Žiadny popis

Romain Rigaux 1adc980d8d [oozie] A cloned job has a wrong deployment directory 13 rokov pred
apps 1adc980d8d [oozie] A cloned job has a wrong deployment directory 13 rokov pred
desktop 1adc980d8d [oozie] A cloned job has a wrong deployment directory 13 rokov pred
dist c7e29b51f7 HUE-662. [config] Each Hadoop hdfs/mr/yarn cluster to define its own env 13 rokov pred
docs 5102dd45e5 [doc] Warn SDK users about using released downloads 13 rokov pred
ext cdda28f1c5 [core] Remove unused AspectJ 13 rokov pred
maven 82a7b6eb8c [build] Updated version to 2.1.0 13 rokov pred
tools b29ffbee45 [core] Update version of snapshots used by Jenkins 13 rokov pred
.gitattributes ae333e405b hue (formerly Cloudera Desktop) from internal commit 4694ac0434dad85170854c5378a389585d87f679 15 rokov pred
.gitignore e2cc325853 HUE-787 [Desktop] Config dump view uses raw values instead of type cased values in template. 13 rokov pred
.jslintrc ae333e405b hue (formerly Cloudera Desktop) from internal commit 4694ac0434dad85170854c5378a389585d87f679 15 rokov pred
LICENSE.txt ae333e405b hue (formerly Cloudera Desktop) from internal commit 4694ac0434dad85170854c5378a389585d87f679 15 rokov pred
Makefile 7ee080aec3 HUE-758 [core] Internationalization 13 rokov pred
Makefile.sdk 7ee080aec3 HUE-758 [core] Internationalization 13 rokov pred
Makefile.tarball 8ab4ca331c HUE-758 [core] Finishing Internationalization 13 rokov pred
Makefile.vars 7ee080aec3 HUE-758 [core] Internationalization 13 rokov pred
Makefile.vars.priv ae333e405b hue (formerly Cloudera Desktop) from internal commit 4694ac0434dad85170854c5378a389585d87f679 15 rokov pred
NOTICE.txt 4034c6ea10 [oozie] New calendar widget and field 13 rokov pred
README.rst 5be57364af [doc] Improve getting started section 13 rokov pred
README.testing c7e29b51f7 HUE-662. [config] Each Hadoop hdfs/mr/yarn cluster to define its own env 13 rokov pred
README.versions 119616dc17 HUE-424 - Hue Mavenization 15 rokov pred
VERSION 82a7b6eb8c [build] Updated version to 2.1.0 13 rokov pred

README.rst

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 a FileBrowser for accessing HDFS, JobSub and
JobBrowser applications for submitting and viewing MapReduce jobs, a Beeswax
application for executing Hive queries. 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 "core" stuff is in ``desktop/core/``, whereas 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 code
models.py
urls.py
views.py
forms.py
settings.py
for Django code

conf/
for configuration (``.ini``) files to be installed

static/
for static HTML and js resources

templates/
for data to be put through a template engine

docs/
for helpful notes

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 0.7
* jQuery 1.7
* Bootstrap 2


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