I think this might be another case of a problem that would be a lot easier
to solve if the python bindings pushed out full stack traces. It's in my
backlog to fix that.
I'm gonna *guess* that the problem has to do with store upgrades. Are you
using the 1.5.M02 version of neo4j embedded?
If so, you need to tell the database it's ok to upgrade the store, like
this:
from neo4j import GraphDatabase
db = new GraphDatabase('somefolder', allow_store_upgrade="true")
On Mon, Oct 17, 2011 at 4:19 PM, Jacopo Farina <[email protected]>wrote:
> Hi all,
> I'm trying to work with Neo4j embedded with Python, but, if I try to open a
> database created with the Java batch inserter (neo4j 1.4) by using
> Python-embedded, I get the error described here
> https://trac.neo4j.org/ticket/275
> The database works correctly when opened in Neoclipse or with neo4j
> stand-alone server (by replacing the data folder), and if I create a new
> database directly with Python embedded it works too. Is there a way to
> solve
> this problem?
>
> Then, how much is fast the neo4j-REST traverser compared with the Java
> embedded traverser on a 3 million nodes graph?
>
As far as I know, we don't have any benchmarks that compare this. The speed
difference should not be huge though. The server is a lot slower for reads
and writes, but for traversals, the overhead of the server plays a much
smaller part.
Sidenote: The size of your graph should generally not affect traversal speed
(unless the graph does not fit in memory), what matters is how much of the
graph you traverse. In java embedded, we used to say that you get maybe 1
000 000 relationships traversed per second (although speed can be both
higher and much lower, depending on what your traversal does).
>
> Cheers!
> Jacopo Farinat
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>
/Jake
--
Jacob Hansson
Phone: +46 (0) 763503395
Twitter: @jakewins
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