Integrates Neo4j change-feed with an ElasticSearch cluster.
The different versions of Neo4j (2.2.x, 2.3.x, 3.0.x, and 3.1.x are supported on different branches).
This Neo4j Kernel Extension updates an ElasticSearch instance or cluster with changes in the graph.
A transaction event listener checks changed Nodes against a given label, renders the whole node as json document and indexes all changes in bulk with ES.
-
Download the jar from the latest release.
-
Copy to
$NEO4J_HOME/plugins
or for Neo4j community to the plugins folder that you find on theOptions
pane. -
Modify
$NEO4J_HOME/conf/neo4j.conf
accordingly (see the Example section) -
Restart Neo4j
Suppose that we keep nodes in our Neo4j instance labeled Person
and
Place
, and that we want to index the values of the first_name
and
last_name
properties of the former and name
of the latter in two
separate ElasticSearch indices named people
and places
. For that,
we would add the following directives to conf/neo4j.conf
:
elasticsearch.host_name=http://localhost:9200 elasticsearch.index_spec=people:Person(first_name,last_name), places:Place(name)
With that in place, Neo4j will now track changes to nodes labeled
Person
or Place
and keep our ES instance running on
localhost:9200
in sync.
To perform an initial import, you can force a commit by executing a Cypher query like:
MATCH n:Person SET n.first_name = n.first_name, n.last_name = n.last_name; MATCH n:Place SET n.name = n.name;
By default, the indexes created will contain fields for the Neo4j ID and Labels, named id
and labels
.
These will be auto-created as searchable fields, but, if you’d prefer they not be included,
simply add one or both of these lines to your conf/neo4j.conf
file.
elasticsearch.include_id_field=false
elasticsearch.include_labels_field=false
By default discovery (discovering of nodes within a cluster) is turned off. If you would like to turn discovery on, use the discovery option.
elasticsearch.discovery=true
To run the tests, run mvn test
. Make sure that an elastic{search} server is running on
localhost:9200
.