Hue Installation Guide
======================

Introduction
------------

Hue is a graphical user interface to operate and develop applications for
Apache Hadoop. Hue applications are collected into a desktop-style environment
and delivered as a Web application, requiring no additional installation for
individual users.

This guide describes how to install and configure a Hue tarball. For
information about installing Hue packages, see
http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/CDH5-Installation-Guide/cdh5ig_cdh_hue_configure.html[Installing Hue].

There is also a companion SDK guide that describes how to develop
new Hue applications:
link:sdk/sdk.html[Hue SDK Documentation]

.Conventions Used in this Guide:
* Commands that must be run with +root+ permission have a +#+ command prompt.
* Commands that do not require +root+ permission have a +$+ command prompt.


Hue Installation Instructions
-----------------------------

The following instructions describe how to install the Hue tarball on a
multi-node cluster. You need to also install Hadoop and its satellite components
(Oozie, Hive...) and update some Hadoop configuration files before running Hue.


Install Hue
~~~~~~~~~~~

Hue consists of a web service that runs on a special node in your cluster.
Choose one node where you want to run Hue. This guide refers to that node as
the _Hue Server_. For optimal performance, this should be one of the nodes
within your cluster, though it can be a remote node as long as there are no
overly restrictive firewalls. For small clusters of less than 10 nodes,
you can use your existing master node as the Hue Server.

You can download the Hue tarball here:
gethue.com/category/release

Hue Dependencies
^^^^^^^^^^^^^^^^

Hue employs some Python modules which use native code and requires
certain development libraries be installed on your system. To install from the
tarball, you must have the following installed:

.Required Dependencies
[grid="rows"]
```~
Redhat,Ubuntu 10.04,Ubuntu 12.04/14.04
~~~~~~~~~~
gcc,gcc,gcc
g++,g++,g++
libxml2-devel,libxml2-dev,libxml2-dev
libxslt-devel,libxslt-dev,libxslt-dev
cyrus-sasl-devel,libsasl2-dev,libsasl2-dev
cyrus-sasl-gssapi,libsasl2-modules-gssapi-mit,libsasl2-modules-gssapi-mit
mysql-devel,libmysqlclient-dev,libmysqlclient-dev
python-devel,python-dev,python-dev
python-setuptools,python-setuptools,python-setuptools
python-simplejson,python-simplejson,python-simplejson
sqlite-devel,libsqlite3-dev,libsqlite3-dev
ant,ant,ant
libsasl2-dev,cyrus-sasl-devel,libsasl2-dev
libsasl2-modules-gssapi-mit,cyrus-sasl-gssapi,libsasl2-modules-gssapi-mit
libkrb5-dev,krb5-devel,libkrb5-dev
libtidy-0.99-0,libtidy,libtidy-0.99-0 (For unit tests only)
mvn,mvn (From maven2 package or tarball),mvn (From maven2/maven3 package or tarball)
openldap-dev / libldap2-dev,openldap-devel,libldap2-dev
~~~~~~~~~~

The full list is here: https://github.com/cloudera/hue#development-prerequisites

Build
^^^^^

Configure `$PREFIX` with the path where you want to install Hue by running:

  $ PREFIX=/usr/share make install
  $ cd /usr/share/hue

You can install Hue anywhere on your system, and run Hue as a non-root user.
The Shell application needs root privileges to launch various sub-processes as
the logged in users. `$USER` should be the group of the user running Hue (same as
its username).

It is a good practice to create a new user for Hue and either install Hue in
that user's home directory, or in a directory within `/usr/share`.


Troubleshooting the Hue Tarball Installation
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.Q: I moved my Hue installation from one directory to another and now Hue no
longer functions correctly.

A: Due to the use of absolute paths by some Python packages, you must run a
series of commands if you move your Hue installation. In the new location, run:

----
$ rm app.reg
$ rm -r build
$ make apps
----

.Q: Why does "make install" compile other pieces of software?

A: In order to ensure that Hue is stable on a variety of distributions and
architectures, it installs a Python virtual environment which includes its
dependencies. This ensures that the software can depend on specific versions
of various Python libraries and you don't have to be concerned about missing
software components.


