How to make a selective fulltext index for neo4j in bulbs framework for Python?

Question

James Thronton provides an excellent example of how to configure bulbs to use a fulltext index as default index for all neo4j fileds here: https://gist.github.com/espeed/3025438

However, is there a way of manually managing fulltext indexes so that they only cover some properties on some node types? If yes, how it is done?

Answer 1

See my answer on how to do selective indexing in Bulbs without models...

• https://stackoverflow.com/a/20046763/161085

And if you don't want to use the FulltextIndex as the default index (presumably for performance reasons), you can manually put the values to be indexed:

>>> from bulbs.neo4jserver import Graph, FulltextIndex
>>> from bulbs.element import Vertex
>>> index_name="fulltext_vertex"
>>> g = Graph()
>>> g.vertices.fulltext = g.factory.get_index(Vertex, FulltextIndex, index_name) 
>>> james = g.vertices.create(name="James Thornton", city="Dallas")
>>> g.vertices.fulltext.put(james.eid, name=james.name)
>>> vertices = g.vertices.fulltext.query(name="James")
>>> vertices.next()

See...

• Bulbs Docs http://bulbflow.com/docs/api/bulbs/neo4jserver/indices/#fulltext-index
• Index https://github.com/espeed/bulbs/blob/master/bulbs/neo4jserver/index.py#L228
• Fulltext https://github.com/espeed/bulbs/blob/master/bulbs/neo4jserver/index.py#L483

And to automate the fulltext indexing behavior without making the fulltext index the default index, use a Bulbs Model and create a custom Graph object.

See my answer on how to customize Bulbs models...

• Is there a equivalent to commit in bulbs framework for neo4j