Pyoko is a Django-esque ORM for Riak KV
Project description
Pyoko: A Django-esque NoSQL ORM for Riak KV 2.1.4
Features
Nested class based data models (schemas).
One-To-One, ManyToMany and ManyToOne relations.
AND queries by using filter() and exclude() methods.
Or, in, greater than, lower than queries.
Query chaining and caching.
Automatic Solr schema creation / update (one way migration).
Row level access control, permission based cell filtering.
Self referencing model relations.
Automatic versioning on write-once buckets.
Customizable activity logging to write-once buckets.
Works with Riak 2.1 and up.
Planned
Configurable auto-denormalization (aka reactive joins / write-time joins) for relations.
Custom migrations with migration history.
CRDT based models.
API Documentation
Read the API documentation at pyoko.readthedocs.org.
Quick Start
Your project should within Python path, so you could be able to import it.
Base file structure of a Pyoko based project;
manage.py:
from pyoko.manage import *
environ.setdefault('PYOKO_SETTINGS', '``<PYTHON.PATH.TO.PROJECT>``.settings')
ManagementCommands(argv[1:])
settings.py
RIAK_SERVER = 'localhost'
RIAK_PROTOCOL = 'http'
RIAK_PORT = '8098'
# if not defined, will be searched within same directory as settings.py
# MODELS_MODULE = '<PYTHON.PATH.OF.MODELS.MODULE>'
models.py (or models package)
from pyoko import Model, Node, ListNode, field
class Permission(Model):
name = field.String("Name")
code = field.String("Code Name")
class Meta:
verbose_name = "Permission"
verbose_name_plural = "Permissions"
def __unicode__(self):
return "%s %s" % (self.name, self.code)
class Unit(Model):
name = field.String("Name")
address = field.String("Address", null=True, blank=True)
class Meta:
verbose_name = "Unit"
verbose_name_plural = "Units"
def __unicode__(self):
return self.name
class Person(Model):
first_name = field.String("Name")
last_name = field.String("Surname")
work = Unit(verbose_name="Work", reverse_name="workers")
home = Unit(verbose_name="Home", reverse_name="residents")
class ContactInfo(Node):
address = field.String("Address", null=True, blank=True)
city = field.String("City")
phone = field.String("Phone")
email = field.String("Email")
class Permissions(ListNode):
perm = Permission()
def __unicode__(self):
return self.perm
def __unicode__(self):
return "%s %s" % (self.first_name, self.last_name)
def get_permission_codes(self):
return [p.perm.code for p in self.Permissions]
def add_permission(self, perm):
self.Permissions(permission=perm)
self.save()
def has_permission(self, perm):
return perm in self.Permissions
def has_permission_code(self, perm_code):
perm = Permission.object.get(code=perm_code)
return self.has_permission(perm)
Creating objects, Making Queries
from .models import Person, Unit, Permission
user = Person(first_name='Bugs')
user.last_name = 'Bunny'
contact_info = user.ContactInfo(email="foo@foo.com", city="Izmir")
contact_info.phone = "55555555"
user.work = Unit(name="Acme").save()
user.home = Unit(name= "Emac").save()
user.save()
Notes
Do not use Protocol Buffers in development, it doesn’t give proper descriptions for server side errors.
Use CamelCase for model, node and listnodes
Use underscored names for fields
_id and _set are reserved suffixes for internal use. Do not suffix your fields with _id or _set.
deleted and timestamp are implicitly added fields. Do not use these words as field names.
Set DEBUG to 1 or greater integer to enable query debugging which collects query stats under sys._debug_db_queries:
In [1]: import sys
In [2]: sys._debug_db_queries
Out[2]:
[
{'BUCKET': 'models_personel',
'QUERY': '-deleted:True',
'QUERY_PARAMS': {'rows': 1, 'sort': b'timestamp desc', 'start': 0},
'TIME': 0.0056,
'TIMESTAMP': 1452245987.258094},
{'BUCKET': 'models_personel',
'KEY': 'Aqq2O50XGqerJsfOPquqDmINbyM',
'TIME': 0.00229,
'TIMESTAMP': 1452245980.413088},
]
Set value of DEBUG to 5 or a greater integer to get instant print out of each executed query.
In [1]: Personel.objects.filter(ad__startswith='Al')
Out[1]: QRY => ad:Al* AND -deleted:True
[<Personel: ali g.>]
If you want to enable logging and versioning, create and activate a bucket type with leveldb backend
riak-admin bucket-type create log_version '{"props": {"backend": "leveldb_mult"}}'
riak-admin bucket-type activate log_version
Tests
Create a bucket type named “pyoko_models” and activate it with following commands:
#!/bin/sh
# 1 node development:
./bin/riak-admin bucket-type create pyoko_models '{"props":{"last_write_wins":true, "dvv_enabled":false, "allow_mult":false, "n_val":1}}'
# >= 3 node production:
#./bin/riak-admin bucket-type create pyoko_models '{"props":{"consistent":true}}'
./bin/riak-admin bucket-type activate pyoko_models
You need to define the following environmental variable to run tests.
PYOKO_SETTINGS='tests.settings'
to create or update schemas run the following command:
python manage.py migrate --model User,Permission
or
python manage.py migrate --model all
py.test command runs all the tests from tests directory.
Support
Feel free to fork this and send back Pull Requests for any defects or features that you want to contribute back. Opening issues here is also recommended.
If you need to get the attention of the ZetaOps team send an email to info ~at~ zetaops.io. Commercial support from ZetaOps requires a valid support contract.
License
Pyoko is licensed under the GPL v3.0
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