Install Hadoop
-~~~~~~~~~~~~~

Depending on which apps you need, you need to make sure that some Hadoop services
are already setup (that way Hue can talk to them).  

.Dependency
[grid="rows"]
`-----------------------------------------------.------------------------
  Component      Applications                       Notes
-------------------------------------------------------------------------
  HDFS        Core, Filebrowser                  HDFS access through WebHdfs or HttpFS
  MR1         JobBrowser, JobDesigner, Beeswax   Job information access through hue-plugins
  MR2/YARN    JobBrowser, JobDesigner, Beeswax   Job information access through hue-plugins
  Oozie       JobDesigner, Oozie                 Oozie access through REST API
  Hive        Beeswax                            Requires HiveServer2
  HBase       HBase Browser                      Requires Thrift 1 service
  Pig         Pig Editor                         Requires Oozie
  Sqoop2      Sqoop Editor                       Requires Sqoop2 server
  Search      Search                             Requires Solr server
  Impala      Impala Editor                      Requires an Impalad
  ZooKeeper   ZooKeeper Browser                  Requires ZooKeeper server and REST server
  Spark       Spark Editor                       Requires Spark Jobserver
--------------------------------------------------------------------------------------


Hadoop Configuration
~~~~~~~~~~~~~~~~~~~~

Configure WebHdfs
^^^^^^^^^^^^^^^^^

You need to enable WebHdfs or run an HttpFS server. To turn on WebHDFS,
add this to your `hdfs-site.xml` and *restart* your HDFS cluster.
Depending on your setup, your `hdfs-site.xml` might be in `/etc/hadoop/conf`.

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

You also need to add this to `core-site.html`.

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

If you place your Hue Server outside the Hadoop cluster, you can run
an HttpFS server to provide Hue access to HDFS. The HttpFS service requires
only one port to be opened to the cluster.

Also add this in `httpfs-site.xml` which might be in `/etc/hadoop-httpfs/conf`.

    <property>
      <name>httpfs.proxyuser.hue.hosts</name>
      <value>*</value>
    </property>
    <property>
      <name>httpfs.proxyuser.hue.groups</name>
      <value>*</value>
    </property>


Configure MapReduce 0.23+ (MR2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hue is using only standard Hadoop APIs.


Configure MapReduce 0.20 (MR1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hue communicates with the JobTracker via the Hue plugins, which is a jar
file that you place in your MapReduce `lib` directory.

If you JobTracker and Hue are located on the same host, copy it over.

    $ cd /usr/share/hue
    $ cp desktop/libs/hadoop/java-lib/hue-plugins-*.jar /usr/lib/hadoop-0.20-mapreduce/lib

If you JobTracker runs on a different host, you need to `scp` the Hue plugins
jar to the JobTracker host.

Then add this to your `mapred-site.xml` and *restart* your JobTracker.
Depending on your setup, your `mapred-site.xml` might be in `/etc/hadoop/conf`.

    <property>
      <name>jobtracker.thrift.address</name>
      <value>0.0.0.0:9290</value>
    </property>
    <property>
      <name>mapred.jobtracker.plugins</name>
      <value>org.apache.hadoop.thriftfs.ThriftJobTrackerPlugin</value>
      <description>Comma-separated list of jobtracker plug-ins to be activated.</description>
    </property>

You can confirm that the plugins are running correctly by tailing the daemon
logs:

    $ tail --lines=500 /var/log/hadoop-0.20/hadoop*jobtracker*.log | grep ThriftPlugin
    2009-09-28 16:30:44,337 INFO org.apache.hadoop.thriftfs.ThriftPluginServer: Starting Thrift server
    2009-09-28 16:30:44,419 INFO org.apache.hadoop.thriftfs.ThriftPluginServer:
    Thrift server listening on 0.0.0.0:9290


Configure Oozie
^^^^^^^^^^^^^^^

Hue submits MapReduce jobs to Oozie as the logged in user. You need to
configure Oozie to accept the `hue` user to be a proxyuser. Specify this in
your `oozie-site.xml` (even in a non-secure cluster), and restart Oozie:

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



Further Hadoop Configuration and Caveats
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

`HADOOP_CLASSPATH` Caveat
^^^^^^^^^^^^^^^^^^^^^^^^^

If you are setting `$HADOOP_CLASSPATH` in your `hadoop-env.sh`, be sure
to set it in such a way that user-specified options are preserved.  For example:

Correct:

    # HADOOP_CLASSPATH=<your_additions>:$HADOOP_CLASSPATH

Incorrect:

    # HADOOP_CLASSPATH=<your_additions>

This enables certain components of Hue to add to
Hadoop's classpath using the environment variable.

`hadoop.tmp.dir`
^^^^^^^^^^^^^^^^

If your users are likely to be submitting jobs both using Hue and from the
same machine via the command line interface, they will be doing so as the `hue`
user if they're using Hue and via their own user account on the command line.
This leads to some contention on the directory specified by `hadoop.tmp.dir`,
which defaults to `/tmp/hadoop-${user.name}`. Specifically, `hadoop.tmp.dir`
is used to unpack jars in `bin/hadoop jar`. One work around to this is
to set `hadoop.tmp.dir` to `/tmp/hadoop-${user.name}-${hue.suffix}` in the
core-site.xml file:

    <property>
      <name>hadoop.tmp.dir</name>
      <value>/tmp/hadoop-${user.name}${hue.suffix}</value>
    </property>

Unfortunately, when the variable is unset, you'll end up
with directories named `/tmp/hadoop-user_name-${hue.suffix}` in
`/tmp`.  Despite that, Hue will still work.

IMPORTANT: The Beeswax server writes into a local directory on the Hue machine
that is specified by `hadoop.tmp.dir` to unpack its jars. That directory
needs to be writable by the `hue` user, which is the default user who starts
Beeswax Server, or else Beeswax server will not start. You may also make that
directory world-writable.


Configuring Your Firewall for Hue
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hue currently requires that the machines within your cluster can connect to
each other freely over TCP. The machines outside your cluster must be able to
open TCP port 8888 on the Hue Server (or the configured Hue web HTTP port)
to interact with the system.


Hive Configuration
~~~~~~~~~~~~~~~~~~

