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mathebox/django_hana_pyhdb

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Django DB Backend for SAP HANA

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Installation

  1. Install PyHDB

  2. Install the python package via setup.py

    python setup.py install
  3. The config in the Django project is as follows

    DATABASES = {
        'default': {
            'ENGINE': 'django_hana',           # or as per your python path
            'NAME': '<SCHEMA_NAME>',           # The schema to use. It will be created if doesn't exist
            'USER': '<USERNAME>',
            'PASSWORD': '<PASSWORD>',
            'HOST': '<HOSTNAME>',
            'PORT': '3<INSTANCE_NUMBER>15',
        }
    }
  4. HANA doesn't support Timezone. Set USE_TZ=False in settings.py.

Config

Column/Row store

Use the column/row-store class decorators to make sure that your models are using the correct HANA engine. If the models are not using any decorators the default behaviour will be a ROW-store column.

from django.db import models
from django_hana import column_store, row_store

@column_store
class ColumnStoreModel(models.Model):
	some_field = models.CharField()

@row_store
class RowStoreModel(models.Model):
	some_field = models.CharField()

Support of spatial column types

Add django.contrib.gis to your INSTALLED_APPS.

In your models.py files use

from django.contrib.gis.db.models import ...

instead of

from django.db.models import ...

Make use of the following fields:

  • PointField
  • LineStringField
  • PolygonField
  • MultiPointField
  • MulitLineString
  • MultiPolygon

Contributing

  1. Fork repo
  2. Create your feature branch (e.g. git checkout -b my-new-feature)
  3. Implement your feature
  4. Commit your changes (e.g. git commit -am 'Add some feature' | See here)
  5. Push to the branch (e.g. git push -u origin my-new-feature)
  6. Create new pull request

Setting up for developement / Implement a feature

  1. (Optional) Create virtualenv
  2. Install development dependencies (pip install -r requirements-testing.txt)
  3. Add test case
  4. Run tests
  5. For all supported python and django version: tox
  6. For a single env: tox -e <ENVNAME> (e.g. tox -e py35django110)
  7. Tests failing?
  8. Hack, hack, hack
  9. Run tests again
  10. Tests should pass
  11. Run isort (isort -rc . or tox -e isort)
  12. run flake8 (flake8 . or tox -e lint)

Disclaimer

This project is not a part of standard SAP HANA delivery, hence SAP support is not responsible for any queries related to this software. All queries/issues should be reported here.

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