A Pythonic Interface to DynamoDB
Project description
A Pythonic interface for Amazon’s DynamoDB that supports Python 2 and 3.
DynamoDB is a great NoSQL service provided by Amazon, but the API is verbose. PynamoDB presents you with a simple, elegant API.
See documentation at http://pynamodb.readthedocs.org/ or ask questions on the Google group.
Basic Usage
Create a model that describes your DynamoDB table.
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute
class UserModel(Model):
"""
A DynamoDB User
"""
table_name = 'dynamodb-user'
email = UnicodeAttribute(null=True)
first_name = UnicodeAttribute(range_key=True)
last_name = UnicodeAttribute(hash_key=True)Now, search your table for all users with a last name of ‘Smith’ and whose first name begins with ‘J’:
for user in UserModel.query('Smith', first_name__begins_with='J'):
print(user.first_name)Create a new user:
user = UserModel('John', 'Denver')
user.save()Advanced Usage
Want to use indexes? No problem:
from pynamodb.models import Model
from pynamodb.indexes import GlobalSecondaryIndex, AllProjection
from pynamodb.attributes import NumberAttribute, UnicodeAttribute
class ViewIndex(GlobalSecondaryIndex):
read_capacity_units = 2
write_capacity_units = 1
projection = AllProjection()
view = NumberAttribute(default=0, hash_key=True)
class TestModel(Model):
table_name = 'TestModel'
forum = UnicodeAttribute(hash_key=True)
thread = UnicodeAttribute(range_key=True)
view = NumberAttribute(default=0)
view_index = ViewIndex()Now query the index for all items with 0 views:
for item in TestModel.view_index.query(0):
print("Item queried from index: {0}".format(item))It’s really that simple.
Installation:
$ pip install pynamodb
or install the development version:
$ pip install git+https://github.com/jlafon/PynamoDB#egg=pynamodb
Features
Python 3 support
Python 2 support
An ORM-like interface with query and scan filters
Includes the entire DynamoDB API
Supports both unicode and binary DynamoDB attributes
Support for global secondary indexes, local secondary indexes, and batch operations
Provides iterators for working with queries, scans, that are automatically paginated
Automatic pagination for bulk operations
Complex queries
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