Welcome to the repository for Hue
=================================
.. note::
This is the development-oriented readme. If you want to write notes for
end users, please put them in ``dist/README``.
Hue is both a Web UI for Hadoop and a framework to create interactive Web
applications. It features:
* FileBrowser for accessing HDFS
* Job Designer for creating MapReduce/Streaming/Java jobs
* Oozie App for submitting and scheduling workflows
* JobBrowser for viewing MapReduce jobs
* Beeswax application for executing Hive queries
* A Pig/HBase shell
On top of that, a SDK is available for creating new apps integrated with Hadoop.
More documentation is available at http://cloudera.github.com/hue/.
Getting Started
===============
To build and get the core server running::
$ git clone http://github.com/cloudera/hue.git
$ cd hue
$ make apps
$ build/env/bin/hue runserver
If using the Beeswax application, start the daemon::
$ build/env/bin/hue beeswax_server
Now Hue should be running on http://localhost:8000.
The configuration in development mode is ``desktop/conf/pseudo-distributed.ini``.
Note: to start all the servers in one command (but lose the automatic reloading after source modification)::
$ build/env/bin/supervisor
To run the tests::
$ build/env/bin/hue test all
$ build/env/bin/hue test specific filebrowser
$ build/env/bin/hue test specific jobbrowser.tests:test_get_path
Development Prerequisites
===========================
You'll need these library development packages and tools installed on
your system:
Ubuntu:
* ant
* gcc
* g++
* libkrb5-dev
* libmysqlclient-dev
* libssl-dev
* libsasl2-dev
* libsasl2-modules-gssapi-mit
* libsqlite3-dev
* libtidy-0.99-0 (for unit tests only)
* libxml2-dev
* libxslt-dev
* mvn (from ``maven2`` package or tarball)
* openldap-dev / libldap2-dev
* python-dev
* python-simplejson
* python-setuptools
CentOS:
* ant
* asciidoc
* cyrus-sasl-devel
* cyrus-sasl-gssapi
* gcc
* gcc-c++
* krb5-devel
* libtidy (for unit tests only)
* libxml2-devel
* libxslt-devel
* mvn (from ``maven2`` package or tarball)
* mysql
* mysql-devel
* openldap-devel
* python-devel
* python-simplejson
* sqlite-devel
MacOS (mac port):
* liblxml
* libxml2
* libxslt
* mysql5-devel
* simplejson (easy_install)
* sqlite3
File Layout
===========
The Hue "framework" is in ``desktop``. ``/core/`` contains the Web components and
``desktop/libs/`` the API for talking to Hadoop.
The installable apps live in ``apps/``. Please place third-party dependencies in the app's ext-py/
directory.
The typical directory structure for inside an application includes:
src/
for Python/Django code
models.py
urls.py
views.py
forms.py
settings.py
conf/
for configuration (``.ini``) files to be installed
static/
for static HTML/js resources and help doc
templates/
for data to be put through a template engine
locales/
for localizations in multiple languages
For the URLs within your application, you should make your own ``urls.py``
which will be automatically rooted at ``/yourappname/`` in the global
namespace. See ``apps/about/src/about/urls.py`` for an example.
Main Stack
==========
* Python 2.4 - 2.7
* Django 1.2 https://docs.djangoproject.com/en/1.2/
* Mako
* jQuery
* Bootstrap
Using and Installing Thrift
===========================
Right now, we check in the generated thrift code.
To generate the code, you'll need the thrift binary version 0.7.0.
Please download from http://thrift.apache.org/.
The modules using ``Thrift`` have some helper scripts like ``regenerate_thrift.sh``
for regenerating the code from the interfaces.
Profiling Hue Apps
==================
Hue has a profiling system built in, which can be used to analyze server-side
performance of applications. To enable profiling::
$ build/env/bin/hue runprofileserver
Then, access the page that you want to profile. This will create files like
/tmp/useradmin.users.000072ms.2011-02-21T13:03:39.745851.prof. The format for
the file names is /tmp/....prof.
Hue uses the hotshot profiling library for instrumentation. The documentation
for this library is located at: http://docs.python.org/library/hotshot.html.
You can use kcachegrind to view the profiled data graphically::
$ hotshot2calltree /tmp/xyz.prof > /tmp/xyz.trace
$ kcachegrind /tmp/xyz.trace
More generally, you can programmatically inspect a trace::
#!/usr/bin/python
import hotshot.stats
import sys
stats = hotshot.stats.load(sys.argv[1])
stats.sort_stats('cumulative', 'calls')
stats.print_stats(100)
This script takes in a .prof file, and orders function calls by the cumulative
time spent in that function, followed by the number of times the function was
called, and then prints out the top 100 time-wasters. For information on the
other stats available, take a look at this website:
http://docs.python.org/library/profile.html#pstats.Stats
Internationalization
====================
How to update all the messages and compile them::
$ make locales
How to update and compile the messages of one app::
$ cd apps/beeswax
$ make compile-locale
How to create a new locale for an app::
$ cd $APP_ROOT/src/$APP_NAME/locale
$ $HUE_ROOT/build/env/bin/pybabel init -D django -i en_US.pot -d . -l fr
License
=======
Apache License, Version 2.0
http://www.apache.org/licenses/LICENSE-2.0