seconds for thrift calls to Hive service

  server_conn_timeout=

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 >& &

nohup hive --service hiveserver2 > ~/hiveserver2.run.log >& &

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=

  # 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-:)

  # HBase configuration directory, where hbase-site.xml is located.

  hbase_conf_dir=/opt/modules/cdh/hbase-0.98.-cdh5.3.6/conf

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

  ## truncate_limit = 

  # '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

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