Hi Marc - not sure I understand.  I tried this:

gremlin> g=graph.traversal()
==>graphtraversalsource[standardjanusgraph[hbase:[10.22.5.63:2181, 10.22.5.64:2181, 10.22.5.65:2181]], standard]
gremlin> result=graph.compute().program(PageRankVertexProgram.build().create()).submit().get()

Is that what you mean?  That does not work on very large graphs.  Even on a small graph (about 9 million nodes), it took 8 hours to complete, and uses only one machine to do the work.  I'm looking for methods to calculate values on very large graphs.  Any ideas?
Thank you!

-Joe

On 9/26/2017 3:40 PM, HadoopMarc wrote:

Hi Joe,

No, not exactly, because the TinkerPop recipe points at spark-submit as the source of most of the version conflicts. Spark-submit is just a big wrapper around the Spark launch API that sets the environment but does not do that in an application-friendly way. I would first try from the gremlin console for which the recipe was written. Doing the OLAP pagerank in a java project without spark-submit will require some effort to get the classpath right.

HTH,   Marc

Op dinsdag 26 september 2017 00:46:26 UTC+2 schreef Joseph Obernberger:

Thank you Marc.  I assume this would be java code that would be executed via spark-submit?

-Joe

On 9/25/2017 3:21 PM, HadoopMarc wrote:

Hi Joe,

Maybe a suggestion after all. I believe you ran the PageRankVertexProgram directly on the JanusGraph instance, but it should also be possible to run it on a HadoopGraph with compute(SparkGraphComputer) via JanusGraph's HBaseInputFormat. That would at least parallelize the table scan to the number of HBase regions. In my previous answer I assumed you did that!

Cheers,     Marc

Op maandag 25 september 2017 17:24:55 UTC+2 schreef Joseph Obernberger:

It reminds me of that one too!  At present, I'm locked in with HBase, so I can't make the switch to Cassandra very easily.  I did try:
result = graph.compute().program(PageRankVertexProgram.build().create()).submit().get()

It took a little over 8 hours to run, but did complete once I adjusted the hbase.client.scanner.timeout.period to something very long.  Interestingly, I had to modify that in the included jar file, not in the file in /etc/hbase/conf. 

Would really like to get this time to run way down, but not sure what other method to try.

-Joe

On 9/22/2017 1:05 PM, HadoopMarc wrote:

Hi Joe,

This question reminds me to an earlier discussion we had on the performance of OLAP traversals for janusgraph-hbase. My conclusion there that janusgraph-hbase needs a better HbaseInputFormat that delivers more partitions than one partition per HBase region. I guess Pagerank suffers from that in the same way. Do you maybe have the option to use Cassandra, which has a configurable cassandra.inpit.split.size ? I did not try this myself.

HTH,    Marc

Op vrijdag 22 september 2017 15:41:12 UTC+2 schreef Joseph Obernberger:

Hi All - I've been experimenting with SparkGraphComputer, and have it
working, but I'm having performance issues.  What is the best way to run
PageRank against a very large graph stored inside of JanusGraph?

Thank you!

-Joe

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