Implements the Python DB API 2.0 for Neo4j, compatible with python 2.6, 2.7, 3.2 and 3.3 and Neo4j >= 2.0.0
http://legacy.python.org/dev/peps/pep-0249/
pip install neo4jdb
import neo4j
connection = neo4j.connect("http://localhost:7474")
cursor = connection.cursor()
for name, age in cursor.execute("MATCH (n:User) RETURN n.name, n.age"):
print name, age
The library generally adheres to the DB API, please refer to the documentation for the DB API for detailed usage.
# Write statements
cursor.execute("CREATE (n:User {name:'Stevie Brook'}")
connection.commit() # Or connection.rollback()
# With positional parameters
cursor.execute("CREATE (n:User {name:{0}})", "Bob")
# With named parameters
cursor.execute("CREATE (n:User {name:{name}})", name="Bob")
Neo4jDB uses paver as its build system. To install paver:
pip install paver
Then you can build Neo4jDB with:
paver build
And install it with:
paver install
Running tests requires a Neo4j server running on localhost. Paver can handle this for you:
paver start_server paver nosetests paver stop_server
Parameters
The library delegates to Neo4j for parameter substitution, which means it does not use any of the standard parameter substitution types defined in the spec.
Instead it uses curly brackets with named and/or positional parameters:
{0} or {identifier}
Type system
Because the wire format for Neo4j is JSON, the library does not support the date or binary value types. This may change in the future as the wire format for Neo4j evolves.
In a similar vein, because Neo4j is a schema-optional database, it may return arbitrary types in each cell in the result table. As such, the description of the result table always marks each column type as neo4j.MIXED.