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A pythonic interface to Amazon's DynamoDB

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pynamodb/PynamoDB

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A Pythonic interface for Amazon'sDynamoDB.

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.

frompynamodb.modelsimportModelfrompynamodb.attributesimportUnicodeAttributeclassUserModel(Model):"""    A DynamoDB User    """classMeta: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!):

UserModel.create_table(read_capacity_units=1,write_capacity_units=1)

Create a new user:

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 whosefirst name begins with 'J':

foruserinUserModel.query("Denver",UserModel.first_name.startswith("J")):print(user.first_name)

Examples of ways to query your table with filter conditions:

foruserinUserModel.query("Denver",UserModel.email=="djohn@company.org"):print(user.first_name)

Retrieve an existing user:

try:user=UserModel.get("John","Denver")print(user)exceptUserModel.DoesNotExist:print("User does not exist")

Upgrade Warning

The behavior of 'UnicodeSetAttribute' has changed in backwards-incompatible waysas of the 1.6.0 and 3.0.1 releases of PynamoDB.

SeeUnicodeSetAttribute upgrade docsfor detailed instructions on how to safely perform the upgrade.

Advanced Usage

Want to use indexes? No problem:

frompynamodb.modelsimportModelfrompynamodb.indexesimportGlobalSecondaryIndex,AllProjectionfrompynamodb.attributesimportNumberAttribute,UnicodeAttributeclassViewIndex(GlobalSecondaryIndex):classMeta:read_capacity_units=2write_capacity_units=1projection=AllProjection()view=NumberAttribute(default=0,hash_key=True)classTestModel(Model):classMeta: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:

foriteminTestModel.view_index.query(0):print("Item queried from index: {0}".format(item))

It's really that simple.

Want to use DynamoDB local? Just add ahost name attribute and specify your local server.

frompynamodb.modelsimportModelfrompynamodb.attributesimportUnicodeAttributeclassUserModel(Model):"""    A DynamoDB User    """classMeta: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 astream_view_type name attribute and specifythe type of data you'd like to stream.

frompynamodb.modelsimportModelfrompynamodb.attributesimportUnicodeAttributefrompynamodb.constantsimportSTREAM_NEW_AND_OLD_IMAGEclassAnimalModel(Model):"""    A DynamoDB Animal    """classMeta:table_name="dynamodb-user"host="http://localhost:8000"stream_view_type=STREAM_NEW_AND_OLD_IMAGEtype=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

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