Hue's Beeswax application helps you use Hive to query your data.
It depends on a Hive Server 2 running in the cluster. Please read
this section to ensure a proper integration.

Your Hive data is stored in HDFS, normally under `/user/hive/warehouse`
(or any path you specify as `hive.metastore.warehouse.dir` in your
`hive-site.xml`).  Make sure this location exists and is writable by
the users whom you expect to be creating tables.  `/tmp` (on the local file
system) must be world-writable (1777), as Hive makes extensive use of it.

[NOTE]

In `hue.ini`, modify `hive_conf_dir` to point to the
directory containing `hive-site.xml`.


Configuring Hue
---------------

Hue ships with a default configuration that will work for
pseudo-distributed clusters.  If you are running on a real cluster, you must
make a few changes to the `hue.ini` configuration file (`/etc/hue/hue.ini` when installed from the
package version) or `pseudo-distributed.ini` in `desktop/conf` when in development mode).
The following sections describe the key configuration options you must make to configure Hue.


[TIP]
.Listing all Configuration Options
============================================================
To list all available configuration options, run:

    $ /usr/share/hue/build/env/bin/hue config_help | less

This commands outlines the various sections and options in the configuration,
and provides help and information on the default values.
============================================================

[TIP]
.Viewing Current Configuration Options
============================================================
To view the current configuration from within Hue, open:

    http://<hue>/dump_config
============================================================

[TIP]
.Using Multiple Files to Store Your Configuration
============================================================
Hue loads and merges all of the files with extension `.ini`
located in the `/etc/hue` directory.  Files that are alphabetically later
take precedence.
============================================================


