Hi all, I'm struggling with importing a graph with about 10m nodes and 20m relationships, with nodes having 0 to 10 relationships. Creating the nodes takes about 10 minutes, but creating the relationships is slower by several orders of magnitude. I'm using a 2.4 GHz i7 MacBookPro with 4GB RAM and conventional HDD.
The graph is stored as adjacency list in a text file where each line has this form: Foo|Bar|Baz (Node Foo has relations to Bar and Baz) My current approach is to iterate over the whole file twice. In the first run, I create a node with the property "name" for the first entry in the line (Foo in this case) and add it to an index. In the second run, I get the start node and the end nodes from the index by name and create the relationships. My code can be found here: http://pastie.org/2041801 With my approach, the best I can achieve is 100 created relationships per second. I experimented with mapped memory settings, but without much effect. Is this the speed I can expect? Any advice on how to speed up this process? Best regards, Daniel Hepper _______________________________________________ Neo4j mailing list [email protected] https://lists.neo4j.org/mailman/listinfo/user
