Hi there, I've posted a few days ago about the POC I'm doing here at my
company. I have some initial numbers and I'd like to ask for some help here
in order to promote neo4j here in LMI Ericsson.
I've loaded a mySQL db with a really simple entity, that pretty much only
represents a node and
Vinicius,
in order to cut down on the REST JSON overhead (which you don't have
in the RDBMS case), maybe you could look at just counting the results,
something like
START n = node(3)
MATCH n--()--(x)
return count(x)
And see what happens?
Cheers,
/peter neubauer
GTalk: neubauer.peter
Hi Peter, thanks, that indeed boosts to lower 10 ms, but we really need to
access the nodes to perform the operations.
I know that to be fair on a test, we should be running an embedded version
of neo4j inside the appserver, after all the cache resides in the same JVM.
But I'm not worried with
Vinicius,
in real-world usages, you probably want to build a REST API that
operates on domain and usecase level. Shuffling 6K nodes forth and
back and resolve properties sounds not good to me, given the REST
discovery overhead of the JSON representation. At the very least, you
could do
START n =
Peter, I agree with you, would not be the ideal scenario, I would never
access a REST api that way, at minimum pagination should be there. But we
have this really specific case, where we need to have (not whole domain)
but at least part of it (power, bearing, gain, frequency) to perform some
Vinicius,
first: did you have any issues importing the data into Neo4j?
second: your example used cypher which is not optimized for performance (yet!).
This is in our plans for the next two releases of neo4j.
So if you want to see the real performance of neo4j, please use the traversal
.
-Original Message-
From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org] On
Behalf Of Vinicius Carvalho
Sent: Wednesday, November 23, 2011 6:55 AM
To: Neo4j user discussions
Subject: Re: [Neo4j] How to boost performance?
Hi Peter, thanks, that indeed boosts to lower 10 ms
Hi Michael, thanks. The data load was fine, I've used your script with the
BathInserter. Memory footprint was really slow, I think the peak was 200mb
of heap usage. I did something really retarded and left a logger.info,
which slowed things a bit, but the process was really smooth.
Many thanks on
Please use EmbeddedGraphDatabase,
EmbeddedReadOnlyGraphDatabase caches a snapshot of the data in its caches and
doesn't get update-changes.
Michael
Am 23.11.2011 um 14:39 schrieb Vinicius Carvalho:
Hi Michael, thanks. The data load was fine, I've used your script with the
BathInserter.
But wouldn't it mean that I need to have exclusive lock on the db? I would
like to keep the server running pointing at the same data directory.
Regards
On Wed, Nov 23, 2011 at 1:50 PM, Michael Hunger
michael.hun...@neotechnology.com wrote:
Please use EmbeddedGraphDatabase,
Just make sure that it is just a snapshot of the data and doesn't update its
caches.
Otherwise you will run into synchronization issues.
See also this thread and Tobias' explanations around it:
Tks, for this test it's just a readonly graph now, so I don't think I'll
run into synchronization issues. As we proceed with tests, I do hope that
we will have one day is a HA version of neo4j. And as Jim's said in that
thread, use it for other to read the graph.
Regards
On Wed, Nov 23, 2011 at
Hi Michael, this is going to be a newbie question, so please forgive me:
I've re ran the tests with your examples, and using a embedded database.
First thing: Whooping FAST! Mind blowing :D - 5ms
But ... I got different results, same time though which is great, proves
the exact thing that
You might run into uniqueness constraints.
There are different uniqueness constraints that can be specified for a
traversal, meaning how often is a node visited during one.
(see here:
http://components.neo4j.org/neo4j/1.6-SNAPSHOT/apidocs/org/neo4j/kernel/Uniqueness.html)
You probably want to
Tks once again Michael.
Adding the Direction.Outgoing nailed it, I have the same dataset as the
ones using cypher
On the first one using the traversaldescription, I've modified to:
TraversalDescription traversalQuery =
hi,
i noticed that you were using db.getNodeById to retrieve the starting
node. the performance of this method call is quite different from real
world apps especially those have external unique id. basically you
need to index the external id yourself and get it via index call.
besides, i'd suggest
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