Web Server Configuration
~~~~~~~~~~~~~~~~~~~~~~~~

These configuration variables are under the `[desktop]` section in
the `hue.ini` configuration file.

Specifying the Hue HTTP Address
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hue uses CherryPy web server.  You can use the following options to
change the IP address and port that the web server listens on.
The default setting is port 8888 on all configured IP addresses.

    # Webserver listens on this address and port
    http_host=0.0.0.0
    http_port=8888

Specifying the Secret Key
^^^^^^^^^^^^^^^^^^^^^^^^^

For security, you should also specify the secret key that is used for secure
hashing in the session store. Enter a long series of random characters
(30 to 60 characters is recommended).

    secret_key=jFE93j;2[290-eiw.KEiwN2s3['d;/.q[eIW^y#e=+Iei*@Mn<qW5o

NOTE: If you don't specify a secret key, your session cookies will not be
secure. Hue will run but it will also display error messages telling you to
set the secret key.

Authentication
^^^^^^^^^^^^^^

By default, the first user who logs in to Hue can choose any
username and password and becomes an administrator automatically.  This
user can create other user and administrator accounts.  User information is
stored in the Django database in the Django backend.

The authentication system is pluggable. For more information, see the
link:sdk/sdk.html[Hue SDK Documentation].

Configuring Hue for SSL
^^^^^^^^^^^^^^^^^^^^^^^

You can configure Hue to serve over HTTPS.  To do so, you must install
"pyOpenSSL" within Hue's context and configure your keys.

To install `pyOpenSSL`, from the root of your Hue installation path,
do the following steps:

1. Run this command:

    $ ./build/env/bin/easy_install pyOpenSSL

2. Configure Hue to use your private key by adding the following
options to the `hue.ini` configuration file:

    ssl_certificate=/path/to/certificate
    ssl_private_key=/path/to/key

3. Ideally, you would have an appropriate key signed by a Certificate Authority.
If you're just testing, you can create a self-signed key using the `openssl`
command that may be installed on your system:

    ### Create a key
    $ openssl genrsa 1024 > host.key
    ### Create a self-signed certificate
    $ openssl req -new -x509 -nodes -sha1 -key host.key > host.cert


[NOTE]
.Self-signed Certificates and File Uploads
============================================================
To upload files using the Hue File Browser over HTTPS requires
using a proper SSL Certificate.  Self-signed certificates don't
work.
============================================================

Hue Configuration for Hadoop
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

These configuration variables are under the `[hadoop]` section in
the `hue.ini` configuration file.


HDFS Cluster
^^^^^^^^^^^^

Hue only support one HDFS cluster currently. That cluster should be defined
under the `[[[default]]]` sub-section.

fs_defaultfs::
  This is the equivalence of `fs.defaultFS` (aka `fs.default.name`) in
  Hadoop configuration.

webhdfs_url::
  You can also set this to be the HttpFS url. The default value is the HTTP
  port on the NameNode.

hadoop_hdfs_home::
  This is the home of your Hadoop HDFS installation. It is the
  root of the Hadoop untarred directory, or usually
  `/usr/lib/hadoop`.

hadoop_bin::
  Use this as the HDFS Hadoop launcher script, which is usually
  `/usr/bin/hadoop`.

hadoop_conf_dir::
  This is the configuration directory of the HDFS, typically
  `/etc/hadoop/conf`.


MapReduce (MR1) Cluster
^^^^^^^^^^^^^^^^^^^^^^^

Hue only support one MapReduce cluster currently. That cluster should be defined
under the `[[[default]]]` sub-section. Note that JobBrowser only works with MR1.

jobtracker_host::
  The host running the JobTracker. In a secured environment, this needs to
  be the FQDN of the JobTracker host, and match the "host" portion of the
  `mapred' Kerberos principal full name.

jobtracker_port::
  The port for the JobTracker IPC service.

submit_to::
  If your Oozie is configured with to talk to a 0.20 MapReduce service, then
  set this to `true`. Hue will be submitting jobs to this MapReduce cluster.


Yarn (MR2) Cluster
^^^^^^^^^^^^^^^^^^

Hue only support one Yarn cluster currently. That cluster should be defined
under the `[[[default]]]` sub-section.

resourcemanager_host::
  The host running the ResourceManager.

resourcemanager_port::
  The port for the ResourceManager IPC service.

submit_to::
  If your Oozie is configured with to talk to a Yarn cluster, then
  set this to `true`. Hue will be submitting jobs to this Yarn cluster.
  But note that JobBrowser will not be able to show MR2 jobs.


Beeswax Configuration
~~~~~~~~~~~~~~~~~~~~~

In the `[beeswax]` section of the configuration file, you can
_optionally_ specify the following:

beeswax_server_host::
  The hostname or IP that the Hive Server should bind to. By
  default it binds to `localhost`, and therefore only serves local
  IPC clients.

hive_home_dir::
  The base directory of your Hive installation.

hive_conf_dir::
  The directory containing your `hive-site.xml` Hive
  configuration file.


