Object Mapper¶
cqlengine is the Cassandra CQL 3 Object Mapper packaged with this driver
Contents¶
- Upgrade Guide
- For migrating projects from legacy cqlengine, to the integrated product
- Models
- Examples defining models, and mapping them to tables
- Making Queries
- Overview of query sets and filtering
- Batch Queries
- Working with batch mutations
- API Documentation
- Index of API documentation
- Third party integrations
- High-level examples in Celery and uWSGI
Getting Started¶
import uuid from cassandra.cqlengine import columns from cassandra.cqlengine import connection from datetime import datetime from cassandra.cqlengine.management import sync_table from cassandra.cqlengine.models import Model #first, define a model class ExampleModel(Model): example_id = columns.UUID(primary_key=True, default=uuid.uuid4) example_type = columns.Integer(index=True) created_at = columns.DateTime() description = columns.Text(required=False) #next, setup the connection to your cassandra server(s)... # see http://datastax.github.io/python-driver/api/cassandra/cluster.html for options # the list of hosts will be passed to create a Cluster() instance connection.setup(['127.0.0.1'], "cqlengine", protocol_version=3) #...and create your CQL table >>> sync_table(ExampleModel) #now we can create some rows: >>> em1 = ExampleModel.create(example_type=0, description="example1", created_at=datetime.now()) >>> em2 = ExampleModel.create(example_type=0, description="example2", created_at=datetime.now()) >>> em3 = ExampleModel.create(example_type=0, description="example3", created_at=datetime.now()) >>> em4 = ExampleModel.create(example_type=0, description="example4", created_at=datetime.now()) >>> em5 = ExampleModel.create(example_type=1, description="example5", created_at=datetime.now()) >>> em6 = ExampleModel.create(example_type=1, description="example6", created_at=datetime.now()) >>> em7 = ExampleModel.create(example_type=1, description="example7", created_at=datetime.now()) >>> em8 = ExampleModel.create(example_type=1, description="example8", created_at=datetime.now()) #and now we can run some queries against our table >>> ExampleModel.objects.count() 8 >>> q = ExampleModel.objects(example_type=1) >>> q.count() 4 >>> for instance in q: >>> print instance.description example5 example6 example7 example8 #here we are applying additional filtering to an existing query #query objects are immutable, so calling filter returns a new #query object >>> q2 = q.filter(example_id=em5.example_id) >>> q2.count() 1 >>> for instance in q2: >>> print instance.description example5