Re: [VOTE] JanusGraph 0.6.0 release


Boxuan Li
 

I did the following tests:

  1. Connected to AWS keyspace, did some simple traversals
  2. Compatibility test: using 0.5.3 CQL + ES to create a graph with 10 million nodes (https://gist.github.com/li-boxuan/d8059d1c40652c3c5308670ce383e96a), able to load using 0.6.0
  3. Did some simple performance comparison (using the graph created in the previous test) and saw significant performance improvements (up to 2x) in some queries, compared to 0.5.3:

0.5.3 (query.batch=true):

gremlin>  clock(10) { graph.traversal().V().has("name", "inner0").toList() }

==>478.1922667999999

gremlin>  clock(10) { graph.traversal().V().has("age", 0).toList() }

==>17873.4094548

gremlin> clock(10) {graph.traversal().V().has("name", "outer").out().out().toList()}

==>14500.0969486

 

 

0.6.0 (query.batch = true, query.limit-batch-size=true)

gremlin>  clock(10) { graph.traversal().V().has("name", "inner0").toList() }

==>267.27335619999997

gremlin> clock(10) { graph.traversal().V().has("age", 0).toList() }

==>7432.816540099999

gremlin> clock(10) {graph.traversal().V().has("name", "outer").out().out().toList()}

==>11786.6717737

 

  1. Basic SparkGraphComputer traversal works in Spark-local, Spark standalone cluster, and Spark yarn cluster modes. I also wrote a blog to record all configurations needed: https://li-boxuan.medium.com/configure-janusgraph-0-6-0-for-spark-64bd7628fb77

My vote is +1.

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