Skip to main content

A Pythonic Interface to DynamoDB

Project description

https://img.shields.io/pypi/v/pynamodb.svg https://img.shields.io/conda/vn/conda-forge/pynamodb.svg https://img.shields.io/travis/pynamodb/PynamoDB/master.svg https://img.shields.io/coveralls/pynamodb/PynamoDB/master.svg

A Pythonic interface for Amazon’s 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

Upgrading

The following steps can be used to safely update PynamoDB assuming that the data stored in the item’s UnicodeSetAttribute is not JSON. If JSON is being stored, these steps will not work and a custom migration plan is required. Be aware that values such as numeric strings (i.e. “123”) are valid JSON.

When upgrading services that use PynamoDB with tables that contain UnicodeSetAttributes with a version < 1.6.0, first deploy version 1.5.4 to prepare the read path for the new serialization format.

Once all services that read from the tables have been deployed, then deploy version 2.2.0 and migrate your data using the provided convenience methods on the Model. (Note: these methods are only available in version 2.2.0)

def get_save_kwargs(item):
    # any conditional args needed to ensure data does not get overwritten
    # for example if your item has a `version` attribute
    {'version__eq': item.version}

# Re-serialize all UnicodeSetAttributes in the table by scanning all items.
# See documentation of fix_unicode_set_attributes for rate limiting options
# to avoid exceeding provisioned capacity.
Model.fix_unicode_set_attributes(get_save_kwargs)

# Verify the migration is complete
print("Migration Complete? " + Model.needs_unicode_set_fix())

Once all data has been migrated then upgrade to a version >= 3.0.1.

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
    """
    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!):

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 whose first name begins with ‘J’:

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:

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

Retrieve an existing user:

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

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):
    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:

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.

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.

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 >= 3.6 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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pynamodb-5.0.0b4.tar.gz (52.2 kB view details)

Uploaded Source

Built Distribution

pynamodb-5.0.0b4-py3-none-any.whl (55.7 kB view details)

Uploaded Python 3

File details

Details for the file pynamodb-5.0.0b4.tar.gz.

File metadata

  • Download URL: pynamodb-5.0.0b4.tar.gz
  • Upload date:
  • Size: 52.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.0

File hashes

Hashes for pynamodb-5.0.0b4.tar.gz
Algorithm Hash digest
SHA256 aa7b5ca690fa7040637807ca421f236b35fa86fd95e70df6e55184d5a8d087bb
MD5 34fa8f465ec001f06cbbab960682baa1
BLAKE2b-256 a2888f8ae80af8c9525eec6ccaa330db80420587adeae010bbb8caaba4fbe8f0

See more details on using hashes here.

File details

Details for the file pynamodb-5.0.0b4-py3-none-any.whl.

File metadata

  • Download URL: pynamodb-5.0.0b4-py3-none-any.whl
  • Upload date:
  • Size: 55.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.0

File hashes

Hashes for pynamodb-5.0.0b4-py3-none-any.whl
Algorithm Hash digest
SHA256 b533c9bff321c31e28fc6ab66a6c3b55fe9224953bd363601983594a4968a970
MD5 fa419c2cf197b965795a3fe4ad7ece41
BLAKE2b-256 96de6c507873cecaba41b9b26f9524613fed4f967466c8963086a026f72971d3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page