Configuring data-sources: Neo4j
Please check for supported Neo4j versions in our compatibility matrix.
Configuration
To edit the Neo4j data-source configuration,
you can either use the Web user-interface
or edit the configuration file located at linkurious/data/config/production.json
.
Example configuration:
{
"dataSources": [
{
"graphdb": {
"vendor": "neo4j",
"url": "neo4j://127.0.0.1:7687/",
"user": "myNeo4jUser",
"password": "myNeo4jPassword"
},
"index": {
"vendor": "neo4jSearch"
}
}
]
}
Example configuration using TLS:
{
"dataSources": [
{
"graphdb": {
"vendor": "neo4j",
"url": "neo4j+s://127.0.0.1:7687/",
"user": "myNeo4jUser",
"password": "myNeo4jPassword"
},
"index": {
"vendor": "neo4jSearch"
}
}
]
}
Learn more on how to configure SSL from the Neo4j documentation.
Linkurious connects to Neo4j via the
Bolt
protocol. To do so, you need to enable the protocol in your Neo4j configuration file. If an HTTP/S URL is configured, Linkurious will automatically upgrade the connection to Bolt.
Supported graphdb
options with Neo4j:
url
(required): URL of the Neo4j server (http, https, bolt, bolt+s, bolt+ssc, neo4j, neo4j+s, neo4j+ssc)user
(optional): Neo4j user (if credentials are enabled, see Neo4j credentials)password
(optional): Neo4j password (if credentials are enabled)proxy
(optional): URL of the HTTP proxy to use to connect to Neo4j (only used whenurl
is HTTP/S)alternativeNodeId
(optional): Name of the node property to use as reference in visualizations (see alternative IDs)alternativeEdgeId
(optional): Name of the edge property to use as reference in visualizationslatitudeProperty
(optional): Name of the node property to use for latitude (used in geo mode)longitudeProperty
(optional): Name of the node property to use for longitude (used in geo mode)allowSelfSigned
(optional, defaultfalse
): Whether to allow self-signed certificatesdatabaseName
(optional): Name of the database to be connectedallowVirtualEntities
(optional, defaulttrue
): Whether to allow virtual nodes and virtual edgesalternativeURLs
(optional): Linkurious accepts a string array consisting of alternative Neo4j Bolt URLs for high availabilityignoredEdgeTypePrefixes
(optional): List of edge type prefixes to be excluded in the schema sampling
Neo4j Aura
Linkurious Enterprise allows using Neo4j instances running on Neo4j Aura as data-sources.
Neo4j Aura is only supported for the Neo4j Aura instances running Neo4j engine v4.0 and later.
Search with Neo4j
In order to have full-text search, you can choose among the following options:
Neo4j credentials
If you just installed Neo4j, these steps will help you create credentials:
- Launch the Neo4j server
- Open your Web browser at http://127.0.0.1:7474
- Follow the instructions to create a new username and password
Alternatively, you can disable credentials in Neo4j by editing the Neo4j configuration at neo4j/conf/neo4j.conf
by uncommenting the following line:
dbms.security.auth_enabled=false
Neo4j access rights
Note that configuring access rights is unnecessary on the Neo4j Community edition or if Neo4j credentials are disabled.
In Neo4j, access rights are managed using role-based access control. You can either:
- Create a custom role with individually defined privileges and assign this custom role to your Neo4j user.
- Assign a built-in role to your Neo4j user.
Required privileges for graph exploration
In order to connect to a data-source, Linkurious requires a Neo4j user with the ACCESS
,
EXECUTE PROCEDURE
and EXECUTE FUNCTION
privileges.
These privileges only allow Linkurious to connect to the data-source.
Additional privileges must be granted in order to interact with the graph database.
The Neo4j built-in PUBLIC
role has these privileges on the default database.
These privileges can be granted on a database $name
to a custom role $role
by running the following Cypher commands:
GRANT ACCESS ON DATABASE $name TO $role;
GRANT EXECUTE FUNCTION * ON DBMS TO $role;
GRANT EXECUTE PROCEDURE * ON DBMS TO $role;
If the data-source is read-only, the MATCH
privilege must be granted on part or all of the graph,
so that Linkurious can fetch nodes and edges.
The Neo4j built-in reader
role has this privilege on all databases, except the system one.
