========
PynamoDB
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A Pythonic interface for Amazon's DynamoDB <https://aws.amazon.com/dynamodb/>
_.
DynamoDB is a great NoSQL service provided by Amazon, but the API is verbose.
PynamoDB presents you with a simple, elegant API.
Useful links:
Installation
From PyPi::
$ pip install pynamodb
From GitHub::
$ pip install git+https://github.com/pynamodb/PynamoDB#egg=pynamodb
From conda-forge::
$ conda install -c conda-forge pynamodb
Basic Usage
Create a model that describes your DynamoDB table.
.. code-block:: python
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute
class UserModel(Model):
"""
A DynamoDB User
"""
class Meta:
table_name = "dynamodb-user"
email = UnicodeAttribute(null=True)
first_name = UnicodeAttribute(range_key=True)
last_name = UnicodeAttribute(hash_key=True)
PynamoDB allows you to create the table if needed (it must exist before you can use it!):
.. code-block:: python
UserModel.create_table(read_capacity_units=1, write_capacity_units=1)
Create a new user:
.. code-block:: python
user = UserModel("John", "Denver")
user.email = "djohn@company.org"
user.save()
Now, search your table for all users with a last name of 'Denver' and whose
first name begins with 'J':
.. code-block:: python
for user in UserModel.query("Denver", UserModel.first_name.startswith("J")):
print(user.first_name)
Examples of ways to query your table with filter conditions:
.. code-block:: python
for user in UserModel.query("Denver", UserModel.email=="djohn@company.org"):
print(user.first_name)
Retrieve an existing user:
.. code-block:: python
try:
user = UserModel.get("John", "Denver")
print(user)
except UserModel.DoesNotExist:
print("User does not exist")
Upgrade Warning
The behavior of 'UnicodeSetAttribute' has changed in backwards-incompatible ways
as of the 1.6.0 and 3.0.1 releases of PynamoDB.
See UnicodeSetAttribute upgrade docs <https://pynamodb.readthedocs.io/en/latest/release_notes.html>
_
for detailed instructions on how to safely perform the upgrade.
Advanced Usage
Want to use indexes? No problem:
.. code-block:: python
from pynamodb.models import Model
from pynamodb.indexes import GlobalSecondaryIndex, AllProjection
from pynamodb.attributes import NumberAttribute, UnicodeAttribute
class ViewIndex(GlobalSecondaryIndex):
class Meta:
read_capacity_units = 2
write_capacity_units = 1
projection = AllProjection()
view = NumberAttribute(default=0, hash_key=True)
class TestModel(Model):
class Meta:
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:
.. code-block:: python
for item in TestModel.view_index.query(0):
print("Item queried from index: {0}".format(item))
It's really that simple.
Want to use DynamoDB local? Just add a host
name attribute and specify your local server.
.. code-block:: python
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute
class UserModel(Model):
"""
A DynamoDB User
"""
class Meta:
table_name = "dynamodb-user"
host = "http://localhost:8000"
email = UnicodeAttribute(null=True)
first_name = UnicodeAttribute(range_key=True)
last_name = UnicodeAttribute(hash_key=True)
Want to enable streams on a table? Just add a stream_view_type
name attribute and specify
the type of data you'd like to stream.
.. code-block:: python
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute
from pynamodb.constants import STREAM_NEW_AND_OLD_IMAGE
class AnimalModel(Model):
"""
A DynamoDB Animal
"""
class Meta:
table_name = "dynamodb-user"
host = "http://localhost:8000"
stream_view_type = STREAM_NEW_AND_OLD_IMAGE
type = UnicodeAttribute(null=True)
name = UnicodeAttribute(range_key=True)
id = UnicodeAttribute(hash_key=True)
Features
- Python >= 3.7 support
- An ORM-like interface with query and scan filters
- Compatible with DynamoDB Local
- Supports the entire DynamoDB API
- Support for Unicode, Binary, JSON, Number, Set, and UTC Datetime attributes
- Support for Global and Local Secondary Indexes
- Provides iterators for working with queries, scans, that are automatically paginated
- Automatic pagination for bulk operations
- Complex queries
- Batch operations with automatic pagination
- Iterators for working with Query and Scan operations