JobDesigner and Oozie Configuration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

In the `[liboozie]` section of the configuration file, you should
specify:

oozie_url::
  The URL of the Oozie service. It is the same as the `OOZIE_URL`
  environment variable for Oozie.


UserAdmin Configuration
~~~~~~~~~~~~~~~~~~~~~~~

In the `[useradmin]` section of the configuration file, you can
_optionally_ specify the following:

default_user_group::
  The name of a default group that is suggested when creating a
  user manually. If the LdapBackend or PamBackend are configured
  for doing user authentication, new users will automatically be
  members of the default group.


Configuration Validation
~~~~~~~~~~~~~~~~~~~~~~~~

Hue can detect certain invalid configuration. It will show a red alert icon on
the top navigation bar. image:images/val.png[]

To view the configuration of a running Hue instance, navigate to
`http://myserver:8888/dump_config`, also accessible through the About
application.


Starting Hue from the Tarball
-----------------------------

After your cluster is running with the plugins enabled, you can start Hue on
your Hue Server by running:

    # build/env/bin/supervisor

This will start several subprocesses, corresponding to the different Hue
components. Your Hue installation is now running.


Administering Hue
-----------------

Now that you've installed and started Hue, you can feel free to skip ahead
to the <<usage,Using Hue>> section. Administrators may want to refer to this
section for more details about managing and operating a Hue installation.

Hue Processes
~~~~~~~~~~~~~

Process User
^^^^^^^^^^^^
Filebrowser requires Hue to be running as the 'hue' user.

Process Hierarchy
^^^^^^^^^^^^^^^^^

A script called `supervisor` manages all Hue processes. The supervisor is a
watchdog process -- its only purpose is to spawn and monitor other processes.
A standard Hue installation starts and monitors the following processes:

* `runcpserver` - a web server based on CherryPy that provides the core web
functionality of Hue

If you have installed other applications into your Hue instance, you may see
other daemons running under the supervisor as well.

You can see the supervised processes running in the output of `ps -f -u hue`:

  UID        PID  PPID  C STIME TTY          TIME CMD
  hue       8685  8679  0 Aug05 ?        00:01:39 /usr/share/hue/build/env/bin/python /usr/share/hue/build/env/bin/desktop runcpserver

Note that the supervisor automatically restarts these processes if they fail for
any reason. If the processes fail repeatedly within a short time, the supervisor
itself shuts down.

[[logging]]
Hue Logging
~~~~~~~~~~~

The Hue logs are found in `/var/log/hue`, or in a `logs` directory under your
Hue installation root. Inside the log directory you can find:

* An `access.log` file, which contains a log for all requests against the Hue
web server.
* A `supervisor.log` file, which contains log information for the supervisor
process.
* A `supervisor.out` file, which contains the stdout and stderr for the
supervisor process.
* A `.log` file for each supervised process described above, which contains
the logs for that process.
* A `.out` file for each supervised process described above, which contains
the stdout and stderr for that process.

If users on your cluster have problems running Hue, you can often find error
messages in these log files. If you are unable to start Hue from the init
script, the `supervisor.log` log file can often contain clues.

Viewing Recent Log Messages Online
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

In addition to logging `INFO` level messages to the `logs` directory, the Hue
web server keeps a small buffer of log messages at all levels in memory. You can
view these logs by visiting `http://myserver:8888/logs`. The `DEBUG` level
messages shown can sometimes be helpful in troubleshooting issues.