This privilege can be granted by running the following Cypher commands:
GRANT MATCH {*} ON GRAPH $name TO $role;
If the data-source is read-write and the schema is in strict mode, the WRITE
privilege must also be granted on the graph,
so that linkurious can create nodes and edges. This corresponds to the Neo4j built-in editor
role.
GRANT WRITE ON GRAPH $name TO $role;
Additionally, if the schema is not in strict mode, the NAME MANAGEMENT
privilege must also be granted on the graph,
so that linkurious can alter the schema. This corresponds to the Neo4j built-in publisher
role.
GRANT NAME MANAGEMENT ON DATABASE $name TO $role;
Additional privileges required for full-text search
Neo4j search requires the INDEX MANAGEMENT
privilege. This corresponds to the Neo4j built-in architect
role.
GRANT INDEX MANAGEMENT ON DATABASE $name TO $role;
Elasticsearch doesn't require any specific privilege if incremental indexing is not used.
However, enabling incremental indexing on Elasticsearch requires the INDEX MANAGEMENT
privilege.
On Neo4j 5.0 and onward, the EXECUTE ADMIN PROCEDURE
privilege is also needed in order to manage Neo4j triggers.
And between Neo4j 5.0 and 5.3, the SHOW SERVER
privilege is needed in check if the Neo4j server is a standalone instance or a cluster.
These privileges correspond to the Neo4j built-in admin
role.
GRANT INDEX MANAGEMENT ON DATABASE $name TO $role;
GRANT EXECUTE ADMIN PROCEDURES ON DBMS TO $role; // Only on Neo4j 5.0 and onward
GRANT SHOW SERVER ON DBMS TO $role; // Only between Neo4j 5.0 and 5.3
Configure Alternative Ids indices
Configuring alternative IDs indices is recommended.
The first step is to:
- Decide a unique name for the newly created indices, one for nodes and one for relationships. In the following example query we picked
myAlternativeNodeIdIndex
for nodes andmyAlternativeEdgeIdIndex
for relationships. - Identify the list of node and relationship types in the Neo4j database. In the following example:
Company
,Person
andCity
are the node categories whileWORKS_FOR
andLIVES_IN
are the relationship types. - Have the 2 property keys, one for nodes and one for relationships, that identify an item uniquely in the database. In the following example we picked
myUniqueNodeId
for nodes andmyUniqueEdgeId
for relationships.
Once we have this information we can create the indices with the following Cypher queries:
CREATE FULLTEXT INDEX `myAlternativeNodeIdIndex` FOR (n:`Company`|`Person`|`City`) ON EACH [n.`myUniqueNodeId`] OPTIONS { indexConfig: { `fulltext.analyzer`: 'keyword' } }
CREATE FULLTEXT INDEX `myAlternativeEdgeIdIndex` FOR ()-[r:`WORKS_FOR`|`LIVES_IN`]-() ON EACH [r.`myUniqueEdgeId`] OPTIONS { indexConfig: { `fulltext.analyzer`: 'keyword' } }
If you are running a version of Neo4j older than v4.3 you may need to use the old syntax:
call db.index.fulltext.createNodeIndex('myAlternativeNodeIdIndex', ['Company', 'Person', 'City'], ['myUniqueNodeId'], {analyzer: 'keyword'})
call db.index.fulltext.createRelationshipIndex('myAlternativeEdgeIdIndex', ['WORKS_FOR', 'LIVES_IN'], ['myUniqueEdgeId'], {analyzer: 'keyword'})
If new node labels or edge types are added to Neo4j, it's necessary to recreate these indices with the full list of categories.
Once the indices are created, we can configure them Linkurious:
Example configuration:
{
"dataSources": [
{
"graphdb": {
"vendor": "neo4j",
"url": "neo4j://127.0.0.1:7687/",
"user": "myNeo4jUser",
"password": "nyNeo4jPassword",
"alternativeNodeId": "myUniqueNodeId",
"alternativeNodeIdIndex": "myAlternativeNodeIdIndex",
"alternativeEdgeId": "myUniqueEdgeId",
"alternativeEdgeIdIndex": "myAlternativeEdgeIdIndex"
},
"index": {
"vendor": "neo4jSearch"
}
}
]
}