You can provide the number of processors to the import tool.

I presume it's mostly your disk performance.

The import tool is unrelated to the enterprise core scalability.



On Tue, Jun 14, 2016 at 10:38 PM, Santiago Videla <santiago.vid...@gmail.com
> wrote:

> Hi,
>
> I'm using Neo 3.0.2 community edition and running the import tool I just
> found that on a machine with 4 cores and 32GB of RAM the import is actually
> ~2x faster than on another (virtual) machine with 38 cores and ~60GB of RAM.
>
> With 4 cores and 32GB:
>
> Available memory:
>   Free machine memory: 16.88 GB
>   Max heap memory : 6.97 GB
> ...
> ...
> IMPORT DONE in 1m 32s 624ms. Imported:
>   4135534 nodes
>   43160516 relationships
>   51504726 properties
>
> With 38 cores and ~60 GB
>
> Available memory:
>   Free machine memory: 24.08 GB
>   Max heap memory : 13.14 GB
> ...
> ...
> IMPORT DONE in 2m 45s 299ms. Imported:
>   4135534 nodes
>   43160516 relationships
>   51504726 properties
>
>
> Is this the expected behavior? I found in [1] that the community edition
> scales up to 4 cores (it says for version 2.3 but I assume the same holds
> for 3.0) but with more cores I'd expected at least a similar performance,
> not 2x slower.
>
> Should I use a machine with maximum 4 cores? Or can I configure Neo4j
> somehow to avoid such a decrease in performance? Also, is there any
> constraint about available memory and how the community edition scales or
> more memory should lead to better performance?
>
> Regards,
>
> [1] http://neo4j.com/blog/graphs-to-production-at-scale/
>
>
> --
> Santiago Videla
> http://www.linkedin.com/in/svidela
>
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