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neo4jdb 0.0.5

DB API 2.0 driver for the Neo4j graph database.

Latest Version: 0.0.8

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/

Installing

pip install neo4jdb

Minimum viable snippet

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

Usage

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")

Building & Testing

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

Incompliance with the spec

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.

 
File Type Py Version Uploaded on Size
neo4jdb-0.0.5.tar.gz (md5) Source 2014-04-03 6KB
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