The Hue Database
~~~~~~~~~~~~~~~~

Hue requires a SQL database to store small amounts of data, including user
account information as well as history of job submissions and Hive queries.
By default, Hue is configured to use the embedded database SQLite for this
purpose, and should require no configuration or management by the administrator.
However, MySQL is the recommended database to use. This section contains
instructions for configuring Hue to access MySQL and other databases.

Inspecting the Hue Database
^^^^^^^^^^^^^^^^^^^^^^^^^^^

The default SQLite database used by Hue is located in: `/usr/share/hue/desktop/desktop.db`.
You can inspect this database from the command line using the `sqlite3`
program or typing `/usr/share/hue/build/env/bin/hue dbshell'. For example:

  # sqlite3 /usr/share/hue/desktop/desktop.db
  SQLite version 3.6.22
  Enter ".help" for instructions
  Enter SQL statements terminated with a ";"
  sqlite> select username from auth_user;
  admin
  test
  sample
  sqlite>

It is strongly recommended that you avoid making any modifications to the
database directly using SQLite, though this trick can be useful for management
or troubleshooting.

Backing up the Hue Database
^^^^^^^^^^^^^^^^^^^^^^^^^^^

If you use the default SQLite database, then copy the `desktop.db` file to
another node for backup. It is recommended that you back it up on a regular
schedule, and also that you back it up before any upgrade to a new version of
Hue.

Configuring Hue to Access Another Database
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Although SQLite is the default database type, some advanced users may prefer
to have Hue access an alternate database type. Note that if you elect to
configure Hue to use an external database, upgrades may require more manual
steps in the future.

The following instructions are for MySQL, though you can also configure Hue to
work with other common databases such as PostgreSQL and Oracle.

[NOTE]
.Tested Database Backends
============================================================
Note that Hue has only been tested with SQLite and MySQL database backends.
============================================================

Configuring Hue to Store Data in MySQL
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To configure Hue to store data in MySQL:

1. Create a new database in MySQL and grant privileges to a Hue user to manage
   this database.

  mysql> create database hue;
  Query OK, 1 row affected (0.01 sec)
  mysql> grant all on hue.* to 'hue'@'localhost' identified by 'secretpassword';
  Query OK, 0 rows affected (0.00 sec)

2. Shut down Hue if it is running.
3. To migrate your existing data to MySQL, use the following command to dump the
   existing database data to a text file. Note that using the ".json" extension
   is required.

  $ /usr/share/hue/build/env/bin/hue dumpdata > <some-temporary-file>.json

4. Open the `hue.ini` file in a text editor. Directly below the
   `[[database]]` line, add the following options (and modify accordingly for
   your MySQL setup):

  host=localhost
  port=3306
  engine=mysql
  user=hue
  password=secretpassword
  name=hue

5. As the Hue user, configure Hue to load the existing data and create the
   necessary database tables:

  $ /usr/share/hue/build/env/bin/hue syncdb --noinput
  $ mysql -uhue -psecretpassword -e "DELETE FROM hue.django_content_type;"
  $ /usr/share/hue/build/env/bin/hue loaddata <temporary-file-containing-dumped-data>.json

Your system is now configured and you can start the Hue server as normal.


[[usage]]
Using Hue
---------

After installation, you can use Hue by navigating to `http://myserver:8888/`.
The following login screen appears:

image:images/login.png[]

The Help application guides users through the various installed applications.

Supported Browsers
~~~~~~~~~~~~~~~~~~

* Windows: Chrome, Firefox 3.6+, Internet Explorer 9+, Safari 5+
* Linux : Chrome, Firefox 3.6+
* Mac: Chrome, Firefox 3.6+, Safari 5+

Feedback
~~~~~~~~

Your feedback is welcome. The best way to send feedback is to join the
https://groups.google.com/a/cloudera.org/group/hue-user[mailing list], and
send e-mail, to mailto:hue-user@cloudera.org[hue-user@cloudera.org].

Reporting Bugs
~~~~~~~~~~~~~~

If you find that something doesn't work, it'll often be helpful to include logs
from your server. (See the <<logging,Hue Logging>> section. Please include the
logs as a zip (or cut and paste the ones that look relevant) and send those with
your bug reports.
image:images/logs.png[]
