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An extension for storing data in HDFS

Project description

ckanext-hdfs - HDFS storing extension

ckanext-hdfs is an extension for enabling the file storage in HDFS - Hadoop Distributed File System.

This extension provides an ability to let users store a certain resource in HDFS, instead of the local file system.

Notes:

  • JAVA_HOME and HADOOP_HOME need to be set correctly.

Requirements

This extension was developed and tested under CKAN-2.7.3 and HADOOP-3.0.0

Installation

To install ckanext-hdfs:

  1. Activate your CKAN virtual environment, for example:

    . /usr/lib/ckan/default/bin/activate
    
  2. Install the ckanext-hdfs Python package into your virtual environment:

    pip install ckanext-hdfs
    
  3. Add hdfs setting in your CKAN config file (by default the config file is located at /etc/ckan/default/production.ini) as follows:

    ckan.plugins = hdfs <other-plugins>
    ckan.hdfs.storage_path = /ckan/data
    
  4. Restart CKAN. For example if you’ve deployed CKAN with Apache on Ubuntu:

    sudo service apache2 reload
    

Development Installation

To install ckanext-hdfs for development, activate your CKAN virtualenv and do:

git clone https://github.com/etri-odp/ckanext-hdfs.git
cd ckanext-hdfs
python setup.py develop
pip install -r dev-requirements.txt

Running the Tests

To run the tests, do:

nosetests --nologcapture --with-pylons=test.ini

To run the tests and produce a coverage report, first make sure you have coverage installed in your virtualenv (pip install coverage) then run:

nosetests --nologcapture --with-pylons=test.ini --with-coverage --cover-package=ckanext.hdfs --cover-inclusive --cover-erase --cover-tests

Registering ckanext-hdfs on PyPI

ckanext-hdfs should be available on PyPI as https://pypi.python.org/pypi/ckanext-hdfs. If that link doesn’t work, then you can register the project on PyPI for the first time by following these steps:

  1. Create a source distribution of the project:

    python setup.py sdist
    
  2. Register the project:

    python setup.py register
    
  3. Upload the source distribution to PyPI:

    python setup.py sdist upload
    
  4. Tag the first release of the project on GitHub with the version number from the setup.py file. For example if the version number in setup.py is 0.0.1 then do:

    git tag 0.0.1
    git push --tags
    

Acknowledgements

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-00253, Development of an Advanced Open Data Distribution Platform based on International Standards)

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