Building a Graph Database Application - Graph Databases - page 85

tx . success ();
}
finally
{
tx . finish ();
}
return db ;
}
There are two things of interest in createDatabase() . The first is the use of Imperma
nentGraphDatabase , which is a lightweight, in-memory version of Neo4j designed
specifically for unit testing. By using ImpermanentGraphDatabase , we avoid having to
clear up store files on disk after each test. The class can be found in the Neo4j kernel
test jar, which can be obtained with the following dependency reference:
<dependency>
<groupId> org.neo4j </groupId>
<artifactId> neo4j-kernel </artifactId>
<version> ${project.version} </version>
<type> test-jar </type>
<scope> test </scope>
</dependency>
ImpermanentGraphDatabase should only be used in unit tests. It is not
a production-ready, in-memory version of Neo4j.
The second thing of interest in createDatabase() is the code for adding nodes to a
named index. Cypher doesn't add the newly created nodes to an index, so for now, we
have to do this manually by iterating all the nodes in the sample graph, adding any with
a name property to the users named index.
Having created a sample graph, we can now write our first test. Here's the test fixture
for testing our social network data model and its queries:
public class SocialNetworkTest
{
private static GraphDatabaseService db ;
private static SocialNetworkQueries queries ;
@BeforeClass
public static void init ()
{
db = createDatabase ();
queries = new SocialNetworkQueries ( db );
}
@AfterClass
public static void shutdown ()